Importance

Heat exposure is known to have a complex set of physiological effects on multiple organ systems, but current understanding of the health effects is mostly based on studies investigating a small number of prespecified health outcomes such as cardiovascular and respiratory diseases.

Objectives

To identify possible causes of hospital admissions during extreme heat events and to estimate their risks using historical data.

Design, setting, and population

Matched analysis of time series data describing daily hospital admissions of Medicare enrollees (23.7 million fee-for-service beneficiaries [aged ≥65 years] per year; 85% of all Medicare enrollees) for the period 1999 to 2010 in 1943 counties in the United States with at least 5 summers of near-complete (>95%) daily temperature data.

Exposures

Heat wave periods, defined as 2 or more consecutive days with temperatures exceeding the 99th percentile of county-specific daily temperatures, matched to non-heat wave periods by county and week.

Main outcomes and measures

Daily cause-specific hospitalization rates by principal discharge diagnosis codes, grouped into 283 disease categories using a validated approach.

Results

Risks of hospitalization for fluid and electrolyte disorders, renal failure, urinary tract infection, septicemia, and heat stroke were statistically significantly higher on heat wave days relative to matched non-heat wave days, but risk of hospitalization for congestive heart failure was lower (P < .05). Relative risks for these disease groups were 1.18 (95% CI, 1.12-1.25) for fluid and electrolyte disorders, 1.14 (95% CI, 1.06-1.23) for renal failure, 1.10 (95% CI, 1.04-1.16) for urinary tract infections, 1.06 (95% CI, 1.00-1.11) for septicemia, and 2.54 (95% CI, 2.14-3.01) for heat stroke. Absolute risk differences were 0.34 (95% CI, 0.22-0.46) excess admissions per 100,000 individuals at risk for fluid and electrolyte disorders, 0.25 (95% CI, 0.12-0.39) for renal failure, 0.24 (95% CI, 0.09-0.39) for urinary tract infections, 0.21 (95% CI, 0.01-0.41) for septicemia, and 0.16 (95% CI, 0.10-0.22) for heat stroke. For fluid and electrolyte disorders and heat stroke, the risk of hospitalization increased during more intense and longer-lasting heat wave periods (P < .05). Risks were generally highest on the heat wave day but remained elevated for up to 5 subsequent days.

Conclusions and relevance

Among older adults, periods of extreme heat were associated with increased risk of hospitalization for fluid and electrolyte disorders, renal failure, urinary tract infection, septicemia, and heat stroke. However, the absolute risk increase was small and of uncertain clinical importance.

Background

Alcohol use has important adverse effects on people living with HIV (PLWH). This study of patients with recognized unhealthy alcohol use estimated and compared rates of alcohol-related care received by PLWH and HIV- patients.

Methods

Outpatients from the Veterans Health Administration who had one or more positive screen(s) for unhealthy alcohol use (AUDIT-C≥5) documented in their medical records 10/2009-5/2013 were eligible. Primary and secondary outcomes were brief intervention documented ≤14days after a positive alcohol screen, and a composite measure of any alcohol-related care (brief intervention, specialty addictions treatment or pharmacotherapy documented ≤365 days), respectively. Unadjusted and adjusted regression analyses compared alcohol-related care outcomes in PLWH and HIV- patients.

Results

The sample included 830,825 outpatients (3,514 PLWH), reflecting 1,172,606 positive screens (1-5 per patient). For PLWH, 57.0% (95% confidence interval 55.4-58.5%) of positive screens were followed by brief intervention, compared to 73.8% (73.7-73.9%) for HIV- patients [relative rate: 0.77 (0.75-0.79), p<0.001]. After adjustment, comparable proportions were 61.0% (59.3-62.6%) for PLWH and 73.7% (73.6-73.8%) for HIV- patients [adjusted RR=0.83 (0.80-0.85); p<0.001]. Secondary outcome results were similar: for PLWH and HIV- patients, 67.1% (65.7-68.6%) and 77.7% (95% CI 77.7-77.8%) of positive screens, respectively, were followed by any alcohol-related care after adjustment [adjusted RR=0.86 (0.85-0.88), p<0.001].

Conclusions

In this large national sample of VA outpatients with unhealthy alcohol use, PLWH were less likely to receive alcohol-related care than HIV- patients. Special efforts may be needed to ensure alcohol-related care reaches PLWH.

Objective

Unhealthy alcohol use is particularly risky for patients living with HIV (PLWH). Brief interventions reduce drinking among patients with unhealthy alcohol use, but whether its receipt in routine outpatient settings is associated with reduced drinking among PLWH with unhealthy alcohol use is unknown. We assessed whether PLWH who screened positive for unhealthy alcohol use were more likely to resolve unhealthy drinking one year later if they had brief alcohol intervention (BI) documented in their electronic health record in a national sample of PLWH from the Veterans Health Administration.

Methods

Secondary VA clinical and administrative data from the electronic medical record (EMR) were used to identify all positive alcohol screens (AUDIT-C score≥5) documented among PLWH (10/01/09-5/30/13) followed by another alcohol screen documented 9-15months later. Unadjusted and adjusted Poisson regression models assessed the association between brief intervention (advice to reduce drinking or abstain documented in EMR) and resolution of unhealthy alcohol use (follow-up AUDIT-C<5 with ≥2 point reduction).

Results

Overall 2101 PLWH with unhealthy drinking (10/01/09-5/30/13) had repeat alcohol screens 9-15months later. Of those, 77% had brief intervention documented after their first screen, and 61% resolved unhealthy alcohol use at follow-up. Documented brief intervention was not associated with resolution [Adjusted incidence rate ratio 0.96, (95% CI 0.90-1.02)].

Conclusions

Documented brief intervention was not associated with resolving unhealthy alcohol use at follow-up screening among VA PLWH with unhealthy alcohol use. Effective methods of resolving unhealthy alcohol use in this vulnerable population are needed.

Background

Alcohol use influences HIV disease severity through multiple mechanisms. Whether HIV disease severity is sensitive to changes in alcohol use among people with HIV (PWH) is understudied.

Setting

National Veterans Health Administration.

Methods

Pairs of AUDIT-C screens within 9-15 months (February 1, 2008-September 30, 2014) were identified among PWH from the Veterans Aging Cohort Study (VACS). Initial and follow-up VACS Index 2.0 pairs obtained 0-270 days after initial and follow-up AUDIT-Cs, respectively, determined change in VACS Index 2.0, a composite HIV severity measure. Change in VACS Index 2.0 was regressed on AUDIT-C change scores (-12 to +12) adjusted for demographics, initial VACS Index 2.0, and days between VACS Index measures.

Results

Among 23,297 PWH (76,202 observations), most had no (51%) or low-level (38%) alcohol use initially. Most (54%) had no subsequent change; 21% increased and 24% decreased drinking. Initial VACS Index 2.0 scores ranged from 0 to 134, change scores ranged from -65 to +73, with average improvement of 0.76 points (SD 9.48). AUDIT-C change was associated with VACS Index 2.0 change (P < 0.001). Among those with stable alcohol use (AUDIT-C change ≤ │1│ point), VACS Index 2.0 improvements ranged 0.36-0.60 points. For those with maximum AUDIT-C increase (change from 0 to 12), VACS Index 2.0 worsened 3.74 points (95% CI: -4.71 to -2.78); for those with maximum AUDIT-C decrease (change from 12 to 0), VACS Index 2.0 changed minimally [-0.60 (95% CI: -1.43 to 0.23)].

Conclusions

In this national sample, improvement in HIV severity was generally greatest among those with stable alcohol use (primarily those with no use).

Alcohol use increases non-adherence to antiretroviral therapy (ART) among persons living with HIV (PLWH). Dynamic longitudinal associations are understudied. Veterans Aging Cohort Study (VACS) data 2/1/2008-7/31/16 were used to fit linear regression models estimating changes in adherence (% days with ART medication fill) associated with changes in alcohol use based on annual clinically-ascertained AUDIT-C screening scores (range - 12 to + 12, 0 = no change) adjusting for demographics and initial adherence. Among 21,275 PLWH (67,330 observations), most reported no (48%) or low-level (39%) alcohol use initially, with no (55%) or small (39% ≤ 3 points) annual change. Mean initial adherence was 86% (SD 21%), mean annual change was - 3.1% (SD 21%). An inverted V-shaped association was observed: both increases and decreases in AUDIT-C were associated with greater adherence decreases relative to stable scores [p < 0.001, F (4, 21,274)]. PLWH with dynamic alcohol use (potentially indicative of alcohol use disorder) should be considered for adherence interventions.

Background

Among groups of persons living with HIV (PLWH), high-risk drinking trajectories are associated with HIV severity. Whether changes in individuals' alcohol use are associated with changes in HIV severity over the same period is unknown.

Methods

Veterans Aging Cohort Study (VACS) data from VA's EHR (2/1/2008-9/30/2016) identified AUDIT-C screens for all PLWH. Pairs of AUDIT-C screens within 9-15 months were included if CD4 and/or viral load (VL) was measured within 9 months after baseline and follow-up AUDIT-Cs. Linear regression assessed change in HIV severity (CD4 and logVL) associated with AUDIT-C change adjusted for confounders. Mean changes in HIV severity were estimated for each AUDIT-C change value. For all measures of change, positive values indicate improvements (lower drinking and improved HIV severity).

Results

Among PLWH, 21,999 and 22,143 were eligible for CD4 and VL analyses, respectively. Most had non- or low-level drinking and stable consumption over time (mean AUDIT-C change = .08, SD = 1.91). HIV severity improved over time [mean CD4 change = 20.5 (SD 180.8); mean logVL change = 0.12 (SD 0.71)]. AUDIT-C changes were associated non-linearly with changes in CD4 (p = 0.03) and logVL (p < 0.001). Improvement in HIV severity was greatest among those with stable AUDIT-C scores over time; those with greater AUDIT-C increases fared worse than those with smaller increases in or stable AUDIT-Cs.

Conclusions

Improvement in HIV severity was greatest among PLWH with relatively stable drinking, most of whom initially did not drink or drank at low levels. Those with large changes (especially increases) in drinking appear at greatest risk for poor HIV control.