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Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

ABSTRACT: Type 2 diabetes (T2D) has a reported greater prevalence and poorer treatment outcomes in people living with HIV (PLWH) than comparable HIV-uninfected cohorts. We conducted a cross-sectional study to delineate the factors driving T2D in PLWH in an ethnically diverse cohort, and additionally observed how these have changed over time.We studied a diverse HIV cohort in London to determine the prevalence and risk factors for T2D, and compared them to a cohort studied 10 years previously.Patients were classified as normoglycaemic (fasting glucose <6.0 mmol/l) or dysglycaemic (?6.0 mmol/l). The relative contribution to dysglycaemia of modifiable and fixed factors, including demographics, anthropometrics, comorbidities, immune status, and HIV therapy, were analysed using univariate and logistic regression analyses.T2D prevalence was 15.1% in 2015 with a relative risk of 2.4 compared to the general population. The prevalence compared to 6.8% ten years earlier. The 2015 versus the 2005 cohort was significantly older (median age 49 (42-57) years versus 41 (IQR 35-47), p<0.001), had a higher BMI (27.4 (23.3-29.9) versus 24.9 (22.4-28.0) kg/m2 respectively, p = 0.019) and hypertensive (37.9% versus 19.6 respectively, p<0.001). The strongest predictors of dysglycaemia in the 2015 cohort were hepatic steatosis and hypertension, odds ratios (OR) and 95% confidence intervals (CI) 6.74 (3.48-13.03) and 2.92 (1.66-5.16) respectively, and also HIV-related factors of weight gain following antiretroviral initiation and longer known duration of HIV infection (OR 1.07 (1.04-1.11) and 1.06 (1.02-1.10) respectively).The alarmingly high prevalence of T2D in HIV requires improved screening, targeted to older patients and those with a longer duration of exposure to antiretrovirals. Effective diabetes prevention and management strategies are needed urgently to reduce this risk; such interventions should target both conventional risk factors, such as abdominal obesity, and HIV-specific risk factors such as weight gain following initiation of antiretrovirals.

SUBMITTER: Duncan AD

PROVIDER: S-EPMC5847234 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

Duncan Alastair D AD Goff Louise M LM Peters Barry S BS

PloS one 20180312 3

<h4>Background</h4>Type 2 diabetes (T2D) has a reported greater prevalence and poorer treatment outcomes in people living with HIV (PLWH) than comparable HIV-uninfected cohorts. We conducted a cross-sectional study to delineate the factors driving T2D in PLWH in an ethnically diverse cohort, and additionally observed how these have changed over time.<h4>Setting</h4>We studied a diverse HIV cohort in London to determine the prevalence and risk factors for T2D, and compared them to a cohort studie ...[more]

PMID: 29529066

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Project description:Diabetic foot is a serious condition in patients with a long lasting diabetes mellitus. Diabetic foot treated improperly may lead not only to delayed ulceration healing, generalized inflammation, unnecessary surgical intervention, but also to the lower limb amputation. The aim of this study was to compare diabetic foot risk factors in population with type 2 diabetes and risk factors for diabetes in healthy subjects.The study included 900 subjects: 145 with diabetic foot, 293 with type 2 diabetes without diabetic foot and 462 healthy controls matched in terms of mean age, gender structure and cardiovascular diseases absence. Study was conducted in Gastroenterology and Metabolic Diseases Department, Medical University of Warsaw, Poland. In statistical analysis a logistic regression model, U Mann-Whitney's and t-Student test were used.The binomial logit models analysis showed that the risk of diabetic foot in patients with type 2 diabetes was decreased by patient's age (odds ratio [OR] = 0.94; 95% confidence interval [CI]: 0.92-0.96; p = 0.00001) and hyperlipidaemia (OR = 0.54; 95% CI: 0.36-0.81; p = 0.01). In contrast, male gender (OR = 2.83; 95% CI: 1.86-4.28; p = 0.00001) diabetes duration (OR = 1.04; 95% CI: 1.03-1.06; p = 0.0003), weight (OR = 1.04; 95% CI: 1.03-1.06; p = 0.00001), height (OR = 1.08; 95% CI: 1.05-1.11; p = 0.00001) and waist circumference (OR = 1.028; 95% CI: 1.007-1.050; p = 0.006) increase the risk of diabetic foot. The onset of type 2 diabetes in healthy subjects was increased by weight (OR = 1.035; 95% CI: 1.024-1.046; p = 0.00001), WC (OR = 1.075; 95% CI: 1.055-1.096; p = 00001), hip circumference (OR = 1.03; 95% CI: 1.01-1.05; p = 0.005), overweight defined with body mass index (BMI) above 24,9 kg/m(2) (OR = 2.49; 95% CI: 1.77-3.51; p = 0.00001) and hyperlipidaemia (OR = 3.53; 95% CI: 2.57-4.84; p = 0.00001).Risk factors for Type 2 diabetes and diabetic foot are only partially common. Study proved that patients who are prone to developing diabetic foot experience different risk factors than patients who are at risk of diabetes. Identification of relationship between diabetic foot and diabetes risk factors in appropriate groups may help clinicians to focus on certain factors in diabetic foot prevention.

Project description:BackgroundType 2 diabetes (T2D) is a global public health problem, but the onset can be delayed or prevented with adequate intervention in individuals with increased risk. Therefore, a major challenge in general practice is to identify individuals at risk of diabetes. However, limited knowledge is available about the prevalence of high diabetes risk individuals in a primary care population. In a cohort of consecutive patients in general practice we examined the prevalence of known diabetes and estimated risk of diabetes using The Finnish Diabetes Risk Score (FINDRISC) calculator, by sociodemographic and clinical characteristics.MethodsThis study was a cross-sectional study conducted in four general practices in Western and Eastern Norway. A total of 1682 individuals, 20-80 years of age, were assessed for eligibility from May to December 2019. We excluded patients who actively declined participation (n = 112), were lost because of various organization challenges (n = 103) and patients who did not fulfil the inclusions criteria (n = 63). Diabetes prevalence and prevalence of individuals at risk of T2D with 95% confidence intervals (CI) were estimated for the total sample, by age group and for men and women separately. We tested for differences between groups using t-test for continuous variables and chi-square test (Pearson Chi-Square) for categorical variables.ResultsOf 1404 individuals, 132 reported known diabetes, yielding a prevalence of 9.9% (95% CI 8.4-11.6). Among participants without a known diagnosis of diabetes, the following estimates of elevated risk assessment scores were found: FINDRISC score ≥ 11 32.8% (95% CI 30.3-35.4) and FINDRISC ≥ 15 10.0% (95% CI 8.6-11.9). Comparable results were found between the sexes.ConclusionsDetection of unknown diabetes and individuals with increased risk, is of high public health relevance for early implementation of preventive measures aimed to reduce the risk of diabetes and its complications through lifestyle modification. A simple, non-expensive questionnaire, such as FINDRISC, may be valuable as an initial screening method in general practice to identify those in need for preventive measures.

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Dataset Information

Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

Publications

Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

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