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Laboratory biomarkers associated with COVID-19 mortality among inpatients in a Peruvian referral hospital.
Montero, Stephanie; Maguiña, Jorge L; Soto-Becerra, Percy; Failoc-Rojas, Virgilio E; Chira-Sosa, Jorge; Apolaya-Segura, Moisés; Díaz-Vélez, Cristian; Tello-Vera, Stalin.
Afiliación
  • Montero S; Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru.
  • Maguiña JL; Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru.
  • Soto-Becerra P; Facultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Peru.
  • Failoc-Rojas VE; Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru.
  • Chira-Sosa J; Universidad Continental, Huancayo, Peru.
  • Apolaya-Segura M; Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, ESSALUD, Lima, Peru.
  • Díaz-Vélez C; Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
  • Tello-Vera S; Laboratorio de Biología Molecular, Citometría de flujo y Citogenética, Hospital Nacional Almanzor Aguinaga Asenjo, ESSALUD, Chiclayo, Peru.
Heliyon ; 10(6): e27251, 2024 Mar 30.
Article en En | MEDLINE | ID: mdl-38500972
ABSTRACT

Aim:

To evaluate the biochemical and hematological markers associated with the risk of death due to COVID-19 in a clinical cohort with a severe clinical profile.

Methods:

A retrospective study was conducted among 215 anonymized inpatient records from the Hospital Nacional Almanzor Aguinaga Asenjo, Peru, between April and June 2020. The association between biomarkers and death due to COVID-19 was assessed using Cox regression, with a multivariable modeling of 1) biochemical and 2) hematological markers. Kaplan-Meier analyses and time-dependent receiver operating characteristic curves were calculated for each associated biomarker (p < 0.05).

Results:

Data analysis of 215 inpatient records revealed an overall mortality rate of 51.30% (95% CI 44.70-58.50), a mean age of 63.90 ± 14.10 years, and a median oxygen saturation of 88% (interquartile range 82-92%). The best-fitted biochemical model included higher levels of C-reactive protein (CRP), D-dimer, fibrinogen, urea, and lactate dehydrogenase. Similarly, the best-fitted hematological model included higher absolute neutrophil and prothrombin time, and lower absolute platelet counts. The best area under the curve values in both models were found to be CRP and D-dimer values (>0.74) and the absolute neutrophil count (0.63).

Conclusions:

Some specific biochemical markers outperformed hematological markers. Evaluated hematological counts analyzed in multivariable models proved to be better markers and could be useful to discriminate COVID-19 patients at high risk of death.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Perú Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Heliyon Año: 2024 Tipo del documento: Article País de afiliación: Perú Pais de publicación: Reino Unido