Medicine
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This study aims to investigate the clinical and angiographic characteristics of patients with spontaneous reperfusion in ST-segment elevation myocardial infarction (STEMI). A total of 519 patients with STEMI were enrolled in this study, who underwent primary percutaneous coronary intervention (PCI) treatments at Beijing Anzhen Hospital from January 2015 to December 2018. The patients were divided into 2 groups according to the TIMI flow grade before primary PCI, the non-spontaneous reperfusion group (TIMI flow grade 0-II) and the spontaneous reperfusion group (TIMI flow grade III). ⋯ There were significant differences between the 2 groups in age, CTnI peak value, high thrombus burden, and locations of lesions in the distant of left anterior descending artery (LAD) (P = .000, .000, .002, .000, and .003, respectively). However, there were no significant differences between the groups in other clinic aspects including gender, hypertension, diabetes mellitus, smoking history, hyperlipemia, angina pectoris history, culprit vessel distribution, lesion distribution in left circumflex artery (LCX) and right coronary artery (RCA), and collateral circulation (P > .05 for all). Compared to the patients without spontaneous reperfusion, patients with spontaneous reperfusion were younger in age, lower in CTnI peak value, and higher in thrombosis burden, with culprit lesions mostly located in the distant of LAD.
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PROM1 has played a pivotal role in the identification and isolation of tumor stem cells. This study aimed to assess the association between PROM1 promoter methylation and head and neck squamous cell carcinoma (HNSCC), and its diagnostic and prognostic value. Bioinformatic analysis was performed using data from the Cancer Genome Atlas-HNSC and Gene Expression Omnibus datasets. ⋯ Moreover, PROM1 methylation was weakly negatively correlated with its mRNA expression (Pearson r = -0.148, P < .001). In summary, our study reveals that methylated PROM1 might serve as a valuable diagnostic biomarker and predictor of poor survival for HNSCC patients. PROM1 hypermethylation might partially contribute to its downregulation in HNSCC.
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Observational Study
Physician characteristics correlate with hospital readmission rates.
Hospital readmission rates are used as a metric to measure quality patient care. While several tools predict readmissions based on patient-specific characteristics, this study assesses if physician characteristics correlate with hospital readmission rates. In a 5-year retrospective electronic record review at a single institution, 31 internal medicine attending physicians' discharges were tracked for a total of 70 physician years, and 15,933 hospital discharges. ⋯ A critical level of a physician's hospital activity, as reflected by the number of patient discharges per year (>100), results in lower 7-day readmission rates. Sex, post-graduate years of clinical experience, and fiscal year did not play a role. The lack of correlation between each physicians' 7-day and 8 to 30-day readmission rates suggests that different physician factors are involved in these 2 rates.
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Preptin, irisin and adropin are 3 new players in energy regulation that are related body mass index, lipids, glucose and insulin levels which may affect incidence of cardiovascular diseases. The aim of the present study was to evaluate eight single nucleotide polymorphisms (SNPs) of preptin genes (rs1003483, rs1004446, rs2239681, rs680, and rs3741204), irisin (rs16835198 and rs3480) and adropin (rs2281997) gene in patients with coronary artery disease (CAD) and hypertension. ⋯ The findings of present study revealed that the preptin rs1003483 and rs1004446 gene polymorphism might serve as predisposing factor in CAD and hypertension.
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The present study aimed to develop an effective nomogram for predicting the overall survival (OS) of patients with cerebral anaplastic glioma (AG). This study included 1939 patients diagnosed with AG between 1973 and 2013 who were identified using the Surveillance, Epidemiology, and End Results database. A multivariate Cox regression analysis revealed that age, histology, tumor site, marital status, radiotherapy, and surgery were independent prognostic factors and, thus, these factors were selected to build a clinical nomogram. ⋯ The calibration curve exhibited good consistency with the actual observation curve in both sets. Although the prognostic value of the World Health Organization (WHO) classification has been validated, we developed a novel nomogram based on readily available clinical variables in terms of demographic data, therapeutic modalities, and tumor characteristics to predict the survival of AG patients. When used in combination with the WHO classification system, this clinical nomogram can aid clinicians in making individualized predictions of AG patient survival and improving treatment strategies.