Diabetes research and clinical practice最新文献

{"title":"In humans increase in intrapancreatic adipose tissue predicts beta-cell dedifferentiation score before diabetes onset: A pilot study","authors":"Francesca Cinti ,&nbsp;Teresa Mezza ,&nbsp;Ilenia Severi ,&nbsp;Simona Moffa ,&nbsp;Gianfranco Di Giuseppe ,&nbsp;Umberto Capece ,&nbsp;Gea Ciccarelli ,&nbsp;Laura Soldovieri ,&nbsp;Michela Brunetti ,&nbsp;Cassandra Morciano ,&nbsp;Shawn Gugliandolo ,&nbsp;Martina Senzacqua ,&nbsp;Adriana Avolio ,&nbsp;Giuseppe Quero ,&nbsp;Vincenzo Tondolo ,&nbsp;Enrico Celestino Nista ,&nbsp;Rossana Moroni ,&nbsp;Saverio Cinti ,&nbsp;Sergio Alfieri ,&nbsp;Antonio Gasbarrini ,&nbsp;Andrea Giaccari","doi":"10.1016/j.diabres.2025.112029","DOIUrl":"10.1016/j.diabres.2025.112029","url":null,"abstract":"<div><h3>Background</h3><div>The role of intrapancreatic fat (WAT) in the development of T2D remains debated. In T2D, β-cell dedifferentiation is one of the mechanisms responsible for β-cell failure but its role in prediabetes is unknown. We aimed to investigate the relation between WAT and β-cell dedifferentiation prior to diabetes onset.</div></div><div><h3>Methods</h3><div>We evaluated pancreatic samples from patients without history of diabetes, who had previously undergone an oral glucose tolerance test and hyperglycemic clamp. Subjects were divided into 3 glucose tolerance groups: normal (NGT), altered (IGT) or newly diagnosed diabetes (nDM). Dedifferentiation and WAT% were morphologically assessed.</div></div><div><h3>Results</h3><div>WAT was higher in nDM patients compared to NGT and IGT (WAT nDM 43.79 ± 20.83 %, IGT 10.67 ± 8.5 %, NGT 4.43 ± 4.37 %). We observed a progressive increase in dedifferentiation score, in parallel with worsening glucose tolerance (from NGT to IGT to nDM; 4.8 ± 3.8; 32.37 ± 7.4; 40.38 ± 19 respectively). A strong linear regression established that WAT could statistically significantly predict dedifferentiated β-cells (R = 0.86, p = 0.005), and that the predicted increase in dedifferentiated β-cells was 1.25 points for every extra one-point change in WAT. Interestingly, the WAT and dedifferentiation score variable pair were significantly related to 1-hour post-load glycemia.</div></div><div><h3>Conclusions</h3><div>The accumulation of WAT might be responsible for dedifferentiation, making it a potential new target to curb diabetes onset.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112029"},"PeriodicalIF":6.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychosocial and behavioral risk patterns and risk of cardiovascular complications in people with type 2 diabetes","authors":"Xiu Wu ,&nbsp;Yuanhao Zu ,&nbsp;Danting Li ,&nbsp;Yilin Yoshida","doi":"10.1016/j.diabres.2025.112037","DOIUrl":"10.1016/j.diabres.2025.112037","url":null,"abstract":"<div><h3>Introduction</h3><div>Psychosocial and behavioral risk factors often co-occur in patients with type 2 diabetes (T2D). The clustering of these risk factors and their role in predisposing patients to cardiovascular complications is not well understood. This study aims to identify patient subgroups with distinct psychological and behavioral risk patterns and evaluate the long-term risk of cardiovascular complications associated with these risk patterns.</div></div><div><h3>Methods</h3><div>A total of 24,467 patients with T2D were identified from the UK Biobank (mean age 59 years, 86.7 %white), used Latent Class Analysis (LCA) to distinguish risk patterns among observed psychosocial (social isolation, loneliness, high neuroticism, anxiety, and depression) and behavioral (smoking, alcohol consumption, sleep duration, diet quality, and physical inactivity) risk factors. the Cox proportional hazards model was applied to assess the association of the identified risk patterns and risk of coronary heart disease (CHD), stroke, and a composite CVD (CHD or stroke) accounting for age, age at T2D diagnosis, race, gender, Townsend Deprivation Index, anti-diabetes medications, lipid-lowering medications, and anti-hypertensive medications.</div></div><div><h3>Results</h3><div>Three distinct latent classes were identified: a low-risk group (n = 8,227, 33.62 %), a high psychosocial risk group (n = 15,965, 65.25 %), and a high behavioral risk group (n = 275, 1.12 %). Over a median follow-up of 12 years, the fully adjusted model showed that the high psychosocial risk group had a significantly increased risk of CHD (HR = 1.16; 95 % CI 1.08, 1.24) and composite CVD (HR = 1.13; 95 % CI 1.06, 1.20).</div></div><div><h3>Conclusion</h3><div>The psychosocial risk pattern is significantly associated with the risk of CHD and CVD among patients with T2D. These findings emphasize the importance of integrating psychosocial support into tailored care strategies to mitigate cardiovascular risks in T2D patients.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112037"},"PeriodicalIF":6.1,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sociodemographic inequities and use of hybrid closed-loop systems associated with obesity in youth with type 1 diabetes","authors":"Svetlana Azova ,&nbsp;Lori Laffel ,&nbsp;Belinda S. Lennerz ,&nbsp;Carter R. Petty ,&nbsp;Joseph Wolfsdorf ,&nbsp;Erinn T. Rhodes ,&nbsp;Katharine Garvey","doi":"10.1016/j.diabres.2025.112041","DOIUrl":"10.1016/j.diabres.2025.112041","url":null,"abstract":"<div><h3>Aims</h3><div>This study aimed to describe changes over time in rates of overweight and obesity and to identify factors associated with obesity in youth with type 1 diabetes.</div></div><div><h3>Methods</h3><div>We analyzed data from 7360 diabetes medical visits among 2242 youth with type 1 diabetes for ≥1 year followed at a pediatric, tertiary care, academic medical center between 2018 and 2023. Multivariable generalized estimating equations (GEE) analysis and conditional logistic regression (CLR), where each patient had both control (not obesity) and case (obesity) status, were conducted.</div></div><div><h3>Results</h3><div>Adjusted annual percentages of patients with obesity increased from 13.8 % in 2018 to 18.2 % in 2023 (<em>P</em> = 0.006); rates of overweight did not differ significantly over time. In multivariable GEE analysis, public insurance (<em>P</em> = 0.026), lower Child Opportunity Index score (<em>P</em> = 0.027), and use of hybridclosed-loop (HCL) systems (<em>P</em> = 0.023) were associated with obesity. In CLR, use of continuous glucose monitor and HCL systems and the sum of their effects (<em>P</em> = 0.002) were associated with obesity.</div></div><div><h3>Conclusions</h3><div>This study revealed increasing rates of obesity in children with type 1 diabetes and identified sociodemographic and diabetes care-related factors associated with obesity, highlighting targets for intervention to decrease future risk of cardiovascular complications.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112041"},"PeriodicalIF":6.1,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143398181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NIR-II imaging-based detection of early changes in lower limb perfusion in type 2 diabetes patients without peripheral artery disease","authors":"Yijie Ning ,&nbsp;Jie Hu ,&nbsp;Yikun Zhu ,&nbsp;Wei Tang ,&nbsp;Sheng Yan ,&nbsp;Haifeng Li ,&nbsp;Zeyu Zhang ,&nbsp;Chuanlong Lu ,&nbsp;Keyao Ren ,&nbsp;Peilu Shi ,&nbsp;Tian Yao ,&nbsp;Qian Wang ,&nbsp;Yan Zhao ,&nbsp;Tingting Gao ,&nbsp;Ruijing Zhang ,&nbsp;Honglin Dong","doi":"10.1016/j.diabres.2025.112038","DOIUrl":"10.1016/j.diabres.2025.112038","url":null,"abstract":"<div><h3>Aims</h3><div>The formation of lower limb arterial plaques, exacerbated by type 2 diabetes (T2D), represents an early stage of lower limb peripheral artery disease (PAD). Second near-infrared region (NIR-II) imaging is an emerging technique with high sensitivity for detecting perfusion levels. This study explores the value of NIR-II imaging in identifying perfusion changes due to lower extremity arterial plaques in T2D patients without PAD.</div></div><div><h3>Methods</h3><div>NIR-II imaging with indocyanine green (ICG) was conducted on 120 T2D patients, who were categorized into two groups: plaque and non-plaque. NIR-II parameters and clinical characteristics were analyzed between the two groups to identify significant predictors of lower extremity arterial plaques.</div></div><div><h3>Results</h3><div>Six NIR-II imaging parameters (T start, T 1/2, Tmax, Ingress rate, Egress, and Egress rate) showed significant differences and diagnostic efficacy between the two groups. Three NIR-II parameters (T start, Egress, and Egress rate) and two clinical characteristics (age and sex) were identified as independent predictors of lower limb artery plaques. The nomogram showed that a combined model with NIR-II parameters and clinical characteristics exhibited higher diagnostic efficacy.</div></div><div><h3>Conclusion</h3><div>NIR-II imaging can effectively detect early perfusion changes in T2D patients, showing great potential for pre-diagnosis of individuals at high risk for PAD.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112038"},"PeriodicalIF":6.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep duration, mediating biomarkers, and risk of microvascular complications among individuals with type 2 diabetes: A prospective cohort study","authors":"Xiaoge Niu ,&nbsp;Hongwei Liu ,&nbsp;Yanxi Wang ,&nbsp;Yanfang Lu ,&nbsp;Xiaojing Jiao ,&nbsp;Yafeng Ren ,&nbsp;Lei Yan ,&nbsp;Shaokai Zhang ,&nbsp;Huixia Cao ,&nbsp;Fengmin Shao","doi":"10.1016/j.diabres.2025.112026","DOIUrl":"10.1016/j.diabres.2025.112026","url":null,"abstract":"<div><h3>Background</h3><div>Associations between sleep duration and incident diabetic microvascular complications remain uncertain. The potential biological pathways underlying the association are unclear.</div></div><div><h3>Methods</h3><div>This prospective cohort study included 24,081 participants with type 2 diabetes from the UK Biobank. Habitual sleep duration was obtained via a baseline questionnaire. Associations of sleep duration with microvascular complications were analyzed using Cox regression models.</div></div><div><h3>Results</h3><div>The association of sleep duration with composite microvascular complications followed U-shaped patterns. Compared with sleeping for 7 hrs/day, the hazard ratios (95 % confidence intervals) of ≤ 5 and ≥ 10 hrs/day were 1.21 (1.09, 1.35) and 1.24 (1.09, 1.42) for the composite outcome, 1.20 (1.04, 1.38) and 1.30 (1.09, 1.54) for diabetic kidney disease, 1.61 (1.30, 2.00) and 1.35 (1.01, 1.79) for diabetic neuropathy, and 1.10 (0.93, 1.30) and 1.17 (0.95, 1.44) for diabetic retinopathy. Body mass index, gamma-glutamyl transferase, C-reactive protein, alkaline phosphatase, total cholesterol, and low-density lipoprotein cholesterol collectively explained 20.34 % of the association between sleep duration and composite microvascular complications.</div></div><div><h3>Conclusions</h3><div>Our study demonstrated that both short and long sleep durations were independently associated with increased risk of diabetic microvascular complications. The associations were partially mediated by metabolic biomarkers related to obesity, systemic inflammation, liver function, and lipid profile.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112026"},"PeriodicalIF":6.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143390274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-world evidence supporting the use of advanced hybrid closed loop in poorly controlled type 1 diabetes patients","authors":"Sophie Graf ,&nbsp;Giulia Hofer ,&nbsp;Ruth Hirschmann,&nbsp;Roger Lehmann,&nbsp;Claudia Cavelti-Weder","doi":"10.1016/j.diabres.2025.112035","DOIUrl":"10.1016/j.diabres.2025.112035","url":null,"abstract":"<div><h3>Background</h3><div>The advanced hybrid closed loop (a-HCL) algorithm includes automated basal and correction bolus insulin with customizable glucose targets. This study aimed to evaluate the effectiveness of a-HCL compared to predictive low glucose suspension (PLGS) and standard hybrid closed-loop (s-HCL) systems and to identify patient populations experiencing the greatest glycemic improvement after transitioning to a-HCL.</div></div><div><h3>Methods</h3><div>This retrospective study included type 1 diabetes patients at the University Hospital Zurich, Switzerland, who transitioned from PLGS or s-HCL to a-HCL between January 2020 and December 2021. Glycemic metrics, including HbA1c, time in range (TIR), time above range (TAR), time below range (TBR), sensor glucose (SG), and coefficient of variation (CV), were analyzed pre-and post-a-HCL implementation, considering clinical parameters influencing outcomes.</div></div><div><h3>Results</h3><div>Among 71 patients, a-HCL implementation significantly reduced in HbA1c (7.2 ± 0.9 % to 6.8 ± 0.5 %, p &lt; 0.001), SG (8.8 ± 1.4 mmol/L to 7.8 ± 0.8 mmol<strong>/</strong>L, p &lt; 0.001), TAR (26.3 % to 17.3 %, p &lt; 0.001) and increased TIR (68.5 % to 79.8 %, p &lt; 0.001). TBR and CV showed no significant changes. Improvements were most pronounced in patients with higher baseline HbA1c, SG, CV and lower TIR, all indicators of poor glycemic control, and a BMI &gt; 30 kg/m².</div></div><div><h3>Conclusions</h3><div>Our findings support a-HCL utilization across all patients, particularly in poorly controlled type 1 diabetes patients.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"222 ","pages":"Article 112035"},"PeriodicalIF":6.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143390270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interplay among sleep quality, dinner timing, and blood glucose control in users of advanced technologies: A study in a cohort of adults with type 1 diabetes","authors":"A. Corrado ,&nbsp;G. Scidà ,&nbsp;J. Abuqwider ,&nbsp;E. Annuzzi ,&nbsp;A. Giosuè ,&nbsp;F. Pisano ,&nbsp;G. Annuzzi ,&nbsp;L. Bozzetto","doi":"10.1016/j.diabres.2025.112034","DOIUrl":"10.1016/j.diabres.2025.112034","url":null,"abstract":"<div><h3>Aims</h3><div>To explore the interplay among sleep quality, dinner timing, and glycemic control in adults with type 1 diabetes (T1D) using advanced diabetes technologies.</div></div><div><h3>Methods</h3><div>T1D adults on automated (AID, n = 122) or non-automated (CSII, n = 67) insulin delivery systems completed the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Two-week CGM-metrics, HbA1c, and post-dinner glucose control were compared by independent T-test in Good <em>vs.</em> Bad-sleepers (PSQI-score above 5) or in Early <em>vs.</em> Late-eaters (above median of the cohort’s dinner time).</div></div><div><h3>Results</h3><div>Time-below-range (TBR)_70-54 (2.1 ± 2.0 <em>vs.</em> 1.3 ± 1.2 %), TBR₅₄ (0.7 ± 1.0 <em>vs.</em> 0.2 ± 0.4 %), and coefficient of variation (34.4 ± 5.3 <em>vs.</em> 31.8 ± 5.2 %) were significantly higher in Bad-sleepers than Good-sleepers (p &lt; 0.05 for all). Late-eaters, particularly among AID users, showed higher HbA1c and lower TBR_70-54, and, after dinner, higher TAR_180-250 and lower Time-in-range_70-180 than Early-eaters (p &lt; 0.05 for all). At multiple regression analysis, dinner time was a main predictor of HbA1c, and TBR₅₄ a main predictor of sleep quality.</div></div><div><h3>Conclusions</h3><div>The rate of hypoglycemia and dinner timing are key factors affecting both sleep quality and glycemic control in adults with T1D. Addressing lifestyle habits, including dinner timing and fear of hypoglycemia, may still be needed in users of AID.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112034"},"PeriodicalIF":6.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143390268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient and physician factors driving the gaps in use of drugs with cardiovascular and kidney benefits by medicare beneficiaries with type 2 diabetes treated by endocrinologists, nephrologists, and cardiologists: Population-based cohort study","authors":"Rozalina G. McCoy ,&nbsp;Jonathan L. Vandergrift ,&nbsp;Bradley Gray","doi":"10.1016/j.diabres.2025.112039","DOIUrl":"10.1016/j.diabres.2025.112039","url":null,"abstract":"<div><h3>Aims</h3><div>Endocrinologists, nephrologists, and cardiologists care for people with type 2 diabetes (T2D) and coexisting cardiovascular disease (CVD), heart failure (HF), and/or chronic kidney disease (CKD). Glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter 2 inhibitors (SGLT2i) should be preferentially used, but are underutilized. We examine patient and physician factors associated with GLP-1RA/SGLT2i use by patients treated by these subspecialists.</div></div><div><h3>Methods</h3><div>Retrospective cohort study using linked 2022 Medicare and American Board of Internal Medicine data for adults &gt;65 years with T2D and coexisting CVD, HF, and/or CKD and their treating endocrinologists, nephrologists, and cardiologists.</div></div><div><h3>Results</h3><div>We identified 246,106/254,425/435,773 patients treated by 5,661/8,233/10,874 endocrinologists/nephrologists/cardiologists in 2022. Overall, 73.2 % of endocrinologist-treated patients filled diabetes medications prescribed by endocrinologists; 41.9 % filled GLP-1RA/SGLT2i. Patients of nephrologists and cardiologists were rarely prescribed diabetes medications by these subspecialists (9.8 % and 6.1 %, respectively); however, conditional on filling any diabetes medication, they were more likely to fill a GLP-1RA/SGLT2i (59.5 % and 48.2 %, respectively). Older patients of endocrinologists and nephrologists, and patients of older nephrologists and cardiologists, were less likely to fill GLP-1RA/SGLT2i.</div></div><div><h3>Conclusions</h3><div>Many, particularly older, patients with T2D treated by endocrinologists, nephrologists, and cardiologists should be, but are not, prescribed GLP-1RA/SGTL2i. Physician training may improve these statistics.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112039"},"PeriodicalIF":6.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143381823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time in targeted blood glucose range as an independent predictor of 28-Day mortality in ICU Patients: A retrospective study","authors":"Jian Zhao ,&nbsp;Dan Huang ,&nbsp;Shuang Hua ,&nbsp;Xiangdong Huang ,&nbsp;Yuanzhuo Chen ,&nbsp;Yugang Zhuang","doi":"10.1016/j.diabres.2025.112033","DOIUrl":"10.1016/j.diabres.2025.112033","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to evaluate the relationship between time in targeted blood glucose range (TIR) and 28-day mortality in critically ill patients.</div></div><div><h3>Methods</h3><div>A retrospective cohort analysis was conducted using data from the MIMIC-IV database. Patients (n = 18,905) were stratified into four quartiles based on TIR values. The association between TIR and mortality was assessed using multivariable logistic regression models with adjustments for potential confounders.</div></div><div><h3>Results</h3><div>In the fully adjusted model, each percentage point increase in TIR was associated with a 1 % reduction in 28-day mortality risk (OR = 0.99, 95 % CI: 0.98–0.99, P &lt; 0.001). Patients in the highest TIR quartile showed a 60 % lower mortality risk compared to those in the lowest quartile (OR = 0.40, 95 % CI: 0.22–0.74, P = 0.003). The predictive model demonstrated good discriminative ability (AUC = 0.7543).</div></div><div><h3>Conclusion</h3><div>Time in targeted blood glucose range is independently associated with 28-day mortality in ICU patients, suggesting its potential value as a metric for risk stratification and glycemic management optimization.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112033"},"PeriodicalIF":6.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cohort prevalence of young-onset type 2 diabetes in South Asia: A systematic review","authors":"Shyama Reji ,&nbsp;Malini Sankaraeswaran ,&nbsp;Venkatesan Ulagamathesan ,&nbsp;Hannah Wesley ,&nbsp;Gowri Ramesh ,&nbsp;Shylaja Srinivasan ,&nbsp;Shivani Misra ,&nbsp;Ranjit Mohan Anjana ,&nbsp;Ranjit Unnikrishnan ,&nbsp;Viswanathan Mohan ,&nbsp;Anandakumar Amutha","doi":"10.1016/j.diabres.2025.112013","DOIUrl":"10.1016/j.diabres.2025.112013","url":null,"abstract":"<div><h3>Background &amp; Aim</h3><div>The prevalence of young onset (≤30 years) type 2 diabetes (T2D) is increasing in South Asians, reflecting rise in childhood obesity. This systematic review analyses current data on the<!--> <!-->cohort prevalence of young onset T2D in South Asians.</div></div><div><h3>Methods</h3><div>PubMed, Scopus,<!--> <!-->Science Direct,<!--> <!-->and Ebscohost were searched for articles published between 1990 and 2024, and<!--> <!-->a manual search identified additional articles. This study included case series, cross-sectional, retrospective cohort, or case reports.</div></div><div><h3>Results</h3><div>Out of 5073 studies, 26 eligible studies were found including three case reports. Seventeen studies were from India, five were<!--> <!-->from other South Asian countries (Pakistan, Bangladesh, Nepal, Maldives), and nine were on migrant South Asians residing in different countries (UK,<!--> <!-->USA,<!--> <!-->Qatar, Canada). The cohort prevalence of young onset T2D in South Asians ranged from 0.1 % to 28.3 % (India 0.4 to 26.8 %, other SA countries 0.1 to 28.3 %, and migrant South Asians 4.1 to 18.1 %).</div></div><div><h3>Conclusion</h3><div>The burden of T2D among native South Asian children and young adults is higher than among migrant South Asians. This contrasts with traditional perceptions that T2D primarily affects older individuals and the South Asian diaspora i.e., those who have migrated from South Asia.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"221 ","pages":"Article 112013"},"PeriodicalIF":6.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143381821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}