scholarly journals Prognosis of COVID-19 patients with type 2 diabetes

2021 ◽  
Vol 12 (1) ◽  
pp. 126-139
Author(s):  
Brunda M ◽  
Spandana Peddareddy ◽  
Arushi Moha ◽  
Mahesh DM ◽  
Samriddha Thapa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Comprehensive Analysis ◽  
Control Of Diabetes ◽  
Test Of Significance ◽  
The Mean ◽  
D Dimer

Background: The pandemic of COVID-19, a disease caused by novel coronavirus SARS-CoV-2, is associated with significant morbidity and mortality. Recent data showed that hypertension, diabetes mellitus, cardiovascular diseases, and chronic obstructive pulmonary disease were the most prevalent comorbidities in COVID-19 patients. Additionally, data indicate that hypertension, diabetes and cardiovascular diseases are important risk factors for progression and unfavourable outcome in COVID-19 patients. Poorly controlled Type 2 diabetes mellitus was associated with severe progression of disease. Hence, large studies with comprehensive analysis of all risk factors and longer follow-up are necessary. Methods and analysis: A single-centre retrospective cross-sectional study of 300 patients that were SARS-CoV-2 positive from May to October 2020 was done. Data was entered into Microsoft excel data sheet and was analysed using SPSS 22 version software. Chi-square test or Fischer’s exact test (for 2x2 tables only) was used as test of significance for qualitative data. Independent t test was used as test of significance to identify the mean difference between two quantitative variables. ANOVA (Analysis of Variance) was used as test of significance to identify the mean difference between more than two quantitative variables. P value (Probability that the result is true) of <0.05 was considered as statistically significant after assuming all the rules of statistical tests. Data collected was analyzed in a group of patients who were sub divided into 2 groups diabetics and Non diabetics. The parameters studied included laboratory markers: D dimer, CRP, Lactate Dehydrogenase, Ferritin levels. To assess the glycemic control HbA1C levels were assessed. The outcome parameters considered were Oxygen requirement, assessing the requirement of intensive care and duration of stay in the hospital Conclusion: The patients with higher HbA1c values were found to have higher CRP and D-dimer values and required ICU shift and prolonged hospital stay. Hence, good control of diabetes will reduce the worsening of disease. In a country like India, where most of the population do not have health insurance cover proper control of diabetes, can reduce the burden on family. Hence, large studies with comprehensive analysis of all risk factors and longer follow-up are necessary.

scholarly journals Ocular Risk Factors in the Primary Formation of Diabetic Macular Edema in Patients with Type 2 Diabetes Mellitus

2019 ◽  
Vol 16 (2) ◽  
pp. 225-229
Author(s):  
M. V. Pshenichnov ◽  
O. V. Kolenko ◽  
E. L. Sorokin ◽  
Ya. E. Pashentcev
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Macular Edema ◽  
Comparison Group ◽  
Mean Value ◽  
Main Group ◽  
The Mean

Purpose. Revealing of the ocular risk factors in the formation of diabetic macular edema (ME) in type 2 diabetes mellitus (DM2).Patients and methods. A 3.5-year research of 80 patients (160 eyes) with DM2 without signs of ME at the beginning of the research was performed. The main group consisted of 46 patients with ME symptoms on one or both eyes during the research period, the comparison group included 34 patients without ME symptoms to the end of the research. The initial ocular characteristics were retrospect compared in groups.Results. The mean value of the axial lengths (AL) in the eyes of the main group was 23.12 ± 0.75 mm compared to 23.82 ± 0.62 mm in the comparison group (significant difference, p < 0.01). AL was less than 23.5 mm in 66 % of the eyes in the main group and only in 22 % of the eyes in the comparison group (p < 0.01). The mean value of the initial macular retina volume in the main group was significantly higher than in the comparison group — 7.51 ± 0.22 mm3 and 7.21 ± 0.12 mm3, respectively (p < 0.01). Initial background diabetic retinopathy (DR) was noted in 73 % of the eyes in the main group, which significantly differed from the comparison group, where this index was noted only in 13 % of the eyes (p < 0.01).Conclusion. Significant ocular risk factors for the formation of ME in patients with DM2 are: the initial macular retina volume more than 7.3 mm3, the value of the AL less than 23.5 mm; the initial background DR. The use of the detected morphometric parameters of eye and retina in combination with an adequate assessment of the risk factors in human organism makes it possible to assume with high degree of probability a high risk of the primary formation of diabetic ME in patients with DM2. 

scholarly journals Perkembangan Diabetes Melitus Tipe 2 dari Prediabetes di Bogor, Jawa Barat

2018 ◽  
pp. 59-69 ◽  
Author(s):  
Eva Sulistiowati ◽  
Marice Sihombing
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Plasma Glucose ◽  
Central Obesity ◽  
Fasting Glucose ◽  
Diabetes Melitus

Abstrak Prediabetes merupakan kondisi gula darah puasa 100-125mg/dL (Impaired Fasting Glucose/IFG) atau kadar gula darah 2 jam setelah pembebanan 75 g glukosa 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes meningkatkan risiko terjadinya Diabetes Mellitus tipe 2 (DM tipe 2). Tujuan analisis ini untuk mengetahui terjadinya DM Tipe 2 pada responden dengan prediabetes dalam follow-up 2 tahun. Prospektif studi dalam 2 tahun pada 3344 responden Studi Kohor Faktor Risiko PTM non-DM tipe 2. Data yang dikumpulkan meliputi wawancara, pemeriksaan fisik (BB, TB, lingkar perut, tekanan darah), dan laboratorium (GDP, GDPP, Kolesterol total, HDL, LDL, Trigliserida). Kadar glukosa darah untuk DM Tipe 2 dan prediabetes mengacu pada kriteria ADA 2011. Analisis deskriptif tentang karakteristik, life tabel perkembangan DM Tipe 2 dari prediabetes. Prediabetes yang terjadi sebesar 24,6% (IFG 2,3%; IGT 19,2% dan mix IFG/IGT 2,8%) dan 13,4% mengalami DM tipe 2 dalam kurun waktu 2 tahun. Progresivitas terjadinya DM dari IFG, IGT dan mix TGTmasing-masing 6,21; 6,12 dan 14,6 per 100 orang per tahun. Faktor risiko yang mempengaruhi terjadinya DM tipe 2 antara lain: umur (40-54 tahun RR=1,97; CI 95%:1,02-3,82), 55-65 tahun (RR=2,74; CI 95%: 1,34-5,58), obesitas sentral (RR=4,42; CI 95%: 2,36-8,29), hipertensi (RR= 1,99; CI 95%: 1,29-3,06) dan hipertrigliserida (RR=1,83; CI 95%: 1,18-2,83). Proporsi prediabetes dan terjadinya DM tipe 2 di Bogor Tengah dalam pengamatan 2 tahun, meningkat dengan bertambahnya umur dan dipengaruhi oleh obesitas sentral, hipertensi, hipertrigliserida. Pengendalian faktor risiko dan pemeriksaan gula darah secara rutin dapat mencegah terjadinya DM tipe 2. Perlu ditunjang dengan posbindu PTM aktif di masyarakat, lingkungan kerja maupun sekolah. Kata kunci: Prediabetes, Diabetes Melitus tipe 2 (DM tipe 2), Bogor Tengah Abstract Prediabetes is a condition that fasting plasma glucose 100-125 mg/dL (Impaired Fasting Glucose/IFG) or blood glucose 2 hours after loading 75 g glucose 140-199 mg/dL (Impaired Glucose Tolerance/IGT). Prediabetes increases the risk of type 2 Diabetes Mellitus (T2DM). This analysis is to determine the progression rate to T2DM in prediabetes respondents during 2 years follow up. This is an two years prospective study in 3344 respondents Cohort Study of Risk Factors NCD without T2DM. The data collected included interviews, physical examination (body weight, height, abdominal circumference, blood pressure), and laboratory (fasting plasma glucose/FPG, plasma glucose 2 hours after loading 75 g glucose, total cholesterol, HDL, LDL, triglycerides). Blood glucose levels for DM and prediabetes refers to ADA criteria 2011. Data analisized by descriptive about characteristics, life table of T2DM development from prediabetes. Prediabetes occurred at 24.6% (IFG 2.3%, IGT 19.2% and mix IFG / IGT 2.8%) and 13.4% experienced type 2 diabetes within 2 years. The progression of DM from IFG, IGT and mix TGT is 6.21; 6.12 and 14,6 per 100 person per year respectively. The risk factors of T2DM are age (40-54 years old (RR=1,97; CI 95%:1,02-3,82), 55-65 years old (RR=2,74; CI 95%:1,34-5,58), central obesity (RR=4,42; CI 95%:2,36-8,29), hypertension (RR=1,99; CI 95%:1,29-3,06) and hypertriglyceride (RR=1,83; CI 95%:1,18-2,83). The proportion of prediabetes and progression T2DM in Central Bogor at 2 years follow up is quite high, increasing with age and influenced by central obesity, hypertension and hypertriglyceride. Controlling risk factors and checking blood glucose regularly can prevent T2DM. Need to be supported by posbindu PTM active in the community, work environment and school. Keywords: Prediabetes, type 2 Diabetes Mellitus (T2DM), Central Bogor

scholarly journals Aortic plaques in patients with atrial fibrillation: an often-forgotten risk factor for thromboembolism

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A.F Esteves ◽  
L Parreira ◽  
M Fonseca ◽  
J.M Farinha ◽  
J Ferreira ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Atrial Fibrillation ◽  
Type 2 Diabetes ◽  
P Value ◽  
Af Ablation ◽  
Aortic Plaques ◽  
Af Recurrence

Abstract Background CHA2DS2-VASc risk score is the main determinant for maintaining anticoagulation after atrial fibrillation (AF) ablation, irrespective of the procedure outcome. The presence of aortic plaques is included in the score, but isn't regularly assessed previously to AF ablation. This way, risk factors for coronary artery disease (CAD) other than arterial hypertension and diabetes mellitus may influence stroke risk in patients with AF, albeit not being included in the CHA2DS2-VASc score. Purpose We sought to evaluate the prevalence of aortic plaques diagnosed during transesophageal echocardiography (TOE) in patients submitted to AF ablation and to assess its determinants and clinical impact on the CHA2DS2-VASc score. Methods Retrospective study of patients submitted to AF ablation that performed TOE prior to the procedure, with assessment of aortic plaques. CHA2DS2-VASc risk score was evaluated in the pre-ablation patient evaluation and reassessed after TOE. Demographic, clinical and echocardiographic data, including cardiovascular risk factors, were analyzed. We assessed AF recurrence rate, cerebrovascular events and death during follow-up. Results 120 patients were submitted to TOE prior to AF ablation from November 2015 to December 2020, mean age 66.6 (±9.55) years, 48% male. In 30 (25%) patients aortic plaques were identified in TOE. Mean CHA2DS2-VASc was 2.2 (±1.47) in pre-ablation evaluation and 2.5 (±1.69) post-TOE, increasing in all patients with aortic plaques and prompting beginning of oral anticoagulation in 5 patients. AF was paroxysmal in 74% and persistent in 26% of patients, mean duration of 6.28 (±3.76) years. Arterial hypertension was present in 79 (66%) of patients, type 2 diabetes mellitus in 24 (20%) and dyslipidemia in 67 (56%). 17 (14%) patients had a prior stroke. During a mean follow-up of 30 (±18.3) months, 32 (27%) patients had AF recurrence and 10 (8%) were submitted to redo procedures. 107 (89%) patients remained under oral anticoagulation, stroke occurred in 1 patient and 2 patients died. In univariate analysis, age, type 2 diabetes mellitus and dyslipidemia predicted an increase in CHA2DS2-VASc score after TOE (respectively, OR 1.113, 95% CI 1.041–1.190, p-value 0.002; OR 2.907, 95% CI 1.145–7.379, p-value 0.025; and OR 2.442, 95% CI 1.016–5.868, p-value 0.046). In multivariate analysis, age is the only independent predictor of increased CHA2DS2-VASc score after TOE (OR 1.095, 95% CI 1.013–1.185, p-value 0.023). No risk factor for CAD was independently associated with the presence of aortic plaques (Table 1). Conclusion In this population, single CAD risk factors were not independent predictors of aortic plaques. If TOE had not been performed prior to AF ablation, 25% of patients would have had an underestimated CHA2DS2-VASc score and would be off anticoagulation after the procedure, unprotected from thromboembolic events. FUNDunding Acknowledgement Type of funding sources: None. Table 1

scholarly journals Prognostic Value of Secreted Frizzled-Related Protein 5 in Heart Failure Patients With and Without Type 2 Diabetes Mellitus

2020 ◽  
Vol 13 (9) ◽  
Author(s):  
Jiandi Wu ◽  
Haoxiao Zheng ◽  
Xinyue Liu ◽  
Peisong Chen ◽  
Yunlong Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Heart Failure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Prognostic Value ◽  
Primary Outcome ◽  
Related Protein

Background: Patients with heart failure (HF) with diabetes mellitus have distinct biomarker profiles compared with those without diabetes mellitus. SFRP5 (secreted frizzled-related protein 5) is an anti-inflammatory adipokine with an important suppressing role on the development of type 2 diabetes mellitus (T2DM). This study aimed to evaluate the prognostic value of SFRP5 in patients with HF with and without T2DM. Methods: The study included 833 consecutive patients with HF, 312 (37.5%) of whom had T2DM. Blood samples were collected at presentation, and SFRP5 levels were measured. The primary outcome was the composite end points of first occurrence of HF rehospitalization or all-cause mortality during follow-up. Results: During median follow-up of 2.1 years, 335 (40.2%) patients in the cohort experienced the composite primary outcome. After adjustment for multiple risk factors, each doubling of SFRP5 level was associated with a 21% decreased risk of primary outcomes in the overall study population ( P <0.001). Subgroup analyses showed that the association between level of SFPR5 and primary outcomes may be stronger in patients with T2DM (hazard ratio, 0.69 [95% CI, 0.61–0.79]) than in patients without T2DM (hazard ratio, 0.89 [95% CI, 0.79–1.01]; interaction P =0.006). Similar associations were observed when taking SFRP5 as a categorical variable. Addition of SFRP5 significantly improved discrimination and reclassification of the incident primary outcomes beyond clinical risk factors and N-terminal pro-B-type natriuretic peptide in all patients with HF and those with T2DM (all P <0.01). Conclusions: SFRP5 is an independent novel biomarker for risk stratification in HF, especially in HF with T2DM.

scholarly journals A Follow-up Study on BMI-SDS and Insulin Resistance in Overweight and Obese Children at Risk for Type 2 Diabetes Mellitus

2015 ◽  
Vol 2 ◽  
pp. 2333794X1456845 ◽  
Author(s):  
Soulmaz Fazeli Farsani ◽  
Marloes P. van der Aa ◽  
Catherijne A. J. Knibbe ◽  
Anthonius de Boer ◽  
Marja M. J. van der Vorst
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
At Risk ◽  
Type 2 Diabetes Mellitus ◽  
Model Assessment ◽  
Children At Risk ◽  
The Mean

Objectives. To evaluate body mass index standard deviation score (BMI-SDS), insulin sensitivity, and progression to type 2 diabetes mellitus (T2DM) in children at risk for T2DM approximately 3 years after being diagnosed with overweight/obesity and insulin resistance (measured by Homeostasis Model Assessment of Insulin Resistance [HOMA-IR]). Methods. Out of 86 invited children, 44 (mean age 15.4 ± 3.6 years) participated. Medical history, physical examination, and laboratory workup were performed. Results. While the mean BMI-SDS significantly increased from 2.9 to 3.4, the mean HOMA-IR significantly decreased from 5.5 to 4.6 (baseline vs follow-up visit). Change in HOMA-IR was only due to a decrease in mean fasting plasma insulin (24.1 vs 21.1, P = .073). Conclusions. Although increase in BMI-SDS in these children is worrisome, the American Diabetes Association recommended screening interval of 3 years for children at risk for T2DM is not too long based on the fact that none of our study participants developed T2DM.

scholarly journals CONTROL OF GLYCEMIA AND CARDIOVASCULAR RISK FACTORS IN PATIENTS WITH TYPE 2 DIABETES IN PRIMARY CARE IN MONTENEGRO

2018 ◽  
pp. 016
Author(s):  
Milena M. Cojić ◽  
Ljiljana Cvejanov-Kezunović ◽  
Jelena Stanković ◽  
Nebojša Kavarić ◽  
Maja Koraćević ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Diabetic Patients ◽  
The Mean

Some observational studies have shown that only a small number of diabetic patients achieve optimum control of glycaemia and cardiovascular risk factors. The aim of this study was to analyze whether patients with type 2 diabetes mellitus treated in primary care achieve adequate control of glycemic levels and cardiovascular risk factors. This was a retrospective, record-based, cross-sectional study that included eligible patients from 35 to 90 years old with type 2 diabetes mellitus treated in Primary Health Care Center in Podgorica. We investigated electronic records of 531 diabetic patients. The observed prevalence of type 2 diabetes mellitus among individuals between ages 35 and 90 years, was 11,84 %. Half of the patients were female. The mean age was 65,88±9,86 years. The mean value of HbA1c was 7,56±1,71. Fifty-nine percents of patients achieved optimal levels of HbA1c ≤ 7 %. Also, more than half of patients achieved target levels of blood pressure while 27.9% achieved LDL ≤ 2.6 mmol/L. Fifty percent of patients were non-smokers and 45.1 % were obese. Among patients on primary prevention only 5.7 % had met all target levels while on secondary prevention that number was even smaller 3.7 %. Our study showed that control of HbA1c and blood pressure was similar to other studies but reaching target levels of LDL was challenging for our patients. Further analysis are needed in order to discover the reasons for poor control of certain CVRF and to develop strategies for its optimal management.

scholarly journals Incidence and prognostic factors for the development of symptomatic and asymptomatic marginal ulcers after Roux-en-Y gastric bypass procedures

2021 ◽  
Vol 108 (Supplement_4) ◽  
Author(s):  
J Süsstrunk ◽  
L Wartmann ◽  
D Mattiello ◽  
T Köstler ◽  
U Zingg
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Gastric Bypass ◽  
Type 2 Diabetes Mellitus ◽  
Median Time ◽  
Upper Endoscopy ◽  
Independent Risk Factors

Abstract Objective Marginal ulcer (MU) is a serious complication after Roux-en-Y gastric bypass (RYGB) procedures. This study reports the incidence, risk factors and treatment outcomes of symptomatic and incidentally, at routine endoscopy diagnosed, MU. Methods All patients undergoing RYGB procedures between 2013 and 2018 at a single center were included. Upper endoscopy was performed in case of symptoms and/or routinely 2 and 5 years postoperatively. Results 568 patients (83.3% female) underwent RYGB procedure with a median age of 40 years and median initial body mass index of 41 kg/m2. Median time to follow-up was 2.99 years. Routine 2- and 5-year upper endoscopy was performed in 256 (55.3%) and 65 (38.0%) eligible patients, respectively. In 86 (15.1%) patients, MU was diagnosed at a median time of 14.2 months (4.58 – 26.2) postoperatively and 24.4% of patients with MU were asymptomatic. 76.7% of MUs were located on the side of the Roux-limb. 88.4% of MUs were treated conservatively; re-operation was necessary in 10 (11.6%) patients. Smoking and type 2 diabetes mellitus were the only independent risk factors for MU development in multivariate analysis with a hazard ratio of 2.65 and 1.18 (HbA1c per unit &gt;6.0), respectively. Conclusion MU is a common complication after gastric bypass surgery with 25% of patients being asymptomatic. Follow-up routine endoscopy is recommended for early MU detection and subsequent accurate therapy, especially in patients with the independent risk factors smoking and type 2 diabetes mellitus.

Abstract P130: Risk Factors for Progression to Type 2 Diabetes Mellitus From Prediabetes

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Margareta Hellgren ◽  
Ulf Lindblad ◽  
Bledar Daka
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Family History ◽  
Glucose Tolerance

Background and Aims: Individuals with prediabetes, impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT), have approximately 50% risk to develop type 2 diabetes mellitus (T2DM) within ten years. This paper examines risk factors for development of T2DM in individuals with prediabetes. Materials and Methods: A total of 2816 individuals were randomly selected and completed a careful physical examination and an oral glucose tolerance test. IFG and IGT was defined according to WHO. A representative sample of 1327 individuals were re-examined in a follow-up study after ten years. This study focuses on the participants who were diagnosed with prediabetes, IFG (n=67) and/or IGT (n=89) at baseline and who were re-examined at follow-up. Insulin resistance was estimated by HOMA-ir (Homeostatic Model Assessment for Insulin Resistance). Differences between the participants with prediabetes who developed T2DM and those who did not, were analyzed with general linear models and adjusted for age, sex and BMI. The risk to progress to T2DM in ten years was explored using binary logistic regression, adding the risk-factors one after another. Results: Of the 156 individuals with prediabetes 28% progressed to T2DM. Individuals who developed T2DM had higher BMI (α=3.2kg/m 2 , P<0.001), higher HbA1c (α=0.2 mmol/mol, P=0.047), higher C-reactive protein (α=3.3 mmol/L, P=0.040) and also significantly higher HOMAir (α=2.8, P<0.001) at base-line. The risk to develop T2DM increased in a step-wise manner in individuals with prediabetes when successively adding the risk-factors. Having a BMI ≥30kg/m 2 , a known family history for T2DM, HbA1c ≥37mmol/mol, HOMAir ≥2.8 and a low level of physical activity increased the risk to develop T2DM 5.6 times. Table 1. Conclusion: In individuals with prediabetes, those with additional risk-factors like obesity, HbA1c and HOMAir above mean values, family history for T2DM and a low level of physical activity require extra attention and intensive lifestyle interventions should be initiated.

Abstract 008: Risk Factors for Type 2 Diabetes Mellitus Preceded by β-cell Dysfunction, Insulin Resistance, or Both: The Cardiovascular Health Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Fumiaki Imamura ◽  
Kenneth J Mukamal ◽  
James B Meigs ◽  
Jose A Luchsinger ◽  
Joachim H Ix ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Fasting Glucose ◽  
Β Cell ◽  
Cell Dysfunction

Background: Type 2 diabetes mellitus (DM) results from insulin resistance (IR), pancreatic β-cell dysfunction, or both. We hypothesized that risk factors could differ for DM preceded predominantly by IR, β-cell dysfunction, or both. This hypothesis is particularly important for older adults, in whom β-cell dysfunction may be relatively common. Methods: During 18 years of follow-up among 3,899 older adults free of DM (mean±sd age =73.0±5.8), we identified 274 incident DM cases by DM medication use, fasting glucose (≥126 mg/dL), or 2-hour post-challenge glucose (≥200 mg/dL), for whom homeostatic model assessments for IR (HOMA-IR) and β-cell function (HOMA-B) were assessed after baseline and before DM diagnosis. Using median cutoffs of the follow-up HOMA-IR and HOMA-B, we subclassified incident DM into DM preceded by IR only (n=112), β-cell dysfunction only (n=70), or both (n=77). Using multivariate competing-risk Cox models, we tested whether DM risk factors were differentially associated with risk of each DM subclass. Results: Elevated triglyceride levels (≥150 mg/dL) and impaired fasting glucose (100-125 mg/dL) were each positively associated with DM, irrespective of the DM subclass. Other DM risk factors of older age, overweight, obesity, low HDL cholesterol, and hypertension had substantially varying relationships with risk of different DM subclasses (p<0.001 for the variations). For example, overweight (BMI=25-29.9 kg/m2) and obesity (BMI≥30 kg/m2) were each positively associated with DM preceded by IR only (hazard ratio [95% CI]= 2.21 [1.25-3.92] and 5.02 [2.81-9.00], respectively), but with a significant inverse association with DM preceded by β-cell dysfunction only (0.61 [0.37-1.00] and 0.33 [0.14-0.80], respectively) (Figure). Conclusions: Among older adults, some DM risk factors differ substantially depending on HOMA-IR or HOMA-B subclassification. These findings support our hypothesis of heterogeneity in incident DM, especially among older adults.

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