Moderate resistance training reduces intermuscular adipose tissue and risk factors of atherosclerotic cardiovascular disease for elderly patients with type 2 diabetes.

AIM: This study aimed to assess the impact of moderate resistance training on intermuscular adipose tissue (IMAT) in elderly patients with type 2 diabetes and the independent effect of IMAT reduction on metabolic outcomes. METHODS: In this randomized controlled trial, 85 patients with type 2 diabetes were assigned to either the resistance training group (42 participants) or the control group (43 participants) for a 6-month intervention. The primary outcome was changes in IMAT measured by computed tomography scan and magnetic resonance imaging using the interactive decomposition of water and fat with echo asymmetry and least squares qualification sequence. Secondary outcomes included changes in metabolic parameters. RESULTS: Thirty-seven participants in each group completed the study. The IMAT area (measured by a computed tomography scan) in the resistance group decreased from 5.176 ± 1.249 cm2 to 4.660 ± 1.147 cm2, which is a change of -0.512 ± 0.115 cm2, representing a 9.89% decrease from the least-squares adjusted mean at baseline, which was significantly different from that of the control group (a change of 0.587 ± 0.115 cm2, a 10.34% increase). The normal attenuation muscle area (representing normal muscle density) in the resistance group increased from 82.113 ± 8.776 cm2 to 83.054 ± 8.761 cm2, a change of 1.049 ± 0.416 cm2, a 1.3% increase, which was significantly different from that of the control group (a change of -1.113 ± 0.416 cm2, a 1.41% decrease). Homeostasis model assessment 2 of beta cell function (HOMA2-ß; increased from 52.291 ± 24.765 to 56.368 ± 21.630, a change of 4.135 ± 1.910, a 7.91% increase from baseline) and ratio of insulin increase to blood glucose increase at 30 min after the oral glucose tolerance test (∆I30/∆G30; increased from 4.616 ± 1.653 to 5.302 ± 2.264, a change of 0.715 ± 0.262, a 15.49% increase) in the resistance group were significantly improved compared with those in the control group, which had a change of -3.457 ± 1.910, a 6.05% decrease in HOMA2-ß, and a change of -0.195 ± 0.262, a 3.87% decrease in ∆I30/∆G30, respectively. Adjusting for sex, age, diabetes duration, baseline IMAT, and the dependent variable at baseline, linear regression showed that the change in IMAT area was not related to the change in HOMA2 insulin resistance (ß = -0.178, p = .402) or the change in HOMA2-ß (ß = -1.891, p = .197), but was significantly related to the changes in ∆I30/∆G30 (ß = -0.439, p = .047), 2-h postprandial glucose (ß = 1.321, p = .026), diastolic blood pressure (ß = 2.425, p = .018), normal attenuation muscle area (ß = -0.907, p = .019) and 10-year risk of atherosclerotic cardiovascular disease (ß = 0.976, p = .002). CONCLUSION: Low-level, moderate resistance training reduces IMAT content. Even a small reduction in IMAT may be related to a decrease in risk factors for atherosclerotic cardiovascular disease, but this small reduction may not be sufficient to reduce insulin resistance.

Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning.

Background: This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Methods: The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 diabetes mellitus patients based on the risk factors. Pytorch was used to build the LSTM neural network, with 70% of the data used for training and the other 30% for testing. Three models were established to examine the impact of glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), and pulse pressure (PP) variabilities on the model's performance. Results: The developed model achieved an accuracy of 83% and an AUC of 0.83. When the risk factor of HbA1c variability, SBP variability, or PP variability was removed one by one, the accuracy of each model was significantly lower than that of the optimal model, with an accuracy of 78% (P<0.001), 79% (P<0.001), and 81% (P<0.001), respectively. The AUC of ROC was also significantly lower for each model, with values of 0.72 (P<0.001), 0.75 (P<0.001), and 0.77 (P<0.05). Conclusion: The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model's performance was greatly improved.

Perioperative Insulin Pump Therapy Decreases Readmission Risk and Improves Outcomes in Patients with Diabetes.

OBJECTIVE: To evaluate the impact of temporary insulin pump use during hospitalization on glycemia, postoperative complications, and cost/utilization in perioperative patients with diabetes. METHODS: Patients (n=159) with type 2 diabetes and hospitalized for elective surgery were recruited from three hospitals. Subjects were categorized into the insulin pump group and the multiple daily subcutaneous insulin injection group according to their treatment therapy. Data were collected at admission, discharge, and 3 months post-discharge. RESULTS: Subjects in the CSII group who were still on insulin therapy transitioned from CSII to MDII; however, their daily insulin dosages were lower than those in the MDII group (15.31±10.98 U/d vs. 23.48±17.02 U/d, P=0.015) after discharge. In terms of medical costs, the CSII group had significantly higher hospitalization costs than the MDII group (112.36±103.43 thousand RMB vs. 82.65±77.98 thousand RMB, P=0.043). After 3 months, the CSII group had significantly lower outpatient costs than the MDII group (3.17±0.94 thousand RMB vs. 3.98±1.76 thousand RMB, P ˂ 0.001). In the MDII group, 10 patients reported severe postoperative complications requiring re-hospitalization; there were no similar reports in the CSII group. CONCLUSION: Temporary use of insulin pump therapy for perioperative patients with diabetes results in a reduction in blood glucose and blood glucose fluctuation during hospitalization, HbA1c, and the risk of postoperative complication and readmission, thus significantly decreasing costs in this complex patient cohort. Further work is needed to better understand indications for utilizing pump therapy based on diabetes phenotype and the complexity of planned surgical intervention.

A Multisample Path Analysis Including a Novel Psychological Indicator, Attitude Toward Life, After the First Wave of COVID-19.

Introduction: During the COVID-19 outbreak, China applied a unique volunteerism system in which nurses and physicians traveled to the epicenter to care for patients. During the same period, another group, nurse and physician nonvolunteers, stayed at their home hospitals outside of the epicenter and cared for patients without COVID-19. Yet only one Chinese study examined psychological responses comparing these groups. Objective: To explore whether relationships among compassion satisfaction, general health, attitude toward life, satisfaction with life, perceived stress, and posttraumatic stress disorder (PTSD) symptomatology differ between volunteers and nonvolunteers. Attitude toward life is examined for the first time in COVID-19 research. Methods: A cross-sectional study was conducted (259 nurse and physician volunteers, 330 nurse and physician nonvolunteers). Online survey data were analyzed using multisample path analysis. Results: There was no significant difference between volunteer and nonvolunteer models. In the volunteer model, paths significantly related to PTSD symptomatology included compassion satisfaction (total effect, ß = -0.12), general health (total effect, ß = -0.09), attitude toward life (direct effect, ß = -0.30; total effect, ß = -0.30), and perceived stress (direct effect, ß = 0.30; total effect, ß = 0.30), and in nonvolunteers included general health (direct effect, ß = -0.11; total effect, ß = -0.11) and attitude toward life (direct effect, ß = -0.47; total effect, ß = -0.47). Conclusion: No significant difference between models means both groups could benefit from psychological intervention. Within each model, significant paths were identified. For volunteers, counselors might focus on compassion satisfaction and perceived stress and, for both volunteers and nonvolunteers, on health and attitude toward life. Delivering counseling based on key indicators in China may help prevent or mitigate PTSD. Globally, researchers could identify factors to target and determine to whom long-term counseling might be directed. Findings about attitude toward life lay the groundwork for future research.

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan.

Purpose: To investigate the association of five obesity indices and the variability of these indices with diabetic kidney disease (DKD) in patients with type 2 diabetes and compare the predictive validity of these markers for the risk of DKD in this large longitudinal cohort study. Patients and Methods: A total of 2659 patients with type 2 diabetes who did not have DKD were enrolled between 2006 and 2019 at Lee's United Clinic in Taiwan. Data were collected for each subject, including demographic data, personal medical history, clinical parameters and calculated Body mass index (BMI), visceral adiposity index (VAI), lipid accumulation product (LAP), body roundness index (BRI) and variability of five obesity indices. Cox regression analysis was performed to determine the relationship between different obesity indicators and DKD risk. Cox's proportional hazards model was evaluated the predictive effect of obesity indices on DKD. Results: The risk of developing DKD increased with an increase in the BRI, LAP, VAI, WC and BMI (all P trend<0.05), and the variability of VAI was significantly associated with DKD [HR=1.132, 95% CI (1.001, 1.281)] after adjusting for corresponding variables. BRI had the strongest predictive effect on DKD. BRI had the best predictive performance, with AUC of 0.807, 0.663 and 0.673 at 1, 3 and 5 years, respectively. Cox regression analysis of risk factors for DKD in patients stratified by BRI quartiles showed that patients in the Q4 group had the highest risk of developing DKD [HR=1.356, 95% CI (1.131, 1.626)]. Conclusion: BMI, WC, VAI, LAP, BRI and VAI variability were associated with a significant increase in the risk of DKD events, and BRI was superior and alternative obesity index for predicting DKD.

For the Good of the People: an interpretive analysis of Chinese volunteerism in the critical matter of care at the start of the pandemic.

PURPOSE: China employed a unique volunteerism system where health care providers outside of Hubei Province, the epicentre, travelled to reverse the devastation wrought by coronavirus disease 2019 (COVID-19) at its global onset. The aim is to study the unique circumstances of Chinese volunteerism in the context of continuing pandemic threats, specifically exploring the experiences of 20 Chinese nurse and physician volunteers fighting COVID-19 during the outbreak. METHODS: Interviews were done through video calling. RESULTS: Using content analysis with a hermeneutic perspective, emerging patterns showed the ways in which China's particular manifestation of volunteerism teaches us how to engage global threats of this nature. The overarching lesson, For the Good of the People, was manifested in several dynamic and overlapping themes: 1) Reaching for Professional Standards Even in Crisis; 2) Constantly Caring Through Failures and Successes; and 3) Holding Fast to the Common Good. The devastation was met by the resilience of volunteers, who overcame profound challenges managing patient care. CONCLUSIONS: Volunteerism required sacrifice and tremendous support in the form of training and administrative direction, family support, and peer collaboration. Volunteers' physical and psychosocial wellbeing was a priority. Recognizing the representative themes can help societies plan for continuing and future events.

External validation of the risk prediction model for early diabetic kidney disease in Taiwan population: a retrospective cohort study.

OBJECTIVES: This study aims to independently and externally validate the Risk Prediction Model for Diabetic Kidney Disease (RPM-DKD) in patients with type 2 diabetes mellitus (T2DM). DESIGN: This is a retrospective cohort study. SETTING: Outpatient clinics at Lee's United Clinics, Taiwan, China. PARTICIPANTS: A total of 2504 patients (average age 55.44 years, SD, 7.49 years) and 4455 patients (average age 57.88 years, SD, 8.80 years) were included for analysis in the DKD prediction and progression prediction cohorts, respectively. EXPOSURE: The predicted risk for DKD and DKD progression for each patient were all calculated using the RPM-DKD. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was overall incidence of DKD. Secondary outcomes included DKD progression. The discrimination, calibration and precision of the RPM-DKD score were assessed. RESULTS: The DKD prediction cohort and progression prediction cohort consisted of patients with 2504 and 4455 T2DM, respectively. The RPM-DKD examined in this study showed moderately discriminative ability with area under the curve ranged from 0.636 to 0.681 for the occurrence of DKD and 0.620 to 0.654 for the progression of DKD. The Hosmer-Lemeshow χ2 test indicted the RPM-DKD was not well calibrated for predicting the occurrence of DKD and overestimated the progression of DKD. The precision for predicting the occurrence and progression of DKD were 43.2% and 42.2%, respectively. CONCLUSIONS: On external validation, the RPM-DKD cannot accurately predict the risk of DKD occurrence and progression in patients with T2DM.

Determination of Key Inflection Points for Maladaptive Responses in US Nurses During the Pandemic: A Network Analysis.

Introduction: During the pandemic, the nursing workforce is experiencing overwhelming workloads that carry a heavy psychological burden. A wide variety of psychological responses to the COVID-19 pandemic have been studied in nurses globally, but many are not studied or understudied in US nurses. Theoretical underpinnings of the current study are based on the disaster component of the Middle-Range Theory of Nurses' Psychological Trauma. Objective: To explore the associations of psychological responses (life satisfaction, perceived stress, posttraumatic stress disorder [PTSD] symptomatology, attitude toward life, and compassion satisfaction), years of experience, and general health in US nurses during the COVID-19 pandemic using network analysis. Methods: A cross-sectional study was conducted using an online survey from October to November 2020 in US nurses. Network analysis was used to model the data and analyze the centrality indices of betweenness, closeness, and strength. Data were reported according to the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist. Results: In 128 nurses, 19.35% of nurses had probable PTSD. Network analysis showed strong significant correlations between life satisfaction and perceived stress (negative), between perceived stress and PTSD symptomatology (positive), and between attitude toward life and compassion satisfaction (positive). Conclusion: Low life satisfaction, high perceived stress, and low attitude toward life are key inflection points that signal the need for psychological intervention in the US nursing workforce during the continued pandemic. Based on 2021 Tri-Council of Nursing COVID-19 Report and the 2022 International Council of Nurses guideline, healthcare should implement scalable, system-level interventions to reduce psychological burden during the pandemic. The current study suggests targets for such intervention, which may promote a healthier, more effective US nursing workforce.

Relationship Between Sporadic Renal Cysts and Renal Function Detected by Isotope Renography in Type 2 Diabetes.

Purpose: This study aimed to reveal the relationship between the volume of sporadic renal cysts and renal function in patients with type 2 diabetes (T2D). Materials and Methods: One hundred and seventy-one patients that underwent renal imaging and other routine examinations at the Shanghai Pudong Hospital were included in this study. The Gates' method of glomerular filtration rate (GFR) was measured by 99mTc-DTPA renal dynamic imaging in addition to the eGFR, calculated by the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI). Results: Our results showed that BMI, total iGFR, and eGFR showed significant differences between patients with T2D with or without SRC (p < 0.05). Spearman correlation analysis showed that cyst volume was positively correlated with Scr and gender but not iGFR (p > 0.05). The total iGFR positively correlated with eGFR (r = 0.83, p < 0.0001) and negatively with Scr (r = -0.78, p < 0.0001), age (r = -0.43, p < 0.0001), duration of T2D (r = -0.25, p = 0.001), and BMI (r = -0.21, p = 0.006) but not gender (r = -0.03, p = 0.668). The multilinear regression model revealed that gender (ß = 0.346, p < 0.001), iGFR (ß = -0.705, p < 0.001), and serum uric acid (ß = 0.195, p = 0.032) were independent predictors of Scr. Moreover, we observed a significant increase in Scr in males (p < 0.05). Finally, we found that the split kidney function reflected by iGFR and related parameters such as time to peak (PTT) and half time of excretion (excrete t1/2) did not mutually distinguish from each other significantly whether they are measured in patients with renal cysts or in those without renal cysts (p > 0.05). Conclusion: Our preliminary results suggest that in T2D, SRCs may be a renal complication of diabetic nephropathy. Although we found that the patients with renal cysts may display reduced iGFR, the volume of simple cysts seems not to exacerbate renal insufficiency. Isotope renography is a useful tool to evaluate the split kidney functions in diabetic patients who acquire single-side cysts.

Effect of urinary albumin creatinine ratio on type 2 diabetic retinopathy and is cut-off value for early diabetic retinopathy diagnosis.

OBJECTIVE: To evaluate the effect of Urinary albumin creatinine ratio (UACR) on diabetic retinopathy (DR) in People with Type 2 diabetes (T2D) and the cut-off value of UACR for predicting DR using receiver operating characteristic curve (ROC). METHODS: A prospective cohort study of 2490 people with T2D was conducted with follow-up ranging from 3 to 10 years, with a mean follow-up of 7 years. Dilated fundus examination and urine examination were performed annually. Medical history and clinical data were collected and analyzed. Linear mixed effect models with unstructured variance-covariance were carried out to longitudinally assess the influence of UACR and other factors on DR, and ROC curve was drawn to evaluate the value of UACR in early diagnosis of DR. RESULTS: Linear Mixed-effect models revealed that UACR was positively correlated with the development of DR (ß = 0.001, 95 %CI: 1.023-1.241, P < 0.001). The area under the ROC curve for UACR was 0.634 (95 %CI: 0.605-0.664, P < 0.001), cut-off value for early diagnosis of DR was 27.81 mg/g, the sensitivity was 0.586, and the specificity was 0.632. CONCLUSION: UACR can predict the occurrence of DR in people with T2D, so it can be considered as a preliminary indicator of DR.

Effects of different blood pressures and their long-term variability on the development of diabetic kidney disease in patients with type 2 diabetes mellitus.

AIM: To explore the relationship between long-term variabilities in different blood pressure variables and diabetic kidney disease (DKD) in patients with type 2 diabetes. DESIGN: A retrospective study. METHODS: This study included 3050 patients with type 2 diabetes whose metabolic parameters were regularly checked. Intrapersonal means and standard deviations (SDs) of all recorded systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and pulse pressure (PP) measurements were calculated. Subjects were divided into four groups: Q1 (SBP-Mean < 130, SBP-SD < 11.06); Q2 (SBP-Mean < 130, SBP-SD ≥ 11.06); Q3 (SBP-Mean ≥ 130, SBP-SD < 11.06); Q4 (SBP-Mean ≥ 130, SBP-SD ≥ 11.06). Similarly, based on whether the PP-Mean was higher or lower than 80 mmHg (average PP-Mean) and the PP-SD was higher or lower than 6.48 mmHg (average PP-SD), the involved patients were redivided into Q1'~ Q4' groups. RESULTS: Adjusted for age, sex and diabetes duration, results revealed that the SBP-Mean, SBP-SD, PP-Mean and PP-SD were risk factors for DKD. Meanwhile, patients in the Q4 group had the highest DKD prevalence (HR = 1.976, p < .001), while Q1 group had the lowest. In addition, patients in the Q3 group (HR = 1.614, P < .001) had a higher risk of DKD than those in the Q2 group (HR = 1.408, P < .001). After re-stratification by PP-Mean and PP-SD, patients in the Q4' group had the highest risk of DKD (HR = 1.370, p < .001), while those in the Q1' group had the lowest risk. Patients in the Q3' group (HR = 1.266, p < .001) had a higher risk of DKD than those in the Q2' group (HR = 1.212, p < .001).

The Impact of Systolic Blood Pressure, Pulse Pressure, and Their Variability on Diabetes Retinopathy among Patients with Type 2 Diabetes.

Objectives: To evaluate the effects of variations in systolic blood pressure (SBP) and pulse pressure (PP) on diabetic retinopathy (DR) in patients with type 2 diabetes. Methods: A total of 3275 type 2 diabetes patients without DR at Taiwan Lee's United Clinic from 2002 to 2014 were enrolled in the study. The average age of the patients was 65.5 (±12.2) years, and the follow-up period ranged from 3 to 10 years. Blood pressure variability was defined as the standard deviation (SD) of the average blood pressure values over the entire study period and was calculated for each patient. The mean SD for SBP was 11.16, and a SBP ≥ 130 mmHg (1 mmHg = 0.133 kPa) was defined as high SBP. Based on these data, patients were divided into four groups as follows: group 1 (G1, mean SBP < 130 mmHg, SD of SBP < 11.16 mmHg), group 2 (G2, mean SBP < 130 mmHg, SD ≥ 11.16 mmHg), group 3 (G3, mean SBP ≥ 130 mmHg, SD of SBP < 11.16 mmHg), and group 4 (G4, mean SBP ≥ 130 mmHg, SD ≥ 11.16 mmHg). Based on a mean PP of 80 mmHg with a pulse pressure SD of 6.53 mmHg, the patients were regrouped into four groups designated G1'-G4'. Results: After adjusting for patient age, sex, and disease course, Cox regression showed that the mean and SD of SBP, pulse pressure, and their SDs were risk factors for DR. After stratifying the patients based on the mean and SD of the SBP, we found that the patients in the G4 group had the highest risk of DR (hazard ratio (HR) = 1.980, 95% CI: 1.716~2.285, P < 0.01) and patients in the G1 group had the lowest risk. Patients in the G3 group (HR = 1.409, 95% CI: 1.284~1.546, P < 0.01) had a higher risk of DR compared to those in the G2 group (HR = 1.353, 95% CI: 1.116~1.640, P < 0.01). After the restratification of patients based on the mean and SD of the pulse pressures, it was found that patients in the G2' group had the highest risk of DR (HR = 2.086, 95% CI: 1.641~2.652, P < 0.01), whilst patients in the G1' group had the lowest risk. Also, the risk of DR in the G4' group (HR = 1.507, 95% CI: 1.135~2.000, P < 0.01) was higher than that in the G3' group (HR = 1.289, 95% CI: 1.181~1.408, P < 0.01). Conclusions: Variability in SBP and PP are risk factors for DR in patients with type 2 diabetes. The variability of PP was better able to predict the occurrence of DR than mean pulse pressure.

ß-Cell function and body mass index are predictors of exercise response in elderly patients with prediabetes.

AIMS/INTRODUCTION: To explore the predicting factors of exercise response (whether the participants converted to diabetes) in elderly patients with prediabetes. MATERIALS AND METHODS: This is a retrospective subgroup analysis of the registered clinical trial with previous publication of the same cohort. A total of 248 participants with prediabetes were randomized to the aerobic training (n = 83) group, resistance training (n = 82) group and control group (n = 83). The patients who finished the 2-year exercise intervention were included in this analysis to explore the factors impacting exercise response. RESULTS: A total of 113 patients with prediabetes completed 2 years of exercise, with 56 participants in the aerobic exercise group and 57 in the resistance exercise group. Patients who reversed to normal glucose tolerance, remained in prediabetes and developed diabetes were 18 (15.90%), 70 (62.00%) and 25 (22.10%), respectively. Logistic regression showed that baseline, homeostatic model 2 assessment of ß-cell function (ß = -0.143, P = 0.039), hemoglobin A1c (ß = 3.301, P = 0.007) and body mass index (ß = 0.402, P = 0.012) were related to exercise response, whereas the waist-to-hip ratio (ß = -3.277, P = 0.693) and types of exercise (ß = 1.192, P = 0.093) were not significantly related to exercise response. CONCLUSIONS: Baseline homeostatic model 2 assessment of ß-cell function, hemoglobin A1c and body mass index were the predictors for the response to exercise in elderly patients with prediabetes.

Aerobic training reduces pancreatic fat content and improves ß-cell function: A randomized controlled trial using IDEAL-IQ magnetic resonance imaging.

AIMS: To explore the effects of six months of moderate-intensity aerobic exercise on pancreatic fat content and its impact on ß-cell function. MATERIALS AND METHODS: A total of 106 patients with type 2 diabetes mellitus were randomized to either a moderate-intensity aerobic training group (three times a week, including 5 min warm-up, 50 min aerobic dancing, and 5 min relaxation, n = 53) or control group (n = 53) with 6-month intervention. The primary endpoint was change in pancreatic fat content. An intention-to-treat analysis was conducted. RESULTS: Eighty-six patients completed the study with 43 patients in the aerobic training group. The average age, HbA1c, and pancreatic fat content for all participants (106 patients) were 66.39 ± 5.59 years, 7.05 ± 1.24%, and 10.35 ± 9.20%, respectively. Nearly half (49.06%) of patients were males. Subjects in the aerobic training group saw a significant reduction in pancreatic fat content when compared to controls (p = 0.001). In logistic regression models containing age, diabetes duration, change in BMI, smoking/drinking status, changes in lipid indices, and other abdominal fat content, only reduction in pancreatic fat content (p < 0.05) was an independent protective factor for ß-cell function and HbA1c. CONCLUSIONS: Six months of moderate-intensity aerobic training significantly reduced the pancreatic fat content. The reduction of pancreatic fat content was an independent protective factor for ß-cell function and HbA1c.

Effects of aerobic training and resistance training in reducing cardiovascular disease risk for patients with prediabetes: A multi-center randomized controlled trial.

AIMS: Aerobic training (AT) and resistance training (RT) can reduce blood glucose and type 2 diabetes risk, and increase muscle mass for prediabetes patients. However, the impact of long-term AT and RT on cardiovascular disease (CVD) risk remains unclear. The purpose of this study was to investigate the impact of AT and RT on CVD risk reduction in prediabetes patients. MATERIALS AND METHODS: 248 prediabetes patients were enrolled in this multi-center randomized controlled trial (RCT). Patients were randomly divided into 3 groups: RT (n = 82), aerobic training (AT (n = 83)), and control group (n = 83). Participants in RT and AT groups had moderate RT or AT 3 times a week (150 min/week) under supervision in 3 research centers for 24 months. Primary outcome was CVD risk measured by Framingham Risk Score (FRS) and The Chinese 10-year ischemic cardiovascular disease (ICVD) risk assessment tool. Secondary outcomes included in HOMA2-IR, HbA1c, blood pressure and serum lipid profile. RESULTS: Both RT and AT groups experienced a significant reduction in HOMA2-IR, HbA1c, LDL-C, TC, SBP, and DBP at the end of 12 and 24 months. Compared to the control group, Both RT and AT groups had significant reduction of the Chinese 10-year ICVD risk (P < 0.05), but FRS CVD risk declined significantly only in the AT group (all P < 0.05). Although FRS CVD risk decreased more in the RT group than in the control group, the difference was not statistically significant. After adjusting for age, gender, statin use, BMI, and WHR, in COX's proportional hazard model, RT (HR = 0.419, P = 0.037) and AT (HR = 0.310, P = 0.026) were protective factors for CVD risk in prediabetes patients. 24-month RT and AT decreased respectively 58.1% and 69.0% of CVD risk (10-year ICVD risk assessment) in prediabetes patients. CONCLUSIONS: This study demonstrated that 24-month moderate AT reduces the Chinese 10-year ICVD risk and FRS CVD risk in prediabetes patients. RT groups had significant reduction of CVD risk (10-year ICVD risk assessment) in prediabetes patients. TRIAL REGISTRATION: Clinical trial registration number: NCT02561377. DATE OF REGISTRATION: 24/09/2015.

Annual decline in ß-cell function in patients with type 2 diabetes in China.

BACKGROUND: The aim of this study was to investigate the annual decline of ß-cell function correlated with disease duration in patients with type 2 diabetes in China. METHODS: This cross-sectional study included 4792 adults with type 2 diabetes who were recruited from four university hospital diabetes clinics between April 2018 and November 2018. Baseline data were collected from electric medical records. Participants were divided into 21 groups with 1-year diabetes duration interval to assess the decline rate of ß-cell function. Homeostatic model assessment model (HOMA 2) model was applied to assess ß-cell function. Multiple linear regression model was used to evaluate the association between biochemical and clinical variables and ß-cell function. RESULTS: In Chinese patients with type 2 diabetes, ß-cell function declined by 2% annually. Using angiotensin receptor blockade (ARB) (ß = .048; P = .011), metformin (ß = .138; P = .021), or insulin (ß = .142; P = .018) was associated with increased ß-cell function. However, increased BMI (ß = -.215; P = .022), alcohol consumption (ß = -.331; P < .001), haemoglobin A1c (ß = -.104; P = .027), or increased diabetes duration (ß = -.183; P = .003) was significantly and negatively associated with ß-cell function. CONCLUSIONS: We determined that the annual rate of the ß-cell function decline was 2% in patients with type 2 diabetes in China. Moreover, we confirmed a positive relationship between ARB treatment and ß-cell function, while BMI and alcohol consumption were significantly and negatively associated with the ß-cell function.

Variations in Patient Safety Climate in Chinese Hospitals.

OBJECTIVES: Patient safety climate is associated with patient outcomes in hospitals around the world. A better understanding of how safety climate varies within and across hospitals will help identify improvement opportunities. We examined variations in safety climate by work area and job category in Chinese hospitals. METHODS: We administered the Chinese Hospital Survey on Patient Safety Climate in 2011 to workers in 6 hospitals in China, with completed surveys from 1464 (86% response). We calculated the percent positive response for survey items and dimensions among hospitals and compared this across work areas and job categories using general linear models. RESULTS: Overall, 68% of responses suggested the presence of a positive safety climate. The percent positive responses were highest for organizational learning (86.1%) and unit management support for safety (84.5%) and lowest for staffing (30.6%) and error reporting (44.5%). Workers in surgical units, intensive care units, operating rooms, and emergency departments were slightly more negative regarding overall safety climate than those in medical and ancillary units. Physicians reported worse perceptions than nurses or other hospital workers on all dimensions except for unit management support for safety and communication and peer support. CONCLUSIONS: The perceived problem with staffing in Chinese hospitals was consistent with other studies. The lack of positive responses for error reporting may indicate a lack of awareness of the importance of learning from and reporting minor events and near misses. Variations within and across hospitals in safety climate suggest that improvement interventions should be tailored to individual units and professional groups.

Effects of Insulin Therapy and Oral Hypoglycemic Agents on Glycemic Control for Type 2 Diabetes Mellitus Patients in China-A Case Control Study.

OBJECTIVE: The purpose of the study was to compare glycemic control in patients with type 2 diabetes (T2DM) receiving insulin therapy (IT) or oral hypoglycemic agents (OHA), and explore associations between treatment modality and pancreatic beta-cell function. METHODS: A matched, case-control study was conducted from April, 2016 to November, 2016. 2 272 patients with T2DM were identified from electronic medical records at four academic hospitals in China. Based on 1 136 eligible patients using IT, eligible 1 136 OHA patients were matched by age and duration at a ratio of 1:1. Logistic regression was used to examine the relationship between IT and glycemic control. Multiple linear regression addressed impact factors of HOMA-ß. RESULTS: There was no significant difference between IT and OHA groups in gender, age, diabetes duration, body mass index (BMI), fasting plasma glucose (FPG), systolic blood pressure (SBP), serum lipids and smoking history (p>0.05). We stratified subjects by diabetes duration, only when the duration was less than 5 years, HbA1c in OHA group was superior to IT (P=0.017). There were no significant differences between groups in HbA1c when disease duration was≥5 years. Even in subjects with short diabetes duration (<5 years), IT did not significantly impact glycemic control (p=0.071, OR=0.577). Multiple linear regression analysis showed that IT (p=0.001), diabetes duration (p=0.038), BMI (P<0.001), sulfonylurea use (P=0.001) were significant and independent predictors of HOMA-ß. CONCLUSIONS: In patients with short diabetes duration (<5 years), oral hypoglycemic therapy achieved better glycemic control than insulin therapy. Moreover, insulin use was not an impact factor of poor glycemic control. In addition, using insulin can protect beta-cell function.

HbA1c variability as an independent predictor of diabetes retinopathy in patients with type 2 diabetes.

AIMS: To evaluate the association of both mean HbA1c and HbA1c variability with DR development in patients with type 2 diabetes. METHODS: Patients with type 2 diabetes who received dilated funduscopic examination annually and who underwent at least 2-year follow-up were included in this longitudinal study. Subjects were excluded if they took less than five HbA1c measurements during the follow-up period. HbA1C variability was expressed as A1c-SD, and the mean of HbA1c (A1c-Mean) was calculated. In addition, medical history and clinical data of all subjects were collected and analyzed. According to A1c-Mean above or below the value 7% and A1c-SD above or below the population mean value 0.76%, subjects were divided into four quartiles: Q1(A1c-Mean < 7%, A1c-SD < 0.76%); Q2(A1c-Mean < 7%, A1c-SD ≥ 0.76%); Q3(A1c-Mean ≥ 7%, A1c-SD < 0.76%); Q4(A1c-Mean ≥ 7%, A1c-SD ≥ 0.76%). RESULTS: 3152 participants were included in the study analysis with a median follow-up period of 3.95 years (2-5 years), 17.6% (n = 556) were found to have DR, and these patients also had higher HbA1c levels (P < 0.001). Linear mixed-effect models were performed after adjusting for the characteristics of participants and the results showed that HbA1c variability is an independent risk factor for DR. Cox regression revealed that patients in Q4 group had the highest DR prevalence (HR = 1.624, P < 0.001) while Q1 group had the lowest. In addition, patients in Q2 group (HR = 1.429, P = 0.006) had a higher risk of DR than those in Q3 group (HR = 1.334, P < 0.001). CONCLUSIONS: HbA1c variability is an independent predictor of DR in patients with type 2 diabetes in Asia. It may play a greater role in DR development than mean HbA1c does when the mean value of HbA1c variability index is above 0.75%, indicating that aggressive A1c lowering strategies may, in fact, contribute excessively to risk of DR in patients with type 2 diabetes; steady decline of A1c should be taken into consideration.

Correction to: Sex differences in 10-year ischemic cardiovascular disease risk prediction in Chinese patients with prediabetes and type 2 diabetes.

After the publication of the original article [1], we were notified that one of the corresponding author's name and her related institution were wrongly spelled.