Evaluating different low-density lipoprotein cholesterol thresholds to initiate statin for prevention of cardiovascular diseases in patients with type 2 diabetes mellitus: A target trial emulation study.

AIM: The present study aimed to evaluate the effect of statin therapy for primary prevention of cardiovascular diseases (CVDs) when initiating therapy at different baseline low-density lipoprotein cholesterol (LDL-C) levels in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: Using territory-wide public electronic medical records in Hong Kong, we emulated a sequence of trials on patients with T2DM with elevated LDL-C levels in every calendar month from January 2008 to December 2014. Pooled logistic regression was applied to obtain the hazard ratios for the major CVDs (stroke, myocardial infarction, heart failure), all-cause mortality and major adverse events (myopathies and liver dysfunction) of statin therapy. RESULTS: The estimated hazard ratios (95% confidence intervals) of CVD incidence for statin initiation were 0.78 (0.72, 0.84) in patients with baseline LDL-C of 1.8-2.5 mmol/L (i.e., 70-99 mg/dL) and 0.90 (0.88, 0.92) in patients with baseline LDL-C ≥2.6 mmol/L (i.e., ≥100 mg/dL) in intention-to-treat analysis, which was 0.59 (0.51, 0.68) and 0.77 (0.74, 0.81) in per-protocol analysis, respectively. No significant increased risks were observed for the major adverse events. The absolute 10-year risk difference of overall CVD in per-protocol analysis was -7.1% (-10.7%, -3.6%) and -3.9% (-5.1%, -2.7%) in patients with baseline LDL-C 1.8-2.5 and ≥2.6 mmol/L, respectively. The effectiveness and safety were consistently observed in patients aged >75 years initiating statin at both LDL-C thresholds. CONCLUSIONS: Compared with the threshold of 2.6 mmol/L, initiating statin in patients with a lower baseline LDL-C level at 1.8-2.5 mmol/L can further reduce the risks of CVD and all-cause mortality without significantly increasing the risk of major adverse events in patients with T2DM, including patients aged >75 years.

Optimizing the frequency of physician encounters in follow - up care for patients with type 2 diabetes mellitus: a systematic review.

BACKGROUND: Decisions on the frequency of physician encounters for patients with type 2 diabetes mellitus (T2DM) have significant impacts on both patients' health outcomes and burden on health systems, whereas definitive intervals for physician encounters are still lacking in most clinical guidelines. This study systematically reviewed the existing evidence evaluating different frequencies of physician encounters among T2DM patients. METHODS: Systematic search of studies evaluating different visit frequencies for follow - up care in T2DM patients was performed in MEDLINE Ovid, Embase Ovid, and Cochrane library from database inception to 25 March 2022. Studies on the follow - up encounters driven by non - physicians and those on the episodic visits in the acute care settings were excluded in the screening. Citation searching was conducted via Google Scholar on the identified papers after screening. The risk of bias was assessed using Cochrane RoB2 tool for randomized controlled trials and Newcastle - Ottawa Scale for cohort studies. Findings were summarized narratively. RESULTS: Among 6363 records from the database search and 231 references from the citation search, 12 articles were eligible for in - depth review. The results showed that for patients who had not achieved cardiometabolic control, intensifying encounter frequency could enhance medication adherence, shorten the time to achieve the treatment target, and improve the patients' quality of life. However, for the patients who had already achieved the treatment targets, less frequent encounters were equivalent to intensive encounters in maintaining their cardiometabolic control, and could save considerable healthcare costs without substantially lowering the quality of care and patients' satisfaction. CONCLUSION: Existing evidence suggested that the optimal frequency of physician encounters for patients with T2DM should be individualized, which can be stratified by patients' risk levels based on the cardiometabolic control to guide the differential scheduling of physician encounters in the follow - up. More research is needed to determine how to optimize the frequency of physician encounters for this large and heterogeneous population.

Team-based continuity of care for patients with hypertension: a retrospective primary care cohort study in Hong Kong.

BACKGROUND: Continuity of care (COC) is associated with improved health outcomes in patients with hypertension. Team-based COC allows more flexibility in service delivery but there is a lack of research on its effectiveness for patients with hypertension. AIM: To investigate the effectiveness of team-based COC on the prevention of cardiovascular disease (CVD) and mortality in patients with hypertension. DESIGN AND SETTING: A retrospective cohort study in a primary care setting in Hong Kong. METHOD: Eligible patients included those visiting public primary care clinics in Hong Kong from 2008 to 2018. The usual provider continuity index (UPCI) was used to measure the COC provided by the most visited physician team. Cox regression and restricted cubic splines were applied to model the association between the COC and the risk for CVDs and all-cause mortality. RESULTS: This study included 421 640 eligible patients. Compared with participants in the lowest quartile of UPCI, the hazard ratios for overall CVD were 0.94 (95% CI = 0.92 to 0.96), 0.91(95% CI = 0.89 to 0.93), and 0.90 (95% CI = 0.88 to 0.92) in the second, third, and fourth quartiles, respectively. A greater effect size on CVD risk reduction was observed among the patients with unsatisfactory blood pressure control, patients aged <65 years, and those with a Charlson comorbidity index of <4 at baseline (Pinteraction<0.05 in these subgroup analyses), but the effect was insignificant among the participants with an estimated glomerular filtration rate of <60 ml/ min/1.73 m2 at baseline. CONCLUSION: Team-based COC via a coordinated physician team was associated with reduced risks of CVD and all-cause mortality among patients with hypertension, especially for the patients with unsatisfactory blood pressure control. Early initiation of team-based COC may also achieve extra benefits.

Trends of clinical parameters and incidences of diabetes mellitus complications among patients with type 2 diabetes mellitus in Hong Kong, 2010-2019: a retrospective cohort study.

Background: Diabetes mellitus-related characteristics, including available medications, onset ages, and newly-introduced management program, have been changing recently in Hong Kong, especially after the introduction of the Risk Assessment and Management Program-Diabetes Mellitus in all outpatient clinics in 2009. To understand the plural change and improve the management of patients with Type 2 Diabetes Mellitus (T2DM) based on the latest data, we examined the trends of clinical parameters, T2DM complications and mortality in patients with T2DM in Hong Kong from 2010 to 2019. Methods: In this retrospective cohort study, we acquired data from the Clinical Management System of the Hospital Authority in Hong Kong. Among adults with T2DM diagnosed on or before Sept 30, 2010, and with at least one attendance in general outpatient clinics between Aug 1, 2009, to Sept 30, 2010, we investigated the age-standardised trends of clinical parameters including haemoglobin A1c, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol (LDL-C), body mass index and estimated glomerular filtration rate (eGFR), complications including cardiovascular disease (CVD), peripheral vascular disease (PVD), sight-threatening diabetic retinopathy (STDR), neuropathy, eGFR<45 mL/min/1.73 m2 and end-stage renal disease (ESRD), and all-cause mortality from 2010 to 2019 and tested the statistical significance of the trends using generalised estimating equation by sex, level of clinical parameters and age groups. Findings: In total, 82,650 males and 97,734 females with T2DM were identified. LDL-C decreased from 3 to 2 mmol/L in both males and females, while other clinical parameters changed within 5% over the full decade from 2010 to 2019. CVD, PVD, STDR, and neuropathy had declining incidences, while ESRD and all-cause mortality had increasing incidences from 2010 to 2019. The incidence of eGFR<45 mL/min/1.73 m2 increased in males but decreased in females. The odds ratio (OR) of ESRD (1.13, 95% CI [1.12, 1.15]) was highest in both males and females while the ORs of STDR (0.94, 95% CI [0.92, 0.96]) and neuropathy (0.90, 95% CI [0.88, 0.92]) were lowest in males and females, respectively. Complications and all-cause mortality trends varied among baseline HbA1c, eGFR, and age subgroups. In contrast to the findings in other age groups, the incidence of any outcomes did not decrease in younger patients (<45 years) from 2010 to 2019. Interpretation: Improvements were observed in LDL-C and incidences of most complications from 2010 to 2019. Worse performance in the younger age group and increasing incidence of renal complications and mortality need more attention in managing patients with T2DM. Funding: The Health and Medical Research Fund, the Health Bureau, and Government of the Hong Kong Special Administrative Region.

The indirect impact of the COVID-19 pandemic on people with type 2 diabetes mellitus and without COVID-19 infection: Systematic review and meta-analysis.

BACKGROUND: The effect directly from the coronavirus disease 2019 (COVID-19) infection on health and fatality has received considerable attention, particularly among people with type 2 diabetes mellitus (T2DM). However, evidence on the indirect impact of disrupted healthcare services during the pandemic on people with T2DM is limited. This systematic review aims to assess the indirect impact of the pandemic on the metabolic management of T2DM people without a history of COVID-19 infection. METHODS: PubMed, Web of Science, and Scopus were systematically searched for studies that compared diabetes-related health outcomes between pre-pandemic and during-pandemic periods in people with T2DM and without the COVID-19 infection and published from January 1, 2020, to July 13, 2022. A meta-analysis was performed to estimate the overall effect on the diabetes indicators, including hemoglobin A1c (HbA1c), lipid profiles, and weight control, with different effect models according to the heterogeneity. RESULTS: Eleven observational studies were included in the final review. No significant changes in HbA1c levels [weighted mean difference (WMD), 0.06 (95% CI -0.12 to 0.24)] and body weight index (BMI) [0.15 (95% CI -0.24 to 0.53)] between the pre-pandemic and during-pandemic were found in the meta-analysis. Four studies reported lipid indicators; most reported insignificant changes in low-density lipoprotein (LDL, n = 2) and high-density lipoprotein (HDL, n = 3); two studies reported an increase in total cholesterol and triglyceride. CONCLUSIONS: This review did not find significant changes in HbA1c and BMI among people with T2DM after data pooling, but a possible worsening in lipids parameters during the COVID-19 pandemic. There were limited data on long-term outcomes and healthcare utilization, which warrants further research. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022360433.

Diabetes with poor-control HbA1c is cardiovascular disease 'risk equivalent' for mortality: UK Biobank and Hong Kong population-based cohort study.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) has traditionally been considered a coronary heart disease 'risk equivalent' for future mortality, but significant heterogeneity exists across people with T2DM. This study aims to determine the risk of all-cause mortality of patients with cardiovascular disease (CVD) and T2DM in UK and Hong Kong, with stratifications for hemoglobin A1 (HbA1c) concentrations, compared with those without CVD and diabetes mellitus. RESEARCH DESIGN AND METHODS: This is a retrospective cohort study of 3 839 391 adults from Hong Kong and a prospective cohort study of 497 779 adults from the UK Biobank. Individuals were divided into seven disease groups: (1) no T2DM and CVD, (2) T2DM only with HbA1c <7%, (3) T2DM only with HbA1c 7%-7.9%, (4) T2DM only with HbA1c 8%-8.9%, (5) T2DM only with HbA1c ≥9%, (6) CVD only, and (7) T2DM and CVD. Differences in all-cause mortality between groups were examined using Cox regression. RESULTS: After around 10 years of median follow-up, 423 818 and 19 844 deaths were identified in the Hong Kong cohort and UK Biobank, respectively. Compared with individuals without T2DM and CVD, the adjusted HR for all-cause mortality in the other six disease groups for the Hong Kong cohort was 1.25 (95% CI 1.23 to 1.27) for T2DM only with HbA1c <7%, 1.21 (95% CI 1.19 to 1.23) for T2DM only with HbA1c 7%-7.9%, 1.36 (95% CI 1.33 to 1.39) for T2DM only with HbA1c 8%-8.9%, 1.82 (95% CI 1.78 to 1.85) for T2DM only with HbA1c ≥9%, 1.37 (95% CI 1.36 to 1.38) for CVD only, and 1.83 (95% CI 1.81 to 1.85) for T2DM and CVD, and for the UK Biobank the HR was 1.45 (95% CI 1.33 to 1.58), 1.50 (95% CI 1.32 to 1.70), 1.72 (95% CI 1.43 to 2.08), 2.51 (95% CI 2.05 to 3.08), 1.67 (95% CI 1.59 to 1.75) and 2.62 (95% CI 2.42 to 2.83), respectively. This indicates that patients with T2DM had an increased risk of mortality compared with those without T2DM and CVD, and in those with HbA1c ≥9% an even higher risk than people with CVD. CONCLUSIONS: Patients with T2DM with poor HbA1c control (8%-8.9% and ≥9%) were associated with similar and higher risk of mortality compared with patients with CVD, respectively. Optimal HbA1c, controlled for risk reduction and prevention of mortality and complications in diabetes management, remains important.

Prognostic Utility of Cardiac MRI Myocardial Strain Parameters in Patients With Ischemic and Nonischemic Dilated Cardiomyopathy: A Multicenter Study.

BACKGROUND. Prior small single-center studies have yielded conflicting results regarding the prognostic significance of myocardial strain parameters derived from feature tracking (FT) on cardiac MRI in patients with dilated cardiomyopathy (DCM). OBJECTIVE. The purpose of this study was to evaluate the prognostic utility of FT parameters on cardiac MRI in patients with ischemic and nonischemic DCM and to determine the optimal strain parameter for outcome prediction. METHODS. This retrospective study included 471 patients (median age, 61 years; 365 men, 106 women) with ischemic (n = 233) or nonischemic (n = 238) DCM and left ventricular (LV) ejection fraction (EF) less than 50% who underwent cardiac MRI at any of four centers from January 2011 to December 2019. Cardiac MRI parameters were determined by manual contouring. In addition, software-based FT was used to calculate six myocardial strain parameters (LV and right ventricular [RV] global radial strain, global circumferential strain, and global longitudinal strain [GLS]). Late gadolinium enhancement (LGE) was also evaluated. Patients were assessed for a composite outcome of all-cause mortality and/or heart-failure hospitalization. Cox regression models were used to determine associations between strain parameters and the composite outcome. RESULTS. Mean LV EF was 27.5% and mean LV GLS was -6.9%. The median follow-up period was 1328 days. The composite outcome occurred in 220 patients (125 deaths, 95 heart-failure hospitalizations). All six myocardial strain parameters were significant independent predictors of the composite outcome (hazard ratio [HR] = 0.92-1.16; all p < .05). In multivariable models that included age, corrected LV and RV end-diastolic volume, LV and RV EF, and presence of LGE, the only strain parameter that was a significant independent predictor of the composite outcome was LV GLS (HR = 1.13, p = .006); LV EF and presence of LGE were not independent predictors of the composite outcome in the models (p > .05). A LV GLS threshold of -6.8% had sensitivity of 62.6% and specificity of 62.6% in predicting the composite outcome rate at 4.0 years. CONCLUSION. LV GLS, derived from FT on cardiac MRI, is a significant independent predictor of adverse outcomes in patients with DCM. CLINICAL IMPACT. This study strengthens the body of evidence supporting the clinical implementation of FT when performing cardiac MRI in patients with DCM.

Comparative Risks of Nonsteroidal Anti-inflammatory Drugs on Cardiovascular Diseases: A Population-Based Cohort Study.

Through examining the incidence of cardiovascular diseases (CVDs) among nonsteroidal anti-inflammatory drug (NSAID) users and nonusers, this study aims to compare the risks contributed by different NSAIDs in a Chinese population. The retrospective cohort including 4 298 368 adults without CVD from electronic health records between 2008 and 2017 in Hong Kong was adopted. A total of 4.5% of individuals received NSAIDs including celecoxib, etoricoxib, diclofenac, ibuprofen, indomethacin, mefenamic acid, or naproxen for ≥4 consecutive weeks at baseline. Cox regression, including NSAID use as a time-dependent covariate and adjusted with patient's characteristics, was conducted to examine the association between NSAID exposure and incident CVD. After a median follow-up of 6.9 years (30 million person-years), a total of 258 601 cases of incident CVD was recorded. NSAID use was shown to be associated with a significantly higher risk of CVD (hazard ratio [HR], 1.32 [95%CI, 1.28-1.37]) compared to non-NSAID use. Similar results in coronary heart disease (HR, 1.37 [95%CI, 1.31-1.43]), stroke (HR, 1.27 [95%CI, 1.21-1.33]), and heart failure (HR, 1.25 [95%CI, 1.16-1.34]) were obtained. Overall, similar CVD risk was observed across users of NSAIDs except for etoricoxib, which showed a higher risk (HR, 2.01 [95%CI, 1.63-2.48]). Considering that a higher CVD risk was consistently displayed among NSAID users, NSAIDs should be used cautiously, and the usage of etoricoxib in the Chinese population should be reviewed.

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.

Who reports insufficient and disturbed sleep? Results from a representative population-based health survey in Hong Kong.

OBJECTIVES: To highlight the prevalence of sleep problems and identify associated risk factors among a representative sample recruited from the general population of Hong Kong. DESIGN, SETTING AND PARTICIPANTS: Participants included 12 022 individuals (aged 15 or above) who took part in the Population Health Survey 2014/15, a territory-wide survey conducted by the Department of Health of the Government of the Hong Kong Special Administrative Region. PRIMARY AND SECONDARY OUTCOME MEASURES: Outcomes were the prevalence of (1) insufficient sleep (<6 hours sleep per day) and (2) any sleep disturbance (difficulty initiating sleep, intermittent awakenings, early awakening) ≥3 times per week in the past 30 days. Multivariable logistic regression identified associations between sleep problems and sociodemographic, clinical and lifestyle factors. RESULTS: 9.7% of respondents reported insufficient sleep and 10.5% reported sleep disturbances ≥3 times a week. Female gender, monthly household income <$12 250 (Hong Kong dollar), lower education level, mental health condition and physical health condition were significantly associated with both insufficient and disturbed sleep (all p<0.05). Unemployment, homemaker, insufficient physical activity, current/former smoking status and harmful alcohol consumption were associated with sleep disturbances only (all p<0.01). CONCLUSIONS: Sleep problems are highly prevalent in Hong Kong. As such problems are associated with a range of health conditions, it is important to facilitate improvements in sleep. Our results show that harmful alcohol consumption, insufficient physical activity and current smoking are modifiable risk factors for sleep disturbances. Public health campaigns should focus on these risk factors in order to promote a healthy lifestyle and ultimately reduce sleep disturbances. Targeted interventions for high-risk groups may also be warranted, particularly for those with doctor-diagnosed physical and mental health conditions.

Long-term spill-over impact of COVID-19 on health and healthcare of people with non-communicable diseases: a study protocol for a population-based cohort and health economic study.

INTRODUCTION: The COVID-19 pandemic has a significant spill-over effect on people with non-communicable diseases (NCDs) over the long term, beyond the direct effect of COVID-19 infection. Evaluating changes in health outcomes, health service use and costs can provide evidence to optimise care for people with NCDs during and after the pandemic, and to better prepare outbreak responses in the future. METHODS AND ANALYSIS: This is a population-based cohort study using electronic health records of the Hong Kong Hospital Authority (HA) CMS, economic modelling and serial cross-sectional surveys on health service use. This study includes people aged ≥18 years who have a documented diagnosis of diabetes mellitus, hypertension, cardiovascular disease, cancer, chronic respiratory disease or chronic kidney disease with at least one attendance at the HA hospital or clinic between 1 January 2010 and 31 December 2019, and without COVID-19 infection. Changes in all-cause mortality, disease-specific outcomes, and health services use rates and costs will be assessed between pre-COVID-19 and-post-COVID-19 pandemic or during each wave using an interrupted time series analysis. The long-term health economic impact of healthcare disruptions during the COVID-19 pandemic will be studied using microsimulation modelling. Multivariable Cox proportional hazards regression and Poisson/negative binomial regression will be used to evaluate the effect of different modes of supplementary care on health outcomes. ETHICS AND DISSEMINATION: The study was approved by the institutional review board of the University of Hong Kong, the HA Hong Kong West Cluster (reference number UW 21-297). The study findings will be disseminated through peer-reviewed publications and international conferences.

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.

The Spill-Over Impact of the Novel Coronavirus-19 Pandemic on Medical Care and Disease Outcomes in Non-communicable Diseases: A Narrative Review.

Objectives: The coronavirus-19 (COVID-19) pandemic has claimed more than 5 million lives worldwide by November 2021. Implementation of lockdown measures, reallocation of medical resources, compounded by the reluctance to seek help, makes it exceptionally challenging for people with non-communicable diseases (NCD) to manage their diseases. This review evaluates the spill-over impact of the COVID-19 pandemic on people with NCDs including cardiovascular diseases, cancer, diabetes mellitus, chronic respiratory disease, chronic kidney disease, dementia, mental health disorders, and musculoskeletal disorders. Methods: Literature published in English was identified from PubMed and medRxiv from January 1, 2019 to November 30, 2020. A total of 119 articles were selected from 6,546 publications found. Results: The reduction of in-person care, screening procedures, delays in diagnosis, treatment, and social distancing policies have unanimously led to undesirable impacts on both physical and psychological health of NCD patients. This is projected to contribute to more excess deaths in the future. Conclusion: The spill-over impact of COVID-19 on patients with NCD is just beginning to unravel, extra efforts must be taken for planning the resumption of NCD healthcare services post-pandemic.

Association of genetic variants related to combined exposure to higher BMI and waist-to-hip ratio on lifelong cardiovascular risk in UK Biobank.

OBJECTIVE: This study examines the individual and combined association of BMI and waist-to-hip ratio (WHR) with CVD risk using genetic scores of the obesity measurements as proxies. DESIGN: A 2 × 2 factorial analysis approach was applied, with participants divided into four groups of lifetime exposure to low BMI and WHR, high BMI, high WHR, and high BMI and WHR based on weighted genetic risk scores. The difference in CVD risk across groups was evaluated using multivariable logistic regression. SETTING: Cohort study. PARTICIPANTS: A total of 408 003 participants were included from the prospective observational UK Biobank study. RESULTS: A total of 58 429 CVD events were recorded. Compared to the low BMI and WHR genetic scores group, higher BMI or higher WHR genetic scores were associated with an increase in CVD risk (high WHR: OR, 1·07; 95 % CI (1·04, 1·10)); high BMI: OR, 1·12; 95 % CI (1·09, 1·16). A weak additive effect on CVD risk was found between BMI and WHR (high BMI and WHR: OR, 1·16; 95 % CI (1·12, 1·19)). Subgroup analysis showed similar patterns between different sex, age (<65, ≥65 years old), smoking status, Townsend deprivation index, fasting glucose level and medication uses, but lower systolic blood pressure was associated with higher CVD risk in obese participants. CONCLUSIONS: High BMI and WHR were associated with increased CVD risk, and their effects are weakly additive. Even though there were overlapping of effect, both BMI and WHR are important in assessing the CVD risk in the general population.

Development and validation of a diabetes mellitus and prediabetes risk prediction function for case finding in primary care in Hong Kong: a cross-sectional study and a prospective study protocol paper.

INTRODUCTION: Diabetes mellitus (DM) is a major non-communicable disease with an increasing prevalence. Undiagnosed DM is not uncommon and can lead to severe complications and mortality. Identifying high-risk individuals at an earlier disease stage, that is, pre-diabetes (pre-DM), is crucial in delaying progression. Existing risk models mainly rely on non-modifiable factors to predict only the DM risk, and few apply to Chinese people. This study aims to develop and validate a risk prediction function that incorporates modifiable lifestyle factors to detect DM and pre-DM in Chinese adults in primary care. METHODS AND ANALYSIS: A cross-sectional study to develop DM/Pre-DM risk prediction functions using data from the Hong Kong's Population Health Survey (PHS) 2014/2015 and a 12-month prospective study to validate the functions in case finding of individuals with DM/pre-DM. Data of 1857 Chinese adults without self-reported DM/Pre-DM will be extracted from the PHS 2014/2015 to develop DM/Pre-DM risk models using logistic regression and machine learning methods. 1014 Chinese adults without a known history of DM/Pre-DM will be recruited from public and private primary care clinics in Hong Kong. They will complete a questionnaire on relevant risk factors and blood tests on Oral Glucose Tolerance Test (OGTT) and haemoglobin A1C (HbA1c) on recruitment and, if the first blood test is negative, at 12 months. A positive case is DM/pre-DM defined by OGTT or HbA1c in any blood test. Area under receiver operating characteristic curve, sensitivity, specificity, positive predictive value and negative predictive value of the models in detecting DM/pre-DM will be calculated. ETHICS AND DISSEMINATION: Ethics approval has been received from The University of Hong Kong/Hong Kong Hospital Authority Hong Kong West Cluster (UW19-831) and Hong Kong Hospital Authority Kowloon Central/Kowloon East Cluster (REC(KC/KE)-21-0042/ER-3). The study results will be submitted for publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: US ClinicalTrial.gov: NCT04881383; HKU clinical trials registry: HKUCTR-2808; Pre-results.

Association Between Team-Based Continuity of Care and Risk of Cardiovascular Diseases Among Patients With Diabetes: A Retrospective Cohort Study.

OBJECTIVE: Cardiovascular diseases (CVD) are a long-term sequela of diabetes. Better individual-based continuity of care has been reported to reduce the risk of chronic complications among patients with diabetes. Maintaining a one-to-one patient-physician relationship is often challenging, especially in public health care settings. This study aimed to evaluate the relationship between higher team-based continuity of care, defined as consultations provided by the same physician team, and CVD risks in patients with diabetes from public primary care clinics. RESEARCH DESIGN AND METHODS: This was a retrospective cohort study in Hong Kong of 312,068 patients with type 2 diabetes and without any history of CVD at baseline (defined as the earliest attendance at a doctor's consultation in a public-sector clinic between 2008 and 2018). Team-based continuity of care was measured using the usual provider continuity index (UPCI), calculated by the proportion of consultations provided by the most visited physician team in the 2 years before baseline. Patients were divided into quartiles based on their UPCI, and the characteristics of the quartiles were balanced using propensity score fine stratification weights. Multivariable Cox regression was applied to assess the effect of team-based continuity of care on CVD incidence. Patient demographics, smoking status, physiological measurements, number of attendances, comorbidities, and medications were adjusted for in the propensity weightings and regression analyses. RESULTS: After an average follow-up of 6.5 years, the total number of new CVD events was 52,428. Compared with patients in the 1st quartile, patients in the 2nd, 3rd, and 4th quartiles of the UCPI had a CVD hazard ratio (95% CI) of 0.95 (0.92-0.97), 0.92 (0.89-0.94), and 0.87 (0.84-0.89), respectively, indicating that higher continuity of care was associated with lower CVD risks. The subtypes of CVD, including coronary heart disease and stroke, also showed a similar pattern. Subgroup analyses suggested that patients <65 years of age had greater benefits from higher team-based continuity of care. CONCLUSIONS: Team-based continuity of care was associated with lower CVD risk among individuals with type 2 diabetes, especially those who were younger. This suggests a potential flexible alternative implementation of continuity of care in public clinics.

The association between trajectories of risk factors and risk of cardiovascular disease or mortality among patients with diabetes or hypertension: A systematic review.

INTRODUCTION: Cardiometabolic risk factors and renal function are monitored regularly for patients with diabetes mellitus (DM)/ hypertension (HT). In addition to risk factor levels at a single time point, their trajectory (changes over time) can also be differentially related to the risk of cardiovascular diseases (CVD) and mortality. This study aimed to systematically examine the evidence regarding the association between risk factor trajectories and risk of CVD/mortality in patients with DM/HT. METHOD: PubMed, MEDLINE, and Embase were searched for articles from January 1963 to April 2021. Inclusion criteria: studies that 1) analyzed trajectories of risk factors including haemoglobin A1c (HbA1c), blood pressure, estimated glomerular filtration rate (eGFR), body mass index (BMI), and blood lipids; 2) were performed in the DM/HT population and, 3) included risk of CVD/mortality as outcomes. Study quality was assessed using the Newcastle-Ottawa quality assessment scale. RESULTS: A total of 22,099 articles were identified. After screening by title and abstract, 22,027 articles were excluded by irrelevant outcomes, exposure, population, or type of articles. Following full-text screening, 11 articles investigating the trajectories of HbA1c (N = 7), systolic blood pressure (SBP) (N = 3), and eGFR (N = 1) were included for data extraction and analysis. No studies were identified examining the association of BMI or lipid trajectories with CVD/mortality. All included studies were of good quality based on the NOS criteria. In general, stable trajectories within optimal ranges of the risk factors (HbA1c: <7%, SBP: 120-139mmHg, eGFR: >60mL/min/1.73m2) had the lowest CVD/mortality risk compared to an increasing HbA1c trajectory (from 8% to 10%), an increasing SBP trajectory (from 120-139 to ≥140mmHg), or a decreasing eGFR trajectory (from 90 to 70mL/min/1.73m2). CONCLUSION: A relatively stable and well-controlled trajectory for cardiometabolic risk factors was associated with the lowest risk of CVD/mortality. Risk factor trajectories have important clinical implications in addition to single time point measurements. More attention should be given to patients with suboptimal control and those with unstable trends of cardiometabolic risk factors.

Age-Specific Associations of Usual Blood Pressure Variability With Cardiovascular Disease and Mortality: 10-Year Diabetes Mellitus Cohort Study.

Background The detrimental effects of increased variability in systolic blood pressure (SBP) on cardiovascular disease (CVD) and mortality risk in patients with diabetes mellitus remains unclear. This study evaluated age-specific association of usual SBP visit-to-visit variability with CVD and mortality in patients with type 2 diabetes mellitus. Methods and Results A retrospective cohort study investigated 155 982 patients with diabetes mellitus aged 45 to 84 years without CVD at baseline (2008-2010). Usual SBP variability was estimated using SBP SD obtained from a mixed-effects model. Age-specific associations (45-54, 55-64, 65-74, 75-84 years) between usual SBP variability, CVD, and mortality risk were assessed by Cox regression adjusted for patient characteristics. After a median follow-up of 9.7 years, 49 816 events (including 34 039 CVD events and 29 211 mortalities) were identified. Elevated SBP variability was independently, positively, and log-linearly associated with higher CVD and mortality risk among all age groups, with no evidence of any threshold effects. The excess CVD and mortality risk per 5 mm Hg increase in SBP variability within the 45 to 54 age group is >3 times higher than the 70 to 79 age group (hazard ratio, 1.66; 95% CI, 1.49-1.85 versus hazard ratio, 1.19; 95% CI, 1.15-1.23). The significant associations remained consistent among all subgroups. Patients with younger age had a higher association of SBP variability with event outcomes. Conclusions The findings suggest that SBP visit-to-visit variability was strongly associated with CVD and mortality with no evidence of a threshold effect in a population with diabetes mellitus. As well as controlling overall blood pressure levels, SBP visit-to-visit variability should be monitored and evaluated in routine practice, in particular for younger patients.

Unintentional Injury Burden in Hong Kong: Results from a Representative Population-Based Survey.

Unintentional injuries are major causes of mortality and morbidity. Although generally perceived as accidents, it is possible to identify those at higher risk and implement appropriate prevention measures. This study aims to investigate the common causes of unintentional injuries and their associated risk factors among a large representative sample. Data of 12,022 individuals who completed the Hong Kong Population Health Survey 2014/15 were extracted. The primary outcome was the prevalence of having unintentional injury(-ies) in the previous 12 months that was severe enough to limit daily activities. Multivariable logistic regression analyses were conducted to identify associations between injuries and sociodemographic, clinical and lifestyle factors. 14.5% of respondents reported episode(s) of unintentional injury in the past 12 months in the population level. The main causes of top three most severe unintentional injuries were sprains (24.0%), falls (19.9%) and being hit/struck (19.6%). 13.2% injury episodes were work-related among the most severe episode. Factors independently associated with significantly higher risks of injury included currently employed, homemaker or student, born in Hong Kong (as compared with immigrants), doctor-diagnosed chronic conditions, harmful alcohol consumption, insufficient sleep, and disturbed sleep. To summarize, unintentional injuries are highly prevalent and associated with harmful drinking, insufficient sleep, and disturbed sleep, which are potential modifiable risk factors for prevention.

Association between health behaviours and cardiometabolic dysregulation: a population-based survey among healthy adults in Hong Kong.

OBJECTIVE: To explore the association between cardiometabolic dysregulation, an integral component of allostatic load, and health risk behaviours (HRBs) of the Hong Kong healthy adult population. DESIGN: Secondary analysis of cross-sectional anonymous data. SETTING: Data on sociodemographics, self-reported health status, HRBs and biomarkers were extracted from the Hong Kong Population Health Survey 2014/2015. PARTICIPANTS: One thousand five hundred and fifty-one participants aged 18-64 years without self-reported diagnoses of hypertension, diabetes mellitus, hyperlipidaemia, cardiovascular disease, cognitive impairment or cancer. PRIMARY OUTCOME MEASURES: Cardiometabolic dysregulation index (CMDI), ranging from 0 to 6, was calculated by counting the number of biomarkers including systolic blood pressure, diastolic blood pressure, waist to hip ratio, glycated haemoglobin, total cholesterol to high-density lipoprotein cholesterol ratio, and triglycerides that were above the respective normal level suggested by international guidelines and literature. HRBs including smoking, dietary habits and sleeping hours were collected by self-report questionnaire. Alcohol consumption was assessed by the 10-item Alcohol Use Disorders Identification Test, while physical activity level was measured using the Global Physical Activity Questionnaire. A composite HRB score, ranging from 0 to 5, was calculated as the cumulative number of HRBs. The effect of HRB on CMDI was evaluated by negative binomial regression with adjustment for socioeconomic status, health awareness and comorbidities of the participants. RESULTS: The mean CMDI of the studied population was 1.6; 29.5% had a CMDI of 0, whereas 1.5% had a CMDI of 6. Significant difference was observed in mean CMDI between gender and different age groups. Sleeping less than 6 hours (incidence rate ratio (IRR)=1.26, p<0.001), smoking (IRR=1.15, p=0.027), insufficient physical activity (IRR=1.12, p=0.007) and higher composite HRB score (IRR=1.12, 95% CI 1.06 to 1.18) were significantly associated with higher CMDI. CONCLUSION: Smoking, physical inactivity and inadequate sleep-an essential yet often overlooked health behaviour-were associated with higher CMDI in the Hong Kong healthy adult population.