Risk factors for new-onset diabetes mellitus in patients receiving protease inhibitor therapy

Management of infection among Medicare beneficiaries with HIV/AIDS: risk of diabetes with protease inhibitors and associated racial disparities using big data approach

Association between protease inhibitors (PI) and Type II diabetes mellitus (T2DM) in human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) patients is largely debated. This study examined the odds of developing T2DM among HIV/AIDS Medicare beneficiaries treated with PI and possible racial disparities in the odds. We performed a nested casecontrol study of Medicare database 2013-2017. We included HIV/AIDS positive beneficiaries who were enrolled continuously in Medicare Part A/B with no previous history of T2DM. PI-users were matched to non-PI users and non-anti-retroviral therapies (ART) users using a1:1 greedy propensity score (PS) matching . Multivariablee logistic regressions were performed to assess the odds of developing T2DM. The analysis included 2,353 HIV/AIDS beneficiaries. Matched samples were generated for PI vs. non-PI groups (n = 484) and PI vs. non-ART groups (n = 490). Compared to the non-PI group, the odds of developing T2DM were higher in PI-users (AOR: 1.76; 95% CI: 1.17-2.64), in Caucasian PI-users (AOR: 1.81; 95% CI: 1.02-3.22) and in African-American PI-users (AOR: 1.86; 95% CI: 1.03-3.36). Compared to the non-ART group, the odds of developing T2DM were higher in PI-users (AOR: 1.87; 95% CI: 1.25-2.81), in Caucasian PI-users (AOR: 1.96; 95% CI: 1.14-3.39) and in African-American PI-users (AOR: 2.05; 95% CI: 1.03-4.09). The use of PI is associated with higher odds of T2DM; odds were higher among African-Americans than Caucasians.

Bioenergetic adaptations to HIV infection. Could modulation of energy substrate utilization improve brain health in people living with HIV-1?

The human brain consumes more energy than any other organ in the body and it relies on an uninterrupted supply of energy in the form of adenosine triphosphate (ATP) to maintain normal cognitive function. This constant supply of energy is made available through an interdependent system of metabolic pathways in neurons, glia and endothelial cells that each have specialized roles in the delivery and metabolism of multiple energetic substrates. Perturbations in brain energy metabolism is associated with a number of different neurodegenerative conditions including impairments in cognition associated with infection by the Human Immunodeficiency Type 1 Virus (HIV-1). Adaptive changes in brain energy metabolism are apparent early following infection, do not fully normalize with the initiation of antiretroviral therapy (ART), and often worsen with length of infection and duration of anti-retroviral therapeutic use. There is now a considerable amount of cumulative evidence that suggests mild forms of cognitive impairments in people living with HIV-1 (PLWH) may be reversible and are associated with specific modifications in brain energy metabolism. In this review we discuss brain energy metabolism with an emphasis on adaptations that occur in response to HIV-1 infection. The potential for interventions that target brain energy metabolism to preserve or restore cognition in PLWH are also discussed.

Impaired insulin sensitivity is associated with worsening cognition in HIV-infected patients

OBJECTIVE

To determine the association of insulin sensitivity and metabolic status with declining cognition in HIV-infected individuals.

METHODS

We conducted targeted clinical and metabolic measures in longitudinal plasma samples obtained from HIV-infected patients enrolled in the Central Nervous System HIV Anti-Retroviral Therapy Effects Research Study (CHARTER). Findings were validated with plasma samples from the Multicenter AIDS Cohort Study (MACS). Patients were grouped according to longitudinally and serially assessed cognitive performance as having stably normal or declining cognition.

RESULTS

Patients with declining cognition exhibited baseline hyperinsulinemia and elevated plasma c-peptide levels with normal c-peptide/insulin ratios, suggesting that insulin production was increased, but insulin clearance was normal. The association of hyperinsulinemia with worsening cognition was further supported by low high-density lipoprotein (HDL), high low-density lipoprotein/HDL ratio, and elevated cholesterol/HDL ratio compared to patients with stably normal cognition.

CONCLUSIONS

These findings suggest that hyperinsulinemia and impaired insulin sensitivity are associated with cognitive decline in antiretroviral therapy-treated HIV-infected patients.

New-onset diabetes in HIV-treated adults: predictors, long-term renal and cardiovascular outcomes

OBJECTIVE

To determine the incidence and risk factors for developing diabetes mellitus in a cohort of Thai HIV-infected patients on long-term combination antiretroviral therapy (cART).

DESIGN

Prospective study conducted between July 1996 and 30 April 2015.

METHODS

A total of 1748 patients (60% men) who did not have diabetes mellitus prior to ART were assessed twice a year. Incident diabetes mellitus was defined as either having two consecutive fasting glucose levels more than 126 mg/dl, or reporting antidiabetes mellitus medication/diabetes mellitus diagnosis after starting cART. Incidence rates were calculated per 1000 person-year follow-up. Multivariate Cox regression was used to determine risk factors for the development of diabetes mellitus.

RESULTS

During a median follow-up of 9 years (16 274 person-year of follow-up), 123 patients developed new-onset diabetes mellitus, resulting in an incidence rate of 7.6 (95% confidence interval 6.3-9) per 1000 person-year of follow-up. From the multivariate models, age more than 35 years, male sex, BMI at least 25 kg/m, family history of diabetes, abnormal waist circumference, lipodystrophy and exposure to didanosine were significantly associated with incident diabetes mellitus. The diabetes mellitus group had higher mortality rate (8.1 vs. 4.1%, P = 0.04). A significantly higher proportion diabetes vs. nondiabetes patients developed cardiovascular and cerebrovascular complications (8.9 vs. 3.6%, P = 0.008) or chronic kidney disease stage III (estimated glomerular filtration rate <60 ml/min/1.73 m) (15.3 vs. 1.9%, P < 0.001) over total follow-up.

CONCLUSION

In addition to traditional risk factors, lipodystrophy and use of didanosine were strongly associated with development of incident diabetes. Given the higher rate of cardiovascular-cerebrovascular complications and chronic kidney disease among patients with diabetes mellitus, careful assessment and appropriate management of diabetes mellitus are essential.

HIV Infection and Primary Prevention of Cardiovascular Disease: Lights and Shadows in the HAART Era

With the progressive increase in life-expectancy of human immunodeficiency virus (HIV)-positive patients in the "highly active antiretroviral therapy" (HAART) era, co-morbidities, particularly cardiovascular (CV) diseases (CVD) are emerging as an important concern. The pathophysiology of CVD in this population is complex, due to the interaction of classical CV risk factors, viral infection and the effects of antiretroviral therapy (ARV). The role of ARV drugs in HIV is double edged. While these drugs reduce systemic inflammation, an important factor in CV development, they may at the same time be proatherogenic by inducing dyslipidemia, body fat redistribution and insulin resistance. In these patients primary prevention is challenging, considering the lower median age at which acute coronary syndromes occur. Furthermore prevention is still limited by the lack of robust evidence-based, HIV-specific recommendations. Therefore we performed a comprehensive evaluation of the literature to analyze current knowledge on CVD prevalence in HIV-infected patients, traditional and HIV-specific risk factors and risk stratification, and to summarize the recommendations for primary prevention of CVD in this HIV population.

New-Onset Diabetes and Antiretroviral Treatments in HIV-Infected Adults in Thailand

BACKGROUND

Use of several antiretrovirals (ARVs) has been shown to be associated with a higher risk of diabetes in HIV-infected adults. We estimated the incidence of new-onset diabetes and assessed the association between individual ARVs and ARV combinations, and diabetes in a large cohort in Thailand.

METHODS

We selected all HIV-1-infected, nondiabetic, antiretroviral-naive adults enrolled in the Program for HIV Prevention and Treatment cohort (NCT00433030) between January 2000 and December 2011. Diabetes was defined as confirmed fasting plasma glucose ≥ 126 mg/dL or random plasma glucose ≥ 2 00 mg/dL. Incidence was the number of cases divided by the total number of person-years of follow-up. Association between ARVs and ARV combinations, and new-onset diabetes was assessed using Cox proportional hazards models.

RESULTS

Overall, 1594 HIV-infected patients (76% female) were included. Median age at antiretroviral therapy initiation was 32.5 years. The incidence rate of diabetes was 5.0 per 1000 person-years of follow-up (95% confidence interval: 3.8 to 6.6) (53 cases). In analyses adjusted for potential confounders, exposure to stavudine + didanosine [adjusted hazard ratio (aHR) = 3.9; P = 0.001] and cumulative exposure ≥ 1 year to zidovudine (aHR = 2.3 vs. no exposure; P = 0.009) were associated with a higher risk of diabetes. Conversely, cumulative exposure ≥ 1 year to tenofovir (aHR = 0.4 vs. no exposure; P = 0.02) and emtricitabine (aHR = 0.4 vs. no exposure; P = 0.03) were associated with a lower risk.

CONCLUSIONS

The incidence of diabetes in this predominantly female, young, lean population was relatively low. Although stavudine and didanosine have now been phased out in most antiretroviral therapy programs, our analysis suggests a higher risk of diabetes with zidovudine, frequently prescribed today in resource-limited settings.

Predicting the short-term risk of diabetes in HIV-positive patients: the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study

Introduction

HIV-positive patients receiving combination antiretroviral therapy (cART) frequently experience metabolic complications such as dyslipidemia and insulin resistance, as well as lipodystrophy, increasing the risk of cardiovascular disease (CVD) and diabetes mellitus (DM). Rates of DM and other glucose-associated disorders among HIV-positive patients have been reported to range between 2 and 14%, and in an ageing HIV-positive population, the prevalence of DM is expected to continue to increase. This study aims to develop a model to predict the short-term (six-month) risk of DM in HIV-positive populations and to compare the existing models developed in the general population.

Methods

All patients recruited to the Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study with follow-up data, without prior DM, myocardial infarction or other CVD events and with a complete DM risk factor profile were included. Conventional risk factors identified in the general population as well as key HIV-related factors were assessed using Poisson-regression methods. Expected probabilities of DM events were also determined based on the Framingham Offspring Study DM equation. The D:A:D and Framingham equations were then assessed using an internal-external validation process; area under the receiver operating characteristic (AUROC) curve and predicted DM events were determined.

Results

Of 33,308 patients, 16,632 (50%) patients were included, with 376 cases of new onset DM during 89,469 person-years (PY). Factors predictive of DM included higher glucose, body mass index (BMI) and triglyceride levels, and older age. Among HIV-related factors, recent CD4 counts of<200 cells/µL and lipodystrophy were predictive of new onset DM. The mean performance of the D:A:D and Framingham equations yielded AUROC of 0.894 (95% CI: 0.849, 0.940) and 0.877 (95% CI: 0.823, 0.932), respectively. The Framingham equation over-predicted DM events compared to D:A:D for lower glucose and lower triglycerides, and for BMI levels below 25 kg/m².

Conclusions

The D:A:D equation performed well in predicting the short-term onset of DM in the validation dataset and for specific subgroups provided better estimates of DM risk than the Framingham.

Predictors of new-onset diabetes in patients treated with atorvastatin: results from 3 large randomized clinical trials

OBJECTIVES

We sought to examine the incidence and clinical predictors of new-onset type 2 diabetes mellitus (T2DM) within 3 large randomized trials with atorvastatin.

BACKGROUND

Statin therapy might modestly increase the risk of new-onset T2DM.

METHODS

We used a standard definition of diabetes and excluded patients with prevalent diabetes at baseline. We identified baseline predictors of new-onset T2DM and compared the event rates in patients with and without new-onset T2DM.

RESULTS

In the TNT (Treating to New Targets) trial, 351 of 3,798 patients randomized to 80 mg of atorvastatin and 308 of 3,797 randomized to 10 mg developed new-onset T2DM (9.24% vs. 8.11%, adjusted hazard ratio [HR]: 1.10, 95% confidence interval [CI]: 0.94 to 1.29, p = 0.226). In the IDEAL (Incremental Decrease in End Points Through Aggressive Lipid Lowering) trial, 239 of 3,737 patients randomized to atorvastatin 80 mg/day and 208 of 3,724 patients randomized to simvastatin 20 mg/day developed new-onset T2DM (6.40% vs. 5.59%, adjusted HR: 1.19, 95% CI: 0.98 to 1.43, p = 0.072). In the SPARCL (Stroke Prevention by Aggressive Reduction in Cholesterol Levels) trial, new-onset T2DM developed in 166 of 1,905 patients randomized to atorvastatin 80 mg/day and in 115 of 1,898 patients in the placebo group (8.71% vs. 6.06%, adjusted HR: 1.37, 95% CI: 1.08 to 1.75, p = 0.011). In each of the 3 trials, baseline fasting blood glucose, body mass index, hypertension, and fasting triglycerides were independent predictors of new-onset T2DM. Across the 3 trials, major cardiovascular events occurred in 11.3% of patients with and 10.8% of patients without new-onset T2DM (adjusted HR: 1.02, 95% CI: 0.77 to 1.35, p = 0.69).

CONCLUSIONS

High-dose atorvastatin treatment compared with placebo in the SPARCL trial is associated with a slightly increased risk of new-onset T2DM. Baseline fasting glucose level and features of the metabolic syndrome are predictive of new-onset T2DM across the 3 trials.

Low physical function as a risk factor for incident diabetes mellitus and insulin resistance

Data from 1790 HIV-infected and uninfected men in the Multicenter AIDS Cohort Study (MACS) were analyzed to evaluate relationships between physical function, incident diabetes mellitus (DM) and insulin resistance among HIV-infected and -uninfected men. DM was defined in two ways, using less stringent and more stringent criteria. The 10-item Physical Functioning Scale from the Short Form-36 Health Survey measured baseline physical function. Cumulative DM incidence was highest among HIV-uninfected and HIV-infected men with low physical function. Physical function was a risk factor for DM in HIV-uninfected men and remained so after controlling for BMI, DM family history and race. Among HIV-infected men, physical function was an independent risk factor for DM using the less stringent diabetes definition. This study supports our previous findings that low physical function is an important risk factor for DM in the MACS cohort.

HIV-associated neurocognitive disorder: pathogenesis and therapeutic opportunities

Human immunodeficiency virus type 1 (HIV) infection presently affects more that 40 million people worldwide, and is associated with central nervous system (CNS) disruption in at least 30% of infected individuals. The use of highly active antiretroviral therapy has lessened the incidence, but not the prevalence of mild impairment of higher cognitive and cortical functions (HIV-associated neurocognitive disorders) as well as substantially reduced a more severe form dementia (HIV-associated dementia). Furthermore, improving neurological outcomes will require novel, adjunctive therapies that are targeted towards mechanisms of HIV-induced neurodegeneration. Identifying such molecular and pharmacological targets requires an understanding of the events preceding irreversible neuronal damage in the CNS, such as actions of neurotoxins (HIV proteins and cellular factors), disruption of ion channel properties, synaptic damage, and loss of adult neurogenesis. By considering the specific mechanisms and consequences of HIV neuropathogenesis, unified approaches for neuroprotection will likely emerge using a tailored, combined, and non-invasive approach.