ABSTRACT
AIMS: STRONG-HF examined a high-intensity care (HIC) strategy of rapid up-titration of guideline-directed medical therapy (GDMT) and close follow-up after acute heart failure (AHF) admission. We assess the role of age on efficacy and safety of HIC. METHODS AND RESULTS: Hospitalized AHF patients, not treated with optimal GDMT were randomized to HIC or usual care. The primary endpoint of 180-day death or HF readmission occurred equally in older (>65 years, n = 493, 74 ± 5 years) and younger patients (53 ± 11 years, adjusted hazard ratio [aHR] 1.02, 95% confidence interval [CI] 0.73-1.43, p = 0.89). Older patients received slightly lower GDMT to day 21, but same doses at day 90 and 180. The effect of HIC on the primary endpoint was numerically higher in younger (aHR 0.51, 95% CI 0.32-0.82) than older patients (aHR 0.73, 95% CI 0.46-1.15, adjusted interaction p = 0.30), partially related to COVID-19 deaths. After exclusion of COVID-19 deaths, the effect of HIC was similar in younger (aHR 0.51, 95% CI 0.32-0.82) and older patients (aHR 0.63, 95% CI 0.32-1.02, adjusted interaction p = 0.56), with no treatment-by-age interaction (interaction p = 0.57). HIC induced larger improvements in quality of life to day 90 in younger (EQ-VAS adjusted-mean difference 5.51, 95% CI 3.20-7.82) than in older patients (1.77, 95% CI -0.75 to 4.29, interaction p = 0.032). HIC was associated with similar rates of adverse events in older and younger patients. CONCLUSION: High-intensity care after AHF was safe and resulted in a significant reduction of all-cause death or HF readmission at 180 days across the study age spectrum. Older patients have smaller benefits in terms of quality of life.
ABSTRACT
BACKGROUND: Coronavirus disease 2019 (COVID-19) has emerged as an important cause of morbidity and mortality worldwide. The aim of this study is to identify the clinical predictors of mortality among patients with COVID-19 pneumonia during first and second waves in a treatment center in northwestern Nigeria. METHODS: This was a retrospective cohort study of 195 patients hospitalized with COVID-19 between April 2020 to March 2021 at a designated COVID-19 isolation center in Kano State, Northwest Nigeria. Data were summarized using frequencies and percentages. Unadjusted odds ratios and 95% confidence intervals and p-values were obtained. To determine independent determinants of mortality, we performed a stepwise multivariate logistic regression model. RESULTS: Of 195 patients studied, 21(10.77%) patients died. Males comprised 158 (81.03%) of the study population. In the adjusted stepwise logistic regression analysis, age>64 years (OR = 9.476, 95% CI: 2.181-41.165), second wave of the pandemic (OR = 49.340, 95% CI:6.222-391.247), cardiac complications (OR = 24.984, 95% CI: 3.618-172.508), hypertension (OR = 5.831, 95% CI:1.413-24.065) and lowest systolic blood pressure while on admission greater than or equal to 90mmHg were independent predictors of mortality (OR = 0.111, 95%CI: 0.021-0.581). CONCLUSION: Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.