Observational evidence suggests that mask wearing mitigates SARS-CoV-2 transmission. It is uncertain if this observed association arises through protection of uninfected wearers (protective effect), via reduced transmission from infected mask wearers (source control), or both. This randomized controlled trial investigates whether recommending surgical mask use when outside the home reduces wearers' risk for SARS-CoV-2 infection in a setting where masks were uncommon and not among recommended public health measures.
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ObjectiveTo evaluate the association between common biomarkers, death and intensive care unit (ICU) admission in patients with COVID-19.DesignRetrospective cohort study. From electronic national registry data, we used Cox analysis and bootstrapping to evaluate associations between baseline levels of biomarkers and standardised absolute risks of death/ICU admission, adjusted for age and gender.SettingAll hospitals in Denmark.Participants1310 patients aged ≥18 years admitted to hospital with COVID-19 from 27th of February to 1st of May 2020, with available biochemistry data.Main outcome measuresA composite of death/ICU admission occurring within 30 days.ResultsOf the 1310 patients admitted to hospital (54.6% men; median age 73.6 years), 352 (26.9%) experienced the composite endpoint and 263 (20.1%) died. For the composite endpoint, the absolute risks for moderately and severely elevated C reactive protein (CRP) were significantly higher, 21.5% and 39.2%, respectively, compared with 5.0% for those with normal CRP. Moderately and severely elevated leucocytes were significantly higher, 34.5% and 46.6% risk, respectively, compared with 23.2% for those with normal leucocytes. Moderately and severely decreased estimated glomerular filtration rates (eGFR) were significantly higher, 41.5% and 45.9% risk, respectively, compared with 30.4% for those with normal/mildly decreased eGFR. Normal and elevated ureas were significantly higher, 22.3% and 40.6% risk, respectively, compared with 7.3% for those with low urea. Elevated D-dimer was significantly higher, 31.8% risk, compared with 17.5% for those with normal D-dimer. Moderately and severely elevated troponins were significantly higher, 27.7% and 57.3% risk, respectively, compared with 9.4% for those with normal troponin. Elevated procalcitonin was significantly higher, 52.1% risk, compared with 28.0% for those with normal procalcitonin.ConclusionIn this nationwide study of patients admitted with COVID-19, elevated levels of CRP, leucocytes, procalcitonin, urea, troponins and D-dimer, and low levels of eGFR were associated with higher standardised absolute risk of death/ICU admission within 30 days.
Background On 13 March 2020, the Danish authorities imposed extensive nationwide lockdown measures to prevent the spread of the coronavirus disease 2019 (COVID-19) and reallocated limited healthcare resources. We investigated mortality rates, overall and according to location, in patients with established cardiovascular disease before, during, and after these lockdown measures. Methods and results Using Danish nationwide registries, we identified a dynamic cohort comprising all Danish citizens with cardiovascular disease (i.e. a history of ischaemic heart disease, ischaemic stroke, heart failure, atrial fibrillation, or peripheral artery disease) alive on 2 January 2019 and 2020. The cohort was followed from 2 January 2019/2020 until death or 16/15 October 2019/2020. The cohort comprised 340 392 and 347 136 patients with cardiovascular disease in 2019 and 2020, respectively. The overall, in-hospital, and out-of-hospital mortality rate in 2020 before lockdown was significantly lower compared with the same period in 2019 [adjusted incidence rate ratio (IRR) 0.91, 95% confidence interval (CI) CI 0.87–0.95; IRR 0.95, 95% CI 0.89–1.02; and IRR 0.87, 95% CI 0.83–0.93, respectively]. The overall mortality rate during and after lockdown was not significantly different compared with the same period in 2019 (IRR 0.99, 95% CI 0.97–1.02). However, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during and after lockdown compared with the same period in 2019 (in-hospital, IRR 0.92, 95% CI 0.88–0.96; out-of-hospital, IRR 1.04, 95% CI1.01–1.08). These trends were consistent irrespective of sex and age. Conclusions Among patients with established cardiovascular disease, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during lockdown compared with the same period in the preceding year, irrespective of age and sex.
Background Pre-existing cardiovascular diseases (CVDs) have been proposed to identify patients at higher risk of adverse COVID-19 outcomes, but existing evidence is conflicting. Thus, it is unclear whether pre-existing CVDs are independently important predictors for severe COVID-19. Methods and results In a nationwide Danish cohort of hospital-screened COVID-19 patients aged > =40, we investigated if pre-existing CVDs predict the 30-day risk of (1) composite outcome of severe COVID-19 and (2) all-cause mortality. We estimated 30-day risks using a Cox regression model including age, sex, each CVD comorbidity, COPD-asthma, diabetes, and chronic kidney disease. To illustrate CVD comorbidities’ importance, we evaluated the predicted risks of death and severe infection, for each sex, along ages 40 - 85. 4,090 COVID-19 hospital-screened patients were observed as of August 26, 2020; 22.1% had ≥ 1 CVD, 23.7% had severe infection within 30 days and 12.6% died. Predicted risks of both outcomes at age 75 among men with single CVD comorbidities did not differ in clinically meaningful amounts compared to men with no comorbidities risks for the composite outcome of severe infection; women with heart failure (28.2%; 95% CI 21.1%-37.0%) or atrial fibrillation (30.0%; 95% CI: 24.2%-36.9%) showed modest increases compared to women with no comorbidities (24.0%; 95% CI: 21.4%-26.9%). Conclusions The results showing only modest effects of CVDs on increased risks of poor COVID-19 outcomes are important in allowing public health authorities and clinicians to provide more tailored guidance to cardiovascular patients, who have heretofore been grouped together as high-risk due to their disease status.
Carvedilol prescription carried an increased hazard of HF hospitalization and lower restricted mean persistence time among patients with COPD and concurrent HF. Additionally, we found a widespread phenomenon of carvedilol prescription at variance with the European Society of Cardiology guidelines and potential for improving the proportion of patients treated with β-blockers.
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