Intimate Partner Violence: A Predictor of Worse HIV Outcomes and Engagement in Care

For HIV-infected patients, experiencing multiple traumas is associated with AIDS-related and all-cause mortality, increased opportunistic infections, progression to AIDS, and decreased adherence to therapy. The impact of intimate partner violence (IPV) on adherence and HIV outcomes is unknown. HIV-infected patients recruited from a public HIV clinic participated in this observational cohort study (n=251). Participants completed interviews evaluating IPV and covariates. CD4 count <200 (CD4<200), detectable HIV viral load (VL), and engagement in care (“no show rate” [NSR]) were the outcomes of interest. Medication adherence was not measured. Univariate and multivariate regression analyses were performed with covariates included if p<0.3 in the univariate phase. Seventy-four percent of the participants were male, 55% Caucasian, and 52.2% self-identified as “men who have sex with men.” IPV prevalence was 33.1% with no difference by gender or sexual orientation. In univariate analysis, IPV exposure predicted having a CD4<200 (p=0.005) and a detectable VL (p=0.04) but trended toward significance with a high NSR (p=0.077). Being threatened by a partner was associated with a CD4<200 (p=0.005), a detectable VL (p=0.011), and high NSR (p=0.019) in univariate analysis. In multivariate analysis, IPV predicted having a CD4<200 (p=0.005) and detectable VL (p=0.035). Being threatened by a partner predicted having a CD4<200 (p=0.020), a detectable VL (p=0.007), and a high NSR (p=0.020). Our results suggest IPV impacts biologic outcomes and engagement in care for HIV-infected patients. IPV alone predicts worse biologic outcomes, whereas the specific experience of being threatened by a partner was associated with all three outcomes in univariate and multivariate analyses

Does Childhood Diarrhea Influence Cognition Beyond the Diarrhea-Stunting Pathway?

BackgroundDiarrhea is a leading cause of morbidity among children under 5 years of age in low- and middle-income countries yet the additional effects and sequelae, such as cognitive impairment associated with diarrhea, have not been quantified.MethodsWe quantified the association between diarrhea prevalence and cognitive outcomes while controlling for linear growth in 4 study populations. Cognition was assessed using different methods across sites and was expressed in standardized units. We built linear regression models for each study with standardized cognitive score as the outcome and diarrhea prevalence as the main predictor variable. We then conducted meta-analyses of the regression coefficients to generate pooled estimates of the association between diarrhea prevalence and cognition whilst controlling for anthropometric status and other covariates.ResultsDiarrhea was not a significant predictor of cognitive score in any site in the regression models or in the meta-analyses (Coefficient = 0.07; 95% CI: −0.1, 0.2). The length for age Z- score was negatively related to cognition in all sites (0.18; 95% CI: 0.14, 0.21), with coefficients remarkably similar across sites (Coefficient Range: 0.168–0.186).ConclusionsWe did not demonstrate an association between diarrhea and cognition with stunting included in the model. The links between diarrhea, stunting, and cognition provide additional rationale for accelerating interventions to reduce diarrhea

Effects of recent Virginia AIDS Drug Assistance Program policy changes on diabetes and hyperlipidemia control in people living with HIV

Objectives: To describe the impacts of Virginia AIDS Drug Assistance Program’s elimination of diabetes and hyperlipidemia medication on disease outcomes in people living with HIV. Methods: Data were collected on two groups of people living with HIV who were prescribed medications for diabetes and/or hyperlipidemia; one group received medications from AIDS Drug Assistance Program (ADAP) and the other group received medications from another source. Data were collected for 13 months before and after the policy change. Diabetes, hyperlipidemia, and HIV control were compared using standard laboratory measures. Results: During the pre-policy-change time period, non-ADAP patients had better diabetes control than ADAP patients, but with multivariate analysis, ADAP status was no longer a statistically significant predictor. Otherwise, no significant differences between groups were identified. Discussion: ADAP patients had worse diabetes control compared to the non-ADAP group before the policy change. It is possible that this is due to the AIDS Drug Assistance Program population’s poor access to non-HIV primary care, including care for diabetes. It is reassuring that, even during a time of flux in AIDS Drug Assistance Program resources, the AIDS Drug Assistance Program patients’ co-morbid and HIV outcomes were not negatively impacted

Severe sepsis in two Ugandan hospitals: a prospective observational study of management and outcomes in a predominantly HIV-1 infected population.

BACKGROUND:Sepsis likely contributes to the high burden of infectious disease morbidity and mortality in low income countries. Data regarding sepsis management in sub-Saharan Africa are limited. We conducted a prospective observational study reporting the management and outcomes of severely septic patients in two Ugandan hospitals. We describe their epidemiology, management, and clinical correlates for mortality. METHODOLOGY/RESULTS:Three-hundred eighty-two patients fulfilled enrollment criteria for a severe sepsis syndrome. Vital signs, management and laboratory results were recorded. Outcomes measured included in-hospital and post-discharge mortality. Most patients were HIV-infected (320/377, 84.9%) with a median CD4+ T cell (CD4) count of 52 cells/mm(3) (IQR, 16-131 cells/mm(3)). Overall mortality was 43.0%, with 23.7% in-hospital mortality (90/380) and 22.3% post-discharge mortality (55/247). Significant predictors of in-hospital mortality included admission Glasgow Coma Scale and Karnofsky Performance Scale (KPS), tachypnea, leukocytosis and thrombocytopenia. Discharge KPS and early fluid resuscitation were significant predictors of post-discharge mortality. Among HIV-infected patients, CD4 count was a significant predictor of post-discharge mortality. Median volume of fluid resuscitation within the first 6 hours of presentation was 500 mLs (IQR 250-1000 mls). Fifty-two different empiric antibacterial regimens were used during the study. Bacteremic patients were more likely to die in hospital than non-bacteremic patients (OR 1.83, 95% CI = 1.01-3.33). Patients with Mycobacterium tuberculosis (MTB) bacteremia (25/249) had higher in-hospital mortality (OR 1.97, 95% CI = 1.19-327) and lower median CD4 counts (p = 0.001) than patients without MTB bacteremia. CONCLUSION:Patients presenting with sepsis syndromes to two Ugandan hospitals had late stage HIV infection and high mortality. Bacteremia, especially from MTB, was associated with increased in-hospital mortality. Most clinical predictors of in-hospital mortality were easily measurable and can be used for triaging patients in resource-constrained settings. Procurement of low cost and high impact treatments like intravenous fluids and empiric antibiotics may help decrease sepsis-associated mortality in resource-constrained settings

Urinary N-methylnicotinamide and β-aminoisobutyric acid predict catch-up growth in undernourished Brazilian children

Enteric infections, enteropathy and undernutrition in early childhood are preventable risk factors for child deaths, impaired neurodevelopment, and later life metabolic diseases. However, the mechanisms linking these exposures and outcomes remain to be elucidated, as do biomarkers for identifying children at risk. By examining the urinary metabolic phenotypes of nourished and undernourished children participating in a case-control study in Semi-Arid Brazil, we identified key differences with potential relevance to mechanisms, biomarkers and outcomes. Undernutrition was found to perturb several biochemical pathways, including choline and tryptophan metabolism, while also increasing the proteolytic activity of the gut microbiome. Furthermore, a metabolic adaptation was observed in the undernourished children to reduce energy expenditure, reflected by increased N-methylnicotinamide and reduced β-aminoisobutyric acid excretion. Interestingly, accelerated catch-up growth was observed in those undernourished children displaying a more robust metabolic adaptation several months earlier. Hence, urinary N-methylnicotinamide and β-aminoisobutyric acid represent promising biomarkers for predicting short-term growth outcomes in undernourished children and for identifying children destined for further growth shortfalls. These findings have important implications for understanding contributors to long-term sequelae of early undernutrition, including cognitive, growth, and metabolic functions. </p

Results Interpretation: Meta-analysis of the output from the regression of standardized cognitive z-score onto LAZ and diarrhea prevalence as continuous variables (model 1).^a.

a<p>. We only report the pooled coefficients for variables with like definitions across study sites (i.e. diarrhea prevalence, LAZ, sex). Variables treated differently across study sites were not pooled (i.e. SES, age at cognitive assessment, maternal education).</p

Description of key study variables and variation in cognitive testing strategies across studies.

a)<p>Maternal education expressed as mean years enrolled in school.</p>b)<p>Maternal education expressed as % of mothers who had not completed primary school.</p

Forest plot of the change in cognitive Z-score per 1% increase in diarrhea prevalence controlling for LAZ score as a continuous variable, mother's education, sex, age at cognition and SES.

<p>Forest plot of the change in cognitive Z-score per 1% increase in diarrhea prevalence controlling for LAZ score as a continuous variable, mother's education, sex, age at cognition and SES.</p

Results of country-level linear regression models to determine the association of diarrhea on cognition.^a^,^b^,^c^,^d^,^e.

a<p>. For each data set, standardized cognitive Z-score served as the outcome of linear regression.</p>b<p>. All four regression analyses controlled for diarrhea prevalence, stunting and sex in the same way. Diarrhea prevalence was coded as the percentage of days/periods during which diarrhea was reported; LAZ was treated as a continuous z-score; sex was a categorical variable (0 = male, 1 = female).</p>c<p>. SES was controlled for differently in each country given the data available from each site: 1) Philippines: controlled for log household income and ownership of assets; 2) Brazil: controlled for monthly income and the number of rooms in the household per person; 3) Peru: controlled for log household income; and 4) Guatemala: controlled for a multi-component SES score (through factor analysis) for the household as a continuous variable and residence in one of four villages.</p>d<p>. Age (in months) at cognitive evaluation was treated as a continuous variable in Philippines, Brazil, and Peru.. In Guatemala, the children were 4 years of age at cognitive assessment, and therefore age was controlled for by the addition of categorical indicator variables for birth year to the regression model.</p>e<p>. In Philippines, Peru and Guatemala, maternal education was defined as the average number of years enrolled in school. In Brazil, maternal education was a categorical variable representing the percentage of mothers that had not completed primary school.</p