Anti-HIV Monoclonal antibody

Background: There are limited data on the outcomes of acute myocardial infarction-cardiogenic shock (AMI-CS) in patients with HIV infection and AIDS. Setting: Twenty percent sample of all US hospitals. Methods: A retrospective cohort of AMI-CS during 2000-2017 from the National Inpatient Sample was evaluated for concomitant HIV and AIDS. Outcomes of interest included in-hospital mortality and use of cardiac procedures. A subgroup analysis was performed for those with and without AIDS within the HIV cohort. Results: A total 557,974 AMI-CS admissions were included, with HIV and AIDS in 1321 (0.2%) and 985 (0.2%), respectively. The HIV cohort was younger (54.1 vs. 69.0 years), more often men, of non-White race, uninsured, from a lower socioeconomic status, and with higher comorbidity (all P < 0.001). The HIV cohort had comparable multiorgan failure (37.8% vs. 39.0%) and cardiac arrest (28.7% vs. 27.4%) (P > 0.05). The cohorts with and without HIV had comparable rates of coronary angiography (70.2% vs. 69.0%; P = 0.37) but less frequent early coronary angiography (hospital day zero) (39.1% vs. 42.5%; P < 0.001). The cohort with HIV had higher unadjusted but comparable adjusted in-hospital mortality compared with those without [26.9% vs. 37.4%; adjusted odds ratio 1.04 (95% confidence interval: 0.90 to 1.21); P = 0.61]. In the HIV cohort, AIDS was associated with higher in-hospital mortality [28.8% vs. 21.1%; adjusted odds ratio 4.12 (95% confidence interval: 1.89 to 9.00); P < 0.001]. Conclusions: The cohort with HIV had comparable rates of cardiac procedures and in-hospital mortality; however, those with AIDS had higher in-hospital mortality.

Background: Clinicians and health departments would ideally undertake targeted efforts to promote HIV pre-exposure prophylaxis (PrEP) and frequent HIV testing using data-based criteria to identify populations at elevated risk for HIV. We developed an HIV risk prediction score for men who have sex with men (MSM) to identify individuals at substantial risk for HIV acquisition. Methods: We created a retrospective cohort of MSM who tested HIV-negative at the sexually transmitted disease clinic in Seattle, WA, from 2001 to 2015, and identified seroconversions using HIV surveillance data. We split the cohort randomly 2:1 into derivation and validation data sets, and used Cox proportional hazards to estimate the hazard of acquiring HIV associated with behavioral and clinical predictors, and the Akaike information criterion to determine which variables to retain in our model. Results: Among 16,448 MSM, 640 seroconverted over a 14.3-year follow-up period. The best prediction model included 13 variables and had an area under the receiver operating characteristic curve of 0.73 (95% confidence interval: 0.71 to 0.76), 76% sensitivity, and 63% specificity at a score cutoff >= 11. A simplified model restricted to 2011-2015 included 4 predictors [methamphetamine use, condomless receptive anal intercourse (CRAI), >= 10 partners, and current diagnosis or self-reported gonorrhea/syphilis in the past year]. This model, the Seattle PrEP Score, had an area under the receiver operating characteristic curve of 0.69 (95% confidence interval: 0.64 to 0.73), 62% sensitivity, and 70% specificity. One-year incidence was 0.5% for a score of 0, 0.7% for a score of 1, and 2.1% for scores >= 2. Conclusions: The Seattle PrEP Score was predictive of HIV acquisition and could help clinicians and public health agencies identify MSM who could benefit from PrEP and frequent HIV testing.