2020
DOI: 10.24875/gmm.20000458
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Utilidad de los índices neutrófilo/linfocito, monocito/linfocito y linfocito/plaqueta para el pronóstico de complicaciones asociadas a COVID-19

Abstract: Introducción: Diversos biomarcadores basados en conteos sanguíneos han sido de utilidad para el pronóstico de los pacientes en estado crítico por COVID-19. Objetivo: Describir la utilidad de los índices neutrófilo/linfocito (INL), monocito/linfocito (IML) y linfocito/plaqueta (IPL) para el pronóstico de la mortalidad y necesidad de soporte ventilatorio por COVID-19. Método: Cohorte retrospectiva de registros clínicos de pacientes con COVID-19 que requirieron atención hospitalaria.

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Cited by 5 publications
(18 citation statements)
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“…The RR for mortality in men younger than 60 years was not significant. However, the magnitude of the association was similar to that found in older subjects (1.53 vs 1.54), and this particular meta-analysis was based only on four studies (10,13,19,22), which probably lacks power to reach definitive conclusions in this subgroup.…”
Section: Resultssupporting
confidence: 60%
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“…The RR for mortality in men younger than 60 years was not significant. However, the magnitude of the association was similar to that found in older subjects (1.53 vs 1.54), and this particular meta-analysis was based only on four studies (10,13,19,22), which probably lacks power to reach definitive conclusions in this subgroup.…”
Section: Resultssupporting
confidence: 60%
“…In this analysis, the magnitude of the association of male sex and COVID-19 severity was similar regardless of age group: the group of patients o50 years old had an RR of 1.37 (95%CI: 1.01 to 1.86; I 2 44%, P for heterogeneity 0.06; 11 studies), the group of patients aged 51-60 years had an RR of 1.32 (95%CI: 1.11 to 1.56; I 2 57%, P for heterogeneity o0.01, 18 studies), and the group of patients aged 460 years had a RR of 1.24 (95%CI: 1.12 to 1.38; I 2 37%, P for heterogeneity 0.08, 14 studies). The quality assessment of the included studies is presented in Supplementary Tables S1 (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22) and S2 (9,10,12,14,15,19,, showing an overall good quality, and no publication bias was identified after inspection of the funnel plot (Supplementary Figure S1).…”
Section: Resultsmentioning
confidence: 99%
“… NLR reflects intensity of inflammation and also indicates a poor prognosis. Ramos-Penafiel et al 2020 67 Death n=54 Alive n=71 13.93 10.56 0.052 - - - - NLR can predicts SARS-CoV-2 infection-associated mortality. Kilercik et al 2021 80 Critical-survivors severe n=23 Critical non-survivors; death n=15 Non-critical mild n=59 Critical-survivors severe=6.2 Critical non-survivors; death=11.4 Non-critical Mild= 2.67 <0.001 3.1 - 54.1 87 NLR is the best time-related marker over the course of the disease, distinguishing non-critical patient group from non-survivor patient group after the 2th-4th day of admission NLR can be used as an indicator to distinguish critical patients from non-critical COVID-19 patients and to predict mortality from COVID-19.…”
Section: Introductionmentioning
confidence: 97%
“… PLR in COVID-19 can assist in the diagnosis of prediction of mortality. Ramos-Peñafiel et al 2020 67 Death n=54 0648 Alive n=71 419 338 0.192 - - - - PLR can predicts SARS-CoV-2 infection-associated mortality. PLR may be used in combination as indicators of the inflammatory and immunological status.…”
Section: Introductionmentioning
confidence: 97%
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