Increased risk of type 2 diabetes in patients with thyroid cancer after thyroidectomy: A nationwide cohort study

2021 ◽  
Author(s):  
Eun Roh ◽  
Eunjin Noh ◽  
Soon Young Hwang ◽  
Jung A Kim ◽  
Eyun Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Thyroid Cancer ◽  
Cancer Patients ◽  
Reference Group ◽  
Increased Risk ◽  
Quartile Group

Abstract Context Abnormal thyroid function after thyroidectomy and subsequent thyroid-stimulating hormone suppression can have detrimental effects on glucose homeostasis in thyroid cancer patients. Objective To investigate whether thyroidectomy increases the risk of type 2 diabetes in thyroid cancer patients and to explore the association between levothyroxine dosage and type 2 diabetes risk. Design A retrospective population-based cohort study. Setting The Korean National Health Insurance database. Participants We included 36,377 thyroid cancer patients without known diabetes who underwent thyroidectomy between 2004 and 2013. Matched non-thyroid cancer subjects were selected using 1:1 propensity score matching. Main Outcome Measure Newly developed type 2 diabetes mellitus. Results Thyroid cancer patients who underwent thyroidectomy had a higher risk of developing type 2 diabetes mellitus than the matched controls (hazard ratio [HR]: 1.43, 95% confidence interval [CI]: 1.39–1.47). Among thyroid cancer patients, when the second quartile group (in terms of the mean levothyroxine dosage; 101–127 μg/day) was considered the reference group, the risk of type 2 diabetes mellitus increased in the first quartile (<101 μg/day; HR: 1.45, 95% CI: 1.36–1.54) and fourth quartile groups (≥150 μg/day; HR: 1.37, 95% CI: 1.29–1.45); meanwhile, the risk decreased in the third quartile group (128–149 μg/day; HR: 0.91, 95% CI: 0.85–0.97). Conclusion Thyroid cancer patients who underwent thyroidectomy were more likely to develop type 2 diabetes mellitus than the matched controls. There was a U-shaped dose-dependent relationship between the levothyroxine dosage and type 2 diabetes mellitus risk.

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 High Bodyweight Variability Increases Depression Risk in Patients With Type 2 Diabetes Mellitus: A Nationwide Cohort Study in Korea

2021 ◽  
Vol 12 ◽  
Author(s):  
Ji Hyun An ◽  
Kyung-do Han ◽  
Jin-Hyung Jung ◽  
Juhwan Yoo ◽  
Maurizio Fava ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Body Weight ◽  
Obese Patients ◽  
Type 2 Dm ◽  
Increased Risk ◽  
Quartile Group ◽  
New Onset

Objectives: Although obesity is associated with increased risk for depression in patients with type 2 diabetes mellitus (DM), the relationship between body weight variability (BWV) and depression remains poorly studied. This study was to investigate the incidence of depression in patients with type 2 DM according to their BWV.Methods: Intraindividual variation in body weight were measured in the nationwide, population-based retrospective cohort of 540,293 patients with type 2 DM from the Korean national health insurance system between 2009 and 2010. The diagnoses of new-onset depression occurring until the end of 2017 were ascertained. Risk of new-onset depression was examined using multivariate-adjusted Cox proportional hazards regression analysis by BWV quartile.Results: 93,149 (17.2%) patients developed new-onset depression for the follow up. BWV was significantly associated with an increased risk of depression after adjusting for confounding factors. The highest BWV quartile group had a hazard ratio (HR) of 1.17 (95% CI 1.15–1.19) compared to the lowest BWV quartile group as a reference. Obese patients in the highest BWV quartile group showed 12% increased risk of depression (HR 1.12, 95% CI 1.09–1.15) while non-obese patients in the highest BWV quartile group showed 20% increased risk of depression (HR: 1.20, 95% CI: 1.17–1.23) compared to their respective lowest BWV quartile groups.Conclusion: A higher BWV was significantly associated with an increased risk of depression in patients with type 2 DM. Thus, BWV may serve as an indicator for early detection of depression in type 2 DM patients.

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 Cholesterol levels and development of cardiovascular disease in Koreans with type 2 diabetes mellitus and without pre-existing cardiovascular disease

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Mee Kyoung Kim ◽  
Kyungdo Han ◽  
Han Na Joung ◽  
Ki-Hyun Baek ◽  
Ki-Ho Song ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Type 2 Diabetes Mellitus ◽  
Cox Regression ◽  
Reference Group ◽  
Density Lipoprotein ◽  
Type 2 Dm ◽  
Increased Risk

Abstract Background The aim of the present study was to identify a threshold for the cholesterol level at which the risk of cardiovascular disease (CVD) begins to increase in people with type 2 diabetes mellitus (DM). Methods Using the Korean National Health Insurance Service database, 2,077,135 people aged ≥ 40 years with type 2 DM who underwent regular health checks between 2009 and 2012 were included. Subjects with previous CVD were excluded. Cox regression analyses were performed to estimate the risk of CVD for each low-density lipoprotein cholesterol (LDL-C) group using the < 70 mg/dL as the reference group. Results There were 78,560 cases of stroke (3.91%), and 50,791 myocardial infarction (MI, 2.53%) during a median follow-up of 7.1 years. Among participants not taking statins, LDL-C levels of 130–159 mg/dL and ≥ 160 mg/dL were significantly associated with the risk of MI: the hazard ratios (HRs) (95% confidence interval) were 1.19 (1.14–1.25) and 1.53 (1.46–1.62), respectively. Among participants taking statins, all categories of LDL-C level ≥ 70 mg/dL were significantly associated with increased risk of stroke and MI. Conclusions We identified an increased risk of CVD in people with an LDL-C level ≥ 130 mg/dL among individuals with type 2 DM not taking statins. The risk of CVD was significantly higher in those taking statins with an LDL-C level ≥ 70 mg/dL.

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.

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