Diabetes research and clinical practice最新文献_第5页

Identifying subtypes of type 2 diabetes mellitus based on real-world electronic medical record data in China 基于真实世界电子病历数据识别中国 2 型糖尿病亚型。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-26 DOI: 10.1016/j.diabres.2024.111872

{"title":"Identifying subtypes of type 2 diabetes mellitus based on real-world electronic medical record data in China","authors":"","doi":"10.1016/j.diabres.2024.111872","DOIUrl":"10.1016/j.diabres.2024.111872","url":null,"abstract":"<div><h3>Aims</h3><div>To replicate the European subtypes of type 2 diabetes mellitus (T2DM) in the Chinese diabetes population and investigate the risk of complications in different subtypes.</div></div><div><h3>Methods</h3><div>A diabetes cohort using real-world patient data was constructed, and clustering was employed to subgroup the T2DM patients. Kaplan–Meier analysis and the Cox models were used to analyze the association between diabetes subtypes and the risk of complications.</div></div><div><h3>Results</h3><div>A total of 2,652 T2DM patients with complete clustering data were extracted. Among them, 466 (17.57 %) were classified as severe insulin-deficient diabetes (SIDD), 502 (18.93 %) as severe insulin-resistant diabetes (SIRD), 672 (25.34 %) as mild obesity-related diabetes (MOD), and 1,012 (38.16 %) as mild age-related diabetes (MARD). The risk of chronic kidney disease (CKD) and diabetic retinopathy (DR) were different in the four subtypes. Compared with MARD, SIRD had a higher risk of CKD (HR 2.40 [1.16, 4.96]), and SIDD had a higher risk of DR (HR 2.16 [1.11, 4.20]). The risk of stroke and coronary events had no difference.</div></div><div><h3>Conclusions</h3><div>The European T2DM subtypes can be replicated in the Chinese diabetes population. The risk of CKD and DR varied among different subtypes, indicating that proper interventions can be taken to prevent specific complications in different subtypes.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343570","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}

引用次数: 0

Association of glycemic variability and prognosis in patients with traumatic brain injury: A retrospective study from the MIMIC-IV database 脑外伤患者血糖变化与预后的关系：来自 MIMIC-IV 数据库的回顾性研究。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-26 DOI: 10.1016/j.diabres.2024.111869

{"title":"Association of glycemic variability and prognosis in patients with traumatic brain injury: A retrospective study from the MIMIC-IV database","authors":"","doi":"10.1016/j.diabres.2024.111869","DOIUrl":"10.1016/j.diabres.2024.111869","url":null,"abstract":"<div><h3>Background</h3><div>Elevated glycemic variability (GV) often occurs in intensive care unit (ICU) patients and is associated with patient prognosis. However, the association between GV and prognosis in ICU patients with traumatic brain injury (TBI) remains unclear.</div></div><div><h3>Method</h3><div>Clinical data of ICU patients with TBI were obtained from the Medical Information Mart for Intensive Care (MIMIC) -IV database. The coefficient of variation (CV) was utilized to quantify GV, while the Glasgow Coma Scale (GCS) was employed to evaluate the consciousness status of TBI patients. Pearson linear correlation analysis, linear regression, COX regression and restricted cubic spline (RCS) were used to investigate the relationship between CV and consciousness impairment, as well as the risk of in-hospital mortality.</div></div><div><h3>Result</h3><div>A total of 1641 ICU patients with TBI were included in the study from the MIMIC-IV database. Pearson linear correlation and restricted cubic spline (RCS) analysis results showed a negative linear relationship between CV and the last GCS (<em>P</em> = 0.002) with no evidence of nonlinearity (P for nonlinear = 0.733). Multivariable linear regression suggested a higher CV was associated with a lower discharge GCS [β (95 %CI) = −1.86 (−3.08 ∼ −0.65), <em>P</em> = 0.003]. Furthermore, multivariable COX regression indicated that CV ≥ 0.3 was a risk factor for in-hospital death in TBI patients [HR (95 %CI) = 1.74 (1.15–2.62), <em>P</em> = 0.003], and this result was also consistent across sensitivity and subgroup analyses.</div></div><div><h3>Conclusion</h3><div>Higher GV is related to poorer consciousness outcomes and increased risk of in-hospital death in ICU patients with TBI. Additional research is needed to understand the logical relationship between GV and TBI progression.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343475","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}

引用次数: 0

Association of age at diagnosis of type 2 diabetes mellitus with the risks of the morbidity of cardiovascular disease, cancer and all-cause mortality: Evidence from a real-world study with a large population-based cohort study 确诊 2 型糖尿病时的年龄与心血管疾病、癌症和全因死亡率的发病风险之间的关系：一项基于大型人群队列研究的真实世界研究提供的证据。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-26 DOI: 10.1016/j.diabres.2024.111870

{"title":"Association of age at diagnosis of type 2 diabetes mellitus with the risks of the morbidity of cardiovascular disease, cancer and all-cause mortality: Evidence from a real-world study with a large population-based cohort study","authors":"","doi":"10.1016/j.diabres.2024.111870","DOIUrl":"10.1016/j.diabres.2024.111870","url":null,"abstract":"<div><h3>Aims</h3><div>To investigate the impact of diagnosis age of type 2 diabetes mellitus (T2DM) on subsequent adverse outcomes within the Chinese population.</div></div><div><h3>Methods</h3><div>549,959 eligible T2DM patients were included from Ningbo and Jinhua city in Zhejiang province, China. Standardized ratio was used to evaluate the risks of coronary heart disease (CHD), stroke, cancer and all-cause death in different T2DM diagnosis age groups.</div></div><div><h3>Results</h3><div>For all adverse outcomes, higher excess risks were observed in the youngest age group (30–39) than in the oldest age group (≥80) with T2DM. The standardized incidence ratios (SIR) were 5.93 (95% CI: 3.46, 10.14) for CHD, 5.45 (95% CI: 3.72, 7.99) for stroke and 1.85 (95% CI: 1.38, 2.49) for cancer in the youngest age group, and were 1.32 (95% CI: 1.08, 1.60) for CHD, 1.25 (95% CI: 1.08, 1.44) for stroke, and 0.78 (95% CI: 0.56, 1.09) for cancer, respectively, in the oldest age group. The standardized mortality ratios (SMR) for all-cause death were 3.15 (1.69, 5.84) vs. 1.12 (0.88, 1.43). These excess risks decreased with increasing diagnosis age (all P value < 0.001). Consistent results were observed when individuals were stratified by sex or further excluded with the time from T2DM diagnosis to endpoints less than 1 or 2 years.</div></div><div><h3>Conclusions</h3><div>Th earlier the diagnosis of T2DM, the higher the risk for subsequent adverse outcomes. It is imperative to enhance the management and monitoring of early-onset patients during follow-up.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343474","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}

引用次数: 0

Mortality in type 1 diabetes mellitus: A single centre experience from the ICMR – Youth onset diabetes registry in India 1 型糖尿病患者的死亡率：来自印度 ICMR - 青年糖尿病登记中心的单一中心经验。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-25 DOI: 10.1016/j.diabres.2024.111868

{"title":"Mortality in type 1 diabetes mellitus: A single centre experience from the ICMR – Youth onset diabetes registry in India","authors":"","doi":"10.1016/j.diabres.2024.111868","DOIUrl":"10.1016/j.diabres.2024.111868","url":null,"abstract":"<div><h3>Introduction</h3><div>The prevalence of youth onset diabetes is rising globally along with a greater burden of complications and mortality in them. The current study was undertaken to examine the mortality and causes of death in patients with youth onset diabetesregistered in a tertiary care hospital in North India.</div></div><div><h3>Methods</h3><div>We analyzed mortality and causes of death in 1088 patients with youth onset diabetes registered from 2006 to 2019 at University College of Medical Sciences, Delhi. Information of death was obtained telephonically or by home visit or from hospital records wherever available. Verbal autopsy according to ICMR questionnaire was performed and cause of death determined as per WHO ICD-10/11.</div></div><div><h3>Results</h3><div>Among 898 youth onset type 1 diabetes mellitus (T1D) patients who had a mean follow up of 6.4 years, 105 deaths (11.6 %) occurred. Forty three percent of deaths had diabetes onset at 15 years or below, and 75.6 % had HbA1C > 10 %. Deaths occurred in 24.2 % within 2 years and in 53.6 % within 3 years of diagnosis. Chronic Kidney disease, infections and ketoacidosis were the commonest causes.</div></div><div><h3>Conclusion</h3><div>We found poor glycaemic control and high mortality in people with youth onset T1D being treated at a tertiary care hospital in north India.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343571","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}

引用次数: 0

Associations of triglyceride–glucose index cumulative exposure and variability with the transitions from normoglycaemia to prediabetes and prediabetes to diabetes: Insights from a cohort study 甘油三酯-葡萄糖指数累积暴露量和变异性与正常血糖向糖尿病前期和糖尿病前期向糖尿病转变的关系：一项队列研究的启示

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-24 DOI: 10.1016/j.diabres.2024.111867

{"title":"Associations of triglyceride–glucose index cumulative exposure and variability with the transitions from normoglycaemia to prediabetes and prediabetes to diabetes: Insights from a cohort study","authors":"","doi":"10.1016/j.diabres.2024.111867","DOIUrl":"10.1016/j.diabres.2024.111867","url":null,"abstract":"<div><h3>Aim</h3><div>This study aimed to investigate the separate and joint associations of triglyceride–glucose (TyG) index accumulation and variability with prediabetes and diabetes risk.</div></div><div><h3>Methods</h3><div>Health check-up participants who underwent 3 sequential health examinations during 2012–2016 and were followed up from 2017 to 2021 were enrolled and categorized into two subcohorts: (a) progression from normoglycaemia to prediabetes subcohort (n = 9373) and (b) progression from prediabetes to diabetes subcohort (n = 4563). Cumulative TyG (cumTyG) and TyG variability from Exams 1–3 were the exposures of interest in our study. The outcomes were newly incident prediabetes or diabetes.</div></div><div><h3>Results</h3><div>In the prediabetes development subcohort, 2,074 participants developed prediabetes over a 2.42-year follow-up. Higher cumTyG (HR, 2.02; 95 % CI, 1.70–2.41), but not greater TyG variability alone, was significantly associated with increased prediabetes risk. In the diabetes development subcohort, 379 participants developed diabetes over a 3.0-year follow-up. Higher cumTyG (HR, 3.54; 95 % CI, 2.29–5.46), but not greater TyG variability alone, was significantly associated with increased diabetes risk. The “cumTyG+variability” combination had the highest predictive value for prediabetes and diabetes beyond a single baseline TyG measurement.</div></div><div><h3>Conclusion</h3><div>Higher cumTyG exposure independently predicts prediabetes and diabetes incidence. Coexisting cumTyG and variability could further yield incrementally greater risks.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327716","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}

引用次数: 0

A prediction model for gestational diabetes mellitus based on steroid hormonal changes in early and mid-down syndrome screening: A multicenter longitudinal study 基于早中期妊娠综合征筛查中类固醇激素变化的妊娠糖尿病预测模型：多中心纵向研究。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-21 DOI: 10.1016/j.diabres.2024.111865

{"title":"A prediction model for gestational diabetes mellitus based on steroid hormonal changes in early and mid-down syndrome screening: A multicenter longitudinal study","authors":"","doi":"10.1016/j.diabres.2024.111865","DOIUrl":"10.1016/j.diabres.2024.111865","url":null,"abstract":"<div><h3>Background</h3><div>Steroid hormones (SH) during pregnancy are associated with the development of gestational diabetes mellitus (GDM). Early and mid-Down syndrome screening is used to assess the risk of Down syndrome in the fetus. It is unclear whether changes in SH during this period can be used as an early predictor of GDM.</div></div><div><h3>Methods</h3><div>This study was a multicenter, longitudinal cohort study. GDM is diagnosed by an oral glucose tolerance test (OGTT) between 24 and 28 weeks of gestation. We measured SH levels at early and mid-Down syndrome screening, respectively. Based on the SH changes, logistic regression analysis was used to construct a prediction model for GDM. Finally, evaluated the model’s predictive performance by creating a receiver operating characteristic curve (ROC) and performing external validation.</div></div><div><h3>Results</h3><div>This study enrolled 193 pregnant women (discovery cohort, n = 157; validation cohort, n = 36). SH changes occur dynamically after pregnancy. At early Down syndrome screening, only cortisol (F) (<em>p</em> < 0.05, 95 % CI 4780.95–46083.68) was elevated in GDM. At mid-Down syndrome screening, free testosterone (FT) (<em>p</em> < 0.01, 95 % CI 0.10–0.55) and estradiol (E2) (<em>p</em> < 0.05, 95 % CI 203.55–1784.78) were also significantly elevated. There were significant differences in the rates of change in E2 (Fold change (FC) = 1.3425, <em>p</em> = 0.0072), albumin (ALB) (FC=1.5759, <em>p</em> = 0.0117), and dihydrotestosterone (DHT) (FC=-2.1234, <em>p</em> = 0.0165) between GDM and no-GDM. Stepwise logistic regression analysis resulted in the best predictive model, including six variables (Δweight, ΔF, Δcortisone (E), ΔE2, Δprogesterone (P), ΔDHT). The area under the curve for this model was 0.791, and for the external validation cohort, it was 0.799.</div></div><div><h3>Conclusions</h3><div>A GDM prediction model can be constructed using SH measures during early and mid-Down syndrome screening.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281900","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}

引用次数: 0

Sleep quality and glucose control in adults with type 1 diabetes during the seasonal daylight saving time shifts 季节性夏令时转换期间 1 型糖尿病成人患者的睡眠质量和血糖控制情况

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-19 DOI: 10.1016/j.diabres.2024.111859

{"title":"Sleep quality and glucose control in adults with type 1 diabetes during the seasonal daylight saving time shifts","authors":"","doi":"10.1016/j.diabres.2024.111859","DOIUrl":"10.1016/j.diabres.2024.111859","url":null,"abstract":"<div><h3>Aim</h3><p>There is a bidirectional relationship between glucose control and sleep quality and timing in type 1 diabetes (T1D). The aim of the study was to investigate the sleep quality and the glucose metrics in people with T1D at the seasonal clock adjustment.</p></div><div><h3>Methods</h3><p>This observational study retrospectively compared the continuous glucose monitoring (CGM) derived metrics and sleep quality observed before (Time 0) and after (Time 1) transition in autumn and before (Time 2) and after (Time 3) transition in spring. We included adults with T1D, treated with CGM systems, who completed the Pittsburgh Sleep Quality Index questionnaire. The main outcome measure was the change in glucose monitoring indicator (GMI), time in range (TIR), time above range (TAR) and time below range.</p></div><div><h3>Results</h3><p>Sixty-two participants showed no changes in sleep quality at time transitions. GMI values increased during both time transitions and the percentage of TIR decreased from Time 0 to Time 1 and from Time 2 to Time 3. The percentage of level 2 TAR increased during the observation.</p></div><div><h3>Conclusions</h3><p>At similar level of sleep quality, adults with T1D underwent the worsening of most of CGM-derived glucose control metrics during the transition time.</p></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0168822724007691/pdfft?md5=634c9dc676c402fca942e09956120407&pid=1-s2.0-S0168822724007691-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272011","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}

引用次数: 0

Diabetes distress profiles and health outcomes of individuals with type 2 diabetes and overweight/obesity: A cluster analysis 2 型糖尿病和超重/肥胖症患者的糖尿病困扰概况和健康状况：聚类分析

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-19 DOI: 10.1016/j.diabres.2024.111863

{"title":"Diabetes distress profiles and health outcomes of individuals with type 2 diabetes and overweight/obesity: A cluster analysis","authors":"","doi":"10.1016/j.diabres.2024.111863","DOIUrl":"10.1016/j.diabres.2024.111863","url":null,"abstract":"<div><h3>Aims</h3><p>To determine the prevalence and patterns of diabetes distress, and evaluate the differences in health outcomes between profiles.</p></div><div><h3>Methods</h3><p>This cross-sectional study included 330 adults with T2DM and overweight/obesity. The participants completed questionnaires on diabetes distress, sleep quality, self-efficacy, depression, anxiety and positive and negative affect. A cluster analysis was performed to identify different patterns of diabetes distress and one-way ANOVA was used to investigate the differences in physical and psychological outcomes between profiles.</p></div><div><h3>Results</h3><p>30.6% of patients were identified as moderately to highly distressed, with the regimen-related distress found to be the most prominent. The Cluster analysis revealed four distinct clusters: (1) “comprehensively exhausted profile”; (2) “strained profile”; (3) “high internal anguish profile”; (4) “unperturbed profile”. The measures of fasting blood glucose (FBG), glycated hemoglobin (HbA1c), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, sleep quality, depression, anxiety, positive and negative affect and self-efficacy differ between clusters.</p></div><div><h3>Conclusions</h3><p>This study identified important differences that existed in patterns of diabetes distress among people with T2DM and overweight/obesity, and this variation can be utilized to tailor intervention strategies to the particular needs of different subgroups within individuals with T2DM.</p></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271901","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}

引用次数: 0

Diabetes mellitus is associated with low exercise capacity and impaired peripheral vasodilation in patients with heart failure − a propensity score-matched study 糖尿病与心力衰竭患者运动能力低下和外周血管扩张受损有关--一项倾向评分匹配研究。

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-19 DOI: 10.1016/j.diabres.2024.111864

{"title":"Diabetes mellitus is associated with low exercise capacity and impaired peripheral vasodilation in patients with heart failure − a propensity score-matched study","authors":"","doi":"10.1016/j.diabres.2024.111864","DOIUrl":"10.1016/j.diabres.2024.111864","url":null,"abstract":"<div><h3>Aims</h3><div>Diabetes mellitus (DM) and heart failure (HF) share vascular, skeletal and metabolic abnormalities that can reduce exercise capacity. We investigated whether exercise capacity differ in patients with type 2 DM compared to those without DM with HF of similar severity.</div></div><div><h3>Methods and results</h3><div>The Studies Investigating Co-morbidities Aggravating HF (SICA-HF) prospectively enrolled 615 patients with chronic HF, 259 (42.1 %) of whom had DM. We assembled a propensity score-matched cohort of 231 pairs of patients with HF with or without DM who were balanced on age, sex and variables reflecting HF severity. Patients with DM had lower median peak VO<sub>2</sub> (15.7 [13.0–19.1] <em>vs.</em> 17.3 [14.1–21.0] ml/min/kg; p = 0.005). Forearm blood flow reserve (per 1 ml/min/100 ml increase) was associated with lower exercise capacity (peak VO2 ≤ 16.6 ml/min/kg) in patients with DM (OR, 0.92; 95 % CI, (0.85–0.98; p = 0.014), but not in those without DM (OR, 0.98; 95 % CI, 0.93–1.02). A similar heterogeneity was also observed for HDL cholesterol.</div></div><div><h3>Conclusions</h3><div>Diabetes is associated with a reduced exercise capacity in patients with HF. Most predictors of lower exercise capacity in HF are similar regardless of DM except impaired vascular function and lower HDL cholesterol which predict lower exercise capacity only in those with DM.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281901","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}

引用次数: 0

Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis 基于计算机断层扫描的身体成分显示高甘油三酯急性胰腺炎后的糖尿病情况

IF 6.1 3区医学

Diabetes research and clinical practice Pub Date : 2024-09-18 DOI: 10.1016/j.diabres.2024.111862

{"title":"Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis","authors":"","doi":"10.1016/j.diabres.2024.111862","DOIUrl":"10.1016/j.diabres.2024.111862","url":null,"abstract":"<div><h3>Background</h3><p>Post‑acute pancreatitis prediabetes/diabetes mellitus (PPDM‑A) is one of the common sequelae of acute pancreatitis (AP). The aim of our study was to build a machine learning (ML)-based prediction model for PPDM-A in hypertriglyceridemic acute pancreatitis (HTGP).</p></div><div><h3>Methods</h3><p>We retrospectively enrolled 165 patients for our study. Demographic and laboratory data and body composition were collected. Multivariate logistic regression was applied to select features for ML. Support vector machine (SVM), linear discriminant analysis (LDA), and logistic regression (LR) were used to develop prediction models for PPDM-A.</p></div><div><h3>Results</h3><p>65 patients were diagnosed with PPDM-A, and 100 patients were diagnosed with non-PPDM-A. Of the 84 body composition-related parameters, 15 were significant in discriminating between the PPDM-A and non-PPDM-A groups. Using clinical indicators and body composition parameters to develop ML models, we found that the SVM model presented the best predictive ability, obtaining the best AUC=0.796 in the training cohort, and the LDA and LR model showing an AUC of 0.783 and 0.745, respectively.</p></div><div><h3>Conclusions</h3><p>The association between body composition and PPDM-A provides insight into the potential pathogenesis of PPDM-A. Our model is feasible for reliably predicting PPDM-A in the early stages of AP and enables early intervention in patients with potential PPDM-A.</p></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":null,"pages":null},"PeriodicalIF":6.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243856","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}

引用次数: 0