Effects of a competence-based approach for clerkship teaching under alternating clinical placements: An explanatory sequential mixed-methods research.

BACKGROUND: It is unclear whether alternating placements during clinical clerkship, without an explicit emphasis on clinical competencies, would bring about optimal educational outcomes. METHODS: This is an explanatory sequential mixed-methods research. We enrolled a convenience sample of 41 eight-year programme medical students in Sun Yat-sen University who received alternating placements during clerkship. The effects of competence-based approach (n = 21) versus traditional approach (n = 20) to clerkship teaching were compared. In the quantitative phase, course satisfaction was measured via an online survey and academic performance was determined through final scores on summative assessment. Then, in the qualitative phase, students were invited for semi-structured interviews about their learning experiences, and the transcripts were used for thematic analysis. RESULTS: Quantitative findings showed that students in the study group rated high course satisfaction and performed significantly better in their final scores compared with those in the control group. Qualitative findings from thematic analysis showed that students were relatively neutral about their preference on placement models, but clearly perceived, capitalised, and appreciated that their competencies were being cultivated by an instructor who was regarded as a positive role model. CONCLUSION: A competence-based approach to clerkship teaching resulted in better course satisfaction and academic performance, and was perceived, capitalised, and appreciated by students.

GP73 enhances the ox-LDL-induced inflammatory response in THP-1 derived macrophages via affecting NLRP3 inflammasome signaling.

BACKGROUND: Atherosclerosis is a chronic inflammatory disease with its molecular basis incompletely understood. Here, we determined whether the Golgi phosphoprotein 73 (GP73), a novel protein highly related to inflammation and disrupted lipid metabolism, was involved in the development of atherosclerosis. METHODS: Public microarray databases of human vascular samples were analyzed for expression patterns. Apolipoprotein-E-gene-deficient (ApoE-/-) mice (8-week-old) were randomly assigned to either a chow diet group or a high-fat diet group. The levels of serum GP73, lipid profiles and key inflammatory cytokines were determined by ELISA. The aortic root plaque was isolated and used for by Oil Red O staining. PMA-differentiated THP-1 macrophages were transfected with GP73 small interfering RNA (siRNA) or infected with adenovirus expressing GP73, and then stimulated with oxidized low density lipoprotein (ox-LDL). The expressions of pro-inflammatory cytokines and signal pathway key targets were determined by ELISA kit and Western blot respectively. In addition, ichloro-dihydro-fluorescein diacetate (DCFH-DA) was used to measure the intracellular ROS levels. RESULTS: The expressions of GP73 and NLRP3 were substantially upregulated in human atherosclerotic lesions. There were significant linear correlations between GP73 and inflammatory cytokines expressions. High-fat diet-induced atherosclerosis and increased levels of plasma inflammatory mediators (IL-1ß, IL-18, and TNF-α) were observed in ApoE-/- mice. Besides, the expressions of GP73 in the aorta and serum were significantly upregulated and positively correlated with the NLRP3 expression. In the THP-1 derived macrophages, ox-LDL treatment upregulated the expressions of GP73 and NLRP3 proteins and activated the inflammatory responses in a concentration-dependent and time-dependent manner. Silencing of GP73 attenuated the inflammatory response and rescued the decreased migration induced by ox-LDL, inhibiting the NLRP3 inflammasome signaling and the ROS and p-NF-κB activation. CONCLUSIONS: We demonstrated that GP73 promoted the ox-LDL-induced inflammation in macrophages by affecting the NF-κB/NLRP3 inflammasome signaling, and may play a role in atherosclerosis.

Targeting efficacy of spironolactone in patients with heart failure with preserved ejection fraction: the TOPCAT study.

AIMS: We aimed to explore the heterogeneous treatment effects (HTEs) for spironolactone treatment in patients with Heart failure with preserved ejection fraction (HFpEF) and examine the efficacy and safety of spironolactone medication, ensuring a better individualized therapy. METHODS AND RESULTS: We used the causal forest algorithm to discover the heterogeneous treatment effects (HTEs) from patients in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial. Cox regressions were performed to assess the hazard ratios (HRs) of spironolactone medication for cardiovascular death and drug discontinuation in each group. The causal forest model revealed three representative covariates and participants were partitioned into four subgroups which were Group 1 (baseline BMI ≤ 31.71 kg/m2 and baseline ALP ≤ 80 U/L, n = 759); Group 2 (BMI ≤ 31.71 kg/m2 and ALP > 80 U/L, n = 1088); Group 3 (BMI > 31.71 kg/m2 , and WBC ≤ 6.6 cells/µL, n = 633); Group 4 (BMI > 31.71 kg/m2 and WBC > 6.6 cells/µL, n = 832), respectively. In the four subgroups, spironolactone therapy reduced the risk of cardiovascular death in high-risk group (Group 4) with both high BMI and WBC count (HR: 0.76; 95% CI 0.58 to 0.99; P = 0.045) but increased the risk in low-risk group (Group 1) with both low BMI and ALP (HR: 1.45; 95% CI 1.02 to 2.07; P = 0.041; P for interaction = 0.020) but showed similar risk of drug discontinuation (P for interaction = 0.498). CONCLUSION: Our study manifested the HTEs of spironolactone in patients with HFpEF. Spironolactone treatment in HFpEF patients is feasible and effective in patients with high BMI and WBC while harmful in patients with low BMI and ALP. Machine learning model could be meaningful for improved categorization of patients with HFpEF, ensuring a better individualized therapy in the clinical setting.

Deep Phenotyping and Prediction of Long-term Cardiovascular Disease: Optimized by Machine Learning.

BACKGROUND: Prediction of cardiovascular disease (CVD) is important in clinical practice. Machine learning (ML) may offer an improved alternative to current CVD risk stratification in individual patients. We aim to identify important predictors and compare ML models with traditional models according to their prediction performance in a large long-term follow-up cohort. METHODS: The Atherosclerosis Risk in Communities (ARIC) study was designed to study the progression of subclinical disease to cardiovascular events over a 25-year follow-up period. All phenotypic variables at visit 1 were obtained. All-cause death, CVD, and coronary heart disease were the outcomes for analysis. The ML framework involved variable selection using the random survival forest (RSF) method, model building, and 5-fold cross-validation. Model performance was evaluated by discrimination using the Harrell concordance index (C-index), accuracy using the Brier score (BS), and interpretability using the number of variables in the model. RESULTS: Of the 14,842 participants in ARIC, the average age was 54.2 years, with 45.2% male and 26.2% Black participants. Thirty-eight unique variables were selected in the RSF top 20 importance ranking of all 6 outcomes. Aging, hypertension, glucose metabolism, renal function, coagulation, adiposity, and sodium retention dominated the predictions of all outcomes. The ML models outperformed the regression models and established risk scores with a higher C-index, lower BS, and varied interpretability. CONCLUSIONS: The ML framework is useful for identifying important predictors of CVD and for developing models with robust performance compared with existing risk models.

Causal effect of education on type 2 diabetes: A network Mendelian randomization study.

BACKGROUND: The causality between education and type 2 diabetes (T2DM) remains unclear. AIM: To identify the causality between education and T2DM and the potential metabolic risk factors [coronary heart disease (CHD), total cholesterol, low-density lipoprotein, triglycerides (TG), body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), fasting insulin, fasting glucose, and glycated hemoglobin] from summarized genome-wide association study (GWAS) data used a network Mendelian randomization (MR). METHODS: Two-sample MR and network MR were performed to obtain the causality between education-T2DM, education-mediator, and mediator-T2DM. Summary statistics from the Social Science Genetic Association Consortium (discovery data) and Neale Lab consortium (replication data) were used for education and DIAGRAMplusMetabochip for T2DM. RESULTS: The odds ratio for T2DM was 0.392 (95%CI: 0.263-0.583) per standard deviation increase (3.6 years) in education by the inverse variance weighted method, without heterogeneity or horizontal pleiotropy. Education was genetically associated with CHD, TG, BMI, WC, and WHR in the discovery phase, yet only the results for CHD, BMI, and WC were replicated in the replication data. Moreover, BMI was genetically associated with T2DM. CONCLUSION: Short education was found to be associated with an increased T2DM risk. BMI might serve as a potential mediator between them.

A systematic review of guidelines for dual antiplatelet therapy in coronary artery bypass graft.

BACKGROUND: In most situations, many patients undergoing coronary artery bypass graft (CABG) are on dual antiplatelet therapy (DAPT), which is also required after CABG. The adjustment of antiplatelet strategy remains controversial. In this study, we systematically review current guidelines, seeking consensus and controversies to facilitate clinical practice. METHODS AND RESULTS: Guidelines are searched in PubMed, Embase, ECRI Guidelines Trust and websites of guidelines organizations and professional society. Guidelines with recommendations of DAPT for patients undergo CABG are included. Two reviewers appraised guidelines with the Appraisal of Guidelines for Research and Evaluation II (AGREE II). Relevant recommendations are extracted and summarized. A total of 14 guidelines meeting inclusion criteria are selected, with average AGREE II scores from 44% to 86%. Most guidelines score high in domains other than 'applicability'. Many guidelines are not detailed enough in reporting considerations behind recommendations. Current guidelines are consistent on the management of antiplatelet strategy before elective CABG and using DAPT after surgery for preventing graft vessel occlusion. Evidence is still lacking in urgent CABG and resumption of the previous DAPT after surgery. CONCLUSIONS: Current guidelines on DAPT in CABG are generally satisfying. Suspending P2Y12 inhibitors while aspirin continued before elective CABG is recommended, as well as 12 months of DAPT following CABG. More evidence is needed to guide antiplatelet therapy in urgent CABG and to prove the benefits of resuming previous DAPT.

Education and heart failure: New insights from the atherosclerosis risk in communities study and mendelian randomization study.

INTRODUCTION: We aim to characterize the nature and magnitude of the prospective association between education and incident heart failure (HF) in the Atherosclerosis Risk in Communities (ARIC) Study and investigate any causal relevance to the association between them. METHODS: The final sample size was 12,315 in this study. Baseline characteristics between education levels were compared using 1-way ANOVA test, the Kruskal-Wallis test, or the χ2 test. We used the Kaplan-Meier estimate to compute the cumulative incident of HF by education levels and the difference in estimate was compared using the log-rank test. Cox hazard regression models were used to explore the association between education levels and incident HF. Two-sample Mendelian randomization (MR) based on publicly available summary-level data from genome-wide association studies (GWASs) was used to estimate the causal influence of the education and incident HF. RESULTS: During a median follow-up of 25.1years, 2453 cases (19.9%) of incident HF occurred. After multiple adjustments in the final model, participants in the intermediate and advanced education levels were still associated with 18% and 21% decreased rate of incident HF separately. In MR analysis, we detected a protective causal association between education and HF (P=0.005). CONCLUSIONS: Participants with higher education levels were associated with a decreased rate of incident HF. There was a causal association between education and HF.

Association between serum cystatin C level and hemodynamically significant aortic stenosis: a prospective cohort study.

BACKGROUND: Cystatin C (CysC) is a cysteine protease inhibitor involved in proteins catabolism and plays an essential role in human vascular pathophysiology. CysC may also increase the risk of aortic stenosis (AS), but limited studies have reported on this association. This study aimed to investigate if elevated serum CysC levels are associated with hemodynamically significant AS. METHODS: Serum CysC levels were estimated in 4,791 participants, samples were collected in 1990-1992. The study population was divided into quintile groups. Follow-up continued in 2011-2013 when participants returned for echocardiography examination. Incidence of aortic valve disease (AVD) was ascertained by Doppler echocardiography through the end of 2013. AVD defined in hemodynamic progression was assessed and classified as aortic sclerosis, mild stenosis, and moderate-to-severe stenosis. RESULTS: Overall, a total of 4,791 participants (mean age: 54.8 ± 5.0 years, females: 57.6%, blacks: 8.2%) were included in this study. During a follow-up of 21 years, we identified 736 cases (15.4%) of aortic sclerosis, 194 cases (4.0%) of mild stenosis, and 42 cases (0.7%) of moderate-to-severe stenosis. Compared with serum CysC levels within individual quintile groups, the odds ratio (OR) was per standard deviation associated with an increased incidence of AVD (OR = 1.15, 95% CI: 1.05-1.26,P = 0.002). CONCLUSIONS: In this large population-based study, an increased serum CysC levels is independently associated with the incidence of hemodynamically significant AS. However, this association appears not to extend to patients with extremely high serum CysC levels and necessitate further investigation.

Long-term tracking of fasting blood glucose variability and peripheral artery disease in people without diabetes.

INTRODUCTION: Long-term changes of fasting blood glucose (FBG) in relation to lower-extremity peripheral artery disease (lower-extremity PAD) in people without diabetes has barely been reported. Our study aimed to investigate the association between FBG variability and the incidence of lower-extremity PAD in people without diabetes. RESEARCH DESIGN AND METHODS: We included 7699 participants without prior lower-extremity PAD and diabetes from the Atherosclerosis Risk in Communities study in the final analysis. At least two measurements of FBG were required during follow-up. Variability of FBG was identified using SD, coefficient of variation (CV), variability independent of the mean (VIM) and average real variability. Lower-extremity PAD was defined as an ankle brachial index <0.9, or hospitalization with a lower-extremity PAD diagnosis. Cox regression model was used to calculate HR for incidence of lower-extremity PAD and FBG variability. RESULTS: During a median follow-up of 19.5 years, 504 (6.5 %) lower-extremity PAD events were observed, 54.4% (n=274) were male, and 17.5% (n=88) were African-American. FBG variability was positively associated with incident lower-extremity PAD, with a linear relationship. HRs for CV and VIM were 1.015 (95% CI: 1.001 to 1.03; p=0.023), and 1.032 (95% CI: 1.004 to 1.06; p=0.022) for lower-extremity PAD, respectively. Participants in the lowest quartile of CV were at lower lower-extremity PAD risk compared with the highest ones (HR: 1.499, 95% CI: 1.16 to 1.938; p=0.002). CONCLUSIONS: Higher FBG variability was independently associated with increased prevalence of lower-extremity PAD in people without diabetes. TRIAL REGISTRATION NUMBER: NCT00005131.

Exploring the causal pathway from body mass index to coronary heart disease: a network Mendelian randomization study.

BACKGROUND: We applied a network Mendelian randomization (MR) framework to determine the causal association between body mass index (BMI) and coronary heart disease (CHD) and explored whether glycated hemoglobin (HbA1c) and lipid parameters (total cholesterol, TC; low-density lipoprotein cholesterol, LDL; high-density lipoprotein cholesterol, HDL; triglycerides, TG) serve as causal mediators from BMI to CHD by integrating summary-level genome-wide association study data. METHODS: Network MR analysis, an approach using genetic variants as the instrumental variables for both the exposure and mediator to infer causality was performed. Summary statistics from the GIANT consortium were used (n = 152,893) for BMI, CARDIoGRAMplusC4D consortium data were used (n = 184,305) for CHD, Global Lipids Genetics Consortium data were used (n = 108,363) for TC, LDL, HDL and TG, and MAGIC consortia data were used (n = 108,363) for HbA1c. RESULTS: The inverse-variance-weighted-method estimate indicated that the odds ratio (95% confidence interval) for CHD was 1.562 (1.391-1.753) per 1 standard deviation (kg/m2) increase in BMI. Results were consistent in MR Egger method and weighted-median methods. MR estimate indicated that BMI was positively associated with HbA1c and TG, and negatively associated with HDL, but was not associated with TC or LDL. Moreover, HbA1c, TC, LDL, and TG were positively associated with CHD, yet there was no causal association between HDL and CHD. HbA1c was positively associated with TC, LDL, and HDL, but was not associated with TG. CONCLUSIONS: Higher BMI conferred an increased risk of CHD, which was partially mediated by HbA1c and lipid parameters. HbA1c and TG might be the main mediators in the link from BMI to CHD.

Causal assessment of sleep on coronary heart disease.

OBJECTIVE: Sleep is an essential physiological process that protects our physical and mental health. However, the causality of the association between sleep and coronary heart disease (CHD) is unknown. Mendelian randomization (MR), using genetic variants as instrumental variables to test for causality, can infer credible causal associations. We applied a two-sample MR framework to determine the causal association between sleep (sleeplessness, sleep duration, and daytime dozing) and CHD by integrating summary-level genome-wide association study (GWAS) data. METHODS: Data included in this study were the GWAS summary statistics datasets from the C4D Consortium for CHD; Neale Lab UKB-a:13 Consortium for sleeplessness; Neale Lab UKB-a:9 Consortium for sleep duration and Neale Lab UKB-a:15 Consortium for daytime dozing. The conventional MR approach (inverse variance weighted, IVW) method and Egger method were used. Heterogeneity was calculated using each of the different MR methods where possible. Horizontal pleiotropy was evaluated by p-value of the MR-Egger intercept. RESULTS: The IVW method estimate indicated that the odds ratio (OR) (95% confidence interval, CI) for CHD was 3.924 (1.345-11.447) per standard deviation increase in sleeplessness (p = 0.012). Results were consistent in MR-Egger method (OR, 4.654; 95% CI, 1.191-18.186; p = 0.009). The genetically predicted sleeplessness was positively casually associated with CHD. The causal association between sleep duration (or daytime dozing) and CHD was not established. CONCLUSION: Our analysis provided evidence supporting a causal relationship between sleeplessness (not sleep duration or daytime dozing) and CHD.

Exploring the causal pathway from omega-6 levels to coronary heart disease: A network Mendelian randomization study.

BACKGROUND AND AIMS: Evidence on the effect of omega-6 fats on coronary heart disease (CHD) risk remains inconclusive. We applied a network MR framework to determine the causal effects between omega-6 levels and CHD and the potential cholesterol metabolic risk factors (Total cholesterol, TC; Low-density lipoprotein cholesterol, LDL-C; High-density lipoprotein cholesterol, HDL-C; Triglycerides, TG) which might act as mediators in the link between omega-6 levels and CHD by integrating summary-level genome wide association study (GWAS) data. METHODS AND RESULTS: Network MR analysis-an approach using genetic variants as the instrumental variables for both the exposure and mediator to infer causality was performed to examine the causal effects between omega-6 levels and CHD and cholesterol metabolic risk factors. Summary statistics from the Kettunen et al. 's consortium were used (n = 13506) for omega-6, CARDIoGRAMplusC4D consortium data were used (n = 184305) for CHD, and GLGC consortia data were used (n = 108363) for TC, LDL-C, HDL-C, and TG. The IVW method estimate indicated that the odds ratio (OR) (95% confidence interval [CI]) for CHD was 1.210 (1.118-1.310) per standard deviation increase in omega-6. Results were consistent in MR Egger method (OR, 1.418; 95% CI, 1.087-1.851; P = 0.050) and weighted median methods (OR, 1.239; 95% CI, 1.125-1.364; P = 0.000). Omega-6 was positively causal associated with TC, LDL-C, and TG but was not associated with HDL-C. Moreover, TC, LDL-C, and TG were positively associated with CHD. CONCLUSIONS: Using a network MR framework, we provided evidence supporting a positive causal relationship between omega-6 and CHD, which might be partially mediated by TC, LDL-C, and TG.

Serum albumin and atrial fibrillation: insights from epidemiological and mendelian randomization studies.

Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. Low serum albumin level is linked to the emergence of many cardiovascular diseases, including AF. In this study, we aim to characterize the nature and magnitude of the prospective association between serum albumin and incident AF in the Atherosclerosis Risk in Communities (ARIC) Study and investigate any causal relevance to the association between them. ARIC Study is a population-based, prospective, cohort study of cardiovascular risk factors in four US communities, initially consisting of 15,792 participants, aged 45-64 years, recruited between 1987 and 1989 (visit 1). The final sample size was 12,833 in this study. Baseline (visit 1) characteristics were compared between groups using one-way ANOVA test, Chi square test, or Kruskal-Wallis test as appropriate. We used multivariable Cox' hazard regression models to assess the association between albumin and incident AF. Two-sample Mendelian randomization (MR) based on publicly available summary-level data from genome-wide association studies was used to estimate the causal influence of the serum albumin and incident AF. During a median follow-up of 25.1 years, 2259 (17.6%) participants developed incident AF. After multiple adjustment, serum albumin was inversely associated with incidence of AF [HR = 0.90, 95% CI 0.86-0.94, per SD (0.27 g/dL) increase; HR = 0.80, 95% CI 0.71-0.91, Q4 vs. Q1]. In MR analysis, we detected no evidence for a causal relation between serum albumin level and AF in inverse-variance weighted (IVW) method (odds ratio: 0.996, 95% CI 0.980-1.012, per 1 g/dL increase of albumin; P = 0.620) without evidence of heterogeneity between estimates from individual SNPs (Pheterogeneity = 0.981 [MR-Egger] and Pheterogeneity = 0.860 [IVW]) nor pleiotropy effect (Ppleiotropy = 0.193). The serum albumin level is independently inverse associated with incident AF in a linear pattern. However, MR analyses did not support a causal role of serum albumin in the etiology of AF.

Phenomapping of subgroups in hypertensive patients using unsupervised data-driven cluster analysis: An exploratory study of the SPRINT trial.

BACKGROUND: Hypertensive patients are highly heterogeneous in cardiovascular prognosis and treatment responses. A better classification system with phenomapping of clinical features would be of greater value to identify patients at higher risk of developing cardiovascular outcomes and direct individual decision-making for antihypertensive treatment. METHODS: An unsupervised, data-driven cluster analysis was performed for all baseline variables related to cardiovascular outcomes and treatment responses in subjects from the Systolic Blood Pressure Intervention Trial (SPRINT), in order to identify distinct subgroups with maximal within-group similarities and between-group differences. Cox regression was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for cardiovascular outcomes and compare the effect of intensive antihypertensive treatment in different clusters. RESULTS: Four replicable clusters of patients were identified: cluster 1 (index hypertensives); cluster 2 (chronic kidney disease hypertensives); cluster 3 (obese hypertensives) and cluster 4 (extra risky hypertensives). In terms of prognosis, individuals in cluster 4 had the highest risk of developing primary outcomes. In terms of treatment responses, intensive antihypertensive treatment was shown to be beneficial only in cluster 4 (HR 0.73, 95% CI 0.55-0.98) and cluster 1 (HR 0.54, 95% CI 0.37-0.79) and was associated with an increased risk of severe adverse effects in cluster 2 (HR 1.18, 95% CI 1.05-1.32). CONCLUSION: Using a data-driven approach, SPRINT subjects can be stratified into four phenotypically distinct subgroups with different profiles on cardiovascular prognoses and responses to intensive antihypertensive treatment. Of note, these results should be taken as hypothesis generating that warrant further validation in future prospective studies.

Comparative outcomes of heart failure among existent classes of anti-diabetic agents: a network meta-analysis of 171,253 participants from 91 randomized controlled trials.

BACKGROUND: The cardiovascular (CV) safety in terms of heart failure among different classes of treatment remains largely unknown. We sought to assess the comparative effect of these agents on heart failure outcomes. METHODS: This study was registered in the International Prospective Register of Systematic Reviews (CRD 42016042063). MEDLINE, EMBASE, and the Cochrane Library Central Register of Controlled Trials were searched. For the primary outcomes reported previously, studies between Jan 1, 1980 and June 30, 2016 were screened, and subsequently updated till Jan 24, 2019. We performed network meta-analysis to obtain estimates for the outcomes of heart failure, in particular by rankograms for ranking of heart failure risk as well as by pairwise comparisons among all classes of anti-diabetic medications. RESULTS: A total of 91 trials were included, among which were 171,253 participants and 4163 reported cases of heart failure events. As for rankograms, the surface under the cumulative ranking curves (SUCRA) of sodium-glucose co-transporters 2 and thiazolidinediones were 93.4% and 4.3%, respectively, signifying the lowest and highest risk of heart failure, respectively. As for pairwise comparisons in the network, sodium-glucose co-transporters 2 were significantly superior to insulin (OR: 0.75, 95% CI 0.62-0.91), dipeptidyl peptidase 4 inhibitors (OR: 0.68, 95% CI 0.59-0.78), glucagon-like peptide-1 receptor agonists (OR: 0.65, 95% CI 0.54-0.78), and thiazolidinediones (OR: 0.46, 95% CI 0.27-0.77) in terms of heart failure risk. Furthermore, in an exploratory analysis among subjects with underlying heart failure or at risk of heart failure, the superiority of sodium-glucose co-transporters 2 was still significant. CONCLUSIONS: In terms of heart failure risk, sodium-glucose co-transporters 2 were the most favorable option among all classes of anti-diabetic medications.

The PROFILE of assessment program for internal medicine internship of Sun Yat-Sen University.

Objective: To reflectively look at the present methods by which the clinical competence of 5th-year medical students (i.e. interns) in Sun Yat-Sen University (SYSU) are assessed upon finishing internship rotation in internal medicine (IM). Methods: Current procedures for the competence assessment of end-of-rotation IM interns in the First Affiliated Hospital of SYSU were reviewed, along with a point-by-point appraisal based on the PROFILE approach to structured assessment, and, whenever possible, suggestions for future improvement. Results and discussions: On a scale of 1-10, with 10 being the best or the most ideal, our marks for current methods to assess end-of-rotation IM interns in terms of being Programmatic, Real-World, Outcome-based, Formative, Impactful, Learner-engaged, and Evaluation-guaranteed were 7, 9, 3, 4, 6, 8, and 1, respectively. The strengths, weaknesses as well as potential solutions in each of the seven aspects are also discussed separately. Conclusions: Current assessment program for IM internship is strong in being programmatic, real-world, educationally impactful and learner engaged, and has room for further improvement in its time-based arrangements, relative shortage of feedback provision, as well as a systematic lack of quality control measures.

Comparative cardiovascular outcomes in the era of novel anti-diabetic agents: a comprehensive network meta-analysis of 166,371 participants from 170 randomized controlled trials.

BACKGROUND: Cardiovascular (CV) safety of one anti-diabetic medication over another remains partially delineated. We sought to assess the comparative effect on CV outcomes among novel anti-diabetic agents. METHODS: This study was registered with the International Prospective Register of Systematic Reviews (CRD 42016042063). MEDLINE, EMBASE, and Cochrane Library Central Register of Controlled Trials were searched between Jan 1, 1980, and June 30, 2016. Randomized controlled trials comparing anti-diabetic drugs with other comparators in adults with type 2 diabetes were included. We used network meta-analysis to obtain estimates for the outcomes of interests. In addition, post hoc correlation analysis of severe hypoglycemia and primary outcome as per ranking order was conducted. Outcomes were major adverse cardiovascular events (MACE) and all-cause mortality. RESULTS: A total of 170 trials (166,371 participants) were included. By class and by individual, sulfonylureas (SU) ranked last. Therefore, with SU as reference, categorically sodium-glucose co-transporter 2 inhibitor (SGLT2i), insulin (INS), glucagon-like peptide-1 receptor agonist, and dipeptidyl peptidase 4 inhibitor were significantly superior in term of MACE; as were SGLT2i and INS in term of all-cause mortality. Moreover, ranking orders of MACE and all-cause mortality were both positively correlated with that of severe hypoglycemia risk (by individual: R2 = 0.3178, P = 0.018; by class: R2 = 0.2574, P = 0.038). CONCLUSIONS: Novel anti-diabetic agents possess favorable CV safety profile, despite small but robust differences between individuals. In addition, increase in CV risk was again shown to be partly attributable to a concomitant increase in the risk of severe hypoglycemia, for which SU performed the worst.

Serum Klotho, vitamin D, and homocysteine in combination predict the outcomes of Chinese patients with multiple system atrophy.

AIMS: Neuroinflammation contributed to the pathogenesis of multiple system atrophy (MSA). We aimed to detect the correlation between inflammatory mediators, such as Klotho (Klt), vitamin D (25(OH)D) and homocysteine (Hcy), and disease severity among MSA patients. METHODS: A total of 53 MSA patients, 65 PD patients, and 62 normal subjects were recruited in our cross-sectional study. Serum Klotho (Klt), vitamin D (25(OH)D), and homocysteine (Hcy) levels were measured. Several scales were undertaken to assess the motor/nonmotor function and cognitive impairment of MSA. RESULTS: Decreased Serum Klt and 25(OH)D levels and increased Hcy levels were found in patients with MSA, compared with healthy controls. These results were more pronounced in male patients. The three biomarkers also displayed differences between MSA and PD subgroups based on genders. Interestingly, Klt, 25(OH)D and Hcy levels associated with cognition impairment, motor dysfunction, mood/cardiovascular disorder among MSA patients. In addition, the combination of Klt, 25(OH)D and Hcy had a better diagnostic ability for distinguishing MSA patients from healthy subjects, as well as distinguishing male MSA patients from male PD patients. CONCLUSION: This study suggested that Klt, 25(OH)D and Hcy levels could be a potential predictor for MSA severity evaluation.

A Nomogram to Predict Contrast Induced Nephropathy in Patients Undergoing Percutaneous Coronary Intervention.

Contrast-induced nephropathy (CIN) is the third leading cause of hospital-acquired acute kidney injury (AKI). Emerging evidence has revealed that soluble klotho (sklotho) could be a novel biomarker for early AKI diagnosis. The aims of this study were to assess the predictive role of sklotho for CIN and to develop a prediction nomogram in patients undergoing percutaneous coronary intervention (PCI). This study is registered on Clinicaltrials.gov (NCT 02650336).Patients aged 18 years or older undergoing planned PCI were prospectively recruited between May 2014 and July 2015. CIN was defined as an increase in serum creatinine of 0.5 mg/dL within 48-72 hours after the procedure. Plasma sklotho was measured by enzyme linked immunosorbent assay (ELISA). Stratified analysis, interaction test, covariate screening, and curve fitting were performed to explore the association between sklotho and CIN. A nomogram was then developed and validated using the bootstrapped technique.A total of 192 patients aged 54.75 ± 12.19 years were selected, 32 (16.7%) of whom were diagnosed with CIN. A logistic regression model indicated significant associations between CIN and sklotho, age > 75 years, diabetes, and the Mehran risk score. Saturation effects analysis detected a two-stage change between sklotho and CIN, with the inflection point was 477.4 pg/mL. The area under the ROC curve was 0.758 and the sensitivity and specificity of this point were 90.6% and 53.9%, respectively. A nomogram was developed for the prediction of CIN and showed a bootstrapped-corrected area under the curve value of 0.913. In addition, sklotho significantly increased the predictive value of the nomogram.A strong association between sklotho and CIN was identified in patients undergoing elective PCI. A lower level of sklotho would be well correlated with CIN. The nomogram with sklotho is a useful tool to predict CIN in patients who will undergo PCI.