Dataset Information

A Prediction Model Incorporating Peripheral Eosinopenia as a Novel Risk Factor for Death After Hospitalization for Clostridioides difficile Infection.

ABSTRACT:

Background and aims

Clostridioides difficile infection (CDI) is associated with a range of outcomes, and existing prediction models for death among patients with CDI are imprecise. Peripheral eosinopenia has been proposed as a novel risk factor for death among patients with CDI but has not been incorporated into prediction models. This study aimed to develop and validate a prediction model for death among patients hospitalized with CDI that incorporated peripheral eosinopenia.

Methods

Eosinopenia was defined as 0 eosinophils/μL on the soonest peripheral blood drawn within the 48-hour window of the CDI test (before or after). Adults were eligible for the study if they were hospitalized at any one of 3 large, unaffiliated hospital networks, tested positive for CDI by stool polymerase chain reaction, and received appropriate anti-CDI treatment. Patients were followed for all-cause death for up to 30 days.

Results

There were 4518 unique hospitalized adults with CDI included (2142 in the derivation cohort and 2376 in the validation cohort). All-cause 30-day mortality was 9% and 10% in the cohorts. In the validation cohort, the factors most strongly associated with death were eosinopenia (adjusted odds ratio [aOR] 2.49, 95% confidence interval [CI] 1.77-3.50), albumin <3 g/dL (aOR 3.26, 95% CI 2.13-3.49), and creatinine >1.5 mg/dL (aOR 2.55, 95% CI 1.86-3.49). A 6-variable clinical prediction model was developed that improved on existing classification schemes for CDI severity (area under the receiver operating characteristic curve of 0.75 vs 0.68).

Conclusion

Among adults hospitalized with CDI, peripheral eosinopenia was associated with increased risk of all-cause 30-day mortality. A prediction model incorporating peripheral eosinopenia was developed to improve care for hospitalized patients with CDI through risk stratification.

SUBMITTER: Wang Y

PROVIDER: S-EPMC9377641 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

A Prediction Model Incorporating Peripheral Eosinopenia as a Novel Risk Factor for Death After Hospitalization for <i>Clostridioides difficile</i> Infection.

Wang Ying Y Salmasian Hojjat H Schluger Aaron A Gomez-Simmonds Angela A Choy Alexa A Li Jianhua J Axelrad Jordan E JE Freedberg Daniel E DE

Gastro hep advances 20220207 1

<h4>Background and aims</h4><i>Clostridioides difficile</i> infection (CDI) is associated with a range of outcomes, and existing prediction models for death among patients with CDI are imprecise. Peripheral eosinopenia has been proposed as a novel risk factor for death among patients with CDI but has not been incorporated into prediction models. This study aimed to develop and validate a prediction model for death among patients hospitalized with CDI that incorporated peripheral eosinopenia.<h4> ...[more]

PMID: 35974881

Similar Datasets

Project description:ImportanceRecent evidence from an animal model suggests that peripheral loss of eosinophils in Clostridium difficile infection (CDI) is associated with severe disease. The ability to identify high-risk patients with CDI as early as the time of admission could improve outcomes by guiding management decisions.ObjectiveTo construct a model using clinical indices readily available at the time of hospital admission, including peripheral eosinophil counts, to predict inpatient mortality in patients with CDI.Design, setting, and participantsIn a cohort study, a total of 2065 patients admitted for CDI through the emergency department of 2 tertiary referral centers from January 1, 2005, to December 31, 2015, formed a training and a validation cohort. The sample was stratified by admission eosinophil count (0.0 cells/μL or >0.0 cells/μL), and multivariable logistic regression was used to construct a predictive model for inpatient mortality as well as other disease-related outcomes.Main outcomes and measuresInpatient mortality was the primary outcome. Secondary outcomes included the need for a monitored care setting, need for vasopressors, and rates of inpatient colectomy.ResultsOf the 2065 patients in the study, 1092 (52.9%) were women and patients had a mean (SD) age of 63.4 (18.4) years. Those with an undetectable eosinophil count at admission had increased in-hospital mortality in both the training (odds ratio [OR], 2.01; 95% CI, 1.08-3.73; P = .03) and validation (OR, 2.26; 95% CI, 1.33-3.83; P = .002) cohorts in both univariable and multivariable analysis. Undetectable eosinophil counts were also associated with indicators of severe sepsis, such as admission to monitored care settings (OR, 1.40; 95% CI, 1.06-1.86), the need for vasopressors (OR, 2.08; 95% CI, 1.32-3.28), and emergency total colectomy (OR, 2.56; 95% CI, 1.12-5.87). Other significant predictors of mortality at admission included increasing comorbidity burden (for each 1-unit increase: OR, 1.13; 95% CI, 1.05-1.22) and lower systolic blood pressures (for each 1-mm Hg increase: OR, 0.99; 95% CI, 0.98-1.00). In a subgroup analysis of patients presenting without initial tachycardia or hypotension, only patients with undetectable admission eosinophil counts, but not those with an elevated white blood cell count, had significantly increased odds of inpatient mortality (OR, 5.76; 95% CI, 1.99-16.64).Conclusions and relevanceThis study describes a simple, widely available, inexpensive model predicting CDI severity and mortality to identify at-risk patients at the time of admission.