Literature DB >> 25278785

Global prevalence and incidence of traumatic spinal cord injury.

Anoushka Singh1, Lindsay Tetreault1, Suhkvinder Kalsi-Ryan1, Aria Nouri1, Michael G Fehlings1.   

Abstract

BACKGROUND: Spinal cord injury (SCI) is a traumatic event that impacts a patient's physical, psychological, and social well-being and places substantial financial burden on health care systems. To determine the true impact of SCI, this systematic review aims to summarize literature reporting on either the incidence or prevalence of SCI.
METHODS: A systematic search was conducted using PubMed, MEDLINE, MEDLINE in process, EMBASE, Cochrane Controlled Trial Register, and Cochrane Database of Systematic Reviews to identify relevant literature published through June 2013. We sought studies that provided regional, provincial/state, or national data on the incidence of SCI or reported estimates of disease prevalence. The level of evidence of each study was rated using a scale that evaluated study design, methodology, sampling bias, and precision of estimates.
RESULTS: The initial search yielded 5,874 articles, 48 of which met the inclusion criteria. Forty-four studies estimated the incidence of SCI and nine reported the prevalence, with five discussing both. Of the incidence studies, 14 provided figures at a regional, ten at a state or provincial level and 21 at a national level. The prevalence of SCI was highest in the United States of America (906 per million) and lowest in the Rhone-Alpes region, France (250 per million) and Helsinki, Finland (280 per million). With respect to states and provinces in North America, the crude annual incidence of SCI was highest in Alaska (83 per million) and Mississippi (77 per million) and lowest in Alabama (29.4 per million), despite a large percentage of violence injuries (21.2%). Annual incidences were above 50 per million in the Hualien County in Taiwan (56.1 per million), the central Portugal region (58 per million), and Olmsted County in Minnesota (54.8 per million) and were lower than 20 per million in Taipei, Taiwan (14.6 per million), the Rhone-Alpes region in France (12.7 per million), Aragon, Spain (12.1 per million), Southeast Turkey (16.9 per million), and Stockholm, Sweden (19.5 per million). The highest national incidence was 49.1 per million in New Zealand, and the lowest incidences were in Fiji (10.0 per million) and Spain (8.0 per million). The majority of studies showed a high male-to-female ratio and an age of peak incidence of younger than 30 years old. Traffic accidents were typically the most common cause of SCI, followed by falls in the elderly population.
CONCLUSION: This review demonstrates that the incidence, prevalence, and causation of SCI differs between developing and developed countries and suggests that management and preventative strategies need to be tailored to regional trends. The rising aging population in westernized countries also indicates that traumatic SCI secondary to falls may become an increasing public health challenge and that incidence among the elderly may rise with increasing life expectancy.

Entities:  

Keywords:  SCI; causation; epidemiology

Year:  2014        PMID: 25278785      PMCID: PMC4179833          DOI: 10.2147/CLEP.S68889

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Spinal cord injury (SCI) is a traumatic event that results in disturbances to normal sensory, motor, or autonomic function and ultimately impacts a patient’s physical, psychological, and social well-being.1–3 The management of SCIs requires significant health care resources and can place a substantial financial burden on patients, their families, and the community.3 These costs are largely due to a need for high-level acute care in the short term and associated secondary complications that occur in the long term.4 To improve injury management, it is necessary to quantify the incidence and prevalence of SCI to better understand rates of occurrence and delineate ways of prevention. Furthermore, this knowledge enables health care providers to estimate both the cost and psychosocial burden of this disease and the resources required for its management. The economic impact of SCI on health care providers and on the system has become an increasingly important topic. According to Krueger et al, the estimated lifetime economic burden associated with SCI in Canada ranges from CAD$1.47 million for a person with incomplete paraplegia to $3.03 million for one with complete tetraplegia.4 These estimates include complications in the early surgical phase, such as wound infections and displaced instrumentation; emergency readmissions; and long-term complications, including pressure ulcers, bladder and bowel dysfunction, neuropathic pain, and respiratory problems. Annually, the estimated economic burden associated with SCI in Canada is $2.67 billion ($1.57 billion in direct costs and $1.10 billion in indirect costs) and includes costs associated with hospitalizations ($0.17 billion, or 6.5% of total costs), health care provider visits ($0.18 billion, or 6.7%), equipment and home modifications ($0.31 billion, or 11.6%) and attendant care ($0.87 billion, or 32.7%).4 Three previous reviews were conducted to compare incidence and prevalence of SCIs in different countries and to outline causation of injuries in various geographies and economies.5–7 In 2011, Cripps et al reported the global prevalence of SCI to be between 236 and 1,009 per million, a figure similar to that estimated by Blumer and Quine in 1995 (110–1,120 per million).5,7 Although several studies have attempted to quantify worldwide prevalence and incidences, several issues have prevented an accurate estimate. First, there is no standardized method of assessment across regions; second, the estimates for some countries have been extrapolated from numbers obtained in either urban or rural areas and therefore may not be entirely representative; third, a large proportion of global prevalence data is from developed nations such as Spain and the United States of America, with limited information from developing continents including Africa, South America, and Asia; and finally, given that there is such a high mortality rate at the scene of the accident and during patient retrieval and transport, many studies have underestimated figures. This study aims to summarize the literature discussing incidence and prevalence of SCI and provide an up-to-date review of its epidemiology. This knowledge is necessary to quantify the rate of occurrence, track the efficacy of preventative measures, and provide estimates of the burden of SCI on the patient and the system.

Methods

A systematic search was conducted using PubMed, MEDLINE, MEDLINE in process, EMBASE, Cochrane Controlled Trial Register, and Cochrane Database of Systematic Reviews to identify relevant literature published through June 2013. Only studies on humans and those written in English were considered for this review. The keywords used for the search were SCI, causation, epidemiology, incidence, and prevalence. Case reports, meeting abstracts, and editorials were excluded. All abstracts and titles were reviewed independently by two of the authors and were sorted based on predefined inclusion criteria. We sought studies that provided regional, provincial/state, or national data on the incidence of SCI or reported estimates of disease prevalence. The bibliographies of included articles were also systematically screened. From the prevalence studies, the following information was extracted: definition of acute SCI, how prevalence was calculated or estimated, and reported figures. From the included incidence articles, the following data were collected: definition of acute SCI, methodology of data collection, reported incidence, male:female ratio, age of peak incidence, causation, and level of injury. The level of evidence of each study was evaluated using a scale developed for this review using guidelines from the Agency for Healthcare Research and Quality. This scale consisted of ten questions related to study design, sampling methodology, sampling bias, precision, and reliability of estimates. Further, two questions discussed whether the studies adequately defined SCI and whether patients who died at the site of injury were included in the incidence figure. The rating scale addresses all methodological components of epidemiology studies and was specifically developed to target SCI incidence and prevalence literature. Table 1 displays the rating scale as well as interpretations for each of the ten questions. Based on rating distributions, a study was classified as high if it scored ≥8 (two or fewer minor flaws), as medium if it scored between 5 and 7, and low if it scored <5 points. The Table S1 provides a detailed overview of how each article was rated, and Tables 2 and 3 summarize whether each article was high, medium, or low-level evidence.
Table 1

Quality rating scale for incidence and prevalence studies

Checklist item originalComments/interpretations
1. Was the primary objective of the study to estimate the incidence or prevalence of SCI?Minor flaw if target population was not well defined.
2. What was the study design? a. Cross-sectional b. Retrospective c. ProspectiveMinor flaw if study design was retrospective.
3. How was SCI defined? a. ICD codes b. Standard clinical definitionMinor flaw if definition was vague or did not include all relevant ICD codes.Minor flaw if definition of SCI was not provided.
4. Sampling methodology a. Sampling subjects from the general population b. Nongeneral population sampling methods c. Nongeneral population-based sampling frameMinor flaws if random sampling was restricted to a specific geographic area (a).Minor flaws if sampling methods were “convenient” or self-reported (b).Minor flaws if sampling was based on medical records, insurance claims, workplace, or health care-based (c).
5. Is there sampling bias? If so, was it addressed in the analysis?Minor flaw if there was sampling bias.Minor flaw if sampling bias was not reduced in analysis.
6. How was SCI identified or confirmed in population of interest? a. Self-reported b. Proxy-reported c. Objectively measured with diagnostic methods d. I nterviews e. Obtained during clinical exam for the purpose of the study f. Obtained from medical records or administrative databases g. Obtained from registriesMinor flaws if self-reported or if data was mined from medical records or administrative databases.
7. Were patients who died at the site of injury included?Minor flaw if incidence figures did not include these patients.
8. How was the incidence/prevalence reported?Minor flaw if point prevalence was reported.
9. Is the precision of the estimate reported?Minor flaw if mean and variance of incidence or prevalence estimates were not reported (95% confidence intervals or standard error).
10. Are the estimates reliable?Minor flaw if reliability was not reported or if its evaluation was subjective.

Abbreviations: ICD, International Classification of Diseases; SCI, spinal cord injury.

Table 2

Prevalence studies

Region/state/countryDefinition of acute SCIPrevalence calculationPrevalence
United States of America (1988–1989)9MediumNot definedMixed-model sampling design was used to survey both noninstitutionalized and institutionalized populations.Noninstitutionalized: area segments were selected with primary sampling units.Institutionalized: nursing and long-term care health facilities within primary sampling units were sampled.721 per million
United States of America8MediumNot definedCalculated by multiplying annual incidence with life duration.906 per million
Olmsted County, Minnesota (1935–1981)15MediumDefinition coined by Kraus et al27Injuries extending from the foramen magnum to the cauda equina and complete nerve root avulsions were includedAll Olmsted county residents with residual neurologic deficits from SCI. Includes patients who had their injuries prior to 1935 as well as those who moved to the county after injury.Point prevalence: 220 per million in 1950 and 583 per million in 1981
Helsinki, Finland (1953–1998)12MediumICD-9 codes 806, 952, and 9072A until 1995; ICD-10 codes S14.0-2, S24.0-2, S34.0-3, and T91.3 after 1995Subjects were identified from the following sources: Kapyla Rehabilitation center, Department of Orthopedic Surgery at Helsinki University Central Hospital, local organization of the disabled, local health centers, residential service houses and published announcements.280 per million
Rhone-Alpes Region, France (1970–1975)14 LowNot definedCalculated by multiplying incidence by average life duration (Henry Gabrielle Hospital).250 per million
Iceland (1975–2009)11MediumICD-9 codes 806 and 952, and ICD-10 codes S14, S24, and S34 since 1997.Patients with isolated injuries of the nerve roots and patients with symptoms lasting for <2 weeks were excludedPrevalence was based on survival data on SCI patients included in study as well as 10 patients injured between 1973 and 1974.526 per million
Western Norway (1952–2001)13MediumClinical definition*Number of patients with SCI/100,000 inhabitants living in Hordaland and Sogn og Fjordane counties on January 1, 2002.365 per million
Tehran, Iran (2007–2008)16MediumNot definedTwo-stage survey strategy: detect all potential cases in study population and then confirm that patients had SCI.Calculated by dividing the number of definite alive SCI cases by the total number of the study population.Point prevalence: 440 per million
Australia (1986–1997)10MediumNot definedCalculated by multiplying current incidence by disease duration (Australian Spinal Cord Injury Register).681 per million

Notes: For ICD-9/10 codes, see Table S2.

Acute, traumatic lesion of the spinal cord resulting in motor and/or sensory deficit and/or bowel/bladder dysfunction, either temporary or permanent.

Abbreviations: ICD, International Classification of Disease; SCI, spinal cord injury.

Table 3

Incidence studies

AuthorLocationDefinition of acute spinal cord injuryData extraction
States and provinces of the United States or Canada
Pickett et al (2003)20HighOntario, CanadaICD-9 codes N-806 or N-952Ontario Trauma Registry
McCammon and Ethans (2011)21LowManitoba, CanadaSurvival to hospital admission with SCI/NTSCI or outpatient referral to a SCI rehabilitation specialistWinnipeg Rehabilitation Hospital and the Manitoba branch of the Canadian Paraplegic Association
Dryden et al (2003)19MediumAlberta, CanadaICD-9 codes 806.x or 952.x Clinical definition*Alberta Health and Wellness databases, Alberta Trauma Registry, Office of the Chief Medical Examiner
Lenehan et al (2012)18MediumBritish Columbia, CanadaICD-9 codes 806.x and 952.xVancouver General Hospital Provincial resources such as the British Columbia Trauma Registry
Price et al (1994)22MediumOklahoma, USAClinical definition*Multilevel surveillance system: physicians and hospitals reported acute injury, rehabilitation centers reported postacute injury, and State Medical Examiner reported fatal injury; SCI surveillance systems in Texas and Colorado reported Oklahoma residents injured in those states
Surkin et al (2000)25MediumMississippi, USAICD-9 codes 806.0-9 and 952.0-9 Additionally, 805.0-9 were used to identify potential cases Clinical definition*The Mississippi SCI surveillance system
Thurman et al (1994)24MediumUtah, USAICD-9 codes 806.0-9 and 952.0-9 Clinical definition*Statewide reporting system of the Utah Department of Health, Bureau of Epidemiology (discharge data from all acute care hospitals, list of patients with SCI from rehabilitation units and death certificates)
Warren et al (1995)23MediumAlaska, USAICD-9 codes 806.0-9 and 952.0-953.99 Clinical definition*Alaska Trauma Registry, National Center for Health Statistics, US Centers for Disease Control and Prevention
Kraus et al (1975)27MediumCalifornia, USAAcute, traumatic lesion of the spinal cord, including trauma to the nerve roots, resulting in varying degrees of motor/sensory deficit or paralysisAll hospitals and coroner’s offices in each county and from the records of the State of California Departments of Health, Rehabilitation, and Industrial Relations
Fine et al (1979–1980)26LowAlabama, USANot definedModel Regional SCI Center at the University of Alabama
Regions
Pickett et al (2006)37MediumLondon, CanadaICD-9 codes 952.x and 806.xLondon Health Sciences Center
Burke et al (2001)32MediumCounties in Kentucky and Indiana, USAICD-9 codes 806.0-9 and 952.0-9University of Louisville Hospital SCI Trauma Registry and patient records
Griffin et al (1985)15MediumOlmsted County, MinnesotaDefinition coined by Kraus et al27Injuries extending from the foramen magnum to the cauda equina and complete nerve root avulsions were includedMedical records-linkage system of the Rochester Project at the Mayo Clinic Death certificates and autopsy protocols
Minaire et al (1978–1979)14LowRhone-Alpes region, FranceNot definedHenry Gabrielle Hospital
Divanoglou and Levi (2009)36HighThessaloniki, Greece and Stockholm, SwedenAcute traumatic injury of the spinal cord, including cauda equina and conus medullaris injuries, resulting in motor/sensory deficits and/or bladder/bowel dysfunction persisting for at least 72 hours post-traumaThessaloniki: four tertiary hospitals handling acute SCI Stockholm: one hospital-based spinal injury unit, two inpatient rehabilitation centers, and one outpatient clinic for life-long follow-up
Hagen et al (2010)13MediumHordaland and Sogn og Fjordane, NorwayClinical definition*Eight hospitals within the two counties; data collection was carried out according to a subset of the Nordic SCI registry
Martins et al (1998)29MediumCentral region of PortugalICD-9 codes 806 and 952 Clinical definition*Coimbra Hospital Center and Coimbra University Hospitals; Department of Legal Medicine to identify deaths resulting from trauma
Van den Berg et al (2011)33MediumAragon, SpainICD-9 codes 806.0-9 and 952.0-9 Clinical definition*SCI unit of Servet Hospital; hospital archives and central database in other units
Karamehmetoğlu (1997)28LowSoutheast, TurkeyNot definedRecords obtained from emergency services, ICUs, and departments of orthopedic surgery, neurosurgery, and rehabilitation medicine
Rahimi-Movaghar et al (2009)16MediumTehran, IranNot definedPrimarily a prevalence study (not applicable)
Silberstein and Rabinovich (1995)35LowNovosibirsk, RussiaNot definedDepartment of Spinal Cord Injuries at the Research Institute of Traumatology
Chen et al (1985)34MediumTaipei, TaiwanICD-9 codes 806.0-9 and 968.0-9General Hospitals in the city of Taipei
Lan et al (1993)31MediumHualien County TaiwanDefinition coined by Kraus et al (1975) ICD-9 codes 806.0-9 and 968.0-9Buddhist Tz’u-Chi General, Provincial Hualien Hospital, Mennonite Christian General Hospital, 805 Military Hospital
Countries
Bracken et al (1981)38MediumUSAICDA-8 codes 344, 805, 806, and 958National Center for Health Statistics-Hospital Discharge Survey
Biering-Sørensen et al (1990)39LowDenmarkSpinal cord or cauda equina lesionsRehabilitation hospital in Hornbaek and special rehabilitation hospital in Hald Ege
Sabre et al (2012)40MediumEstoniaICD-10 codes: G82, S12.0-S12.2, S12.7, S13.0, S13.2, S13.4, S14.0-1, S22.0, S23.0-1, S24.0-1, S32.0, S33.0-1, S34.0-1, S34.3, T06.0-1, T09.3, T91.1, T91.3Northern Estonia Medical Centre and Tartu University Hospital; all Estonian rehabilitation, center, and general hospitals
Ahoniemi et al (2008)41MediumFinlandICD-9 codes 806, 952, and 9072A in 1995; ICD-10 in 1996, and S14-S34 afterKäpylä Rehabilitation Center
Albert et al (2005)42MediumFranceNew traumatic spinal cord lesion, paraplegia or tetraplegia, flaccid or spastic, traumatic cauda equina syndromeRehabilitation units, from both public and private sectors
Pedersen et al (1989)43LowGreenlandNot definedRehabilitation center for SCI in Hornbaek: admitted after injury or transferred from the Neurosurgical Department, Rigshopitalet (University Hospital in Copenhagen)
Knútsdóttir et al (2012)11MediumIcelandICD-9 codes 806 and 952 until 1997 and ICD-10 codes S14, S24, and S34 after 1997; patients with isolated injuries of nerve roots and those diagnosed with a symptom duration <2 weeks were excludedLandspitali University Hospital in Iceland
O’Connor and Murray (2006)44MediumIrelandNot definedNational Rehabilitation Hospital
Van Asbeck et al (2000)45MediumThe NetherlandsICD-9 codes 806 or 952National Registration for Disease
Gjone et al (1978–1979)46LowNorwayTraumatic paraplegia and tetraplegiaQuestionnaire sent out to 62 Norwegian hospitals
Soopramanien (1994)47LowRomaniaNot definedDr Gh Marinescu Hospital in Bucharest
Garcia-Reneses et al (1991)56LowSpainNot definedQuestionnaires were sent to 13 hospitals
Pérez et al (2012)48MediumSpainICD-9 codes 806 and 952National Hospital Discharge Register (Conjunto Minimo Basico de Datos)
Gehrig et al (1960–1967)49LowSwitzerlandAcute paraplegia and tetraplegiaA letter was written to all hospitals in Switzerland
Karacan et al (2000)50MediumTurkeyNot definedStudy charts as questionnaires were sent to medical institutes nationwide; records of SCI were obtained from ICUs, emergency services, and orthopedic, neurosurgery, and rehabilitation departments
Sabre et al (2012)30MediumWestern Norway and EstoniaICD-10 codes suggesting SCI or fracture of spinal columnMedical records from 8 Norwegian and 22 Estonian Hospitals
Otom (1997)51MediumJordanDefinition coined by Kraus et al (1975)Royal Jordanian Rehabilitation Centre and King Hussein Medical Centre
Shingu et al (1994)52LowJapanICD-9 codes 806.0-9 and 952.0-9 Nerve root or plexus injuries were excludedQuestionnaire were sent to nationwide orthopedic and neurosurgery departments, rehabilitation units, and emergency medical service centers
O’Connor (2002)53MediumAustraliaClinical definition*Australian SCI Register
Maharaj (1996)55LowFiji IslandsSpinal cord paralysis as defined by ASIAMedical Rehabilitation Unit at Tamavua Hospital
Dixon (1993)54MediumNew ZealandICD-9 codes: 806, 952 and 907.2, 342, 344, 805, 839, and 953Health Statistics Services files of New Zealand

Notes: For ICD-8/9/10 codes, Table S2.

Acute, traumatic lesion of the spinal cord resulting in motor and/or sensory deficit and/or bowel/bladder dysfunction, either temporary or permanent.

Abbreviations: ASIA, American Spinal Injury Association score; ICU, intensive care unit; ICD, International Classification of Disease; NTSCI, nontraumatic SCI; SCI, spinal cord injury.

The bulk of this literature reported the incidence, prevalence, and primary causes of SCI as well as interesting demographic trends in this patient population. We did not exclude studies based on class of evidence, but rather included all relevant articles in an attempt to provide the most detailed review on the incidence and prevalence of SCI around the globe.

Results

The initial search yielded 5,874 citations. Forty-three studies met all inclusion criteria and discussed either the incidence or prevalence of SCI at a regional, state/provincial, or national level. An additional five studies were identified after systematically searching the bibliographies of included articles. Of these 48, 43 estimated the incidence of SCI and nine reported the prevalence, with five discussing both. Figure 1 displays the detailed search strategy and review process.
Figure 1

Detailed search and review strategy.

Abbreviation: SCI, spinal cord injury.

Prevalence

Prevalence is the proportion of a population living with a disease at a particular time. In our review, nine studies reported the prevalence of acute SCI. Of these, four provided national rates and five estimated prevalence in city centers or counties.8–16 Various methodologies were used to achieve the closest approximation, including to 1) survey a portion of the population considered representative and, through interview, determine potential cases of SCI; 2) use the equation Prevalence = ID, where I is the annual incidence and D is the duration of disease; and 3) review available registers at rehabilitation centers, long-term care centers, and surgical departments. Table 2 displays how each study defined acute SCI and calculated prevalence. The prevalence of SCI in the United States of America has been estimated by three studies. In 1975, John Kurtzke reported a prevalence of 525 per million by multiplying the incidence of 30 per million by an average life duration of 18 years.17 Since the age of peak incidence is typically between 15 and 30 years of age, patients with a disease duration of 18 years would only live to be between 33 and 48 years. Using life expectancy tables, DeVivo et al first re-estimated the average postinjury life span of a patient as 30.2 years and calculated prevalence as 906 per million.8 Finally, Harvey et al proposed a mixed-mode sampling method to identify SCI cases in both a noninstitutionalized and institutionalized setting.9 First, 120 representative primary sampling units were chosen and area segments within these locations were selected. Households were then surveyed to identify people living with SCI and to learn about cases within the neighborhood or family. Second, a sample of nursing and long-term health care facilities from the primary sampling units were chosen and screened for potential cases. The total prevalence was estimated to be 721 per million. Other countries that have quantified prevalence at a national level are Australia and Iceland.10,11 O’Connor used current incidence and survival data from the Australian Spinal Cord Injury Register and estimated a prevalence of 681 per million in 1997.10 In Iceland, the crude prevalence was 526 per million in 2009.11 In Europe, prevalence has been estimated in Helsinki, Finland, Western Norway, and the Rhone-Alpes region in France.12–14 Patients with SCI living in Helsinki were identified using several sources: a list of in- or outpatients from the Kapyla Rehabilitation Center; ICD-9 or ICD-10 codes from the department of Orthopedic Surgery at Helsinki University Central Hospital; the membership of the local organization for the disabled; local health centers; residential service houses; and published announcements.12 With this information, the prevalence of SCI was reported to be 280 per million. In Western Norway, Hagen et al reviewed the records from eight hospitals within two Norwegian counties, Hordaland and Sogn og Fjordane.13 As of January 2002, the crude prevalence in this region was 365 per million, with rates of 351 per million and 419 per million in Hordaland and Sogn og Fjordane County, respectively. Finally, in the Rhone-Alpes region, the prevalence was extrapolated from the incidence using an average duration of life of 20 years and was 250 per million.14 The true prevalence of Olmsted County, Minnesota was calculated by counting all SCI patients with residual neurological deficits living in this region in 1950, 1960, 1970, and 1980.15 This estimation also includes patients who moved to the county after sustaining an injury elsewhere. The point prevalence increased over time from 220.1 per million in 1950, 242.7 per million in 1960, and 456.7 per million in 1970 to 582.5 per million in 1980. In Tehran, Iran, a two-stage survey strategy was used to evaluate the point prevalence of SCI.16 The study population was determined using random cluster sampling: 100 addresses were used as the starting point and 25 households around the same region were surveyed. If a potential case of SCI was detected, a nurse would go to the house and conduct a thorough examination to confirm the presence of a SCI. Point prevalence was defined as the number of alive SCI patients divided by the total number of the study population. It was 440 per million.

Incidence

The incidence of a disease is the number of new cases in a population at risk in a given time period. In this review, 44 studies reported on the incidence of SCI: 13 at a regional level, ten at a state or provincial level, and 21 at a national level. Figure 2 is a map of the world and highlights relative incidences. Figure 3 illustrates the incidence in countries, states/provinces, and regions of North America. Figure 4 displays the incidence in countries and regions of Asia Pacific (East Asia and Australia). Figure 5 presents the incidence in countries and regions of Europe and the Middle East. The majority of studies reported crude incidence, and therefore comparisons between countries, states/provinces, and regions could not be made.
Figure 2

Relative annual incidences of countries, states/provinces, and regions.

Notes: The red color scheme illustrates incidences of countries. The blue color scheme highlights incidences of states/provinces and regions.

Abbreviation: mil, million.

Figure 3

Annual incidence of spinal cord injury in regions within the United States of America and Canada, including provinces and states.

Abbreviations: NW, Northwest; S, Southern.

Figure 4

Annual incidence of spinal cord injury in regions and countries in Asia Pacific.

Figure 5

Annual incidence of spinal cord injury in regions and countries in Europe and the Middle East.

Provincial/state

Ten studies assessed the incidence of SCI in North American states and provinces, including British Columbia, Alberta, Manitoba, and Ontario in Canada and Oklahoma, Mississippi, Utah, Alaska, Alabama, and California in the United States.18–27 Table 3 displays how each study defined acute SCI and the resources or systems used to estimate incidence. In 1975, Kraus et al defined SCI as an acute, traumatic lesion of the spinal cord, including trauma to the nerve roots, resulting in varying degrees of motor and/or sensory deficit or paralysis.27 Five studies used a slightly modified definition proposed by the Center for Disease Control and Prevention: an acute, traumatic lesion of neural elements in the spinal canal (spinal cord or cauda equina) resulting in motor and/or sensory deficit or bowel/bladder dysfunction, either temporary or permanent.19,22–25 In addition to the clinical definition, the majority of studies used ICD-9 codes to identify cases of acute SCI.18–20,23–25 Specifically, codes 806 (fracture of vertebral column with spinal cord lesion), 952 (spinal cord lesion without evidence of spinal bone injury), and 805 (fracture of the vertebral column without mention of spinal cord lesion) were deemed relevant. A detailed list of ICD codes is provided in Table S2. In Canada, various resources were used to identify cases of SCI and to quantify an annual incidence. In Ontario, the Ontario Trauma Registry contains records for all acute care injury hospitalizations in the province and was searched for relevant diagnostic codes.20 Similarly, Alberta has a trauma registry that provides detailed information on patient demographics, severity of injury, and causation.19 Two additional sources were used in Alberta: 1) the Health and Wellness database, which contains records of all hospitals and medical services in the province, and 2) the Office of the Chief Medical examiner, which investigates all unexplained deaths. To estimate incidence in British Columbia, only registers at the Vancouver General Hospital were reviewed, as this center represents the sole subspecialty SCI center in the province.18 Finally, in Manitoba, data from the Canadian Paraplegic Association and the Winnipeg Rehabilitation center were used to identify cases.21 Many studies in the United States used extensive surveillance systems to accurately identify all cases of SCI. For example, in Oklahoma and Utah, information was obtained from acute care centers, rehabilitation units and either the state medical examiner or death certificates.22,24 In addition, SCI surveillance systems in Texas and Colorado were used to detect Oklahoma residents who were injured in neighboring locations.22 Kraus et al also used several resources including all hospitals and coroners in 18 Californian counties to identify all admitted SCI patients as well as those who died at the scene of the accident or during transfer.27 In contrast, the study by Warren et al used the Alaska Trauma Registry and the National Center for Health Statistics to determine national rates.23 Table 4 displays the annual incidence of SCI per million, the male-to-female ratio, age of peak incidence, causation, and level of injury in Canada and the United States of America. Incidences across provinces cannot be compared, as the data were collected at varying time points; however, exploring relative changes is valuable. In Alberta and Ontario, the incidence of SCI has decreased over time.19,20 In Ontario, the age-standardized incidence was 46.2 per million in 1994/1995 (95% confidence interval [CI]: 42.1–50.3) and was 37.2 per million in 1998/1999 (95% CI: 33.8–41.0).20 Over a 3-year period, the estimated incidence in Alberta decreased from 57 per million in 1997–1998 to 47.9 per million in 1999–2000.19 In British Columbia, there was a downward trend from 42.2 per million in 1995 to 32.5 per million in 2004, although the lowest rate was 27.9 per million in 1999.18 In contrast, the incidence progressively increased in Manitoba from 17.1 per million per year between 1981 and 1985 to 25.6 per million per year between 2003 and 2007.21 The five studies conducted in the United States did not present a summary of incidence over time. Within 5 years, the incidence of Oklahoma, Alaska, Utah, and Mississippi were estimated.22–25 Alaska and Mississippi had much higher reported incidences of 83 per million and 77 per million, respectively, compared to incidence in Oklahoma (40 per million) and Utah (43 per million).
Table 4

Incidence and causation of spinal cord injury in provinces and states of Canada and the United States of America

Annual incidence (per million)Male:female ratioPeak age (years)CauseLevel of injury
British Columbia (1995–2004)1827.9–43.44.4:1Males: 15–24 (∼140/million)Females: 85+ (∼105/million)Traffic: 51.4%Falls: 28.5%Sports: 17.9%Violence: 1.5%Cervical: 49.7%Thoracic: 27.4%Lumbar/sacral: 22.9%
Alberta (1997–2000)1952.52.5:1Males: 20–29 (138/million)Females: 15–19 (65.3/million)Traffic: 56.4%Falls: 19.1%Sports: 11.3%Struck by object/person: 5.3%Intentional: 4.4%Other: 3.3%Cervical: 61.5%Thoracic: 17.3%Lumbar: 15.8%Sacral/cauda equina: 1.3%Unspecified: 4.0%
Manitoba1981–1985 (I)1998–2002 (II)2003–2007 (III)21I: 17.1II: 19.5III: 25.6I: 12:1II: 3.3:1III: 4.4:1Overall: 16–24Traffic: 48.7%–52.6%Falls: 17.2%–30.8%Sports: 3.8%–16.1%Violence: 4.0%–5.3%Work: 4.3%–6.6%Farming: 0%–5.9%Suicide: 0%–1.9%Other: 0%–4.3%Cervical: 45.0%–51.3%Thoracic: 33.0%–34.9%Lumbar: 12.5%–21.6%Sacral: 0%–1.3%
Ontario (1994–1999)371994/95: 46.21998/99: 37.21.5–3.5:1 depending on age groupMales: 70+ (∼120/million)Females: 70+ (∼80/million)Falls: 43.2%Traffic: 42.8%Struck by object/person: 6.5%Homicide/suicide: 3.6%Other: 3.9%Not specified
Alabama (1973–)2629.44:1Overall: 15–29 (66.7/million)Traffic: 42.3%Violence: 21.2%Water sports: 7.0%Other: 29.5%Cervical: 47.5%Thoracic: 44.9%Lumbar: 7%Sacral: 0.6%
Alaska (1991–1993)23835:1Males: 25–34 (240/million)Females: 15–24 (54/million)Traffic: 62.6%Falls: 21.6%Sports: 7.2%Firearms: 1.4%Other: 7.2%Cervical: 43.9%Other: 67.6%
California (1970–1971)2753.4Not specifiedMales: 20–24Females: 25–29Traffic: 56%Falls: 19%Firearms: 12%Sports: 7%Other: 6%Not specified
Mississippi (1992–1994)25774:1Males: 20–24 (258.3/million)Females: 20–24 (50.1/million)Traffic: 58.2%Violence: 15.6%Falls: 12.9%Sports: 3.5%Falling object: 3.5%Other: 6.1%Not specified
Oklahoma (1988–1990)22404:1Males: 20–24 (144/million)Females: 15–19 (50/million)Traffic: 50%Falls: 20%Sports: 13%Violence: 11%Falling object: 4%Other: 2%Not specified
Utah (1989–1991)24433.2:1Males: 15–24 (30.5%)Females: 15–24 (30.2%)Traffic: 49.3%Falls: 21.1%Sports: 15.7%Firearms: 5.4%Other: 8.5%Not specified
All studies showed a greater percentage of males with injuries compared to females. In Manitoba, however, the male-to-female ratio significantly decreased from the 1980s (12:1) to the 2000s (4.4:1) due to an increase in motor-vehicle-related injuries in females.21 The ratio in Alaska was 5:1, which was larger than any other state or province.23 As expected, the age of peak incidence was typically between 15 and 30 years of age. The age of peak incidence, however, was over 70 years of age for both males and females in Ontario and over 85 years of age for females in British Columbia.18,20 In Alberta, Oklahoma, and Alaska, the peak age of females was slightly younger than that of males.19,22,23 With respect to the etiology of SCI, studies used different definitions of traffic accidents, falls, violence, and sports. For example, motor vehicle accidents in British Columbia included all passengers, drivers, pedestrians, and cyclists injured during the accident.18 On the other hand, in Ontario, a traffic incident was divided into motor vehicle (occupant, motorcyclist, pedestrian, and pedal cyclist), nonmotorized vehicle (pedal cyclist, rider of animal and pedestrian), and air, space, and water transport.20 With a view to standardizing etiological definitions, we combined various causations into single categories: 1) all car, plane, motorcycle, and other transport accidents, including pedestrians and cyclists involved in collision, were defined as “traffic”; stabbing, gunshots, and assault were categorized as “violence”; all sport and recreation injuries, including diving, were considered “sports”; and intentional falls or self-inflicted injury were defined as “suicide.” Traffic accidents (42.3%–62.6%) were the primary cause of SCI in all province and states, with the exception of Ontario, where falls were more prevalent. Falls, from either elevation or at ground level, were typically the second most common etiology. In Alabama and Mississippi, however, injuries due to violence made up a larger percentage (21.2% and 15.6%, respectively) than injuries due to falls.25,26 Only 1.5 to 5.3% of injuries in Canadian provinces were due to violence, a percentage significantly lower than in American states.18,21,22,25,26 Injuries due to sports and recreation, including diving, were the highest in British Columbia (17.9%) and Utah (15.7%) and the lowest in Mississippi (3.5%).18,24,25 Suicide-related SCIs were not reported everywhere, making it difficult to draw conclusions on differences in rates. The most common anatomical region of injury was the cervical spine (43.9%–61.5%).

Regions

Nine studies reported on the incidence of various regions or counties, including Southeast Turkey; the central region of Portugal; Western Norway (n=2); the Rhone-Alpes region in France; Aragon, Spain; Hualien County, Taiwan; Northwest Kentucky and Southern Indiana; and Olmsted county in Minnesota.13–15,28–32 An additional five studies estimated the incidence of SCI in cities: Tehran, Iran; Taipei, Taiwan; Novosibirsk, Russia; London, Canada; Stockholm, Sweden; and Thessaloniki, Greece.16,33–37 Table 3 illustrates how each study defined SCI and the sources used to obtain estimates of incidence. Studies by Griffin et al and Lan et al used the definition coined by Kraus et al27 and included patients with trauma to the nerve roots.15,31 Many other studies used the modified definition presented earlier and excluded patients with nerve root avulsions.13,29,33 In the study on Stockholm and Thessaloniki, SCI was defined as an acute traumatic injury of the spinal cord, including cauda equina and conus medullaris injuries, resulting in motor/sensory deficits and/or bladder/bowel dysfunction persisting for at least 72 hours post-trauma.36 This 72-hour requirement was not specified in previous definitions and likely excludes all patients who died at the scene of the accident or during transfer to an acute care center. The majority of studies also used ICD-9 codes to identify patients diagnosed with SCI: 806 and 952 as well as 968 (spinal cord lesion without evidence of spine injury) in Taiwanese regions or cities.29,31–34,37 The majority of studies used information from acute care centers and regional general hospitals to identify patients. This methodology was deemed adequate as many cities or regions only have a few centers that are responsible for managing patients with SCI. For example, the University of Louisville Hospital services people located within a 50-mile radius, including 18 counties in Kentucky and eleven counties in Indiana.32 In the study by Burke et al,32 incidence was calculated using information from the hospital’s trauma registry and the US Census Bureau population estimates. Similarly, in the central region of Portugal, all acute SCIs are treated at the Coimbra hospitals; data extraction from these hospitals should therefore provide an accurate estimate of incidence.29 In addition, the department of Legal Medicine was accessed to identify patients who died from traumatic causes. In the Rhone-Alpes region and Western Norway, patients who had died prior to hospital arrival were not included.13,14 Although not specified, this was probably the case in many of the other studies included in this review. Table 5 displays the annual incidence of SCI per million, the male-to-female ratio, age at peak incidence, causation, and level of injury for these regions. Again, these studies were conducted in different years and over varying lengths of time, making it challenging to compare estimates. The incidence of SCI significantly increased over time in Hordaland and Sogn og Fjordane County in Western Norway (6.2 per million in 1952–1956 to 26.3 per million in 1997–2001), Olmsted County in Minnesota (22.2 per million in 1935–1944 to 70.8 per million in 1975–1981), and in London, Ontario (21 per million in 1997 to 49 per million in 2000).13,15,37 There has also been a progressive increase in the number of SCI cases in the central region of Portugal, from 68 new cases in 1989 to 106 in 1992, likely reflecting an increase in incidence.29 In Aragon, Spain, following an increase from 8.2 per million in 1972–1980 to 13.8 per million in 1981–1990, the incidence was relatively stable over the next 18 years.33 In the Rhone-Alpes region in France, there was no upward or downward trend in the number of SCI cases between 1970 and 1975, although an actual incidence was not given for each of these 6 years.14
Table 5

Incidence and causation of spinal cord injury in cities and regions

Annual incidence (per million population)Male:female ratioPeak ageCausationLevel of injury
London, Ontario, Canada (1997–2000)20∼49 in 20003:1Overall: 20–29 (20%)Traffic: 47%Falls: 31%Sports: 9.3%Work: 6.6%Violence: 4.6%Suicide: 1.3%Cervical: 75%Thoracic: 10%Lumbar: 9%Junctions: 6%
Central Portugal region (1989–1992)29583.4:1Males: 70–74 (285/million)Females: 80–84 (64/million)Traffic: 57.3%Falls: 37.4%Other: 5.3%Cervical: 51.2%Thoracic: 41%Lumbar: 7.8%
Hualien county, Taiwan (1986–1990)3156.14:1Overall: 20–29 and 30–39 (19.2% each group)Traffic: 61.6%Falls: 23.3%Sports: 6.1%Struck by object: 4%Violence: 3%Suicide: 2%Not specified
Taipei, Taiwan (1978–1981)3414.64.9:1Overall: 20–29 (31.8%)Traffic: 44.5%Falls: 28.5%Struck by object: 14.6%Sports: 3.4%Violence: 2.7%Suicide: 1.4%Other: 5.6%Cervical: 46.8%Thoracic orbelow: 53.2%
Novosibirsk, Russia (1989–1993)3529.73.6:1Overall: 20–29 (38.3%)Falls: 37.3%Sports: 32.9%Traffic: 25.1%Suicide: 3.1%Violence: 1.6%Cervical: 49.0%Thoracic: 27.5%Lumbar: 23.5%
Rhone-Alpes Region, France (1970–1975)1412.73.7:1Overall: 20–30Traffic: 47.2%Falls: 24.25%Sports: 7.8%Struck by object: 7.5%Suicide: 4.3%Violence: 0.8%Other: 8.1%Only specified by causation
Northwestern Kentucky and Southern Indiana (1993–1998)3225.23:1Overall: 18–24 (78.3/million)Traffic: 54.7%Falls: 23.0%Violence: 14.2%Other: 8.1%Cervical: 49.7%Thoracic: 35.3%Lumbar: 15.0%
Olmstead County, Minnesota (1935–1981)1554.82.6:1Not givenNot givenNot given
Aragon, Spain (1972–2008)3312.13.9:1Males: 20–29 (36.1/million)Females: 20–29 (6.7/million)Traffic: 57.0%Falls: 24.6%Violence: 3.9%Sports: 1.9%Cervical: 36.9%Thoracic: 37.4%Lumbar: 19.3%Sacral: 4.3%
Southeast, Turkey (1994)2816.95.8:1Overall: 40–49 (52.6/million)Falls/traffic/violence: 93.2%Struck by object: 5.2%Suicide: 1.3%Not reported
Thessaloniki, Greece (2006)3633.67:1Overall: 16–30 (41%)Traffic: 51%Falls: 37%Sports: 4%Iatrogenic: 4%Violence: 2%Other: 2%Cervical: 48%Thoracic: 40%Lumbar/sacral: 12%
Stockholm, Sweden (2006)3619.53:1Overall: 61–75 (28%)Falls: 47%Traffic: 23%Sports: 17%Iatrogenic: 4%Violence: 2%Other: 6%Cervical: 43%Thoracic: 45%Lumbar/sacral: 11%
Western Norway (1997–2001)1326.33.4:1Males: 70–79 (∼130/million)Females: 20–29 (∼117/million)Falls: 45.1%Traffic: 40.8%Sports: 9.9%Other: 4.2%Cervical: 57.8%Thoracic: 21.1%Lumbar: 21.1%
Western Norway (1952–2001)306.2 (1952–1956)26.3 (1997–2001)4.7:1Males: 20–29Females: 70–79Falls: 45.5%Traffic: 34.2%Sports: 8.6%Other: 11.6%Cervical: 52.4%Thoracic: 29.5%Lumbar/sacral: 18.2%
Tehran, Iran (2007–2008)1644Not specifiedNot specifiedNot specifiedNot specified
Within similar time periods, the incidence of SCI in the central region of Portugal (58 per million) was similar to that in Hualien County, Taiwan (56.1 per million).29,31 Ten years earlier, the incidence of SCI in Taipei, Taiwan (14.6 per million) was significantly lower.31,34 Some possible explanations for this higher incidence in Hualien County are 1) motorcycles are the major transportation vehicle; 2) the Hualien region is a mountainous area with large mining and quarrying industries, resulting in an increased frequency of falls; and 3) alcoholism is much more common in rural regions of Taiwan than in urban city centers.31 The incidence of SCI in Taipei was similar to that in the Rhone-Alpes region of France (12.7 per million), Aragon, Spain (12.1 per million), and Southeast Turkey (16.9 per million).14,28,33,34 In a study by Divanoglou et al, the incidence of SCI was compared between Stockholm, Sweden and Thessaloniki, Greece.36 The annual crude incidence was 33.6 per million in Thessaloniki and was significantly higher than the incidence in Stockholm, Sweden (19.5 per million). The major difference between the two cities is that individuals from Thessaloniki were more frequently involved in transportation accidents, suggesting a need for improved road safety in Greece. In all studies, there was a greater percentage of males with SCI than females. Eighty-eight percent of patients in Thessaloniki, Greece were male, representing the largest male:female ratio (7:1).36 The smallest ratio was 2.6:1 in Olmsted County, Minnesota.15 As expected, the age of peak incidence was typically between 15–30 years of age or over 70 years for both sexes. An exception to this was Southeast Turkey, where the peak incidence occurred in the 40–49 age group.28 With respect to the etiology of injury, traffic accidents were the primary cause of SCI in all regions (44.5%–61.6%), except for Novosibirsk, Russia (25.1%), Stockholm, Sweden (23%), and Western Norway (34.2%–40.8%), where falls were more prevalent. Falls, either from elevation or ground level, were typically the second most common cause of SCI. In Novosibirsk, Russia and Stockholm, Sweden, 32.9% and 17% of injuries were due to sports and recreation, respectively.35,36 The percentages of sports injuries in Taipei (3.4%), Aragon, Spain (1.9%) and Thessaloniki, Greece (4%) were significantly lower.33,34,36 Fourteen percent of injuries were due to violence in the Northwestern Kentucky and Southern Indiana region, a percentage much higher than in all other regions (0.8%–4.6%).32 Finally, the number of injuries due to suicide attempts was typically very low.28,31,34,35,37 The region with the highest percentage of injuries due to suicide attempts was the Rhone-Alpes region (4.3%).14 Injuries to the cervical spine were the most frequent in all regions and cities. In Stockholm, Sweden and Aragon, Spain, however, there was a greater number of thoracic injuries compared to cervical spine injuries.33,36

Countries

Twenty-one studies discussed the incidence of SCI at a national level, including in 13 European countries (Denmark, Estonia [n=2], Finland, France, Greenland, Iceland, Ireland, the Netherlands, Norway, Romania, Spain [n=2], Switzerland and Turkey), four Asia Pacific countries (Japan, New Zea-land, Australia, Fiji), Jordan, and the United States of America.11,30,38–56 Figure 6 is a map of injury causation.57
Figure 6

Causation of spinal cord injury in various countries.

Notes: A global map illustrating the causation of SCI between regions. The y-axis of the bar graphs indicates the percentage of contribution, while the x-axis categorizes the reported etiologies from highest to lowest from left to right (except for other causes, which is represented on the far right). Sports included diving. Violence included both gunshot and stab wounds resulting in SCI. Accidents represent all nontraffic accidents, including falling weight and crushing accidents.

Abbreviations: MVA, motor vehicle accidents; SCI, spinal cord injury.

Table 3 displays how each study defined SCI and the sources used to estimate incidence. The majority used diagnostic codes.11,30,38,40,41,45,48,52,54 In addition to ICD-9 806 and 952 codes, a study based in New Zealand used ICD-9 codes 907 (late effects of SCI), 342 (hemiplegia), 344 (other paralytic syndromes), 805, 839 (other, multiple, and ill-defined dislocations), and 953 (injury to nerve roots and spinal plexus), and a study from Iceland used ICD-9 code 907 to detect other or incorrectly coded SCI cases.11,54 In the study by Ahoniemi et al, ICD-9 codes were used in 1995, ICD-10 codes in 1996, and S14-S34 after 1996.41 In Estonia, SCI was detected using an extensive list of ICD-10 codes.40 In the United States, the national incidence of SCI was estimated using data from the National Center for Health Statistics – Hospital Discharge Survey, which contains discharge records from selected nationwide hospitals.38 Many other studies identified SCI patients using records from several hospitals, rehabilitation units, orthopedic and neurosurgery departments, and emergency medical services. In contrast, some studies used information from a small list of hospitals or rehabilitation centers, as in some countries there are only a few facilities responsible for managing acute injuries. For example, in Ireland, data from the National Rehabilitation Hospital was used to determine incidence, as it receives all transfers from the main neurosurgery and ortho-pedic centers in Dublin and Cork.44 Interestingly, patients in Greenland requiring specialized SCI treatment are referred to the Rigshospitalet in Denmark and transferred to Hornbaek following surgery. Similarly, all patients injured in Denmark are admitted to either Hornbaek or Hald Ege rehabilitation institutions, depending on whether they live in East or West Denmark.39 Therefore, data from the Hornbaek center has been used to estimate incidence of SCI in both Denmark and Greenland. Table 6 displays the annual incidence of SCI per million, the male-to-female ratio, peak age, causation, and level of injury for these countries. There was an upward trend in the incidence of SCI in the United States from 29.1 per million in 1970 to 42.8 per million in 1977, with a peak incidence of 47.6 per million in 1977.38 In New Zealand and Switzerland, there was also a steady increase in the incidence or number of cases (43.3 per million in 1979–1988 to 49 per million in 1988; 56 cases in 1960 to 81 in 1966, respectively).49,54 In Fiji, the incidence tripled from 5.6 per million in 1986 to 17.9 per million in 1991.55 In contrast, in Spain, there was a reduction in age-standardized incidence between 2000 and 2009.48 However, in comparison to numbers estimated in the 1980s, there was a drastic increase from 8.0 per million in 1984–1985 to 23.5 per million between 2000 and 2009.56 In Romania, the number of cases with SCI was relatively stable between 1981 and 1990 (233–270 new cases) but dropped significantly to 105 in 1991.47 There was no significant change in estimates in Finland over three decades or in Iceland between 1980 and 1994.11,41 In Iceland between 2005 and 2009, however, the incidence significantly increased to 33.5 per million from 21 per million in 2000–2004.11
Table 6

Incidence and causation of spinal cord injury in countries

Annual incidence (per million)Male:female ratioPeak ageCausationLevel of injury
United States of America (1970–1977)3840.12.25:1Overall: 15–24 (68.0/million)Not specifiedNot specified
Denmark (1975–1984)399.23.3:1Overall: 15–24 (40%)Traffic: 47%Falls: 26%Sports: 12%Suicide: 8%Struck by object: 3%Crushing accident: 2%Violence: 2%Other: 1%Cervical: 51%Thoracic: 28%Lumbar: 21%
Estonia (1997–2001)3035.46:1Males: 50–59 (∼32/million)Females: 30–39 (∼15/million)Falls: 36.5%Traffic: 30.3%Sports: 13.9%Other: 19.3%Cervical: 60.5%Thoracic: 18.9%Lumbar: 20.6%
Estonia (1997–2007)4039.75.5:1Males: 20–29 (133.9/million)Females: 30–39 (18.3/million)Falls: 41.0%Traffic: 29.4%Cervical: 59.4%Thoracic: 18.3%Lumbar/sacral: 22.3%
Finland (1976–2005)4113.84.5–5.1:1Males: 16–34Females: 16–34Falls: 41.2%Traffic: 39.5%Diving: 6.6%Violence: 2.7%Other: 10.0%Not specified
France (2000)4219.4Not specifiedNot specifiedNot specifiedNot specified
Greenland (1965–1986)43262.86:1Not specifiedFalls: 33.3%Suicide: 26%Accidental shot: 15%Violence: 11%Struck by object: 7.4%Sports: 3.7%Traffic: 3.7%Not specified
Iceland (1975–2009)1122.62.6:1Overall: ≤30 (43%)Traffic: 42.5%Falls: 30.9%Sports: 19%Other: 8%Cervical: 57%Thoracic/lumbar: 43%
Ireland (2000)4413.16.7:1Overall: 20–29Traffic: 50%Falls: 35%Sports: 9%Suicide: 2%Work-related: 2%Iatrogenic: 2%Cervical: 50%Thoracic: 41%Lumbar: 9%
The Netherlands (1994)4512.13.3:1Overall: 21–30 (24.8%)Falls: 48.7%Traffic: 31.0%Sports: 8.9%Occupational: 4.4%Other: 3.5%Unknown: 3.5%Not specified
Norway (1974–1975)4616.54.9:1Overall: 20–40 (39%)Not specifiedCervical: 53%Thoracic: 26%Lumbar: 12%Conus/cauda equina: 9%
Romania (1975–1993)4728.53.35:1Overall: 51–60 (21.4%)Falls: 59%Traffic: 16%Falling weight: 10%Sports: 7%Other: 8%Cervical: 57.2%Thoracic: 29.3%Lumbar: 13.0%Sacral: 0.4%
Spain (1984–1985)568.0Not specified for traumatic cases aloneNot specified for traumatic cases aloneTraffic: 52%Falls: 27.5%Stroke: 6%Surgical: 4%Sports: 3%Projectile: 3%Others: 4.5%Not specified for traumatic cases alone
Spain (2000–2009)4823.5Not specifiedNot specifiedTraffic: 35.5%Not specified
Switzerland (1960–1967)49∼15∼5:1Overall: 20–29 (29%)Traffic: 36%Work: 35%Suicide: 9.67%Sports: 9.67%Other: 9.67%Not specified
Turkey (1992)5012.72.5:1Overall: 20–29 (23/million)Traffic: 48.8%Falls: 36.5%Violence: 5.2%Sports: 1.2%Cervical: 31.7%Thoracic: 26.6%Lumbar: 28.1%
Jordan (1988–1993)51185.8:1Overall: 21–30 (35.8%)Traffic: 44.4%Violence: 27.8%Falls: 21.2%Struck by object: 3.3%Sports: 2.6%Suicide: 0.7%Cervical: 31.8%Thoracic/lumbar: 68.2%
Japan (1990)5239.44.3:1Overall: 50–59 (21.2%)Traffic: 44.6%Falls: 41%Struck by object: 6.0%Sports: 5.3%Suicide: 1.7%Other: 1.4%Cervical: 74.3%Thoracic or below: 25.5%Unknown: 0.2%
Australia (1998–1999)5314.53.2:1Males: 15–24 (∼38/million)Females: 15–24 (∼16/million)Traffic: 43%Falls: 31%Sports: 5%Cervical: 57.7%Thoracic: 24.9%Lumbar: 16.6%Sacral: 0.75%
New Zealand (1979–1988)5449.1Not specifiedOverall: 15–29 (104/million in 1988); 96.7/million in 1979–1988Traffic: 54%Falls: 24%Sports: 11%Machinery: 3%Exertion: 3%Struck by object: 2%Violence: 2%Other: 2%Cervical: 52.3%Thoracic: 25.2%Lumbar: 21.8%Sacral: 0.66%
Fiji (1985–1994)5510.06.7:1Males: 16–30Females: 16–30Falls: 38.7%Sports: 32%Traffic: 25.3%Other: 4%Not specified for traumatic cases alone
The countries with the highest reported incidences were the United States (40.1 per million), Estonia (35.4 per million and 39.7 per million), Japan (39.4 per million), and New Zealand (49.1 per million).30,38,40,52,54 In Japan, there is an increased prevalence of ossification of the posterior longitudinal ligament (OPLL) in the elderly and congenital stenosis.52 The population is therefore at an increased risk of sustaining a SCI following a traumatic accident. In Estonia, it is speculated that the rates are higher because there is less regulation and enforcement of road safety rules, higher alcohol consumption, and a flatter landscape, enabling vehicles to drive at more dangerous speeds.30 In the United States of America, these higher figures are likely due to increased violence, aggressive driving, or riding without seat belts and poor road conditions.38 Dixon et al acknowledged that New Zealand has a higher incidence of SCI than many other countries, but also hypothesized that this may be as a result of the methodology used to calculate rates.54 The incidence of SCI in New Zealand was much higher than in Australia (14.5 per million) and Fiji (10 per million).53–55 The highest incidence of SCI in Europe was in Estonia, followed by Romania (28.5 per million), Spain (23.5 per million), and France (19.4 per million).42,47,48 The lowest rate in Europe was in Denmark (9.2 per million), followed by the Netherlands, (12.1 per million), Turkey (12.7 per million), Ireland (13.1 per million), Switzerland (∼15 per million), Finland (13.8 per million), and Norway (16.5 per million).39,41,44–46,49,50 Iceland and Greenland had similar estimates of 22.6 per million and 26 per million, respectively.11 In all countries, there was a greater percentage of males with SCI than females. The male:female ratio, however, varied significantly across countries, with the highest ratios in Fiji (6.7:1), Ireland (6.7:1), Estonia (5.5:1, 6:1) and Jordan (5.8:1) and the lowest in Iceland (2.6:1), Turkey (2.5:1), and the United States (2.25:1).11,30,38,40,44,50,51,55 In all countries, the age of peak incidence was 15–30, with the exception of Romania (51–60 years), Japan (50–59 years), and females in Estonia (30–39 years), where more injuries were seen in the elderly and were due to falls.30,40,47,52 In general, traffic accidents were the primary cause of SCI in studied countries (36%–59%). In Estonia, Finland, Greenland, Fiji, the Netherlands, and Romania, however, falls were responsible for the greatest percentage of SCI. In other countries, falls were typically the second most common etiology. In Greenland, 26% of injuries were due to suicide, a percentage significantly greater than other countries.43 Twenty-eight percent and 11% of SCIs were due to violence in Jordan and Greenland, respectively.43,51 In Romania, a shockingly high 10% of injuries were caused by a falling weight.47 Injuries related to sports were the most common in Fiji (32%) and Iceland (19%).11,55

Discussion

SCI affects a patient’s physical, social, and psychological well-being and places a substantial burden on health care systems, families, and communities. An understanding of the prevalence and incidence of SCI enables health care systems to implement preventative strategies and allocate resources appropriately for disease management. In addition, by observing trends in SCI incidence over time, such as the decrease seen in Spain or the increase in the United States, systems can gather feedback as to what preventative measures have worked. Based on this review, we have identified nine studies that have reported on the prevalence and 44 studies that have discussed the incidence of acute SCI. The prevalence of SCI was the highest in the United States of America (906 per million) and the lowest in the Rhone-Alpes region, France (250 per million) and Helsinki, Finland (280 per million). With respect to states and provinces, the incidence of SCI was the highest in Alaska (83 per million) and Mississippi (77 per million) and the lowest in Alabama (29.4 per million), despite a large percentage of violence injuries (21.2%). Incidences were above 50 per million in Hualien County in Taiwan (56.1 per million), the central Portugal region (58 per million), and Olmsted County in Minnesota (54.8 per million) and were lower than 20 per million in Taipei, Taiwan (14.6 per million), the Rhone-Alpes region in France (12.7 per million), Aragon, Spain (12.1 per million), Southeast Turkey (16.9 per million), and Stockholm, Sweden (19.5 per million). The highest national incidence was 49.1 per million in New Zealand, and the lowest incidence was in Fiji (10.0 per million) and Spain (1984–1985: 8.0 per million). The majority of studies showed a high male-to-female ratio and an age of peak incidence of younger than 30 years old. Traffic accidents were typically the most common cause of SCI, followed by falls in the elderly population. As the population ages, it is important to observe trends in the age of peak incidence, as this may change. Currently, in most regions and countries, a larger percentage of SCI patients are under the age of 30. One of the exceptions to this trend was in Japan, where the majority of the patients sustaining SCIs were over the age of 50 years.52 This is primarily due to early spinal degenerative changes, specifically OPLL, as well as an increased prevalence of congenital stenosis, causing a higher risk of SCI following a traumatic event.58 Degeneration of various components of the vertebra is common in the elderly population and may lead to narrowing of the spinal canal.59 In turn, these degenerative changes place people at a greater risk of suffering SCI following a fall or another traumatic event.58 Therefore, with the aging of the population, acute care systems may be confronted with an increased number of elderly patients with SCI and should plan and allocate resources accordingly.59 The rates of SCIs vary across countries, regions, and cities. This could be a reflection of actual differences in incidence or a result of differences in case ascertainment. For example, some studies have used information from death certificates, coroners, or the department of legal medicine to include SCI victims who have died at the scene of the accident or during transport to acute care centers. Other studies have excluded these patients from their estimates. In addition, identification of patients with acute SCI was done in different ways across studies. Some used ICD-9 or ICD-10 codes to detect relevant patients, whereas others used a simple clinical definition, surveys, or questionnaires. In order to make comparisons between countries or to accurately estimate global incidence, methodologies of data collection must be standardized. It is also challenging to compare differences in SCI causation across countries due to a lack of standard definitions. For example, some studies have defined motor vehicle accidents as any collision involving a motorized vehicle, including hitting a pedestrian or cyclist, whereas other studies have separated accidents involving pedestrians into a separate category. Another example is sport injuries: some studies have combined diving and other sporting activities into a single category, while others have divided these two into separate categories. In this review, we have attempted to standardize these definitions in order to make comparisons. This review summarizes what is currently known in the literature on the incidence and prevalence of SCI. Detailed overview how each study was rated Description of the ICD codes
Table S1

Detailed overview how each study was rated

Author12345678910Total score
Incidence Studies
States and provinces of the United States and Canada
 Pickett et al1XX8
 McCammon and Ethans2XXXXXXX3
 Dryden et al3XXX7
 Lenehan et al4XXX7
 Price et al5XXXX6
 Surkin et al6XXX7
 Thurman et al7XXXX6
 Warren et al8XXX7
 Kraus et al9XXXX6
 Fine et al10XXXXXXXXX1
Regions
 Pickett et al11XXXX6
 Burke et al12XXXXX5
 Griffin et al13XXXX6
 Minaire et al14XXXXXXXX2
 Divanoglou and Levi15X9
 Hagen et al16XXXX6
 Martins et al17XXXX6
 Van den Berg et al18XXXXX5
 Karamehmetoglu19XXXXXXX3
 Rahimi-Movaghar et al20XXX7
 Silberstein and Rabinovich21XXXXXXXX2
 Chen et al22XXXXX5
 Lan et al23XXXXX5
Countries
 Bracken et al24XXXX6
 Biering-Sorensen et al25XXXXXXX3
 Sabre et al26XXXX6
 Ahoniemi et al27XXXXX5
 Albert et al28XXXX6
 Pedersen et al29XXXXXXX3
 Knuttsdottir et al30XXXXX5
 O’Connor and Murray31XXXX6
 Van Asbeck et al32XXX7
 Gjone et al33XXXXXX4
 Soopramanien34XXXXXXXX2
 Garcia-Reneses et al35XXXXXXXX2
 Perez et al36XXXX6
 Gehrig et al37XXXXXX4
 Karacan et al38XXXXX5
 Sabre et al39XXXX6
 Otom40XXXXX5
 Shingu et al41XXXXXX4
 O’Connor42XXX7
 Maharaj43XXXXXXX3
 Dixon44XXXXX5
Prevalence Studies
 DeVivo et al45XXXNAX6
 Harvey et al46XXNAXX6
 O’Connor et al47XXNAX7
 Knútsdóttir et al30XXXNAX6
 Dahlberg et al48XXXXNA6
 Hagen et al16XXXNA7
 Minaire et al14XXXXXXNAX3
 Griffin et al13XXXNAXX5
 Rahimi-Movaghar et al20XXNAXX6
Table S2

Description of the ICD codes

ICD codesDescription
ICD-8
 344Other cerebral paralysis
 805Fracture and fracture dislocation of vertebral column without mention of spinal cord lesion
 806Fracture of vertebral column with spinal cord injury
 958Spinal cord lesion without evidence of spinal bone injury
ICD-9
 805Fracture of the vertebral column without mention of spinal cord injury
 806Fracture of vertebral column with spinal cord injury
 907.2Late effects of spinal cord injury
 952Spinal cord injury without evidence of spinal bone injury
 953Injury to nerve roots and spinal plexus
 968Spinal cord lesion without evidence of spine injury
ICD-10
 G82Paraplegia and tetraplegia
 S12.0Fracture of first cervical vertebrae
 S12.1Fracture of second cervical vertebrae
 S12.2Fracture of other cervical vertebrae
 S12.7Multiple fractures of cervical spine
 S13.0Traumatic rupture of cervical intervertebral disc
 S13.2Dislocation of other and unspecified parts of neck
 S13.4Sprain and strain of cervical spine
 S14.0Concussion and edema of cervical spinal cord
 S14.1Other unspecified injuries of cervical spinal cord
 S22.0Fracture of thoracic vertebrae
 S23.0Traumatic rupture of thoracic intervertebral disc
 S23.1Dislocation of thoracic vertebrae
 S24.0Concussion and edema of thoracic spinal cord
 S24.1Other and unspecified injuries of thoracic spinal cord
 S32.0Fracture of lumbar vertebrae
 S33.0Traumatic vertebrae of lumbar intervertebral disc
 S33.1Dislocation of lumbar vertebrae
 S34.0Concussions and edema of lumbar spinal cord
 S34.1Other injury of lumbar spinal cord
 S34.3Injury of cauda equina
 T06.0Injury of brain and cranial nerves with injuries of nerves and spinal cord at neck level
 T06.1Injuries of nerves and spinal cord involving other multiple body regions
 T09.3Injury of spinal cord, level unspecified
 T91.1Sequelae of injuries, of poisoning and of other consequences of external causes– Sequelae of injuries of neck and trunk – Sequelae of fracture of spine
 T91.3Sequelae of injuries, of poisoning and of other consequences of external causes– Sequelae of injuries of neck and trunk – Sequelae of injury of spinal cord
  58 in total

1.  Epidemiology of spinal cord lesions in Denmark.

Authors:  E Biering-Sørensen; V Pedersen; S Clausen
Journal:  Paraplegia       Date:  1990-02

2.  Incidence rates and populations at risk for spinal cord injury: A regional study.

Authors:  D A Burke; R D Linden; Y P Zhang; A C Maiste; C B Shields
Journal:  Spinal Cord       Date:  2001-05       Impact factor: 2.772

3.  Statistics of acute paraplegia and tetraplegia on a national scale. Switzerland 1960-67.

Authors:  R Gehrig; L S Michaelis
Journal:  Paraplegia       Date:  1968-08

4.  Epidemiology of spinal cord paralysis in Fiji: 1985-1994.

Authors:  J C Maharaj
Journal:  Spinal Cord       Date:  1996-09       Impact factor: 2.772

5.  Incidence of acute traumatic hospitalized spinal cord injury in the United States, 1970-1977.

Authors:  M B Bracken; D H Freeman; K Hellenbrand
Journal:  Am J Epidemiol       Date:  1981-06       Impact factor: 4.897

6.  Incidence of traumatic spinal cord injury in Aragón, Spain (1972-2008).

Authors:  Maayken Van Den Berg; Juan Manuel Castellote; Ignacio Mahillo-Fernandez; Jesús de Pedro-Cuesta
Journal:  J Neurotrauma       Date:  2011-03       Impact factor: 5.269

7.  Prevalence of spinal cord injury in Helsinki.

Authors:  A Dahlberg; M Kotila; P Leppänen; H Kautiainen; H Alaranta
Journal:  Spinal Cord       Date:  2005-01       Impact factor: 2.772

8.  An epidemiological description of spinal cord injuries in The Netherlands in 1994.

Authors:  F W van Asbeck; M W Post; R F Pangalila
Journal:  Spinal Cord       Date:  2000-07       Impact factor: 2.772

9.  Epidemiology of traumatic spinal cord injury and acute hospitalization and rehabilitation charges for spinal cord injuries in Oklahoma, 1988-1990.

Authors:  C Price; S Makintubee; W Herndon; G R Istre
Journal:  Am J Epidemiol       Date:  1994-01-01       Impact factor: 4.897

10.  Incidence of traumatic spinal cord injuries in Finland over a 30-year period.

Authors:  E Ahoniemi; H Alaranta; E-M Hokkinen; K Valtonen; H Kautiainen
Journal:  Spinal Cord       Date:  2008-06-10       Impact factor: 2.772

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  270 in total

Review 1.  Global neurotrauma research challenges and opportunities.

Authors:  Andrés M Rubiano; Nancy Carney; Randall Chesnut; Juan Carlos Puyana
Journal:  Nature       Date:  2015-11-19       Impact factor: 49.962

Review 2.  Taking a bite out of spinal cord injury: do dental stem cells have the teeth for it?

Authors:  John Bianco; Pauline De Berdt; Ronald Deumens; Anne des Rieux
Journal:  Cell Mol Life Sci       Date:  2016-01-14       Impact factor: 9.261

Review 3.  The challenge of recruitment for neurotherapeutic clinical trials in spinal cord injury.

Authors:  Andrew R Blight; Jane Hsieh; Armin Curt; James W Fawcett; James D Guest; Naomi Kleitman; Shekar N Kurpad; Brian K Kwon; Daniel P Lammertse; Norbert Weidner; John D Steeves
Journal:  Spinal Cord       Date:  2019-04-08       Impact factor: 2.772

4.  Traumatic spinal cord injury in West Virginia: Disparities by insurance and discharge disposition from an acute care hospital.

Authors:  Cara L Sedney; Uzer Khan; Patricia Dekeseredy
Journal:  J Spinal Cord Med       Date:  2018-12-03       Impact factor: 1.985

5.  Sleep Complaints and Sleep Quality in Spinal Cord Injury: A Web-Based Survey.

Authors:  Shirin Shafazand; Kim D Anderson; Mark S Nash
Journal:  J Clin Sleep Med       Date:  2019-05-15       Impact factor: 4.062

Review 6.  Epidemiology and pathophysiology of neurogenic bladder after spinal cord injury.

Authors:  Rizwan Hamid; Marcio Augusto Averbeck; Humberto Chiang; Arturo Garcia; Riyad T Al Mousa; Seung-June Oh; Anita Patel; Mauricio Plata; Giulio Del Popolo
Journal:  World J Urol       Date:  2018-05-11       Impact factor: 4.226

7.  Study participation rate of patients with acute spinal cord injury early during rehabilitation.

Authors:  J Krebs; A Katrin Brust; S Tesini; M Guler; G Mueller; I M Velstra; A Frotzler
Journal:  Spinal Cord       Date:  2015-04-28       Impact factor: 2.772

8.  Prevalence of postpartum depression and anxiety among women with spinal cord injury.

Authors:  Amanda H X Lee; Betty Wen; Matthias Walter; Shea Hocaloski; Karen Hodge; Nora Sandholdt; Claes Hultling; Stacy Elliott; Andrei V Krassioukov
Journal:  J Spinal Cord Med       Date:  2019-09-24       Impact factor: 1.985

Review 9.  Anxiety prevalence following spinal cord injury: a meta-analysis.

Authors:  J Le; D Dorstyn
Journal:  Spinal Cord       Date:  2016-03-08       Impact factor: 2.772

10.  LncRNA H19 Regulates Lipopolysaccharide (LPS)-Induced Apoptosis and Inflammation of BV2 Microglia Cells Through Targeting miR-325-3p/NEUROD4 Axis.

Authors:  Enyi Gu; Weikun Pan; Kangyao Chen; Zhong Zheng; Guoling Chen; Pengde Cai
Journal:  J Mol Neurosci       Date:  2020-11-17       Impact factor: 3.444

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