Mortality Rate of Patients With COVID-19 Based on Underlying Health Conditions

Abstract

Objective: To evaluate the mortality rates of 566,602 patients with coronavirus disease (COVID-19) based on sex, age, and the presence or absence of underlying diseases and determine whether the underlying disease provides prognostic information specifically related to death. Methods: The mortality rate was evaluated using conditional probability to identify the significant factors, and adjusted odds ratios (ORs) using a multivariable logistic regression analysis were estimated. Results: The mortality rate of patients with underlying health conditions was 12%, which was 4 times higher than that of patients without underlying health conditions. Furthermore, the mortality rates of women and men with underlying health conditions were 5.5 and 3.4 times higher than the mortality rates of patients without underlying health conditions, respectively. In a multivariable logistic regression analysis including sex, age, and underlying health conditions, male sex (OR: 1.83), age ≥ 41 years (ORs > 2.70), and underlying health conditions (OR: 2.20) were confirmed as risk factors for death. Conclusions: More attention should be paid to older patients with underlying diseases and male patients with underlying diseases as the probability of death in this population was significantly high.

Identification of a novel immune-inflammatory signature of COVID-19 infections, and evaluation of pharmacokinetics and therapeutic potential of RXn-02, a novel small-molecule derivative of quinolone

“…Similar to other fatal coronaviruses such as the SARS-CoV and MERS-CoV (Middle East respiratory syndrome coronavirus), SARS-CoV-2 activates a cascade of undue immune responses that can lead to multi-organ failure and death [ 5 ]. However, the death rates were reportedly high in old-aged patients and patients suffering from underlying diseases conditions such as high blood pressure, diabetes, cardiovascular disease, and other respiratory diseases [ 6 , 7 ].…”

Coronavirus disease 2019—lessons learnt

“…Reported mortality in pre-OMICRON COVID-19 infection for the general population with no underlying health conditions is 3%. 7 In this study, researchers reported a significant 75% reduction in mortality in the well-controlled diabetic group compared to the poorly controlled diabetes cohort with a mortality of 2.5%. In the context of lessons learnt—we need to refine our criteria for diabetic patients admitted to hospital with COVID-19 infection in the context of the decision to escalate beyond ward-based care—a history of well-controlled disease has the same prognosis as the healthy population.…”

Analysis of daily COVID-19 death bulletin data during the first two waves of the COVID-19 pandemic in Thiruvananthapuram district, Kerala, India

“…COVID-19 patients with underlying diseases are more likely to develop critical illness and progress to death. [ 23 24 25 26 ] The Kerala population is particularly vulnerable because of high prevalence of non-communicable diseases, especially diabetes, and this was reflected in the study. [ 27 ] However, we found increasing deaths among those without any co-morbidities from the first wave to the second wave.…”