Laboratory biomarkers associated with COVID-19 mortality among inpatients in a Peruvian referral hospital
© 2024 The Authors. Published by Elsevier Ltd..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
|---|---|
| Enthalten in: |
Heliyon - 10(2024), 6 vom: 30. März, Seite e27251 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Montero, Stephanie [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Biochemical |
|---|
| Anmerkungen: |
Date Revised 20.03.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1016/j.heliyon.2024.e27251 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369906136 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369906136 | ||
| 003 | DE-627 | ||
| 005 | 20240320235019.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240319s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.heliyon.2024.e27251 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1337.xml |
| 035 | |a (DE-627)NLM369906136 | ||
| 035 | |a (NLM)38500972 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Montero, Stephanie |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Laboratory biomarkers associated with COVID-19 mortality among inpatients in a Peruvian referral hospital |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 20.03.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2024 The Authors. Published by Elsevier Ltd. | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Biochemical | |
| 650 | 4 | |a Biomarkers | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Hematological | |
| 650 | 4 | |a SARS-CoV-2 | |
| 700 | 1 | |a Maguiña, Jorge L |e verfasserin |4 aut | |
| 700 | 1 | |a Soto-Becerra, Percy |e verfasserin |4 aut | |
| 700 | 1 | |a Failoc-Rojas, Virgilio E |e verfasserin |4 aut | |
| 700 | 1 | |a Chira-Sosa, Jorge |e verfasserin |4 aut | |
| 700 | 1 | |a Apolaya-Segura, Moisés |e verfasserin |4 aut | |
| 700 | 1 | |a Díaz-Vélez, Cristian |e verfasserin |4 aut | |
| 700 | 1 | |a Tello-Vera, Stalin |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Heliyon |d 2015 |g 10(2024), 6 vom: 30. März, Seite e27251 |w (DE-627)NLM255913095 |x 2405-8440 |7 nnns |
| 773 | 1 | 8 | |g volume:10 |g year:2024 |g number:6 |g day:30 |g month:03 |g pages:e27251 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.heliyon.2024.e27251 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 10 |j 2024 |e 6 |b 30 |c 03 |h e27251 | ||