ABSTRACT
Importance: Previous reports have suggested reductions in mortality risk from COVID-19 throughout the first wave of the COVID-19 pandemic. Mortality changes later in the pandemic and pandemic effects on other types of geriatric hospitalizations are less studied. Objectives: To describe the changes in hospitalizations and 30-day mortality in Stockholm for patients 70+ receiving inpatient geriatric care for COVID-19 and other causes. Design: Observational study. For patients 70 or older, we present the incidence of 30-day mortality from COVID-19 in the Stockholm region, in relationship to geriatric hospitalizations and 30-day mortality after admission for COVID-19 and other causes. Setting: Hospitalizations for patients 70+ from geriatric clinics in Stockholm, Sweden hospitalized for COVID-19 or other causes between March 2020 and July 31, 2021, were included. Participants: The total number of geriatric hospitalizations for patients 70+ was 5,320 for COVID-19 and 32,243 for non-COVID-19 causes, corresponding to 4,565 individual COVID-19 patients and 19,308 non-COVID-19 patients. Exposure(s): The date of hospital admission to a geriatric clinic. Main Outcome(s) and Measure(s): 30-day mortality after admission. Results: In patients with COVID-19, the 30-day mortality rate was highest at the beginning of the first wave (29% in March-April 2020), decreased as the first wave subsided (7% July-August), increased again in the second wave (17% November-December), but failed to increase as much in the third wave (11-13% March-July 2021). In non-COVID-19 geriatric patients during the same period, the 30-day mortality presented a similar trend, but with a smaller magnitude of variation (5 to 10%). The number of persons 70 or older testing positive for COVID-19 in Stockholm reached two peaks in 2020 (April and December), fell in January 2021 and then increased again in March-April 2021. Conclusions and Relevance: During the first and second waves, hospital admissions and 30-day mortality after geriatric hospitalization for COVID-19 increased in periods of high community transmission, although the mortality peak was lower in wave 2 than in wave 1. The mortality for non-COVID geriatric cases was lower and more stable but also showed an increase with the pandemic peaks.
Subject(s)
COVID-19ABSTRACT
ABSTRACT Background The Clinical Frailty Scale (CFS) is a strong predictor for worse outcomes in geriatric COVID-19 patients, but it is less clear whether an electronic frailty index (eFI) constructed from routinely collected electronic health records (EHRs) provides similar predictive value. This study aimed to investigate the predictive ability of an eFI in comparison to other frailty and comorbidity measures, using mortality, readmission, and the length of stay as outcomes in geriatric COVID-19 patients. Methods We conducted a retrospective cohort study using EHRs from nine geriatric clinics in Stockholm, Sweden, comprising 3,405 COVID-19 patients (mean age 81.9 years) between 1/3/2020 and 31/10/2021. Frailty was assessed using a 48-item eFI developed for Swedish geriatric patients, the CFS, and Hospital Frailty Risk Score (HFRS). Comorbidity was measured using the Charlson Comorbidity Index (CCI). We analyzed in-hospital mortality and 30-day readmission using logistic regression and area under receiver operating characteristic curve (AUC). 30-day and 6-month mortality were modelled by Cox regression, and the length of stay by linear regression. Results Controlling for age and sex, a 10% increase in the eFI was associated with higher risks of in-hospital mortality (odds ratio [OR]=2.84; 95% confidence interval=2.31-3.51), 30-day mortality (hazard ratio [HR]=2.30; 1.99-2.65), 6-month mortality (HR=2.33; 2.07-2.62), 30-day readmission (OR=1.34; 1.06-1.68), and longer length of stay ( β =2.28; 1.90-2.66). The CFS, HFRS and CCI similarly predicted these outcomes, but the eFI had the best predictive accuracy for in-hospital mortality (AUC=0.775). Conclusions An eFI based on routinely collected EHRs can be applied in identifying high-risk geriatric COVID-19 patients.