scholarly journals Hypoglycaemia is associated with increased risk of fractures in patients with type 2 diabetes mellitus: a cohort study

2019 ◽  
Vol 180 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Antiopi Ntouva ◽  
Konstantinos A Toulis ◽  
Deepikshana Keerthy ◽  
Nicola J Adderley ◽  
Wasim Hanif ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Factor ◽  
Cohort Study ◽  
Secondary Outcome ◽  
Health Improvement ◽  
Hypoglycaemic Event ◽  
Increased Risk

Objective Type 2 diabetes is associated with an increased risk of fracture. Any factor that incrementally increases this risk should be taken into account when individualising treatment. Hypoglycaemia is a common complication of antidiabetes medications and suggested as a risk factor for fractures; yet, its real-life clinical impact is unclear. Design A population-based, retrospective open cohort study using routinely collected data between 1st of January 1995 and 1st of May 2016 in The Health Improvement Network (THIN) database. Methods Patients with type 2 diabetes mellitus with documented hypoglycaemic events were compared to randomly matched patients with type 2 diabetes mellitus without documented hypoglycaemic events matched to exposed patients on age, sex, duration of diabetes and BMI. The primary outcome was any incident fracture. Secondary outcome was incident fragility (osteoporotic) fracture. Results A total of 41 163 patients with type 2 diabetes were included: 14 147 patients in the exposed cohort and 27 016 patients in the unexposed cohort. Patients with a documented hypoglycaemic event were significantly more likely to sustain any fracture compared to patients with no record of hypoglycaemic events: adjusted IRR = 1.20 (95% CI: 1.12–1.30; P < 0.0001). Patients who had a documented hypoglycaemic event were significantly more likely to suffer a fragility fracture compared to controls: adjusted IRR = 1.24 (95% CI: 1.13–1.37; P < 0.0001). Conclusions Hypoglycaemic events are a significant risk factor for fractures in patients with diabetes mellitus. This observation is clinically relevant when individualising targets for glycaemic control and selecting antidiabetic agents.

scholarly journals Snoring frequency and risk of type 2 diabetes mellitus: a prospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e042469
Author(s):  
Ningbin Dai ◽  
Qianwen Shi ◽  
Yujie Hua ◽  
Yu Guo ◽  
Zheng Bian ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Interaction Effect ◽  
Chinese Population ◽  
Cox Regression ◽  
Baseline Survey ◽  
Increased Risk

ObjectiveTo evaluate the association between snoring frequency and type 2 diabetes mellitus (T2DM) according to age and gender in Chinese population.DesignA cohort study was performed in Suzhou site of the China Kadoorie Biobank. Residents who didn’t suffer from T2DM at baseline survey (2004–2008) and in half a year after baseline were enrolled in this study and followed cause-specific morbidity until 31 December 2013. All participants were requested to complete a detailed questionnaire and undergo anthropometric measurements. Cox regression models were used to estimate HRs and 95% CIs for the snoring and T2DM association.SettingWuzhong district, Suzhou, China.ParticipantsA total of 49 453 participants (men: 41.8%; mean age: 51.14±10.28 years) were enrolled in this study.Outcome measuresT2DM cases were defined as International Classification of Diseases 10th Revision code of E11 and were identified through disease registries and health insurance databases.ResultsDuring a media of 7.18 years follow-up, 1120 T2DM cases were identified. Higher T2DM incidence was observed in participants with frequent and occasional snoring compared with those without (4.80 and 2.87 vs 2.39 per 1000 person-years). The multivariable-adjusted model found snoring was independently associated with T2DM (HR 1.28, 95% CI 1.20 to 1.38), both in men (HR 1.25, 95% CI 1.10 to 1.41) and women (HR 1.28, 95% CI 1.17 to 1.39). Moreover, a significant multiplicative interaction effect between snoring and age was detected on T2DM risk (p=0.015).ConclusionsSnoring was independently associated with an increased risk of T2DM in Chinese population, both in men and women. Meanwhile, there was an interaction effect between snoring and age on T2DM risk.

scholarly journals Overweight and obese but not normal weight women with PCOS are at increased risk of Type 2 diabetes mellitus—a prospective population-based cohort study

2017 ◽  
Vol 32 (4) ◽  
pp. 968-968 ◽  
Author(s):  
M.M. Ollila ◽  
S. West ◽  
S. Keinänen-Kiukaaniemi ◽  
J. Jokelainen ◽  
J. Auvinen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Population Based ◽  
Normal Weight ◽  
Increased Risk

scholarly journals Dipstick proteinuria and risk of type 2 diabetes mellitus: a nationwide population-based cohort study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jimin Jeon ◽  
Jinkwon Kim
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Significant Risk ◽  
Health Screening ◽  
Increased Risk ◽  
New Onset

Abstract Background Proteinuria has been recognized as a marker of systemic inflammation and endothelial dysfunction associated with insulin resistance and β-cell impairment, which can contribute to the development of type 2 diabetes mellitus (T2DM). However, it is unknown whether the dipstick proteinuria test has a predictive value for new-onset T2DM. Methods This retrospective cohort study analyzed 239,287 non-diabetic participants who participated in the Korean nationwide health screening program in 2009–2010. Proteinuria was determined by the urine dipstick test at the baseline health screening. We performed multivariate Cox proportional regression analyses for the development of new-onset T2DM. Follow-up was performed until December 2015. Results During the mean follow-up period of 5.73 years, 22,215 participants were diagnosed with new-onset T2DM. The presence of proteinuria was significantly associated with an increased risk of T2DM (adjusted hazard ratio: 1.19, 95% confidence interval: 1.10, 1.29). There was a positive dose–response relationship between the degree of dipstick proteinuria and T2DM risk. This significant association between proteinuria and T2DM risk was consistent regardless of the fasting glucose level at baseline. Conclusions Dipstick proteinuria is a significant risk factor for new-onset T2DM. Therefore, proteinuria might be a useful biomarker to identify those at a high risk for developing T2DM.

scholarly journals Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kun Wang ◽  
Qun-Fang Yang ◽  
Xing-Lin Chen ◽  
Yu-Wei Liu ◽  
Sheng-Shuai Shan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Prediction Model ◽  
Predictive Value ◽  
Mainland Chinese ◽  
Increased Risk

Introduction. It has well established that metabolic syndrome (MetS) can predict the risk of type 2 diabetes mellitus (T2DM) in some population groups. However, limited evidence is available regarding the predictive effect of MetS for incident T2DM in mainland Chinese population. Methods. A 3-year cohort study was performed for 9735 Chinese without diabetes at baseline. MetS and its components were assessed by multivariable analysis using Cox regression. Prediction models were developed. Discrimination was assessed with area under the receiver operating characteristic curves (AUCs), and performance was assessed by a calibration curve. Results. The 3-year cumulative incidence of T2DM was 11.29%. Baseline MetS was associated with an increased risk of T2DM after adjusting for age (HR = 2.68, 95% CI, 2.27–3.17 in males; HR = 2.59, 95% CI, 1.83–3.65 in females). Baseline MetS exhibited relatively high specificity (88% in males, 94% in females) and high negative predictive value (90% in males, 94% in females) but low sensitivity (36% in males, 23% in females) and low positive predictive value (31% in males and females) for predicting the 3-year risk of T2DM. AUCs, including age and components of MetS, for the prediction model were 0.779 (95% CI: 0.759–0.799) in males and 0.860 (95% CI: 0.836–0.883) in females. Calibration curves revealed good agreement between prediction and observation results in males; however, the model could overestimate the risk when the predicted probability is >40% in females. Conclusions. MetS predicts the risk of T2DM. The quantitative MetS-based prediction model for T2DM risk may improve preventive strategies for T2DM and present considerable public health benefits for the people in mainland China.

Poor structural social support is associated with an increased risk of Type 2 diabetes mellitus: findings from the MONICA/KORA Augsburg cohort study

2015 ◽  
Vol 33 (1) ◽  
pp. 47-54 ◽  
Author(s):  
J. Altevers ◽  
K. Lukaschek ◽  
J. Baumert ◽  
J. Kruse ◽  
C. Meisinger ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Social Support ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Increased Risk
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