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Barker MM, Davies MJ, Sargeant JA, Chan JCN, Gregg EW, Shabnam S, Khunti K, Zaccardi F. Age at Type 2 Diabetes Diagnosis and Cause-Specific Mortality: Observational Study of Primary Care Patients in England. Diabetes Care 2023; 46:1965-1972. [PMID: 37625035 DOI: 10.2337/dc23-0834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023]
Abstract
OBJECTIVE To examine the associations between age at type 2 diabetes diagnosis and the relative and absolute risk of all-cause and cause-specific mortality in England. RESEARCH DESIGN AND METHODS In this cohort study using primary care data from the Clinical Practice Research Datalink, we identified 108,061 individuals with newly diagnosed type 2 diabetes (16-50 years of age), matched to 829,946 individuals without type 2 diabetes. We estimated all-cause and cause-specific mortality (cancer, cardiorenal, other [noncancer or cardiorenal]) by age at diagnosis, using competing-risk survival analyses adjusted for key confounders. RESULTS Comparing individuals with versus without type 2 diabetes, the relative risk of death decreased with an older age at diagnosis: the hazard ratio for all-cause mortality was 4.32 (95% CI 3.35-5.58) in individuals diagnosed at ages 16-27 years compared with 1.53 (95% CI 1.46-1.60) at ages 48-50 years. Smaller relative risks by increasing age at diagnosis were also observed for cancer, cardiorenal, and noncancer or cardiorenal death. Irrespective of age at diagnosis, the 10-year absolute risk of all-cause and cause-specific mortality were higher in individuals with type 2 diabetes; yet, the absolute differences were small. CONCLUSIONS Although the relative risk of death in individuals with versus without type 2 was higher at younger ages, the 10-year absolute risk of all investigated causes of death was small and similar in the two groups. Further multidecade studies could help estimate the long-term risk of complications and death in individuals with early-onset type 2 diabetes.
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Affiliation(s)
- Mary M Barker
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, U.K
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, College of Life Sciences, Leicester General Hospital, Leicester, U.K
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, U.K
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, U.K
| | - Jack A Sargeant
- Diabetes Research Centre, University of Leicester, College of Life Sciences, Leicester General Hospital, Leicester, U.K
- Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, U.K
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, U.K
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
| | - Edward W Gregg
- School of Population Health, Royal College of Surgeons of Ireland, University of Medicine and Health Sciences, Dublin, Ireland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, U.K
| | - Sharmin Shabnam
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, U.K
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, U.K
- Diabetes Research Centre, University of Leicester, College of Life Sciences, Leicester General Hospital, Leicester, U.K
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, U.K
- National Institute for Health Research Applied Research Collaboration East Midlands, Leicester Diabetes Centre, University of Leicester, Leicester, U.K
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, U.K
- Diabetes Research Centre, University of Leicester, College of Life Sciences, Leicester General Hospital, Leicester, U.K
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, U.K
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Pik-Shan Kong A, Siu-Him Lau E, Chun-Kwan O, On-Yan Luk A, Cheuk-Fung Yip T, Yee-Kwan Chow E, Kwok R, Won Lee H, Lai-Hung Wong G, Ching-Wan Ma R, Lik-Yuen Chan H, Wai-Sun Wong V, Chung-Ngor Chan J. Advanced liver fibrosis predicts heart failure and hospitalizations in people with type 2 diabetes: A prospective cohort study from Hong Kong Diabetes Register. Diabetes Res Clin Pract 2023:110825. [PMID: 37442241 DOI: 10.1016/j.diabres.2023.110825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/05/2023] [Accepted: 07/08/2023] [Indexed: 07/15/2023]
Abstract
AIMS We aimed to examine the impact of non-alcoholic fatty liver disease (NAFLD) on the clinical outcomes in patients with type 2 diabetes (T2D). METHODS Between 2013 and 2014, 1,734 patients with T2D underwent transient elastography (TE) to assess liver status indicated by controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Liver steatosis was defined by CAP ≥248 dB/m and advanced liver fibrosis by LSM ≥10kPa. In 2019, we assessed their clinical outcomes including hospitalizations and mortality. RESULTS In this prospective cohort [56% men, mean (±standard deviation) age:60.8±11.5 years; glycated hemoglobin (HbA1c)7.8±1.6 %], 798 patients had liver steatosis, 296 patients had advanced liver fibrosis and 640 patients had normal liver at baseline. T2D with advanced liver fibrosis had higher body mass index, waist circumference, waist-hip ratio, fasting plasma glucose, HbA1c, blood pressure and lipid profiles than their counterparts with NAFLD or normal liver (all p<0.05). After a median follow-up of 6.07 (interquartile range:5.84 to 6.30) years, there were 4,403 incident hospitalizations, 32,119 days of hospital stay, and 171 deaths. Using Cox regression analysis, advanced liver fibrosis was associated with increased risk of heart failure (hazard ratio [95% confidence interval] HR:3.07[1.08-8.68], p=0.035) and hospitalizations (HR: 1.39[1.14 -1.70], p=0.001) while liver steatosis was associated with reduced mortality (HR:0.60[0.41-0.87], p=0.007) compared to their counterparts with normal liver after adjustment for potential confounders. CONCLUSIONS T2D comorbid with liver steatosis and advanced liver fibrosis are distinct clinical entities with differences in outcomes. Advanced liver fibrosis is an important predictor for worse outcomes including heart failure and hospitalizations in people with T2D.
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Affiliation(s)
- Alice Pik-Shan Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eric Siu-Him Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Asia Diabetes Foundation, Hong Kong SAR, China
| | - O Chun-Kwan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Andrea On-Yan Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Terry Cheuk-Fung Yip
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Elaine Yee-Kwan Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Raymond Kwok
- Department of Gastroenterology, Blacktown Hospital, Sydney, Australia
| | - Hye Won Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Grace Lai-Hung Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Medical Data Analytics Centre, Department of Medicine and Therapeutics, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ronald Ching-Wan Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Henry Lik-Yuen Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Juliana Chung-Ngor Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China; Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China; Asia Diabetes Foundation, Hong Kong SAR, China
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Ke C, Narayan KMV, Chan JCN, Jha P, Shah BR. Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations. Nat Rev Endocrinol 2022; 18:413-432. [PMID: 35508700 PMCID: PMC9067000 DOI: 10.1038/s41574-022-00669-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/24/2022] [Indexed: 02/08/2023]
Abstract
Nearly half of all adults with type 2 diabetes mellitus (T2DM) live in India and China. These populations have an underlying predisposition to deficient insulin secretion, which has a key role in the pathogenesis of T2DM. Indian and Chinese people might be more susceptible to hepatic or skeletal muscle insulin resistance, respectively, than other populations, resulting in specific forms of insulin deficiency. Cluster-based phenotypic analyses demonstrate a higher frequency of severe insulin-deficient diabetes mellitus and younger ages at diagnosis, lower β-cell function, lower insulin resistance and lower BMI among Indian and Chinese people compared with European people. Individuals diagnosed earliest in life have the most aggressive course of disease and the highest risk of complications. These characteristics might contribute to distinctive responses to glucose-lowering medications. Incretin-based agents are particularly effective for lowering glucose levels in these populations; they enhance incretin-augmented insulin secretion and suppress glucagon secretion. Sodium-glucose cotransporter 2 inhibitors might also lower blood levels of glucose especially effectively among Asian people, while α-glucosidase inhibitors are better tolerated in east Asian populations versus other populations. Further research is needed to better characterize and address the pathophysiology and phenotypes of T2DM in Indian and Chinese populations, and to further develop individualized treatment strategies.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China.
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Nutrition and Health Sciences Program, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, GA, USA
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Asia Diabetes Foundation, Shatin, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Prabhat Jha
- Centre for Global Health Research, Unity Health Toronto, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Koye DN, Ling J, Dibato J, Khunti K, Montvida O, Paul SK. Temporal Trend in Young-Onset Type 2 Diabetes-Macrovascular and Mortality Risk: Study of U.K. Primary Care Electronic Medical Records. Diabetes Care 2020; 43:2208-2216. [PMID: 32616608 DOI: 10.2337/dc20-0417] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 05/21/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To evaluate temporal prevalence trend, cardiometabolic risk factors, and the risk of atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality (ACM) in incident young- and usual-onset type 2 diabetes. RESEARCH DESIGN AND METHODS From the U.K. primary care database, 370,854 people with a new diagnosis of type 2 diabetes from 2000 to 2017 were identified. Analyses were conducted by age-group (18-39, 40-49, 50-59, 60-69, 70-79 years) and high-/low-risk status without history of ASCVD at diagnosis, with subjects with two or more of current smoking, high systolic blood pressure, high LDL cholesterol (LDL-C), or chronic kidney disease classified as high risk. RESULTS The proportion of people aged <50 years at diagnosis increased during 2000-2010 and then stabilized. The incidence rates of ASCVD and ACM declined in people aged ≥50 years but did not decrease in people <50 years. Compared with people aged ≥50 years, those aged 18-39 years at diagnosis had a higher proportion of obesity (71% obese) and higher HbA1c (8.6%), and 71% had high LDL-C, while only 18% were on cardioprotective therapy. Although 2% in this age-group had ASCVD at diagnosis, 23% were identified as high risk. In the 18-39-year age-group, the adjusted average years to ASCVD/ACM in high-risk individuals (9.1 years [95% CI 8.2-10.0]/9.3 years [8.1-10.4]) were similar to the years in those with low risk (10.0 years [9.5-10.5]/10.5 years [9.7-11.2]). However, individuals aged ≥50 years with high risk were likely to experience an ASCVD event 1.5-2 years earlier and death 1.1-1.5 years earlier compared with low-risk groups (P < 0.01). CONCLUSIONS Unlike usual-onset, young-onset type 2 diabetes has similar cardiovascular and mortality risk irrespective of cardiometabolic risk factor status at diagnosis. The guidelines on the management of young-onset type 2 diabetes for intensive risk factor management and cardioprotective therapies need to be urgently reevaluated through prospective studies.
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Affiliation(s)
- Digsu N Koye
- Melbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Joanna Ling
- Melbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia.,School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
| | - John Dibato
- Melbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Kamlesh Khunti
- Department of Health Sciences, University of Leicester, Leicester, U.K
| | - Olga Montvida
- Melbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Sanjoy K Paul
- Melbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
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