Missed Opportunities: Characteristics of People Who Received a Concurrent HIV/AIDS Diagnosis in New York State From 2016 to 2021.

BACKGROUND: Late HIV diagnosis is associated with a wide range of negative outcomes. The aim of this study was to identify the characteristics of individuals who received a concurrent diagnosis (CDX) in New York State (NYS) so that more effective interventions can be developed to encourage earlier testing among these populations. METHODS: The NYS HIV registry was used to identify people who received a CDX from 2016 to 2021. A CDX was a diagnosis that met the criteria for a stage 3 HIV infection within 30 days of the initial HIV diagnosis. Sex at birth, race/ethnicity, transmission risk group, age at diagnosis, region of residence at diagnosis, urbanicity of zip code of diagnosis, and type of diagnosing facility were used as covariates. Bivariate and multivariate risk ratios were calculated to quantify associations between CDX and covariates. RESULTS: There were 14,866 people newly diagnosed with HIV in NYS from 2016 to 2021, of which 19.0% had a CDX. Those with female sex at birth, history of injection drug use, or history of male-to-male sexual contact/history of injection drug use risk were less likely to have a CDX. Increased age, Asian race/ethnicity, residence outside of New York City, and diagnosis at inpatient facilities or emergency rooms were associated with an increased likelihood of a CDX. CONCLUSION: Populations with the highest proportions of CDX were ones that made up a small percentage of all new HIV diagnoses and may not be benefiting as much from current HIV prevention efforts. There are complex interactions between many factors including geographic and social characteristics that may lead to delayed diagnostic testing.

Molecular HIV Clustering Among Individuals with Mpox and HIV Co-Morbidity in New York State, Excluding New York City.

The 2022 global mpox outbreak created an opportunity to test the utility of molecular HIV surveillance (MHS) to identify high-risk transmission networks. Individuals diagnosed with mpox in New York State (NYS) outside New York City-[Rest of State (ROS)] were matched to the NYS HIV and sexually transmitted infection registries. The demographic characteristics of individuals diagnosed with mpox in ROS mirror national trends. HIV-mpox comorbid individuals were more likely to be included in HIV molecular clusters compared to persons living with diagnosed HIV in ROS overall, men who have sex with men (MSM) in ROS, and age-adjusted MSM (to match individuals with mpox diagnosis) in ROS. For the 3-year 0.5% clusters, which are used to define national priority clusters, the HIV-mpox comorbid individuals clustered 2.4 times more frequently than the age/risk-adjusted control group. This study supports the use of HIV MHS to identify populations for priority public health interventions.

Brief Report: Trends in HIV Mortality in the Context of the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic led to an increase in the number of deaths among all populations, including people with diagnosed HIV (PWDH). The aim of this study was to analyze the top causes of death (COD) among PWDH before the start of the COVID-19 pandemic, during the start of the COVID-19 pandemic, and a year later; to determine changes in the leading COD among PWDH; and to determine whether the historical trend of decreasing deaths related to HIV continued through the pandemic. METHODS: To examine mortality among PWDH in New York State (NYS), records for PWDH who died from 2015 to 2021 were extracted from the NYS HIV registry and Vital Statistics Death Data. RESULTS: The number of deaths among PWDH in NYS increased 32% from 2019 to 2020 and continued in 2021. COVID-19 was one of the most common underlying COD among PWDH in 2020. In 2021, COVID-19-related deaths decreased while HIV and diseases of the circulatory system remained the top COD. HIV listed as either the underlying or contributing COD showed a consistent downward trend in the percentage of HIV-related deaths among PWDH, from 45% in 2015 to 32% in 2021. CONCLUSIONS: There was a large increase in deaths among PWDH in 2020, with a substantial percentage related to COVID-19. However, even with the introduction of COVID-19 in 2020, the percentage of deaths related to HIV-one of the goals of the Ending the Epidemic Initiative in NYS-continued to decrease.

COVID-19 Vaccination and Hospitalization Among Persons Living With Diagnosed HIV in New York State.

BACKGROUND: Persons living with diagnosed HIV (PLWDH) have higher COVID-19 diagnoses rates and poorer COVID-19-related outcomes than persons living without diagnosed HIV. The intersection of COVID-19 vaccination status and likelihood of severe COVID-19 outcomes has not been fully investigated for PLWDH. SETTING: New York State (NYS). METHODS: We matched HIV surveillance, immunization, and hospitalization databases to compare COVID-19 vaccination and COVID-19-related hospitalizations among PLWDH during B.1.617.2 (Delta) and B.1.1.529 (Omicron) predominance. RESULTS: Through March 4, 2022, 69,137 of the 101,205 (68%) PLWDH were fully vaccinated or boosted for COVID-19. PLWDH who were virally suppressed or in care were more often to be fully vaccinated or boosted compared with PLWDH who were not virally suppressed (77% vs. 44%) or without evidence of care (74% vs. 33%). Overall hospitalization rates were lower among virally suppressed PLWDH. During Delta predominance, PLWDH with any vaccination history who were in care had lower hospitalization rates compared with those not in care; during Omicron predominance, this was the case only for boosted PLWDH. CONCLUSIONS: Approximately 28% (28,255) of PLWDH in NYS remained unvaccinated for COVID-19, a rate roughly double of that observed in the overall adult NYS population. PLWDH of color were more often than non-Hispanic White persons to be unvaccinated, as were the virally unsuppressed and those without evidence of HIV-related care, threatening to expand existing disparities in COVID-19-related outcomes. Vaccination was protective against COVID-19-related hospitalizations for PLWDH; however, differences in hospitalization rates between fully vaccinated and unvaccinated PLWDH were smaller than those among all New Yorkers.

HIV and Sexually Transmitted Infections Among Persons with Monkeypox - Eight U.S. Jurisdictions, May 17-July 22, 2022.

High prevalences of HIV and other sexually transmitted infections (STIs) have been reported in the current global monkeypox outbreak, which has affected primarily gay, bisexual, and other men who have sex with men (MSM) (1-5). In previous monkeypox outbreaks in Nigeria, concurrent HIV infection was associated with poor monkeypox clinical outcomes (6,7). Monkeypox, HIV, and STI surveillance data from eight U.S. jurisdictions* were matched and analyzed to examine HIV and STI diagnoses among persons with monkeypox and assess differences in monkeypox clinical features according to HIV infection status. Among 1,969 persons with monkeypox during May 17-July 22, 2022, HIV prevalence was 38%, and 41% had received a diagnosis of one or more other reportable STIs in the preceding year. Among persons with monkeypox and diagnosed HIV infection, 94% had received HIV care in the preceding year, and 82% had an HIV viral load of <200 copies/mL, indicating HIV viral suppression. Compared with persons without HIV infection, a higher proportion of persons with HIV infection were hospitalized (8% versus 3%). Persons with HIV infection or STIs are disproportionately represented among persons with monkeypox. It is important that public health officials leverage systems for delivering HIV and STI care and prevention to reduce monkeypox incidence in this population. Consideration should be given to prioritizing persons with HIV infection and STIs for vaccination against monkeypox. HIV and STI screening and other recommended preventive care should be routinely offered to persons evaluated for monkeypox, with linkage to HIV care or HIV preexposure prophylaxis (PrEP) as appropriate.

Factors associated with SARS-CoV-2-related hospital outcomes among and between persons living with and without diagnosed HIV infection in New York State.

BACKGROUND: Persons living with diagnosed HIV (PLWDH) are at increased risk for severe illness due to COVID-19. The degree to which this due to HIV infection, comorbidities, or other factors remains unclear. METHODS: We conducted a retrospective matched cohort study of individuals hospitalized with COVID-19 in New York State between March and June 2020, during the first wave of the pandemic, to compare outcomes among 853 PLWDH and 1,621 persons without diagnosed HIV (controls). We reviewed medical records to compare sociodemographic and clinical characteristics at admission, comorbidities, and clinical outcomes between PLWDH and controls. HIV-related characteristics were evaluated among PLWDH. RESULTS: PLWDH were significantly more likely to have cardiovascular (matched prevalence-ratio [mPR], 1.22 [95% CI, 1.07-1.40]), chronic liver (mPR, 6.71 [95% CI, 4.75-9.48]), chronic lung (mPR, 1.76 [95% CI, 1.40-2.21]), and renal diseases (mPR, 1.77 [95% CI, 1.50-2.09]). PLWDH were less likely to have elevated inflammatory markers upon hospitalization. Relative to controls, PLWDH were 15% less likely to require mechanical ventilation or extracorporeal membrane oxygenation (ECMO) and 15% less likely to require admission to the intensive care unit. No significant differences were found in in-hospital mortality. PLWDH on tenofovir-containing regimens were significantly less likely to require mechanical ventilation or ECMO (risk-ratio [RR], 0.73 [95% CI, 0.55-0.96]) and to die (RR, 0.74 [95% CI, 0.57-0.96]) than PLWDH on non-tenofovir-containing regimens. CONCLUSIONS: While hospitalized PLWDH and controls had similar likelihood of in-hospital death, chronic disease profiles and degree of inflammation upon hospitalization differed. This may signal different mechanisms leading to severe COVID-19.

A Peek Into the Future: How a Pandemic Resulted in the Creation of Models to Predict the Impact on Sexually Transmitted Infection(s) in New York State (Excluding New York City).

ABSTRACT: During the initial height of COVID-19 in New York State excluding New York City in March 2020, reports of sexually transmitted infections declined. Prediction models developed to estimate the incidence of early syphilis and gonorrhea during the COVID-19 pandemic were used to study impact on STI diagnoses/reporting and inform sexual health program planning.

COVID-19 Outcomes Among Persons Living With or Without Diagnosed HIV Infection in New York State.

Importance: New York State has been an epicenter for both the US coronavirus disease 2019 (COVID-19) and HIV/AIDS epidemics. Persons living with diagnosed HIV may be more prone to COVID-19 infection and severe outcomes, yet few studies have assessed this possibility at a population level. Objective: To evaluate the association between HIV diagnosis and COVID-19 diagnosis, hospitalization, and in-hospital death in New York State. Design, Setting, and Participants: This cohort study, conducted in New York State, including New York City, between March 1 and June 15, 2020, matched data from HIV surveillance, COVID-19 laboratory-confirmed diagnoses, and hospitalization databases to provide a full population-level comparison of COVID-19 outcomes between persons living with diagnosed HIV and persons living without diagnosed HIV. Exposures: Diagnosis of HIV infection through December 31, 2019. Main Outcomes and Measures: The main outcomes were COVID-19 diagnosis, hospitalization, and in-hospital death. COVID-19 diagnoses, hospitalizations, and in-hospital death rates comparing persons living with diagnosed HIV with persons living without dianosed HIV were computed, with unadjusted rate ratios and indirect standardized rate ratios (sRR), adjusting for sex, age, and region. Adjusted rate ratios (aRRs) for outcomes specific to persons living with diagnosed HIV were assessed by age, sex, region, race/ethnicity, transmission risk, and CD4+ T-cell count-defined HIV disease stage, using Poisson regression models. Results: A total of 2988 persons living with diagnosed HIV (2109 men [70.6%]; 2409 living in New York City [80.6%]; mean [SD] age, 54.0 [13.3] years) received a diagnosis of COVID-19. Of these persons living with diagnosed HIV, 896 were hospitalized and 207 died in the hospital through June 15, 2020. After standardization, persons living with diagnosed HIV and persons living without diagnosed HIV had similar diagnosis rates (sRR, 0.94 [95% CI, 0.91-0.97]), but persons living with diagnosed HIV were hospitalized more than persons living without diagnosed HIV, per population (sRR, 1.38 [95% CI, 1.29-1.47]) and among those diagnosed (sRR, 1.47 [95% CI, 1.37-1.56]). Elevated mortality among persons living with diagnosed HIV was observed per population (sRR, 1.23 [95% CI, 1.07-1.40]) and among those diagnosed (sRR, 1.30 [95% CI, 1.13-1.48]) but not among those hospitalized (sRR, 0.96 [95% CI, 0.83-1.09]). Among persons living with diagnosed HIV, non-Hispanic Black individuals (aRR, 1.59 [95% CI, 1.40-1.81]) and Hispanic individuals (aRR, 2.08 [95% CI, 1.83-2.37]) were more likely to receive a diagnosis of COVID-19 than White individuals, but they were not more likely to be hospitalized once they received a diagnosis or to die once hospitalized. Hospitalization risk increased with disease progression to HIV stage 2 (aRR, 1.29 [95% CI, 1.11-1.49]) and stage 3 (aRR, 1.69 [95% CI, 1.38-2.07]) relative to stage 1. Conclusions and Relevance: In this cohort study, persons living with diagnosed HIV experienced poorer COVID-related outcomes relative to persons living without diagnosed HIV; Previous HIV diagnosis was associated with higher rates of severe disease requiring hospitalization, and hospitalization risk increased with progression of HIV disease stage.

Elevated COVID-19 outcomes among persons living with diagnosed HIV infection in New York State: Results from a population-level match of HIV, COVID-19, and hospitalization databases.

BACKGROUND: New York State (NYS) has been an epicenter for both COVID-19 and HIV/AIDS epidemics. Persons Living with diagnosed HIV (PLWDH) may be more prone to COVID-19 infection and severe outcomes, yet few population-based studies have assessed the extent to which PLWDH are diagnosed, hospitalized, and have died with COVID-19, relative to non-PLWDH. METHODS: NYS HIV surveillance, COVID-19 laboratory confirmed diagnoses, and hospitalization databases were matched. COVID-19 diagnoses, hospitalization, and in-hospital death rates comparing PLWDH to non-PLWDH were computed, with unadjusted rate ratios (RR) and indirect standardized RR (sRR), adjusting for sex, age, and region. Adjusted RR (aRR) for outcomes among PLWDH were assessed by age/CD4-defined HIV disease stage, and viral load suppression, using Poisson regression models. RESULTS: From March 1-June 7, 2020, PLWDH were more frequently diagnosed with COVID-19 than non-PLWDH in unadjusted (RR [95% confidence interval (CI)]: 1.43[1.38-1.48), 2,988 PLWDH], but not in adjusted comparisons (sRR [95% CI]: 0.94[0.91-0.97]). Per-population COVID-19 hospitalization was higher among PLWDH (RR [95% CI]: 2.61[2.45-2.79], sRR [95% CI]: 1.38[1.29-1.47], 896 PLWDH), as was in-hospital death (RR [95% CI]: 2.55[2.22-2.93], sRR [95%CI]: 1.23 [1.07-1.40], 207 PLWDH), albeit not among those hospitalized (sRR [95% CI]: 0.96[0.83-1.09]). Among PLWDH, hospitalization risk increased with disease progression from HIV Stage 1 to Stage 2 (aRR [95% CI]:1.27[1.09-1.47]) and Stage 3 (aRR [95% CI]: 1.54[1.24-1.91]), and for those virally unsuppressed (aRR [95% CI]: 1.54[1.24-1.91]). CONCLUSION: PLWDH experienced poorer COVID-related outcomes relative to non-PLWDH, with 1-in-522 PLWDH dying with COVID-19, seemingly driven by higher rates of severe disease requiring hospitalization.

Cross-Jurisdictional Data to Care: Lessons Learned in New York State and Florida.

BACKGROUND: Data-to-Care (D2C) programming is an important strategy in locating and relinking persons with HIV who are not in care (NIC), back to care. However, Health Department D2C programs have found a large proportion of individuals who seem NIC are living outside of their jurisdiction. Jurisdictions are limited in ability to cross-communicate regarding such individuals. SETTING: Two D2C programs [New York State (NYS) and Florida (FL)] funded through the Partnerships-for-Care Demonstration Project, partnered to conduct a feasibility pilot project to test cross-jurisdictional D2C reciprocity. METHODS: Jurisdictions made efforts to set up infrastructure for cross-jurisdictional D2C, and NYS worked to identify persons reported in NYS presumed in need of linkage/relinkage efforts in FL using 3 years of NYS D2C program outcomes. RESULTS: One hundred forty NYS NIC individuals were presumed to need linkage/relinkage efforts in FL. However, case dispositions for these individuals were not able to be advanced beyond determining HIV care status due to 4 critical challenges: (1) Local legal and regulatory permissibility for sharing identifiable HIV surveillance information outside of a specific jurisdiction varies; (2) Electronic infrastructure in place does not support public health follow-up of individuals who are not within a jurisdiction's HIV surveillance system; (3) An individual's verifiable current residence is not easily attained; and (4) Roles, responsibilities, and case prioritization within each state, and across jurisdictions vary and require clear delineation. CONCLUSIONS: Although programmatic challenges during this D2C feasibility pilot project were unsurmountable for NYS and FL, potential solutions presented may facilitate broader national cross-jurisdictional D2C reciprocity.

Smoke-free parks and beaches: an interrupted time-series study of behavioural impact in New York City.

BACKGROUND: In 2011, New York City (NYC) parks and beaches became smoke-free. There is currently little research evaluating the impact of such laws on smoking behaviour at the population level. METHODS: We used an interrupted time-series study design to analyse data from the New York State Adult Tobacco Survey to assess the law's impact using the rest of New York State as a comparison. Trends in how frequently respondents noticed people smoking in parks and beaches were analysed between the third quarter of 2009 and the fourth quarter of 2012, comparing NYC to the rest of the state. RESULTS: The trend in the frequency of NYC residents noticing people smoking in local parks and beaches decreased significantly over the six quarters after the law took effect. There was no comparable decline among residents in the rest of the state. An increase in the number of respondents who never noticed people smoking in NYC contributed to this decline. CONCLUSIONS: These results are consistent with previous studies and provide population-level evidence that suggest the law has reduced smoking in parks and on beaches.

Relationship between objectively measured walkability and exercise walking among adults with diabetes.

Little is known about the relationship between objectively measured walkability and walking for exercise among adults with diabetes. Information regarding walking behavior of adults with diabetes residing in 3 Upstate New York counties was collected through an interview survey. Walkability measures were collected through an environmental audit of a sample of street segments. Overall walkability and 4 subgroup measures of walkability were aggregated at the ZIP level. Multivariate logistic regression was used for analysis. Study participants (n = 208) were 61.0% female, 56.7% non-Hispanic White, and 35.1% African-American, with a mean age of 62.0 years. 108 participants (51.9%) walked for exercise on community streets, and 62 (29.8%) met the expert-recommended level of walking for ≥150 minutes/week. After adjustment for age, gender, race/ethnicity, education, BMI, physical impairment, and social support for exercise, walking any minutes/week was associated with traffic safety (OR 1.34, 95% CI 1.15-1.65). Walking ≥150 minutes/week was associated with overall walkability of the community (2.65, 1.22, and 5.74), as well as sidewalks (1.73, 1.12-2.67), street amenity (2.04, 1.12-3.71), and traffic safety (1.92, 1.02-3.72). This study suggests that walkability of the community should be an integral part of the socioecologic approach to increase physical activity among adults with diabetes.

Assessing retail fruit and vegetable availability in urban and rural underserved communities.

INTRODUCTION: Fruits and vegetables (F&Vs) are important parts of a healthy, balanced diet. Consumption of F&Vs is low among residents of socioeconomically disadvantaged communities. We investigated and compared retail F&V availability in urban and rural underserved communities in New York State. METHODS: All food retail stores and farmers' markets (N = 263) in downtown Albany and in Columbia and Greene counties in New York State were visited and surveyed. Food stores were classified as F&V stores if they stocked more than the minimum varieties of fresh F&Vs defined by this study and as fruit-for-snack stores if they had ready-to-eat fruits only. Store density per 10,000 residents was calculated as a standardized measure of F&V availability. Adjustment weights were created to incorporate store size and business hours into the analysis. RESULTS: The weight-adjusted density (per 10,000 residents) of F&V stores was 4.6 in Albany's minority neighborhood (reference category), 11.4 in Albany's racially mixed neighborhood (P = .01), 7.8 in Columbia and Greene counties' rural community (P = .10), and 9.8 in Columbia and Greene counties' small-town community (P = .02). Significant differences were not found in fruit-for-snack stores, which ranged from 2.0 per 10,000 in the mixed neighborhood to 3.4 per 10,000 in the rural community. CONCLUSION: The urban minority neighborhood had the most barriers to fresh F&Vs in retail outlets, even when compared with the rural community. The low availability of retail F&Vs in the minority neighborhood was attributed to the lack of supermarkets and not the absolute lack of food stores. Public health intervention strategies to increase retail F&V availability in urban minority neighborhoods may aid in mitigating these disparities.