Hyperglycemia and Risk of All-cause Mortality Among People Living With HIV With and Without Tuberculosis Disease in Myanmar (2011-2017)

The prevalence of hyperglycemia and its impact on mortality among people living with HIV in Georgia

BACKGROUND

Life expectancy and quality of life of people living with HIV have been dramatically improved after introducing antiretroviral therapy, and the prevalence of non-communicable diseases has increased. Several studies have found that hyperglycemia with or without type 2 diabetes was associated with poor outcomes in people living with HIV. The study's objective was to determine the prevalence of hyperglycemia and assess its impact on mortality.

MATERIALS AND METHODS

A retrospective cohort study was conducted among people living with HIV diagnosed in 2012-2018 and followed through 2020 at the Infectious Diseases, AIDS and Clinical Immunology Research Center in Tbilisi, Georgia. Primary outcomes of interest included the prevalence of hyperglycemia and mortality. Causes of death were classified according to the Coding of Death in HIV (CoDe) protocol.

RESULTS

Our study included 2914 people living with HIV. Two hundred and forty-two (8.3%) patients had hyperglycemia, with an increasing prevalence by age. Three hundred one (9.7%) participants died over the median 3.71 (IQR: 2.14-5.37) years of follow-up. Among these, 139 (46.2%) were due to AIDS- related causes, 123 (40.9%)-were due to non-AIDS causes, and in 39 (12.9%) cases, the cause of death could not be determined. Overall, the cohort contributed to 11,148 person-years of follow-up (PYFU), translating into a mortality rate of 2.70 deaths per 100 PYFU. The mortality rate was significantly higher among individuals with hyperglycemia-11.17 deaths per 100 PYFU vs 2.07 deaths per 100 PYFU among normoglycemic patients(p<0.0001).

CONCLUSIONS

Hyperglycemia was associated with increased odds of mortality. Screening and management of hyperglycemia should be integrated into routine HIV clinical services as part of a comprehensive care package.

A systematic review of quantitative bias analysis applied to epidemiological research

BACKGROUND

Quantitative bias analysis (QBA) measures study errors in terms of direction, magnitude and uncertainty. This systematic review aimed to describe how QBA has been applied in epidemiological research in 2006-19.

METHODS

We searched PubMed for English peer-reviewed studies applying QBA to real-data applications. We also included studies citing selected sources or which were identified in a previous QBA review in pharmacoepidemiology. For each study, we extracted the rationale, methodology, bias-adjusted results and interpretation and assessed factors associated with reproducibility.

RESULTS

Of the 238 studies, the majority were embedded within papers whose main inferences were drawn from conventional approaches as secondary (sensitivity) analyses to quantity-specific biases (52%) or to assess the extent of bias required to shift the point estimate to the null (25%); 10% were standalone papers. The most common approach was probabilistic (57%). Misclassification was modelled in 57%, uncontrolled confounder(s) in 40% and selection bias in 17%. Most did not consider multiple biases or correlations between errors. When specified, bias parameters came from the literature (48%) more often than internal validation studies (29%). The majority (60%) of analyses resulted in >10% change from the conventional point estimate; however, most investigators (63%) did not alter their original interpretation. Degree of reproducibility related to inclusion of code, formulas, sensitivity analyses and supplementary materials, as well as the QBA rationale.

CONCLUSIONS

QBA applications were rare though increased over time. Future investigators should reference good practices and include details to promote transparency and to serve as a reference for other researchers.

Survival after long-term ART exposure: findings from an Asian patient population retained in care beyond 5 years on ART

BACKGROUND

This study investigated survival in people living with HIV being followed-up from 5 and 10 years after antiretroviral therapy (ART) initiation in a multi-country Asian cohort.

METHODS

We included patients in follow-up >5 years after ART initiation. Factors associated with mortality beyond 5 and 10 years on ART were analysed using competing risk regression with time-updated variables.

RESULTS

Of 13,495 patients retained after 5 years on ART, 279 subsequently died (0.56/100 person-years). Increased mortality was associated with age >50 years (sub-hazard ratio [sHR] 2.24, 95% CI 1.58, 3.15, compared with ≤40 years), HIV exposure through injecting drug use (sHR 2.17, 95% CI 1.32, 3.56), HIV viral load ≥1,000 copies/ml: sHR 1.52, 95% CI 1.05, 2.21, compared with <400), regimen (second-line regimen: sHR 2.11, 95% CI 1.52, 2.94, and third-line regimen: sHR 2.82, 95% CI 2.00, 3.98, compared with first-line regimen), HBV coinfection (sHR 2.23, 95% CI 1.49, 3.33), fasting plasma glucose ≥126 mg/dl (sHR 1.98, 95% CI 1.22, 3.21, compared with <100 mg/dl) and estimated glomerular filtration rate <60 ml/min/1.73 m² (sHR 2.57, 95% CI 1.56, 4.22). Decreased mortality was associated with transmission through male-to-male sexual contact (sHR 0.44, 95% CI 0.22, 0.88, compared with heterosexual transmission) and higher CD4⁺ T-cell count (200-349 cells/µl: sHR 0.27, 95% CI 0.20, 0.38, 350-499 cells/µl: sHR 0.10, 95% CI 0.07, 0.16 and ≥500 cells/µl: sHR 0.09, 95% CI 0.06, 0.13, compared with <200 cells/µl). Results after 10 years were similar, but most associations were weaker due to limited power.

CONCLUSIONS

Next to preventing ART failure, HIV programmes should carefully monitor and treat comorbidities, including hepatitis, kidney disease and diabetes, to optimize survival after long-term ART exposure.