COVID-19 impact on pulmonary care in rural community - a commentary

A Comparative Study of Deaths Due to the COVID-19 Pandemic During the First and Second Waves in a Tertiary Care Center of a Rural Area in South India

Background The coronavirus disease 2019 (COVID-19) pandemic affected life and livelihood worldwide, including India, with over five million deaths recorded over two years. In the present study, our objective was to analyze the COVID-19 deaths during the first and second waves in relation to demographic factors and comorbid conditions. Methods This was a hospital-based, retrospective comparative study of COVID-19 deaths that occurred in our hospital during the first and second waves of the COVID-19 pandemic. A total of 210 (6.69%) deaths recorded during both waves of the pandemic were analyzed. Microsoft Excel sheets (Microsoft Corporation, Redmond, WA, USA) were used to collect data from the medical records section, and the data were compiled. Descriptive statistics were used and analyzed using SPSS version 21 (IBM Corp., Armonk, NY, USA). Results Out of 3136 inpatients, mortality was 6.69% (n=210). Out of 210 deaths recorded in the study, 34 (2.25%) and 176 (10.7%) were during the first and second waves of the pandemic, respectively. The most common age group affected during the two waves was 50-75 years (67.6% & 47.7%; n=23 & n=84). People from urban (52.9%; n=18) and rural (67%; n=118) backgrounds were affected more during the first and second waves, respectively. Males were affected more (72.8%; n=153) in both waves. Age group (P=0.009) and locality (P=0.026) were statistically significant factors associated with mortality in the two COVID-19 waves. The time interval from admission in the hospital to death was less than seven days in both waves (70.5% & 69.8%; n=24 & n=123). A large number of subjects died after 48 hours of admission during both waves (70% (n=24 & n=124) in each wave). More than half of the subjects who died (52.9% (n=18) & 59% (n=104)) had comorbid conditions in both waves. Diabetes mellitus (17.6%; n=6) and hypertension (23.5%; n=8) were the most common comorbid conditions during the first wave of the pandemic while diabetes mellitus (30.6%; n=54) alone was the most common during the second wave. Conclusion The findings of this study stress the importance of considering demographic factors and geographic locations in understanding the impact of COVID-19, providing valuable inputs for public health interventions and resource allocation in response to similar pandemics.

The impact of a telemedicine intervention on home non-invasive ventilation in a rural population with advanced COPD

INTRODUCTION

Rural regions have unique challenges with the implementation of new therapies upon discharge from the hospital due to multiple barriers.

OBJECTIVES

We investigated the effect of home non-invasive ventilation (NIV) plus the implementation of a call center following hospitalization for acute exacerbations of COPD (chronic obstructive lung disease) on NIV usage and readmissions.

METHODS

In this prospective pilot study, consecutive patients were screened at our institution for diagnosis of hypercarbic respiratory failure or COPD exacerbation from 2018 to 2019. Patients with more than two admissions in the last year were reviewed for eligibility. Of the 82 patients screened, 22 were eligible. There were 10 participants randomized to the intervention (NIV and call center) arm and 10 to NIV alone.

RESULTS

A total of 20 patients were randomized (mean age of 64, 45% males, BMI of 32). At three months, average usage was 32.1 days out of 90, 35%. When comparing the call center group to the standard group, there was a statistically significant difference in total days of device usage 48.7 compared to 15.5 (significant U-value of 16, critical value of U at p<.05 of 27) and cumulative use in hours 284 versus 87.7 (significant U-value of 20). Participants in the call center group were readmitted on average 4.2 times compared to 2.4 in the control group which was not statistically different (non-significant U-value of 42). In the follow-up period, 9/20 (45%) of the participants died.

CONCLUSION

This pilot study highlights the challenges in implementing care for advanced COPD in a rural population. Our data suggest that telemedicine may favorably address therapy adherence.