Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis

Objective Clostridioides difficile infection (CDI) is a common healthcare-associated infection and associated with high morbidity and mortality. As current guidelines recommend treatment stratified for disease severity, this study aimed to identify predictors of 30-day mortality in order to develop...

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Main Authors: Stefan Hagel, Tony Bruns, Katrin Claudia Katzer, Philipp Alexander Reuken, Andreas Stallmach
Format: Article
Language:English
Published: BMJ Publishing Group 2020-11-01
Series:BMJ Open Gastroenterology
Online Access:https://bmjopengastro.bmj.com/content/7/1/e000468.full
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spelling doaj-1199833c472e4f2bbdbd093fba50b2832021-01-22T06:30:28ZengBMJ Publishing GroupBMJ Open Gastroenterology2054-47742020-11-017110.1136/bmjgast-2020-000468Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitisStefan Hagel0Tony Bruns1Katrin Claudia Katzer2Philipp Alexander Reuken3Andreas Stallmach4Institute for Infectious Diseases and Infection Control, Jena University Hospital, Jena, GermanyDepartment of Medicine III, University Hospital Aachen, Aachen, GermanyDepartment of Internal Medicine IV, Jena University Hospital, Jena, GermanyDepartment of Internal Medicine IV, Jena University Hospital, Jena, GermanyDepartment of Internal Medicine IV, Jena University Hospital, Jena, GermanyObjective Clostridioides difficile infection (CDI) is a common healthcare-associated infection and associated with high morbidity and mortality. As current guidelines recommend treatment stratified for disease severity, this study aimed to identify predictors of 30-day mortality in order to develop a robust prediction model.Design This was a retrospective analysis of 207 inpatients with CDI who were treated at the Jena University Hospital between September 2011 and December 2015. In a training cohort (n=127), predictors of 30-day mortality were identified by receiver operating characteristics analysis and logistic regression. The derived model was validated in an independent cohort of 80 inpatients with CDI.Results Within 30 days, 35 (28%) patients in the training cohort died from any cause. C-reactive protein (CRP) of ≥121 mg/L (OR 3.80; 95% CI 1.64 to 7.80; p=0.003) and lower systolic blood pressure of ≤104 mm Hg (OR 3.73; 95% CI 1.63 to 8.53; p=0.002) at diagnosis as well as development of renal impairment (serum creatinine >1.5×baseline; OR 5.61; 95% CI 1.94 to 16.26; p=0.035) within the first 6 days were associated with 30-day mortality in univariate analysis. The use of these parameters enabled correct mortality prediction in 73% of cases on the day of diagnosis and in 76% at day 6. In the validation cohort, 30-day mortality was 18/80 (23%). Our model enabled a 73.7% correct prediction concerning 30-day mortality on day 6 after diagnosis of CDI.Conclusion Hypotension and CRP elevation on the day of diagnosis as well as occurrence of kidney dysfunction during the first 6 days are suitable parameters to predict 30-day mortality in patients with CDI who need to be treated in the hospital.https://bmjopengastro.bmj.com/content/7/1/e000468.full
collection DOAJ
language English
format Article
sources DOAJ
author Stefan Hagel
Tony Bruns
Katrin Claudia Katzer
Philipp Alexander Reuken
Andreas Stallmach
spellingShingle Stefan Hagel
Tony Bruns
Katrin Claudia Katzer
Philipp Alexander Reuken
Andreas Stallmach
Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
BMJ Open Gastroenterology
author_facet Stefan Hagel
Tony Bruns
Katrin Claudia Katzer
Philipp Alexander Reuken
Andreas Stallmach
author_sort Stefan Hagel
title Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
title_short Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
title_full Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
title_fullStr Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
title_full_unstemmed Development and validation of a simple and robust model to predict 30-day mortality in patients with Clostridioides difficile-associated enterocolitis
title_sort development and validation of a simple and robust model to predict 30-day mortality in patients with clostridioides difficile-associated enterocolitis
publisher BMJ Publishing Group
series BMJ Open Gastroenterology
issn 2054-4774
publishDate 2020-11-01
description Objective Clostridioides difficile infection (CDI) is a common healthcare-associated infection and associated with high morbidity and mortality. As current guidelines recommend treatment stratified for disease severity, this study aimed to identify predictors of 30-day mortality in order to develop a robust prediction model.Design This was a retrospective analysis of 207 inpatients with CDI who were treated at the Jena University Hospital between September 2011 and December 2015. In a training cohort (n=127), predictors of 30-day mortality were identified by receiver operating characteristics analysis and logistic regression. The derived model was validated in an independent cohort of 80 inpatients with CDI.Results Within 30 days, 35 (28%) patients in the training cohort died from any cause. C-reactive protein (CRP) of ≥121 mg/L (OR 3.80; 95% CI 1.64 to 7.80; p=0.003) and lower systolic blood pressure of ≤104 mm Hg (OR 3.73; 95% CI 1.63 to 8.53; p=0.002) at diagnosis as well as development of renal impairment (serum creatinine >1.5×baseline; OR 5.61; 95% CI 1.94 to 16.26; p=0.035) within the first 6 days were associated with 30-day mortality in univariate analysis. The use of these parameters enabled correct mortality prediction in 73% of cases on the day of diagnosis and in 76% at day 6. In the validation cohort, 30-day mortality was 18/80 (23%). Our model enabled a 73.7% correct prediction concerning 30-day mortality on day 6 after diagnosis of CDI.Conclusion Hypotension and CRP elevation on the day of diagnosis as well as occurrence of kidney dysfunction during the first 6 days are suitable parameters to predict 30-day mortality in patients with CDI who need to be treated in the hospital.
url https://bmjopengastro.bmj.com/content/7/1/e000468.full
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