OBJECTIVE: The purpose of this article is to compare the Charlson comorbidity index derived from a rapid single-day chart review with the same index derived from administrative data to determine how well each predicted inpatient mortality and nosocomial infection. DESIGN: Cross-sectional study. SETTING: The study was conducted in the context of the Swiss Nosocomial Infection Prevalence (SNIP) study in six hospitals, canton of Valais, Switzerland, in 2002 and 2003. PARTICIPANTS: We included 890 adult patients hospitalized from acute care wards. MAIN OUTCOME MEASURES: The Charlson comorbidity index was recorded during one single-day for the SNIP study, and from administrative data (International Classification of Disease, 10th revision codes). Outcomes of interest were hospital mortality and nosocomial infection. RESULTS: Out of 17 comorbidities from the Charlson index, 11 had higher prevalence in administrative data, 4 a lower and two a similar compared with the single-day chart review. Kappa values between both databases ranged from - 0.001 to 0.56. Using logistic regression to predict hospital outcomes, Charlson index derived from administrative data provided a higher C statistic compared with single-day chart review for hospital mortality (C = 0.863 and C = 0.795, respectively) and for nosocomial infection (C = 0.645 and C = 0.614, respectively). CONCLUSIONS: The Charlson index derived from administrative data was superior to the index derived from rapid single-day chart review. We suggest therefore using administrative data, instead of single-day chart review, when assessing comorbidities in the context of the evaluation of nosocomial infections.
OBJECTIVE: The purpose of this article is to compare the Charlson comorbidity index derived from a rapid single-day chart review with the same index derived from administrative data to determine how well each predicted inpatient mortality and nosocomial infection. DESIGN: Cross-sectional study. SETTING: The study was conducted in the context of the Swiss Nosocomial Infection Prevalence (SNIP) study in six hospitals, canton of Valais, Switzerland, in 2002 and 2003. PARTICIPANTS: We included 890 adult patients hospitalized from acute care wards. MAIN OUTCOME MEASURES: The Charlson comorbidity index was recorded during one single-day for the SNIP study, and from administrative data (International Classification of Disease, 10th revision codes). Outcomes of interest were hospital mortality and nosocomial infection. RESULTS: Out of 17 comorbidities from the Charlson index, 11 had higher prevalence in administrative data, 4 a lower and two a similar compared with the single-day chart review. Kappa values between both databases ranged from - 0.001 to 0.56. Using logistic regression to predict hospital outcomes, Charlson index derived from administrative data provided a higher C statistic compared with single-day chart review for hospital mortality (C = 0.863 and C = 0.795, respectively) and for nosocomial infection (C = 0.645 and C = 0.614, respectively). CONCLUSIONS: The Charlson index derived from administrative data was superior to the index derived from rapid single-day chart review. We suggest therefore using administrative data, instead of single-day chart review, when assessing comorbidities in the context of the evaluation of nosocomial infections.
Authors: Jeffrey R Curtis; Tarun Arora; Robert S Matthews; Allison Taylor; David J Becker; Cathleen Colon-Emeric; Meredith L Kilgore; Michael A Morrisey; Kenneth G Saag; Monika M Safford; Amy Warriner; Elizabeth Delzell Journal: J Am Med Dir Assoc Date: 2010-06-30 Impact factor: 4.669
Authors: Richard Ofori-Asenso; Ella Zomer; Ken Lee Chin; Peter Markey; Si Si; Zanfina Ademi; Andrea J Curtis; Sophia Zoungas; Danny Liew Journal: Cardiovasc Diagn Ther Date: 2019-06
Authors: Andrew J Stewardson; Arthur Allignol; Jan Beyersmann; Nicholas Graves; Martin Schumacher; Rodolphe Meyer; Evelina Tacconelli; Giulia De Angelis; Claudio Farina; Fabio Pezzoli; Xavier Bertrand; Houssein Gbaguidi-Haore; Jonathan Edgeworth; Olga Tosas; Jose A Martinez; M Pilar Ayala-Blanco; Angelo Pan; Alessia Zoncada; Charis A Marwick; Dilip Nathwani; Harald Seifert; Nina Hos; Stefan Hagel; Mathias Pletz; Stephan Harbarth Journal: Euro Surveill Date: 2016-08-18