Literature DB >> 32895347

[External Validation of Carbapenem-Resistant Enterobacteriaceae Acquisition Risk Prediction Model in a Medium Sized Hospital].

Su Min Seo1, Ihn Sook Jeong2.   

Abstract

PURPOSE: This study was aimed to evaluate the external validity of a carbapenem-resistant Enterobacteriaceae (CRE) acquisition risk prediction model (the CREP-model) in a medium-sized hospital.
METHODS: This retrospective cohort study included 613 patients (CRE group: 69, no-CRE group: 544) admitted to the intensive care units of a 453-beds secondary referral general hospital from March 1, 2017 to September 30, 2019 in South Korea. The performance of the CREP-model was analyzed with calibration, discrimination, and clinical usefulness.
RESULTS: The results showed that those higher in age had lower presence of multidrug resistant organisms (MDROs), cephalosporin use ≥ 15 days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score ≥ 21 points, and lower CRE acquisition rates than those of CREP-model development subjects. The calibration-in-the-large was 0.12 (95% CI: - 0.16~0.39), while the calibration slope was 0.87 (95% CI: 0.63~1.12), and the concordance statistic was .71 (95% CI: .63~.78). At the predicted risk of .10, the sensitivity, specificity, and correct classification rates were 43.5%, 84.2%, and 79.6%, respectively. The net true positive according to the CREP-model were 3 per 100 subjects. After adjusting the predictors' cutting points, the concordance statistic increased to .84 (95% CI: .79~.89), and the sensitivity and net true positive was improved to 75.4%. and 6 per 100 subjects, respectively.
CONCLUSION: The CREP-model's discrimination and clinical usefulness are low in a medium sized general hospital but are improved after adjusting for the predictors. Therefore, we suggest that institutions should only use the CREP-model after assessing the distribution of the predictors and adjusting their cutting points.
© 2020 Korean Society of Nursing Science.

Entities:  

Keywords:  Calibration; Carbapenem-Resistant Enterobacteriaceae; Model; Sensitivity and Specificity; Statistical

Mesh:

Substances:

Year:  2020        PMID: 32895347     DOI: 10.4040/jkan.20137

Source DB:  PubMed          Journal:  J Korean Acad Nurs        ISSN: 2005-3673            Impact factor:   0.984


  18 in total

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Review 6.  Risk of infection following colonization with carbapenem-resistant Enterobactericeae: A systematic review.

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8.  External validation is necessary in prediction research: a clinical example.

Authors:  S E Bleeker; H A Moll; E W Steyerberg; A R T Donders; G Derksen-Lubsen; D E Grobbee; K G M Moons
Journal:  J Clin Epidemiol       Date:  2003-09       Impact factor: 6.437

Review 9.  Rapid detection of antibiotic-resistant organism carriage for infection prevention.

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10.  Antimicrobial Resistance.

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