Survival Analysis and Contributing Factors among PCR-Confirmed Adult Inpatients during the Endemic Phase of COVID-19

Sex differences in pneumonia risk during COVID-19 in Mexico

This study aimed to evaluate the pneumonia risk based on the patient's sex during the COVID-19 pandemic and the early months of the endemic phase of the disease in Mexico. A retrospective cohort study was conducted using a dataset resulting from the epidemiological surveillance of COVID-19 (February 2020 to August 2023). Data from 1.6 million adults with laboratory-positive disease, were analyzed. Risk ratios (RR) and 95% confidence intervals (CI), computed through generalized linear regression models, were used. The overall risk of pneumonia was 9.3% (95% CI 9.2-9.4%), with sex-specific estimates of 7.0% (95% CI 6.9-7.1%) for women and 12.0% (95% CI 11.9-12.1%) for men. This disparity was consistently observed throughout all phases of the pandemic, including the endemic phase of the disease. After adjusting for age, predominant viral genotype at illness onset and preexisting medical conditions, men had a 3.3% higher risk of severe manifestations when compared to women (RR = 1.033, 95% CI 1.032-1.034). Our research highlights the potential role of patients' sex as a factor influencing pneumonia risk during and after the COVID-19 pandemic in Mexico. These findings may provide useful considerations for healthcare planning and policy development focused on addressing the impact of the disease on vulnerable populations.

Evolution of serious and life-threatening COVID-19 pneumonia as the SARS-CoV-2 pandemic progressed: an observational study of mortality to 60 days after admission to a 15-hospital US health system

OBJECTIVE

In order to predict at hospital admission the prognosis of patients with serious and life-threatening COVID-19 pneumonia, we sought to understand the clinical characteristics of hospitalised patients at admission as the SARS-CoV-2 pandemic progressed, document their changing response to the virus and its variants over time, and identify factors most importantly associated with mortality after hospital admission.

DESIGN

Observational study using a prospective hospital systemwide COVID-19 database.

SETTING

15-hospital US health system.

PARTICIPANTS

26 872 patients admitted with COVID-19 to our Northeast Ohio and Florida hospitals from 1 March 2020 to 1 June 2022.

MAIN OUTCOME MEASURES

60-day mortality (highest risk period) after hospital admission analysed by random survival forests machine learning using demographics, medical history, and COVID-19 vaccination status, and viral variant, symptoms, and routine laboratory test results obtained at hospital admission.

RESULTS

Hospital mortality fell from 11% in March 2020 to 3.7% in March 2022, a 66% decrease (p<0.0001); 60-day mortality fell from 17% in May 2020 to 4.7% in May 2022, a 72% decrease (p<0.0001). Advanced age was the strongest predictor of 60-day mortality, followed by admission laboratory test results. Risk-adjusted 60-day mortality had all patients been admitted in March 2020 was 15% (CI 3.0% to 28%), and had they all been admitted in May 2022, 12% (CI 2.2% to 23%), a 20% decrease (p<0.0001). Dissociation between observed and predicted decrease in mortality was related to temporal change in admission patient profile, particularly in laboratory test results, but not vaccination status or viral variant.

CONCLUSIONS

Hospital mortality from COVID-19 decreased substantially as the pandemic evolved but persisted after hospital discharge, eclipsing hospital mortality by 50% or more. However, after accounting for the many, even subtle, changes across the pandemic in patients' demographics, medical history and particularly admission laboratory results, a patient admitted early in the pandemic and predicted to be at high risk would remain at high risk of mortality if admitted tomorrow.

Wellness Perception of South Korean Elementary School Students during the COVID-19 Endemic

This study aimed to analyze health management awareness among South Korean elementary school students in COVID-19 endemic areas.

METHODS

Using convenience sampling, 675 South Korean elementary school students (age 11-12 years old) were selected as participants in July 2023. Data for the study were collected via online and offline surveys between July and August 2023. The collected data were subjected to frequency, reliability, and multicollinearity analyses, independent sample t-tests, and importance-performance analysis (IPA).

RESULTS

The findings indicated the following: (1) There was no significant difference in health management performance between male and female children. (2) Children who had not experienced COVID-19 infection, had a higher level of "hygiene management" performance. (3) Among children who did not wear masks during physical activity, "mental health management" and "physical activity management" performance were higher, while "hygiene management" performance was lower. (4) The IPA matrix analysis revealed that, compared to the COVID-19 pandemic period, "physical activity management", "dietary habit management", and "sleep management" still required improvement, while "hygiene management" and "disease management" appeared to have decreased due to the relaxation of epidemic control efforts.

CONCLUSION

As per the study's findings, schools, local communities, and families should make efforts to develop and implement preventive and individualized health management programs that consider the individual characteristics of their children.