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Áß±Ô¸ð Á¾ÇÕº´¿ø ´ë»ó Ä«¹ÙÆä³Û ³»¼º Àå³»¼¼±Õ¼Ó±ÕÁ¾(Carbapenem-resistant Enterobacteriaceae) ȹµæÀ§Çè ¿¹Ãø¸ðÇüÀÇ ¿ÜÀûŸ´çµµ Æò°¡

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

Journal of Korean Academy of Nursing 2020³â 50±Ç 4È£ p.621 ~ 630
KMID : 0806120200500040621
¼­¼ö¹Î ( Seo Su-Min ) - Dongeui Medical Center Infection Control Unit

Á¤Àμ÷ ( Jeong Ihn-Sook ) - Pusan National University College of Nursing

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 ¡Ã 15 days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score ¡Ã 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.
KeyWords
Ä«¹ÙÆä³Û³»¼º Àå³»¼¼±Õ¼Ó±ÕÁ¾, Åë°èÀû ¸ðÇü, ÀÏÄ¡, ¹Î°¨µµ¿Í ƯÀ̵µ
Carbapenem-Resistant Enterobacteriaceae, Model, Statistical, Calibration, Sensitivity and Specificity
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