Long-Term Symptoms Among Adults Tested for SARS-CoV-2 - United States, January 2020-April 2021.

Long-term symptoms often associated with COVID-19 (post-COVID conditions or long COVID) are an emerging public health concern that is not well understood. Prevalence of post-COVID conditions has been reported among persons who have had COVID-19 (range = 5%-80%), with differences possibly related to different study populations, case definitions, and data sources (1). Few studies of post-COVID conditions have comparisons with the general population of adults with negative test results for SARS-CoV-2, the virus that causes COVID-19, limiting ability to assess background symptom prevalence (1). CDC used a nonprobability-based Internet panel established by Porter Novelli Public Services* to administer a survey to a nationwide sample of U.S. adults aged ≥18 years to compare the prevalence of long-term symptoms (those lasting >4 weeks since onset) among persons who self-reported ever receiving a positive SARS-CoV-2 test result with the prevalence of similar symptoms among persons who reported always receiving a negative test result. The weighted prevalence of ever testing positive for SARS-CoV-2 was 22.2% (95% confidence interval [CI] = 20.6%-23.8%). Approximately two thirds of respondents who had received a positive test result experienced long-term symptoms often associated with SARS-CoV-2 infection. Compared with respondents who received a negative test result, those who received a positive test result reported a significantly higher prevalence of any long-term symptom (65.9% versus 42.9%), fatigue (22.5% versus 12.0%), change in sense of smell or taste (17.3% versus 1.7%), shortness of breath (15.5% versus 5.2%), cough (14.5% versus 4.9%), headache (13.8% versus 9.9%), and persistence (>4 weeks) of at least one initially occurring symptom (76.2% versus 69.6%). Compared with respondents who received a negative test result, a larger proportion of those who received a positive test result reported believing that receiving a COVID-19 vaccine made their long-term symptoms better (28.7% versus 15.7%). Efforts to address post-COVID conditions should include helping health care professionals recognize the most common post-COVID conditions and optimize care for patients with persisting symptoms, including messaging on potential benefits of COVID-19 vaccination.

Association of heart failure subtypes and atrial fibrillation: Data from the Atherosclerosis Risk in Communities (ARIC) study.

AIMS: To determine the prevalence and incidence of AF among HF subtypes in a biracial community-based cohort. METHODS: We studied 6496 participants in the Atherosclerosis Risk in Community study (mean age, 75.8 ± 5.3, 59% women, 23% black) who attended the 2011-2013 visit. HF was identified from physician adjudicated diagnosis, hospital discharges, and self-report. HF subtypes were based on echocardiography. A left ventricular ejection fraction <40% represents HF with reduced ejection fraction (HFrEF), 40%-49% for HF with midrange ejection fraction (HFmEF), and ≥ 50% for HF with preserved ejection fraction (HFpEF). AF was ascertained through 2017 from study electrocardiograms, hospital discharges, and death certificates. Confounder-adjusted logistic regression and Cox models were used to estimate associations of HF subtype with prevalent and incident AF. RESULTS: Among eligible participants, 393 had HF (HFpEF = 232, HFmEF = 41, HFrEF = 35 and unclassified HF = 85) and 735 had AF. Compared to those without HF, all HF subtypes were more likely to have prevalent AF [odds ratio (95% confidence interval (CI)) 7.4 (5.6-9.9) for HFpEF, 8.1 (4.3-15.3) for HFmEF, 10.0 (5.0-20.2) for HFrEF, 8.8 (5.6-14.0) for unclassified HF]. Among participants without AF at baseline (n = 5761), 610 of them developed AF. Prevalent HF was associated with increased risk of AF [hazard ratio (95%CI) 2.3 (1.6-3.2) for HFpEF, 5.0 (2.7-9.3) for HFmEF, 3.5 (1.7-7.6) for HFrEF, 1.9 (0.9-3.7) for unclassified HF]. CONCLUSION: AF and HF frequently co-occur, with small differences by HF subtype, underscoring the importance of understanding the interplay of these two epidemics and evaluating shared preventive and therapeutic strategies.

Prevalence and determinants of burnout syndrome among physicians in Cameroon: a research proposal.

OBJECTIVES: Burnout syndrome is a common psychological state, that may affect human healthcare providers due to their prolonged exposure to job stressors. Burnout can hinder optimal healthcare delivery. Hence this study aims to determine the prevalence and correlates of burnout syndrome amongst physicians in Cameroon. Specifically: (1) to determine the prevalence of burnout syndrome amongst Cameroonian doctors. (2) To identify potential determinants of burnout among Cameroonian doctors. (3) To compare the prevalence and determinants of burnout among specialist physicians and general practitioners in Cameroon. RESULTS: This cross-sectional study will include a minimum of 335 doctors working in five regions of Cameroon. Consenting physicians will be consecutively recruited and data on sociodemographic and work characteristics will be collected via a printed self-administered questionnaire and burnout will be assessed using the Maslach Burnout Inventory. Data will be analysed using Epi Info version 7 and a p value < 0.05 will be considered significant. Multivariable logistic regression will be used to identify determinants of burnout syndrome. Physicians' mental health is largely neglected in developing countries like Cameroon. Data from this research will help inform practitioners on the magnitude of the problem and favour the development of policies that improve the mental health of care-providers.