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Yang A, Chen T, Shi M, Lau E, Sm Wong R, Chan J, Cn Chan J, Chow E. Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong. Diabetes Res Clin Pract 2024; 210:111618. [PMID: 38490493 DOI: 10.1016/j.diabres.2024.111618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/28/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
AIMS Direct comparisons of population-level trends in all-cause and cause-specific mortalities among older adults with and without diabetes are lacking. METHODS We performed a territory-wide analysis of 1,142,000 unique older adults aged ≥ 65 years (31.7 % with diabetes) with at least one attendance in the Hong Kong Hospital Authority in 2014-2018. We used Joinpoint regression to describe trends of age- and sex-standardised all-cause and cause-specific mortalities (cardiovascular disease [CVD], cancer, and non-CVD and non-cancer) in older adults with and without diabetes. RESULTS All-cause mortality decreased in older adults with (average annual percent change [AAPC] = -1.6, 95 % confidence interval [-2.7, -0.4]) and without (AAPC = -3.1 [-4.2, -2.1]) diabetes. Largest declines were seen for CVD-cause mortalities for people with and without diabetes (AAPC = -5.5 [-6.8, -4.1] vs AAPC = -5.8 [-8.6, -2.9], respectively). Cancer-cause mortalities were similar in both groups with no change. Men with diabetes showed less favourable improvements. An increasing mortality trend was seen only in the 65-69 age-group regardless of diabetes status. CONCLUSIONS Mortality continued to decline in older adults with and without diabetes, mainly driven by a decline in CVD deaths, with no narrowing of the mortality gap. Our findings call for continued actions to address excess mortalities especially in older men with diabetes and younger older adults.
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Affiliation(s)
- Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Tingting Chen
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Eric Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Raymond Sm Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Jones Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Juliana Cn Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China; Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
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Williams BA, Rajpura J, Paprocki YM, Kumar N, Voyce S, Brady JP, Chang A. Temporal trends in cardiovascular outcomes and costs among patients with type 2 diabetes. Am Heart J 2023; 265:161-169. [PMID: 37516264 DOI: 10.1016/j.ahj.2023.07.012] [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: 02/07/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Type 2 diabetes (T2D) is a strong risk factor for cardiovascular (CV) disease. CV outcomes in T2D have generally been improving over time but recent data from the US suggest attenuation of trends in older adults with reversal of trends in younger adults. However, published data are only reported through 2015. OBJECTIVES To quantify trends over time in CV outcomes from 2001 to 2018, and describe changes over time in health care costs in T2D. METHODS This retrospective cohort study incorporated data from a regional health insurance plan. Study outcomes included acute myocardial infarction (AMI), ischemic stroke, hemorrhagic stroke, heart failure hospitalization (HFH), percutaneous coronary intervention, coronary artery bypass surgery, and all-cause mortality. Poisson regression estimated rate ratios across the entire 17-year study period (RR17). RESULTS Among 79,392 T2D members tracked on average 4.1 years, overall trends in AMI (RR17 = 0.69; 95% CI: 0.64, 0.74), HFH (RR17 = 0.82; 0.79, 0.86), and all-cause mortality (RR17 = 0.87; 0.84, 0.91) improved while ischemic stroke (RR17 = 2.36; 2.16, 2.57) worsened. For AMI, HFH, and all-cause mortality, trends in older age groups were significantly better than in younger age groups (interaction P-values < .001). Health care costs related to pharmaceuticals (+15%/year) and emergency department (ED) visits (>15%/year) increased at faster rates than other utilization metrics (+10%/year). CONCLUSIONS In T2D, overall trends in most CV outcomes improved but smaller improvements or worsening trends were observed in younger patients. Health care costs accelerated at faster rates for medications and ED visits.
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Davis WA, Davis TME. Temporal trends in chronic complications of diabetes by sex in community-based people with type 2 diabetes: the Fremantle Diabetes Study. Cardiovasc Diabetol 2023; 22:253. [PMID: 37716976 PMCID: PMC10505315 DOI: 10.1186/s12933-023-01980-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/05/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Whether recent reductions in cardiovascular disease (CVD) events and mortality in type 2 diabetes apply equally to both sexes is largely unknown. The aim of this study was to characterize temporal changes in CVD events and related outcomes in community-based male and female Australian adults with type 2 diabetes or without known diabetes. METHODS Participants from the longitudinal observational Fremantle Diabetes Study Phases I (FDS1; n = 1291 recruited 1993-1996) and II (FDS2; n = 1509 recruited 2008-2011) and four age-, sex- and postcode-matched individuals without diabetes (FDS1 n = 5159; FDS2 n = 6036) were followed for first myocardial infarction, stroke, heart failure hospitalization, lower extremity amputation, CVD death and all-cause mortality. Five-year incidence rates (IRs) for males versus females in FDS1 and FDS2 were calculated, and IR ratios (IRRs) derived. RESULTS The FD1 and FDS2 participants were of mean age 64.0 and 65.4 years, respectively, and 48.7% and 51.8% were males. For type 2 diabetes, IRRs for all endpoints were 11-62% lower in FDS2 than FDS1 for both sexes. For participants without diabetes, IRRs were 8-56% lower in FDS2 versus FDS1 apart from stroke in females (non-significantly 41% higher). IRRs for males versus females across FDS phases were not significantly different for participants with type 2 diabetes or those without diabetes (P-values for male * FDS2 interaction ≥ 0.0.083 adjusted for age). For risk factors in participants with type 2 diabetes, greater improvements between FDS1 and FDS2 in smoking rates in males were offset by a greater reduction in systolic blood pressure in females. CONCLUSIONS The incidence of chronic complications in Australians with type 2 diabetes and without diabetes has fallen similarly in both sexes over recent decades, consistent with comparably improved overall CVD risk factor management.
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Affiliation(s)
- Wendy A Davis
- Medical School, University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia
| | - Timothy M E Davis
- Medical School, University of Western Australia, Fremantle Hospital, P. O. Box 480, Fremantle, WA, 6959, Australia.
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Wang Y, Xu W, Mak IL, Chin WY, Yu EYT, Lam CLK, Wan EYF. 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. EClinicalMedicine 2023; 60:101999. [PMID: 37234549 PMCID: PMC10206435 DOI: 10.1016/j.eclinm.2023.101999] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/17/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023] Open
Abstract
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.
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Affiliation(s)
- Yuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wanchun Xu
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivy Lynn Mak
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Weng Yee Chin
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Yee Tak Yu
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cindy Lo Kuen Lam
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine, The University of Hong Kong - Shenzhen Hospital, Guangdong, China
| | - Eric Yuk Fai Wan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
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Ling S, Zaccardi F, Issa E, Davies MJ, Khunti K, Brown K. Inequalities in cancer mortality trends in people with type 2 diabetes: 20 year population-based study in England. Diabetologia 2023; 66:657-673. [PMID: 36690836 PMCID: PMC9947024 DOI: 10.1007/s00125-022-05854-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 11/15/2022] [Indexed: 01/25/2023]
Abstract
AIMS/HYPOTHESIS The aim of this study was to describe the long-term trends in cancer mortality rates in people with type 2 diabetes based on subgroups defined by sociodemographic characteristics and risk factors. METHODS We defined a cohort of individuals aged ≥35 years who had newly diagnosed type 2 diabetes in the Clinical Practice Research Datalink between 1 January 1998 and 30 November 2018. We assessed trends in all-cause, all-cancer and cancer-specific mortality rates by age, gender, ethnicity, socioeconomic status, obesity and smoking status. We used Poisson regression to calculate age- and calendar year-specific mortality rates and Joinpoint regression to assess trends for each outcome. We estimated standardised mortality ratios comparing mortality rates in people with type 2 diabetes with those in the general population. RESULTS Among 137,804 individuals, during a median follow-up of 8.4 years, all-cause mortality rates decreased at all ages between 1998 and 2018; cancer mortality rates also decreased for 55- and 65-year-olds but increased for 75- and 85-year-olds, with average annual percentage changes (AAPCs) of -1.4% (95% CI -1.5, -1.3), -0.2% (-0.3, -0.1), 1.2% (0.8, 1.6) and 1.6% (1.5, 1.7), respectively. Higher AAPCs were observed in women than men (1.5% vs 0.5%), in the least deprived than the most deprived (1.5% vs 1.0%) and in people with morbid obesity than those with normal body weight (5.8% vs 0.7%), although all these stratified subgroups showed upward trends in cancer mortality rates. Increasing cancer mortality rates were also observed in people of White ethnicity and former/current smokers, but downward trends were observed in other ethnic groups and non-smokers. These results have led to persistent inequalities by gender and deprivation but widening disparities by smoking status. Constant upward trends in mortality rates were also observed for pancreatic, liver and lung cancer at all ages, colorectal cancer at most ages, breast cancer at younger ages, and prostate and endometrial cancer at older ages. Compared with the general population, people with type 2 diabetes had a more than 1.5-fold increased risk of colorectal, pancreatic, liver and endometrial cancer mortality during the whole study period. CONCLUSIONS/INTERPRETATION In contrast to the declines in all-cause mortality rates at all ages, the cancer burden has increased in older people with type 2 diabetes, especially for colorectal, pancreatic, liver and endometrial cancer. Tailored cancer prevention and early detection strategies are needed to address persistent inequalities in the older population, the most deprived and smokers.
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Affiliation(s)
- Suping Ling
- Leicester Real World Evidence Unit, Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
- Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
| | - Francesco Zaccardi
- Leicester Real World Evidence Unit, Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health and Care Research (NIHR) Applied Research Collaboration East Midlands (ARC EM), University of Leicester, Leicester, UK
| | - Eyad Issa
- Leicester HPB Unit, Leicester General Hospital, Leicester, UK
- Leicester Cancer Research Centre, Leicester Royal Infirmary, University of Leicester, Leicester, UK
| | - Melanie J Davies
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health and Care Research (NIHR) Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- Leicester Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK
- National Institute for Health and Care Research (NIHR) Applied Research Collaboration East Midlands (ARC EM), University of Leicester, Leicester, UK
| | - Karen Brown
- Leicester Cancer Research Centre, Leicester Royal Infirmary, University of Leicester, Leicester, UK
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Ling S, Zaccardi F, Vlacho B, Li P, Real Gatius J, Mata-Cases M, Franch-Nadal J, Kosiborod MN, Gillies C, Fenici P, Mauricio D, Shah BR, Khunti K. All-cause and cardiorenal mortality in 6 million adults with and without type 2 diabetes: A comparative, trend analysis in Canada, Spain, and the UK. Diabetes Obes Metab 2023; 25:132-143. [PMID: 36056765 PMCID: PMC10087715 DOI: 10.1111/dom.14856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 12/14/2022]
Abstract
AIMS To understand geographical and temporal patterns in the diabetes gap, the excess mortality risk associated with type 2 diabetes (T2D), in three high-income countries. METHODS Using databases from Canada (Ontario), Spain (Catalonia) and the UK (England), we harmonized the study design and the analytical strategy to extract information on subjects aged over 35 years with incident T2D between 1998 and 2018 matched to up to five subjects without diabetes. We used Poisson models to estimate age-specific mortality trends by diabetes status and rate ratios and rate differences associated with T2D. RESULTS In more than 6 million people, 694 454 deaths occurred during a follow-up of 52 million person-years. Trends in all-cause mortality rates differed between Ontario and England; yet, the diabetes gaps were very similar in recent years: in 2018, we estimated 1.3 (95% confidence interval: 0.8, 1.8) and 0.8 (0.2, 1.5) more deaths per 1000 person-years in 50-year-old men with diabetes in Ontario and England, respectively, and 8.9 (6.1, 11.7) and 12.1 (9.1, 15.1) in 80-year-old men; between-country differences were small also in women. In Catalonia, rate ratios comparing T2D with no diabetes in men in 2018 were 1.53 (1.11, 2.11) at 50 years old, 0.88 (0.72, 1.06) at 60 years old, 0.74 (0.60, 0.90) at 70 years old and 0.81 (0.66, 1.00) at 80 years old, indicating lower mortality rates in men with T2D from the age of 60 years; rates were similar in women with and without diabetes at all ages. The diabetes gaps in cardiorenal mortality mirrored those of all-cause mortality: we observed consistent reductions in the proportions of cardiorenal deaths in subjects aged 80 years but variations in subjects aged ≤70 years, regardless of the presence of diabetes. CONCLUSIONS By reducing the confounding impact of epidemiological and analytical differences, this study showed geographical similarities and differences in the diabetes gap: an excess risk of all-cause and cardiorenal mortality in subjects with T2D is still present in Ontario and England in recent years, particularly in elderly subjects. Conversely, there were very small gaps in young men with T2D or even lower mortality rates in older subjects with T2D in Catalonia.
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Affiliation(s)
- Suping Ling
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
- Department of Non-communicable Disease Epidemiology, Faculty of Epidemiology & Population Health, The London School of Hygiene & Tropical Medicine, London, UK
| | - Francesco Zaccardi
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Bogdan Vlacho
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Ping Li
- Institute for Clinical Evaluative Sciences (ICES), Burnaby, Canada
| | - Jordi Real Gatius
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Manel Mata-Cases
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Josep Franch-Nadal
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Mikhail N Kosiborod
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
- University of Missouri, Kansas City, Missouri, USA
| | - Clare Gillies
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Peter Fenici
- AstraZeneca, Cambridge, UK
- Medical Innovation, AstraZeneca SpA, Milan, Italy
- Catholic University, School of Medicine and Surgery, Rome, Italy
- Biomagnetism and Clinical Physiology International Center (BACPIC), Rome, Italy
| | - Dídac Mauricio
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Department of Medicine, University of Vic - Central University of Catalonia, Vic, Spain
- Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Baiju R Shah
- Institute for Clinical Evaluative Sciences (ICES), Burnaby, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Kamlesh Khunti
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
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Lv F, Gao X, Huang AH, Zu J, He X, Sun X, Liu J, Gao N, Jiao Y, Keane MG, Zhang L, Yeo YH, Wang Y, Ji F. Excess diabetes mellitus-related deaths during the COVID-19 pandemic in the United States. EClinicalMedicine 2022; 54:101671. [PMID: 36168320 PMCID: PMC9500386 DOI: 10.1016/j.eclinm.2022.101671] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is a critical risk factor for severe SARS-CoV-2 infection, and SARS-CoV-2 infection contributes to worsening glycemic control. The COVID-19 pandemic profoundly disrupted the delivery of care for patients with diabetes. We aimed to determine the trend of DM-related deaths during the pandemic. METHODS In this serial population-based study between January 1, 2006 and December 31, 2021, mortality data of decedents aged ≥25 years from the National Vital Statistics System dataset was analyzed. Decedents with DM as the underlying or contributing cause of death on the death certificate were defined as DM-related deaths. Excess deaths were estimated by comparing observed versus expected age-standardized mortality rates derived from mortality during 2006-2019 with linear and polynomial regression models. The trends of mortality were quantified with joinpoint regression analysis. Subgroup analyses were performed by age, sex, race/ethnicity, and state. FINDINGS Among 4·25 million DM-related deaths during 2006-2021, there was a significant surge of more than 30% in mortality during the pandemic, from 106·8 (per 100,000 persons) in 2019 to 144·1 in 2020 and 148·3 in 2021. Adults aged 25-44 years had the most pronounced rise in mortality. Widened racial/ethnic disparity was observed, with Hispanics demonstrating the highest excess deaths (67·5%; 95% CI 60·9-74·7%), almost three times that of non-Hispanic whites (23·9%; 95% CI 21·2-26·7%). INTERPRETATION The United States saw an increase in DM-related mortality during the pandemic. The disproportionate rise in young adults and the widened racial/ethnic disparity warrant urgent preventative interventions from diverse stakeholders. FUNDING National Natural Science Foundation of China.
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Affiliation(s)
- Fan Lv
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Xu Gao
- Division of Gastroenterology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
- Department of Infectious Diseases, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Amy Huaishiuan Huang
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jian Zu
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
- Corresponding author at: School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, PRC.
| | - Xinyuan He
- Department of Infectious Diseases, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Xiaodan Sun
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Jinli Liu
- China-Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, Shaanxi, Peoples Republic of China
| | - Ning Gao
- Department of Infectious Diseases, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Yang Jiao
- Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
| | - Margaret G. Keane
- Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Lei Zhang
- China-Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, Shaanxi, Peoples Republic of China
- Artificial Intelligence and Modelling in Epidemiology Program, Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
- Central Clinical School, Faculty of Medicine, Monash University, Melbourne, Australia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, Peoples Republic of China
| | - Yee Hui Yeo
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Corresponding author at: Division of General Internal Medicine, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, California, USA.
| | - Youfa Wang
- Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, Peoples Republic of China
| | - Fanpu Ji
- Department of Infectious Diseases, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
- Global Health Institute, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, Peoples Republic of China
- National & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, Peoples Republic of China
- Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education of China, Xi'an, Shaanxi, Peoples Republic of China
- Corresponding author at: Department of Infectious Diseases, The Second Affiliated Hospital of Xian Jiaotong University, No.157 Xi Wu Road, Xi'an 710004, Shaanxi Province, PRC.
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Diabetes: A Multifaceted Disorder. Biomedicines 2022; 10:biomedicines10071698. [PMID: 35885003 PMCID: PMC9312760 DOI: 10.3390/biomedicines10071698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/16/2022] Open
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9
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Morton JI, Sacre JW, McDonald SP, Magliano DJ, Shaw JE. Excess all-cause and cause-specific mortality for people with diabetes and end-stage kidney disease. Diabet Med 2022; 39:e14775. [PMID: 34951712 DOI: 10.1111/dme.14775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/20/2021] [Indexed: 11/29/2022]
Abstract
AIMS Excess mortality is high in the setting of diabetes and end-stage kidney disease (ESKD), but the effects of ESKD beyond diabetes itself remains incompletely understood. We examined excess mortality in people with diabetes with versus without ESKD, and variation by age, sex and diabetes type. METHODS This study included 63,599 people with type 1 (aged 20-69 years; 56% men) and 1,172,160 people with type 2 diabetes (aged 30+ years; 54% men), from the Australian National Diabetes Services Scheme. Initiation of renal replacement therapy and mortality outcomes were obtained via linkage to the Australia and New Zealand Dialysis and Transplant Registry and the National Death Index, respectively. Excess mortality was measured by calculating the mortality rate ratio (MRR) for people with versus without ESKD via indirect standardisation. RESULTS A total of 9027 people developed ESKD during 8,601,522 person-years of follow-up. Among people with type 1 diabetes, the MRR was 34.9 (95%CI: 16.6-73.1) in men and 41.5 (20.8-83.1) in women aged 20-29 years and was 5.6 (4.5-7.0) and 7.4 (5.5-10.1) in men and women aged 60-69 years, respectively. In type 2 diabetes, MRRs were 16.6 (8.6-31.8) and 35.8 (17.0-75.2) at age 30-39 years and were 2.8 (2.6-3.1) and 3.6 (3.2-4.1) at age 80+ years in men and women, respectively. Excess cause-specific mortality was highest for peripheral artery disease, cardiac arrest, and infections, and lowest for cancer. CONCLUSIONS Among people with diabetes, excess mortality in ESKD is much higher at younger ages and is higher for women compared with men.
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Affiliation(s)
- Jedidiah I Morton
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Julian W Sacre
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Stephen P McDonald
- Australia and New Zealand Dialysis and Transplant Registry, South Australia Health and Medical Research Institute, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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10
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Ruiz PLD, Chen L, Morton JI, Salim A, Carstensen B, Gregg EW, Pavkov ME, Mata-Cases M, Mauricio D, Nichols GA, Pildava S, Read SH, Wild SH, Shaw JE, Magliano DJ. Mortality trends in type 1 diabetes: a multicountry analysis of six population-based cohorts. Diabetologia 2022; 65:964-972. [PMID: 35314870 PMCID: PMC9076725 DOI: 10.1007/s00125-022-05659-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/30/2021] [Indexed: 12/23/2022]
Abstract
AIMS/HYPOTHESIS Mortality has declined in people with type 1 diabetes in recent decades. We examined how the pattern of decline differs by country, age and sex, and how mortality trends in type 1 diabetes relate to trends in general population mortality. METHODS We assembled aggregate data on all-cause mortality during the period 2000-2016 in people with type 1 diabetes aged 0-79 years from Australia, Denmark, Latvia, Scotland, Spain (Catalonia) and the USA (Kaiser Permanente Northwest). Data were obtained from administrative sources, health insurance records and registries. All-cause mortality rates in people with type 1 diabetes, and standardised mortality ratios (SMRs) comparing type 1 diabetes with the non-diabetic population, were modelled using Poisson regression, with age and calendar time as quantitative variables, describing the effects using restricted cubic splines with six knots for age and calendar time. Mortality rates were standardised to the age distribution of the aggregate population with type 1 diabetes. RESULTS All six data sources showed a decline in age- and sex-standardised all-cause mortality rates in people with type 1 diabetes from 2000 to 2016 (or a subset thereof), with annual changes in mortality rates ranging from -2.1% (95% CI -2.8%, -1.3%) to -5.8% (95% CI -6.5%, -5.1%). All-cause mortality was higher for male individuals and for older individuals, but the rate of decline in mortality was generally unaffected by sex or age. SMR was higher in female individuals than male individuals, and appeared to peak at ages 40-70 years. SMR declined over time in Denmark, Scotland and Spain, while remaining stable in the other three data sources. CONCLUSIONS/INTERPRETATION All-cause mortality in people with type 1 diabetes has declined in recent years in most included populations, but improvements in mortality relative to the non-diabetic population are less consistent.
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Affiliation(s)
- Paz L D Ruiz
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Lei Chen
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jedidiah I Morton
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Agus Salim
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Bendix Carstensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA
| | - Manel Mata-Cases
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain
| | - Didac Mauricio
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain
- Department of Endocrinology, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Gregory A Nichols
- Science Programs Department, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Santa Pildava
- Research and Health Statistics Department, Centre for Disease Prevention and Control, Riga, Latvia
| | | | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jonathan E Shaw
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- School of Life Sciences, La Trobe University, Melbourne, VIC, Australia
| | - Dianna J Magliano
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
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11
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Ma CX, Ma XN, Guan CH, Li YD, Mauricio D, Fu SB. Cardiovascular disease in type 2 diabetes mellitus: progress toward personalized management. Cardiovasc Diabetol 2022; 21:74. [PMID: 35568946 PMCID: PMC9107726 DOI: 10.1186/s12933-022-01516-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/28/2022] [Indexed: 01/10/2023] Open
Abstract
Cardiovascular diseases (CVDs) are the main cause of death among patients with type 2 diabetes mellitus (T2DM), particularly in low- and middle-income countries. To effectively prevent the development of CVDs in T2DM, considerable effort has been made to explore novel preventive approaches, individualized glycemic control and cardiovascular risk management (strict blood pressure and lipid control), together with recently developed glucose-lowering agents and lipid-lowering drugs. This review mainly addresses the important issues affecting the choice of antidiabetic agents and lipid, blood pressure and antiplatelet treatments considering the cardiovascular status of the patient. Finally, we also discuss the changes in therapy principles underlying CVDs in T2DM.
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Affiliation(s)
- Cheng-Xu Ma
- Department of Endocrinology, The First Hospital of Lanzhou University, No. 1 West Donggang Road, Lanzhou, Gansu, 730000, People's Republic of China.,The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Xiao-Ni Ma
- Department of Endocrinology, The First Hospital of Lanzhou University, No. 1 West Donggang Road, Lanzhou, Gansu, 730000, People's Republic of China.,The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Cong-Hui Guan
- Department of Endocrinology, The First Hospital of Lanzhou University, No. 1 West Donggang Road, Lanzhou, Gansu, 730000, People's Republic of China.,The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ying-Dong Li
- College of Integrated Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Dídac Mauricio
- Department of Endocrinology & Nutrition, CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, 08041, Barcelona, Spain.
| | - Song-Bo Fu
- Department of Endocrinology, The First Hospital of Lanzhou University, No. 1 West Donggang Road, Lanzhou, Gansu, 730000, People's Republic of China. .,The First Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China.
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12
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Morton JI, Lazzarini PA, Shaw JE, Magliano DJ. Trends in the Incidence of Hospitalization for Major Diabetes-Related Complications in People With Type 1 and Type 2 Diabetes in Australia, 2010-2019. Diabetes Care 2022; 45:789-797. [PMID: 35085387 DOI: 10.2337/dc21-2268] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/04/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine trends in the incidence of major diabetes-related complications in Australia. RESEARCH DESIGN AND METHODS This study included 70,885 people with type 1 and 1,089,270 people with type 2 diabetes registered on the Australian diabetes registry followed from July 2010 to June 2019. Outcomes (hospitalization for myocardial infarction [MI], stroke, heart failure [HF], lower-extremity amputation [LEA], hypoglycemia, and hyperglycemia) were obtained via linkage to hospital admissions databases. Trends over time in the age-adjusted incidence of hospitalizations were analyzed using joinpoint regression and summarized as annual percent changes (APCs). RESULTS In type 1 diabetes, the incidence of all complications remained stable, except for stroke, which increased from 2010-2011 to 2018-2019 (financial years; APC: +2.5% [95% CI 0.1, 4.8]), and hyperglycemia, which increased from 2010-2011 to 2016-2017 (APC: +2.7% [1.0, 4.5]). In type 2 diabetes, the incidence of stroke remained stable, while the incidence of MI decreased from 2012-2013 to 2018-2019 (APC: -1.7% [95% CI -2.8, -0.5]), as did the incidence of HF and hypoglycemia from 2010-2011 to 2018-2019 (APCs: -0.8% [-1.5, 0.0] and -5.3% [-6.7, -3.9], respectively); the incidence of LEA and hyperglycemia increased (APCs: +3.1% [1.9, 4.4], and +7.4% [5.9, 9.0]). Most trends were consistent by sex, but differed by age; in type 2 diabetes most improvements were confined to individuals aged ≥60 years. CONCLUSIONS Trends in admissions for diabetes-related complications were largely stable in type 1 diabetes. In type 2 diabetes, hospitalization rates for MI, HF, and hypoglycemia fell over time, while increasing for LEA and hyperglycemia.
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Affiliation(s)
- Jedidiah I Morton
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Peter A Lazzarini
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.,Australian Centre for Health Services Innovation & Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Australia.,Allied Health Research Collaborative, The Prince Charles Hospital, Brisbane, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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13
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Magliano DJ, Chen L, Carstensen B, Gregg EW, Pavkov ME, Salim A, Andes LJ, Balicer R, Baviera M, Chan JCN, Cheng YJ, Gardiner H, Gulseth HL, Gurevicius R, Ha KH, Jermendy G, Kim DJ, Kiss Z, Leventer-Roberts M, Lin CY, Luk AOY, Ma S, Mata-Cases M, Mauricio D, Nichols GA, Pildava S, Porath A, Read SH, Robitaille C, Roncaglioni MC, Lopez-Doriga Ruiz P, Wang KL, Wild SH, Yekutiel N, Shaw JE. Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data. Lancet Diabetes Endocrinol 2022; 10:112-119. [PMID: 35026157 DOI: 10.1016/s2213-8587(21)00327-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 11/26/2021] [Accepted: 11/26/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND Population-level trends in mortality among people with diabetes are inadequately described. We aimed to examine the magnitude and trends in excess all-cause mortality in people with diabetes. METHODS In this retrospective, multicountry analysis, we collected aggregate data from 19 data sources in 16 high-income countries or jurisdictions (in six data sources in Asia, eight in Europe, one from Australia, and four from North America) for the period from Jan 1, 1995, to Dec 31, 2016, (or a subset of this period) on all-cause mortality in people with diagnosed total or type 2 diabetes. We collected data from administrative sources, health insurance records, registries, and a health survey. We estimated excess mortality using the standardised mortality ratio (SMR). FINDINGS In our dataset, there were approximately 21 million deaths during 0·5 billion person-years of follow-up among people with diagnosed diabetes. 17 of 19 data sources showed decreases in the age-standardised and sex-standardised mortality in people with diabetes, among which the annual percentage change in mortality ranged from -0·5% (95% CI -0·7 to -0·3) in Hungary to -4·2% (-4·3 to -4·1) in Hong Kong. The largest decreases in mortality were observed in east and southeast Asia, with a change of -4·2% (95% CI -4·3 to -4·1) in Hong Kong, -4·0% (-4·8 to -3·2) in South Korea, -3·5% (-4·0 to -3·0) in Taiwan, and -3·6% (-4·2 to -2·9) in Singapore. The annual estimated change in SMR between people with and without diabetes ranged from -3·0% (95% CI -3·0 to -2·9; US Medicare) to 1·6% (1·4 to 1·7; Lombardy, Italy). Among the 17 data sources with decreasing mortality among people with diabetes, we found a significant SMR increase in five data sources, no significant SMR change in four data sources, and a significant SMR decrease in eight data sources. INTERPRETATION All-cause mortality in diabetes has decreased in most of the high-income countries we assessed. In eight of 19 data sources analysed, mortality decreased more rapidly in people with diabetes than in those without diabetes. Further longevity gains will require continued improvement in prevention and management of diabetes. FUNDING US Centers for Disease Control and Prevention, Diabetes Australia Research Program, and Victoria State Government Operational Infrastructure Support Program.
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Affiliation(s)
- Dianna J Magliano
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Lei Chen
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Bendix Carstensen
- Clinical Epidemiology, Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA
| | - Agus Salim
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Linda J Andes
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA
| | - Ran Balicer
- Clalit Research Institute, Clalit Health Services, Tel Aviv, Israel
| | - Marta Baviera
- Laboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Yiling J Cheng
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, USA
| | - Helene Gardiner
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada
| | - Hanne L Gulseth
- Department for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Romualdas Gurevicius
- Center of Health Information, Institute of Hygiene, Vilnius, Lithuania; Faculty of Public Governance and Business, Mykolas Romeris University, Vilnius, Lithuania
| | - Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea
| | - György Jermendy
- 3rd Medical Department, Bajcsy-Zsilinszky Hospital, Budapest, Hungary
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, South Korea
| | - Zoltán Kiss
- 2nd Department of Medicine and Nephrological Center, Medical Faculty, University of Pécs, Pécs, Hungary
| | - Maya Leventer-Roberts
- Clalit Research Institute, Clalit Health Services, Tel Aviv, Israel; Departments of Pediatrics and Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chun-Yi Lin
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Stefan Ma
- Epidemiology and Disease Control Division, Public Health Group, Ministry of Health, Singapore
| | - Manel Mata-Cases
- CIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III (ISCIII), Barcelona, Spain; Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain
| | - Didac Mauricio
- CIBER of Diabetes and Associated Metabolic Diseases, Instituto de Salud Carlos III (ISCIII), Barcelona, Spain; Institut Català de la Salut, Unitat de Suport a la Recerca Barcelona Ciutat, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain; Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain
| | - Gregory A Nichols
- Science Programs Department, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Santa Pildava
- Research and Health Statistics Department, Centre for Disease Prevention and Control, Riga, Latvia
| | - Avi Porath
- Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel; Faculty of Health, Ben Gurion University, Beer-Sheva, Israel
| | | | - Cynthia Robitaille
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada
| | - Maria Carla Roncaglioni
- Laboratory of Cardiovascular Prevention, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy
| | - Paz Lopez-Doriga Ruiz
- Department for Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Kang-Ling Wang
- General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Naama Yekutiel
- Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Jonathan E Shaw
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Life Sciences, Latrobe University, Melbourne, VIC, Australia
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14
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Ali MK, Pearson-Stuttard J, Selvin E, Gregg EW. Interpreting global trends in type 2 diabetes complications and mortality. Diabetologia 2022; 65:3-13. [PMID: 34837505 PMCID: PMC8660730 DOI: 10.1007/s00125-021-05585-2] [Citation(s) in RCA: 110] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/03/2021] [Indexed: 12/16/2022]
Abstract
International trends in traditional diabetes complications (cardiovascular, renal, peripheral vascular, ophthalmic, hepatic or neurological diseases) and mortality rates are poorly characterised. An earlier review of studies published up to 2015 demonstrated that most data come from a dozen high-income countries (HICs) in North America, Europe or the Asia-Pacific region and that, in these countries at least, rates of acute glycaemic fluctuations needing medical attention and amputations, myocardial infarction and mortality were all declining over the period. Here, we provide an updated review of published literature on trends in type 2 diabetes complications and mortality in adults since 2015. We also discuss issues related to data collection, analysis and reporting that have influenced global trends in type 2 diabetes and its complications. We found that most data on trends in type 2 diabetes, its complications and mortality come from a small number of HICs with comprehensive surveillance systems, though at least some low- and middle-income countries (LMICs) from Africa and Latin America are represented in this review. The published data suggest that HICs have experienced declines in cardiovascular complication rates and all-cause mortality in people with diabetes. In parallel, cardiovascular complications and mortality rates in people with diabetes have increased over time in LMICs. However, caution is warranted in interpreting trends from LMICs due to extremely sparse data or data that are not comparable across countries. We noted that approaches to case ascertainment and definitions of complications and mortality (numerators) and type 2 diabetes (the denominator) vary widely and influence the interpretation of international data. We offer four key recommendations to more rigorously document trends in rates of type 2 diabetes complications and mortality, over time and worldwide: (1) increasing investments in data collection systems; (2) standardising case definitions and approaches to ascertainment; (3) strengthening analytical capacity; and (4) developing and implementing structured guidelines for reporting of data.
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Affiliation(s)
- Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA.
| | - Jonathan Pearson-Stuttard
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- Health Analytics, Lane Clark & Peacock LLP, London, UK
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.
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15
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Tönnies T, Baumert J, Heidemann C, von der Lippe E, Brinks R, Hoyer A. Diabetes free life expectancy and years of life lost associated with type 2 diabetes: projected trends in Germany between 2015 and 2040. Popul Health Metr 2021; 19:38. [PMID: 34635124 PMCID: PMC8507142 DOI: 10.1186/s12963-021-00266-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/15/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) causes substantial disease burden and is projected to affect an increasing number of people in coming decades. This study provides projected estimates of life years free of type 2 diabetes (T2D) and years of life lost ([Formula: see text]) associated with T2D for Germany in the years 2015 and 2040. METHODS Based on an illness-death model and the associated mathematical relation between prevalence, incidence and mortality, we projected the prevalence of diagnosed T2D using currently available data on the incidence rate of diagnosed T2D and mortality rates of people with and without diagnosed T2D. Projection of prevalence was achieved by integration of a partial differential equation, which governs the illness-death model. These projected parameters were used as input values to calculate life years free of T2D and [Formula: see text] associated with T2D for the German population aged 40 to 100 years in the years 2015 and 2040, while accounting for different assumptions on future trends in T2D incidence and mortality. RESULTS Assuming a constant incidence rate, women and men at age 40 years in 2015 will live approximately 38 years and 33 years free of T2D, respectively. Up to the year 2040, these numbers are projected to increase by 1.0 years and 1.3 years. Assuming a decrease in T2D-associated excess mortality of 2% per year, women and men aged 40 years with T2D in 2015 will be expected to lose 1.6 and 2.7 years of life, respectively, compared to a same aged person without T2D. In 2040, these numbers would reduce by approximately 0.9 years and 1.6 years. This translates to 10.8 million and 6.4 million [Formula: see text] in the German population aged 40-100 years with prevalent T2D in 2015 and 2040, respectively. CONCLUSIONS Given expected trends in mortality and no increase in T2D incidence, the burden due to premature mortality associated with T2D will decrease on the individual as well as on the population level. In addition, the expected lifetime without T2D is likely to increase. However, these trends strongly depend on future improvements of excess mortality associated with T2D and future incidence of T2D, which should motivate increased efforts of primary and tertiary prevention.
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Affiliation(s)
- Thaddäus Tönnies
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
| | - Jens Baumert
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Elena von der Lippe
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Ralph Brinks
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
- Chair for Medical Biometry and Epidemiology, Faculty of Health/School of Medicine, Witten/Herdecke University, Witten, Germany
- Department of Statistics, Ludwig Maximilians University Munich, Munich, Germany
| | - Annika Hoyer
- Department of Statistics, Ludwig Maximilians University Munich, Munich, Germany
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Harding JL, Benoit SR, Hora I, Sridharan L, Ali MK, Jagannathan R, Patzer RE, Narayan KMV. Trends in inpatient admissions and emergency department visits for heart failure in adults with versus without diabetes in the USA, 2006-2017. BMJ Open Diabetes Res Care 2021; 9:9/1/e002377. [PMID: 34686496 PMCID: PMC8543632 DOI: 10.1136/bmjdrc-2021-002377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/22/2021] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Heart failure (HF) is a major contributor to cardiovascular morbidity and mortality in people with diabetes. In this study, we estimated trends in the incidence of HF inpatient admissions and emergency department (ED) visits by diabetes status. RESEARCH DESIGN AND METHODS Population-based age-standardized HF rates in adults with and without diabetes were estimated from the 2006-2017 National Inpatient Sample, Nationwide ED Sample and year-matched National Health Interview Survey, and stratified by age and sex. Trends were assessed using Joinpoint. RESULTS HF inpatient admissions did not change in adults with diabetes between 2006 and 2013 (from 53.9 to 50.4 per 1000 persons; annual percent change (APC): -0.3 (95% CI -2.5 to 1.9) but increased from 50.4 to 62.3 between 2013 and 2017 (APC: 4.8 (95% CI 0.3 to 9.6)). In adults without diabetes, inpatient admissions initially declined (from 14.8 in 2006 to 12.9 in 2014; APC -2.3 (95% CI -3.2 to -1.2)) and then plateaued. Patterns were similar in men and women, but relative increases were greatest in young adults with diabetes. HF-related ED visits increased overall, in men and women, and in all age groups, but increases were greater in adults with (vs without) diabetes. CONCLUSIONS Causes of increased HF rates in hospital settings are unknown, and more detailed data are needed to investigate the aetiology and determine prevention strategies, particularly among adults with diabetes and especially young adults with diabetes.
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Affiliation(s)
- Jessica L Harding
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Stephen R Benoit
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Israel Hora
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lakshmi Sridharan
- Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Mohammed K Ali
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Global Diabetes Research Center, Rollins School of Public Health Emory University, Atlanta, Georgia, USA
- Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ram Jagannathan
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Rachel E Patzer
- Department of Surgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - K M Venkat Narayan
- Global Diabetes Research Center, Rollins School of Public Health Emory University, Atlanta, Georgia, USA
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