Incidence of diabetes mellitus among people living with and without HIV in British Columbia, Canada between 2001 and 2013: a longitudinal population-based cohort study

Incidence of non-AIDS defining comorbidities among young adults with perinatally acquired HIV in North America

OBJECTIVE

The aim of this study is to describe the incidence of diabetes mellitus type 2 (T2DM), hypercholesterolemia, hypertriglyceridemia, hypertension, and chronic kidney disease (CKD) from 2000 to 2019 among North American adults with perinatally acquired HIV (PHIV) aged 18-30 years.

DESIGN

Description of outcomes based on electronic health records for a cohort of 375 young adults with PHIV enrolled in routine HIV care at clinics contributing data to the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD).

METHODS

We estimated overall, sex, and race-stratified cumulative incidences using Turnbull estimation, and incidence rates using quasi-Poisson regression. T2DM was defined as glycosylated hemoglobin more than 6.5% or based on clinical diagnosis and medication use. Hypercholesterolemia was based on medication use or total cholesterol at least 200 mg/dl. Hypertriglyceridemia was based on medication use or fasting triglyceride at least 150 mg/dl or nonfasting at least 200 mg/dl. Hypertension was based on clinical diagnosis. CKD was defined as estimated glomerular filtration rates less than 90 ml/mi|1.73 m 2 for at least 3 months.

RESULTS

Cumulative incidence by age 30 and incidence rates from age 18 to 30 (per 100 person-years) were T2DM: 19%, 2.9; hypercholesterolemia: 40%, 4.6; hypertriglyceridemia: 50%, 5.6; hypertension: 22%, 2.0; and CKD: 25%, 3.3. Non-Black women had the highest incidence of hypercholesterolemia and hypertriglyceridemia, Black adults had the highest hypertension incidence, and Black men had the highest CKD incidence.

CONCLUSION

There was a high incidence of five chronic comorbidities among people with PHIV. Earlier screening at younger ages might be considered for this unique population to strengthen prevention strategies and initiate treatment in a timely way.

Cardiometabolic health in people with HIV: expert consensus review

OBJECTIVES

To develop consensus data statements and clinical recommendations to provide guidance for improving cardiometabolic health outcomes in people with HIV based on the knowledge and experience of an international panel of experts.

METHODS

A targeted literature review including 281 conference presentations, peer-reviewed articles, and background references on cardiometabolic health in adults with HIV published between January 2016 and April 2022 was conducted and used to develop draft consensus data statements. Using a modified Delphi method, an international panel of 16 experts convened in workshops and completed surveys to refine consensus data statements and generate clinical recommendations.

RESULTS

Overall, 10 data statements, five data gaps and 14 clinical recommendations achieved consensus. In the data statements, the panel describes increased risk of cardiometabolic health concerns in people with HIV compared with the general population, known risk factors, and the potential impact of antiretroviral therapy. The panel also identified data gaps to inform future research in people with HIV. Finally, in the clinical recommendations, the panel emphasizes the need for a holistic approach to comprehensive care that includes regular assessment of cardiometabolic health, access to cardiometabolic health services, counselling on potential changes in weight after initiating or switching antiretroviral therapy and encouraging a healthy lifestyle to lower cardiometabolic health risk.

CONCLUSIONS

On the basis of available data and expert consensus, an international panel developed clinical recommendations to address the increased risk of cardiometabolic disorders in people with HIV to ensure appropriate cardiometabolic health management for this population.

Optimal Look-Back Period to Identify True Incident Cases of Diabetes in Medical Insurance Data in the Chinese Population: Retrospective Analysis Study

BACKGROUND

Accurate estimation of incidence and prevalence is vital for preventing and controlling diabetes. Administrative data (including insurance data) could be a good source to estimate the incidence of diabetes. However, how to determine the look-back period (LP) to remove cases with preceding records remains a problem for administrative data. A short LP will cause overestimation of incidence, whereas a long LP will limit the usefulness of a database. Therefore, it is necessary to determine the optimal LP length for identifying incident cases in administrative data.

OBJECTIVE

This study aims to offer different methods to identify the optimal LP for diabetes by using medical insurance data from the Chinese population with reference to other diseases in the administrative data.

METHODS

Data from the insurance database of the city of Weifang, China from between January 2016 and December 2020 were used. To identify the incident cases in 2020, we removed prevalent patients with preceding records of diabetes between 2016 and 2019 (ie, a 4-year LP). Using this 4-year LP as a reference, consistency examination indexes (CEIs), including positive predictive values, the κ coefficient, and overestimation rate, were calculated to determine the level of agreement between different LPs and an LP of 4 years (the longest LP). Moreover, we constructed a retrograde survival function, in which survival (ie, incident cases) means not having a preceding record at the given time and the survival time is the difference between the date of the last record in 2020 and the most recent previous record in the LP. Based on the survival outcome and survival time, we established the survival function and survival hazard function. When the survival probability, S(t), remains stable, and survival hazard converges to zero, we obtain the optimal LP. Combined with the results of these two methods, we determined the optimal LP for Chinese diabetes patients.

RESULTS

The κ agreement was excellent (0.950), with a high positive predictive value (92.2%) and a low overestimation rate (8.4%) after a 2-year LP. As for the retrograde survival function, S(t) dropped rapidly during the first 1-year LP (from 1.00 to 0.11). At a 417-day LP, the hazard function reached approximately zero (ht=0.000459), S(t) remained at 0.10, and at 480 days, the frequency of S(t) did not increase. Combining the two methods, we found that the optimal LP is 2 years for Chinese diabetes patients.

CONCLUSIONS

The retrograde survival method and CEIs both showed effectiveness. A 2-year LP should be considered when identifying incident cases of diabetes using insurance data in the Chinese population.

Diabetes mellitus among adults on highly active anti-retroviral therapy and its associated factors in Ethiopia: Systematic review and meta-analysis

BACKGROUND

Diabetes mellitus occurs as a comorbid illness among people living with HIV and, in particular those on Highly Active Anti-retroviral therapies (HAART). Previous studies have documented the prevalence of diabetes mellitus among adults on HAART; however, there is lack of comprehensive estimation. Hence, this study was aimed to estimate the pooled prevalence and associated factors of diabetes mellitus among adults on HAART in Ethiopia.

METHODS

Primary studies were exhaustively searched using Cochrane, PubMed, Google Scholar, Scopus and Web of science databases until February 2021. Eligible studies were selected and critically appraised for quality using the Joanna Briggs Institute (JBI) quality appraisal checklist. The required data were extracted and exported to Stata version 16 for meta-analysis. The overall prevalence of diabetes mellitus among adults on HAART was estimated using a weighted inverse random effect model. Sensitivity and sub-group analysis were conducted for evidence of heterogeneity. Trim and fill analysis was performed after Egger's test and funnel plot were indicating the presence of publication bias.

RESULTS

A total of 17 studies with 6,052 subjects on HAART were included. The pooled prevalence of diabetes mellitus among patients on HAART was 16.04% [95% Confidence Interval (CI); 11.6, 20.92]. Abnormal High Density Lipoprotein Cholesterol (HDL-C) [Adjusted Odd Ratio (AOR) = 4.68, 95% CI; 2.54, 6.82], Body Mass Index (BMI) ≥ 25 kg/m² [AOR = 7.41, 95% CI; 2.75, 12.08], ≥6 years ART [AOR = 8.14, 95% CI; 5.85, 30.43], hypertension [AOR = 3.29, 95% CI; 2.13, 4.45], age 35-44 years [AOR = 6.28; 95% CI; 4.20, 8.37, BMI ≥ 30 kg/m² [AOR = 7.81, 95% CI; 4.97, 10.64], educational status above diploma [AOR = 6.42, 95% CI; 1.28, 11.57] and age 45-55 years [AOR = 4.46, 95% CI; 2.81, 6.10] were positively associated with diabetes mellitus comorbidity among adults on HAART.

CONCLUSION

The higher prevalence of diabetes mellitus was observed for adults on HAART. HDL-C, duration of ART, hypertension, overweight, obesity, age and educational status of participants increases the prevalence of diabetes mellitus. The study highlights the importance of timely screening of HDL-C level, blood pressure and BMI for adults on HAART.