دورية أكاديمية

Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription ; Predicción de candidemia en pacientes pediátricos basada en catéter venoso central: Evidencia del mundo real para guiar la prescripción empírica de antimicóticos ; Predição de candidemia em pacientes pediátricos baseada em cateter venoso central: Evidências do mundo real para orientar a prescrição empírica de antifúngicos

التفاصيل البيبلوغرافية
العنوان: Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription ; Predicción de candidemia en pacientes pediátricos basada en catéter venoso central: Evidencia del mundo real para guiar la prescripción empírica de antimicóticos ; Predição de candidemia em pacientes pediátricos baseada em cateter venoso central: Evidências do mundo real para orientar a prescrição empírica de antifúngicos
المؤلفون: Toaldo, Fernanda, Fachi, Mariana Millan, Ricieri, Marinei Campos, Okumura, Lucas Miyake, Motta, Fábio Araújo
المصدر: Research, Society and Development; Vol. 13 No. 4; e0713444508 ; Research, Society and Development; Vol. 13 Núm. 4; e0713444508 ; Research, Society and Development; v. 13 n. 4; e0713444508 ; 2525-3409
بيانات النشر: Research, Society and Development
سنة النشر: 2024
المجموعة: Research, Society and Development (E-Journal)
مصطلحات موضوعية: Candidemia, Antifúngicos, Cateterismo venoso central, Hospitais pediátricos, Antifungal agents, Central venous catheterization, Hospitals, Pediatric, Hospitales pediátricos
الوصف: Background: Candida is one of the main etiological agents of bloodstream nosocomial infections, and is associated with high morbidity/mortality in children. High use of empirical antifungals incurs in higher health care costs and concerns on emergent resistant Candida spp. Therefore, a prediction model should optimize prescribing empirical antifungals in pediatrics. Objective: Based on real-world evidence data, we aimed at assessing how accurate is a regression model for predicting central venous catheter (CVC) candidemia in pediatric patients. We also explored how this prediction model might be useful for prescribing antifungals empirically. Methods: A case-control study was conducted based on 144 patients with positive and negative blood cultures for Candida spp. A model for predicting Candida spp. was developed through univariate and multivariate analyses (logistic regression). Data were reported as odds ratio (OR) and p-value less than 0.05 was considered statistically significant. Results: Candidemia was predicted by the presence of CVC (OR 2.561, p=0.0042). For this model, an area under the curve (AUC) of 0.550 (p=0.314) was estimated, representing the Receiver Operating Characteristic curve of the present study, with a sensitivity of 86% and a specificity of 24%. Conclusion: Our study demonstrated that CVC is a fragile predictor for candidemia, however, its clinical significance and low specificity obtained in the ROC curve suggests that other covariates rather than those investigated should be considered to assess its impact on a prediction model for pediatric patients. ; Introducción: Candida es uno de los principales agentes etiológicos de infecciones nosocomiales del corriente sanguínea, asociada con una elevada morbimortalidad en niños. El alto uso de antifúngicos empíricos conlleva costos elevados para la salud y preocupaciones sobre Candida spp resistente emergente. Por lo tanto, un modelo de predicción debería optimizar la prescripción de antifúngicos empíricos en pediatría. Objetivo: Considerando ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://rsdjournal.org/index.php/rsd/article/view/44508/36217Test; https://rsdjournal.org/index.php/rsd/article/view/44508Test
DOI: 10.33448/rsd-v13i4.44508
الإتاحة: https://doi.org/10.33448/rsd-v13i4.44508Test
https://rsdjournal.org/index.php/rsd/article/view/44508Test
حقوق: Copyright (c) 2024 Fernanda Toaldo; Mariana Millan Fachi; Marinei Campos Ricieri; Lucas Miyake Okumura; Fábio Araújo Motta ; https://creativecommons.org/licenses/by/4.0Test
رقم الانضمام: edsbas.4F7EEE14
قاعدة البيانات: BASE