Development and validation of vulnerable and enabling indices for hiv viral suppression among people with hiv enrolled in the ryan white program

Background: Numerous factors impact HIV care, often requiring consideration of indices to prevent collinearity when using statistical modeling. Using the Behavioral Model for Vulnerable Populations, we developed vulnerable and enabling indices for people living with HIV (PLWH). Methods: We used Ryan White Program (RWP) data and principal component analysis to develop general and gender-and racial/ethnic-specific indices. We assessed internal reliability (Cronbach’s alpha), convergent validity (correlation coefficient), and predictive utility (logistic regression) with non-viral suppression. Results: Three general factors accounting for 79.2% of indicators’ variability surfaced: mental health, drug use, and socioeconomic status (Cronbach’s alpha 0.68). Among the overall RWP population, indices showed convergent validity and predictive utility. Using gender-or racial/ethnic-specific indices did not improve psychometric performance. Discussion: General mental health, drug use, and socioeconomic indices using administrative data showed acceptable reliability, validity, and utility for non-viral suppression in an overall PLWH population and in gender-and racial/ethnic-stratified populations. These general indices may be used with similar validity and utility across gender and racial/ethnic diverse populations

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Examining the Effects of Individual and Neighborhood Factors on HIV Transmission Risk Potential among People With HIV

HIV transmission risk significantly increases in late-diagnosed HIV and at HIV viral load (VL) \u3e1500 copies/mL. The objective of this dissertation was to examine factors associated with HIV transmission risk potential for persons with HIV (PWH) using measures of time from HIV infection to diagnosis and trajectories of VL suppression. Additionally, we sought to determine whether a single yearly VL measure—the current standard to track the HIV epidemic in the United States—is reliable in assessing viral suppression for PWH. The first study estimated the distribution of time from HIV infection to diagnosis in Florida using a CD4 depletion model and utilized a frailty model to determine individual- and neighborhood-level factors associated with receiving a diagnosis within 40 months after HIV infection (based on the most recent median time from HIV infection to diagnosis in 2018 reported in a U.S. national study). Overall, the median time to diagnosis was 83 months and was stable during 2014-2018. Older adults, non-Hispanic Blacks (vs. non-Hispanic Whites), and heterosexual males (vs. men who have sex with men) were less likely to be diagnosed within 40 months after HIV infection. The second study examined agreement between three viral suppression measures among clients in the Miami-Dade County Ryan White Program (RWP): recent viral suppression, defined as having a suppressed VL (/mL) in the last test in 2017; maintained viral suppression, having a suppressed VL for both the first and last VL tests in 2017; and sustained viral suppression, having all VL tests in 2017 showing suppression. Recent viral suppression measures overestimated maintained and sustained viral suppression measures, by 7.0% and 10.1%, respectively. Non-Hispanic Blacks (0.88 [0.74-1.00]) and Haitians (0.87 [0.72-1.00]) had lower Gwet’s agreement coefficient scores than Hispanics (0.94 [0.87-1.00]) and non-Hispanic Whites/Others (0.93 [0.82-1.00]) across all three definitions. The third study determined the percentage of person-time spent with VL \u3e1500 copies/mL and utilized a random-effects zero-inflated negative binomial model to determine factors associated with experiencing longer time with VL \u3e1500 copies/mL for 6390 RWP clients. On average, clients spent 27.4 days per year at substantial risk of transmitting HIV. Younger age, AIDS diagnosis, and drug use in the preceding 12 months were associated with longer time spent at VL \u3e1500 copies/mL. In conclusion, a substantial number of individuals lived with HIV for a long time before their diagnosis in Florida, and on average, PWH spent nearly a month per year at substantial risk of transmitting HIV. Policies and tailored interventions targeting the specific HIV needs of underserved populations may help reduce transmission risk. Reporting viral suppression estimates using maintained or sustained viral suppression in addition to recent viral suppression may be beneficial in clinical care and for adequate monitoring of programmatic outcomes

Comment on: Non-Cholesterol Sterol Concentrations as Biomarkers for Cholesterol Absorption and Synthesis in Different Metabolic Disorders: A Systematic Review

The use of non-cholesterol sterols as biomarkers for cholesterol metabolism is well established in health-related topics [...

Cancer-Related Pain Is an Independent Predictor of In-Hospital Opioid Overdose: A Propensity-Matched Analysis

Background: About 50% of patients with cancer who have undergone surgery suffer from cancer-related pain (CP). The use of opioids for postoperative pain management presents the potential for overdose, especially among these patients. Objective: The primary objective of this study was to determine the association between CP and postoperative opioid overdose among inpatients who had undergone major elective procedures. The secondary objective was to assess the relationship between CP and inpatient mortality, total hospital charge, and length of stay in this population. Methods: Data of adults 18 years and older from the National Inpatient Sample (NIS) were analyzed. Variables were identified using ICD-9 codes. Propensity-matched regression models were employed in evaluating the association between CP and outcomes of interest. Results: Among 4,085,355 selected patients, 0.8% (N = 2,665) had CP, whereas 99.92% (N = 4,082,690) had no diagnosis of CP. We matched patients with CP (N = 2,665) and no CP (N = 13,325) in a 1:5 ratio. We found higher odds of opioid overdose (adjusted odds ratio [aOR] = 4.82, 95% confidence interval [CI] = 2.68-8.67, P \u3c 0.0001) and inpatient mortality (aOR = 1.39, 95% CI = 1.11-1.74, P = 0.0043) in patients with CP vs no CP. Also, patients with CP were more likely to stay longer in the hospital (12.76 days vs 7.88 days) with higher total hospital charges ($140,220 vs$88,316). Conclusions: CP is an independent risk factor for opioid overdose, increased length of stay, and increased total hospital charges

Association between long-term NSAID use and opioid abuse among patients with breast cancer

Background: Improving survival rates among patients with breast cancer has been associated with an increase in the prevalence of co-morbidities like cancer-related pain. Opioids are an important component in the management of pain among these patients. However, the progression from judicious use to abuse defeats the aim of pain control. Non-steroidal anti-inflammatory drugs (NSAIDs) are recommended as the first step in cancer-related pain management. Due to their anti-inflammatory, anti-neoplastic and neuroprotective properties, NSAIDs have been shown to reduce the risk of progression of certain cancers including breast cancers. In this study, we assessed whether an association exists between long-term NSAID use and opioid abuse among breast cancer survivors. We also explored the relationship between long-term NSAID use and inpatient mortality and length of stay (LOS). Methods: Using ICD-9-CM codes, we identified and selected women aged 18 years and older with breast cancer from the National Inpatient Sample. Our primary predictor was a history of long-term NSAID use. Multivariable regression models were employed in assessing the association between long-term NSAID use and opioid abuse, inpatient mortality and LOS. Results: Among 170,644 women with breast cancer, 7,838 (4.6%) reported a history of long-term NSAID use. Patients with a history of long-term NSAID use had lower odds of opioid abuse (adjusted odds ratio (aOR) 0.53; 95% CI [0.32–0.88]), lower in-hospital mortality (aOR 0.52; 95% CI [0.45–0.60]) and shorter LOS (7.12 vs. 8.11 days). Discussion: Further studies are needed to understand the underlying mechanism of the association between long-term NSAID use and opioid abuse

Acceptability and user experiences of a patient-held smart card for antenatal services in Nigeria: a qualitative study

BACKGROUND: Poor maternal, newborn and child health outcomes remain a major public health challenge in Nigeria. Mobile health (mHealth) interventions such as patient-held smart cards have been proposed as effective solutions to improve maternal health outcomes. Our objectives were to assess the acceptability and experiences of pregnant women with the use of a patient-held smartcard for antenatal services in Nigeria. METHODS: Using focus group discussions, qualitative data were obtained from 35 pregnant women attending antenatal services in four Local Government Areas (LGAs) in Benue State, Nigeria. The audio-recorded data were transcribed and analyzed using framework analysis techniques such as the PEN-3 cultural model as a guide. RESULTS: The participants were 18-44 years of age (median age: 24 years), all were married and the majority were farmers. Most of the participants had accepted and used the smartcards for antenatal services. The most common positive perceptions about the smartcards were their ability to be used across multiple health facilities, the preference for storage of the women\u27s medical information on the smartcards compared to the usual paper-based system, and shorter waiting times at the clinics. Notable facilitators to using the smartcards were its provision at the Baby showers which were already acceptable to the women, access to free medical screenings, and ease of storage and retrieval of health records from the cards. Costs associated with health services was reported as a major barrier to using the smartcards. Support from health workers, program staff and family members, particularly spouses, encouraged the participants to use the smartcards. CONCLUSION: These findings revealed that patient-held smart card for maternal health care services is acceptable by women utilizing antenatal services in Nigeria. Understanding perceptions, barriers, facilitators, and supportive systems that enhance the use of these smart cards may facilitate the development of lifesaving mobile health platforms that have the potential to achieve antenatal, delivery, and postnatal targets in a resource-limited setting

Male Partner Involvement on Initiation and Sustainment of Exclusive Breastfeeding Among HIV-infected Post-partum Women: Study Protocol for a Randomized Controlled Trial

Exclusive Breastfeeding (EBF) among human immunodeficiency virus (HIV)-infected mothers is known to be associated with a sustained and significant reduction in HIV transmission and has the potential to reduce infant and under-five mortality. Research shows that EBF is not common in many HIV-endemic, resource-limited settings despite recommendations by the World Health Organization. Although evidence abounds that male partner involvement increases HIV testing and uptake and retention of prevention of mother-to-child transmission interventions, few studies have evaluated the impact of male partners\u27 involvement and decision-making on initiation, maintenance, and sustainment of EBF. We propose a comparative effectiveness trial of Men\u27s Club as intervention group compared to the control group on initiation and sustainment of EBF. Men\u27s Club will provide male partners of HIV-infected pregnant women one 5-hr interactive educational intervention to increase knowledge on EBF and explore barriers and facilitators of EBF and support. Additionally, participating male partners in the Men\u27s Club as intervention group will receive weekly text message reminders during the first 6-week post-natal period to improve initiation and sustainment of EBF. Participants in the Men\u27s Club as control group will receive only educational pamphlets. Primary outcomes are the differences in the rates of initiation and sustainment of EBF at 6 months between the two groups. Secondary outcomes are differences in male partner knowledge of infant feeding options and the intent to support EBF in the two groups. Understanding the role and impact of male partners on the EBF decision-making process will inform the development of effective and sustainable evidence-based interventions to support the initiation and sustainment of EBF

Development and Validation of Vulnerable and Enabling Indices for HIV Viral Suppression among People with HIV Enrolled in the Ryan White Program

Background: Numerous factors impact HIV care, often requiring consideration of indices to prevent collinearity when using statistical modeling. Using the Behavioral Model for Vulnerable Populations, we developed vulnerable and enabling indices for people living with HIV (PLWH). Methods: We used Ryan White Program (RWP) data and principal component analysis to develop general and gender- and racial/ethnic-specific indices. We assessed internal reliability (Cronbach’s alpha), convergent validity (correlation coefficient), and predictive utility (logistic regression) with non-viral suppression. Results: Three general factors accounting for 79.2% of indicators’ variability surfaced: mental health, drug use, and socioeconomic status (Cronbach’s alpha 0.68). Among the overall RWP population, indices showed convergent validity and predictive utility. Using gender- or racial/ethnic-specific indices did not improve psychometric performance. Discussion: General mental health, drug use, and socioeconomic indices using administrative data showed acceptable reliability, validity, and utility for non-viral suppression in an overall PLWH population and in gender- and racial/ethnic-stratified populations. These general indices may be used with similar validity and utility across gender and racial/ethnic diverse populations