Predicting hospitalization among HIV-infected antiretroviral naïve patients starting HAART: Determining clinical markers and exploring social pathways

Hospitalization of HIV positive patients in a referral tertiary care hospital in Antananarivo Madagascar, 2010-2016: Trends, causes and outcome

BACKGROUND

During the last few years, significant efforts have been made to improve access to antiretroviral therapy which led to dramatic reduction in AIDS-related events and mortality in HIV positive patients at the global level. However, current data in Africa suggested modest impact of widespread antiretroviral therapy scale-up especially regarding HIV-related hospitalization. In this study, we aimed to describe causes of hospitalization and factors associated with AIDS-defining events and inpatient mortality.

MATERIALS AND METHODS

A retrospective study was performed on medical records of HIV positive patients admitted for at least 24 hours in the Infectious Diseases Unit of the University Hospital Joseph Raseta Befelatanana Antananarivo. Cause of hospitalization was considered as the main diagnosis related to the symptoms at admission. Diagnostic criteria were based on criteria described in WHO guidelines. AIDS-defining events were defined as diseases corresponding to WHO stage 4 or category C of CDC classification.

RESULTS

From 2010 to 2016, 236 hospital admissions were included. AIDS-defining events were the most frequent cause of hospitalization (61.9%) with an increasing trend during the study period. Tuberculosis (28.4%), pneumocystis pneumonia (11.4%), cerebral toxoplasmosis (7.2%) and cryptococcosis (5.5%) were the most frequent AIDS-defining events. Tuberculosis was also the most frequent cause of overall hospitalization. In multivariate analysis, recent HIV diagnosis (aOR = 2.0, 95% CI: 1.0-3.9), CD4<200 cells/μl (aOR = 4.0, 95%CI: 1.9-8.1), persistent fever (aOR = 4.4, 95%CI: 2.1-9.0), duration of symptoms≥ 6 weeks (aOR = 2.6, 95%CI: 1.2-5.4) were associated with AIDS-defining events. Overall inpatient mortality was 19.5%. Age≥55 years (aOR = 4.9, 95%CI: 1.5-16.6), neurological signs (aOR = 3.2, 95%CI: 1.5-6.9) and AIDS-defining events (aOR = 2.9, 95%CI: 1.2--7.2) were associated with inpatient mortality.

CONCLUSIONS

AIDS-defining events were the most frequent cause of hospitalization during the study period. Factors associated with AIDS-defining events mostly reflected delay in HIV diagnosis. Factors associated with mortality were advanced age, neurological signs and AIDS-defining events.

Lower health-related quality of life predicts all-cause hospitalization among HIV-infected individuals

BACKGROUND

Health-related quality of life (HRQOL) is a patient-centered outcome measure used in assessing the individual's overall functional health status but studies looking at HRQOL as a predictive tool are few. This work examines whether summary scores of HRQOL are predictive of all-cause hospitalization in the US Military HIV Natural History Study (NHS) cohort.

METHODS

The Short Form 36 (SF-36) was administered between 2006 and 2010 to 1711 NHS cohort members whose hospitalization records we had also obtained. Physical component summary scores (PCSS) and mental component summary scores (MCSS) were computed based on standard algorithms. Terciles of PCSS and MCSS were generated with the upper terciles (higher HRQOL) as referent groups. Proportional hazards multivariate regression models were used to estimate the hazard of hospitalization for PCSS and MCSS separately (models 1 and 2, respectively) and combined (model 3).

RESULTS

The hazard ratios (HR) of hospitalization were respectively 2.12 times (95% CI: 1.59-2.84) and 1.59 times (95% CI: 1.19-2.14) higher for the lower and middle terciles compared to the upper PCSS tercile. The HR of hospitalization was 1.33 times (95% CI: 1.02-1.73) higher for the lower compared to the upper MCSS tercile. Other predictors of hospitalization were CD4 count < 200 cells/mm3 (HR = 2.84, 95% CI: 1.96, 4.12), CD4 count 200-349 cells/mm3 (HR = 1.67, 95% CI: 1.24, 2.26), CD4 count 350-499 cells/mm3 (HR = 1.41, 95% CI: 1.09, 1.83), plasma viral load > 50 copies/mL (HR = 1.82, 95% CI: 1.46, 2.26), and yearly increment in duration of HIV infection (HR = 0.94, 95% CI: 0.93, 0.96) (model 3).

CONCLUSION

After controlling for factors associated with hospitalization among those with HIV, both PCSS and MCSS were predictive of all-cause hospitalization in the NHS cohort. HRQOL assessment using the SF-36 may be useful in stratifying hospitalization risk among HIV-infected populations.

Half of 30-Day Hospital Readmissions Among HIV-Infected Patients Are Potentially Preventable

Thirty-day readmission rates, a widely utilized quality metric, are high among HIV-infected individuals. However, it is unknown how many 30-day readmissions are preventable, especially in HIV patients, who have been excluded from prior potentially preventable readmission analyses. We used electronic medical records to identify all readmissions within 30 days of discharge among HIV patients hospitalized at a large urban safety net hospital in 2011. Two independent reviewers assessed whether readmissions were potentially preventable using both published criteria and detailed chart review, how readmissions might have been prevented, and the phase of care deemed suboptimal (inpatient care, discharge planning, post-discharge). Of 1137 index admissions, 213 (19%) resulted in 30-day readmissions. These admissions occurred among 930 unique HIV patients, with 130 individuals (14%) experiencing 30-day readmissions. Of these 130, about half were determined to be potentially preventable using published criteria (53%) or implicit chart review (48%). Not taking antiretroviral therapy (ART) greatly increased the odds of a preventable readmission (OR 5.9, CI:2.4-14.8). Most of the preventable causes of readmission were attributed to suboptimal care during the index hospitalization. Half of 30-day readmission in HIV patients are potentially preventable. Increased focus on early ART initiation, adherence counseling, management of chronic conditions, and appropriate timing of discharge may help reduce readmissions in this vulnerable population.

Substance use disorders and HIV/AIDS prevention and treatment intervention: research and practice considerations

Social workers are often on the front lines of the HIV/AIDS epidemic delivering prevention education and interventions, offering or linking individuals to HIV testing, and working to improve treatment access, retention, and adherence, especially among vulnerable populations. Individuals with substance use disorders face additional challenges to reducing sexual and drug risk behaviors, as well as barriers to testing, treatment, and antiretroviral therapy adherence. This article presents current data on HIV transmission and research evidence on prevention and intervention with substance abusers and highlights how individual social workers can take advantage of this knowledge in practice and through adoption and implementation within organizations.

Hospitalizations in a cohort of HIV patients in Australia, 1999-2007

OBJECTIVES

To describe hospitalization rates, risk factors and associated diagnoses in people with HIV in Australia between 1999 and 2007.

DESIGN

Retrospective cohort study of people with HIV (n = 842) using data linkage between the Australian HIV Observational Database and administrative hospital morbidity data collections.

METHODS

Incidence rate ratios with 95% confidence intervals were estimated using Poisson regression models to assess risk factors for hospitalization. Predictors of length of stay were assessed using generalized mixed models. The association between hospitalization and mortality was assessed using Cox regression.

RESULTS

In 4519 person-years of observation, there were 2667 hospital admissions; incidence rate of 59 per 100 person-years. Hospitalization rates were 50-300% higher in this cohort than comparable age and sex strata in the general population. Older age (incidence rate ratio 1.46, 95% confidence interval 1.28-1.65 per 10-year increase) and prior AIDS (incidence rate ratio 1.71, 95% confidence interval 1.24-2.35) were significantly associated with hospitalization. Other predictors of hospitalization included lower CD4 cell counts, higher HIV RNA, longer duration of HIV infection and experience with more drug classes. Lower CD4 cell counts, older age and hepatitis C virus antibody positivity were independently associated with longer hospital stay. Non-AIDS diseases were the principle reason for admission in the majority of cases. Mortality was associated with more frequent hospitalization during the study period.

CONCLUSION

Hospitalization rates are higher in people with HIV than the general population in Australia and are associated with markers of advanced HIV disease despite the widespread use of combination antiretroviral therapy.

Hospitalization risk following initiation of highly active antiretroviral therapy

OBJECTIVES

While highly active antiretroviral therapy (HAART) decreases long-term morbidity and mortality, its short-term effect on hospitalization rates is unknown. The primary objective of this study was to determine hospitalization rates over time in the year after HAART initiation for virological responders and nonresponders.

METHODS

Hospitalizations among 1327 HAART-naïve subjects in an urban HIV clinic in 1997-2007 were examined before and after HAART initiation. Hospitalization rates were stratified by virological responders (> or =1 log(10) decrease in HIV-1 RNA within 6 months after HAART initiation) and nonresponders. Causes were determined through International Classification of Diseases, 9th Revision (ICD-9) codes and chart review. Multivariate negative binomial regression was used to assess factors associated with hospitalization.

RESULTS

During the first 45 days after HAART initiation, the hospitalization rate of responders was similar to their pre-HAART baseline rate [75.1 vs. 78.8/100 person-years (PY)] and to the hospitalization rate of nonresponders during the first 45 days (79.4/100 PY). The hospitalization rate of responders fell significantly between 45 and 90 days after HAART initiation and reached a plateau at approximately 45/100 PY from 91 to 365 days after HAART initiation. Significant decreases were seen in hospitalizations for opportunistic and nonopportunistic infections.

CONCLUSIONS

The first substantial clinical benefit from HAART may be realized by 90 days after HAART initiation; providers should keep close vigilance at least until this time.

Reduced morbidity and mortality in the first year after initiating highly active anti-retroviral therapy (HAART) among Ugandan adults

OBJECTIVE

To evaluate the effect of highly active anti-retroviral therapy (HAART) and cotrimoxazole prophylaxis on morbidity after HAART eligibility.

METHODS

Between 1999 and 2006, we collected morbidity data from a community-based cohort of HAART-eligible patients, comparing patients initiating HAART and those non-HAART. Patients aged 15 years or older visited the clinic every 6 months and when ill. Baseline data on patients' characteristics, WHO stage, haemoglobin and CD4+ T-cell counts, along with follow-up data on morbidity (new, recurrent and drug-related), were collected for the first year after initiating HAART or becoming HAART-eligible. We estimated the overall effect of HAART on morbidity; adjusted for the effect of cotrimoxazole prophylaxis by Mantel-Haenszel methods. A negative binomial regression model was used to assess rate ratios (RR) after adjustment for other confounders, including cotrimoxazole.

RESULTS

A total of 219 HAART patients (median age 37 years; 73% women; 82% using cotrimoxazole prophylaxis, median haemoglobin 11.7 g/dl and median CD4+ 131 cells/microl) experienced 94 events in 127 person-years. 616 non-HAART patients (median age 33 years; 70% women; 26% using cotrimoxazole prophylaxis, median haemoglobin 11.2 g/dl and median CD4+ 130 cells/microl) experienced 862 events in 474 person-years. The overall morbidity during the first year of HAART was 80% lower than among non-HAART patients (adjusted RR = 0.20, 95% CI: 0.12-0.34). Cotrimoxazole prophylaxis also reduced morbidity (adjusted RR = 0.65, 95% CI: 0.45-0.94).

CONCLUSION

These results confirm the reduction in morbidity due to HAART, and the additional protection of cotrimoxazole prophylaxis.