Litcius/Paper detail

Mortality Predictors in Severe COVID-19 Patients from an East European Tertiary Center: A Never-Ending Challenge for a No Happy Ending Pandemic

Amalia-Stefana Timpau, Radu-Ştefan Miftode, Antoniu Octavian Petriş, Irina‐Iuliana Costache, Ionela-Larisa Miftode, Florin Roşu, Dana-Teodora Anton-Păduraru, Daniela Leca, Egidia Miftode

2021Journal of Clinical Medicine24 citationsDOIOpen Access PDF

Abstract

(1) Background: There are limited clinical data in patients from the Eastern European regions hospitalized for a severe form of Coronavirus disease 2019 (COVID-19). This study aims to identify risk factors associated with intra-hospital mortality in patients with COVID-19 severe pneumonia admitted to a tertiary center in Iasi, Romania. (2) Methods: The study is of a unicentric retrospective observational type and includes 150 patients with severe COVID-19 pneumonia divided into two subgroups, survivors and non-survivors. Demographic and clinical parameters, as well as comorbidities, laboratory and imaging investigations upon admission, treatments, and evolution during hospitalization were recorded. First, we sought to identify the risk factors associated with intra-hospital mortality using logistic regression. Secondly, we assessed the correlations between D-Dimer and C-reactive protein and predictors of poor prognosis. (3) Results: The predictors of in-hospital mortality identified in the study are D-dimers >0.5 mg/L (p = 0.002), C-reactive protein >5 mg/L (p = 0.001), and heart rate above 100 beats per minute (p = 0.001). The biomarkers were also significantly correlated the need for mechanical ventilation, admission to intensive care unit, or multiple organ dysfunction syndrome. By area under the curve (AUC) analysis, we noticed that both D-Dimer (AUC 0.741) and C-reactive protein (AUC 0.707) exhibit adequate performance in predicting a poor prognosis in patients with severe viral infection. (4) Conclusions: COVID-19′s outcome is significantly influenced by several laboratory and clinical factors. As mortality induced by severe COVID-19 pneumonia is considerable, the identification of risk factors associated with negative outcome coupled with an early therapeutic approach are of paramount importance, as they may significantly improve the outcome and survival rates.

Topics & Concepts

MedicineIntensive care unitPneumoniaLogistic regressionInternal medicineCoronavirus disease 2019 (COVID-19)Mechanical ventilationRetrospective cohort studyMortality ratePandemicObservational studyTertiary careViral pneumoniaSeverity of illnessArea under the curveAPACHE IIPediatricsEmergency medicineDiseaseInfectious disease (medical specialty)COVID-19 Clinical Research StudiesLong-Term Effects of COVID-19Sepsis Diagnosis and Treatment