Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/44508 |
Resumo: | 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. |
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Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescriptionPredicción de candidemia en pacientes pediátricos basada en catéter venoso central: Evidencia del mundo real para guiar la prescripción empírica de antimicóticosPredição de candidemia em pacientes pediátricos baseada em cateter venoso central: Evidências do mundo real para orientar a prescrição empírica de antifúngicosCandidemiaAntifúngicosCateterismo venoso centralHospitais pediátricos.CandidemiaAntifungal agentsCentral venous catheterizationHospitals, Pediatric.CandidemiaAntifúngicosCateterismo venoso centralHospitales pediátricos.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 datos de evidencia del mundo real, nuestro objetivo es evaluar la precisión de un modelo de regresión para predecir candidemia por catéter venoso central (CVC) en pediatría. También exploramos cómo este modelo puede ser útil para prescribir antifúngicos empíricamente. Métodos: Se realizó un estudio de caso-control con 144 pacientes com hemocultivos positivos y negativos para Candida spp. Un modelo para predecir Candida spp. se desarrolló mediante análisis univariados y multivariados (regresión logística). Los datos se informaron como odds ratio (OR) y valor de p inferior a 0,05 se consideró estadísticamente significativo. Resultados: La candidemia fue predicha por la presencia de CVC (OR 2.561, p=0.0042). Para este modelo se estimó un área bajo la curva (AUC) de 0,550 (p=0,314), representando la curva de Característica Operativa del Receptor del presente estudio, con sensibilidad del 86% y especificidad del 24%. Conclusión: Nuestro estudio demostró que el CVC es un predictor frágil de candidemia, sin embargo, su significado clínico y la baja especificidad obtenida en la curva ROC sugieren que se deben considerar otras covariables además de las investigadas para evaluar su impacto en un modelo de predicción para pacientes pediátricos.Introdução: A Candida é um dos principais agentes etiológicos das infecções nosocomiais da corrente sanguínea, estando associada a elevada morbimortalidade em crianças. O alto uso de antifúngicos empíricos incorre em custos altos de saúde e preocupações com Candida spp resistente emergente. Portanto, um modelo de predição deve otimizar a prescrição de antifúngicos empíricos em pediatria. Objetivo: Considerando dados de evidências do mundo real, objetivamos avaliar a precisão de um modelo de regressão para prever candidemia por cateter venoso central (CVC) em pediatria. Também exploramos como esse modelo pode ser útil para prescrever antifúngicos empiricamente. Métodos: Foi realizado um estudo caso-controle com 144 pacientes com hemoculturas positivas e negativas para Candida spp. Um modelo para prever Candida spp. foi desenvolvido por meio de análises univariadas e multivariadas (regressão logística). Os dados foram relatados como odds ratio (OR) e valor de p inferior a 0,05 foi considerado estatisticamente significativo. Resultados: Candidemia foi predita pela presença de CVC (OR 2,561, p=0,0042). Para este modelo, estimou-se uma área sob a curva (AUC) de 0,550 (p=0,314), representando a curva Receiver Operating Characteristic do presente estudo, com sensibilidade de 86% e especificidade de 24%. Conclusão: Nosso estudo demonstrou que o CVC é um preditor frágil para candidemia, porém, sua significância clínica e baixa especificidade obtida na curva ROC sugere que outras covariáveis além das investigadas devem ser consideradas para avaliar seu impacto em um modelo de predição para pacientes pediátricos.Research, Society and Development2024-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/4450810.33448/rsd-v13i4.44508Research, Society and Development; Vol. 13 No. 4; e0713444508Research, Society and Development; Vol. 13 Núm. 4; e0713444508Research, Society and Development; v. 13 n. 4; e07134445082525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/44508/36217Copyright (c) 2024 Fernanda Toaldo; Mariana Millan Fachi; Marinei Campos Ricieri; Lucas Miyake Okumura; Fábio Araújo Mottahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessToaldo, FernandaFachi, Mariana Millan Ricieri, Marinei Campos Okumura, Lucas Miyake Motta, Fábio Araújo 2024-04-04T18:36:37Zoai:ojs.pkp.sfu.ca:article/44508Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-04-04T18:36:37Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
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 |
title |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
spellingShingle |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription Toaldo, Fernanda Candidemia Antifúngicos Cateterismo venoso central Hospitais pediátricos. Candidemia Antifungal agents Central venous catheterization Hospitals, Pediatric. Candidemia Antifúngicos Cateterismo venoso central Hospitales pediátricos. |
title_short |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
title_full |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
title_fullStr |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
title_full_unstemmed |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
title_sort |
Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription |
author |
Toaldo, Fernanda |
author_facet |
Toaldo, Fernanda Fachi, Mariana Millan Ricieri, Marinei Campos Okumura, Lucas Miyake Motta, Fábio Araújo |
author_role |
author |
author2 |
Fachi, Mariana Millan Ricieri, Marinei Campos Okumura, Lucas Miyake Motta, Fábio Araújo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Toaldo, Fernanda Fachi, Mariana Millan Ricieri, Marinei Campos Okumura, Lucas Miyake Motta, Fábio Araújo |
dc.subject.por.fl_str_mv |
Candidemia Antifúngicos Cateterismo venoso central Hospitais pediátricos. Candidemia Antifungal agents Central venous catheterization Hospitals, Pediatric. Candidemia Antifúngicos Cateterismo venoso central Hospitales pediátricos. |
topic |
Candidemia Antifúngicos Cateterismo venoso central Hospitais pediátricos. Candidemia Antifungal agents Central venous catheterization Hospitals, Pediatric. Candidemia Antifúngicos Cateterismo venoso central Hospitales pediátricos. |
description |
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. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-04-06 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/44508 10.33448/rsd-v13i4.44508 |
url |
https://rsdjournal.org/index.php/rsd/article/view/44508 |
identifier_str_mv |
10.33448/rsd-v13i4.44508 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/44508/36217 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
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 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052635923087360 |