Experiences of participants in a decentralized antiretroviral therapy program in South Africa during the COVID-19 pandemic.

The COVID-19 pandemic and associated restrictions could adversely affect long-term HIV care. We evaluated the experiences of people receiving antiretroviral therapy (ART) through a decentralized delivery program in South Africa during the COVID-19 pandemic. We telephoned a random subsample of participants enrolled in a prospective cohort study in KwaZulu-Natal in April and May 2020 and administered a semi-structured telephone interview to consenting participants. We completed interviews with 303 of 638 contacted participants (47%); 66% were female, with median age 36y. The most common concerns regarding the COVID-19 pandemic were food running out (121, 40%), fear of becoming infected with COVID-19 (103, 34%), and being unable to work/losing employment or income (102, 34%). Twenty-five (8%) participants had delayed ART pick-up due to the pandemic, while 212 (70%) had new concerns about ART access going forward. Mental health scores were worse during the pandemic compared to baseline (median score 65.0 vs 80.0, p < 0.001). Decentralized ART distribution systems have the potential to support patients outside of health facilities during the COVID-19 pandemic, but economic concerns and mental health impacts related to the pandemic must also be recognized and addressed.

Urban Sexual Health Clinic Patients With "Undetermined Risk" for HIV Are Less Likely to Receive Preexposure Prophylaxis.

BACKGROUND: New diagnoses of HIV increasingly occur among people who fall outside traditional transmission risk categories. This group remains poorly defined, and HIV prevention efforts for this group lag behind efforts for patients in other risk groups. METHODS: We conducted a retrospective review of patient visits at sexual health clinics in Boston, MA, over a 14-month period. Patients were classified into Centers for Disease Control and Prevention-defined HIV transmission risk categories. We compared frequencies of sexually transmitted infections (STIs), HIV, preexposure prophylaxis (PrEP) indications, and PrEP prescriptions. Predictors of HIV or STI among patients in the undetermined risk category were assessed with logistic regression. RESULTS: There were 4723 clinic visits during the study period. Patients in the undetermined risk group constituted the largest proportion (55.8%), followed by men who have sex with men (MSM; 42.7%). The proportion of visits by patients in the undetermined risk group with an indication for PrEP was low (28.0%) compared with MSM (91.3%) and MSM who also inject drugs (93.8%); however, the absolute number was high (737). Among patients with an indication for PrEP, those in the undetermined risk group were least likely to receive a prescription. Behavioral risk factors were poorly predictive of STI or HIV among patients in the undetermined risk group. CONCLUSIONS: Patients with undetermined risk for HIV constituted a large proportion of clinic visits and had a large volume of sexual health needs but rarely received PrEP when indicated. To end the HIV epidemic in the United States, prevention efforts must include people who fall outside traditional risk categories.

Medical Mistrust and Stigma Associated with COVID-19 Among People Living with HIV in South Africa.

We evaluated COVID-19 stigma and medical mistrust among people living with HIV in South Africa. We conducted telephone interviews with participants in a prospective study of a decentralized antiretroviral therapy program. Scales assessing medical mistrust, conspiracy beliefs, anticipated and internalized stigma, and stereotypes specific to COVID-19 were adapted primarily from the HIV literature, with higher scores indicating more stigma or mistrust. Among 303 participants, the median stigma summary score was 4 [interquartile range (IQR) 0-8; possible range 0-24] and 6 (IQR 2-9) for mistrust (possible range 0-28). A substantial proportion of participants agreed or strongly agreed with at least one item assessing stigma (54%) or mistrust (43%). Higher COVID-19 stigma was associated with female gender and antecedent HIV stigma, and lower stigma with reporting television as a source of information on COVID-19. Further efforts should focus on effects of stigma and mistrust on protective health behaviors and vaccine hesitancy.

Dehydration Status Predicts Short-Term and Long-Term Outcomes in Patients with Cerebral Venous Thrombosis.

BACKGROUND: Dehydration is associated with a higher risk of poor outcome and venous thromboembolism in acute ischemic stroke patients. However, the relationship between dehydration and prognosis in patients with cerebral venous thrombosis (CVT) has not yet been investigated. METHODS: Consecutive CVT patients at the First Affiliated Hospital of Zhengzhou University were retrospectively identified from November 2011 through January 2017. Dehydration was evaluated by blood urea/creatinine (U/Cr) ratio > 80. Poor functional outcome was defined as modified Rankin Scale (mRS) of 3-6. Factors such as age, sex, coma, intracerebral hemorrhage, and straight sinus and/or deep CVT involved were adjusted to assess the relationship between dehydration, and prognosis at discharge and long-term follow-up in CVT patients. RESULTS: A total of 220 CVT patients were included, and 85 patients (38.64%) were dehydrated. Multivariate logistic regression analysis indicated that patients with dehydration had a higher risk of mRS of 3-6 at discharge (adjusted odds ratio [OR] 3.629, 95% confidence intervals [CI] 1.526-8.633, P = 0.004) and long-term outcome (adjusted OR 3.831, 95% CI 1.597-9.190, P = 0.003). Subgroup analysis stratified by potential factors that might be associated with dehydration, such as infection, vomiting, pregnancy, and/or postpartum, showed similar results. Multivariate Cox regression analysis further demonstrated that dehydration was associated with higher mortality (adjusted hazard ratio [HR] = 2.301, 95% CI 1.025-5.166, P = 0.043). CONCLUSIONS: The present findings indicate that dehydration is an independent predictor for short-term and long-term unfavorable functional outcome in patients with CVT.

Self-Perception of HIV Risk and Interest in Pre-Exposure Prophylaxis in a General Obstetrics and Gynecology Clinic Population.

Background: Pre-exposure prophylaxis (PrEP) for HIV is underutilized, particularly among attendees of obstetrics and gynecology (Ob/Gyn) clinics. Lack of self-perception of HIV risk is a barrier to PrEP utilization, and a lack of understanding of community risk factors for HIV may contribute to that lack of self-perception of risk. Methods: Attendees of general Ob/Gyn clinics in New Orleans completed a survey assessing HIV knowledge, self-perception of HIV risk, and interest in PrEP. They reviewed a brief written educational intervention on demographic and behavioral risk factors for HIV and availability of PrEP. HIV knowledge, self-perception of HIV risk, and interest in PrEP were reassessed after the intervention. Results: One-hundred seventy individuals completed the survey. Eighty-five participants (50%) expressed initial interest in PrEP. Self-perception of risk of HIV acquisition was associated with interest in PrEP. Ten of 11 (90.9%) respondents who had high self-perceived risk of HIV were interested in PrEP, compared with 75 of 159 (47.2%) of those who had low self-perceived risk (p = 0.01). The association remained significant in a multivariate analysis. After the intervention, the number of those who perceived themselves to be at risk of HIV increased from 11 to 25 individuals (p < 0.01) and 20 of these (80%) were interested in PrEP. Knowledge of HIV risk factors increased (p < 0.01). The intervention did not significantly alter interest in PrEP. Conclusions: Self-perception of HIV risk was associated with interest in PrEP. A brief written educational intervention increased knowledge of HIV risk factors and increased self-perception of risk of HIV. The intervention did not translate to increased interest in PrEP.

Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis.

OBJECTIVES: Convenience sampling is an imperfect but important tool for seroprevalence studies. For COVID-19, local geographic variation in cases or vaccination can confound studies that rely on the geographically skewed recruitment inherent to convenience sampling. The objectives of this study were: (1) quantifying how geographically skewed recruitment influences SARS-CoV-2 seroprevalence estimates obtained via convenience sampling and (2) developing new methods that employ Global Positioning System (GPS)-derived foot traffic data to measure and minimise bias and uncertainty due to geographically skewed recruitment. DESIGN: We used data from a local convenience-sampled seroprevalence study to map the geographic distribution of study participants' reported home locations and compared this to the geographic distribution of reported COVID-19 cases across the study catchment area. Using a numerical simulation, we quantified bias and uncertainty in SARS-CoV-2 seroprevalence estimates obtained using different geographically skewed recruitment scenarios. We employed GPS-derived foot traffic data to estimate the geographic distribution of participants for different recruitment locations and used this data to identify recruitment locations that minimise bias and uncertainty in resulting seroprevalence estimates. RESULTS: The geographic distribution of participants in convenience-sampled seroprevalence surveys can be strongly skewed towards individuals living near the study recruitment location. Uncertainty in seroprevalence estimates increased when neighbourhoods with higher disease burden or larger populations were undersampled. Failure to account for undersampling or oversampling across neighbourhoods also resulted in biased seroprevalence estimates. GPS-derived foot traffic data correlated with the geographic distribution of serosurveillance study participants. CONCLUSIONS: Local geographic variation in seropositivity is an important concern in SARS-CoV-2 serosurveillance studies that rely on geographically skewed recruitment strategies. Using GPS-derived foot traffic data to select recruitment sites and recording participants' home locations can improve study design and interpretation.

Uptake of community- versus clinic-based antiretroviral therapy dispensing in the Central Chronic Medication Dispensing and Distribution program in South Africa.

INTRODUCTION: South Africa's government-led Central Chronic Medication Dispensing and Distribution (CCMDD) program offers people living with HIV the option to collect antiretroviral therapy at their choice of community- or clinic-based pick-up points intended to increase convenience and decongest clinics. To understand CCMDD pick-up point use among people living with HIV, we evaluated factors associated with uptake of a community- versus clinic-based pick-up point at CCMDD enrolment. METHODS: We collected baseline data from October 2018 to March 2020 on adults (≥18 years) who met CCMDD clinical eligibility criteria (non-pregnant, on antiretroviral therapy for ≥1 year and virologically suppressed) as part of an observational cohort in seven public clinics in KwaZulu-Natal. We identified factors associated with community-based pick-up point uptake and fit a multivariable logistic regression model, including age, gender, employment status, self-perceived barriers to care, self-efficacy, HIV-related discrimination, and perceived benefits and challenges of CCMDD. RESULTS AND DISCUSSION: Among 1521 participants, 67% were females, with median age 36 years (IQR 30-44). Uptake of a community-based pick-up point was associated with younger age (aOR 1.18 per 10-year decrease, 95% CI 1.05-1.33), being employed ≥40 hours per week (aOR 1.42, 95% CI 1.10-1.83) versus being unemployed, no self-perceived barriers to care (aOR 1.42, 95% CI 1.09-1.86) and scoring between 36 and 39 (aOR 1.44, 95% CI 1.03-2.01) or 40 (aOR 1.91, 95% CI 1.39-2.63) versus 10-35 on the self-efficacy scale, where higher scores indicate greater self-efficacy. Additional factors included more convenient pick-up point location (aOR 2.32, 95% CI 1.77-3.04) or hours (aOR 5.09, 95% CI 3.71-6.98) as perceived benefits of CCMDD, and lack of in-clinic follow-up after a missed collection date as a perceived challenge of CCMDD (aOR 4.37, 95% CI 2.30-8.31). CONCLUSIONS: Uptake of community-based pick-up was associated with younger age, full-time employment, and systemic and structural factors of living with HIV (no self-perceived barriers to care and high self-efficacy), as well as perceptions of CCMDD (convenient pick-up point location and hours, lack of in-clinic follow-up). Strategies to facilitate community-based pick-up point uptake should be tailored to patients' age, employment, self-perceived barriers to care and self-efficacy to maximize the impact of CCMDD in decongesting clinics.

Recruitment location influences bias and uncertainty in SARS-CoV-2 seroprevalence estimates.

The initial phase of the COVID-19 pandemic in the US was marked by limited diagnostic testing, resulting in the need for seroprevalence studies to estimate cumulative incidence and define epidemic dynamics. In lieu of systematic representational surveillance, venue-based sampling was often used to rapidly estimate a community's seroprevalence. However, biases and uncertainty due to site selection and use of convenience samples are poorly understood. Using data from a SARS-CoV-2 serosurveillance study we performed in Somerville, Massachusetts, we found that the uncertainty in seroprevalence estimates depends on how well sampling intensity matches the known or expected geographic distribution of seropositive individuals in the study area. We use GPS-estimated foot traffic to measure and account for these sources of bias. Our results demonstrated that study-site selection informed by mobility patterns can markedly improve seroprevalence estimates. Such data should be used in the design and interpretation of venue-based serosurveillance studies.

Diabetes as a Risk Factor for Poor Early Outcomes in Patients Hospitalized With COVID-19.

OBJECTIVE: Diabetes and obesity are highly prevalent among hospitalized patients with coronavirus disease 2019 (COVID-19), but little is known about their contributions to early COVID-19 outcomes. We tested the hypothesis that diabetes is a risk factor for poor early outcomes, after adjustment for obesity, among a cohort of patients hospitalized with COVID-19. RESEARCH DESIGN AND METHODS: We used data from the Massachusetts General Hospital (MGH) COVID-19 Data Registry of patients hospitalized with COVID-19 between 11 March 2020 and 30 April 2020. Primary outcomes were admission to the intensive care unit (ICU), need for mechanical ventilation, and death within 14 days of presentation to care. Logistic regression models were adjusted for demographic characteristics, obesity, and relevant comorbidities. RESULTS: Among 450 patients, 178 (39.6%) had diabetes-mostly type 2 diabetes. Among patients with diabetes versus patients without diabetes, a higher proportion was admitted to the ICU (42.1% vs. 29.8%, respectively, P = 0.007), required mechanical ventilation (37.1% vs. 23.2%, P = 0.001), and died (15.9% vs. 7.9%, P = 0.009). In multivariable logistic regression models, diabetes was associated with greater odds of ICU admission (odds ratio 1.59 [95% CI 1.01-2.52]), mechanical ventilation (1.97 [1.21-3.20]), and death (2.02 [1.01-4.03]) at 14 days. Obesity was associated with greater odds of ICU admission (2.16 [1.20-3.88]) and mechanical ventilation (2.13 [1.14-4.00]) but not with death. CONCLUSIONS: Among hospitalized patients with COVID-19, diabetes was associated with poor early outcomes, after adjustment for obesity. These findings can help inform patient-centered care decision making for people with diabetes at risk for COVID-19.

Massachusetts general hospital Covid-19 registry reveals two distinct populations of hospitalized patients by race and ethnicity.

OBJECTIVE: To evaluate differences by race/ethnicity in clinical characteristics and outcomes among hospitalized patients with Covid-19 at Massachusetts General Hospital (MGH). METHODS: The MGH Covid-19 Registry includes confirmed SARS-CoV-2-infected patients hospitalized at MGH and is based on manual chart reviews and data extraction from electronic health records (EHRs). We evaluated differences between White/Non-Hispanic and Hispanic patients in demographics, complications and 14-day outcomes among the N = 866 patients hospitalized with Covid-19 from March 11, 2020-May 4, 2020. RESULTS: Overall, 43% of patients hospitalized with Covid-19 were women, median age was 60.4 [IQR = (48.2, 75)], 11.3% were Black/non-Hispanic and 35.2% were Hispanic. Hispanic patients, representing 35.2% of patients, were younger than White/non-Hispanic patients [median age 51y; IQR = (40.6, 61.6) versus 72y; (58.0, 81.7) (p<0.001)]. Hispanic patients were symptomatic longer before presenting to care (median 5 vs 3d, p = 0.039) but were more likely to be sent home with self-quarantine than be admitted to hospital (29% vs 16%, p<0.001). Hispanic patients had fewer comorbidities yet comparable rates of ICU or death (34% vs 36%). Nonetheless, a greater proportion of Hispanic patients recovered by 14 days after presentation (62% vs 45%, p<0.001; OR = 1.99, p = 0.011 in multivariable adjusted model) and fewer died (2% versus 18%, p<0.001). CONCLUSIONS: Hospitalized Hispanic patients were younger and had fewer comorbidities compared to White/non-Hispanic patients; despite comparable rates of ICU care or death, a greater proportion recovered. These results have implications for public health policy and the design and conduct of clinical trials.

Reaching the second 90: the strategies for linkage to care and antiretroviral therapy initiation.

PURPOSE OF REVIEW: We present recent literature describing interventions for linkage to HIV care in the era of Universal Test and Treat (UTT) policies. We also provide information for ongoing studies of linkage to care strategies registered with ClinicalTrials.gov. RECENT FINDINGS: Differentiated service delivery for linkage to care involves implementing strategies that simplify and adapt HIV services to better serve individual needs and reduce unnecessary burdens on the health system. Recent strategies have focused not only on clinic-based populations testing for HIV but also emphasize community-based services and HIV self-testing, which create different challenges for linkage to the healthcare system. Some recent developments in linkage to care strategies include: case management, care integration with other desirable health services, financial incentives, home-based, and peer-led services. The demonstrated strategies have varying levels of success and engagement in care; further work is needed to address ongoing barriers in HIV care. SUMMARY: Progress towards meeting the 90-90-90 benchmarks has left gaps in linkage to care that require care-system development to facilitate increased access to care under UTT policies. Most notably, new strategies will need to focus on addressing the distinct needs of key populations and bolstering linkage to care from community-based and self-testing services.