Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

Functional Status in Older Adults following Hospitalization for COVID-19: A Cohort Study

BACKGROUND

Coronavirus disease 2019 (COVID-19) can cause multiple acute complications. This study evaluated the long-term functional status of older patients hospitalized for acute COVID-19.

METHODS

We analyzed data from a multicenter ambispective cohort study on patients aged >60 years who were hospitalized for COVID-19 at two tertiary care hospitals in Argentina. The participants were contacted by telephone between November 2021 and September 2022 to collect data on their functional status. Ordinal logistic regression was used to identify factors associated with functional limitations after discharge.

RESULTS

Among the 374 included patients, 205 (55%) showed functional limitations, including 58 (28%) who died during follow-up. The factors independently associated with functional limitations were low baseline functional status (odds ratio [OR]=9.19; 95% confidence interval [CI], 3.35-25.17) and admission to the intensive care unit (OR=4.41; 95% CI, 2.28-8.53). Men had lower odds of functional impairment (OR=0.55; 95% CI, 0.35-0.86).

CONCLUSION

Older patients had high mortality rates and poor functional status at 2 years post-discharge for COVID-19. Several factors at the time of discharge were associated with a higher risk of functional limitations and can be used to identify patients' long-term needs for support and rehabilitation services.

Scottish Index of Multiple Deprivation (SIMD) indicators as predictors of mortality among patients hospitalised with COVID-19 disease in the Lothian Region, Scotland during the first wave: a cohort study

BACKGROUND

Sars-CoV-2, the causative agent of COVID-19, has led to more than 226,000 deaths in the UK and multiple risk factors for mortality including age, sex and deprivation have been identified. This study aimed to identify which individual indicators of the Scottish Index of Multiple Deprivation (SIMD), an area-based deprivation index, were predictive of mortality.

METHODS

This was a prospective cohort study of anonymised electronic health records of 710 consecutive patients hospitalised with Covid-19 disease between March and June 2020 in the Lothian Region of Southeast Scotland. Data sources included automatically extracted data from national electronic platforms and manually extracted data from individual admission records. Exposure variables of interest were SIMD quintiles and 12 indicators of deprivation deemed clinically relevant selected from the SIMD. Our primary outcome was mortality. Age and sex adjusted univariable and multivariable analyses were used to determine measures of association between exposures of interest and the primary outcome.

RESULTS

After adjusting for age and sex, we found an increased risk of mortality in the more deprived SIMD quintiles 1 and 3 (OR 1.75, CI 0.99-3.08, p = 0.053 and OR 2.17, CI 1.22-3.86, p = 0.009, respectively), but this association was not upheld in our multivariable model containing age, sex, Performance Status and clinical parameters of severity at admission. Of the 12 pre-selected indicators of deprivation, two were associated with greater mortality in our multivariable analysis: income deprivation rate categorised by quartile (Q4 (most deprived): 2.11 (1.20-3.77) p = 0.011)) and greater than expected hospitalisations due to alcohol per SIMD data zone (1.96 (1.28-3.00) p = 0.002)).

CONCLUSIONS

SIMD as an aggregate measure of deprivation was not predictive of mortality in our cohort when other exposure measures were accounted for. However, we identified a two-fold increased risk of mortality in patients residing in areas with greater income-deprivation and/or number of hospitalisations due to alcohol. In areas where aggregate measures fail to capture pockets of deprivation, exploring the impact of specific SIMD indicators may be helpful in targeting resources to residents at risk of poorer outcomes from Covid-19.

Comorbidities, multimorbidity and COVID-19

The influence of comorbidities on COVID-19 outcomes has been recognized since the earliest days of the pandemic. But establishing causality and determining underlying mechanisms and clinical implications has been challenging-owing to the multitude of confounding factors and patient variability. Several distinct pathological mechanisms, not active in every patient, determine health outcomes in the three different phases of COVID-19-from the initial viral replication phase to inflammatory lung injury and post-acute sequelae. Specific comorbidities (and overall multimorbidity) can either exacerbate these pathological mechanisms or reduce the patient's tolerance to organ injury. In this Review, we consider the impact of specific comorbidities, and overall multimorbidity, on the three mechanistically distinct phases of COVID-19, and we discuss the utility of host genetics as a route to causal inference by eliminating many sources of confounding. Continued research into the mechanisms of disease-state interactions will be crucial to inform stratification of therapeutic approaches and improve outcomes for patients.