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Objective. To establish and validate a nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) in patients with nasopharyngeal carcinoma (NPC) receiving radiotherapy by integrating multiple independent prognostic factors. Materials and Methods. Data from 5663 patients with NPC who received definite radiotherapy between 2004 and 2018 were included and divided into training and validation cohorts. Univariate and multivariate Cox regression analyses were performed to determine the independent prognostic factors of patients with NPC after radiotherapy. Thereafter, the predictive accuracy of the nomogram model was evaluated. Results. Age, race, marital status, pathological type, tumor size, T stage, N stage, M stage, American Joint Committee on Cancer stage, and chemotherapy were independent factors affecting the prognosis of patients with NPC receiving radiotherapy. Nomograms with a concordance index of 0.726 (95% confidence interval (CI): 0.675–0.777) and 0.732 (95% CI: 0.680–0.785) were able to predict OS and CSS, respectively. The area under the curve showed excellent predictive performance. Additionally, the calibration curve indicated that the predicted survival rate was consistent with the actual survival rate, and the decision curve indicated its clinical value. The established risk stratification system was able to accurately stratify patients receiving radiotherapy for NPC into three risk subgroups with significant differences in prognosis (P < 0.05). Conclusions. The constructed nomogram had good prognostic performance and could be used as an effective tool to evaluate the prognosis of patients with NPC after radiotherapy. This nomogram could be further used to guide clinical decisions and personalized treatment plans. [ABSTRACT FROM AUTHOR]

Highlights: [•] Plasma phospholipid fatty acid profile for PCOS patients with and without IR has been characterized. [•] An GC–MS followed by multivariate statistical analysis was employed. [•] C24:1 n-9 and C20:3 n-6 were identified as the potential FA biomarkers of PCOS and its IR, respectively. [•] GC–MS-based FA profile might provide a complementary approach for diagnosis of PCOS and its IR. [ABSTRACT FROM AUTHOR]

Objectives: Some patients with suspected ST-segment elevation (STE) myocardial infarction (STEMI) show STE that does not fulfill the current criteria for STEMI. The purpose of this study was to investigate the characteristics and prognoses of patients with minimal STEMI. Methods: Between November 2007 and December 2011, 546 patients who underwent primary percutaneous coronary intervention (PCI) for STEMI were enrolled. Results: The minimal STE group had a higher proportion of women (30.2 vs. 21.0%, p = 0.031), better pre-PCI antegrade flow (Thrombolysis in Myocardial Infarction flow 2-3, 30.2 vs. 18.8%, p = 0.006) and better collateralization (Rentrop score 2-3, 27.4 vs. 18.1%, p = 0.024) compared to the definite STE group. Multivariate analysis showed that each of them were independent predictors for minimal STE. However, 1-year mortality of the minimal STE group did not differ from that of the definite STE group (7.1 vs. 9.3%, log-rank p = 0.315). Conclusions: Female gender, good collateral flow and good pre-PCI antegrade flow were independent predictors for minimal STE in patients with STEMI. However, minimal STE was not related to a good prognosis in patients with STEMI. © 2014 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

There have been no studies that have assessed the possible correlation between conduction abnormality (CA) and systemic embolism, or the long-term outcomes of patients with infective endocarditis (IE). In this study, 82 consecutive patients with IE and interpretable electrocardiography (ECG) were admitted to Kyungpook National University Hospital from July 2002 to June 2008. ECGs obtained at the time of admission or during hospitalization were analyzed. Patients with CA, which was defined as atrioventricular or intraventricular block, of 'new' or 'of unknown duration' were considered as those with CA. Composite events were defined as the composite of death and embolic events. Twenty-three (28%) patients had CA classified as new ( n = 11) or of unknown duration ( n = 12). No significant differences were found between patients with and without CA in terms of age and gender. Mean follow-up duration was 21 ± 23 months. Patients with CA had more frequent embolic events ( p = 0.001) and composite events ( p = 0.002) during hospitalization, and had more frequent composite events ( p < 0.001) during follow-up than those without CA. Kaplan-Meier survival curves showed that patients with CA had a higher composite event rate during follow-up ( p = 0.003). However, there was no significant difference between the two groups regarding mortality rates during hospitalization and follow-up. In multivariate analysis, CA was an independent predictor of embolic event rates during hospitalization [odds ratio (OR) 5.198, 95% confidence interval (CI) 1.086-24.867, p = 0.039] and of composite event rates during follow-up (OR 27.168, 95% CI 4.590-160.802, p < 0.001). CA is associated with increased frequency of embolic events during hospitalization and follow-up. Moreover, CA might be a useful predictor of embolic event occurrences during both hospitalization and follow-up. [ABSTRACT FROM AUTHOR]