Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Diastolic runoff in the abdominal aorta, with subsequent circulatory mesenteric insufficiency, has been postulated as a cause of necrotizing enterocolitis in term infants with congenital heart disease. With this study we sought to determine whether Doppler-flow characteristics in the abdominal aorta can predict which infants are at specific risk, independent of gestational age and type of congenital heart disease.', 'We conducted a case-control study of term infants with congenital heart disease and proven necrotizing enterocolitis (n = 18) compared with gestational age-matched and diagnosis-matched control subjects (n = 20). Abdominal aortic Doppler velocities, time intervals, and reversals were analyzed. Groups were compared, and independent risk factors for necrotizing enterocolitis were determined.', 'The groups were similar with regard to weight, pulse pressure, use of prostaglandins or inotropes, presence of a patent ductus arteriosus, and systolic function. However, 47% of the case subjects with necrotizing enterocolitis had persistent retrograde diastolic flow in the abdominal aorta compared with 15% of the control subjects. When adjusting for multiple risk factors, persistent diastolic flow reversal remained the only factor significantly associated with necrotizing enterocolitis.
Is persistent diastolic flow reversal in abdominal aortic Doppler-flow profiles associated with an increased risk of necrotizing enterocolitis in term infants with congenital heart disease?

With advances in medicine, the subjective assessment of patients on hemodialysis regarding their quality of life (QOL) is gaining importance. Clinicians cannot rely solely on objective markers, such as the rates of complications and mortality, when evaluating responses to dialysis. In clinical settings, laboratory values are used as measures of patients' health. However, the relationship between clinical laboratory values and QOL has not been elucidated yet. Therefore, the present study aimed to define the relationship of laboratory values and patient attributes to the QOL of outpatients on hemodialysis in order to obtain basic data for reevaluating nursing support for patients on hemodialysis in the future.", 'The participants were 44 outpatients receiving hemodialysis at Hospital B. The QOL was surveyed using a self-administered questionnaire, the Kidney Disease Quality of Life Short Form. The following patient attributes and laboratory values were taken from the medical records: age; sex; primary disease; number of years on hemodialysis; complications; number of hours of hemodialysis per session; percentage weight gain; cardiothoracic ratio; blood pressure; hematocrit; and the serum levels of albumin, potassium, phosphorus, and calcium.', 'The serum potassium level significantly affected mental health, social functioning, symptoms, and the effect of kidney disease, with the 3.5-5.0 mEq/L target range group scoring higher than the > or =5.1 mEq/L group.
Does the relationship of clinical laboratory parameters and patient attribute to the quality of life of patients on hemodialysis?

L1-cell adhesion molecule (L1CAM) was previously reported to carry a poor prognosis in Stage I, low-risk endometrial cancer (EC). We evaluated the role of L1CAM among all stages and histologies in ECs in The Cancer Genome Atlas (TCGA).', 'Clinical information and RNA-Seq expression data were derived from TCGA uterine cancer cohort. Associations between L1CAM expression and clinical factors were tested with linear and logistic regression. Differences in survival between "high" and "low" expression groups (defined by median expression) of L1CAM were compared using Cox regression analysis, with p-values calculated via log-rank test. Kaplan-Meier curves were tested with the log-rank test.', 'Patient characteristics of 545 primary tumors with RNA-Seq gene expression data were analyzed. Median age was 64years (range 31-90). Stage I, II, III, and IV comprised 62%, 10%, 23%, and 5%, respectively. 75% were endometrioid; 21% serous. Grade 1, 2, and 3 comprised 18%, 22%, and 60%, respectively. Median follow-up was 23.0months. High L1CAM expression was associated with advanced stage (OR 3.2), high grade (OR=6.8), serous histology (OR=16.3), positive cytology (OR=3.5), positive pelvic (OR=21.8) and para-aortic lymph nodes (OR=10.3) (all p≤0.001). High L1CAM was associated with a median overall survival (OS) of 107months, versus not reached for low L1-expressing ECs (HR=3.46, CI 1.97-6.07, p<0.001). On multivariate analysis, L1CAM expression remained an independent prognostic variable in predicting OS in EC.

Is l1CAM an independent predictor of poor survival in endometrial cancer - An analysis of The Cancer Genome Atlas ( TCGA )?