Associations of mortality and cardiovascular disease risks with diabetes and albuminuria in urban Indigenous Australians: the DRUID follow-up study

Use of sodium-glucose cotransporter-2 inhibitors among Aboriginal people with type 2 diabetes in remote Northern Territory: 2012 to 2020

Aboriginal people in remote Northern Territory communities experience the highest burden of type 2 diabetes (T2D) globally. Sodium-glucose cotransporter-2 inhibitors (SGLT2i) improve cardiac and renal outcomes in selected populations. However, safety in this context is unknown. We investigated SGLT2i use and outcomes in remote Aboriginal people with T2D between 2012 and 2020.

Performance of cardiovascular risk prediction equations in Indigenous Australians

OBJECTIVE

To assess the performance of cardiovascular disease (CVD) risk equations in Indigenous Australians.

METHODS

We conducted an individual participant meta-analysis using longitudinal data of 3618 Indigenous Australians (55% women) aged 30-74 years without CVD from population-based cohorts of the Cardiovascular Risk in IndigenouS People(CRISP) consortium. Predicted risk was calculated using: 1991 and 2008 Framingham Heart Study (FHS), the Pooled Cohorts (PC), GloboRisk and the Central Australian Rural Practitioners Association (CARPA) modification of the FHS equation. Calibration, discrimination and diagnostic accuracy were evaluated. Risks were calculated with and without the use of clinical criteria to identify high-risk individuals.

RESULTS

When applied without clinical criteria, all equations, except the CARPA-adjusted FHS, underestimated CVD risk (range of percentage difference between observed and predicted CVD risks: -55% to -14%), with underestimation greater in women (-63% to -13%) than men (-47% to -18%) and in younger age groups. Discrimination ranged from 0.66 to 0.72. The CARPA-adjusted FHS equation showed good calibration but overestimated risk in younger people, those without diabetes and those not at high clinical risk. When clinical criteria were used with risk equations, the CARPA-adjusted FHS algorithm scored 64% of those who had CVD events as high risk; corresponding figures for the 1991-FHS were 58% and were 87% for the PC equation for non-Hispanic whites. However, specificity fell.

CONCLUSION

The CARPA-adjusted FHS CVD risk equation and clinical criteria performed the best, achieving higher combined sensitivity and specificity than other equations. However, future research should investigate whether modifications to this algorithm combination might lead to improved risk prediction.

Development and Use of Prediction Models for Classification of Cardiovascular Risk of Remote Indigenous Australians

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death for Indigenous Australians. There is widespread belief that current tools have deficiencies for assessing CVD risk in this high-risk population. We sought to develop a 5-year CVD risk score using a wide range of known risk factors to further improve CVD risk prediction in this population.

METHODS

We used clinical and demographic information on Indigenous people aged between 30 and 74 years without a history of CVD events who participated in the Well Person's Health Check (WPHC), a community-based survey. Baseline assessments were conducted between 1998 and 2000, and data were linked to administrative hospitalisation and death records for identification of CVD events. We used Cox proportional hazard models to estimate the 5-year CVD risk, and the Harrell's c-statistic and the modified Hosmer-Lemeshow (mH-L) χ2 statistic to assess the model discrimination and calibration, respectively.

RESULTS

The study sample consisted of 1,583 individuals (48.1% male; mean age 45.0 year). The risk score consisted of sex, age, systolic blood pressure, diabetes mellitus, waist circumference, triglycerides, and albumin creatinine ratio. The bias-corrected c-statistic was 0.72 and the bias-corrected mH-L χ2 statistic was 12.01 (p-value, 0.212), indicating good discrimination and calibration, respectively. Using our risk score, the CVD risk of the Indigenous Australians could be stratified to a greater degree compared to a recalibrated Framingham risk score.

CONCLUSIONS

A seven-factor risk score could satisfactorily stratify 5-year risk of CVD in an Indigenous Australian cohort. These findings inform future research targeting CVD risk in Indigenous Australians.

HbA1c variability and long-term glycemic control are linked to diabetic retinopathy and glomerular filtration rate in patients with type 1 diabetes and multiethnic background

AIM

To evaluate the associations between HbA1c variability and long-term glycemic control with microvascular complications in type 1 diabetes (T1D) patients and multiethnic background.

METHODS

T1D adults with ≥10 years of follow-up and ≥ 2 HbA1c measurements were included. Glycemic variability was evaluated by the standard deviation (HbA1c-SD), and coefficient of variation (HbA1c-CV), and glycemic control by mean HbA1c over 10 years. Diabetic retinopathy (DR), increased urinary albumin excretion rate (UAER) and reduced glomerular filtration rate (eGFR) were diagnosed. Cardiac autonomic neuropathy (CAN) was diagnosed by cardiac reflex tests. Associations between glycemic parameters with complications were assessed by multivariate logistic regressions.

RESULTS

220 patients were included. Simultaneously adjusted for each other, mean HbA1c was independently associated with DR (OR: 2.82; 95%CI: 1.45-5.50), increased UAER (OR: 1.97; 95%CI: 1.14-3.09) and CAN (OR: 4.42; 95%CI: 1.45-13.51); whereas HbA1c-CV was independently associated with DR (OR: 8.93; 95%CI: 1.86-42.87) and reduced eGFR (OR: 7.02; 95%CI: 1.47-35.55).

CONCLUSIONS

Long-term glycemic control was associated with DR, increased UAER and CAN, while glycemic variability was additionally associated with DR and impaired renal function; suggesting that both good and stable glycemic status might be important to prevent microvascular complications in T1D patients and multiethnic background.

The fasting serum triglyceride levels of elderly population with different progression stages of diabetes mellitus in China

AIMS

This cross-sectional study aimed to investigate triglyceride level among Chinese elderly population with different diabetic progressions and related factors of triglyceride.

METHODS

Study participants (≥65years) were recruited from a nationwide cross-sectional surveillance and were divided into four subgroups according to diabetic progression. Their information was obtained via questionnaire and physical examination. Their lipids in fasting serum samples were analyzed.

RESULTS

The serum triglyceride levels (mmol/L, mean±SD) were 1.3±0.8 (subgroup of no prediabetes and no DM), 1.5±1.0 (subgroup of prediabetes), 1.6±1.1 (subgroup of newly diagnosed DM) and 1.7±1.1 (subgroup of previously diagnosed DM), respectively. Only one female participant had a higher triglyceride than upper limit for prevention of acute pancreatitis (11.0mmol/L). However, 23.1% of participants and 34.8% of DM participants had higher triglyceride than upper limit for prevention of cardiovascular diseases (1.7mmol/L). Triglyceride level was positively correlated with diabetic progression (r_s=0.17, p<0.01). Age, gender, waist-to-height ratio (rather than BMI), systolic pressure, serum total cholesterol and HDL-C levels were statistically correlated with triglyceride level for total participants (R²=0.39, p<0.01).

CONCLUSIONS

Aggravation of serum triglyceride level was related to diabetic progression in Chinese elderly population. Triglyceride control was unsatisfactory in Chinese elderly population, especially in elderly population with DM.