Preliminary Biomarkers for Identification of Human Ascending Thoracic Aortic Aneurysm

Background: Human ascending thoracic aortic aneurysms (ATAAs) are life threatening and constitute a leading cause of mortality in the United States. Previously, we demonstrated that collagens α2(V) and α1(XI) mRNA and protein expression levels are significantly increased in ATAAs. Methods and Results: In this report, the authors extended these preliminary studies using high‐throughput proteomic analysis to identify additional biomarkers for use in whole blood real‐time RT‐PCR analysis to allow for the identification of ATAAs before dissection or rupture. Human ATAA samples were obtained from male and female patients aged 65±14 years. Both bicuspid and tricuspid aortic valve patients were included and compared with nonaneurysmal aortas (mean diameter 2.3 cm). Five biomarkers were identified as being suitable for detection and identification of ATAAs using qRT‐PCR analysis of whole blood. Analysis of 41 samples (19 small, 13 medium‐sized, and 9 large ATAAs) demonstrated the overexpression of 3 of these transcript biomarkers correctly identified 79.4% of patients with ATAA of ≥4.0 cm (P<0.001, sensitivity 0.79, CI=0.62 to 0.91; specificity 1.00, 95% CI=0.42 to 1.00). Conclusion: A preliminary transcript biomarker panel for the identification of ATAAs using whole blood qRT‐PCR analysis in men and women is presented

Incontinence in Individuals with Rett Syndrome: A Comparative Study

Frequency and type of incontinence and its association with other variables were assessed in females with Rett Syndrome (RS) (n = 63), using an adapted Dutch version of the ‘Parental Questionnaire: Enuresis/Urinary Incontinence’ (Beetz et al. 1994). Also, incontinence in RS was compared to a control group consisting of females with non-specific (mixed) intellectual disability (n = 26). Urinary incontinence (UI) (i.e., daytime incontinence and nocturnal enuresis) and faecal incontinence (FI) were found to be common problems among females with RS that occur in a high frequency of days/nights. UI and FI were mostly primary in nature and occur independent of participants’ age and level of adaptive functioning. Solid stool, lower urinary tract symptoms and urinary tract infections (UTI’s) were also common problems in females with RS. No differences in incontinence between RS and the control group were found, except for solid stool that was more common in RS than in the control group. It is concluded that incontinence is not part of the behavioural phenotype of RS, but that there is an increased risk for solid stool in females with RS

Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score

Background Current Society of Thoracic Surgeons (STS) risk models for predicting outcomes of mitral valve surgery (MVS) assume a linear and cumulative impact of variables. We evaluated postoperative MVS outcomes and designed mortality and morbidity risk calculators to supplement the STS risk score. Methods Data from the STS Adult Cardiac Surgery Database for MVS was used from 2008 to 2017. The data included 383,550 procedures and 89 variables. Machine learning (ML) algorithms were employed to train models to predict postoperative outcomes for MVS patients. Each model's discrimination and calibration performance were validated using unseen data against the STS risk score. Results Comprehensive mortality and morbidity risk assessment scores were derived from a training set of 287,662 observations. The area under the curve (AUC) for mortality ranged from 0.77 to 0.83, leading to a 3% increase in predictive accuracy compared to the STS score. Logistic Regression and eXtreme Gradient Boosting achieved the highest AUC for prolonged ventilation (0.82) and deep sternal wound infection (0.78 and 0.77) respectively. EXtreme Gradient Boosting performed the best with an AUC of 0.815 for renal failure. For permanent stroke prediction all models performed similarly with an AUC around 0.67. The ML models led to improved calibration performance for mortality, prolonged ventilation, and renal failure, especially in cases of reconstruction/repair and replacement surgery. Conclusions The proposed risk models complement existing STS models in predicting mortality, prolonged ventilation, and renal failure, allowing healthcare providers to more accurately assess a patient's risk of morbidity and mortality when undergoing MVS

Vascular Operations Performed by Cardiothoracic Surgeons: The Society of Thoracic Surgeons Survey.

BackgroundMany cardiothoracic surgeons supplement their case volume through the performance of vascular surgical procedures. Information regarding this practice is not well defined.MethodsIn January of 2013, a survey was conducted of The Society of Thoracic Surgeons (STS) membership to assess the performance of vascular operations by cardiothoracic surgeons.ResultsThe overall response rate was 8.7%. Of the surgeons practicing vascular surgery, 60% were aged 45 to 64 years and 92% were male. Eleven percent of surgeons are board certified in vascular surgery, and 61% have been practicing 16 or more years, with 33% practicing in the southern United States. Twenty-two percent of surgeons stated that at least 30% of their practice was devoted to vascular surgery. Eighty-one percent of respondents would like to see vascular surgery training become part of the formal curriculum for cardiothoracic surgery education, and 90% said that cardiothoracic surgery education should offer a cardiovascular track with emphasis on thoracic and vascular surgery, including endovascular surgery.ConclusionsThis survey provides expanded data on the performance and breadth of practice of vascular surgery by the STS membership