Literature DB >> 27075669

Mortality with musculoskeletal disorders as underlying cause in Sweden 1997-2013: a time trend aggregate level study.

Aliasghar A Kiadaliri1,2,3, Martin Englund4,5.   

Abstract

BACKGROUND: The aim was to assess time trend of mortality with musculoskeletal disorders (MSD) as underlying cause of death in Sweden from 1997 to 2013.
METHODS: We obtained data on MSD as underlying cause of death across age and sex groups from the National Board of Health and Welfare's Cause of Death Register. Age-standardized mortality rates per million population for all MSD, its six major subgroups, and all other ICD-10 (International Classification of Disease) chapters were calculated. We computed the average annual percent change (AAPC) in the mortality rates across age/sex groups using joinpoint regression analysis by fitting a regression line to the natural logarithm of the age-standardized mortality rates and calendar year as a predictor.
RESULTS: There were a total of 7 976 deaths (0.5% of all causes deaths) with MSD as the underlying cause of death (32.5% of these deaths caused by rheumatoid arthritis [RA]). The overall age-standardized mortality rates (95% CI) were 16.0 (15.4 to 16.7) and 24.9 (24.1 to 25.7) per million among men and women, respectively (women/men rate ratio 1.55; 95%CI 1.47 to 1.63). On average, mortality rate declined by 2.3% per year and only circulatory system mortality had a more favourable decline than mortality with MSD as underlying cause. Among MSD the highest decline was observed in RA (3.7% per year) during study period. Across age groups, while there were generally stable or declining trends, spondylopathies and osteoporosis mortality among people ≥ 75 years increased by 2 and 1.5% per year, respectively.
CONCLUSION: In overall, mortality with MSD as underlying cause has declined in Sweden over last two decades, with the highest decline for RA. However, there are variations across MSD subgroups which warrants further investigations.

Entities:  

Keywords:  Mortality; Musculoskeletal disorders; Sweden; Temporal trend

Mesh:

Year:  2016        PMID: 27075669      PMCID: PMC4831100          DOI: 10.1186/s12891-016-1024-9

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


Background

Musculoskeletal disorders (MSD) cover a wide range of disorders affecting joints, bones, muscles and soft tissues and are considered as the most common cause of severe long term pain and physical disability [1]. MSD are highly prevalent worldwide, and in a steadily aging population with increased prevalence of obesity and reduced physical activity, the prevalence of many of MSD will increase in coming years [2]. Globally, 21.3 % of years lived with disability was attributed to MSD in 2010 (44.7 % increase from 1990) [3]. MSD were considered as the fourth (third in developed countries) greatest contributor in disability-adjusted life years (DALYs) in 2010 [4]. In spite of substantial burden of MSD on individuals and societies, there is a lack of adequate recognition at the level of policy-making or priority [5]. In response to this, the Bone and Joint Decade 2000–2010 was endorsed by the United Nations and the World Health Organization [6]. While less attention had been paid to mortality associated with MSD, a growing recognition of MSD-related mortality has been emerged in recent years [7-9]. Recent evidence suggests that MSD including rheumatoid arthritis (RA) and osteoarthritis (OA) are associated with excess all-cause and disease-specific mortality [10-15]. In the Global Burden of Disease Study, MSD were considered as underlying cause of 153 500 deaths worldwide in 2010 (about 0.3 % of all causes deaths) and age-standardized mortality rate increased from 17 per million in 1990 to 23 per million in 2010 (a 37.8 % increase) [16]. It should be noted that these numbers are underestimated because MDS are likely underreported on death certificates especially as underlying cause of death [5, 17]. Although, the accuracy of death certificates has been questioned [17-19], these are the main source of mortality data available for whole populations at often national level, and they are widely used in cause of death analyses. While a few studies have investigated time trend of a specific MSD such as RA [8, 20, 21] and systemic lupus erythematosus [22-24], updated information on mortality is needed, for instance due to the introduction of new biological drugs in the treatments of many inflammatory rheumatic diseases. Also, to our best knowledge, no previous study has investigated all mortality associated with MSD and its major subgroups in a single study using the same data source and uniform methodology. Thus, our aim was to provide an up-to-date data on the recent trend of mortality with MSD and its six subgroups as underlying cause in Sweden during 1997–2013. Such data not only provide tools to monitor progress towards national public health goals but also helps to evaluate interventions, to identify high risk population subgroups, and to make future projections.

Methods

Data sources

Data on population across sex and age groups were collected from the Statistics Sweden (http://www.scb.se). Data on mortality were obtained from the National Board of Health and Welfare's Cause of Death Register which includes all those who died during one calendar year and were registered in Sweden at the time of death, regardless of whether the death occurred inside or outside the country. The causes of death are coded centrally at the Statistics Sweden according to the International Classification of Diseases, the 10th revision (ICD-10). The Cause of Death Register contains a single underlying cause of death, up to 48 additional contributory causes of death, and demographic data. For this study we used publicly available data which includes only the underlying cause of death by sex, age, region, and year (http://www.socialstyrelsen.se/statistics/statisticaldatabase/causeofdeath). MSD were identified as ICD-10 codes M00-M99. In addition, six major subcategories of MSD with higher mortality rates were identified: pyogenic arthritis (M00), RA (M05-M06), OA (M15-M19), systemic connective tissue disorders (M30-M35), spondylopathies (M45-M48), and osteoporosis (M80-M81). To compare the trend in mortality with MSD as underlying cause with trend in mortality from other diseases over the study period, we also included fifteen other ICD-10 chapters (Table 3 in Appendix). Due to very low mortality over study period, the following ICD-10 chapters were excluded: Diseases of the eye and adnexa (H00-H59); Diseases of the ear and mastoid process (H60-H95); and Pregnancy, childbirth and the puerperium (O00-O99).

Statistical analysis

Age-standardized mortality rates per 1 million population were calculated by means of direct standardization using the WHO Reference Population [25]. These age-standardized rates were calculated across age and sex groups. We also computed women to men age-standardized rate ratio and its 95 % confidence interval [26]. The percent change was calculated as the difference between the average age-standardized rate of the last two years and the average rate of the first two years divided by the average rate the first two years. Time trends in age-standardized mortality rate were analyzed using joinpoint regression. This was done using the Joinpoint Regression Program version 4.2.0.2 from the Surveillance Research Program of the US National Cancer Institute (http://surveillance.cancer.gov/joinpoint). Joinpoint regression identifies points with a significant change in trend (“joinpoints”) and determined linear trends between joinpoints. In the software a series of permutation tests proposed by Kim et al. [27] is applied to compute the number of joinpoints to best fit the data. For each joinpoint an annual percentage change (APC) is estimated by fitting a regression line to the natural logarithm of the age-standardized rates, using calendar year as a predictor. The average annual percent change (AAPC) as the weighted average of APCs was computed to provide a summary measure of the trend for the whole time period [28]. We used the empirical quantile method with 1 000 resamples to calculate 95 % confidence interval of AAPC. Since the empirical quantile method is not available for comparison between groups, we used parametric method to compare AAPC of MSD mortality with other ICD-10 chapters. In trend analysis across age groups, due to low number of death in MSD subcategories, we smoothed the mortality rates using a four-year moving average. It has been suggested that several MSD should not be considered as underlying cause of death (defined as “garbage codes”, Table 4 in Appendix) [29]. In a sensitivity analysis, we calculated the AAPC excluding deaths attributed to these causes. It should be noted that across the MSD subcategories, excluding these “garbage codes” only influenced OA and spondylopathies. In addition, because all OA codes (M15-M19) are considered as “garbage codes”, we did our sensitivity analysis only on all MSD and spondylopathies.

Results

During 1997 to 2013, 2 411 men and 5 565 women had a MSD registered as their underlying cause of death in Sweden (0.3 and 0.7 % of all causes mortality among men and women, Table 5 in Appendix). In overall, among MSD, RA was the leading cause of death (32.5 % all deaths) followed by systemic connective tissue disorders (23.4 % of all deaths). Across age and sex groups, while RA was the leading cause of death for men and women aged 65 years and older, among younger people systemic connective tissue disorders were associated with the highest number of deaths (45.9 % of all death in this age group, Fig. 1).
Fig. 1

Percentage of death due to musculoskeletal disorders by sex, age and cause in Sweden, 1997–2013

Percentage of death due to musculoskeletal disorders by sex, age and cause in Sweden, 1997–2013 The overall age-standardized mortality rates (95 % CI) were 16.0 (15.4 to 16.7) and 24.9 (24.1 to 25.7) per million among men and women, respectively. This figures corresponded to a statistically significant women/men rate ratio (95 % CI) of 1.55 (1.47 to 1.63). Across MSD subcategories, while women had statistically significantly a higher age-standardized mortality rate for RA, systemic connective tissue disorders, and osteoporosis as underlying cause compared to men, opposite was observed for pyogenic arthritis and spondylopathies (Table 1).
Table 1

Overall age-standardized mortality rate of musculoskeletal disorders as underlying cause per million people in Sweden, 1997–2013

ICD title (codes)WomenMenWomen/men rate ratio
All musculoskeletal disorders (M00-M99)24.9 (24.1 to 25.7)16.0 (15.4 to 16.7)1.6 (1.5 to 1.6)
Pyogenic arthritis (M00)0.56 (0.46 to 0.67)0.94 (0.79 to 1.09)0.60 (0.47 to 0.76)
Rheumatoid arthritis (M05-M06)8.9 (8.5 to 9.4)3.4 (3.2 to 3.7)2.6 (2.4 to 2.9)
Osteoarthritis (M15-M19)0.94 (0.80 to 1.1)1.0 (0.88 to 1.2)0.90 (0.73 to 1.1)
Systemic connective tissue disorders (M30-M35)7.3 (6.8 to 7.7)4.2 (3.9 to 4.6)1.7 (1.6 to 1.9)
Spondylopathies (M45-M48)0.75 (0.64 to 0.87)1.4 (1.2 to 1.6)0.55 (0.45 to 0.67)
Osteoporosis (M80-M81)2.1 (1.9 to 2.2)0.45 (0.35 to 0.54)4.7 (3.7 to 5.9)
Overall age-standardized mortality rate of musculoskeletal disorders as underlying cause per million people in Sweden, 1997–2013 The age-standardized mortality rate of MSD as underlying cause for Swedish population declined from 24.7 per million in 1997 to 17.2 per million in 2013 (a percent change of −27.8 %, Fig. 2a). While women had higher mortality rates than men in all study years, the disparity was declining over time. Across age groups, while age-standardized rate substantially declined in 2013 compared to 1997 among younger age groups (the percent change of −42.2 and −45.0 % in 0–64 and 65–74 years groups, respectively), a smaller decline of 9.7 % was observed among oldest age group (from 365.3 per million in 1997 to 342.3 per million in 2013, Fig. 2b).
Fig. 2

Age-standardized mortality rate (95 % CI) of musculoskeletal disorders as underlying cause across sex and age groups in Sweden, 1997–2013

Age-standardized mortality rate (95 % CI) of musculoskeletal disorders as underlying cause across sex and age groups in Sweden, 1997–2013 On average, the age-standardized mortality rate declined by 2.3 % (95 % CI: 1.5 to 3.1) annually during the study period in Sweden (Fig. 3). Among MSD subcategories while there were statistically significant declining trend for RA, OA, systemic connective tissue disorders, and spondylopathies, the trends for pyogenic arthritis and osteoporosis were stable during 1997–2013. Among ICD-10 chapters, only diseases of the circulatory system (I00-I99) had a more profound reduction than MSD (Table 2). There was no statistically significant difference in AAPC of MSD and four other chapters (i.e., diseases of the respiratory system (J00-J99), diseases of the genitourinary system (N00-N99), certain conditions originating in the perinatal period (P00-P96), and congenital malformations, deformations and chromosomal abnormalities (Q00-Q99)).
Fig. 3

Average annual percent change of mortality with musculoskeletal disorders as underlying cause in Sweden obtained from joinpoint regression analysis 1997–2013

Table 2

Annual percent change and average annual percent change in age-standardized mortality rates for ICD-10 chapters, 1997–2013

ICD-10 chapter (codes)Age-standardized mortality rate per million peoplePeriodAPC, %AAPC, %Mean difference (95 % CI) in AAPC compared with MSD (M00-M99)
19972013
Certain infectious and parasitic diseases (A00-B99)45.285.31997–20134.25***4.25***6.54 (5.71 to 7.37)
Neoplasms (C00-D48)1270.71084.91997–2005−0.57***−0.92***1.34 (0.72 to 2.03)
2005–2010−1.73***
2010–2013−0.49
Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50-D89)10.011.31997–20130.610.612.90 (1.88 to 3.91)
Endocrine, nutritional and metabolic diseases (E00-E90)104.4102.61997–20050.97−0.152.15 (1.22 to 3.07)
2005–2013−1.24*
Mental and behavioural disorders (F00-F99)141.7184.41997–199911.541.673.97 (1.87 to 6.06)
1999–2010−0.61
2010–20133.89
Diseases of the nervous system (G00-G99)99.9159.61997–20133.39***3.39***5.69 (4.93 to 6.44)
Diseases of the circulatory system (I00-I99)2038.41202.01997–2002−2.83***−3.27***−0.98 (−1.76 to −0.20)
2002–2005−4.55**
2005–2013−3.07***
Diseases of the respiratory system (J00-J99)303.4227.91997–2010−2.71***−1.65**0.64 (−0.69 to 1.98)
2010–20133.06
Diseases of the digestive system (K00-K93)141.7120.31997–2006−0.01−1.30**0.99 (0.01 to 1.98)
2006–2013−2.92**
Diseases of the skin and subcutaneous tissue (L00-L99)7.06.31997–2013−0.53−0.531.76 (0.58 to 2.94)
Diseases of the musculoskeletal system and connective tissue (M00-M99)24.717.21997–2013−2.29***−2.29***-
Diseases of the genitourinary system (N00-N99)54.238.51997–2013−2.80***−2.80***−0.51 (−1.37 to 0.36)
Certain conditions originating in the perinatal period (P00-P96)23.121.91997–20035.40*−0.581.71 (−3.28 to 6.70)
2003–2006−14.93
2006–20131.09
Congenital malformations, deformations and chromosomal abnormalities (Q00-Q99)36.525.41997–2013−3.14***−3.14***−0.85 (−1.82 to 0.13)
Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)95.7123.21997–20071.090.853.14 (0.05 to 6.23)
2007–201013.79
2010–2013−11.30**
External causes of morbidity and mortality (V01-Y98)338.6309.31997-2013−0.78*−0.78*1.51 (0.71 to 2.31)

*** P< 0.001; ** P< 0.01; * P< 0.05

APC annual percent change, AAPC average annual percent change, MSD musculoskeletal disorders

Average annual percent change of mortality with musculoskeletal disorders as underlying cause in Sweden obtained from joinpoint regression analysis 1997–2013 Annual percent change and average annual percent change in age-standardized mortality rates for ICD-10 chapters, 1997–2013 *** P< 0.001; ** P< 0.01; * P< 0.05 APC annual percent change, AAPC average annual percent change, MSD musculoskeletal disorders Our subgroup analyses across age and sex groups revealed that among men and women the highest decline was observed in RA (3.2 % per year) and OA (4.9 % per year), respectively. While women experienced a statistically significant decline in mortality with systemic connective tissue disorders as underlying cause, this was relatively constant among men (AAPC = −2.0 %, P = 0.20). Across age groups, the oldest age group (75+ years) experienced less profound changes in mortality with MSD as underlying cause (Fig. 4). While people aged 0–64 experienced a statistically significant decline in mortality with pyogenic arthritis as underlying cause, the trend was constant among older people. On the other hand, the trend in mortality with OA as underlying cause was constant among people aged 0–64 years and declining among older age groups. In addition, while mortality with spondylopathies and osteoporosis as underlying cause were either declining or constant among younger age groups (i.e., 0–64, and 65–74 years), these have increased among the oldest age group during the study period. Of course, mortality rate of osteoporosis as underlying cause steadily declined by 1.2 % per year since 2001 but a sharp increase of 10.9 % per year during 1997–2001 resulted in an overall increasing trend for this subgroup.
Fig. 4

Average annual percent change of mortality with musculoskeletal disorders as underlying cause in Sweden obtained from joinpoint regression analysis, by age groups 1997–2013. Footnote: The mortality rates for subgroups of musculoskeletal disorders are four-year moving average rates

Average annual percent change of mortality with musculoskeletal disorders as underlying cause in Sweden obtained from joinpoint regression analysis, by age groups 1997–2013. Footnote: The mortality rates for subgroups of musculoskeletal disorders are four-year moving average rates A total of 1 543 (19.3 %) of deaths with MSD as underlying cause were attributed to garbage codes (25.7 and 16.6 % of deaths among men and women, respectively, Table 5 in Appendix). Excluding these potential garbage codes had negligible impact on AAPC of mortality with MSD as underlying cause among women and in total population (among women AAPC changed from −2.2 to −2.7 % and in total population from −2.3 to −2.1 %). However, excluding these garbage codes resulted in a statistically non-significant AAPC of −0.9 % (P = 0.21) among men. In addition, across age groups, the declining trend for mortality with MSD as underlying cause among people aged ≥ 75 years was no longer statistically significant (AAPC = −0.5 %, P = 0.45). For mortality with spondylopathies as underlying cause, the exclusion of garbage codes only influenced the trend for the total population and it became no longer statistically significant (AAPC = −0.3 %, P = 0.88).

Discussion

In the current study, we have presented an up-to-date data on recent trends in mortality with MSD and its six major subcategories as underlying cause in Sweden. Our results showed that MSD were recorded as underlying cause of death on 0.5 % of all death certificates during 1997–2013. We found evidence that mortality with MSD as underlying cause declined during the study period and its annual decline was generally more profound than for other disease categories. Although the age-standardized mortality rates of MSD as underlying cause declined in both men and women, our subgroup analyses revealed important variations in MSD subcategories across age and sex groups. In addition, while women had higher mortality rates compared with men, this gender disparity was declining over time. Comparing the recent (2007–2013) mortality with MSD as underlying cause in Sweden with Denmark (http://www.statbank.dk/), Australia (http://www.aihw.gov.au/deaths/grim-books/) and USA (http://wonder.cdc.gov/ucd-icd10.html) showed that while the proportion of MSD from all-cause mortality was similar across countries (0.5 % in Sweden, 0.6 % in USA, and 0.8 % in Denmark and Australia), Sweden had the lowest age-standardized mortality rate (pooled age-standardized mortality rate per million people: Sweden 21.1, USA 26.3, Denmark 32.9, and Australia 26.4). The differences in sociodemographic status, health care system, and mortality coding practices might be potential reasons for observed difference in mortality rates across these countries. We found that mortality with MSD its four subcategories (i.e. RA, OA, systemic connective tissue disorders, and spondylopathies) as underlying cause statistically significantly declined in Sweden over the study period. This finding is in line with declining trend in mortality from RA, systemic lupus erythematosus, ankylosing spondylitis and polyarteritis nodosa in France [8], Spain [24], and England [30]. Better management of MSD induced by advancement in pharmacological interventions and medical procedures might explain this observed declining trend. For example, a recent study showed that time to initiation disease modifying antirheumatic drug has substantially shortened over the past four decades among people with RA [31]. Nevertheless, analysis across age groups revealed an increase in mortality with spondylopathies and osteoporosis as underlying cause among the oldest (aged ≥ 75 years). This might be due to aging population which has increased number of older people. Moreover, promoted awareness of the severity of these conditions in recent years might have increased reporting them as a cause of death [32]. Further research is required to explain these increasing trends among the most elderly. The mortality rates of MSD and its three subcategories (i.e., RA, systemic connective tissue disorders, and osteoporosis) as underlying cause were higher among women compared to men and this is mainly attributed to higher prevalence of these disorders among women [33, 34]. Previous studies have suggested similar gender inequality for RA [8, 20, 21], dermatomyositis and polymyositis [35], and systemic lupus erythematosus [22, 24]. On the other hand, men had higher mortality rates of pyogenic arthritis and spondylopathies as underlying cause compared with women. The similar pattern for ankylosing spondylitis was observed in England [30]. This might be due to higher prevalence of these disorders among men and also difference in severity of disease. For example, previous studies reported a higher prevalence of ankylosing spondylitis, lumbar spondylosis, and cervical spondylosis among men [36-38] and a tendency to have more severe ankylosing spondylitis compared with women [39]. While, these gender gaps were generally closing over time, more efforts are required for further reduction. For example, if we naively assume that the projected trends in mortality with MSD as underlying cause will be observed during next 10 years, then AAPC for women should be doubled during this period (i.e., increase from −2.2 to −4.7 %) in order to close observed gender gap in our study. The limitations of the current study should also be considered when interpreting its findings. We only analyzed mortality due to underlying cause of death which suffers from underestimation for MSD as these are not usually considered as underlying cause of death [5]. Inaccuracy and errors in completion of death certificate are another potential limitation of our study, but is unlikely to have substantially changed over time [18]. The small number of deaths, especially for MSD subgroups, might have limited the power of our study to detect significant joinpoints during the study period. In addition, because our study was an ecological study with no individual-level data available, we were unable to adjust for any potential confounders in addition to age and sex. Also, we cannot further examine factors influencing the observed trend in mortality with MSD as underlying cause. In spite of these limitations, the current study have important implications including new insight about recent temporal trends in mortality with MSD as underlying cause of death which might be used to predict mortality rates in coming years in Sweden. The findings can be used to develop a hypothesis that increased use of biological treatments in e.g. RA has impacted on mortality associated with MSD. In addition, the observed increasing trends in mortality with spondylopathies and osteoporosis as underlying cause require further attention.

Conclusion

The mean age-standardized mortality rate with MSD as underlying cause was 21.1 per million people per year in Sweden during 1997–2013. The present study indicated that mortality with MSD as underlying cause declined by 2.3 % per year in Sweden and this reduction was generally more favourable than other ICD-10 chapters. However, we found variations in time trends for MSD subcategories across sex and age groups. Our findings revealed that older people (aged ≥ 75 years) observed an increasing trend in mortality with spondylopathies and osteoporosis as underlying cause which warrants further investigations. Moreover, while mortality rates of MSD and its three subcategories (RA, systemic connective tissue disorders, and osteoporosis) as underlying cause were higher among women, more Swedish men died from pyogenic arthritis and spondylopathies during the study period. Analyzing time trend in MSD mortality using multiple cause of death framework and using individual-level data are subjects for future studies.

Availability of supporting data

All relevant raw data are freely available from the Swedish Cause of Death Register (http://www.socialstyrelsen.se/statistics/statisticaldatabase/causeofdeath).

Ethics approval and consent to participate

Not applicable (publicly available data were used).
Table 3

The ICD-10 chapters included in the study for comparison

ICD-10 titleICD codes
Certain infectious and parasitic diseasesA00-B99
NeoplasmsC00-D48
Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanismD50-D89
Endocrine, nutritional and metabolic diseasesE00-E90
Mental and behavioural disordersF00-F99
Diseases of the nervous systemG00-G99
Diseases of the circulatory systemI00-I99
Diseases of the respiratory systemJ00-J99
Diseases of the digestive systemK00-K93
Diseases of the skin and subcutaneous tissueL00-L99
Diseases of the genitourinary systemN00-N99
Certain conditions originating in the perinatal periodP00-P96
Congenital malformations, deformations and chromosomal abnormalitiesQ00-Q99
Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classifiedR00-R99
External causes of morbidity and mortalityV01-Y98
Table 4

Musculoskeletal disorders considered as garbage codes and excluded in a sensitivity analysis

ICD-10 titleICD codesTotal number of deaths 1997-2013
MenWomen
Postinfective and reactive arthropathies in diseases classified elsewhereM0300
Psoriatic and enteropathic arthropathiesM0700
Juvenile arthritis in diseases classified elsewhereM0900
GoutM101928
Other crystal arthropathiesM1123
Other specific arthropathiesM1200
Arthropathies in other diseases classified elsewhereM1400
OsteoarthritisM15-M19165227
Other joint disordersM20-M2593145
Kyphosis and lordosisM401452
SpondylosisM4795
Other spondylopathiesM4881154
Spondylopathies in diseases classified elsewhereM4900
Cervical disc disordersM5056
Other intervertebral disc disordersM51106
Other dorsopathies, not elsewhere classifiedM5345
DorsalgiaM541523
MyositisM604527
Disorders of muscle in diseases classified elsewhereM6300
Disorders of synovium and tendonM65-M6814
Soft tissue disorders related to use, overuse and pressureM70117
Other bursopathiesM7192
Soft tissue disorders in diseases classified elsewhereM7300
Shoulder lesionsM7500
Enthesopathies of lower limb, excluding footM7600
Other enthesopathiesM7700
Other soft tissue disorders, not elsewhere classifiedM7927105
OsteomyelitisM86104112
Other disorders of the musculoskeletal system and connective tissueM95-M99513
Table 5

Number of death across musculoskeletal disorders subgroups by sex and year

ICD-10 title (codes)19971998199920002001200220032004200520062007200820092010201120122013
Infectious arthropathies (M00-M03)Men13694610114135105915111315
Women9615157658893127111367
Inflammatory polyarthropathies (M05-M14)Men4135372741374437333441262624373236
Women12713715915116111813310812813112612513410711011390
Osteoarthritis (M15-M19)Men61213138111011912861010989
Women18161613131381213141314158161312
Other joint disorders (M20-M25)Men14181393204230236455
Women152930118544625216458
Systemic connective tissue disorders (M30-M36)Men3440433129423828332837433041452430
Women7981919082737379746572797165637065
M40-M43 Deforming dorsopathies (M40-M43)Men223424485810165275
Women511910111713106131416131713910
Spondylopathies (M45-M49)Men1815111013710181181215118102011
Women91118116159711811111217211321
Other dorsopathies (M50-M54)Men11315033303333011
Women31903213503221221
Disorders of muscles (M60-M63)Men0410438648111514111617115
Women214934626793681179
Disorders of synovium and tendon (M65-M68)Men00001000000000000
Women10000011100000000
Other soft tissue disorders (M70-M79)Men27122108335499427910
Women161641268111094181188787
Disorders of bone density and structure (M80-M85)Men12576643115111167856
Women2931343743544532484553503858305357
Other osteopathies (M86-M90)Men75115453748863122099
Women10163101154131069731212119
Chondropathies (M91-M94)Men00000000000000010
Women01000000010001000
Other disorders of the musculoskeletal system and connective tissue (M95-M99)Men00110110000010000
Women01120300000131001
Musculoskeletal disorders (M00-M99)Men139147171118131141137130137126164141123149170145142
Women323358393371354323313289325305336333313320302310297
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Journal:  Popul Health Metr       Date:  2010-05-10

7.  The widening mortality gap between rheumatoid arthritis patients and the general population.

Authors:  Angel Gonzalez; Hilal Maradit Kremers; Cynthia S Crowson; Paulo J Nicola; John M Davis; Terry M Therneau; Veronique L Roger; Sherine E Gabriel
Journal:  Arthritis Rheum       Date:  2007-11

8.  Ankylosing spondylitis: clinical course in women and men.

Authors:  F J Jiménez-Balderas; G Mintz
Journal:  J Rheumatol       Date:  1993-12       Impact factor: 4.666

9.  The natural history and clinical syndromes of degenerative cervical spondylosis.

Authors:  John C Kelly; Patrick J Groarke; Joseph S Butler; Ashley R Poynton; John M O'Byrne
Journal:  Adv Orthop       Date:  2011-11-28

10.  Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Theo Vos; Abraham D Flaxman; Mohsen Naghavi; Rafael Lozano; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Richard Gosselin; Rebecca Grainger; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jixiang Ma; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  1 in total

1.  Musculoskeletal disorders as underlying cause of death in 58 countries, 1986-2011: trend analysis of WHO mortality database.

Authors:  Aliasghar A Kiadaliri; Anthony D Woolf; Martin Englund
Journal:  BMC Musculoskelet Disord       Date:  2017-02-02       Impact factor: 2.362

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