Evidence map›Paper›PMID 37848858›Full record

ArticleBMC pulmonary medicine2023

Receiver operating characteristic (ROC) to determine cut-off points of clinical and biomolecular markers to discriminate mortality in severe COVID-19 living at high altitude.

Jorge Luis Vélez-Páez, Lucy Baldeón-Rojas, Cristina Cañadas Herrera, Mario Patricio Montalvo, Fernando Esteban Jara, Santiago Aguayo-Moscoso, Wendy Tercero-Martínez, Lenin Saltos, Glenda Jiménez-Alulima, Verónica Guerrero and 1 more

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Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jorge Luis Vélez-Páez *Pablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Lucy Baldeón-Rojas *Faculty of Medical Sciences, Central University of Ecuador, Quito, Ecuador.
Cristina Cañadas HerreraResearch Institute of Biomedicine, Central University of Ecuador, Quito, Ecuador. cmcanadas@uce.edu.ec.
Mario Patricio MontalvoPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Fernando Esteban JaraPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Santiago Aguayo-MoscosoPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Wendy Tercero-MartínezPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Lenin SaltosPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Glenda Jiménez-AlulimaPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Verónica GuerreroPablo Arturo Suarez Hospital, Intensive Care Unit, Clinical Research Center, Quito, Ecuador.
Jorge Pérez-GalarzaFaculty of Medical Sciences, Central University of Ecuador, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2020, Ecuador had one of the highest death rates because of COVID-19. The role of clinical and biomolecular markers in COVID disease prognosis, is still not well supported by available data. In order for these markers to have practical application in clinical decision-making regarding patient treatment and prognosis, it is necessary to know an optimal cut-off point, taking into consideration ethnic differences and geographic conditions.

aimTo determine the value of clinical and biomolecular markers, to predict mortality of patients with severe COVID-19 living at high altitude.

methodsIn this study, receiver operating characteristic (ROC) curves, area under the curve (AUC) of ROC, sensitivity, specificity and likelihood ratios were calculated to determine levels of clinical and biomolecular markers that best differentiate survivors versus non-survivors in severe COVID subjects that live at a high altitude setting.

resultsSelected cut-off values for ferritin (≥ 1225 ng/dl, p = 0.026), IL-6 (≥ 11 pg/ml, p = 0.005) and NLR (≥ 22, p = 0.008) at 24 h, as well as PaFiO2 (≤ 164 mmHg, p = 0.015), NLR (≥ 16, p = p = 0.013) and SOFA (≥ 6, p = 0.031) at 72 h, appear to have good discriminating power to differentiate survivors versus non-survivors. Additionally, odds ratios for ferritin (OR = 3.38); IL-6 (OR = 17.07); PaFiO2 (OR = 4.61); NLR 24 h (OR = 4.95); NLR 72 h (OR = 4.46), and SOFA (OR = 3.77) indicate increased risk of mortality when cut-off points were taken into consideration.

conclusionsWe proposed a straightforward and understandable method to identify dichotomized levels of clinical and biomolecular markers that can discriminate between survivors and non-survivors patients with severe COVID-19 living at high altitudes.

Indexed as

COVID-19AltitudeFerritinsHumansInterleukin-6PrognosisRetrospective StudiesROC CurveFerritinsInterleukin-6Cut-offHigh altitudeInflammatory markersOdds ratioROC curveSevere COVID-19

Identifiers

PMID37848858
PMCPMC10583315

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.