Demographics, comorbidities, and laboratory parameters in hospitalized patients with SARS-CoV2 infection at a community hospital in rural Pennsylvania.

INTRODUCTION

Inherent differences as well as health disparities among rural and urban populations warrant further studies focused on the characteristics and outcomes in COVID-19 patients in a rural setting. The aim of this study was to describe these elements in patients infected with SARS-CoV2, hospitalized at a single center in rural Pennsylvania.

METHODS

Patients with SARS-CoV2 infections hospitalized between March-December 2020 were studied. Data were obtained from electronic health records generated reports and was retrospectively analyzed. Patients were classified into three groups according to severity. Distribution of variables was studied among these three groups. Using certain variables, we ran logistic regression analysis to study the odds of death and requirement of mechanical ventilation (MV).

RESULTS

Among 335 hospitalized patients infected with SARS-CoV2, age more than 65 years increased the severity of clinical status and in-hospital mortality. Gender did not affect odds of death nor need for MV. Hypertension was the most common comorbidity, but diabetes mellitus and chronic obstructive pulmonary disease (COPD) increased the risk of death. In terms of laboratory parameters, our data suggests that maximum LDH marginally increased the risk of death and maximum WBC marginally increased the risk of need for MV and death.

CONCLUSION

Through our basic analysis of various characteristics of SARS-CoV2 positive patients admitted in a rural hospital, we have identified certain risk factors associated with severe disease and increased in-hospital mortality. These were found to be largely similar to current literature from studies in urban populations, bolstering the reproducibility and generalizability of existing knowledge. This information lays the foundation for future studies to investigate the role of these factors in morbidity and mortality associated with COVID-19 in depth.