Comorbidities and laboratory parameters associated with SARS-CoV-2 infection severity in patients from the southeast of Mexico: a cross-sectional study

Abstract

Background. Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) is the etiological agent of the coronavirus disease 2019 (COVID-19) pandemic. Among the risk factors associated with the severity of this disease is the presence of several metabolic disorders. For this reason, the aim of this research was to identify the comorbidities and laboratory parameters among COVID-19 patients admitted to the intensive care unit (ICU), comparing the patients who required invasive mechanical ventilation (IMV) with those who did not require IMV, in order to determine the clinical characteristics associated with the COVID-19 severity. Methods. We carried out a cross-sectional study among 152 patients who were admitted to the ICU from April 1st to July 31st, 2021, in whom the comorbidities and laboratory parameters associated with the SARS-CoV-2 infection severity were identified. The data of these patients was grouped into two main groups: “patients who required IMV” and “patients who did not require IMV”. The nonparametric Mann–Whitney U test for continuous data and the χ2 test for categorical data were used to compare the variables between both groups. Results. Of the 152 COVID-19 patients who were admitted to the ICU, 66 required IMV and 86 did not require IMV. Regarding the comorbidities found in these patients, a higher prevalence of type 2 diabetes mellitus (T2DM), hypertension and obesity was observed among patients who required IMV vs. those who did not require IMV (p<0.05). Concerning laboratory parameters, only glucose, Interleukin 6 (IL-6), lactate dehydrogenase (LDH) and C-reactive protein (CRP) were significantly higher among patients who required IMV than in those who did not require IMV (p<0.05). Conclusion. This study performed in a Mexican population indicates that comorbidities such as: T2DM, hypertension and obesity, as well as elevated levels of glucose, IL-6, LDH and CRP are associated with the COVID-19 severity.

Identification of Biomarkers for Severity in COVID-19 Through Comparative Analysis of Five Machine Learning Algoritms

“…The dataset studied in this research was already made available through De la Cruz-Cano et al 25 Harvard Dataverse: Comorbidities and laboratory parameters associated with SARS-CoV-2 infection severity in patients from the southeast of Mexico: A cross-sectional study. https://doi.org/10.7910/DVN/DFALL683…”

“…This study includes patients diagnosed with COVID-19 according to the World Health Organization (WHO) guidelines for the clinical management of severe acute respiratory infections due to SARS-CoV-2, 24 who were admitted to the Intensive Care Unit (ICU) at the "Dr. Desiderio G. Rosado Carbajal" general hospital in the time period between April 1 st and July 31 st , 2021 in Comalcalco Tabasco, Mexico. The ethical and legal guidelines considered for sampling are described in De la Cruz-Cano et al 25 The dataset has 138 entries that correspond to patients and 60 columns that represent different features. The features encompass a wide range of data, including demographic information, laboratory test results, vital signs, symptoms, preexisting conditions, and the severity of the COVID-19 illness divided into three classes that are considered mild, moderate and severe.…”