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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

BACKGROUND: In 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...

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Detalles Bibliográficos
Autores principales: Vélez-Páez, Jorge Luis, Baldeón-Rojas, Lucy, Cañadas Herrera, Cristina, Montalvo, Mario Patricio, Jara, Fernando Esteban, Aguayo-Moscoso, Santiago, Tercero-Martínez, Wendy, Saltos, Lenin, Jiménez-Alulima, Glenda, Guerrero, Verónica, Pérez-Galarza, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583315/
https://www.ncbi.nlm.nih.gov/pubmed/37848858
http://dx.doi.org/10.1186/s12890-023-02691-2
Descripción
Sumario:BACKGROUND: In 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. AIM: To determine the value of clinical and biomolecular markers, to predict mortality of patients with severe COVID-19 living at high altitude. METHODS: In 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. RESULTS: Selected 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. CONCLUSIONS: We 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02691-2.