Risk of end-stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome

Elevated triglyceride-glucose index is a risk factor for cardiovascular events in adults with type 1 diabetes: a cohort study

BACKGROUND

The triglyceride-glucose (TyG) index is recognized as an indicator of insulin resistance and is linked to cardiovascular disease (CVD) in patients with type 2 diabetes. However, its utility in patients with Type 1 diabetes (T1DM) has not been studied.

METHODS

In this nationwide cohort study, we enrolled 14,543 patients with T1DM between 2009 and 2015, with a median follow-up duration of 7.52 years. The primary outcome was the incidence of CVD, including myocardial infarction, ischemic stroke, and heart failure. The secondary outcome was the all-cause mortality. The risk of CVD across the TyG index quartiles was compared using the Cox proportional hazards model.

RESULTS

The cut-off points for the TyG quartiles were 8.46, 9.03, and 9.60. Patients in the highest TyG quartile exhibited a higher burden of cardiometabolic risk factors, including obesity, hypertension, dyslipidemia, and lower HDL cholesterol levels. Compared to the lowest quartile, the highest TyG quartile group showed a significantly increased risk of CVD (Composite CVD: adjusted hazard ratio [aHR] = 1.80; 95% confidence interval [CI] = 1.62-2.00, myocardial infarction: aHR = 1.70;95% CI = 1.38-2.10, ischemic stroke: aHR = 2.11; 95% CI = 1.78-2.50, heart failure: aHR = 1.65, 95% CI = 1.45-1.88) and all-cause mortality (aHR = 1.60, 95% CI = 1.41-1.81).

CONCLUSIONS

A higher TyG index was significantly associated with an increased risk of CVD and all-cause mortality in patients with T1DM.

RESEARCH INSIGHTS

What is currently known about this topic? 1. The TyG index is associated with insulin resistance and cardiovascular disease in both patients with type 2 diabetes and the general population. What is the key research question? 1. Could the TyG index also be utilized to assess insulin resistance and cardiovascular disease risk in patients with type 1 diabetes? What is new? 1. In patients with type 1 diabetes, those in the higher TyG quartile showed a higher prevalence of metabolic dysfunction such as obesity, hypertension and dyslipidemia. 2. A higher TyG index in patients with type 1 diabetes was associated with an increased risk of all-cause mortality and cardiovascular disease including myocardial infarction, heart failure and stroke. How might this study influence clinical practice? 1. The TyG index, a simple and non-invasive marker composed of triglycerides and fasting glucose, could be used to identify patients with type 1 diabetes who have high insulin resistance and cardiovascular disease risk.

Prevalence and clinical characteristics of chronic kidney disease among patients with newly diagnosed ketosis-onset diabetes

BACKGROUND

The prevalence and clinical characteristics of chronic kidney disease (CKD) among patients with ketosis-onset diabetes (also known as ketosis-prone diabetes) remain unclear. Furthermore, the classification of ketosis-onset diabetes remains controversial and requires further investigation.

AIM

To investigate the prevalence and clinical features of CKD in patients with newly diagnosed ketosis-onset diabetes.

METHODS

This real-world study included 217 patients with type 1 diabetes mellitus (T1DM), 698 with ketosis-onset diabetes, and 993 with non-ketotic T2DM. The prevalence and clinical characteristics of CKD were compared among the three groups. Risk factors associated with CKD were evaluated using binary logistic regression for each group.

RESULTS

After adjusting for age and sex, the prevalence of CKD among patients with ketosis-onset diabetes (17.8%) was significantly higher than that in those with T1DM (8.3%, P = 0.007), but was not statistically different compared to those with non-ketotic T2DM (21.7%, P = 0.214). Furthermore, some risk factors for CKD, including age, and serum uric acid and C-reactive protein levels, in patients with ketosis-onset diabetes were similar to those with T2DM, but significantly different from those with T1DM.

CONCLUSION

The prevalence, clinical characteristics, and risk factors for CKD among patients with ketosis-onset diabetes were more similar to those with non-ketotic T2DM but considerably different from those with T1DM. These findings further support the classification of ketosis-onset diabetes as a subtype of T2DM rather than idiopathic T1DM.

Is there anything left to eat? A lived experience insight of following a restrictive type 1 diabetes and dialysis diet

OBJECTIVES

Chronic kidney disease has a global morbidity burden of >10%, with diabetes being a major cause.  Nutrition therapy is vital in managing both chronic conditions, yet CKD dietary guidelines contradict healthy eating advice, and can result in major psychological and social burdens. Few studies investigate the patient's experience of being placed on such a restrictive diet. This auto/biographical review provides a unique perspective and aims to assist practitioners as they guide patients on 'what is left to eat.'

METHOD

An auto/biographical approach, supported by a comprehensive literature review using data from MEDLINE, Embase, and PsychoINFO, was used to answer the question: 'What are the diet and lifestyle challenges of following a restrictive Type 1 Diabetes/CKD dialysis diet?'

RESULTS

Restrictive dietary and fluid regimes have a major effect on patients' illness beliefs, anxieties, and independence. This is discussed through five themes: Food is belonging; Normal is a Fallacy; Your numbers define you; A disease disguised as a virtue and Meeting the Elephant: ESKD diagnosis and the burden of dialysis.

CONCLUSION

Dietary intervention is crucial in the management of T1D and ESKD, but equally important is to consider the implications of strict dietary regimes without sufficient evidence, guidance, and support.

Application of a validated prognostic plasma protein biomarker test for renal decline in type 2 diabetes to type 1 diabetes: the Fremantle Diabetes Study Phase II

BACKGROUND

There are scant data relating to prognostic biomarkers for chronic kidney disease (CKD) complicating type 1 diabetes. The aim of this study was to assess the performance of the plasma protein biomarker-based PromarkerD test developed and validated for predicting renal decline in type 2 diabetes in the context of type 1 diabetes.

METHODS

The baseline PromarkerD test score was determined in 91 community-based individuals (mean age 46.2 years, 56.5% males) with confirmed type 1 diabetes recruited to the longitudinal observational Fremantle Diabetes Study Phase II. The performance of the PromarkerD test in predicting the risk of incident CKD (estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m2 in people without CKD at baseline) or an eGFR decline of ≥ 30% over the next four years was determined. The score can range from 0 to 100%, and is categorized as representing low (< 10%), moderate (10% to < 20%) or high (≥ 20%) risk.

RESULTS

The area under the receiver operating characteristic curve was 0.93 (95% confidence interval 0.87-0.99) for the composite renal endpoint, indicating strong predictive accuracy. The positive and negative predictive values at moderate (10% to < 20%) and high (≥ 20%) risk PromarkerD cut-offs were 46.7-50.0% and ≥ 92.0%, respectively.

CONCLUSIONS

These preliminary data suggest that PromarkerD is at least as good a prognostic test for renal decline in type 1 as type 2 diabetes.

The potential role of finerenone in patients with type 1 diabetes and chronic kidney disease

Chronic kidney disease (CKD) represents a global health concern, associated with an increased risk of cardiovascular morbidity and mortality and decreased quality of life. Many patients with type 1 diabetes (T1D) will develop CKD over their lifetime. Uncontrolled glucose levels, which occur in patients with T1D as well as type 2 diabetes (T2D), are associated with substantial mortality and cardiovascular disease burden. T2D and T1D share common pathological features of CKD, which is thought to be driven by haemodynamic dysfunction, metabolic disturbances, and subsequently an influx of inflammatory and profibrotic mediators, both of which are major interrelated contributors to CKD progression. The mineralocorticoid receptor is also involved, and, under conditions of oxidative stress, salt loading and hyperglycaemia, it switches from homeostatic regulator to pathophysiological mediator by promoting oxidative stress, inflammation and fibrosis. Progressive glomerular and tubular injury leads to macroalbuminuria a progressive reduction in the glomerular filtration rate and eventually end-stage renal disease. Finerenone, a non-steroidal, selective mineralocorticoid receptor antagonist, is approved for treatment of patients with CKD associated with T2D; however, the benefit of finerenone in patients with T1D has yet to be determined. This narrative review will discuss treatment of CKD in T1D and the potential future role of finerenone in this setting.

Metabolic syndrome as a risk factor for the development of kidney dysfunction: a meta-analysis of observational cohort studies

Background

Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Metabolic syndrome (MetS) has been linked to CKD, but the evidence remains inconsistent. We conducted a systematic review and meta-analysis to investigate the association between MetS and kidney dysfunction.

Method

We conducted a comprehensive search of databases until December 2022 for cohort studies assessing the association between MetS and incident kidney dysfunction. Meta-analysis was performed using fixed and random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Egger's and Begg's tests.

Result

A total of 24 eligible studies, involving 6,573,911 participants, were included in this meta-analysis. MetS was significantly associated with an increased risk of developing CKD (OR, 1.42; 95% CI, 1.28, 1.57), albuminuria or proteinuria (OR, 1.43; 95% CI, 1.10, 1.86), and rapid decline in kidney function (OR, 1.25; 95% CI, 1.07, 1.47). Subgroup analyses showed a stronger association as the number of MetS components increased. However, gender-specific subgroups demonstrated varying associations.

Conclusion

Metabolic syndrome is a significant risk factor for kidney dysfunction, requiring close renal monitoring. Lifestyle changes and targeted interventions may help reduce CKD burden. Further research is needed to understand the connection fully and assess intervention efficacy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01348-5.

Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study

BACKGRUOUND

We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM).

METHODS

For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317).

RESULTS

During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status.

CONCLUSION

Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.

Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study

BACKGRUOUND

We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).

METHODS

Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.

RESULTS

During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.

CONCLUSION

Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Metabolic phenotypes and risk of end-stage kidney disease in patients with type 2 diabetes

BACKGROUND

Obesity often initiates or coexists with metabolic abnormalities. This study aimed to investigate the pathological characteristics and the independent or mutual relations of obesity and metabolic abnormalities with end-stage kidney disease (ESKD) in patients with type 2 diabetes (T2D) and associated diabetic kidney disease (DKD).

METHODS

A total of 495 Chinese patients with T2D and biopsy-confirmed DKD between 2003 and 2020 were enrolled in this retrospective study. The metabolic phenotypes were based on the body weight index (BMI)-based categories (obesity, BMI ≥ 25.0 kg/m2) and metabolic status (metabolically unhealthy status, ≥ 1 criterion National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III) excluding waist circumference and hyperglycemia) and were categorized into four types: metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO). The pathological findings were defined by the Renal Pathology Society classification. Cox proportional hazards models were used to estimate hazard ratios (HRs) for ESKD.

RESULTS

There are 56 (11.3%) MHNO patients, 28 (5.7%) MHO patients, 176 (35.6%) MUNO patients, and 235 (47.5%) MUO patients. The high prevalence of the Kimmelstiel-Wilson nodule and severe mesangial expansion were associated with obesity, whereas severe IFTA was related to metabolically unhealthy status. In the multivariate analysis, the adjusted HR (aHR) was 2.09 [95% confidence interval (CI) 0.99-4.88] in the MHO group, 2.16 (95% CI 1.20-3.88) in the MUNO group, and 2.31 (95% CI 1.27-4.20) in the MUO group compared with the MHNO group. Furthermore, the presence of obesity was insignificantly associated with ESKD compared with non-obese patients (aHR 1.22, 95% CI 0.88-1.68), while the metabolically unhealthy status was significantly associated with ESKD compared to the metabolically healthy status in the multivariate analysis (aHR 1.69, 95% CI 1.10-2.60).

CONCLUSION

Obesity itself was insignificantly associated with ESKD; however, adding a metabolically unhealthy status to obesity increased the risk for progression to ESKD in T2D and biopsy-proven DKD.

The associations between changes in hepatic steatosis and heart failure and mortality: a nationwide cohort study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is a well-known risk factor for cardiovascular (CV) disease (CVD) and mortality. However, whether the progression or regression of NAFLD can increase or decrease the risk of heart failure (HF) and mortality has not been fully evaluated. We investigated the association between changes in hepatic steatosis and the risks of incident HF (iHF), hospitalization for HF (hHF), and mortality including CV- or liver-related mortality.

METHODS

Using a database from the National Health Insurance Service in Korea from January 2009 to December 2012, we analyzed 240,301 individuals who underwent health check-ups at least twice in two years. Hepatic steatosis was assessed using the fatty liver index (FLI), with an FLI ≥ 60 considered to indicate the presence of hepatic steatosis. According to FLI changes, participants were divided into four groups. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable Cox proportional hazards regression models.

RESULTS

Persistent hepatic steatosis increased the risk of iHF, hHF, and mortality including CV- and liver-related mortality compared with the group that never had steatosis (all P < 0.05). Incident hepatic steatosis was associated with increased risk for iHF and mortality including CV- or liver-related mortality (all P < 0.05). Compared with persistent steatosis, regression of hepatic steatosis was associated with decreased risk for iHF, hHF, and liver-related mortality (iHF, HR [95% CI], 0.800 [0.691-0.925]; hHF, 0.645 [0.514-0.810]; liver-related mortality, 0.434 [0.223-0.846]).

CONCLUSIONS

FLI changes were associated with increased or decreased risk of HF outcomes and mortality.

Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease

Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes.

Metabolic syndrome associated with higher glycemic variability in type 1 diabetes: A multicenter cross-sectional study in china

AIMS

The comorbidity of metabolic syndrome (MetS) and type 1 diabetes mellitus (T1DM) is an obstacle to glucose control in patients with T1DM. We compared glycemic profiles using continuous glucose monitoring (CGM) systems in patients with T1DM with or without MetS.

METHODS

This was a multicenter cross-sectional study of patients with T1DM (N = 207) with or without MetS. CGM data were collected from study enrollment until discharge during a 1-week study session. We analyzed baseline HbA1c, average glucose, estimated HbA1c, time in range (TIR), time above range (TAR), time below range (TBR), coefficient of variation (CV), postprandial glucose excursions (PPGE) and other glycemic variability (GV) metrics. Logistic regression was developed to investigate the association between MetS and CGM metrics.

RESULTS

The results showed higher average baseline HbA1c levels, and a higher percentage of patients with baseline HbA1c levels ≥7.5%, in the T1DM with MetS group. Furthermore, MetS was associated with GV, which indicated a higher CV in patients with T1DM with MetS. However, our results showed that TAR, TIR, TBR and other GV metrics were comparable between the two groups. The T1DM with MetS group also had a higher proportion of patients with high CV (≥ 36%) than the group without MetS. In multivariable logistic regression analysis, the presence of MetS was a risk factor for high CV (≥ 36%) in our study participants.

CONCLUSIONS

T1DM patients with MetS in our study had better β-cell function. However, MetS was associated with worse glycemic control characterized by higher GV and HbA1c levels. Efforts should be expanded to improve treatment of MetS in patients with T1DM to achieve better glycemic control.

Myocardial Infarction, Stroke, and All-Cause Mortality according to Low-Density Lipoprotein Cholesterol Level in the Elderly, a Nationwide Study

BACKGROUND

We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.

METHODS

The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).

RESULTS

During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.

CONCLUSION

Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.

Serum Levels of Cholesterol and Lipoproteins in Patients With Symptomatic Paravalvular Leaks

Paravalvular leak (PVL) is a complication of valve replacement surgery which may lead to serious clinical consequences including hemolytic anemia. This study aimed to retrospectively evaluate the effect of successful intervention on serum lipid parameters in patients with PVL. A total of 106 patients (mean age: 57.2 ± 13.6 years, male: 67) who underwent surgical or transcatheter closure for symptomatic PVL were enrolled in this study. During the follow-up period, hemolysis and lipid parameters were evaluated at each clinical visit. This is the first study describing the effects of PVL on lipid metabolism after surgical or transcatheter closure. In the study, 18 patients (17%) had aortic PVL, 84 patients (79%) had mitral PVL, and 4 patients (3.8%) had both aortic and mitral PVL. A total of 59 patients underwent transcatheter closure and 47 patients were treated surgically. Technical success of the procedures was 83%. After successful PVL closure, hemoglobin and haptoglobin levels increased significantly (9.5 ± 1.3 vs 11.9 ± 2.1 g/dl, p <0.001 and 16.6 ± 7.9 vs 34.1 ± 19.9 mg, p <0.001, respectively). A significant increase in total cholesterol (158.9 ± 42.7 vs 209.3 ± 58.7 mg/dl, p <0.001), low-density lipoprotein cholesterol (99.1 ± 33.8 vs 133.9 ± 45.7 mg/dl, p <0.001), and high-density lipoprotein cholesterol (39.8 ± 12.4 vs 44.8 ± 11.7 mg/dl, p <0.001) levels was observed after successful PVL closure. In conclusion, symptomatic patients with PVL had hypocholesterolemia, reflected by low serum lipoprotein levels. After successful PVL closure, an increase in serum lipoprotein levels was observed. The recovery in levels of lipoproteins could be used as a marker of successful PVL closure, and absence of recovery of lipoprotein levels may indicate incomplete closure.

Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients

Chronic kidney disease (CKD) is one of the severe side effects of type 1 diabetes mellitus (T1DM). However, the detection and diagnosis of CKD are often delayed because of its asymptomatic nature. In addition, patients often tend to bypass the traditional urine protein (urinary albumin)-based CKD detection test. Even though disease detection using machine learning (ML) is a well-established field of study, it is rarely used to diagnose CKD in T1DM patients. This research aimed to employ and evaluate several ML algorithms to develop models to quickly predict CKD in patients with T1DM using easily available routine checkup data. This study analyzed 16 years of data of 1375 T1DM patients, obtained from the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials directed by the National Institute of Diabetes, Digestive, and Kidney Diseases, USA. Three data imputation techniques (RF, KNN, and MICE) and the SMOTETomek resampling technique were used to preprocess the primary dataset. Ten ML algorithms including logistic regression (LR), k-nearest neighbor (KNN), Gaussian naïve Bayes (GNB), support vector machine (SVM), stochastic gradient descent (SGD), decision tree (DT), gradient boosting (GB), random forest (RF), extreme gradient boosting (XGB), and light gradient-boosted machine (LightGBM) were applied to developed prediction models. Each model included 19 demographic, medical history, behavioral, and biochemical features, and every feature’s effect was ranked using three feature ranking techniques (XGB, RF, and Extra Tree). Lastly, each model’s ROC, sensitivity (recall), specificity, accuracy, precision, and F-1 score were estimated to find the best-performing model. The RF classifier model exhibited the best performance with 0.96 (±0.01) accuracy, 0.98 (±0.01) sensitivity, and 0.93 (±0.02) specificity. LightGBM performed second best and was quite close to RF with 0.95 (±0.06) accuracy. In addition to these two models, KNN, SVM, DT, GB, and XGB models also achieved more than 90% accuracy.

Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data

Population-based cohort study of 6,548,784 Korean subjects demonstrates that the risk of fracture was higher in patients with diabetes than in nondiabetic subjects. Furthermore, patients with type 1 diabetes were associated with a higher risk of fracture than patients with type 2 diabetes for all measurement sites.

INTRODUCTION

Diabetes mellitus is associated with increased fracture risk. Although the pathophysiologic effect on bone metabolism differs according to the type of diabetes, a higher risk of fracture in patients with diabetes than in nondiabetic patients has been consistently demonstrated. Considering the ever-increasing number of patients with diabetes, we aimed to provide updated information on whether this phenomenon remains valid in real-world settings by using large-scale population datasets.

METHODS

We conducted a retrospective longitudinal study using data from the Korean National Health Insurance Service dataset of preventive health check-ups between January 2009 and December 2016. The hazard ratios were calculated for any fracture, vertebral fracture, and hip fracture and were analyzed according to the presence and type of diabetes. Among 10,585,818 subjects, 6,548,784 were eligible for the analysis (2418 patients with type 1 diabetes mellitus [T1DM] and 506,208 patients with type 2 diabetes mellitus [T2DM]).

RESULTS

The mean follow-up duration (in years) was 7.0 ± 1.3 for subjects without diabetes, 6.4 ± 2.0 for those with T1DM, and 6.7 ± 1.7 for T2DM. Patients with T1DM had a higher incidence rate for all types of fractures per 1000 person-years. The fully adjusted hazard ratios (HRs) for any fracture, vertebral fracture, and hip fracture were higher in T1DM than in T2DM (1.37 [95% confidence interval (CI): 1.23-1.52] for any fracture, 1.33 [95% CI: 1.09-1.63] for vertebral fracture, and 1.99 [95% CI: 1.56-2.53] for hip fracture).

CONCLUSIONS

In this large-scale population analysis, diabetes was associated with a higher risk of all types of fractures. Patients with T1DM had a higher risk of fracture than those with T2DM for all measurement sites, and hip fractures had the highest risk. Therefore, fracture prevention training for patients with diabetes is advisable.

Combination of Statin and Ezetimibe versus Statin Monotherapy on Cardiovascular Disease and Type 2 Diabetes Incidence among Adults with Impaired Fasting Glucose: a Propensity-Matched Nationwide Cohort Study

Objective

We investigated the effects of statin-ezetimibe combination therapy compared with statin-only treatment on the hazard of incident type 2 diabetes (T2D), myocardial infarction (MI), and stroke among adults with impaired fasting glucose (IFG) in a real-world setting.

Methods

The Korean National Health Insurance Service datasets from 2002 to 2017 were used for this propensity-matched nationwide cohort study. Among 56,633 IFG patients without baseline cardiovascular disease (CVD) and/or T2D who initiated statin therapy with or without ezetimibe, 1,155 with statin-ezetimibe combination therapy were matched based on a propensity score at a 1:5 ratio with 5,775 patients who received statin monotherapy. The hazards of T2D, MI, and stroke were compared between these treatment groups.

Results

The incidence rate per 1,000 person-years was 19.62 (statin monotherapy group) and 21.02 (combined treatment group) for T2D, 1.53 (statin monotherapy group) and 1.70 (combined treatment group) for MI, and 1.99 (statin monotherapy group) and 2.06 (combined treatment group) for stroke. The hazards of T2D, MI, and stroke were not significantly different between the statin monotherapy group and the statin-ezetimibe combination therapy group.

Conclusion

The combination of ezetimibe in addition to statin treatment was not associated with a significantly different risk of T2D and CVDs compared with statin monotherapy in Korean adults with IFG.

Association between metabolic syndrome and incident chronic kidney disease among Chinese: A nation-wide cohort study and updated meta-analysis

AIMS

We prospectively examined the relationship between metabolic syndrome (MetS) and incident chronic kidney disease (CKD) among middle-aged and elderly Chinese, and conducted a systematic review and meta-analysis of all cohort studies on this topic.

MATERIALS AND METHODS

Our research data were derived from the China Health and Retirement Longitudinal Study. Participants (n=5752, age ≥45 years) without CKD (defined as estimated glomerular filtration rate <60 ml/min/1.73m² ) at baseline were followed up for 4 years. We applied logistic regressions to examine the association of MetS with incident CKD. In addition, we pooled our effect estimates and those from previous cohort studies in the meta-analysis.

RESULTS

In a 4-years follow-up, 61 (4.27%) developed CKD in participants with MetS versus 102 (2.36%) in participants without MetS. After adjustment for potential confounders, odds ratio for incident CKD was 1.82 [95% confidence interval (95% CI): 1.19-2.78] comparing participants with MetS with those without MetS. There was a linear positive association between the number of MetS components and incident CKD (p for trend <0.001). In the updated meta-analysis of 25 studies among 350,655 participants with 29,368 incident cases of CKD, the pooled relative risk of developing CKD in participants with MetS was 1.34 (95% CI: 1.28-1.39), compared with those without MetS.

CONCLUSIONS

Individuals with MetS had higher risk of incident CKD in middle-aged and elderly Chinese adults, which was supported by a comprehensive review of cohort studies from multiple populations. It may be advisable to routinely monitor renal functions among individuals with MetS.

Risk of early mortality and cardiovascular disease according to the presence of recently diagnosed diabetes and requirement for insulin treatment: A nationwide study

AIMS/INTRODUCTION

We estimated the hazards of cardiovascular diseases (CVDs) and early all-cause mortality in Korean adults according to the presence of recently diagnosed type 2 diabetes (type 2 diabetes for <5 years) and insulin use.

MATERIALS AND METHODS

We used the Korean National Health Insurance Service-National Sample Cohort database (2002-2015) for this longitudinal population-based study. Among adults aged ≥40 years without baseline CVD, individuals without diabetes or with recently diagnosed type 2 diabetes were selected (N = 363,919). The hazard ratios (HRs) for myocardial infarction (MI), stroke, and all-cause mortality during follow-up were analyzed according to three groups categorized by the presence of type 2 diabetes and insulin use.

RESULTS

Within a mean 7.8 years, there were 5,275 MIs, 7,220 strokes, and 15,834 deaths. The hazards for outcomes were higher in the insulin-treated type 2 diabetes group than in the non-diabetes group [HR (95% CI): 2.344 (1.870-2.938) for MI, 2.420 (1.993-2.937) for stroke, and 3.037 (2.706-3.407) for death], higher in the non-insulin-treated type 2 diabetes group than in the non-diabetes group [HR (95% CI): 1.284 (1.159-1.423) for MI, 1.435 (1.320-1.561) for stroke, and 1.135 (1.067-1.206) for death], and higher in the insulin-treated type 2 diabetes group than in the non-insulin-treated type 2 diabetes group [HR (95% CI): 1.914 (1.502-2.441) for MI, 1.676 (1.363-2.060) for stroke, and 2.535 (2.232-2.880) for death].

CONCLUSIONS

Recently diagnosed type 2 diabetes patients showed increased risks of incident CVDs and premature mortality, and insulin-treated group demonstrated an additional increase in the risks of these outcomes in adults with recently diagnosed type 2 diabetes, suggesting the need for intensified cardio-protective interventions for adults with insulin-treated type 2 diabetes.

The association of hepatic steatosis and fibrosis with heart failure and mortality

Background

Nonalcoholic fatty liver disease (NAFLD) is a hepatic manifestation of metabolic disease and independently affects the development of cardiovascular (CV) disease. We investigated whether hepatic steatosis and/or fibrosis are associated with the development of incident heart failure (iHF), hospitalized HF (hHF), mortality, and CV death in both the general population and HF patients.

Methods

We analyzed 778,739 individuals without HF and 7445 patients with pre-existing HF aged 40 to 80 years who underwent a national health check-up from January 2009 to December 2012. The presence of hepatic steatosis and advanced hepatic fibrosis was determined using cutoff values for fatty liver index (FLI) and BARD score. We evaluated the association of FLI or BARD score with the development of iHF, hHF, mortality and CV death using multivariable-adjusted Cox regression models.

Results

A total of 28,524 (3.7%) individuals in the general population and 1422 (19.1%) pre-existing HF patients developed iHF and hHF respectively. In the multivariable-adjusted model, participants with an FLI ≥ 60 were at increased risk for iHF (hazard ratio [HR], 95% confidence interval [CI], 1.30, 1.24–1.36), hHF (HR 1.54, 95% CI 1.44–1.66), all-cause mortality (HR 1.62, 95% CI 1.54–1.70), and CV mortality (HR 1.41 95% CI 1.22–1.63) in the general population and hHF (HR 1.26, 95% CI 1.21–1.54) and all-cause mortality (HR 1.54 95% CI 1.24–1.92) in the HF patient group compared with an FLI < 20. Among participants with NAFLD, advanced liver fibrosis was associated with increased risk for iHF, hHF, and all-cause mortality in the general population and all-cause mortality and CV mortality in the HF patient group (all p < 0.05).

Conclusion

Hepatic steatosis and/or advanced fibrosis as assessed by FLI and BARD score was significantly associated with the risk of HF and mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01374-8.

Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study

BACKGROUND/OBJECTIVES

We investigated the hazards of cardiovascular diseases (CVDs) and all-cause death during follow-up according to baseline body mass index (BMI) and percent change in BMI among adults with insulin-treated diabetes.

SUBJECTS/METHODS

Using the Korean National Health Insurance Service datasets (2002-2017), the hazards of myocardial infarction (MI), stroke, and all-cause mortality during follow-up were analyzed according to baseline BMI and percent change in BMI among adults with insulin-treated diabetes and without baseline CVD and/or malignancy (N = 44,055).

RESULTS

At baseline, 67.3% of total subjects were either obese or overweight. During a mean 3.8 years, 1,081 MI and 1,562 stroke cases developed; 2,847 deaths occurred over a mean 3.9 years. Compared with normal weight, overweight and obesity were associated with lower hazards of outcomes [hazard ratio (95% CI): 0.836 (0.712-0.981), 0.794 (0.687-0.917) for MI; 0.829 (0.726-0.946), 0.772 (0.684-0.870) for stroke; 0.740 (0.672-0.816), 0.666 (0.609-0.728) for death, respectively]. Underweight was associated with a higher hazard of all-cause death during follow-up [hazard ratio (95% CI): 2.035 (1.695-2.443)]. When the group with minimum absolute value for percent change in BMI was set as a reference, the relative reduction in BMI was associated with increased hazards of MI, stroke, and all-cause death, and relative increase in BMI was associated with increased hazards of stroke and all-cause death during follow-up.

CONCLUSIONS

Among adults with insulin-treated diabetes, a high prevalence of overweight and obesity was observed, and baseline BMI category was inversely associated with CVD incidence and all-cause death during follow-up. Both weight loss and gain were associated with increased CVD incidence and all-cause death during follow-up, showing a U-shaped relationship between weight change and outcome. Stable body weight might be a predictor of a lower risk of CVDs and premature death among individuals with insulin-treated diabetes.

Optimal blood pressure for patients with chronic kidney disease: a nationwide population-based cohort study

The effect of blood pressure (BP) on the incident cardiovascular events, progression to end-stage renal disease (ESRD) and mortality were evaluated among chronic kidney disease (CKD) patients with and without antihypertensive treatment. This nationwide study used the Korean National Health Insurance Service-Health Screening Cohort data. The hazards of outcomes were analysed according to the systolic BP (SBP) or diastolic BP (DBP) among adults (aged ≥ 40 years) with CKD and without previous cardiovascular disease or ESRD (n = 22,278). The SBP and DBP were ≥ 130 mmHg and ≥ 80 mmHg in 10,809 (48.52%) and 11,583 (51.99%) participants, respectively. During a median 6.2 years, 1271 cardiovascular events, 201 ESRD incidents, and 1061 deaths were noted. Individuals with SBP ≥ 130 mmHg and DBP ≥ 80 mmHg had higher hazards of hypertension-related adverse outcomes compared to the references (SBP 120-129 mmHg and DBP 70-79 mmHg). SBP < 100 mmHg was associated with hazards of all-cause death, and composite of ESRD and all-cause death during follow-up only among the antihypertensive medication users suggesting that the BP should be < 130/80 mmHg and the SBP should not be < 100 mmHg with antihypertensive agents to prevent the adverse outcome risk of insufficient and excessive antihypertensive treatment in CKD patients.

Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus

BACKGROUND

The aim of this study was to evaluate characteristics and risk of diabetic complications according to age at diagnosis among young adults with type 1 diabetes mellitus (T1DM).

METHODS

A total of 255 T1DM patients aged less than 40 years were included. Patients were categorized into three groups (<20, 20 to 29, and 30 to 40 years) according to age at diagnosis. Diabetic nephropathy (DN) was defined when spot urine-albumin creatinine ratio was 300 mg/g or more and/or estimated glomerular filtration ratio (eGFR) level was 60 mL/min/1.73 m2 or less.

RESULTS

Median age at diagnosis was 25 years and disease duration was 14 years. Individuals diagnosed with T1DM at childhood/adolescent (age <20 years) had lower stimulated C-peptide levels. They received more intensive insulin treatment with higher total daily insulin doses compared to older onset groups. The prevalence of DN was higher in the childhood/adolescent-onset group than in older onset groups (25.3% vs. 15.3% vs. 9.6%, P=0.022). The eGFR was inversely associated with disease duration whilst the degree of decrease was more prominent in the childhood/adolescent-onset group than in the later onset group (aged 30 to 40 years; P<0.001). Childhood/adolescent-onset group was independently associated with the risk of DN compared to the older onset group (aged 30 to 40 years; odds ratio, 3.47; 95% confidence interval, 1.45 to 8.33; P=0.005).

CONCLUSION

In individuals with childhood/adolescent-onset T1DM, the reduction in renal function is more prominent with disease duration. Early age-onset T1DM is an independent risk of DN.

Risk of early mortality and cardiovascular disease in type 1 diabetes: a comparison with type 2 diabetes, a nationwide study

Background

Both type 1 and type 2 diabetes are well-established risk factors for cardiovascular disease and early mortality. However, few studies have directly compared the hazards of cardiovascular outcomes and premature death among people with type 1 diabetes to those among people with type 2 diabetes and subjects without diabetes. Furthermore, information about the hazard of cardiovascular disease and early mortality among Asians with type 1 diabetes is sparse, although the clinical and epidemiological characteristics of Asians with type 1 diabetes are unlike those of Europeans. We estimated the hazard of myocardial infarction (MI), hospitalization for heart failure (HF), atrial fibrillation (AF), and mortality during follow-up in Korean adults with type 1 diabetes compared with those without diabetes and those with type 2 diabetes.

Methods

We used Korean National Health Insurance Service datasets of preventive health check-ups from 2009 to 2016 in this retrospective longitudinal study. The hazard ratios of MI, HF, AF, and mortality during follow-up were analyzed using the Cox regression analyses according to the presence and type of diabetes in ≥ 20-year-old individuals without baseline cardiovascular disease (N = 20,423,051). The presence and type of diabetes was determined based on the presence of type 1 or type 2 diabetes at baseline.

Results

During more than 93,300,000 person-years of follow-up, there were 116,649 MIs, 135,532 AF cases, 125,997 hospitalizations for HF, and 344,516 deaths. The fully-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident MI, hospitalized HF, AF, and all-cause death within the mean follow-up of 4.6 years were higher in the type 1 diabetes group than the type 2 diabetes [HR (95% CI) 1.679 (1.490–1.893) for MI; 2.105 (1.901–2.330) for HF; 1.608 (1.411–1.833) for AF; 1.884 (1.762–2.013) for death] and non-diabetes groups [HR (95% CI) 2.411 (2.138–2.718) for MI; 3.024 (2.730–3.350) for HF; 1.748 (1.534–1.993) for AF; 2.874 (2.689–3.073) for death].

Conclusions

In Korea, the presence of diabetes was associated with a higher hazard of cardiovascular disease and all-cause death. Specifically, people with type 1 diabetes had a higher hazard of cardiovascular disease and all-cause mortality compared to people with type 2 diabetes.