Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies
Descripción del Articulo
Introduction: Early onset neonatal sepsis (EONS), particularly in preterm sepsis, is a potentially fatal issue. Evaluation of mean platelet volume (MPV) as an EONS predictor was the goal. Methods: Four databases were used to conduct a systematic evaluation of cohort and case–control studies. Up till...
Autores: | , , , , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2022 |
Institución: | Universidad Peruana de Ciencias Aplicadas |
Repositorio: | UPC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/668758 |
Enlace del recurso: | http://hdl.handle.net/10757/668758 |
Nivel de acceso: | acceso abierto |
Materia: | early onset sepsis infant mortality mean platelet volume newborn sepsis |
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dc.title.es_PE.fl_str_mv |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
title |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
spellingShingle |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies Toro-Huamanchumo, Carlos J. early onset sepsis infant mortality mean platelet volume newborn sepsis |
title_short |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
title_full |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
title_fullStr |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
title_full_unstemmed |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
title_sort |
Mean Platelet Volume in Neonatal Sepsis: Meta-Analysis of Observational Studies |
author |
Toro-Huamanchumo, Carlos J. |
author_facet |
Toro-Huamanchumo, Carlos J. Cabanillas-Ramirez, Cielo Quispe-Vicuña, Carlos Caballero-Alvarado, Jose A. León-Figueroa, Darwin A. Cruces-Tirado, Nicolás Barboza, Joshuan J. |
author_role |
author |
author2 |
Cabanillas-Ramirez, Cielo Quispe-Vicuña, Carlos Caballero-Alvarado, Jose A. León-Figueroa, Darwin A. Cruces-Tirado, Nicolás Barboza, Joshuan J. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Toro-Huamanchumo, Carlos J. Cabanillas-Ramirez, Cielo Quispe-Vicuña, Carlos Caballero-Alvarado, Jose A. León-Figueroa, Darwin A. Cruces-Tirado, Nicolás Barboza, Joshuan J. |
dc.subject.es_PE.fl_str_mv |
early onset sepsis infant mortality mean platelet volume newborn sepsis |
topic |
early onset sepsis infant mortality mean platelet volume newborn sepsis |
description |
Introduction: Early onset neonatal sepsis (EONS), particularly in preterm sepsis, is a potentially fatal issue. Evaluation of mean platelet volume (MPV) as an EONS predictor was the goal. Methods: Four databases were used to conduct a systematic evaluation of cohort and case–control studies. Up till the end of October 2022, 137 articles were found utilizing the search method. Following the review, 12 studies were included. Leukocytes, MPV, platelets, gender, birth weight, gestational age, mortality, and C-reactive protein (CRP) were all taken into account while analyzing the prediction of EONS. Inverse-variance methodology and the random-effects model were used. Using GRADE, the evidence’s quality was evaluated. Results: Neonatal patients with sepsis had significantly higher MPV levels than do neonates without sepsis (MD 1.26; 95% CI 0.89–1.63; p < 0.001). An increased MPV during the first 24 h postpartum was associated with high CRP values and high risk of neonatal mortality. In the investigations, the MPV cutoff for sepsis patients was 9.95 (SD 0.843). Overall certainty of the evidence was very low. Conclusions: The increased MPV during the first 24 h postpartum may be predictive of EONS and mortality. Future studies are warranted. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-09-25T22:02:01Z |
dc.date.available.none.fl_str_mv |
2023-09-25T22:02:01Z |
dc.date.issued.fl_str_mv |
2022-12-01 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article Other |
format |
article |
dc.identifier.doi.none.fl_str_mv |
10.3390/children9121821 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10757/668758 |
dc.identifier.eissn.none.fl_str_mv |
22279067 |
dc.identifier.journal.es_PE.fl_str_mv |
Children |
dc.identifier.eid.none.fl_str_mv |
2-s2.0-85144653878 |
dc.identifier.scopusid.none.fl_str_mv |
SCOPUS_ID:85144653878 |
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dc.identifier.ror.none.fl_str_mv |
047xrr705 |
identifier_str_mv |
10.3390/children9121821 22279067 Children 2-s2.0-85144653878 SCOPUS_ID:85144653878 0000 0001 2196 144X 047xrr705 |
url |
http://hdl.handle.net/10757/668758 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.url.es_PE.fl_str_mv |
https://www.mdpi.com/2227-9067/9/12/1821 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.es_PE.fl_str_mv |
Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Academico - UPC |
dc.source.none.fl_str_mv |
reponame:UPC-Institucional instname:Universidad Peruana de Ciencias Aplicadas instacron:UPC |
instname_str |
Universidad Peruana de Ciencias Aplicadas |
instacron_str |
UPC |
institution |
UPC |
reponame_str |
UPC-Institucional |
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UPC-Institucional |
dc.source.journaltitle.none.fl_str_mv |
Children |
dc.source.volume.none.fl_str_mv |
9 |
dc.source.issue.none.fl_str_mv |
12 |
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98732ac94178f1b0a743180b23150063500afeb4991ae2ca4a1399950a4b7fb285c500d9e691ea7188eec04d1b7766b2b38df05006a4f1b5807f5cacca1ff350edef7b2873006617b3d5204e8d50cca1fa975c6d234c500916aaf7ab3fb811f1b0432adc9845383300354abc2e6cb5b936c76375d08ce3a13b500Toro-Huamanchumo, Carlos J.Cabanillas-Ramirez, CieloQuispe-Vicuña, CarlosCaballero-Alvarado, Jose A.León-Figueroa, Darwin A.Cruces-Tirado, NicolásBarboza, Joshuan J.2023-09-25T22:02:01Z2023-09-25T22:02:01Z2022-12-0110.3390/children9121821http://hdl.handle.net/10757/66875822279067Children2-s2.0-85144653878SCOPUS_ID:851446538780000 0001 2196 144X047xrr705Introduction: Early onset neonatal sepsis (EONS), particularly in preterm sepsis, is a potentially fatal issue. Evaluation of mean platelet volume (MPV) as an EONS predictor was the goal. Methods: Four databases were used to conduct a systematic evaluation of cohort and case–control studies. Up till the end of October 2022, 137 articles were found utilizing the search method. Following the review, 12 studies were included. Leukocytes, MPV, platelets, gender, birth weight, gestational age, mortality, and C-reactive protein (CRP) were all taken into account while analyzing the prediction of EONS. Inverse-variance methodology and the random-effects model were used. Using GRADE, the evidence’s quality was evaluated. Results: Neonatal patients with sepsis had significantly higher MPV levels than do neonates without sepsis (MD 1.26; 95% CI 0.89–1.63; p < 0.001). An increased MPV during the first 24 h postpartum was associated with high CRP values and high risk of neonatal mortality. In the investigations, the MPV cutoff for sepsis patients was 9.95 (SD 0.843). Overall certainty of the evidence was very low. Conclusions: The increased MPV during the first 24 h postpartum may be predictive of EONS and mortality. 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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).