Low triglyceride and nonuse of statins is associated with cancer in type 2 diabetes mellitus: the Hong Kong Diabetes Registry

Lipid Levels and Lung Cancer Risk: Findings from the Taiwan National Data Systems from 2012 to 2018

BACKGROUND

Lipids are known to be involved in carcinogenesis, but the associations between lipid profiles and different lung cancer histological classifications remain unknown.

METHODS

Individuals who participated in national adult health surveillance from 2012 to 2018 were included. For patients who developed lung cancer during follow-up, a 1:2 control group of nonlung cancer participants was selected after matching. Multivariate conditional logistic regression was used to explore the associations between lipid profiles, different lung cancer histological classifications and epidermal growth factor receptor mutation statuses. Subgroup, sensitivity, and dose‒response analyses were also performed.

RESULTS

A total of 4,704,853 participants (30,337 lung cancer participants and 4,674,516 nonlung cancer participants) were included. In both the main and sensitivity analyses, the associations remained constant between lower high-density lipoprotein (HDL) cholesterol levels and a higher risk of lung cancer (main analysis: odds ratio: 1.13 [1.08-1.18]) and squamous cell carcinoma (1.29 [1.16-1.43]). Hypertriglyceridemia was associated with a lower risk of adenocarcinoma (0.90 [0.84-0.96]) and a higher risk of small cell lung cancer (1.31 [1.11-1.55]). Hypercholesterolemia was associated with a lower risk of squamous cell carcinoma (0.84 [0.76-0.94]). In the subgroup analysis, lower HDL cholesterol levels were associated with greater risk across most subgroups. HDL cholesterol levels also demonstrated a dose‒response association with the development of lung cancer.

CONCLUSIONS

The distinct associations between specific lipid profiles and lung cancer subtypes suggest that lipid metabolism may play different mechanistic roles in lung cancer development.

Prospective cohort studies underscore the association of abnormal glycemic measures with all-cause and cause-specific mortalities

The role of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and triglyceride-glucose index (TyG index) in predicting all-cause and cause-specific mortalities remains elusive. This study included 384,420 adults from the Shanghai cohort and the UK Biobank (UKB) cohort. After multivariable adjustment in the Cox models, FPG ≥7.0 mmol/L or HbA1c ≥ 6.5% increased the risk of all-cause mortality, FPG ≥5.6 mmol/L or HbA1c ≥ 6.5% increased CVD-related mortality, and higher or lower TyG index increased all-cause and CVD-related mortalities in the Shanghai cohort; FPG ≥5.6 mmol/L, HbA1c ≥ 5.7%, TyG index <8.31 or ≥9.08 increased the risks of all-cause, CVD-related, and cancer-related mortalities in the UKB cohort. FPG or HbA1c increased the discrimination of the conventional risk model in predicting all-cause and CVD-related mortalities in both cohorts. Thus, increased levels of FPG and HbA1c and U-shaped TyG index increase the risks of all-cause especially CVD-related mortalities.

Role of Serum Lipids, Blood Glucose and Blood Pressure in Breast Cancer Risk for Women with Type 2 Diabetes Mellitus

PURPOSE

Women with type 2 diabetes mellitus (T2DM) have an increased risk of breast cancer. We aimed to determine the contribution of lipids, glucose and blood pressure to this risk based on the multifactorial nature of T2DM.

PATIENTS AND METHODS

This population-based cohort study used data from a Dutch database (the Groningen Initiative to Analyse Type 2 Diabetes Treatment) for the period 2004-2013. The cohort included women diagnosed with T2DM, aged 30-80 years, with no history of breast cancer and with follow-up data for at least 1 year. We used Cox proportional hazards models to estimate the associations of exposures with breast cancer occurrence, reporting adjusted hazard ratios (aHR) with 95% confidence intervals (CI). Exposures of interest included total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, glycated hemoglobin A (HbA1c) and systolic blood pressure (SBP).

RESULTS

During a median of 4.45 years' follow-up, 183 of 10,183 included women received a breast cancer diagnosis. We observed U-shaped associations with breast cancer incidence for total cholesterol and HDL-C at baseline. Compared with moderate elevations, women had significantly higher breast cancer risks associated with high total cholesterol (aHR, 95% CI: 1.72, 1.15-2.55) and HDL-C (aHR, 95% CI: 1.74, 1.18-2.58) levels, while low total cholesterol (aHR, 95% CI: 1.43, 0.94-2.19) and HDL-C (aHR, 95% CI: 1.44, 0.95-2.17) levels produced marginal effects without significance. Women with high LDL-C levels more often received a breast cancer diagnosis than those with medium levels (aHR, 95% CI: 1.56, 1.03-2.35).

CONCLUSION

This real-world dataset highlights the importance of balancing lipid profiles, particularly total cholesterol and HDL-C. Dysregulation of the lipid profile, not the glucose or blood pressure profiles, may increase the risk of breast cancer in women with T2DM.

The Clinical Value of Lipid Abnormalities in Early Stage Cervical Cancer

Background

To describe the characteristics of plasma lipid proliferation in cervical cancer and further evaluate the prognostic significance of lipid levels in cervical cancer.

Methods

We retrospectively reviewed 1713 patients with cervical cancer in our hospital. The preoperative plasma lipid profile, including cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL), and low-density lipoprotein cholesterol (LDL), of 1713 cervical cancer patients was compared with that of 10,397 healthy women. Then, we evaluated the impact of lipids on overall survival (OS) and recurrence-free survival (RFS) in cervical cancer using univariate and multivariate Cox models.

Results

While plasma TC, TG, and LDL were significantly higher, HDL was lower in patients with cervical cancer than in healthy women. TG was identified as an independent predictor for RFS and OS among patients with cervical cancer. Further stratified by age, patients with higher TGs showed a significantly worse RFS and OS than those with lower TGs among patients ≥50 years old but not among those <50 years old.

Conclusion

Cervical cancer was associated with a disordered lipid profile. Hypertriglyceridemia was an independent poor prognostic indicator for cervical cancer, especially for elderly patients. Strengthening lipid management may be beneficial for improving postoperative OS and RFS in patients with cervical cancer.

Metabolic Disorders in Patients with Chronic Hepatitis B Virus Infection: Coffee as a Panacea? (ANRS CO22 Hepather Cohort)

People living with chronic hepatitis B virus (HBV) infection are at high risk of liver disease progression, which is positively associated with metabolic disorders, but inversely associated with dyslipidemia. Diet, including dietary antioxidants, is a lever of metabolic disorder management. In particular, elevated coffee consumption is associated with different metabolic outcomes in the general population. We aimed to test whether such associations occur in HBV-infected people. Based on cross-sectional data from the ANRS CO22 Hepather cohort, we performed logistic regression models with (i) dyslipidemia, (ii) hypertension, and (iii) diabetes as outcomes, and with demographic, clinical, and socio-behavioral (including coffee consumption) data as explanatory variables. Among 4746 HBV-infected patients, drinking ≥3 cups of coffee per day was associated with a higher risk of dyslipidemia (adjusted odds ratio [95% confidence interval] 1.49 [1.10–2.00], p = 0.009) and a lower risk of hypertension (0.64 [0.50–0.82], p = 0.001). It was not associated with diabetes. Elevated coffee consumption was associated with a higher risk of dyslipidemia and a lower risk of hypertension in HBV-infected patients, two effects expected to be associated with favorable clinical outcomes. Further studies should test whether such metabolic benefits translate into reduced mortality risk in this population.

Prediction of five-year all-cause mortality in Chinese patients with type 2 diabetes mellitus - A population-based retrospective cohort study

AIMS

This study aimed to develop and validate an all-cause mortality risk prediction model for Chinese primary care patients with type 2 diabetes mellitus(T2DM) in Hong Kong.

METHODS

A population-based retrospective cohort study was conducted on 132,462 Chinese patients who had received public primary care services during 2010. Each gender sample was randomly split on a 2:1 basis into derivation and validation cohorts and was followed-up for a median period of 5years. Gender-specific mortality risk prediction models showing the interaction effect between predictors and age were derived using Cox proportional hazards regression with forward stepwise approach. Developed models were compared with pre-existing models by Harrell's C-statistic and calibration plot using validation cohort.

RESULTS

Common predictors of increased mortality risk in both genders included: age; smoking habit; diabetes duration; use of anti-hypertensive agents, insulin and lipid-lowering drugs; body mass index; hemoglobin A1c; systolic blood pressure(BP); total cholesterol to high-density lipoprotein-cholesterol ratio; urine albumin to creatinine ratio(urine ACR); and estimated glomerular filtration rate(eGFR). Prediction models showed better discrimination with Harrell"'s C-statistics of 0.768(males) and 0.782(females) and calibration power from the plots than previously established models.

CONCLUSIONS

Our newly developed gender-specific models provide a more accurate predicted 5-year mortality risk for Chinese diabetic patients than other established models.

Curvilinear associations of sleep patterns during weekdays and weekends with glycemic control in type 2 diabetes: the Hong Kong Diabetes Registry

AIMS

We aimed to explore the associations of sleep patterns during weekdays and weekends with glycemic control in patients with type 2 diabetes.

METHODS

We examined the association between indices of glycemic control [glycated hemoglobin (HbA_1c) and fasting plasma glucose (FPG)] and sleep parameters (sleep duration, bedtime, and differences of sleep duration during weekdays and weekends) from adults with type 2 diabetes recruited in a prospective cohort enrolling from hospital medical clinics. Restricted cubic spline regression was used to examine the relationships between the glycemic indices and sleep parameters.

RESULTS

Excluding shift workers, a total of 3508 patients enrolled between July 2010 and July 2014 were included in this analysis. Mean age was 53.9 [standard deviation (SD) 8.7] years, and mean disease duration of diabetes was 8.3 (SD 7.1) years. Fifty-nine percentage were men. Mean sleep duration during weekdays and difference of sleep durations between weekdays and weekends were 7.7 (SD 1.3) hours and 0.6 (SD 1.2) hours, respectively. Mean HbA_1c and FPG were 7.6 (1.5) % and 7.6 (2.5) mmol/L, respectively. Using restricted cubic spline regressions with successive adjustments of potential confounders, sleep duration difference between weekdays and weekends remained significantly associated with both HbA_1c and FPG in a curvilinear manner. Sleep duration of about 1 h more during weekends when compared to weekdays was associated with beneficial effect in HbA_1c (-0.13 %, 95 % confidence interval -0.24 to -0.02).

CONCLUSIONS

In type 2 diabetes, regular sleeping habit with modest sleep compensation during weekends has positive impact on glycemic control.

Statins and the risk of pancreatic cancer in Type 2 diabetic patients--A population-based cohort study

The aim of this study was to determine whether statin use exerts a protective effect against pancreatic cancer in Type 2 diabetic patients. A retrospective population-based cohort study was designed to analyze the National Health Insurance Research database (NHIRD) from 1997-2010 in Taiwan. A total of 1,140,617 patients with a first-time diagnosis of Type 2 diabetes were enrolled. The event was defined as newly diagnosed pancreatic cancer. A Cox proportional hazards regression model with time-dependent covariates was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of pancreatic cancer associated with statin use in the diabetic cohort. A total of 2,341 patients with newly diagnosed pancreatic cancer were identified in the diabetic cohort during the follow-up period of 6,968,217.1 person-years. In this cohort, 450,282 patients were defined as statin users (statin use ≥ 28 cumulative defined daily dose [cDDD] in 1 year) and 0.14% had pancreatic cancer; 690,335 patients were statin nonusers (statin use <28 cDDD in 1 year) and 0.25% had pancreatic cancer. Statin use significantly decreased the risk of pancreatic cancer (adjusted HRs: 0.78 in 28-83 cDDD per year; 0.48 in 84-180 cDDD per year; and 0.33 in >180 cDDD per year) after adjusting for multiple confounders. There was a significant dose-effect of statin use for the risk of pancreatic cancer (p for trend: <0.001). Statin use may be associated with a reduced risk of pancreatic cancer in Type 2 diabetic patients. More research is needed to clarify this association.

Drug-subphenotype interactions for cancer in type 2 diabetes mellitus

On the basis of data obtained from a prospective cohort of Chinese patients with type 2 diabetes mellitus (T2DM), we discuss cancer subphenotypes (risk factors) in patients with T2DM, which can lead to drug-cancer subphenotype interactions. These subphenotypes include HDL cholesterol levels <1.0 mmol/l, co-occurrence of LDL cholesterol levels <2.8 mmol/l and triglyceride levels <1.7 mmol/l, and co-occurrence of LDL cholesterol levels <2.8 mmol/l and albuminuria. The increased risk of cancer associated with low levels of HDL cholesterol, low LDL cholesterol levels plus low triglyceride levels, and low levels of LDL cholesterol plus albuminuria can be reduced by treatment with metformin, renin-angiotensin system (RAS) inhibitors and statins, respectively. Mechanistic studies support the hypothesis that dysregulation of the 5'-AMP-activated protein kinase pathway and crosstalk between the RAS and insulin-like growth factor 1-cholesterol pathways create a cancer-promoting milieu in patients with T2DM. These findings highlight that in Chinese individuals, multiple pathways are implicated in the link between T2DM and cancer, which can generate multiple subphenotypes as well as drug-subphenotype interactions.

Severe hypoglycemia identifies vulnerable patients with type 2 diabetes at risk for premature death and all-site cancer: the Hong Kong diabetes registry

OBJECTIVE We examined the associations of clinical profiles in type 2 diabetic patients who developed severe hypoglycemia and their clinical outcomes, including death and all-site cancer. RESEARCH DESIGN AND METHODS A consecutive cohort of 8,767 type 2 diabetic patients with and without severe hypoglycemia in the 12 months before enrollment were recruited between 1995 and 2007, with follow-up until 2009. Severe hypoglycemia was defined by ICD-9 codes as hospitalizations resulting from hypoglycemia. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% CIs of clinical factors collected at enrollment for severe hypoglycemia. RESULTS In this cohort, mean age was 57.4 (SD 13.2) years and median disease duration of diabetes was 5 (interquartile range [IQR] 1-11) years. During a median follow-up of 6.71 (IQR 3.47-10.38) years, 235 patients had severe hypoglycemia (incidence 3.96 [95% CI 3.45-4.46] per 1,000 patient-years). At enrollment, patients with and without severe hypoglycemia had similar cancer rates. During follow-up, patients with severe hypoglycemia had a higher incidence of all-site cancer (13.4 vs. 6.4%, P < 0.0001) and mortality (32.8 vs. 11.2%, P < 0.0001) than those without severe hypoglycemia. After adjusting for confounders, old age, low BMI, high glycated hemoglobin, low triglyceride (TG), low LDL cholesterol (LDL-C), albuminuria, and chronic kidney disease were independent predictors for severe hypoglycemia. CONCLUSIONS In type 2 diabetes, severe hypoglycemia is associated with advanced age, renal dysfunction, poor glycemic control, and cancer subphenotypes (low BMI, low LDL-C, and low TG).

Enhancers and attenuators of risk associations of chronic hepatitis B virus infection with hepatocellular carcinoma in type 2 diabetes

Chronic hepatitis B virus (HBV) infection promotes hepatocellular carcinoma (HCC) risk. In type 2 diabetes (T2D), use of insulin and statins was associated with reduced cancer risk while co-presence of low LDL cholesterol (LDLC <2.8 mmol/l) plus low triglyceride (TG; <1.7 mmol/l) increased cancer risk. There is experimental evidence showing that insulin insufficiency might promote HCC. In this study, we examined whether this lipid subphenotype and use of insulin or statins might modify the promoting effect of chronic HBV infection (indicated by the presence of hepatitis B surface antigen) on HCC. We analyzed data of 1319 T2D patients enrolled into the Hong Kong Diabetes Registry from December 1996 to January 2005 and followed up to 2005. Additive interaction was estimated using relative excess risk due to interaction and attributable proportion due to interaction. During 5782 person-years of follow-up, 1.74% (n=23) of patients developed HCC (incidence, 3.98; 95% confidence interval, 2.36-5.60/1000 person-years). HbA1c ≥7.0% and the lipid phenotype (LDLC <2.8 mmol/l plus TG <1.7 mmol/l) increased the hazard ratios (HRs) of chronic HBV infection for HCC from 3.74 to 74.96 and from 11.01 to 89.82 respectively with significant interactions. Use of insulin or statins decreased the HRs from 37.51 to 5.87 and from 64.94 to 16.99 respectively with significant interactions (all P values <0.05). These findings support our hypothesis that hyperglycemia and co-presence of low LDLC plus low TG might enhance, while insulin or statin usage might attenuate the promoting effect of chronic HBV infection on HCC in T2D.

Diabetes and risk of cancer

Diabetes and cancer represent two complex, diverse, chronic, and potentially fatal diseases. Cancer is the second leading cause of death, while diabetes is the seventh leading cause of death with the latter still likely underreported. There is a growing body of evidence published in recent years that suggest substantial increase in cancer incidence in diabetic patients. The worldwide prevalence of diabetes was estimated to rise from 171 million in 2000 to 366 million in 2030. About 26.9% of all people over 65 have diabetes and 60% have cancer. Overall, 8–18% of cancer patients have diabetes. In the context of epidemiology, the burden of both diseases, small association between diabetes and cancer will be clinically relevant and should translate into significant consequences for future health care solutions. This paper summarizes most of the epidemiological association studies between diabetes and cancer including studies relating to the general all-site increase of malignancies in diabetes and elevated organ-specific cancer rate in diabetes as comorbidity. Additionally, we have discussed the possible pathophysiological mechanisms that likely may be involved in promoting carcinogenesis in diabetes and the potential of different antidiabetic therapies to influence cancer incidence.

Synergistic effects of low LDL cholesterol with other factors for the risk of cancer in type 2 diabetes: the Hong Kong Diabetes Registry

We have reported associations of cancer with low triglyceride and high high-density lipoprotein cholesterol (HDL-C) as well as co-presence of low low-density lipoprotein cholesterol (LDL-C) and albuminuria in type 2 diabetes (T2D). This analysis aims to test (1) whether low LDL-C and low triglyceride have synergistic effects to increase cancer risk in T2D and (2) whether high HDL-C enhances the effect of co-presence of low LDL-C and albuminuria on cancer risk. A prospective cohort of patients with T2D, established within the Prince of Wales Hospital, was used in the analysis. A total of 3,476 T2D patients in Hong Kong enrolled between 1996 and 2005, free of cancer at enrolment and not using statins or fibrates within 2.5 years before enrolment and during follow-up, were followed until 2005. The study measured additive interactions of low LDL-C with other factors for cancer using relative excess risk due to interaction (RERI) and attributable proportion due to interaction (AP). A statistically significant RERI > 0 or AP > 0 indicates additive interaction. During 5.11 years of follow-up, 199 patients developed cancer. Co-presence of triglyceride <1.70 mmol/L and LDL-C < 2.80 mmol/L was associated with increased cancer risk (multivariable hazard ratio [HR]:2.13, P = 0.0008) with significant interaction. Co-presence of HDL-C ≥ 1.30 mmol/L and LDL-C < 2.80 mmol/L plus albuminuria was also associated with increased cancer risk (HR: 3.84, P < 0.0001) with significant interaction. In T2D, low triglyceride may potentiate cancer risk associated with low LDL-C while high HDL-C enhances the synergistic effect of low LDL-C with albuminuria towards increased cancer risk.

Diabetes and cancer: the mechanistic implications of epidemiological analyses from the Hong Kong Diabetes Registry

Diabetes is a disorder of energy metabolism associated with increased cancer risk, but the underlying mechanism is poorly understood. In a prospective cohort of patients enrolled in the Hong Kong Diabetes Registry, we explored risk factors for cancer including drug usage in type 2 diabetes. In a series of published papers, we reported a linear risk association of cancer with glycated haemoglobin with a threshold at 6.0%-6.5% and non-linear risk associations of body mass index, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride and white blood cell (WBC) count in V-shaped or A-shaped manners. Detailed pharmacoepidemiological analysis revealed markedly attenuated cancer risk in patients treated with insulin and oral anti-diabetic drugs compared with non-users of these drugs. We further observed significant drug-subphenotype interactions with attenuated cancer risk in metformin users with low high-density lipoprotein cholesterol, renin-angiotensin system (RAS) inhibitor users with high WBC count and statin users with co-presence of low low-density lipoprotein cholesterol plus albuminuria or low triglyceride. These novel observations corroborate with experimental findings of possible consequences of hyperglycaemia on dysregulation of cholesterol metabolism, renin-angiotensin system and adenosine 5'-monophosphate-activated protein kinase pathways, all of which may be implicated in carcinogenesis. On the basis of these epidemiological and experimental findings, we argue for the strong need to strengthen the health care system to ensure that type 2 diabetes subjects receive appropriate drugs to optimize internal milieu to reduce all events including cancer. Apart from mechanistic studies, large-scale, randomized clinical trials using medications such as statin, renin-angiotensin system inhibitors and metformin in patients with risk-conferring subphenotypes are needed to confirm their anti-cancer effects.

Metformin: an emerging new therapeutic option for targeting cancer stem cells and metastasis

Metastasis is an intricate process by which a small number of cancer cells from the primary tumor site undergo numerous alterations, which enables them to form secondary tumors at another and often multiple sites in the host. Transition of a cancer cell from epithelial to mesenchymal phenotype is thought to be the first step in the progression of metastasis. Recently, the recognition of cancer stem cells has added to the perplexity in understanding metastasis, as studies suggest cancer stem cells to be the originators of metastasis. All current and investigative drugs have been unable to prevent or reverse metastasis, as a result of which most metastatic cancers are incurable. A potential drug that can be considered is metformin, an oral hypoglycemic drug. In this review we discuss the potential of metformin in targeting both epithelial to mesenchymal transition and cancer stem cells in combating cancer metastases.

Diabetes, insulin and cancer risk

There is a consensus that both type 1 and type 2 diabetes are associated with a spectrum of cancers but the underlying mechanisms are largely unknown. On the other hand, there are ongoing debates about the risk association of insulin use with cancer. We have briefly reviewed recent related research on exploration of risk factors for cancer and pharmacoepidemiological investigations into drug use in diabetes on the risk of cancer, as well as the current understanding of metabolic pathways implicated in intermediary metabolism and cellular growth. Based on the novel findings from the Hong Kong Diabetes Registry and consistent experimental evidence, we argue that use of insulin to control hyperglycemia is unlikely to contribute to increased cancer risk and that dysregulations in the AMP-activated protein kinase pathway due to reduced insulin action and insulin resistance, the insulin-like growth factor-1 (IGF-1)-cholesterol synthesis pathway and renin-angiotensin system, presumably due to reduced insulin secretion and hyperglycemia, may play causal roles in the increased risk of cancer in diabetes. Further exploration into the possible causal relationships between abnormalities of these pathways and the risk of cancer in diabetes is warranted.

Statins and the Risk of Hepatocellular Carcinoma in Patients With Hepatitis B Virus Infection

Purpose

Statins have potential protective effects against cancers, but no studies have focused on patients with chronic hepatitis B virus (HBV) infection. The purpose of this study was to investigate the association between the use of statins in HBV-infected patients and the risk of hepatocellular carcinoma (HCC).

Patients and Methods

We conducted a population-based cohort study from the Taiwan National Health Insurance Research Database. A total of 33,413 HBV-infected patients were included as the study cohort. Each patient was individually tracked from 1997 to 2008 to identify incident cases of HCC since 1999. Subsequent use of statin, other lipid-lowering agents, aspirin, and angiotensin-converting enzyme inhibitors was identified. Cox proportional hazards regression was used to calculate the hazard ratios (HRs) and 95% CIs for the association between the use of statins and the occurrence of HCC in the HBV-infected cohort.

Results

There were 1,021 HCCs in the HBV cohort during the follow-up period of 328,946 person-years; the overall incidence rate was 310.4 HCCs per 100,000 person-years. There was a dose-response relationship between statin use and the risk of HCC in the HBV cohort. The adjusted HRs were 0.66 (95% CI, 0.44 to 0.99), 0.41 (95% CI, 0.27 to 0.61), and 0.34 (95% CI, 0.18 to 0.67) for statin use of 28 to 90, 91 to 365, and more than 365 cumulative defined daily doses (cDDDs), respectively, relative to no statin use (< 28 cDDDs).

Conclusion

Statin use may reduce the risk for HCC in HBV-infected patients in a dose-dependent manner. Further mechanistic research is needed.

The Complexity of Vascular and Non-Vascular Complications of Diabetes: The Hong Kong Diabetes Registry

Diabetes is a complex disease characterized by chronic hyperglycemia and multiple phenotypes. In 1995, we used a doctor-nurse-clerk team and structured protocol to establish the Hong Kong Diabetes Registry in a quality improvement program. By 2009, we had accrued 2616 clinical events in 9588 Chinese type 2 diabetic patients with a follow-up duration of 6 years. The detailed phenotypes at enrollment and follow-up medications have allowed us to develop a series of risk equations to predict multiple endpoints with high sensitivity and specificity. In this prospective database, we were able to validate findings from clinical trials in real practice, confirm close links between cardiovascular and renal disease, and demonstrate the emerging importance of cancer as a leading cause of death. In addition to serving as a tool for risk stratification and quality assurance, ongoing data analysis of the registry also reveals secular changes in disease patterns and identifies unmet needs.