Prediction of candidemia in pediatric patients based on central venous catheter: Real world evidence to guide antifungal empirical prescription

Detalhes bibliográficos
Autor(a) principal: Toaldo, Fernanda
Data de Publicação: 2024
Outros Autores: Fachi, Mariana Millan, Ricieri, Marinei Campos, Okumura, Lucas Miyake, Motta, Fábio Araújo
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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spelling 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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