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Zhang H, Jia Q, Song P, Li Y, Jiang L, Fu X, Li S. Incidence, prevalence, and burden of type 2 diabetes in China: Trend and projection from 1990 to 2050. Chin Med J (Engl) 2025:00029330-990000000-01547. [PMID: 40375461 DOI: 10.1097/cm9.0000000000003536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Indexed: 05/18/2025] Open
Abstract
BACKGROUND Type 2 diabetes is common in China without comprehensive summary and future anticipation of its incidence, prevalence, associated death, and disability. This analysis described the epidemiological transition of type 2 diabetes in the past three decades and projected the trend in the future three decades in China. METHODS Age-, sex-, and year-specific incidence, prevalence, death, and disability-adjusted life years (DALYs) for people with 15 years or older and diabetes or high fasting glucose in China and related countries from 1990 to 2021 were obtained from the Global Burden of Disease. We obtained the trends of age-, sex-, and year-specific rates and absolute numbers of incidence, prevalence, deaths, and DALYs attributable to type 2 diabetes in China from 1990 to 2021. Using the Lee-Carter model, we projected the incidence, prevalence, deaths, and DALYs attributable to type 2 diabetes to 2050 stratified by age and sex. RESULTS The age-standardized incidence of type 2 diabetes was 341.5 per 100,000 persons (1.6 times in 1990) and the age-standardized prevalence was 9960.0 per 100,000 persons (2.5 times in 1990) in China 2021. In 2021, there were 0.9 million deaths and 26.8 million DALYs due to type 2 diabetes or hyperglycemia, as 2.9 and 2.7 times the data in 1990, respectively. In the projection, the age-standardized incidence (449.5 per 100,000 persons in 2050) will continue to increase but the growing rate will slow down in the future decades. With the population aging, there will be estimated 211.2 million Chinese people with type 2 diabetes with an anticipated age-standardized prevalence of 18,171.2 per 100,000 persons, 244.6 per 100,000 deaths, and 4720.2 per 100,000 DALYs in 2050. The incidence of type 2 diabetes kept growing among adolescents and young adults in the past three decades (128.7, 439.9, and estimated 1870.8 per 100,000 persons in 1990, 2021, and 2050, respectively). CONCLUSIONS The incidence, prevalence, and disease burden of type 2 diabetes grew rapidly in China in the past three decades. The greatest challenges in the future three decades will be the prevention of type 2 diabetes in young people and the care for elder adults.
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Affiliation(s)
- Haojie Zhang
- Department of Endocrinology and Metabolism, MAGIC China Centre, Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qingyi Jia
- Institute of Metabolic Diseases and Pharmacotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yongze Li
- Department of Endocrinology and Metabolism and the Institute of Endocrinology, NHC Key Laboratory of Diagnosis and Treatment of Thyroid Diseases, First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Lihua Jiang
- Teaching & Research Section of General Practice, The General Practice Medical Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Department of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xianghui Fu
- Division of Endocrinology and Metabolism, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, Sichuan 610041, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, MAGIC China Centre, Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Bowen L, Carey IM, Chaudhry UAR, DeWilde S, Audi S, Limb ES, Cook DG, Panahloo A, Whincup PH, Sattar N, Harris T, Critchley JA. HbA1c variability and all-cause mortality in type 1 and type 2 diabetes: A population-based cohort study using electronic health records. Diabetes Res Clin Pract 2025; 225:112229. [PMID: 40339702 DOI: 10.1016/j.diabres.2025.112229] [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: 02/03/2025] [Revised: 04/17/2025] [Accepted: 05/03/2025] [Indexed: 05/10/2025]
Abstract
AIMS To investigate associations between HbA1c variability and all-cause mortality in individuals with diabetes, accounting for average HbA1c level. METHODS Mean HbA1c and variability score (HVS) were estimated for people aged 31-90 with diabetes (type 1 = 20,347, type 2 = 409,821) with 4 + HbA1c measurements recorded in the Clinical Practice Research Datalink in 2011-14 and alive on 1/1/2015. Cox models estimated hazard ratios (HR) for all-cause mortality, ascertained from national linked mortality data during 2015-17. HbA1c level and variability were mutually adjusted for each other and other measured confounders. RESULTS Greater HbA1c variability was associated with younger age, non-white ethnicities (type 1 only), obesity, co-morbidities, and living in deprived areas. During follow-up, 1,043 (5.1 %) individuals with type 1 diabetes and 40,723 (9.9 %) individuals with type 2 diabetes died. In those with the most HbA1c variability compared to the least (HVS = 80-100 vs 0-20), the estimated adjusted HRs for mortality were 2.78 (95 %CI 2.15, 3.60) in type 1 diabetes and 1.91 (1.83, 1.99) in type 2 diabetes. CONCLUSIONS Variability in HbA1c was associated with greater subsequent mortality among people living with diabetes, independent from average HbA1c. Future research should investigate whether reducing HbA1c variability over time in selected patients lowers mortality risk independent of HbA1c level improvements.
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Affiliation(s)
- Liza Bowen
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom.
| | - Iain M Carey
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Umar A R Chaudhry
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Stephen DeWilde
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Selma Audi
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Elizabeth S Limb
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Derek G Cook
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Arshia Panahloo
- St George's University Hospitals NHS Foundation Trust, Blackshaw Road, Tooting, London SW17 0QT, United Kingdom
| | - Peter H Whincup
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow G12 8TA, United Kingdom
| | - Tess Harris
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
| | - Julia A Critchley
- School of Health & Medical Sciences, City St George's, University of London, London SW17 0RE, United Kingdom
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Chen X, Xie N, Feng L, Huang Y, Wu Y, Zhu H, Tang J, Zhang Y. Oxidative stress in diabetes mellitus and its complications: From pathophysiology to therapeutic strategies. Chin Med J (Engl) 2025; 138:15-27. [PMID: 39503316 PMCID: PMC11717531 DOI: 10.1097/cm9.0000000000003230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Indexed: 01/11/2025] Open
Abstract
ABSTRACT Oxidative stress due to aberrant metabolism is considered as a crucial contributor to diabetes and its complications. Hyperglycemia and hyperlipemia boost excessive reactive oxygen species generation by elevated mitochondrial respiration, increased nicotinamide adenine dinucleotide phosphate oxidase activity, and enhanced pro-oxidative processes, including protein kinase C pathways, hexosamine, polyol, and advanced glycation endproducts, which exacerbate oxidative stress. Oxidative stress plays a significant role in the onset of diabetes and its associated complications by impairing insulin production, increasing insulin resistance, maintaining hyperglycemic memory, and inducing systemic inflammation. A more profound comprehension of the molecular processes that link oxidative stress to diabetes is crucial to new preventive and therapeutic strategies. Therefore, this review discusses the mechanisms underlying how oxidative stress contributes to diabetes mellitus and its complications. We also summarize the current approaches for prevention and treatment by targeting the oxidative stress pathways in diabetes.
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Affiliation(s)
- Xingyu Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Na Xie
- Sichuan International Science and Technology Center for Stress Medicine, West China School of Basic Medical Sciences and Forensic Medicine and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan 610041, China
| | - Lixiang Feng
- Sichuan International Science and Technology Center for Stress Medicine, West China School of Basic Medical Sciences and Forensic Medicine and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yujing Huang
- Sichuan International Science and Technology Center for Stress Medicine, West China School of Basic Medical Sciences and Forensic Medicine and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuyao Wu
- Faculty of Medicine, Macau University of Science and Technology, Avenida Wai Long, Macao 999078, China
| | - Huili Zhu
- Department of Reproductive Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Jing Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yuanyuan Zhang
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, Sichuan 610041, China
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Wu NW, Lyu XF, An ZM, Li SY. Adiposity in Chinese people with type 1 diabetes. World J Diabetes 2024; 15:1404-1408. [PMID: 39099808 PMCID: PMC11292343 DOI: 10.4239/wjd.v15.i7.1404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/30/2024] [Accepted: 05/17/2024] [Indexed: 07/08/2024] Open
Abstract
Adiposity, synonymous with obesity, is prevalent among both children and adults with type 1 diabetes in China. Recent literature underscored the patho-physiological and socioeconomic factors associated with adiposity, and consistently highlighted its impact on cardiovascular, kidney, and metabolic diseases among Chinese individuals with type 1 diabetes. Addressing and managing adiposity in individuals with type 1 diabetes are complicated and entail comprehensive approaches including lifestyle modifications, cognitive-behavioral therapy, insulin dose titration, and other diabetes treatment medications. The condition calls for coordination among policymakers, researchers, clinicians, and patients.
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Affiliation(s)
- Nian-Wei Wu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Xia-Fei Lyu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Zhen-Mei An
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - She-Yu Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
- Department of Guideline and Rapid Recommendation, Chinese Evidence-based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
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Jia Y, Long D, Yang Y, Wang Q, Wu Q, Zhang Q. Diabetic peripheral neuropathy and glycemic variability assessed by continuous glucose monitoring: A systematic review and meta-analysis. Diabetes Res Clin Pract 2024; 213:111757. [PMID: 38944250 DOI: 10.1016/j.diabres.2024.111757] [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: 05/22/2024] [Revised: 06/15/2024] [Accepted: 06/21/2024] [Indexed: 07/01/2024]
Abstract
Continuous glucose monitoring (CGM)-derived metrics have been used to accurately assess glycemic variability (GV) to facilitate management of diabetes mellitus, yet their relationship with diabetic peripheral neuropathy (DPN) is not fully understood. We performed a systematic review and meta-analysis to evaluate the association between GV metrics and the risk of developing DPN. Nine studies totaling 3,649 patients with type 1 and type 2 diabetes mellitus were included. A significant association was found between increased GV, as indicated by metrics including standard deviation (SD) with OR and 95% CI of 2.58 (1.45-4.57), mean amplitude of glycemic excursions (MAGE) with OR and 95% CI of 1.90 (1.01-3.58), mean of daily difference (MODD) with OR and 95% CI of 2.88 (2.17-3.81) and the incidence of DPN. Our findings support a link between higher GV and an increased risk of DPN in patients with diabetes. These findings highlight the potential of GV metrics as indicators for the development of DPN, advocating for their inclusion in diabetes management strategies to potentially mitigate neuropathy risk. Longitudinal studies with longer observation periods and larger sample sizes are necessary to validate these associations across diverse populations.
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Affiliation(s)
- Yifan Jia
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Dan Long
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yunshuang Yang
- Department of Preventive Medicine, Beijing Longfu Hospital, Beijing 100010, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qunli Wu
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
| | - Qian Zhang
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
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Ashkbari A, Nikbakht HA, Amirkhanlou S, Elahi G, Salahi M, Ebrahimi S, Golfiroozi S, Hosseini SA, Ghelichi-Ghojogh M. Impact of Ramadan fasting on lipid profile, uric acid, and HbA1c in CKD: A systematic review and meta-analysis. Prim Care Diabetes 2024; 18:277-283. [PMID: 38616441 DOI: 10.1016/j.pcd.2024.03.007] [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: 12/05/2023] [Revised: 03/21/2024] [Accepted: 03/29/2024] [Indexed: 04/16/2024]
Abstract
Studies have shown that fasting during Ramadan has different effects on circulating levels of several biochemical markers. This study aims to conduct a comprehensive evaluation of studies related to the effect of fasting in the holy month of Ramadan on lipid profile, uric acid, and HbA1c in CKD patients. Studies were systematically searched and collected from three databases (PubMed, Scopus, and Web of Science). After screening, the quality and risk of bias assessment of the selected articles were evaluated. Study heterogeneity was assessed using the Cochrane test and I² statistic. In case of any heterogeneity random effects model with the inverse-variance method was applied. All analyses were performed using STATA software version 16. Four observational studies were included in this study. The results of this meta-analysis were that cholesterol (Weighted mean differences (WMD):0.21 with 95% CI:-0.09-0.51 (P-value=:0.18)), LDL (WMD:0.06 with 95% CI -0.24-0.36 (P-value:0.69)), triglyceride (WMD:0.05 with 95% CI:-0.25-0.35 (P-value:0.73)) had not-significant increase. Uric acid (WMD: -0.11 with 95% CI: -0.42-0.21 (P-value:0.51)) and HbA1c (WMD: -0.22 with 95% CI: -0.79-0.36 (P-value: 0.46)) show a non-significant decrease. The results of the analyses did not report significant changes in the lipid profile, uric acid, and HbA1c in CKD patients after Ramadan fasting.
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Affiliation(s)
- Ali Ashkbari
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Hossein-Ali Nikbakht
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Saeid Amirkhanlou
- Department of Internal Medicine, Clinical Research Development Unit (CRDU), Shahid Sayad Shirazi Hospital, Golestan University of Medical Sciences, Gorgan, Iran
| | - Ghazaleh Elahi
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Marjan Salahi
- Department of Microbiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Sareh Ebrahimi
- Counseling and Reproductive Health Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| | - Saeed Golfiroozi
- Department of Emergency Medicine, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Seyed Ahmad Hosseini
- Neonatal and Children's Research Center, Department of Biostatistics and Epidemiology, School of Health, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran
| | - Mousa Ghelichi-Ghojogh
- Neonatal and Children's Research Center, Department of Biostatistics and Epidemiology, School of Health, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran.
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Nascimento ALA, Guimarães AS, Rocha TDS, Goulart MOF, Xavier JDA, Santos JCC. Structural changes in hemoglobin and glycation. VITAMINS AND HORMONES 2024; 125:183-229. [PMID: 38997164 DOI: 10.1016/bs.vh.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
Hemoglobin (Hb) is a hemeprotein found inside erythrocytes and is crucial in transporting oxygen and carbon dioxide in our bodies. In erythrocytes (Ery), the main energy source is glucose metabolized through glycolysis. However, a fraction of Hb can undergo glycation, in which a free amine group from the protein spontaneously binds to the carbonyl of glucose in the bloodstream, resulting in the formation of glycated hemoglobin (HbA1c), widely used as a marker for diabetes. Glycation leads to structural and conformational changes, compromising the function of proteins, and is intensified in the event of hyperglycemia. The main changes in Hb include structural alterations to the heme group, compromising its main function (oxygen transport). In addition, amyloid aggregates can form, which are strongly related to diabetic complications and neurodegenerative diseases. Therefore, this chapter discusses in vitro protocols for producing glycated Hb, as well as the main techniques and biophysical assays used to assess changes in the protein's structure before and after the glycation process. This more complete understanding of the effects of glycation on Hb is fundamental for understanding the complications associated with hyperglycemia and for developing more effective prevention and treatment strategies.
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Affiliation(s)
- Amanda Luise Alves Nascimento
- Federal University of Alagoas, Institute of Chemistry and Biotechnology, Campus A. C. Simões, Maceió, Alagoas, Brazil
| | - Ari Souza Guimarães
- Federal University of Alagoas, Institute of Chemistry and Biotechnology, Campus A. C. Simões, Maceió, Alagoas, Brazil
| | - Tauane Dos Santos Rocha
- Federal University of Alagoas, Institute of Chemistry and Biotechnology, Campus A. C. Simões, Maceió, Alagoas, Brazil
| | | | - Jadriane de Almeida Xavier
- Federal University of Alagoas, Institute of Chemistry and Biotechnology, Campus A. C. Simões, Maceió, Alagoas, Brazil.
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Song Y, Zhang H, Sun J, Long Y, Zhang K, Yin Q, Duan X. Glycemic Variability and the Risk of Diabetic Peripheral Neuropathy: A Meta-Analysis. Horm Metab Res 2024; 56:358-367. [PMID: 37820699 DOI: 10.1055/a-2165-3579] [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] [Indexed: 10/13/2023]
Abstract
Glycemic variability (GV) has been related to complications in patients with diabetes. The aim of the systematic review and meta-analysis was to investigate whether GV is also associated with the incidence of diabetic peripheral neuropathy (DPN). A systematic search of Medline, Web of Science, Embase, and Cochrane Library database was conducted to identify relevant observational studies with longitudinal follow-up. The Newcastle-Ottawa Scale was used for study quality evaluation. A random-effects model was utilized to pool the results, accounting for heterogeneity. Ten observational studies including 72 565 patients with diabetes were included. The quality score was 8-9, indicating generally good quality of the included studies. With a mean follow-up duration of 7.1 years, 11 532 patients (15.9%) were diagnosed as DPN. Compared to patients with low GV, patients with high GV were associated with an increased risk incidence of DPN (risk ratio: 1.51, 95% confidence interval: 1.23 to 1.85, p<0.001; I2=78%). In addition, subgroup analysis showed consistent results in patients with type 1 and type 2 diabetes, and in studies evaluating the short-term and long-term GV (p for subgroup difference=0.82 and 0.53). Finally, results of subgroup analysis also suggested that the association between GV and risk of DPN were not significantly affected by study design, follow-up durations, diagnostic methods for DPN, adjustment of mean glycated hemoglobin A1c, or study quality scores (p for subgroup difference all>0.05). A high GV may be associated with an increased incidence of DPN.
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Affiliation(s)
- Ying Song
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Haiyan Zhang
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Ju Sun
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Ying Long
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Kaixiang Zhang
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Qian Yin
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
| | - Xiaorong Duan
- Department of Endocrinology and Metabolism, Xichang People's Hospital, Xichang, China
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Carey IM, Critchley JA, A R Chaudhry U, Cook DG, DeWilde S, Limb ES, Bowen L, Woolford S, Whincup PH, Sattar N, Panahloo A, Harris T. Effects of long-term HbA1c variability on serious infection risks in patients with type 2 diabetes and the influence of age, sex and ethnicity: A cohort study of primary care data. Diabetes Res Clin Pract 2024; 211:111641. [PMID: 38548108 DOI: 10.1016/j.diabres.2024.111641] [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: 02/16/2024] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/13/2024]
Abstract
AIMS Long-term HbA1c (glycated haemoglobin) variability is associated with micro- and macrovascular complications in Type 2 diabetes (T2D). We explored prospective associations between HbA1c variability and serious infections, and how these vary by HbA1c level, age, sex and ethnicity. METHODS 411,963 T2D patients in England, aged 18-90, alive on 01/01/2015 in the Clinical Practice Research Datalink with ≥ 4 HbA1c measurements during 2011-14. Poisson regression estimated incidence rate ratios (IRRs) for infections requiring hospitalisation during 2015-19 by HbA1c variability score (HVS) and average level, adjusting for confounders, and stratified by age, sex, ethnicity and average level. Attributable risk fractions (AF) were calculated using reference categories for variability (HVS < 20) and average level (42-48 mmol/mol). RESULTS An increased infection risk (IRR > 1.2) was seen with even modest variability (HVS ≥ 20, 73 % of T2D patients), but only at higher average levels (≥64 mmol/mol, 27 % patients). Estimated AFs were markedly greater for variability than average level (17.1 % vs. 4.1 %). Associations with variability were greater among older patients, and those with lower HbA1c levels, but not observed among Black ethnicities. CONCLUSIONS HbA1c variability between T2D patients' primary care visits appears to be associated with more serious infections than average level overall. Well-designed trials could test whether these associations are causal.
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Affiliation(s)
- Iain M Carey
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom.
| | - Julia A Critchley
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Umar A R Chaudhry
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Derek G Cook
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Stephen DeWilde
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Elizabeth S Limb
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Liza Bowen
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Stephen Woolford
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA
| | - Arshia Panahloo
- St George's University Hospitals NHS Foundation Trust, Blackshaw Road, Tooting, London, SW17 0QT, United Kingdom
| | - Tess Harris
- Population Health Research Institute, St George's, University of London, London SW17 0RE, United Kingdom
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Ding L, Zhang H, Dai C, Zhang A, Yu F, Mi L, Qi Y, Tang M. The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005-2018. Cardiovasc Diabetol 2024; 23:84. [PMID: 38419029 PMCID: PMC10902955 DOI: 10.1186/s12933-024-02172-8] [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: 01/08/2024] [Accepted: 02/17/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND The Stress hyperglycemia ratio (SHR) is a novel marker reflecting the true acute hyperglycemia status and is associated with clinical adverse events. The relationship between SHR and mortality in patients with diabetes or prediabetes is still unclear. This study aimed to investigate the predictive value of the SHR for all-cause and cardiovascular mortality in patients with diabetes or prediabetes. METHODS This study included 11,160 patients diagnosed with diabetes or prediabetes from the National Health and Nutrition Examination Survey (2005-2018). The study endpoints were all-cause and cardiovascular mortality, and morality data were extracted from the National Death Index (NDI) up to December 31, 2019. Patients were divided into SHR quartiles. Cox proportion hazards regression was applied to determine the prognostic value of SHR. Model 1 was not adjusted for any covariates. Model 2 was adjusted for age, sex, and race. Model 3 was adjusted for age, sex, race, BMI, smoking status, alcohol use, hypertension, CHD, CKD, anemia, and TG. RESULTS During a mean follow-up of 84.9 months, a total of 1538 all-cause deaths and 410 cardiovascular deaths were recorded. Kaplan-Meier survival analysis showed the lowest all-cause mortality incidence was in quartile 3 (P < 0.001). Multivariate Cox regression analyses indicated that, compared to the 1st quartile, the 4th quartile was associated with higher all-cause mortality (model 1: HR = 0.89, 95% CI 0.74-10.7, P = 0.226; model 2: HR = 1.24, 95% CI 1.03-1.49, P = 0.026; model 3: HR = 1.30, 95% CI 1.08-1.57, P = 0.006). The 3rd quartile was associated with lower cardiovascular mortality than quartile 1 (model 1: HR = 0.47, 95% CI 0.32-0.69, P < 0.001; model 2: HR = 0.66, 95% CI 0.45-0.96, P = 0.032; model 3: HR = 0.68, 95% CI 0.46-0.99, P = 0.049). There was a U-shaped association between SHR and all-cause mortality and an L-shaped association between SHR and cardiovascular mortality, with inflection points of SHR for poor prognosis of 0.87 and 0.93, respectively. CONCLUSION SHR is related to all-cause and cardiovascular mortality in patients with diabetes or prediabetes. SHR may have predictive value in those patients.
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Affiliation(s)
- Lei Ding
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Hongda Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Cong Dai
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, 100191, China
| | - Aikai Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Fengyuan Yu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Lijie Mi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Yingjie Qi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Min Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
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11
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Huret P, Lopes P, Dardari R, Penfornis A, Thomas C, Dardari D. Rapid correction of hyperglycemia: A necessity but at what price? A brief report of a patient living with type 1 diabetes. World J Diabetes 2023; 14:1710-1716. [DOI: 10.4239/wjd.v14.i11.1710] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/31/2023] [Accepted: 10/16/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND The correction and control of chronic hyperglycemia are the management goals of patients living with diabetes. Chronic hyperglycemia is the main factor inducing diabetes-related complications. However, in certain situations, the rapid and intense correction of chronic hyperglycemia can paradoxically favor the onset of microvascular complications.
CASE SUMMARY In this case report, we describe the case of a 25-year-old woman living with type 1 diabetes since the age of 9 years. Her diabetes was chronic and unstable but without complications. During an unplanned pregnancy, her diabetes was intensely managed with the rapid correction of her hyperglycemia. However, over the following 2 years, she developed numerous degenerative microvascular complications: Charcot neuroarthropathy with multiple joint involvement, severe proliferative diabetic retinopathy, gastroparesis, bladder voiding disorders, and end-stage renal failure requiring hemodialysis.
CONCLUSION In the literature to date, the occurrence of multiple microvascular complications following the rapid correction of chronic hyperglycemia has been rarely described in the same individual.
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Affiliation(s)
- Priscille Huret
- LBEPS, University Evry, IRBA, Université Paris Saclay, Evry 91000, France
| | - Philippe Lopes
- LBEPS, University Evry, IRBA, Université Paris Saclay, Evry 91000, France
| | | | - Alfred Penfornis
- Diabetology, Centre Hospitalier Sud Francilien, Corbeil Essonne 91100, France
| | - Claire Thomas
- LBEPS, University Evry, IRBA, Université Paris Saclay, Evry 91000, France
| | - Dured Dardari
- LBEPS, University Evry, IRBA, Université Paris Saclay, Evry 91000, France
- Diabetology, Centre Hospitalier Sud Francilien, Corbeil Essonne 91100, France
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12
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Du J, Zhao X, Xu X, Zhang Z, Zhang X. Association Between Thyroid Parameters and Subclinical Atherosclerosis in Hospitalised Euthyroid Patients with Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2023; 16:3163-3171. [PMID: 37849978 PMCID: PMC10578159 DOI: 10.2147/dmso.s429941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/04/2023] [Indexed: 10/19/2023] Open
Abstract
Purpose To explore the association between thyroid parameters and subclinical atherosclerosis (AS) in hospitalised euthyroid patients with type 2 diabetes mellitus (T2DM). Patients and Methods A retrospective analysis was conducted involving 1245 inpatients with T2DM. Free triiodothyronine (FT3), free thyroxine (FT4), and thyroid stimulating hormone (TSH) levels were measured, and carotid artery ultrasonography was performed. Thyroid hormone (TH) sensitivity was evaluated using thyroid feedback quantile-based index (TFQI), TSH index (TSHI), thyrotropin thyroxine resistance index (TT4RI), and free triiodothyronine/free thyroxine ratio (FT3/FT4). Results In inpatients with T2DM having normal thyroid function, the incidence of subclinical AS declined with increasing levels of FT3, FT4, and FT3/FT4 (P trend < 0.05). Logistic regression analysis revealed that FT4 (OR, 0.914; 95% CI, 0.845-0.989), FT3 (OR, 0.374; 95% CI, 0.277-0.504), and FT3/FT4 (OR, 0.036; 95% CI, 0.013-0.061) were independently associated with subclinical AS (P < 0.05). However, TSH, TFQI, TSHI, and TT4RI levels were not associated with subclinical AS (P > 0.05). FT3/FT4 demonstrated superior predictive accuracy for subclinical AS than that of FT3 or FT4 alone (P < 0.001), with a cutoff point of 0.25. Conclusion In euthyroid inpatients with T2DM, subclinical AS exhibited negative correlation with FT3, FT4, and FT3/FT4 levels, independent of other risk factors for AS. Additionally, FT3/FT4 ratio had a good predictive value for subclinical AS.
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Affiliation(s)
- Jing Du
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
| | - Xin Zhao
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
| | - Xiumei Xu
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
| | - Zhichao Zhang
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
| | - Xiaomei Zhang
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
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13
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Zhou Q, Yang J, Wang W, Shao C, Hua X, Tang YD. The impact of the stress hyperglycemia ratio on mortality and rehospitalization rate in patients with acute decompensated heart failure and diabetes. Cardiovasc Diabetol 2023; 22:189. [PMID: 37495967 PMCID: PMC10373236 DOI: 10.1186/s12933-023-01908-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/30/2023] [Indexed: 07/28/2023] Open
Abstract
BACKGROUND The relationship between stress hyperglycemia and long-term prognosis in acute decompensated heart failure (ADHF) patients is unknown. This study investigated the associations of stress hyperglycemia with mortality and rehospitalization rates among ADHF patients with diabetes. METHODS We consecutively enrolled 1904 ADHF patients. Among them, 780 were with diabetes. Stress hyperglycemia was estimated using the stress hyperglycemia ratio (SHR), which was calculated by the following formula: SHR = admission blood glucose/[(28.7 × HbA1c%) - 46.7]. All diabetic ADHF subjects were divided into quintiles according to the SHR. The primary endpoint was all-cause death at the 3-year follow-up. The secondary endpoints were cardiovascular (CV) death and heart failure (HF) rehospitalization at the 3-year follow-up. A Cox proportional hazards model and restricted cubic spline analysis were used to elucidate the relationship between the SHR and the endpoints in diabetic ADHF patients. Further analyses were performed to examine the relationships between SHR and the outcomes in heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF). RESULTS A total of 169 all-cause deaths were recorded during a median follow-up of 3.24 years. Restricted cubic spline analysis suggested a U-shaped association between the SHR and the mortality and rehospitalization rates. Kaplan-Meier survival analysis showed the lowest mortality in the 2nd quintile (P = 0.0028). Patients categorized in the highest range (5th quintile) of SHR, compared to those in the 2nd quintile, exhibited the greatest susceptibility to all-cause death (with a hazard ratio [HR] of 2.76 and a 95% confidence interval [CI] of 1.63-4.68), CV death (HR 2.81 [95% CI 1.66-4.75]) and the highest rate of HF rehospitalization (HR 1.54 [95% CI 1.03-2.32]). Similarly, patients in the lowest range (1st quintile) of SHR also exhibited significantly increased risks of all-cause death (HR 2.33, 95% CI 1.35-4.02) and CV death (HR 2.32, 95% CI 1.35-4.00). Further analyses indicated that the U-shape association between the SHR and mortality remained significant in both HFpEF and HFrEF patients. CONCLUSION Both elevated and reduced SHRs indicate an unfavorable long-term prognosis in patients with ADHF and diabetes.
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Affiliation(s)
- Qing Zhou
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Jie Yang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Wenyao Wang
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Chunli Shao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Xinwei Hua
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China.
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China.
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China.
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China.
| | - Yi-Da Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, No. 49 Huayuanbei Road, Beijing, 100191, China.
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, 100191, China.
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University, Beijing, 100191, China.
- Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China.
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14
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Chen J, Yin D, Dou K. Intensified glycemic control by HbA1c for patients with coronary heart disease and Type 2 diabetes: a review of findings and conclusions. Cardiovasc Diabetol 2023; 22:146. [PMID: 37349787 PMCID: PMC10288803 DOI: 10.1186/s12933-023-01875-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/02/2023] [Indexed: 06/24/2023] Open
Abstract
The occurrence and development of coronary heart disease (CHD) are closely linked to fluctuations in blood glucose levels. While the efficacy of intensified treatment guided by HbA1c levels remains uncertain for individuals with diabetes and CHD, this review summarizes the findings and conclusions regarding HbA1c in the context of CHD. Our review showed a curvilinear correlation between regulated level of HbA1c and therapeutic effectiveness of intensified glycemic control among patients with type 2 diabetes and coronary heart disease. It is necessary to optimize the dynamic monitoring indicators of HbA1c, combine genetic profiles, haptoglobin phenotypes for example and select more suitable hypoglycemic drugs to establish more appropriate glucose-controlling guideline for patients with CHD at different stage of diabetes.
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Affiliation(s)
- Jingyang Chen
- Cardiometabolic Medicine Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
| | - Dong Yin
- Cardiometabolic Medicine Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
| | - Kefei Dou
- Cardiometabolic Medicine Center, Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037 China
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15
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Almigbal TH, Alzarah SA, Aljanoubi FA, Alhafez NA, Aldawsari MR, Alghadeer ZY, Alrasheed AA. Clinical Inertia in the Management of Type 2 Diabetes Mellitus: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:182. [PMID: 36676805 PMCID: PMC9866102 DOI: 10.3390/medicina59010182] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/18/2023]
Abstract
This review seeks to establish, through the recent available literature, the prevalence of therapeutic intensification delay and its sequences in poorly controlled Type 2 Diabetes Mellitus (T2DM) patients. The strategy identified studies exploring the clinical inertia and its associated factors in the treatment of patients with T2DM. A total of 25 studies meeting the pre-established quality criteria were included in this review. These studies were conducted between 2004 and 2021 and represented 575,067 patients diagnosed with T2DM. Trusted electronic bibliographic databases, including Medline, Embase, and the Cochrane Central Register of Controlled Trials, were used to collect studies by utilizing a comprehensive set of search terms to identify Medical Subject Headings (MeSH) terms. Most o the studies included in this review showed clinical inertia rates over 50% of T2DM patients. In the USA, clinical inertia ranged from 35.4% to 85.8%. In the UK, clinical inertia ranged from 22.1% to 69.1%. In Spain, clinical inertia ranged from 18.1% to 60%. In Canada, Brazil, and Thailand, clinical inertia was reported as 65.8%, 68%, and 68.4%, respectively. The highest clinical inertia was reported in the USA (85.8%). A significant number of patients with T2DM suffered from poor glycemic control for quite a long time before treatment intensification with oral antidiabetic drugs (OADs) or insulin. Barriers to treatment intensification exist at the provider, patient, and system levels. There are deficiencies pointed out by this review at specialized centers in terms of clinical inertia in the management of T2DM including in developed countries. This review shows that the earlier intensification in the T2DM treatment is appropriate to address issues around therapeutic inertia.
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Affiliation(s)
- Turky H. Almigbal
- Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh 12372, Saudi Arabia
- Department of Family Medicine, King Saud University Medical City, King Saud University, Riyadh 12372, Saudi Arabia
| | - Sarah A. Alzarah
- Vision College of Medicine, Vision Colleges, Riyadh 13226, Saudi Arabia
| | | | | | | | | | - Abdullah A. Alrasheed
- Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh 12372, Saudi Arabia
- Department of Family Medicine, King Saud University Medical City, King Saud University, Riyadh 12372, Saudi Arabia
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16
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Zhou Y, Liu L, Huang H, Li N, He J, Yao H, Tang X, Chen X, Zhang S, Shi Q, Qu F, Wang S, Wang M, Shu C, Zeng Y, Tian H, Zhu Y, Su B, Li S. 'Stress hyperglycemia ratio and in-hospital prognosis in non-surgical patients with heart failure and type 2 diabetes. Cardiovasc Diabetol 2022; 21:290. [PMID: 36572923 PMCID: PMC9791974 DOI: 10.1186/s12933-022-01728-w] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/15/2022] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To evaluate the impact of stress hyperglycemia on the in-hospital prognosis in non-surgical patients with heart failure and type 2 diabetes. RESEARCH DESIGN AND METHODS We identified non-surgical hospitalized patients with heart failure and type 2 diabetes from a large electronic medical record-based database of diabetes in China (WECODe) from 2011 to 2019. We estimated stress hyperglycemia using the stress hyperglycemia ratio (SHR) and its equation, say admission blood glucose/[(28.7 × HbA1c)- 46.7]. The primary outcomes included the composite cardiac events (combination of death during hospitalization, requiring cardiopulmonary resuscitation, cardiogenic shock, and the new episode of acute heart failure during hospitalization), major acute kidney injury (AKI stage 2 or 3), and major systemic infection. RESULTS Of 2875 eligible Chinese adults, SHR showed U-shaped associations with composite cardiac events, major AKI, and major systemic infection. People with SHR in the third tertile (vs those with SHR in the second tertile) presented higher risks of composite cardiac events ([odds ratio, 95% confidence interval] 1.89, 1.26 to 2.87) and major AKI (1.86, 1.01 to 3.54). In patients with impaired kidney function at baseline, both SHR in the first and third tertiles anticipated higher risks of major AKI and major systemic infection. CONCLUSIONS Both high and low SHR indicates poor prognosis during hospitalization in non-surgical patients with heart failure and type 2 diabetes.
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Affiliation(s)
- Yiling Zhou
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Li Liu
- Department of Endocrinology and Metabolism, Second People's Hospital of Ya'an City, Ya'an, 625000, China
| | - Hongmei Huang
- Department of Endocrinology and Metabolism, The First People's Hospital of Shuangliu District, Chengdu, 610200, China
| | - Nan Li
- The Informatic Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jidong He
- Department of Endocrinology and Metabolism, Second People's Hospital of Ya'an City, Ya'an, 625000, China
| | - Heling Yao
- Department of Endocrinology and Metabolism, Second People's Hospital of Ya'an City, Ya'an, 625000, China
| | - Xiaochi Tang
- Department of Endocrinology and Metabolism, The First People's Hospital of Shuangliu District, Chengdu, 610200, China
| | - Xiangyang Chen
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China
- Department of Endocrinology and Metabolism, The First People's Hospital of Shuangliu District, Chengdu, 610200, China
| | - Shengzhao Zhang
- Department of Pharmacy, Karamay Central Hospital, Karamay, 834000, China
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qingyang Shi
- Chinese Evidence-Based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Furong Qu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China
- Department of General Practice, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Si Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Miye Wang
- The Informatic Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chi Shu
- Department of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuping Zeng
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Haoming Tian
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ye Zhu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Baihai Su
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Chinese Evidence-Based Medicine Center, Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
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17
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Zhou Y, Huang H, Yan X, Hapca S, Bell S, Qu F, Liu L, Chen X, Zhang S, Shi Q, Zeng X, Wang M, Li N, Du H, Meng W, Su B, Tian H, Li S, on behalf of the WECODe Study Group. Glycated Haemoglobin A1c Variability Score Elicits Kidney Function Decline in Chinese People Living with Type 2 Diabetes. J Clin Med 2022; 11:6692. [PMID: 36431169 PMCID: PMC9692466 DOI: 10.3390/jcm11226692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 10/28/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Our aim was to investigate the association of glycated haemoglobin A1c (HbA1c) variability score (HVS) with estimated glomerular filtration rate (eGFR) slope in Chinese adults living with type 2 diabetes. This cohort study included adults with type 2 diabetes attending outpatient clinics between 2011 and 2019 from a large electronic medical record-based database of diabetes in China (WECODe). We estimated the individual-level visit-to-visit HbA1c variability using HVS, a proportion of changes in HbA1c of ≥0.5% (5.5 mmol/mol). We estimated the odds of people experiencing a rapid eGFR annual decline using a logistic regression and differences across HVS categories in the mean eGFR slope using a mixed-effect model. The analysis involved 2397 individuals and a median follow-up of 4.7 years. Compared with people with HVS ≤ 20%, those with HVS of 60% to 80% had 11% higher odds of experiencing rapid eGFR annual decline, with an extra eGFR decline of 0.93 mL/min/1.73 m2 per year on average; those with HVS > 80% showed 26% higher odds of experiencing a rapid eGFR annual decline, with an extra decline of 1.83 mL/min/1.73 m2 per year on average. Chinese adults with type 2 diabetes and HVS > 60% could experience a more rapid eGFR decline.
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Affiliation(s)
- Yiling Zhou
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Hongmei Huang
- Department of Endocrinology and Metabolism, The First People’s Hospital of Shuangliu District, Chengdu 610200, China
| | - Xueqin Yan
- Department of Chronic Disease Management, Pidu District Second People’s Hospital, Chengdu 610000, China
| | - Simona Hapca
- Division of Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, UK
| | - Samira Bell
- Division of Population Health Science and Genomics, School of Medicine, University of Dundee, Dundee DD2 4BF, UK
| | - Furong Qu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
- Department of General Practice, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Li Liu
- Department of Endocrinology and Metabolism, Second People’s Hospital of Ya’an City, Ya’an 625000, China
| | - Xiangyang Chen
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
- Department of Endocrinology and Metabolism, The First People’s Hospital of Shuangliu District, Chengdu 610200, China
| | - Shengzhao Zhang
- Department of Pharmacy, Karamay Central Hospital, Karamay 834000, China
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qingyang Shi
- Chinese Evidence-Based Medicine Center, Cochrane China Center, MAGIC China Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiaoxi Zeng
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Miye Wang
- Department of Informatics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Nan Li
- Department of Informatics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Heyue Du
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Wentong Meng
- Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Baihai Su
- Department of Nephrology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Haoming Tian
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, China
- Chinese Evidence-Based Medicine Center, Cochrane China Center, MAGIC China Center, West China Hospital, Sichuan University, Chengdu 610041, China
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