| Literature DB >> 29589385 |
Ivy H Y Ng1,2, Kitty K T Cheung1, Tiffany T L Yau1, Elaine Chow1, Risa Ozaki1, Juliana C N Chan1,3.
Abstract
The rapid increase in diabetes prevalence globally has contributed to large increases in health care expenditure on diabetic complications, posing a major health burden to countries worldwide. Asians are commonly observed to have poorer β-cell function and greater insulin resistance compared to the Caucasian population, which is attributed by their lower lean body mass and central obesity. This "double phenotype" as well as the rising prevalence of young onset diabetes in Asia has placed Asians with diabetes at high risk of cardiovascular and renal complications, with cancer emerging as an important cause of morbidity and mortality. The experience from Hong Kong had demonstrated that a multifaceted approach, involving team-based integrated care, information technological advances, and patient empowerment programs were able to reduce the incidence of diabetic complications, hospitalizations, and mortality. System change and public policies to enhance implementation of such programs may provide solutions to combat the burgeoning health problem of diabetes at a societal level.Entities:
Keywords: Diabetes complications; Diabetes mellitus, type 2; Integrated care
Year: 2018 PMID: 29589385 PMCID: PMC5874192 DOI: 10.3803/EnM.2018.33.1.17
Source DB: PubMed Journal: Endocrinol Metab (Seoul) ISSN: 2093-596X
Fig. 1Evolution and Implementation of Territory-wide Diabetes Quality Care Programs in Hong Kong. CUHK-PWH, Chinese University of Hong Kong-Prince of Wales Hospital; BP, blood pressure; BMI, body mass index; WC, waist circumference; HbA1c, glycated hemoglobin; JADE, Joint Asia Diabetes Evaluation; ABC, HbA1c, BP, low density lipoprotein cholesterol (LDL-C); PPP, Public Private Partnership; RAMP-DM, Risk Assessment and Management Program-Diabetes Mellitus; PEARL, Peer Support, Empowerment and Remote Communication Linked by Information Technology; T2DM, type 2 diabetes mellitus; PEP, Patient Empowerment Program.
Incidence of Cardiovascular-Renal Complications in Hong Kong Chinese with Type 2 Diabetes and the Benefits of Team-Based Structured Care in High and Low Risk Patients Managed in Both Public and Private-Public Partnership Settings since 1995
| CUHK-PWH Hong Kong Diabetes Register [ | ||
| 1995–2007, 1 public hospital, 8,558 patients, median duration of diabetes 5 years | ||
| Patients with complications after median follow-up 6.7 years, % | ||
| CKD | 32.5 | |
| CVD | 15.1 | |
| Death | 11.8 (cancer 23.7, circulatory disease 23.3, renal disease 13.4) | |
| Territory-wide Hong Kong Diabetes Database [ | ||
| 2000–2012, primary and secondary care settings, subgroup with duration of diabetes >15 years | ||
| Cohort year | 2000–2003 | 2010–2012 |
| No. of patients | 33,143 | 147,819 |
| Incidence (per 1,000 person-years [95% CI]) | ||
| ESRD | 25.75 (22.35–29.67) | 22.46 (20.86–24.17) |
| Stroke | 13.53 (11.06–16.56) | 10.13 (9.04–11.34) |
| AMI | 8.68 (6.75–11.18) | 5.76 (4.94–6.71) |
| Death | 29.03 (25.46–33.11) | 26.55 (24.84–28.38) |
| Risk Assessment Management Program in public primary care setting [ | ||
| 2009–2011, territory-wide public primary care clinics in low risk patients | ||
| Public-RAMP | Propensity-score matched control | |
| No. of patients | 8,570 | 8,570 |
| Mean duration of diabetes, yr | 8.67 | 8.54 |
| Patients with events after 5 years follow-up period, % | ||
| CVD | 12.33 | 23.97 |
| Stroke | 5.19 | 8.48 |
| Death | 7.96 | 21.35 |
| Public vs. PPP-JADE Program [ | ||
| 2007–2015, PPP: university-affiliated diabetes centre, private doctors and JADE technology | ||
| Public | PPP-JADE | |
| No. of patients | 3,570 | 3,424 |
| Median duration of diabetes, yr | 9 | 7.4 |
| Median follow-up, yr | 3.2 | 5.1 |
| Incidence (per 1,000 person-years [95% CI])a | ||
| CKD | 86.6 (80.32–93.39) | 39.96 (36.38–43.54) |
| ESRD | 15.6 (13.44–18.11) | 7.06 (5.92–8.43) |
| CHD | 7.19 (5.71–9.06) | 5.56 (4.5–6.87) |
| Stroke | 6.39 (5.03–8.13) | 4.09 (3.22–5.19) |
| Death | 15.19 (13.09–17.62) | 8.54 (7.28–10.03) |
CUHK-PWH, The Chinese University of Hong Kong–Prince of Wales Hospital; CKD, chronic kidney disease; CVD, cardiovascular disease; CI, confidence interval; ESRD, end stage renal disease; AMI, acute myocardial infarction; RAMP, Risk Assessment and Management Program; PPP-JADE, Private Public Partnership–Joint Asia Diabetes Evaluation; CHD, coronary heart disease.
aConsistent benefits in favor of PPP in patients with different risk profiles.
Fig. 2Hypothetical consequences of insulin deficiency and activation of the renin-angiotensin system (RAS) and insulin-like growth factor 1 (IGF-1) cholesterol pathways. Figure illustrates how insulin deficiency and activation of the RAS and IGF-1-cholesterol pathways might explain the link between type 2 diabetes mellitus and an increased risk of cancer. The possible benefits of insulin, statins and RAS inhibitors in reducing the risk of cancer in individuals with different subphenotypes: low density lipoprotein cholesterol (LDL-C) levels <2.8 mmol/L+triglyceride levels <1.7 mmol/L for those with upregulated IGF-1-cholesterol pathway; and LDL-C levels <2.8 mmol/L+albuminuria for those with hyperglycaemia-activated RAS pathway are shown. Double-headed arrow indicates crosstalk between pathways. Dashed arrow indicates pathway without supporting mechanistic evidence. Reprinted from Yang et al., with permission from Springer Nature [16]. SREBP, sterol regulatory element-binding protein.
Key Drug-Subphenotype Interactions with Attenuated Cancer Risk–Analysis of the Hong Kong Diabetes Register
| Key phenotypes | Drugs associated with reduced cancer risk | Hypothesized pathways |
|---|---|---|
| LDL-C <2.8 mmol/L+albuminuria [ | Statins and RAS blockers | RAS+IGF-1+HMGCR crosstalk |
| LDL-C <2.8 mmol/L+low TG <1.7 mmol/L [ | ||
| HDL-C <1 mmol/L [ | Metformin | AMPK |
| BMI >27.4 kg/m2 [ | Not applicable | Not applicable |
| WBC >8.2×109 count/L [ | RAS blockers | RAS |
RASLDL-C, low density lipoprotein cholesterol; HbA1c, glycated hemoglobin; TG, triglycerides; RAS, renin-angiotensin system; IGF-1, insulin-like growth factor; HMGCR, hydroxymethylglutaryl-CoA reductase; HDL-C, high density lipoprotein cholesterol; AMPK, adenosine 5′-monophosphate-activated protein kinase; BMI, body mass index; WBC, white blood cell.
Impact of Diabetes RAMP Adapted from the Joint Asia Diabetes Evaluation Programme on Treatment Goals and Clinical Outcomes in Primary Care Setting in Hong Kong
| Study | Outcomes | HR (95% CI; |
|---|---|---|
| Jiao et al. (2016) [ | Microvascular complications | 0.73 (0.66–0.81; <0.001) |
| 3 Years propensity matched cohort (RAMP-DM vs. usual care) | STDR/blindness | 0.55 (0.39–0.78; 0.001) |
| 14,835 Patients/group | ESRD | 0.4 (0.24–0.69; 0.001) |
| LL ulcers/amputation | 0.49 (0.30–0.80; 0.005) | |
| Wan et al. (2018) [ | Microvascular complications | 0.881 (0.834–0.93; 0.001) |
| 5 Years propensity matched cohort (RAMP-DM vs. usual care) | CVD | 0.434 (0.4144–0.0455; 0.001) |
| 26,718 Patients/group | All cause mortality | 0.339 (0.321–0.357; 0.001) |
| Hospitalizations | 0.415 (0.403–0.4428; 0.001) | |
| Emergency attendance | 0.588 (0.575–0.602; 0.001) | |
| Specialist clinic attendance | 0.65 (0.636–0.664; 0.001) | |
| Fung et al. (2015) [ | Proportions of patients reaching treatment goals (2009 vs. 2013) | |
| Longitudinal study (2009 vs. 2013) | LDL-C <2.6 mmol/L | 25.9%→65.6% |
| 127,977 Patients in primary care | HbA1c <7% | 47.5%→56.5% |
| SBP <130 mm Hg | 47.5%→56.5% | |
| DBP <80 mm Hg | 65.7%→77.5% | |
| Waist hip ratio ≤0.9 male; ≤0.85 female | 22.9%→18.7% | |
| Urine ACR ≤2.5 mg/mmol male; ≤3.5 mg/mmol female | 77%→73.7% | |
| Drug use pattern (2009 vs. 2013) | ||
| Statin | 9%→55% | |
| OAD+insulin | 0.5%→3% | |
| ACEI/ARB | 59.4%→58.3% | |
| CCB | 73.9%→71% |
RAMP, Risk Assessment and Management Program; HR, hazard ratio; CI, confidence interval; DM, diabetes mellitus; STDR, sight threatening diabetic retinopathy; ESRD, end stage renal disease; LL, lower limb; CVD, cardiovascular disease; LDL-C; low density lipoprotein cholesterol; HbA1c, glycated hemoglobin; SBP, systolic blood pressure; DBP, diastolic blood pressure; ACR, albumin-creatinine ratio; OAD, oral anti-diabetic drug; ACEI, angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; CCB, calcium channel blockers.