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BACKGROUNDThe presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.METHODSIn a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and HIV status) and performed serological testing for EBV and CMV using a commercial laboratory. We used covariate-adjusted binary logistic regression models to identify independent associations between variables and LC symptoms.RESULTSWe observed that LC symptoms, such as fatigue and neurocognitive dysfunction, at a median of 4 months following initial diagnosis were independently associated with serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) or high nuclear antigen (EBNA) IgG levels but not with ongoing EBV viremia. Serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) was most strongly associated with fatigue (OR = 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR = 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR = 0.52).CONCLUSIONOverall, these findings suggest differential effects of chronic viral coinfections on the likelihood of developing LC and association with distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted.TRIAL REGISTRATIONLong-term Impact of Infection with Novel Coronavirus; ClinicalTrials.gov NCT04362150.FUNDINGThis work was supported by NIH/National Institute of Allergy and Infectious Diseases grants (3R01AI141003-03S1, R01AI158013, and K24AI145806); the Zuckerberg San Francisco General Hospital Department of Medicine and Division of HIV, Infectious Diseases, and Global Medicine; and the UCSF-Bay Area Center for AIDS Research (P30-AI027763).

Autonomic symptoms and orthostatic syndromes have been reported in Long COVID, but few studies have characterized findings using head up tilt table testing. To characterize autonomic responses to positional changes among individuals with Long COVID. We assessed autonomic symptoms using the Composite Autonomic Symptom Scale 31 (COMPASS 31) instrument and performed head up tilt table testing for 30 minutes at 70 degrees among individuals with Long COVID and recovered comparators. We included 26 participants (median age 56 years, 50% female median 25 months after first COVID): 16 with Long COVID and 10 recovered comparators. COMPASS 31 scores (0-100, higher is worse) were higher among those with Long COVID (median 30.5 vs 8, p = 0.003). Heart rate was 8 beats per minutes higher throughout tilt among those with Long COVID (95% CI 1.1 to 14.4; p = 0.02); there were no differences in blood pressure. Ten (63%) with Long COVID had symptoms during tilt compared to none among recovered participants (p = 0.003). Three (19%) with Long COVID had clinically abnormal findings: one each with orthostatic hypotension, and delayed orthostatic hypotension, and cardioinhibitory/vasovagal presyncope. Among those with chronic autonomic symptoms in the setting of Long COVID, symptoms were common during tilt testing, and heart rate was increased, but most did not meet diagnostic criteria for a clinically abnormal hemodynamic response. Further research into mechanisms of autonomic symptoms in Long COVID is urgently needed.

IntroductionA four-drug regimen of guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) is underused, in part due to prescriber inertia and low patient adherence. Although fixed-dose combination pills (‘polypills’) have improved adherence and clinical outcomes for other conditions, there are no polypills available that combine multiple classes of GDMT for HFrEF. Pharmacy-level over-encapsulation, in which several tablets are combined into one capsule, offers an opportunity to create customised HFrEF polypills with the goal of improving delivery of HFrEF therapies.Methods and analysisIn the COMBO-HF-X pilot crossover randomised clinical trial, we will enrol 30–40 patients with HFrEF in a safety-net public healthcare system in San Francisco, California. Participants will be randomised 1:1 to receive GDMT as individual tablets or as a customised, over-encapsulated HFrEF polypill. After 1 month, participants will cross over to the other formulation (individual tablets or a HFrEF polypill). Participants will attend in-person visits at 0, 4 and 8 weeks. GDMT will be initiated and titrated by study physicians as clinically indicated in accordance with HFrEF treatment guidelines. The primary outcome will be adherence to GDMT by pill count. Key feasibility outcomes will include the successful recruitment of 30–40 participants and completion of study procedures for at least 20 participants. Implementation outcomes will include the cost and time required for HFrEF polypill preparation, which will be performed by a community pharmacy partner. Exploratory clinical outcomes will include change in N-terminal pro-B-type natriuretic peptide (NT-proBNP) level and Kansas City Cardiomyopathy Questionnaire. Acceptability will be assessed through a patient exit survey and semistructured exit interviews with patients, their primary care and cardiology providers, and pharmacy staff.Ethics and disseminationStudy findings will be published in peer-reviewed journals. The protocol of this study was approved by the Institutional Review Board of the University of California, San Francisco. Written informed consent for COMBO-HF-X was obtained from all participants.Trial registration number NCT06029712.

Background Mineralocorticoid receptor antagonists (MRA) are an underutilized therapy for heart failure with a reduced ejection fraction (HFrEF), but the current impact of hospitalization on MRA use is not well characterized. The objective of this study was to describe contemporary MRA prescription for heart failure patients before and after the full scope of hospitalizations and the association between MRA discharge prescription and post-hospitalization outcomes. Methods We conducted a retrospective cohort study at an academic hospital system in 2013–2016. Among 1500 included hospitalizations of 1009 unique patients with HFrEF and without MRA contraindication, the mean age was 71.9 ± 13.6 years and 443 (29.5%) were female. We compared MRA prescription before and after hospitalizations with McNemar’s test and between patients with principal and secondary diagnoses of HFrEF with the chi-square test, and association of MRA discharge prescription with 30-day and 180-day mortality and readmissions using generalized estimating equations. Results MRA prescriptions increased from 303 (20.2%) to 375 (25.0%) at discharge (+4.8%, p  < 0.0001). More patients with principal diagnosis of HFrEF compared to those hospitalized for other reasons received MRA (34.9% versus 21.3%, p  < 0.0001) and had them initiated (21.8% versus 9.7%, p  < 0.0001). MRA prescription at discharge was not associated with mortality or readmission at 30 and 180 days, and there was no interaction with principal/secondary diagnosis. Conclusions Among hospitalized HFrEF patients, 75% did not receive MRA before or after hospitalization, and nearly 90% of eligible patients did not have MRA initiated. As we found no signal for short-term harm after discharge, hospitalization may represent an opportunity to initiate guideline-directed heart failure therapy.

Shortness of breath, chest pain, and palpitations occur as postacute sequelae of COVID-19, but whether symptoms are associated with echocardiographic abnormalities, cardiac biomarkers, or markers of systemic inflammation remains unknown. In a cross-sectional analysis, we assessed symptoms, performed echocardiograms, and measured biomarkers among adults more than 8 weeks after confirmed SARS-CoV-2 infection. We modeled associations between symptoms and baseline characteristics, echocardiographic findings, and biomarkers using logistic regression. We enrolled 102 participants at a median of 7.2 months following COVID-19 onset; 47 individuals reported dyspnea, chest pain, or palpitations. Median age was 52 years, and 41% of participants were women. Female sex, hospitalization, IgG antibody against SARS-CoV-2 receptor binding domain, and C-reactive protein were associated with symptoms. Regarding echocardiographic findings, 4 of 47 participants (9%) with symptoms had pericardial effusions compared with 0 of 55 participants without symptoms; those with effusions had a median of 4 symptoms compared with a median of 1 symptom in those without effusions. There was no strong evidence for a relationship between symptoms and echocardiographic functional parameters or other biomarkers. Among adults more than 8 weeks after SARS-CoV-2 infection, SARS-CoV-2 RBD antibodies, markers of inflammation, and, possibly, pericardial effusions are associated with cardiopulmonary symptoms. Investigation into inflammation as a mechanism underlying postacute sequelae of COVID-19 is warranted.

Reduced exercise capacity is commonly reported among individuals with COVID-19 symptoms more than 3 months after SARS-CoV-2 infection (long COVID-19 [LC]). Cardiopulmonary exercise testing (CPET) is the criterion standard to measure exercise capacity and identify patterns of exertional intolerance. To estimate the difference in exercise capacity among individuals with and without LC symptoms and characterize physiological patterns of limitations to elucidate possible mechanisms of LC. A search of PubMed, EMBASE, Web of Science, preprint servers, conference abstracts, and cited references was performed on December 20, 2021, and again on May 24, 2022. A preprint search of medrxiv.org, biorxiv.org, and researchsquare.com was performed on June 9, 2022. Studies of adults with SARS-CoV-2 infection more than 3 months earlier that included CPET-measured peak oxygen consumption (V̇o2) were screened independently by 2 blinded reviewers; 72 (2%) were selected for full-text review, and 35 (1%) met the inclusion criteria. An additional 3 studies were identified from preprint servers. Data extraction was performed by 2 independent reviewers according to the PRISMA reporting guideline. Data were pooled using random-effects models. Difference in peak V̇o2 (in mL/kg/min) among individuals with and without persistent COVID-19 symptoms more than 3 months after SARS-CoV-2 infection. A total of 38 studies were identified that performed CPET on 2160 individuals 3 to 18 months after SARS-CoV-2 infection, including 1228 with symptoms consistent with LC. Most studies were case series of individuals with LC or cross-sectional assessments within posthospitalization cohorts. Based on a meta-analysis of 9 studies including 464 individuals with LC symptoms and 359 without symptoms, the mean peak V̇o2 was -4.9 (95% CI, -6.4 to -3.4) mL/kg/min among those with symptoms with a low degree of certainty. Deconditioning and peripheral limitations (abnormal oxygen extraction) were common, but dysfunctional breathing and chronotropic incompetence were also described. The existing literature was limited by small sample sizes, selection bias, confounding, and varying symptom definitions and CPET interpretations, resulting in high risk of bias and heterogeneity. The findings of this systematic review and meta-analysis study suggest that exercise capacity was reduced more than 3 months after SARS-CoV-2 infection among individuals with symptoms consistent with LC compared with individuals without LC symptoms, with low confidence. Potential mechanisms for exertional intolerance other than deconditioning include altered autonomic function (eg, chronotropic incompetence, dysfunctional breathing), endothelial dysfunction, and muscular or mitochondrial pathology.

Abstract Background Few prospective studies of Long COVID risk factors have been conducted. The purpose of this study was to determine whether sociodemographic factors, lifestyle, or medical history preceding COVID-19 or characteristics of acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are associated with Long COVID. Methods In March 26, 2020, the COVID-19 Citizen Science study, an online cohort study, began enrolling participants with longitudinal assessment of symptoms before, during, and after SARS-CoV-2 infection. Adult participants who reported a positive SARS-CoV-2 test result before April 4, 2022 were surveyed for Long COVID symptoms. The primary outcome was at least 1 prevalent Long COVID symptom greater than 1 month after acute infection. Exposures of interest included age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, variant wave, number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, and exercise. Results Of 13 305 participants who reported a SARS-CoV-2 positive test, 1480 (11.1%) responded. Respondents’ mean age was 53 and 1017 (69%) were female. Four hundred seventy-six (32.2%) participants reported Long COVID symptoms at a median 360 days after infection. In multivariable models, number of acute symptoms (odds ratio [OR], 1.30 per symptom; 95% confidence interval [CI], 1.20–1.40), lower socioeconomic status/financial insecurity (OR, 1.62; 95% CI, 1.02–2.63), preinfection depression (OR, 1.08; 95% CI, 1.01–1.16), and earlier variants (OR = 0.37 for Omicron compared with ancestral strain; 95% CI, 0.15–0.90) were associated with Long COVID symptoms. Conclusions Variant wave, severity of acute infection, lower socioeconomic status, and pre-existing depression are associated with Long COVID symptoms. Persistent symptoms were highly prevalent and commonly persisted beyond 1 year. Number of symptoms during acute SARS-CoV-2 infection, financial insecurity, pre-existing depression, and earlier variants are associated with Long COVID symptoms independent of vaccination, medical history, and other factors.

Cocaine is an established cardiovascular toxin, but the impact of cocaine use on clinical outcomes in heart failure (HF) remains unknown. Although nonselective β-blocker use in cocaine users with HF and reduced ejection fraction (HFrEF) appears to be safely tolerated, selective β-blockers have not been evaluated. This study aimed to assess whether cocaine use is associated with worse clinical outcomes in patients with HF and evaluate the safety of β-blocker prescription upon discharge in cocaine users with HFrEF. This was a single-center retrospective cohort study of patients with incident HF hospitalization at a safety-net hospital. Primary outcomes included all-cause mortality and readmissions, including HF. Cocaine users were compared with nonusers matched by age, gender, and year of index admission. In cocaine users with HFrEF, outcomes were compared according to β-blocker prescription at discharge. From 2001 to 2019, 738 cocaine users were identified and compared with 738 matched nonusers. Cocaine use was associated with increased mortality (adjusted hazard ratio [HR] 1.21; 95% confidence interval [CI] 1.00 to 1.48) and 90-day readmission (all-cause: adjusted HR 1.49; 95% CI 1.20 to 1.85; HF: adjusted HR 1.49; 95% CI 1.10 to 2.01), persisting at 1 year. In cocaine users who were prescribed metoprolol, carvedilol, or no β-blocker at discharge, the rates of 1-year mortality and 30-day readmission were similar. In conclusion, cocaine use is associated with increased all-cause mortality, HF readmission, and all-cause readmission. Both nonselective and selective β-blocker may be safe in managing patients with HFrEF and cocaine use.

To implement a technology-based, systemwide readmission reduction initiative in a safety-net health system and evaluate clinical, care equity, and financial outcomes. Retrospective interrupted time series analysis between October 2015 and January 2023. The readmission reduction initiative standardized inpatient care for patients through a novel, electronic health record-integrated, digitally automated point-of-care decision-support tool. A predictive artificial intelligence algorithm was utilized to identify patients at the highest risk of readmission in both the inpatient and outpatient settings, allowing a population health team to perform proactive outpatient management in medical and social domains to avoid readmission. Readmission rates declined from 27.9% in the preimplementation period to 23.9% in the postimplementation period ( P  < .004) by the end of 2023. A significant gap in readmission rates between Black/African American patients and the general population was eliminated over the course of the evaluation period. Survival analysis demonstrated a reduction in all-cause mortality in the postimplementation period (HR, 0.82; 95% CI, 0.68-0.99; P  = .037). Improvement in readmission rates allowed the health system to retain $7.2 million of at-risk pay-for-performance funding. This technology-based readmission reduction initiative demonstrated efficacy in reducing readmission rates, closing equity gaps, improving survival, and leading to a positive financial impact in a safety-net health system. This approach could be an effective model of technology-based, value-based care for other resource-limited health systems to meet pay-for-performance metrics and retain at-risk funding while improving clinical and equity outcomes.