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Published on: November 10, 2023
Medium-Term Outcomes in COVID-19
Zaki Akhtar1,2, Sumeet Sharma1, Ahmed I Elbatran2,3
1Department of Cardiology, Ashford and St Peter's Hospitals NHS Trust, Surrey KT16 0PZ, UK.
Insights
COVID-19 survivors face ongoing mortality risks up to one year post-infection. While QT intervals normalize, longer R-R intervals post-COVID predict better survival outcomes.
Area of Science:
- Cardiology
- Infectious Diseases
- Public Health
Background:
- COVID-19 is a severe illness linked to morbidity and mortality.
- Electrocardiographic changes like QT prolongation indicate poor acute outcomes.
- Medium-term outcomes for COVID-19 survivors are not well-documented.
Purpose of the Study:
- To evaluate the 1-year outcomes of patients who survived the acute phase of COVID-19.
- To identify predictors of mortality in the medium-term following COVID-19 infection.
Main Methods:
- Retrospective analysis of 159 COVID-19 survivors from the first wave.
- Comparison of demographic, laboratory, and electrocardiography data between patients who died within 1 year and those who survived.
- Multivariate Cox regression analysis to determine mortality predictors.
Main Results:
- 17.6% of COVID-19 survivors died within 1 year.
- Deceased patients were significantly older than survivors.
- Post-COVID R-R interval was a significant predictor of 1-year mortality, while QTc interval normalized and was not associated with outcomes.
Conclusions:
- Mortality risk associated with COVID-19 extends beyond the acute phase.
- The R-R interval, not the QTc interval, is a key predictor of 1-year mortality post-COVID-19.
- Age and diabetes also independently predict 1-year mortality in COVID-19 survivors.
Abstract:
COVID-19 causes severe illness that results in morbidity and mortality. Electrocardiographic features, including QT prolongation, have been associated with poor acute outcomes; data on the medium-term outcomes remain scarce. This study evaluated the 1-year outcomes of patients who survived the acute COVID-19 infection. Methods and Materials: Data of the 159 patients who survived the COVID-19 illness during the first wave (1 March 2020−18 May 2020) were collected. Patient demographics, laboratory findings and electrocardiography data were evaluated. Patients who subsequently died within 1-year of the index illness were compared to those who remained well. Results: Of the 159 patients who had survived the index illness, 28 (17.6%) subsequently perished within 1-year. In comparison to the patients that were alive after 1-year, the deceased were older (68 vs. 83 years, p < 0.01) and equally male (60.4% vs. 53.6%, p = 0.68), with a similar proportion of hypertension (59.5% vs. 57.1%, p = 0.68), diabetes (25.2% vs. 39.2%, p = 0.096) and ischaemic heart disease (11.5% vs. 7.1%, p = 0.54). The QTc interval for the alive and deceased patients shortened by a similar degree from the illness to post-COVID (−26 ± 33.5 vs. −20.6 ± 30.04 milliseconds, p = 0.5); the post-COVID R-R interval was longer in the alive patients compared to the deceased (818.9 ± 169.3 vs. 761.1 ± 61.2 ms, p = 0.02). A multivariate Cox regression analysis revealed that age (HR1.098 [1.045−1.153], p < 0.01), diabetes (HR3.972 [1.47−10.8], p < 0.01) and the post-COVID R-R interval (HR0.993 [0.989−0.996], p < 0.01) were associated with 1-year mortality. Conclusions: The COVID-19-associated mortality risk extends to the post-COVID period. The QTc does recover following the acute illness and is not associated with outcomes; the R-R interval is a predictor of 1-year mortality.
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