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Background It is unknown whether Female Community Health Volunteers’ (FCHVs) can counsel for hyperlipidemia in rural Nepal. Methods Using the Health Belief Model, we evaluated FCHV’s knowledge, self-efficacy, and barriers to counsel for hyperlipidemia in two phases eleven months apart among 28 FCHVs from rural mid-Western Nepal. In each phase, we conducted four Focused Group Discussions (FGDs), hyperlipidemia-related training and two similar surveys before and after the training. We used inductive and deductive codes for thematic analysis and descriptive statistics for quantitative analysis. We integrated the results for complementarity and convergence using concurrent embedded design (Qual + quan). Results FCHVs’ mean age was 48 years and 21 out of 28 had worked for > 10 years. We found four themes in FGDs. In Phase 1, despite having interest, FCHVs had limited knowledge and confidence in counseling for hyperlipidemia. However, with sufficient training, they believed they could counsel. In Phase 2, FCHVs conveyed improved knowledge and self-efficacy. They expressed community might be concerned about their expertise, which improved in Phase 2. Quantitatively, FCHVs’ knowledge improved immediately after the initial training, which was stable in Phase 2. Inadequate training was identified less as a barrier in Phase 2, but inadequate time and incentive were identified more often, and community’s perception of FCHVs’ skills remained unchanged. Conclusion FCHVs want to provide hyperlipidemia counseling. Despite our trainings and FCHV’s perceived self-efficacy, knowledge gap persisted. FCHVs’ workload, inadequate incentives and knowledge were important barriers. Balanced workload, regular trainings and adequate incentives are important to engage FCHVs in hyperlipidemia management.

Background Estimating population prevalence and incidence of prior SARS-CoV-2 infection is essential to formulate public health recommendations concerning the COVID-19 pandemic. However, interpreting estimates based on sero-surveillance requires an understanding of the duration of elevated antibodies following SARS-CoV-2 infection, especially in the large number of people with pauci-symptomatic or asymptomatic disease. Methods We examined > 30,000 serology assays for SARS-CoV-2 specific IgG and IgM assays acquired longitudinally in 11,468 adults between April and November 2020 in the COVID-19 Community Research Partnership. Results Among participants with serologic evidence for infection but few or no symptoms or clinical disease, roughly 50% sero-reverted in 30 days of their initial positive test. Sero-reversion occurred more quickly for IgM than IgG and for antibodies targeting nucleocapsid protein compared with spike proteins, but was not associated with age, sex, race/ethnicity, or healthcare worker status. Conclusions The short duration of antibody response suggests that the true population prevalence of prior SARS-CoV-2 infection may be significantly higher than presumed based on earlier sero-surveillance studies. The impact of the large number of minimally symptomatic COVID-19 cases with only a brief antibody response on population immunity remains to be determined.

Background Checkpoint-inhibitor immunotherapies have had a profound effect in the treatment of cancer by inhibiting down-regulation of T-cell response to malignancy. The cardiotoxic potential of these agents was first described in murine models and, more recently, in numerous clinical case reports of pericarditis, myocarditis, pericardial effusion, cardiomyopathy, and new arrhythmias. The objective of our study was to determine the frequency of and associated risk factors for cardiotoxic events in patients treated with immune checkpoint inhibitors. Methods Medical records of patients who underwent immunotherapy with durvalumab, ipilimumab, nivolumab, and pembrolizumab at Wake Forest Baptist Health were reviewed. We collected retrospective data regarding sex, cancer type, age, and cardiovascular disease risk factors and medications. We aimed to identify new diagnoses of heart failure, atrial fibrillation, ventricular fibrillation/tachycardia, myocarditis, and pericarditis after therapy onset. To assess the relationship between CVD risk factors and the number of cardiac events, a multivariate model was applied using generalized linear regression. Incidence rate ratios were calculated for every covariate along with the adjusted P -value. We applied a multivariate model using logistic regression to assess the relationship between CVD risk factors and mortality. Odds ratios were calculated for every covariate along with the adjusted P -value. Adjusted P -values were calculated using multivariable regression adjusting for other covariates. Results Review of 538 medical records revealed the following events: 3 ventricular fibrillation/tachycardia, 12 pericarditis, 11 atrial fibrillation with rapid ventricular rate, 0 myocarditis, 8 heart failure. Significant risk factors included female gender, African American race, and tobacco use with IRR 3.34 (95% CI 1.421, 7.849; P  = 0.006), IRR 3.39 (95% CI 1.141, 10.055; P  = 0.028), and IRR 4.21 (95% CI 1.289, 13.763; P  = 0.017) respectively. Conclusions Our study revealed 34 significant events, most frequent being pericarditis (2.2%) and atrial fibrillation (2.0%) with strongest risk factors being female gender, African American race, and tobacco use. Patients who meet this demographic, particularly those with planned pembrolizumab treatment, may benefit from early referral to a cardio-oncologist. Further investigation is warranted on the relationship between CTLA-4 and PD-L1 expression and cardiac adverse events with ICIs, particularly for these subpopulations.

We characterize the overall incidence and risk factors for breakthrough infection among fully vaccinated participants in the North Carolina COVID-19 Community Research Partnership cohort. Among 15,808 eligible participants, 638 reported a positive SARS-CoV-2 test after vaccination. Factors associated with a lower risk of breakthrough in the time-to-event analysis included older age, prior SARS-CovV-2 infection, higher rates of face mask use, and receipt of a booster vaccination. Higher rates of breakthrough were reported by participants vaccinated with BNT162b2 or Ad26.COV2.S compared to mRNA-1273, in suburban or rural counties compared to urban counties, and during circulation of the Delta and Omicron variants.

Coronavirus Disease-2019 (COVID-19) vaccine acceptance is variable. We surveyed participants in the COVID-19 Community Research Partnership from 17 December 2020 to 13 January 2021 to assess vaccine receptiveness. Vaccine uptake was then monitored until 15 May 2021; 20,232 participants responded to the receptiveness survey with vaccination status accessed in 18,874 participants via daily follow-up surveys (participants not completing daily surveys ≥30 days to 15 May 2021, were excluded). In the initial survey, 4802 (23.8%) were vaccine hesitant. Hesitancy was most apparent in women (Adjusted RR 0.93, p < 0.001), Black Americans (Adjusted RR 1.39, 1.41, 1.31 to non-Hispanic Whites, Other, and Hispanic or Latino, respectively p < 0.001), healthcare workers (Adjusted RR 0.93, p < 0.001), suburbanites (ref. Urban Adjusted RR 0.85, 0.90 to urban and rural dwellers, respectively, p < 0.01), and those previously diagnosed with COVID-19 (RR 1.20, p < 0.01). Those <50 years were also less accepting of vaccination. Subsequent vaccine uptake was 99% in non-hesitant participants. For those who were unsure, preferred not to answer, or answered “no”, vaccination rates were 80% (Adjusted RR 0.86, p < 0.0001), 78% (Adjusted RR 0.83, p < 0.0001), and 52.7% (Adjusted RR 0.65, p < 0.0001), respectively. These findings suggest that initial intent did not correlate with vaccine uptake in our cohort.

The COVID-19 Community Research Partnership is a population-based longitudinal syndromic and sero-surveillance study. The study includes over 17,000 participants from six healthcare systems in North Carolina who submitted over 49,000 serology results. The purpose of this study is to use these serology data to estimate the cumulative proportion of the North Carolina population that has either been infected with SARS-CoV-2 or developed a measurable humoral response to vaccination. Adult community residents were invited to participate in the study between April 2020 and February 2021. Demographic information was collected and daily symptom screen was completed using a secure, HIPAA-compliant, online portal. A portion of participants were mailed kits containing a lateral flow assay to be used in-home to test for presence of anti-SARS-CoV-2 IgM or IgG antibodies. The cumulative proportion of participants who tested positive at least once during the study was estimated. A standard Cox proportional hazards model was constructed to illustrate the probability of seroconversion over time up to December 20, 2020 (before vaccines available). A separate analysis was performed to describe the influence of vaccines through February 15, 2021. 17,688 participants contributed at least one serology result. 68.7% of the population were female, and 72.2% were between 18 and 59 years of age. The average number of serology results submitted per participant was 3.0 (±1.9). By December 20, 2020, the overall probability of seropositivity in the CCRP population was 32.6%. By February 15, 2021 the probability among healthcare workers and non-healthcare workers was 83% and 49%, respectively. An inflection upward in the probability of seropositivity was demonstrated around the end of December, suggesting an influence of vaccinations, especially for healthcare workers. Among healthcare workers, those in the oldest age category (60+ years) were 38% less likely to have seroconverted by February 15, 2021. Results of this study suggest more North Carolina residents may have been infected with SARS-CoV-2 than the number of documented cases as determined by positive RNA or antigen tests. The influence of vaccinations on seropositivity among North Carolina residents is also demonstrated. Additional research is needed to fully characterize the impact of seropositivity on immunity and the ultimate course of the pandemic.

The prevalence and incidence of SARS-CoV-2, the virus which causes COVID-19, at any given time remains controversial, and is an essential piece in understanding the dynamics of the epidemic. Cross-sectional studies and single time point testing approaches continue to struggle with appropriate adjustment methods for the high false positive rates in low prevalence settings or high false negative rates in high prevalence settings, and post-hoc adjustment at the group level does not fully address this issue for incidence even at the population level.In this study, we use seroprevalence as an illustrative example of the benefits of using a case definition using a combined parallel and serial testing framework to confirm antibody-positive status. In a simulation study, we show that our proposed approach reduces bias and improves positive and negative predictive value across the range of prevalence compared with cross-sectional testing even with gold standard tests and post-hoc adjustment. Using data from the North Carolina COVID-19 Community Research Partnership, we applied the proposed case definition to the estimation of SARS-CoV-2 seroprevalence and incidence early in the pandemic.The proposed approach is not always feasible given the cost and time required to administer repeated tests; however, it reduces bias in both low and high prevalence settings and addresses misclassification at the individual level. This approach can be applied to almost all testing contexts and platforms.This systematic approach offers better estimation of both prevalence and incidence, which is important to improve understanding and facilitate controlling the pandemic.

The clinical and biochemical profile of differing Left ventricular hypertrophy phenotypes and its effect on long-term outcomes is ill-defined. The study investigated the differences in risk profiles and prognostic effect of concentric (CH) and eccentric hypertrophy (EH) on long-term adverse outcomes in a contemporary, ethnically diverse cohort. We analyzed follow-up data over 15 years from the Multiethnic Study of Atherosclerosis study. A total of 4,979 participants with cardiac magnetic resonance performed at baseline enrollment were included. Descriptive statistics, Kaplan-Meier curves, and regression models were applied. Independent variables associated with CH were black and Hispanic race/ethnicity, systolic blood pressure, and metabolic syndrome. Independent variables associated with EH were systolic blood pressure and urine creatinine, whereas serum creatinine had an inverse association. The primary end point of all-cause death (n = 1,137, 22.8%) occurred in 21.7%, 47.4%, and 56.6% of participants with no, CH, or EH, respectively (p- < 0.001). Age (hazard ratio [HR] per year = 1.10 [1.09 to 1.11], p <0.001), male gender (HR = 1.48 [1.29 to 1.69], p <0.001), black race (HR = 1.17 [1.005 to 1.36], p = 0.04), fasting glucose (HR = 1.005 [1.003 to 1.007], p <0.001), baseline creatinine (HR per mg/100 ml = 1.29 [1.15 to 1.46], p <0.001), left ventricular ejection fraction (HR per 1% = 0.98 [0.98 to 0.99], p = 0.005), IL-6 (HR per pg/ml = 1.17 [1.12 to 1.22], p <0.001), CH (HR = 1.84 [1.41 to 2.41], p <0.001), and EH (HR = 2.58 [1.77 to 3.76], p <0.001) were significant predictors of all-cause mortality. In conclusion, CH and EH are 2 distinct clinical phenotypes of left ventricular hypertrophy with differing gender and racial predisposition, both of which are associated with worse long-term adverse outcomes.