Literature DB >> 31913488

Incidence and Outcomes Associated With Clostridium difficile Infections: A Systematic Review and Meta-analysis.

Alexandre R Marra1,2,3, Eli N Perencevich1,3, Richard E Nelson4,5, Matthew Samore4,5, Karim Khader4,5, Hsiu-Yin Chiang6, Margaret L Chorazy1, Loreen A Herwaldt1, Daniel J Diekema1, Michelle F Kuxhausen7, Amy Blevins8, Melissa A Ward1, Jennifer S McDanel1, Rajeshwari Nair1,3, Erin Balkenende1, Marin L Schweizer1,3.   

Abstract

Importance: An understanding of the incidence and outcomes of Clostridium difficile infection (CDI) in the United States can inform investments in prevention and treatment interventions. Objective: To quantify the incidence of CDI and its associated hospital length of stay (LOS) in the United States using a systematic literature review and meta-analysis. Data Sources: MEDLINE via Ovid, Cochrane Library Databases via Wiley, Cumulative Index of Nursing and Allied Health Complete via EBSCO Information Services, Scopus, and Web of Science were searched for studies published in the United States between 2000 and 2019 that evaluated CDI and its associated LOS. Study Selection: Incidence data were collected only from multicenter studies that had at least 5 sites. The LOS studies were included only if they assessed postinfection LOS or used methods accounting for time to infection using a multistate model or compared propensity score-matched patients with CDI with control patients without CDI. Long-term-care facility studies were excluded. Of the 119 full-text articles, 86 studies (72.3%) met the selection criteria. Data Extraction and Synthesis: Two independent reviewers performed the data abstraction and quality assessment. Incidence data were pooled only when the denominators used the same units (eg, patient-days). These data were pooled by summing the number of hospital-onset CDI incident cases and the denominators across studies. Random-effects models were used to obtain pooled mean differences. Heterogeneity was assessed using the I2 value. Data analysis was performed in February 2019. Main Outcomes and Measures: Incidence of CDI and CDI-associated hospital LOS in the United States.
Results: When the 13 studies that evaluated incidence data in patient-days due to hospital-onset CDI were pooled, the CDI incidence rate was 8.3 cases per 10 000 patient-days. Among propensity score-matched studies (16 of 20 studies), the CDI-associated mean difference in LOS (in days) between patients with and without CDI varied from 3.0 days (95% CI, 1.44-4.63 days) to 21.6 days (95% CI, 19.29-23.90 days). Conclusions and Relevance: Pooled estimates from currently available literature suggest that CDI is associated with a large burden on the health care system. However, these estimates should be interpreted with caution because higher-quality studies should be completed to guide future evaluations of CDI prevention and treatment interventions.

Entities:  

Year:  2020        PMID: 31913488      PMCID: PMC6991241          DOI: 10.1001/jamanetworkopen.2019.17597

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

Clostridium difficile (also known as Clostridioides difficile) is the most common pathogen causing health care–associated infections in the United States, accounting for 15% of all such infections.[1] A Centers for Disease Control and Prevention report on antibiotic resistance threats categorized C difficile as an urgent threat.[2] Antibiotic treatment for C difficile infection (CDI) is often followed by recurrent infection, leading to nontraditional treatments, such as fecal transplant and oral administration of nontoxigenic C difficile spores.[3,4] Information about the burden of CDI in the United States could inform investments in prevention and treatment interventions. This information should include the incidence of CDI, how this incidence has changed over time, and poor outcomes associated with CDI. Although prior studies have shown that CDI is associated with poor outcomes, such as recurrence, long hospital length of stay (LOS), mortality, and high treatment costs, these results vary by study location and patient population.[2,5] In addition, many current estimates of the poor outcomes and costs associated with CDI do not take into account the underlying severity of illness among patients who develop CDI and may overestimate the true attributable outcomes.[6] To address gaps in our understanding of the current burden associated with CDI in the United States, we conducted a systematic literature review of studies conducted in the United States and published after 2000 that evaluated the incidence of CDI and associated LOS. The goals were to describe the recent incidence of CDI and to evaluate LOS attributable to CDI.

Methods

Search Strategy

This systematic review and meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)[7] and Meta-analysis of Observational Studies in Epidemiology (MOOSE)[8] reporting guidelines. An experienced health sciences librarian (A.B.) conducted systematic searches in MEDLINE via Ovid, Cochrane Library Databases via Wiley, Cumulative Index of Nursing and Allied Health Complete via EBSCO Information Services, Scopus, and Web of Science to identify articles published from the inception of the database to February 2019. Citations published before 2000 were excluded. A combination of keywords and subject headings were used for “Clostridium difficile,” “length of stay,” and “incidence.” The full search strategies can be found in eAppendix 1 in the Supplement.

Inclusion and Exclusion Criteria

Publications were included if they evaluated the incidence of CDI or LOS associated with CDI. Studies were excluded if they did not contain original data, did not have a control group, were published outside the United States, were published in a language other than English, or were published before 2000. The year 2000 was chosen as the beginning of this systematic literature review because that was when the epidemic BI/NAP1/027 strain of C difficile emerged, after which CDI increased in prevalence and became less responsive to treatment.[4] We excluded studies if they assessed only a specific subset of patients, unless that population could be categorized as 1 of the following subsets: immunocompromised patients, patients in the intensive care unit, patients with cancer, patients with end-stage renal disease, patients undergoing hemodialysis, surgical patients, solid-organ transplant recipients, patients with high-risk gastrointestinal conditions, or peripartum women. We excluded studies with a study period of less than 1 year. We also excluded studies of long-term care facilities. Incidence data were collected only from multicenter studies that had at least 5 sites, because single-site or small studies may be biased by outbreaks or other local conditions. We included incidence studies with denominators of patient-days or person-years, known timing of the CDI such as after surgery or after admission (ie, hospital onset [HO]), or exclusion of patients with a history of CDI. Studies were included in the LOS analysis only if they provided data on postinfection LOS, if they used methods accounting for time to infection using a multistate model, or if propensity score–matched patients with CDI were compared with uninfected controls.[5,9] Studies were excluded if they did not have an uninfected control group or a denominator that included patients without CDI.

Data Extraction and Quality Assessment

Titles and abstracts of all articles were screened to assess inclusion criteria. Two of 9 independent reviewers (M.L.S., M.A.W., M.F.K., H.-Y.C., M.L.C., L.A.H., D.J.D., A.R.M., and E.N.P.) abstracted data for each article. Reviewers resolved disagreements by consensus. The reviewers abstracted data on study design, study population, setting and years, inclusion and exclusion criteria, number of patients included, description of control group, definition of CDI, outcomes (eg, incidence and LOS), and an assessment of the potential risk of bias. Risk of bias was assessed using the Downs and Black scale.[10] Reviewers followed all questions from this scale as written except for question 27 (a single item on the Power subscale, which was scored 0-5), which was changed to a yes or no. Two of us (A.R.M. and M.L.S.) performed component quality analysis independently, reviewed all inconsistent assessments, and resolved disagreements by consensus.[11]

Statistical Analysis

Data analysis was performed in February 2019. Excel spreadsheet software version 2007 (Microsoft Corp) and RevMan statistical software version 5.3 (Cochrane Community) were used for statistical analysis. Incidence data were pooled only when the denominators used the same units (eg, patient-days). These data were pooled by summing the number of HO-CDI incident cases and the denominators across studies. Pooled incidence was reported as the number of incident cases per the given denominator (eg, 10 000 patient-days).[12] No P values were calculated.

Results

Of the 34 775 articles identified (Figure), 119 were full-text articles, and 86 (72.3%) of those articles met the selection criteria and were included in the systematic literature review.[13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93] Among these, 66 articles evaluated incidence,[13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78] and 20 articles evaluated LOS.[16,54,66,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95] One-fifth of the studies that assessed LOS (4 studies)[84,87,91,94] scored 18 or more points of the 28 points possible on the Downs and Black scale[10] and, thus, were considered to be of higher quality.
Figure.

Literature Search for Articles That Evaluated Incidence and Length of Stay (LOS) Associated With Clostridium difficile Infection

CINAHL indicates Cumulative Index of Nursing and Allied Health.

Literature Search for Articles That Evaluated Incidence and Length of Stay (LOS) Associated With Clostridium difficile Infection

CINAHL indicates Cumulative Index of Nursing and Allied Health.

Incidence of CDI Calculated Using Patient-Days (13 Studies)

Sixty-six studies[13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78] measured CDI incidence. Thirteen of those 66 studies[13,14,15,16,17,18,19,20,21,22,23,24,25] used patient-days as the denominator (Table 1). Among these studies, the CDI incidence varied from 2.8 CDI cases per 10 000 patient-days[22] to 15.8 CDI cases per 10 000 patient-days.[20] Three studies[13,17,23] were conducted by the Centers for Disease Control and Prevention. Three studies[17,18,21] were done in New York State. One study[24] from Southern California found that the incidence of community-onset, health care facility (HCF)–associated CDI (11.1 cases per 10 000 patient-days) was almost 2-fold higher than that for HO, HCF-associated CDI (6.8 cases per 10 000 patient-days). The pooled incidence of HO-CDI among the 13 studies[13,14,15,16,17,18,19,20,21,22,23,24,25] (Table 1) that used patient-days as the denominator was 8.3 CDI cases per 10 000 patient-days. Four studies[13,15,18,21] included more than 100 facilities.
Table 1.

Multicenter Studies (≥5 Sites) That Evaluated Clostridium difficile Infection Incidence Calculated Using Patient-Days

SourceData SetStudy PeriodFacilities or Hospitals, No.C difficile DefinitionIncidence
Archibald et al,[13] 2004CDC’s National Nosocomial Infections Surveillance1987-200190-340 Hospitals depending on yearCDC definitionTeaching hospital intensive care units, 5.1 cases/10 000 patient-days; nonteaching hospital intensive care units, 4.4 cases/10 000 patient-days
Burger et al,[14] 2006Veterans’ Health Administration East Coast Infection Control Council hospitalsQ3 1999 to Q4 200232CDC definition7.9 Cases/10 000 patient-days
Campbell et al,[15] 2009State of OhioJanuary 1, 2006, to December 31, 2006210ICD-9 code, laboratory tests, clinical findings6.4-7.9 Cases/10 000 patient-days
Dubberke et al,[16] 2010Hospitals in CDC Epicenter NetworkJuly 2000 to June 20065C difficile toxin assay results and the ICD-9 codeHO, HCF–associated cases: 7.0 cases/10 000 patient-days in 2001 and 8.5 cases/10 000 patient-days in 2006
Gase et al,[17] 2013New York State National Healthcare Safety NetworkJuly-December 200930Clinical findings, laboratory tests9.66 Cases/10 000 patient-days (95% CI, 9.21-10.1 cases/10 000 patient-days)
Haley et al,[18] 2014New York hospital discharge billing records2010124Clinical findings, laboratory tests11.6 Cases/10 000 patient-days
Kim et al,[19] 2008Pediatric Health Information System Database2001-200622ICD-9 code, billing charge for C difficile toxin assay, and an initial dose of C difficile antibiotic therapy in the period of 1 d before to 2 d after C difficile toxin assay2001, 4.4 Cases/10 000 patient-days; 2006, 6.5 cases/10 000 patient-days
Kamboj et al,[20] 2012Comprehensive Cancer Center’s Infection Control Group Network of Patients with Cancer or Hematopoietic Stem Cell Transplant2010-201111Laboratory tests and C difficile surveillanceHO C difficile infection, 15.8 cases/10 000 patient-days
McDonald et al,[21] 20123 State-led programs (Illinois, Massachusetts, New York)2008-2011711Clinical findings, laboratory tests7.4 Cases/10 000 patient-days
Miller et al,[22] 2011Duke Infection Control Outreach Network2005-200928Infection preventionist evaluated surveillance or diagnosis2.8 Cases/10 000 patient-days
Sohn et al,[23] 2005Hospitals in CDC Epicenter Network2000-20037Clinical findings, laboratory tests, and CDC surveillance of C difficile12.1 Cases/10 000 patient-days (mean range, 3.1-25.1 cases/patient-days); 7.4 cases/1000 admissions (mean range, 3.1-13.1 cases/1000 admissions)
Tartof et al,[24] 2014Kaiser Permanente Southern California health care system2011-201214Laboratory tests: polymerase chain reactionCommunity-onset, HCF-associated, 11.1 cases/10 000 patient-days; HO, HCF-associated, 6.8 cases/10 000 patient-days
Zilberberg et al,[25] 2011CareFusion clinical research databaseJanuary 2007 to June 200885Laboratory tests6.3 Cases/10 000 patient-days

Abbreviations: CDC, Centers for Disease Control and Prevention; HCF, health care facility; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; Q, quarter.

Abbreviations: CDC, Centers for Disease Control and Prevention; HCF, health care facility; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; Q, quarter. The definitions of C difficile used to identify cases varied. Three studies[17,18,21] used clinical findings and results of laboratory tests for C difficile, 3 studies[13,14,23] used the Centers for Disease Control and Prevention surveillance definition to identify C difficile, 2 studies[20,22] applied infection preventionist evaluations for C difficile surveillance, and 2 studies[24,25] used only results of laboratory tests for C difficile. The remaining studies used a variety of ways to identify CDI, including International Classification of Diseases, Ninth Revision (ICD-9) codes or other billing codes,[15,16,19] laboratory test results,[15,16,20,23] clinical findings,[15,23] and initial doses of C difficile antibiotic therapy.[19] When we examined incidence by time period, we found that the early studies from 2000 to 2008 had a range from 2.8 to 12.2 CDI cases per 10 000 patient-days, studies from 2008 to 2009 had a range from 6.3 to 9.6 CDI cases per 10 000 patient-days, and the later studies after 2010 reported a range from 6.8 to 15.8 CDI cases per 10 000 patient-days (Table 1).

Incidence of CDI Calculated Using Person-Years (17 Studies)

Fourteen studies[26,27,28,29,30,31,32,33,34,35,36,37,38,39] included both inpatients and outpatients (Table 2), reflected in a denominator of person-years in 8 studies.[27,28,29,30,32,34,36,39] Seven of those 14 studies[27,28,29,30,32,34,39] used only ICD-9 codes to define CDI. In a study[36] of adult and adolescent patients with HIV/AIDS that included more than 100 hospitals, during 10 years of study, the peak incidence of CDI was 9.59 cases per 1000 person-years among patients with clinical AIDS. A study[28] of the Armed Forces Health Surveillance Center in Maryland over the course of 12 years found the incidence of community-associated CDI to be 5.5 cases per 100 000 person-years. In a study[29] evaluating the annual incidence of CDI and multiply recurrent CDI per 1000 person-years, the incidences increased by 42.7% and 188.8%, respectively, during a decade (2001-2012) in the United States. In another study[30] with 12 years of data from 5 administrative databases, elderly people (ie, aged >65 years) had a CDI rate of 677 cases per 100 000 person-years. In contrast, a managed-care organization in Colorado found that the CDI incidence in 2007 was 14.9 CDI cases per 10 000 patient-years.[32] These studies were too diverse to pool together into 1 estimate.
Table 2.

Multicenter Studies (≥5 Sites) That Evaluated Clostridium difficile Infection Incidence Calculated Using Person-Years

SourceData SetStudy PeriodFacilities or Hospitals, No.C difficile DefinitionIncidence
Denominator: geographic population (inpatient and outpatient)
Chernak et al,[26] 2005Philadelphia, Pennsylvania, and surrounding 4 counties2004-2005Not statedClinical diagnosisCommunity-associated, 7.6 cases/100 000 population
Dubberke et al,[27] 2016Medicare Chronic Condition Warehouse (5% random sample)20095% Random sampleICD-9Overall incidence of CDI, 677 cases/100 000 persons
Gutiérrez et al,[28] 2013Defense Medical Surveillance Center, Armed Forces Health Surveillance Center, US Department of Defense, Silver Spring, Maryland1998-2010Not statedICD-9C difficile–associated disease incidence, 13.2 cases/100 000 person-years; community-associated, 5.5 cases/100 000 person-years; health care C difficile–associated disease, 1.3 cases/1000 hospitalizations
Ma et al,[29] 2017OptumInsight Clinformatics Database2001-201238 911 718 Commercially insured patientsICD-9Annual incidence of CDI and multiply recurrent CDI per 1000 person-years increased by 42.7% (from 0.4408 to 0.6289 case) and 188.8% (from 0.0107 to 0.0309 case), respectively
Olsen et al,[30] 20165 Databases: Medicare 5% Sample, Healthcare Cost and Utilization Project State Inpatient Databases and the National Inpatient Sample, OptumInsight Retrospective Database, and Premier Perspective2000-2012Not statedICD-9Adults aged <65 y, 66.0 cases/100 000 person-years for OptumInsight Retrospective Database and 37.5 cases/100 000 person-years for State Inpatient Databases; adults aged >65 y, 677 cases/100 000 person-years for Medicare and 383 cases/100 000 person-years for State Inpatient Databases
Rabatsky-Ehr et al,[31] 2008Connecticut Department of Health reportable conditions surveillance system200628 Hospitals and US Census for ConnecticutClinical findings, laboratory tests6.9 Cases/100 000 population
Kuntz et al,[32] 2012Kaiser Permanente Colorado and Kaiser Permanente Northwest (both inpatient and outpatient)2007Not statedICD-9 code and positive test result needing antibiotic dispensation14.9 Cases/10 000 patient-years; for women, 213 cases/100 000 enrollees aged 60-69 y, 420 cases/100 000 enrollees aged 70-79 y, and 795 cases/100 000 enrollees aged ≥80 y; for men, 167 cases/100 000 enrollees aged 60-69 y, 311 cases/100 000 enrollees aged 70-79 y, and 871 cases/100 000 enrollees aged ≥80 y
Lessa et al,[33] 2014Centers for Disease Control and Prevention Emerging Infections Program2010CDI surveillance in selected counties across 7 US statesLaboratory test (nucleic acid amplification)Crude incidence varied by geographic area; community-associated, 30.7-41.3 cases/100 000 population; health care–associated, 58.5-94.8 cases/100 000 population
Reveles et al,[34] 2017Veterans Affairs Informatics and Computing Infrastructure2002-2014150 VHA hospitals and 820 VHA clinicsICD-9 and positive test result for CDIOverall, 3.1 cases/10 000 VHA enrollees; 2002, 1.6 cases/10 000 VHA enrollees; 2013, 5.1 cases/10 000 VHA enrollees; 2014, 4.6 cases/10 000 VHA enrollees
Rhee et al,[35] 2014Centers for Disease Control and Prevention Emerging Infections Program2010-2011CDI surveillance in Monroe County, New YorkClinical diagnosis plus laboratory tests; enzyme immunoassay toxin or glutamate dehydrogenase with enzyme immunoassay toxin or nucleic acid amplification test2010, 33.8 cases/100 000 population; 2011, 45.8 cases/100 000 population
Sanchez et al,[36] 2005Adult or adolescent spectrum of HIV disease project (inpatient and outpatient)1992-2002>100 HospitalsClinical findings, laboratory testsAll patients with HIV or AIDS, 4.12 cases/1000 person-years; patients with immunologic AIDS, 2.10 cases/1000 person-years; patients with clinical AIDS, 9.59 cases/1000 person-years
Troppy et al,[37] 20193 Sources of data: Massachusetts Virtual Epidemiology Network, National Healthcare Safety Network, and 2010 US Census data in Massachusetts2016Not statedLaboratory tests132.5 Cases/100 000 population
Wendt et al,[38] 2014Centers for Disease Control and Prevention Emerging Infections Program in selected counties in 10 US states (California, Colorado, Connecticut, Georgia, Minnesota, New York, Oregon, Tennessee, Maryland, and New Mexico)2010-2011Not statedInfection preventionist evaluated surveillance or diagnosisOf 944 pediatric CDI cases identified, 71% were in California; CDI incidence children was highest among children aged 1 y (66.3 cases/per 100 000)
Young-Xu et al,[39] 2015VHA health care records2009-2013152 HospitalsICD-9 and positive test for CDIOverall CDI rate increased by 8.4% from 193 episodes/100 000 patient-years in 2009 to 209 episodes/100 000 patient-years in 2013
Denominator: geographic population (only inpatient)
Argamany et al,[40] 2015US National Hospital Discharge Survey2001-2010National Hospital Discharge Survey data are collected manually or automatically by trained hospital staff, US Census Bureau staff, or National Center for Health Statistics staffICD-9Pediatric population: 1.2 CDI discharges/1000 total discharges
Zilberberg et al,[41] 2008AHRQ National Inpatient Sample infant patients2000-2005Not statedICD-92000, 2.8 Cases/10 000 hospitalizations in infants; 2005, 5.1 cases/10 000 hospitalizations in infants
Zilberberg et al,[42] 2008AHRQ National Inpatient Sample adult patients2000-2005Not statedICD-92000, 5.5 Cases/10 000 hospitalizations in adults; 2005, 11.2 cases/10 000 hospitalizations in adults

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; ICD-9, International Classification of Diseases, Ninth Revision; VHA, Veterans Health Administration.

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; ICD-9, International Classification of Diseases, Ninth Revision; VHA, Veterans Health Administration. Three studies[40,41,42] included only inpatients (Table 2). Two of these studies[41,42] assessed the Agency for Healthcare Research and Quality (AHRQ) National Inpatient Sample (NIS). One evaluated infant patients from the AHRQ NIS cohort,[41] and the other study evaluated adult patients from the AHRQ NIS cohort.[42] Both studies documented substantial increases in CDI incidence between 2000 and 2005, from 2.8 to 5.1 cases per 10 000 hospitalizations, and from 5.5 to 11.2 cases per 10 000 hospitalizations, respectively.[41,42] The third study,[40] which was from the US National Hospital Discharge Survey between 2001 and 2010, found that the incidence of CDI in the pediatric population was 1.2 CDI discharges per 1000 total discharges.

Incident Cases of CDI (36 Studies)

Twenty-six studies[43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68] documented HO-CDIs, which we assumed were incident cases (Table 3). Of these studies, the AHRQ NIS was the main data set, represented by 10 included studies.[43,45,47,50,51,56,58,59,61,68] These studies assessed diverse patient populations with different comorbidities, including peripartum women[68] and patients with inflammatory bowel disease,[43] lymphoma,[45] leukemia,[58] subarachnoid hemorrhage treated with microsurgical or endovascular aneurysm repair,[47] chronic liver disease,[50] hematopoietic stem cell transplant,[51] megacolon,[56] or heart failure.[59] Thus, the results of these studies were also too diverse to pool together. One study[68] found that the CDI incidence among peripartum women increased from 0.36 cases per 10 000 in 1998 to 0.70 cases per 10 000 in 2006. The US National Hospital Discharge Survey database was represented in 6 included studies.[49,52,53,55,64,65] These studies also assessed diverse patient populations, including children[52] and adults with different comorbidities, such as cancer[49,52] and inflammatory bowel disease.[65] In 1 of these studies,[65] the overall incidence of HO-CDI was 369.8 cases per 10 000 hospitalizations for inflammatory bowel disease. In that same study,[65] the HO-CDI incidence was 445.6 cases per 10 000 hospitalizations for ulcerative colitis and 220.3 cases per 10 000 hospitalizations for Crohn disease.
Table 3.

Multicenter Studies (≥5 Sites) That Evaluated Clostridium difficile Infection Incidence Using Incident Cases

SourceData SetStudy PeriodFacilities or Hospitals, No.C difficile DefinitionIncidence
HO infections
Barber et al,[43] 2018AHRQ NIS patients with inflammatory bowel disease1998-2014Approximately 1000 hospitalsICD-9Incidence of HO-CDI, 7.8 cases/1000 hospitalizations in 1998 and 32.1 cases/ 1000 hospitalizations in 2014 among patients with Crohn disease, and 23.0 cases/1000 hospitalizations in 1998 and 84.7 cases/1000 hospitalizations in 2014 among patients with ulcerative colitis
Barlam et al,[44] 2018Truven Health Marketscan Commercial Claims and Encounters database2011-2013This database represents approximately 50 million covered lives (annually) for employed subscribers aged <65 y and their dependentsICD-94 080 597 Unique individuals aged 1-64 y were admitted to the hospital in 2011; 12 025 had ≥1 C difficile diagnosis and complete enrollment information for 2011 (12 025 / 4 080 597 = 0.29%)
Bhandari et al,[45] 2018AHRQ NIS database2007-201120% Stratified sample of US community hospitalsICD-9Incidence of HO-CDI was 2.13% among patients with lymphoma and 0.8% among patients without lymphoma
Brown et al,[46] 2017VA health care systemJanuary 2006- December 2012131 Acute care facilitiesLaboratory tests15.6 CDI cases/10 000 person-days
Dasenbrock et al,[47] 2016AHRQ NIS patients with subarachnoid hemorrhage who underwent microsurgical or endovascular aneurysm repair2002-2011Approximately 1000 hospitalsICD-9Incidence of HO-CDI was 1.9%
Davis et al,[48] 2018Electronic medical record of the health system2014-20165-Hospital health system in Houston, TexasLaboratory testsIncidence of HO-CDI was 1.52%
Delgado et al,[49] 2017US NHDS2001-2010Not statedICD-9Incidence of HO-CDI was 8.6 cases/1000 cancer discharges
Dotson et al,[50] 2018AHRQ NIS patients with chronic liver disease2009Approximately 1000 hospitalsICD-9Incidence of HO-CDI was 189.4 cases/10 000 discharges
Guddati et al,[51] 2014AHRQ NIS database2000-200920% Stratified sample of US community hospitalsICD-9Incidence of HO-CDI among hematopoietic stem cell transplant recipients was 4.7%; nontransplant discharges were 0.86 cases/100 hospitalized patients
Gupta et al,[52] 2016US NHDS2005-2009Not statedICD-9Overall HO-CDI incidence in children was 33.5 cases/10 000 hospitalizations
Gupta et al,[53] 2017US NHDS2001-2010100 HospitalsICD-9Incidence of HO-CDI in patients with cancer was 64.7 cases/10 000 discharges in 2001-2002 and 109.1 cases/10 000 discharges in 2009-2010
Jiang et al,[54] 2013Rhode Island Hospital Discharge Database2010-201111 HospitalsICD-9 excluding present on admission codeHO-CDI, 1211 infections among 225 999 discharges = 53.5 cases/10 000 discharges
Khanna et al,[55] 2016US NHDS2005-2009100 HospitalsICD-9HO-CDI incidence was 77.8 cases/10 000 hospitalizations
Kuy et al,[56] 2016AHRQ NIS patients with both C difficile and megacolon2000-2010Approximately 1000 hospitalsICD-9Overall incidence of megacolon among all hospitalized patients was 0.02% from 2000 to 2010; percentage of cases of megacolon due to CDI was 3.61% in 2000 and 9.39% in 2010
Lessa et al,[57] 2015Centers for Disease Control and Prevention Emerging Infections Program201110 Program sites across 34 countiesLaboratory tests453 000 Incident infections
Luo et al,[58] 2015AHRQ NIS patients with CDI with leukemia2005-2011Approximately 1000 hospitalsICD-9Overall incidence of CDI among patients with leukemia, 3.4%; incidence of CDI among all hospitalized patients, 0.85%; incidence of CDI among patients with leukemia in 2005, 3.0%; incidence of CDI among patients with leukemia in 2011, 3.5%
Mamic et al,[59] 2016AHRQ NIS database201220% Stratified sample of US community hospitalsICD-9HO-CDI incidence among patients with a discharge diagnosis of heart failure, 3.5%
Miller et al,[60] 2016Healthcare Cost and Utilization Project State Inpatient Database for California2005-2011480 HospitalsICD-9Overall incidence of HO-CDI, 0.15 cases/100 patients
Miller et al,[61] 2016AHRQ NIS database2009-2011480 HospitalsICD-9HO-CDI incidence, 0.85 cases/100 patients in 2009, 0.89 cases/100 patients in 2010, and 0.99 cases/100 patients in 2011
Pant et al,[62] 2016Kids’ Inpatient Database (Healthcare Cost and Utilization Project)2003-2012Contains data from a variety of hospitals, including nonfederal, short-term, general, and special hospitals (including children’s hospitals) accessible by the general publicICD-9Incidence rate of CDI increased from 24.0 to 58.0 cases/10 000 discharges per year (P < .001) across all age groups, with the greatest increase in children aged ≥15 y
Pant et al,[63] 20162012Rate of CDI infection in children without solid-organ transplant was 0.6% and was greater (3.6%) in children with solid-organ transplant
Reveles et al,[64] 2014US NHDS of hospitalized adults2001-2010100 HospitalsICD-9Incidence of HO-CDI, 4.5 cases/1000 adult discharges in 2001 and 8.2 cases/1000 adult discharges in 2010
Saffouri et al,[65] 2017US NHDS inflammatory bowel disease hospitalizations2005-2009100 HospitalsICD-9Overall incidence of HO-CDI was 369.8 cases/10 000 inflammatory bowel disease hospitalizations; HO-CDI incidence was 445.6 cases/10 000 ulcerative colitis hospitalizations and 220.3 cases/10 000 Crohn disease hospitalizations
Sammons et al,[66] 2013Pediatric Health Information System Database2006-201141 Pediatric hospitalsICD-9 and positive test for CDI5107 Cases/693 516 patients; 73.6 cases/10 000 patients
Murphy et al,[67] 2012California hospital discharge data2000-200729 HospitalsICD-928.7 Cases/10 000 admissions in 2000 and 52.2 cases/10 000 admissions in 2007
Kuntz et al,[68] 2010AHRQ NIS women hospitalized for childbirth and delivery1998-200620% Stratified sample of discharges from nonfederal acute care hospitalsICD-9CDI incidence ranged from 0.36 CDI cases/10 000 peripartum women in 1998 to 0.70 CDI cases/10 000 peripartum women in 2006
Denominator: surgical patients
Aquina et al,[69] 2016Statewide Planning and Research Cooperative System (a hospital discharge database by the New York Department of Health)2005-2013Patient-level data for all hospital admissions, ambulatory surgery procedures, and emergency department visits within New York StateICD-922 Cases of CDI/1000 discharges
Bovonratwet et al,[70] 2018American College of Surgeons National Surgical Quality Improvement Program database2015500 InstitutionsClinical findings, laboratory tests0.11% of the population had postoperative CDI
Bovonratwet et al,[71] 2018American College of Surgeons National Surgical Quality Improvement Program database2015500 InstitutionsClinical findings, laboratory testsA total of 73 patients had C difficile colitis, generating an incidence of 1.05% (adult elderly, surgical patients [hip fracture])
Bovonratwet et al,[72] 2018The incidence of C difficile colitis was 0.10% (adult nonelderly and elderly, surgical patients [hip and knee arthroplasty])
Delanois et al,[73] 2018AHRQ NIS database2009-2013Not statedICD-9After revision total hip arthroplasty, 1.7% of patients had postoperative CDI
Englesbe et al,[74] 2010Michigan Surgical Quality Collaborative and American College of Surgeons-National Surgical Quality Improvement Program on colectomy operations2007-200924 HospitalsNot statedAmong patients undergoing colectomies who received nonabsorbable antibiotics for bowel preparation, 1.9% had postoperative CDI; among patients undergoing colectomies who did not receive nonabsorbable antibiotics for bowel preparation, 3% had postoperative CDI
Lesperance et al,[75] 2011AHRQ NIS patients who underwent elective colon resections2004-2006Approximately 1000 hospitalsICD-9Overall, 1.4%; 2004, 1.31%; 2005, 1.45%; 2006, 1.67%
Guzman et al,[76] 2016AHRQ NIS patients who underwent cervical spine surgery2002-2011Approximately 1000 hospitalsICD-9Overall incidence of CDI in postoperative cervical spine surgery hospitalizations, 0.08%; in 2011, 0.14%
Gwam et al,[77] 2018AHRQ NIS database2009-2013Not statedICD-9Incidence of CDI after revision total knee arthroplasty, 1.0%
Maltenfort et al,[78] 2013AHRQ NIS database2002-2010Not statedICD-9Incidence of C difficile remained <0.6% during the study period

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; NHDS, National Hospital Discharge Survey; NIS, National Inpatient Sample; VA, Veterans Affairs.

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; NHDS, National Hospital Discharge Survey; NIS, National Inpatient Sample; VA, Veterans Affairs. Ten studies[69,70,71,72,73,74,75,76,77,78] evaluated surgical patients (Table 3), and, thus, we assumed that the CDI cases were incident cases. Five studies[73,75,76,77,78] used data from AHRQ NIS. These AHRQ NIS studies analyzed a variety of surgical procedures, including spine surgery[76]; hip,[73] knee,[77] or lower-extremity[78] arthroplasty; and elective colon resections.[75] One of them had CDI occurring in 1.4% of patients, for a rate of 144.99 cases of C difficile colitis per 10 000 elective colon resections, and the incidence increased from 1.31% in 2004 to 1.67% in 2006.[75]

LOS Associated With CDI (20 Studies)

Twenty studies[16,54,66,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94] (Table 4) evaluated CDI-associated LOS. Sixteen studies[54,66,79,80,81,82,83,84,85,86,87,88,89,92,94,95] used propensity score matching to evaluate LOS associated with CDI, 2 studies[16,93] used postinfection LOS, 1 study[90] matched on LOS from admission until either positive C difficile test results or discharge, and 1 study[91] accounted for time to infection using a multistate model. Also, one of the propensity score matched–studies applied multistate modeling to account for timing of infection.[88] Pediatric patients were included in 3 of these studies.[66,86,87]
Table 4.

Length of Stay Associated With Clostridium difficile Infection Among Studies That Used Appropriate Methods

SourceData SetStudy PeriodPatient PopulationFacilities or Hospitals, No.LOSMethodDowns and Black Scoreb
Campbell et al,[79] 2013Cerner Health Facts Electronic Health Record Database2005-2011Hospitalized adults at high risk for poor outcomes including those aged >65 y, those with complex conditions or chronic diseases (renal disease, cancer, inflammatory bowel disease) and those with concomitant antibiotic use74Among patients aged >65 y with HO-CDI, mean 19.10 d; among patients without CDI aged >65 y, mean, 16.06 d; mean difference, 3.04 d (95% CI, 1.44-4.63 d)Propensity score matched including matching on preinfection LOS17
Drozd et al,[80] 2015Medicare Standard Analytic Files2009-2010Inpatients5% Random sample of MedicareAmong patients with CDI, mean, 7.0 d; among patients without CDI, mean, 3.8 d; mean difference, 3.2 dPropensity score matched17
Dubberke et al,[81] 2008Barnes-Jewish Hospital2003Inpatients1Among patients with CDI, median, 9.6 d; among patients without CDI, median, 5.8 d; attributable median difference, 2.8 dPropensity score matched15
Dubberke et al,[16] 2010Hospitals in Centers for Disease Control and Prevention Epicenter NetworkJuly 2000 to June 2006Hospitalized adults5 HospitalsCommunity-onset, patients with community-associated CDI, median, 5 d; patients with community-onset HCF-associated CDI (study hospital), median, 6 d; patients with community-onset HCF-associated CDI (other hospital), median, 8 dPostinfection LOS13
Egorova et al,[82] 2015AHRQ NIS database2000-2011Patients included in the Nationwide Inpatient Sample20% of US HospitalsAmong patients with CDI, median (IQR), 15 (9-25) d; among patients without CDI, median (IQR), 8.3 (4.6-13.6) d; attributable median difference, 6.7 dPropensity score matched17
Gabriel et al,[83] 2018University of California Irvine Trauma Database2014-2016CDI in hospitalized adult trauma patients1Odds ratio, 1.39; 95% CI, 1.16-1.66Propensity score matched15
Jiang et al,[54] 2013Rhode Island Hospital Discharge Database2010-2011Hospitalized adults; evaluated health care–onset CDI11Among patients with CDI, mean (SD), 18.9 (21.7) d; among patients without CDI, mean (SD), 8.6 (11.3) d; mean difference, 10.3 dPropensity score matched15
Li et al,[84] 2016Veterans Affairs Surgical Quality Improvement Program database and Decision Support System pharmacy2009-2013Postoperative adult patients134Among patients with CDI, mean (SD), 15.6 (19.5) d; among patients without CDI, mean (SD), 8.1 (12.6) d; mean difference, 7.5 dPropensity score matched18
Magee et al,[85] 2015Discharges from Premier database2009-2011InpatientsGeographically diverse hospitalsAmong patients with CDI mean (SD), 14.4 (18.3) d; among patients without CDI, mean (SD), 8.7 (15.6) d; mean difference, 5.7 dPropensity score matched17
Mehrotra et al,[86] 2017AHRQ Kids’ Inpatient Database2012Pediatric inpatients2500-4100 Hospitals/yAmong patients with CDI mean, 9.4 d (95% CI, 9.1-9.6 d); among patients without CDI, mean, 5.4 d (95% CI, 5.3-5.6 d); mean difference, 3.9 dPropensity score matched17
Nylund et al,[87] 2011Healthcare Cost and Utilization Project Kids’ Inpatient Database1997, 2000, 2003, 2006Pediatric patientsNot statedOdds ratio, 4.34; 95% CI, 3.97-4.83Propensity score matched19
Pak et al,[88] 2017Mount Sinai Hospital Electronic Medical Record2009-2015Adult inpatients1Median difference by case definition: ICD-9 code, 3.1 d (95% CI, 2.2-3.9 d); positive toxin enzyme immunoassay, 10.1 d (95% CI, 7.3-12.2 d); positive toxin polymerase chain reaction, 6.6 d (95% CI, 5.0-8.1 d); either toxin assay, 7.2 d (95% CI, 5.8-8.3 d); by any of these, 5.7 d (95% CI, 4.5-6.6 d); stratification by time to first positive toxin assay, 3.1 d (95% CI, 1.7-4.4 d); under the same case definition, the multistate model averaged an excess LOS of 3.3 d (95% CI, 2.6-4.0 d)Propensity score matched plus multistate modeling to account for timing of infection14
Radcliff et al,[89] 2016Texas Health Care Information Collection Inpatient Public Use Data Files2007-2011InpatientsTexas hospitalsFor 2007, among patients with CDI, mean, 19.0 d; among patients without CDI, mean, 9.7 d; mean difference: 9.3 d; for 2011, among patients with CDI, mean, 16.5 d; among patients without CDI, mean, 9.2 d; mean difference, 7.4 dPropensity score matched12
Sammons et al,[66] 2013Pediatric Health Information System Database2006-2011Hospitalized children at 41 children’s hospitals41Among patients with HO-CDI, median (IQR), 23 d (12-44 d); among patients without CDI matched to patients with HO-CDI, median (IQR not stated), 4 d; median difference, 19 d; adjusted mean difference, 21.6 d (95% CI, 19.29-23.90 d)Propensity score matched15
Song et al,[90] 2008Johns Hopkins HospitalJanuary 2000 to October 2005Hospitalized adults patients1Among patients with CDI, median, 19 d; among patients without CDI, median, 18 d; adjusted difference, 13% increased LOS among patients with CDIMatched on LOS from admission to either positive C difficile test or discharge15
Stevens et al,[91] 2015VA Healthcare SystemJanuary 2005 to December 2012Hospitalized adults patients120 Acute care facilitiesAmong patients with CDI, mean (SD), 19.4 (31.7) d; among patients without CDI, mean (SD), 5.4 (8.4) d; mean difference, 14 d; multistate modeling estimated an attributable LOS of only 2.27 d (95% CI, 2.14-2.40 d)Multistate modeling to account for timing of infection19
Stewart et al,[92] 2011AHRQ NIS database2007Patients included in the Nationwide Inpatient Sample; age unknown, assumed all ages20% of US hospitalsAmong patients with CDI, mean (SD), 13.0 (14) d; among patients without CDI mean (SD), 7.9 (9) d; mean difference, 5.1 dPropensity score matched17
Stewart et al,[93] 2012Pennsylvania State College of Medicine2004-2009Patients with and without hematologic malignancies who acquired CDI1Postinfection LOS for patients with CDI with malignancies and receiving chemotherapy, mean (SD), 22.4 (23.2) d; postinfection LOS for patients with CDI without malignancies, mean (SD), 10.2 (10) dPostinfection LOS14
Tabak et al,[94] 2013CareFusion database of 6 Pennsylvania hospitals2007-2008Hospitalized patients6Among patients with CDI, mean (SD), 16.3 (14.2) d; among patients without CDI, mean (SD), 14.0 (11.9) d; attributable days, 2.4 (95% CI, 0.7-4.4; P < .01)Propensity score matched18
Zilberberg et al,[95] 2009AHRQ NIS database2005Hospitalized patientsApproximately 1000 hospitalsPatients with CDI had an independent increase in the hospital LOS by 6.1 d (95% CI, 4.9-7.4 d)Propensity score matched16

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; HCF, health care facility; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; IQR, interquartile range; LOS, length of stay; NIS, National Inpatient Sample; VA, Veterans’ Affairs.

Methods include propensity score matching or postinfection LOS or matched on preinfection LOS or multistate modeling.

The Downs and Black scale measures study quality, with a score of 18 or higher indicating higher quality, and a maximum score of 28 possible.[10]

Abbreviations: AHRQ, Agency for Healthcare Research and Quality; CDI, Clostridium difficile infection; HCF, health care facility; HO, hospital onset; ICD-9, International Classification of Diseases, Ninth Revision; IQR, interquartile range; LOS, length of stay; NIS, National Inpatient Sample; VA, Veterans’ Affairs. Methods include propensity score matching or postinfection LOS or matched on preinfection LOS or multistate modeling. The Downs and Black scale measures study quality, with a score of 18 or higher indicating higher quality, and a maximum score of 28 possible.[10] Among the 13 propensity score–matched studies of adults, the CDI-associated mean difference in LOS (in days) between patients with CDI and patients who did not have CDI varied greatly from 3.0 days (95% CI, 1.44-4.63 days)[79] to 10.3 days.[54] Among the 3 pediatric propensity score–matched studies,[66,86,87] the highest CDI-associated mean difference in LOS (in days) was 21.6 days (95% CI, 19.29-23.90 days).[66] Among the studies that used multistate models to account for timing of infection, a study[91] performed in the Veterans Affairs health care system found that the magnitude of its estimated impact was smaller when methods were used to account for the time-varying nature of infection. That study estimated a CDI-attributable LOS of only 2.27 days (95% CI, 2.14-2.40 days).[91] The other study[88] that performed propensity score matching and used a multistate model converged on similar excess LOS estimates of 3.1 days (95% CI, 1.7-4.4 days) and 3.3 days (95% CI, 2.6-4.0 days), respectively. Four studies[84,87,91,94] that evaluated LOS earned 18 or more points on the Downs and Black scale.[10] One study[91] also used multistate modeling. Another was also performed in the Veterans Affairs health care system[84,91] and found a mean difference between patients with and without CDI of 7.5 days.[84] One study[87] of pediatric patients found that those with CDI had a longer LOS (adjusted odds ratio, 4.34; 95% CI, 3.97-4.83). Another study[94] of adult patients in Pennsylvania hospitals showed an attributable hospital LOS difference of 2.4 days (95% CI, 0.7-4.4 days; P < .01) between patients with and without CDI.

Discussion

National epidemiological investigations have demonstrated recent marked increases in CDI in the United States.[34] Thus, a national public health response to this increase requires current estimates of the CDI incidence.[96,97,98] Our systematic review of the literature found that the CDI incidence varied by study and that the investigators used different denominators when they calculated the incidence for specific study populations. In our meta-analysis of studies that used patient-days as the denominator, we estimated the incidence of CDI in the United States to be 8.3 CDI cases per 10 000 patient-days. Variation in CDI incidence may be due, in part, to advances in diagnostic technology and variations in diagnostic practices.[99,100,101] Nucleic acid amplification tests are more sensitive than traditional C difficile stool tests (eg, toxin enzyme immunoassay). Nucleic acid amplification tests have been used more frequently in clinical practice since 2009, when the first commercial polymerase chain reaction was approved by the US Food and Drug Administration.[102] The topic of CDI testing methods and risk adjustment is complex.[103,104] Concerns have been expressed about the adequacy of risk adjustment to account for different CDI testing methods (toxin enzyme immunoassay alone, polymerase chain reaction alone, toxin enzyme immunoassay plus glutamate dehydrogenase followed by polymerase chain reaction for discrepancies, polymerase chain reaction followed by toxin enzyme immunoassay, and other diagnostic options) across HCFs. The choice of testing methods substantially affects the performance of these testing algorithms.[99,100,101] In addition, the CDI incidence found by these studies likely varied because of the different database structures adopted by the various hospitals.[13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78] Some analyses were based on health care systems databases, but most used large infection control surveillance, state, or national discharge databases.[13,14,15,16,17,18,19,20,21,22,23,24,25] Beginning in January 2013, the Centers for Medicare & Medicaid Services began requiring public reporting of CDI rates via the National Healthcare Safety Network for those hospitals participating in the Inpatient Prospective Payment System.[64] Specifically, 1 study[29] demonstrated an increase in the annual incidence of CDI and multiply recurrent CDI per 1000 person-years by 42.7% and 188.8%, respectively, between 2001 and 2012. Another CDI surveillance study[33] in 7 US states reported an increase not only in community-associated CDI incidence rates but also an increase in health care–associated CDI incidence rates. Furthermore, CDI can complicate comorbid conditions and result in the need for additional hospital resources.[34] Included studies detected an increase in the CDI incidence in patients with inflammatory bowel disease,[43] patients with cancer,[52] those undergoing surgery,[75,76] and even infants.[41] The results of our systematic review of literature and meta-analysis emphasize the need to perform C difficile surveillance and direct resources to the prevention of CDI in order to reduce the incidence across the United States.

Limitations

This systematic literature review has some limitations. First, the results of systematic literature reviews and meta-analyses are only as valid as the results of the studies evaluated. Most studies included in this systematic literature review were of moderate-to-low quality and may have overestimated the outcomes. We need more high-quality studies so that we can accurately determine postinfection LOS, because LOS before the infection should not be attributed to C difficile.[5] Second, we included studies that used ICD-9 codes to define CDI. The ICD-9 codes are used for billing purposes and are not ideal for surveillance. However, a prior meta-analysis[105] found that the ICD-9 code for C difficile had good sensitivity, specificity, positive predictive value, and negative predictive value compared with clinical definitions. Third, we only included studies conducted in the United States and published in English, which limits the external validity of this research. We used these inclusion criteria because our goal was to evaluate the burden of CDI in the United States. Future systematic literature reviews should be performed to evaluate this burden in other countries. Fourth, we found heterogeneity in all LOS-stratified analyses (eAppendix 2 and eTable in the Supplement). We found that the higher-quality studies that used advanced statistical methods to attempt to account for time-dependent bias found lower CDI-attributable LOS compared with other studies that did not use advanced methods. In addition, our incidence estimates were derived from multicenter studies only. Incidence rates in small studies may be variable and subject to bias; thus, this criterion was established a priori to determine representative incidence rates. From incident cases of CDI (36 studies), we were unable to exclude recurrent and multiply recurrent CDI cases if the study did not exclude those cases. For this meta-analysis, we decided to calculate the incidence rate with studies with a similar denominator (patient-days), with a result of 8.3 CDI cases per 10 000 patient-days.

Conclusions

Pooled estimates from the currently available literature suggest that C difficile is associated with a large burden on the US health care system. However, these estimates should be used with caution, and higher-quality studies should be completed to guide future evaluations of C difficile prevention and treatment interventions.
  101 in total

1.  Excess Length of Stay Attributable to Clostridium difficile Infection (CDI) in the Acute Care Setting: A Multistate Model.

Authors:  Vanessa W Stevens; Karim Khader; Richard E Nelson; Makoto Jones; Michael A Rubin; Kevin A Brown; Martin E Evans; Tom Greene; Eric Slade; Matthew H Samore
Journal:  Infect Control Hosp Epidemiol       Date:  2015-05-26       Impact factor: 3.254

2.  Impact of change to molecular testing for Clostridium difficile infection on healthcare facility-associated incidence rates.

Authors:  Rebekah W Moehring; Eric T Lofgren; Deverick J Anderson
Journal:  Infect Control Hosp Epidemiol       Date:  2013-08-29       Impact factor: 3.254

Review 3.  Diagnosis and treatment of Clostridium difficile in adults: a systematic review.

Authors:  Natasha Bagdasarian; Krishna Rao; Preeti N Malani
Journal:  JAMA       Date:  2015-01-27       Impact factor: 56.272

4.  How Common-and How Serious- Is Clostridium difficile Colitis After Geriatric Hip Fracture? Findings from the NSQIP Dataset.

Authors:  Patawut Bovonratwet; Daniel D Bohl; Glenn S Russo; Nathaniel T Ondeck; Denis Nam; Craig J Della Valle; Jonathan N Grauer
Journal:  Clin Orthop Relat Res       Date:  2018-03       Impact factor: 4.176

5.  Trend, Risk Factors, and Costs of Clostridium difficile Infections in Vascular Surgery.

Authors:  Natalia N Egorova; Jeffrey J Siracuse; James F McKinsey; Roman Nowygrod
Journal:  Ann Vasc Surg       Date:  2015-01-14       Impact factor: 1.466

6.  Chemotherapy patients with C. difficile colitis have outcomes similar to immunocompetent C. difficile patients.

Authors:  David B Stewart; Emmanuel Yacoub; Junjia Zhu
Journal:  J Gastrointest Surg       Date:  2012-06-13       Impact factor: 3.452

7.  Mortality and Costs in Clostridium difficile Infection Among the Elderly in the United States.

Authors:  Andrew F Shorr; Marya D Zilberberg; Li Wang; Onur Baser; Holly Yu
Journal:  Infect Control Hosp Epidemiol       Date:  2016-08-30       Impact factor: 3.254

8.  Clostridium difficile infection is associated with increased risk of death and prolonged hospitalization in children.

Authors:  Julia Shaklee Sammons; Russell Localio; Rui Xiao; Susan E Coffin; Theoklis Zaoutis
Journal:  Clin Infect Dis       Date:  2013-03-26       Impact factor: 9.079

9.  Economic burden of primary compared with recurrent Clostridium difficile infection in hospitalized patients: a prospective cohort study.

Authors:  D N Shah; S L Aitken; L F Barragan; S Bozorgui; S Goddu; M E Navarro; Y Xie; H L DuPont; K W Garey
Journal:  J Hosp Infect       Date:  2016-04-20       Impact factor: 3.926

10.  Attributable outcomes of endemic Clostridium difficile-associated disease in nonsurgical patients.

Authors:  Erik R Dubberke; Anne M Butler; Kimberly A Reske; Denis Agniel; Margaret A Olsen; Gina D'Angelo; L Clifford McDonald; Victoria J Fraser
Journal:  Emerg Infect Dis       Date:  2008-07       Impact factor: 6.883

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1.  Body mass index and risk of clostridioides difficile infection: a systematic review and meta-analysis.

Authors:  Nipith Charoenngam; Ben Ponvilawan; Jerapas Thongpiya; Pitchaporn Yingchoncharoen; Thanat Chaikijurajai; Natapat Chaisidhivej; Caroline M Apovian; Patompong Ungprasert
Journal:  Infection       Date:  2022-01-05       Impact factor: 3.553

2.  Influence of Binary Toxin Gene Detection and Decreased Susceptibility to Antibiotics among Clostridioides difficile Strains on Disease Severity: a Single-Center Study.

Authors:  Deiziane V S Costa; Natalie V S Pham; Rachel A Hays; David T Bolick; Sophia M Goldbeck; Melinda D Poulter; Sook C Hoang; Jae H Shin; Martin Wu; Cirle A Warren
Journal:  Antimicrob Agents Chemother       Date:  2022-07-21       Impact factor: 5.938

3.  Health care consequences of hospitalization with Clostrioides difficile infection: a propensity score matching study.

Authors:  Bruce E Hirsch; Myia S Williams; Dimitre G Stefanov; Martin L Lesser; Karalyn Pappas; Thomas Iglio; Craig Gordon; Renee Pekmezaris
Journal:  BMC Infect Dis       Date:  2022-07-15       Impact factor: 3.667

Review 4.  Battling Enteropathogenic Clostridia: Phage Therapy for Clostridioides difficile and Clostridium perfringens.

Authors:  Jennifer Venhorst; Jos M B M van der Vossen; Valeria Agamennone
Journal:  Front Microbiol       Date:  2022-06-13       Impact factor: 6.064

5.  Clinical and microbial characterization of toxigenic Clostridium difficile isolated from antibiotic associated diarrhea in Egypt.

Authors:  Sherein G Elgendy; Sherine A Aly; Rawhia Fathy; Enas A E Deaf; Naglaa H Abu Faddan; Muhamad R Abdel Hameed
Journal:  Iran J Microbiol       Date:  2020-08

6.  Immunosuppression and Clostridioides (Clostridium) difficile Infection Risk in Metabolic and Bariatric Surgery Patients.

Authors:  Elisa Morales-Marroquin; Luyu Xie; Madhuri Uppuluri; Jaime P Almandoz; Nestor de la Cruz-Muñoz; Sarah E Messiah
Journal:  J Am Coll Surg       Date:  2021-05-17       Impact factor: 6.532

7.  Did the severe acute respiratory syndrome-coronavirus 2 pandemic cause an endemic Clostridium difficile infection?

Authors:  Camelia Cojocariu; Irina Girleanu; Anca Trifan; Andrei Olteanu; Cristina Maria Muzica; Laura Huiban; Stefan Chiriac; Ana Maria Singeap; Tudor Cuciureanu; Catalin Sfarti; Carol Stanciu
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9.  Cardiolipin-Containing Lipid Membranes Attract the Bacterial Cell Division Protein DivIVA.

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