Age-specific associations between the number of co-morbidities, all-cause mortality and public direct medical costs in patients with type 2 diabetes: A retrospective cohort study.

AIM: To evaluate the association between the number of co-morbidities, all-cause mortality and public health system expenditure in patients with type 2 diabetes (T2D) across different age groups. MATERIALS AND METHODS: A retrospective observational study of T2D patients using electronic health records in Hong Kong was conducted. Patients were stratified by age (< 50, 50-64, 65-79, ≥ 80 years) and the number of co-morbidities (0, 1, 2, 3, ≥ 4), defined using the Charlson Comorbidity Index and prevalent chronic diseases identified in local surveys. The association between the number of co-morbidities, all-cause mortality and direct medical costs was examined using Cox proportional hazard regression and the gamma generalized linear model with log link function. RESULTS: A total of 262 212 T2D patients with a median follow-up of 10 years were included. Hypertension and dyslipidaemia were the most common co-morbidities in all age groups. After age stratification, cardiovascular diseases dominated the top pair of co-morbidities in the older age groups (65-79 and ≥ 80 years), while inflammatory and liver disease were predominant among younger individuals. Compared with co-morbidity-free T2D patients, the hazard ratios (95% CI) of death for patients aged younger than 50 and 80 years or older with two co-morbidities were 1.31 (1.08-1.59) and 1.25 (1.15-1.36), respectively, and increased to 3.08 (2.25-4.21) and 1.98 (1.82-2.16), respectively, as the number of co-morbidities increased to four or more. Similar trends were observed for medical costs. CONCLUSIONS: Age-specific co-morbidity patterns were observed for patients with T2D. A greater number of co-morbidities was associated with increased mortality and healthcare costs, with stronger relationships observed among younger patients.

Ten-Year Effectiveness of the Multidisciplinary Risk Assessment and Management Programme-Diabetes Mellitus (RAMP-DM) on Macrovascular and Microvascular Complications and All-Cause Mortality: A Population-Based Cohort Study.

OBJECTIVE: The Risk Assessment and Management Programme-Diabetes Mellitus (RAMP-DM) is a protocol-driven, risk-stratified, and individualized management program offered by a multidisciplinary team in addition to usual care for primary care patients with diabetes. This study aimed to evaluate the effectiveness of RAMP-DM for preventing complications and mortality over 10 years. RESEARCH DESIGN AND METHODS: A population-based, prospective cohort study of adult patients with type 2 diabetes managed in the Hong Kong public primary health care system between 2009 and 2010 was conducted. RAMP-DM participants and usual care patients were matched using one-to-one propensity score matching and followed for 10 years. Risks of macrovascular and microvascular complications and all-cause mortality were estimated by Cox proportional hazards regression. RESULTS: A total of 36,746 patients (18,373 in each group) were included after propensity score matching, with a median follow-up of 9.5 years and 306,802 person-years. RAMP-DM participants had significantly lower risks of macrovascular (hazard ratio [HR] 0.52, 95% CI 0.50-0.54) and microvascular (HR 0.68, 95% CI 0.64-0.72) complications and all-cause mortality (HR 0.45, 95% CI 0.43-0.47) than patients who received usual care only. However, the effect of RAMP-DM on macrovascular and microvascular complications attenuated after the 9th and 8th year of follow-up, respectively. RAMP-DM participants also showed better control of hemoglobin A1c, blood pressure, triglycerides, and BMI and a slower decline in renal function. CONCLUSIONS: Significant reductions in diabetes-related complications and all-cause mortality were observed among RAMP-DM participants over a 10-year follow-up, yet the effect of preventing complications attenuated after 8 years.

Retrospective cohort study to investigate the 10-year trajectories of disease patterns in patients with hypertension and/or diabetes mellitus on subsequent cardiovascular outcomes and health service utilisation: a study protocol.

INTRODUCTION: Hypertension (HT) and diabetes mellitus (DM) and are major disease burdens in all healthcare systems. Given their high impact on morbidity, premature death and direct medical costs, we need to optimise effectiveness and cost-effectiveness of primary care for patients with HT/DM. This study aims to find out the association of trajectories in disease patterns and treatment of patients with HT/DM including multimorbidity and continuity of care with disease outcomes and service utilisation over 10 years in order to identify better approaches to delivering primary care services. METHODS AND ANALYSIS: A 10-year retrospective cohort study on a population-based primary care cohort of Chinese patients with documented doctor-diagnosed HT and/or DM, managed in the Hong Kong Hospital Authority (HA) public primary care clinics from 1 January 2006 to 31 December 2019. Data will be extracted from the HA Clinical Management System to identify trajectory patterns of patients with HT/DM. Complications defined by ICPC-2/International Classification of Diseases-Ninth Revision, Clinical Modification diagnosis codes, all-cause mortality rates and public service utilisation rates are included as independent variables. Changes in clinical parameters will be investigated using a growth mixture modelling analysis with standard quadratic trajectories. Dependent variables including effects of multimorbidity, measured by (1) disease count and (2) Charlson's Comorbidity Index, and continuity of care, measured by the Usual Provide Continuity Index, on patient outcomes and health service utilisation will be investigated. Multivariable Cox proportional hazards regression will be conducted to estimate the effect of multimorbidity and continuity of care after stratification of patients into groups according to respective definitions. ETHICS AND DISSEMINATION: This study was approved by the institutional review board of the University of Hong Kong-the HA Hong Kong West Cluster, reference no: UW 19-329. The study findings will be disseminated through peer-reviewed publications and international conferences. TRIAL REGISTRATION NUMBER: NCT04302974.

Screening for diabetic retinopathy with different levels of financial incentive in a randomized controlled trial.

AIMS/INTRODUCTION: To examine the impact of different levels of financial incentive in terms of fee subsidization on diabetic retinopathy screening in the private primary care setting in Hong Kong. MATERIALS AND METHODS: All general practitioners working in the private sector and registered in two electronic public databases were invited to participate. Consecutive patients with diabetes mellitus were then recruited by the participating practitioners. The recruited participants were randomly allocated to one of three screening groups with different fee levels (HK$0, HK$150 [US$19], HK$300 [US$39]) in a randomized controlled trial. Screening uptake and severity of diabetic retinopathy detected were compared. RESULTS: Out of 1,688 eligible practitioners, 105 participated and invited 402 patients, with 239 initially agreeing to participate (59.5%). After randomization, 78, 75 and 76 participants in the HK$0, HK$150 and HK$300 fee groups, respectively, reconfirmed their participation and were offered screening at the relevant fee. The uptake of screening was 79.5% (62/78), 81.3% (61/75) and 63.2% (48/76), in the HK$0, HK$150 and HK$300 groups, respectively (P < 0.018). Being in the HK$150 fee group was associated with higher uptake of screening than being in the HK$300 fee group (odds ratio 2.31, P = 0.039). No significant difference was found in the prevalence of any diabetic retinopathy (33.9%, 27.9% and 37.5%, P = 0.378) or sight-threatening diabetic retinopathy (4.8%, 8.2% and 16.7%; P = 0.092) among the groups. CONCLUSION: A screening fee of HK$150, representing approximately a half subsidy, appears to be as effective in maximizing uptake as a full subsidy (HK$0) and without deterring those at high risk of diabetic retinopathy from screening.

Prediction models and nomograms for 10-year risk of end-stage renal disease in Chinese type 2 diabetes mellitus patients in primary care.

AIMS: To develop and validate 10-year risk prediction models, nomograms and charts for end-stage renal disease (ESRD) in Chinese patients with type 2 diabetes mellitus (T2DM) in primary care, in order to guide individualized treatment. MATERIALS AND METHODS: This was a 10-year population-based observational cohort study. A total of 141 516 Chinese T2DM patients without history of cardiovascular disease or ESRD who were managed in public primary care clinics in 2008 were included and followed up until December 2017. Two-thirds of these patients were randomly selected to develop sex-specific ESRD risk prediction models using Cox regressions. The validity and accuracy of the models were tested on the remaining third of patients using Harrell's C-index. We selected variables based on their clinical and statistical importance to construct the nomograms and charts. RESULTS: The median follow-up period was 9.75 years. The cumulative incidence of ESRD was 6.0% (men: 6.1%, women: 5.9%). Age, diabetes duration, systolic blood pressure (SBP), SBP variability, diastolic blood pressure, triglycerides, glycated haemoglobin (HbA1c), HbA1c variability, urine albumin to creatinine ratio (UACR), and estimated glomerular filtration rate (eGFR) were significant predictors for both sexes. Smoking and total cholesterol to HDL cholesterol ratio were additional significant predictors for men and women, respectively. The models showed Harrell's C-statistics of 0.889/0.889 (women/men). Age, eGFR, UACR, SBP and HbA1c were selected for both sexes to develop nomograms and charts. CONCLUSIONS: Using routinely available variables, the 10-year ESRD risk of Chinese T2DM patients in primary care can be predicted with approximately 90% accuracy. We have developed different tools to facilitate routine ESRD risk prediction in primary care, so that individualized care can be provided to prevent or delay ESRD in T2DM patients.

Ten-year risk prediction models of complications and mortality of Chinese patients with diabetes mellitus in primary care in Hong Kong: a study protocol.

INTRODUCTION: Diabetes mellitus (DM) is a major disease burden worldwide because it is associated with disabling and lethal complications. DM complication risk assessment and stratification is key to cost-effective management and tertiary prevention for patients with diabetes in primary care. Existing risk prediction functions were found to be inaccurate in Chinese patients with diabetes in primary care. This study aims to develop 10-year risk prediction models for total cardiovascular diseases (CVD) and all-cause mortality among Chinese patients with DM in primary care. METHODS AND ANALYSIS: A 10-year cohort study on a population-based primary care cohort of Chinese patients with diabetes, who were receiving care in the Hospital Authority General Outpatient Clinic on or before 1 January 2008, were identified from the clinical management system database of the Hospital Authority. All patients with complete baseline risk factors will be included and followed from 1 January 2008 to 31 December 2017 for the development and validation of prediction models. The analyses will be carried out separately for men and women. Two-thirds of subjects will be randomly selected as the training sample for model development. Cox regressions will be used to develop 10-year risk prediction models of total CVD and all-cause mortality. The validity of models will be tested on the remaining one-third of subjects by Harrell's C-statistics and calibration plot. Risk prediction models for diabetic complications specific to Chinese patients in primary care will enable accurate risk stratification, prioritisation of resources and more cost-effective interventions for patients with DM in primary care. ETHICS AND DISSEMINATION: The study was approved by the Institutional Review Board of the University of Hong Kong-the Hospital Authority Hong Kong West Cluster (reference number: UW 15-258). TRIAL REGISTRATION NUMBER: NCT03299010; Pre-results.