ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2011
The impact of ICD-9-CM code rank order on the estimated prevalence of Clostridium difficile infections.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Antibiotic Prescribing Choices and Their Comparative C. Difficile Infection Risks: A Longitudinal Case-Cohort Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Trends in Hospitalizations for Clostridioides difficile Infection in End-Stage Liver Disease, 2005-2014.Digestive diseases and sciences · 2021Article
- Direct cost of health care for individuals with community associated Clostridium difficile infections: A population-based cohort study.PloS one · 2019Article
- Evaluating the impact of expanding the number of diagnosis codes reported in inpatient discharge databases on the counts and rates of birth defects.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- The Impact of Bariatric Surgery on Short Term Risk of Clostridium Difficile Admissions.Obesity surgery · 2018Article
- Article
- Epidemiology, outcomes, and predictors of mortality in hospitalized adults with Clostridium difficile infection.Internal and emergency medicine · 2016Article
- The burden of clostridium difficile infection: estimates of the incidence of CDI from U.S. Administrative databases.BMC infectious diseases · 2016Article
- Clostridium difficile associated risk of death score (CARDS): a novel severity score to predict mortality among hospitalised patients with C. difficile infection.Alimentary pharmacology & therapeutics · 2016Article
- The cost-benefit of federal investment in preventing Clostridium difficile infections through the use of a multifaceted infection control and antimicrobial stewardship program.Infection control and hospital epidemiology · 2015Article
- The National Hospital Discharge Survey and Nationwide Inpatient Sample: the databases used affect results in THA research.Clinical orthopaedics and related research · 2014Article
- Incidence and outcomes of Clostridium difficile-associated disease in hematopoietic cell transplant recipients.International journal of hematology · 2014Article
- Multistate point-prevalence survey of health care-associated infections.The New England journal of medicine · 2014Article
- Clostridium difficile infection in patients with chronic kidney disease.Mayo Clinic proceedings · 2012Article
- Clostridium difficile infection in hospitalized liver transplant patients: a nationwide analysis.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2012Article
- Article
- LORD: a phenotype-genotype semantically integrated biomedical data tool to support rare disease diagnosis coding in health information systems.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundUS estimates of the Clostridium difficile infection (CDI) burden have utilized International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes. Whether ICD-9-CM code rank order affects CDI prevalence estimates is important because the National Hospital Discharge Survey (NHDS) and the Nationwide Inpatient Sample (NIS) have varying limits on the number of ICD-9-CM codes collected.
methodsICD-9-CM codes for CDI (008.45), C. difficile toxin assay results, and dates of admission and discharge were collected from electronic hospital databases for adult patients admitted to 4 hospitals in the United States from July 2000 through June 2006. CDI prevalence per 1000 discharges was calculated and compared for NHDS and NIS limits and toxin assay results from the same hospitals. CDI prevalence estimates were compared using the χ(2) test, and the test of equality was used to compare slopes.
resultsCDI prevalence measured by NIS criteria was significantly higher than that measured using NHDS criteria (10.7 cases per 1000 discharges versus 9.4 cases per 1000 discharges; P<.001) in the 4 hospitals. CDI prevalence measured by toxin assay results was 9.4 cases per 1000 discharges (P=.57 versus NHDS). However, the CDI prevalence increased more rapidly over time when measured according to the NHDS criteria than when measured according to toxin assay results (β=1.09 versus 0.84; P=.008).
conclusionsCompared with the NHDS definition, the NIS definition captured 12% more CDI cases and reported significantly higher CDI rates. Rates calculated using toxin assay results were not different from rates calculated using NHDS criteria, but CDI prevalence appeared to increase more rapidly when measured by NHDS criteria than when measured by toxin assay results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.