Aims: Type 2 diabetes mellitus (T2DM) is no longer regarded as a coronary risk equivalent, and heterogeneity of cardiovascular risk exists, suggesting that further risk stratification should be mandatory. This study aimed to determine the prevalence and clinical predictors of coronary artery calcium (CAC) score, and evaluate the CAC score as a predictor of cardiovascular outcome in a large asymptomatic T2DM cohort. Methods: A total of 2,162 T2DM patients were recruited from a Diabetes Shared Care Network and the CAC score was measured. Cardiovascular outcomes were obtained for 1,928 patients after a follow-up of 8.4 years. Multiple regression analysis and Cox proportional hazard regression were applied to identify clinical predictors of CAC and calculate the incidence and hazard ratios (HRs) for all-cause mortality and cardiovascular events by CAC category. Results: Of the recruited patients, 96.8% had one or more risk factors. The distribution of CAC scores was as follows: CAC=0 in 24.2% of the patients, 0 ＜CAC ≤ 100 in 41.5%, 100 ＜CAC ≤ 400 in 20.3%, CAC ＞400 in 14.7%. The multivariable predictor of increased CAC included age (years) (odds ratio, 1.07; 95% confidence interval, 1.06–1.08), male sex (1.82; 1.54–2.17), duration (years) of T2DM (1.07; 1.05–1.09), and multiple risk factors (1.94; 1.28–2.95). Increasing severity of CAC was associated with higher all-cause or cardiac mortality and higher incident cardiovascular events. The HRs for cardiac death or major cardiac events in CAC ＞400 vs CAC=0 were 8.67 and 10.52, respectively (p＜0.001) Conclusion: CAC scoring provides better prognostication of cardiovascular outcome than traditional risk factors in asymptomatic T2DM patients, and may allow identifying a high-risk subset for enhancing primary prevention.

Chronic kidney disease (CKD) is significantly associated with lung cancer incidence. The aim of this study was to elucidate whether influenza vaccination reduces the incidence of lung cancer in patients with CKD. This cohort study enrolled patients with a record of CKD diagnosis from 2000 to 2012 in Taiwan’s National Health Insurance Research Database. Included patients were divided into vaccinated and unvaccinated groups. In total 12,985 patients with CKD were enrolled. Among these patients, 5495 were vaccinated and 7490 were unvaccinated. The risk of lung cancer was significantly lower in the influenza vaccination group after adjusting for age, sex, dialysis status, lung diseases, comorbidities, level of urbanization, and monthly income (adjusted hazard ratio (HR): 0.50, 95% confidence interval (CI; 0.38–0.65), p < 0.05). Lower risk of lung cancer was observed in both sexes, all age groups, dialysis status and co-existed lung diseases. The association between the risk of lung cancer and vaccination appeared to be dose-dependent (adjusted HRs: 0.91 (0.66–1.25), 0.49 (0.34–0.71), and 0.25 (0.17–0.38) for patients who received 1, 2 or 3, and ≥4 vaccinations during the follow-up period, respectively). In conclusion, Influenza vaccination decreased the risk of lung cancer in patients diagnosed with CKD. This potentially protective effect against lung cancer appeared to be dose dependent.

Machine learning (ML) algorithms have been applied to predicting coronary artery disease (CAD). Our purpose was to utilize autoantibody isotypes against four different unmodified and malondialdehyde (MDA)-modified peptides among Taiwanese with CAD and healthy controls (HCs) for CAD prediction. In this study, levels of MDA, MDA-modified protein (MDA-protein) adducts, and autoantibody isotypes against unmodified peptides and MDA-modified peptides were measured with enzyme-linked immunosorbent assay (ELISA). To improve the performance of ML, we used decision tree (DT), random forest (RF), and support vector machine (SVM) coupled with five-fold cross validation and parameters optimization. Levels of plasma MDA and MDA-protein adducts were higher in CAD patients than in HCs. IgM anti-IGKC^76–99 MDA and IgM anti-A1AT^284–298 MDA decreased the most in patients with CAD compared to HCs. In the experimental results of CAD prediction, the decision tree classifier achieved an area under the curve (AUC) of 0.81; the random forest classifier achieved an AUC of 0.94; the support vector machine achieved an AUC of 0.65 for differentiating between CAD patients with stenosis rates of 70% and HCs. In this study, we demonstrated that autoantibody isotypes imported into machine learning algorithms can lead to accurate models for clinical use.

Background: Previous studies show that using 12‐lead electrocardiogram (ECG) or 24‐h ECG monitor for the detection of cardiac arrhythmia events in patients with stroke or syncope is ineffective.Hypothesis: The 14‐day continuous ECG patch has higher detection rates of arrhythmias compared with conventional 24‐h ECG monitoring in patients with ischemic stroke or syncope.Methods: This cross‐sectional study of patients with newly diagnosed ischemic stroke or syncope received a 24‐h ECG monitoring and 14‐day continuous cardiac monitoring patch and the arrhythmia events were measured.Results: This study enrolled 83 patients with ischemic stroke or syncope. The detection rate of composite cardiac arrhythmias was significantly higher for the 14‐day ECG patch than 24‐h Holter monitor (69.9% vs. 21.7%, p = .006). In patients with ischemic stroke, the detection rates of cardiac arrhythmias were 63.4% for supraventricular tachycardia (SVT), 7% for ventricular tachycardia (VT), 5.6% for atrial fibrillation (AF), 4.2% for atrioventricular block (AVB), and 1.4% for pause by 14‐day ECG patch, respectively. The significant difference in arrhythmic detection rates were found for SVT (45.8%), AF (6%), pause (1.2%), AVB (2.4%), and VT (9.6%) by 14‐day ECG patch but not by 24‐h Holter monitor in patients with ischemic stroke or syncope.Conclusions: A 14‐day ECG patch can be used on patients with ischemic stroke or syncope for the early detection of AF or other cardiac arrhythmia events. The patch can be helpful for physicians in planning medical or mechanical interventions of patients with ischemic stroke and occult AF.

Patients with type 2 diabetes mellitus (T2DM) have a higher risk of chronic kidney disease (CKD) due to vascular complications and chronic inflammation. T2DM contributes to a higher risk of mortality and morbidity related to influenza. In Taiwan, influenza vaccination is recommended for patients with T2DM. A previous meta-analysis reported the efficacy of influenza vaccination in reducing hospitalization and mortality in patients with diabetes; however, the renal protective effect of the vaccine remains unclear. This study evaluated whether influenza vaccination could reduce the incidence of CKD and dialysis in patients with T2DM. The study cohort included all patients aged ≥55 years who were diagnosed as having T2DM between 1 January 2000 and 31 December 2012, by using data from Taiwan’s National Health Insurance Research Database. Each patient was followed up with to assess factors associated with CKD. A time-dependent Cox proportional hazard regression model after adjustment for potential confounders was used to calculate the hazard ratio (HR) of CKD in the vaccinated and unvaccinated patients. The study population comprised 48,017 eligible patients with DM; 23,839 (49.7%) received influenza vaccination and the remaining 24,178 (50.3%) did not. The adjusted HRs (aHRs) for CKD/dialysis decreased in the vaccinated patients compared with the unvaccinated patients (influenza season, noninfluenza season, and all seasons: aHRs: 0.47/0.47, 0.48/0.49, and 0.48/0.48, respectively, all p < 0.0001). We observed similar protective effects against CKD during the influenza and noninfluenza seasons. Regardless of comorbidities or drug use, influenza vaccination was an independent protective factor. Furthermore, aHRs for CKD/dialysis were 0.71 (0.65–0.77)/0.77 (0.68–0.87), 0.57 (0.52–0.61)/0.69 (0.56–0.70), and 0.30 (0.28–0.33)/0.28 (0.24–0.31) in the patients who received 1, 2–3, and ≥4 vaccinations during the follow-up period, respectively. This population-based cohort study demonstrated that influenza vaccination exerts a dose-dependent and synergistic protective effect against CKD in the patients with T2DM with associated risk factors.