22 research outputs found
Five-year change of clinical and complications profile of diabetic patients under primary care: a population-based longitudinal study on 127,977 diabetic patients
Effects of the Multidisciplinary Risk Assessment and Management Program for Patients with Diabetes Mellitus (RAMP-DM) on biomedical outcomes, observed cardiovascular events and cardiovascular risks in primary care: a longitudinal comparative study
Statin use reduces cardiovascular events and all-cause mortality amongst Chinese patients with type 2 diabetes mellitus: a 5-year cohort study
Abstract Background The benefit of statin on the management of Type 2 Diabetes Mellitus (T2DM) among Chinese patients in primary care is not clear nor fully implemented in clinical practice. This study aimed to evaluate and quantify the benefit of statin on the overall cardiovascular risk and all-cause mortality in patients with T2DM. Methods Uncomplicated diabetic patients with baseline low-density-lipoprotein cholesterol (LDL-C)Â >Â 2.6Â mmol/L and without statin use before baseline in 2010 were followed-up for 5Â years for cardiovascular disease (CVD) events and all-cause mortality. Propensity score matching analysis was conducted to identify patients who were newly prescribed statin at baseline and then compared to non-statin users with similar baseline characteristics. Subgroup analysis was done within the statin group to detect any difference in outcomes between patients achieving target LDL-C of <2.6Â mmol/L and not. Multivariable Cox proportional hazards regression with adjustment of all baseline covariates was used to evaluate the effect of statin on outcome events. Hazard ratio (HR) and its 95% confidence intervals were reported. Results 10,104 pairs of diabetic patients were propensity score matched. Statin users had an extra drop of 1.21Â mmol/L in LDL-C than non-users. Statin group had a CVD incidence rate of 16.533 per 1000 person-years whereas comparison group had 32.387 per 1000 person-years (HR: 0.458) during a median follow-up period of 50.5Â months. Statin group had a mortality rate of 8.138 deaths per 1000 person-years whereas comparison group had 19.603 deaths per 1000 person-years (HR: 0.378). For patients prescribed with statin, the HR was 0.491 for CVD and 0.487 for all-cause mortality if target of LDL-CÂ <Â 2.6Â mmol/L achieved compare to those not achieved. Conclusions Use of statin was associated with a significant decrease in CVD risk and all-cause mortality among diabetic patients in primary care, and the risk reduction was most significant if the target of LDL-C less than 2.6Â mmol/L was achieved
Association of Hemoglobin A1c Levels With Cardiovascular Disease and Mortality in Chinese Patients With Diabetes
Mothers’ health-related quality of life: Its relationship with children’s health-related quality of life and behavior in low-income families
Objective: To examine the association between mothers’ health-related quality of life (HRQOL) and their children’s HRQOL and behavior in low-income families. Methods: Mothers of 278 children aged 6–12 years from low-income families were invited to complete the Child Health Questionnaire Parent Form 50 (CHQ-PF50) and the Strength and Difficulties Questionnaire (SDQ) for their children as well as the 12-item Short-Form Health Survey version 2 (SF-12v2) and the Patient Health Questionnaire-2 (PHQ-2). Multiple linear regressions with mother–child pairs as the unit of analysis were performed to examine the associations between maternal and child variables with adjustment of mother- and child-level confounders. Results: Compared with the general population, low-income mothers had a lower mean SF-12v2 mental component summary score and their children also had lower mean CHQ-PF50 physical and psychosocial summary scores and SDQ total difficulties score. Children of mothers with SF-12v2 scores below the population mean of 50 had significantly worse CHQ-PF50 scores and higher SDQ total difficulties scores. The mother’s PHQ-2 depression status had no association with the child’s CHQ-PF50 scores. Conclusion: Our findings suggest that more attention should be paid to reducing the negative impact of health problems on mothers’ daily roles in childcare in low-income families
Poverty and health-related quality of life of people living in Hong Kong: comparison of individuals from low-income families and the general population
Prediction of new onset of end stage renal disease in Chinese patients with type 2 diabetes mellitus – a population-based retrospective cohort study
Abstract Background Since diabetes mellitus (DM) is the leading cause of end stage renal disease (ESRD), this study aimed to develop a 5-year ESRD risk prediction model among Chinese patients with Type 2 DM (T2DM) in primary care. Methods A retrospective cohort study was conducted on 149,333 Chinese adult T2DM primary care patients without ESRD in 2010. Using the derivation cohort over a median of 5 years follow-up, the gender-specific models including the interaction effect between predictors and age were derived using Cox regression with a forward stepwise approach. Harrell’s C-statistic and calibration plot were applied to the validation cohort to assess discrimination and calibration of the models. Results Prediction models showed better discrimination with Harrell’s C-statistics of 0.866 (males) and 0.862 (females) and calibration power from the plots than other established models. The predictors included age, usages of anti-hypertensive drugs, anti-glucose drugs, and Hemogloblin A1c, blood pressure, urine albumin/creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). Specific predictors for male were smoking and presence of sight threatening diabetic retinopathy while additional predictors for female included longer duration of diabetes and quadratic effect of body mass index. Interaction factors with age showed a greater weighting of insulin and urine ACR in younger males, and eGFR in younger females. Conclusions Our newly developed gender-specific models provide a more accurate 5-year ESRD risk predictions for Chinese diabetic primary care patients than other existing models. The models included several modifiable risk factors that clinicians can use to counsel patients, and to target at in the delivery of care to patients