Unveiling the Unexpected: Why Doctors Should Look Beyond the Lungs When Predicting COVID-19 Mortality

Kidney and Blood Pressure Research

Abstract

Introduction: The main objective of this study was to identify the best combination of admission day parameters for predicting COVID-19 mortality in hospitalized patients. Furthermore, we sought to compare the predictive capacity of pulmonary parameters to that of renal parameters for mortality from COVID-19. Methods: In this retrospective study, all patients admitted to a tertiary hospital between September 1st, 2020 and December 31st, 2020, who were clinically symptomatic and tested positive for COVID-19, were included. We gathered extensive data on patient admissions, including laboratory results, comorbidities, chest X-rays (CXR) images, and SpO2 levels, to determine their role in predicting mortality. Experienced radiologists evaluated the CXR images and assigned a score from 0 to 18 based on the severity of COVID-19 pneumonia. Further, we categorized patients into two independent groups based on their renal function using the RIFLE and KDIGO criteria to define the AKI and CKD groups. The first group (“AKI&CKD”) was subdivided into six sub-groups: normal renal function (A); CKD Grade 2+3a (B); AKI-DROP (C); CKD Grade 3b (D); AKI-RISE (E); and Grade 4+5 CKD (F). The second group was based only on eGFR at the admission and thus it was divided into four grades: Grade 1, Grade 2+3a, Grade 3b, and Grade 4+5. Results: The cohort comprised 619 patients. Patients who died during hospitalization had a significantly higher mean radiological score (8.6 ± 1.5) compared to those who survived (7.1 ± 1.2), with a P-value

The Author(s). Published by S. Karger AG, Basel

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