Intraoperative blood loss is a significant concern in patients with metastatic spinal disease. Early identification of at high risk experiencing massive intraoperative crucial as it allows for the development appropriate surgical plans and facilitates timely interventions. However, accurate prediction remains limited based on prior studies.

Background: Sedentary lifestyles among adolescents have been associated with various health concerns, particularly regarding psychological well-being and sleep quality. However, the associative relationship between sedentary behavior these outcomes remains unclear. This study aims to clarify association lifestyle through propensity scores matching analysis. Methods: A total of 2,846 from three universities participated in study. Data on demographics, exercise habits, eating patterns,...

Abstract BACKGROUND Chronic critical illness (CCI) is a serious condition characterized by prolonged course of illness, resulting in elevated morbidity and mortality. CCI presents significant challenges for healthcare providers intensive care units (ICUs), particularly among patients with bone trauma. Accurate prediction this patient population essential effective management intervention. This study aims to develop web-based artificial intelligence (AI) application designed predict ICU...

Background: Sleep problems are prevalent among university students, yet there is a lack of effective models to assess the risk sleep disturbance. Artificial intelligence (AI) provides an opportunity develop platform for evaluating risk. This study aims and validate AI stratify experiencing disturbance students. Methods: A total 2243 students were included, with 1882 from five universities comprising model derivation group 361 two additional forming external validation group. Six machine...

Purpose: This study aims to establish and validate machine learning-based models predict death in hospital among critical orthopaedic trauma patients with sepsis or respiratory failure.Methods: collected 523 from the Medical Information Mart for Intensive Care database. All were randomly classified into a training cohort validation cohort. Six algorithms, including logistic regression (LR), extreme gradient boosting (eXGBM), support vector (SVM), random forest (RF), neural network (NN),...

This study assessed the usefulness of continuous wave Doppler echocardiography and color flow mapping in evaluating pulmonary regurgitation (PR) estimating artery (PA) pressure. Forty-three patients were examined, high quality spectral recordings PR obtained 32. All underwent cardiac catheterization, simultaneous PA right ventricular (RV) pressures recorded 17. Four regurgitant velocity patterns observed: pandiastolic plateau, biphasic, peak early diastolic triangular types. The...

Abstract Objective This study was designed to develop and validate a robust predictive model for one-year mortality in elderly coronary heart disease (CHD) patients with anemia using machine learning methods. Methods Demographics, tests, comorbidities, drugs were collected cohort of 974 CHD. A prospective analysis performed evaluate performances the developed models. External validation models series 112 CHD anemia. Results The overall 43.6%. Risk factors included rate, chronic failure,...

Precisely estimating the probability of mental health challenges among college students is pivotal for facilitating timely intervention and preventative measures. However, to date, no specific artificial intelligence (AI) models have been reported effectively forecast severe distress. This study aimed develop validate an advanced AI tool predicting likelihood distress in students. A total 2088 from five universities were enrolled this study. Participants randomly divided into a training...

Background Adolescents often experience difficulties with sleep quality. The existing literature on predicting severe disturbance is limited, primarily due to the absence of reliable tools. Methods This study analyzed 1966 university students. All participants were classified into a training set and validation at ratio 8:2 random. Participants in utilized establish models, logistic regression (LR) five machine learning algorithms, including eXtreme Gradient Boosting Machine (XGBM), Naïve...

Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU patients and presents significant challenges for patient care resource allocation. Predicting prolonged crucial improving outcomes, preventing ventilator-associated complications, guiding targeted interventions. However, specific tools predicting among patients, particularly those with critical orthopaedic trauma, are currently lacking. The purpose of the study was to establish validate an artificial...

Background: University students are a vulnerable population prone to mental health challenges. This study aimed investigate depression and its associated factors among university in terms of demographics, eating habits, exercises. Methods: A total 2891 from three universities participated this between January 2024 February 2024. An online survey questionnaire was distributed using snow-ball strategy. The collected demographic, lifestyle, psychological data, including anxiety scores the PHQ-9...

We present a 67-year-old man who was admitted urgently with mycotic aneurysm of the infra-renal abdominal aorta which lead to subsequent diagnosis dysplastic colonic adenoma. The successfully repaired bifurcated Dacron graft. Streptococcus bovis grown from pre-operative blood cultures and aortic tissue cultures. Eighteen months previously, patient had undergone curative resection gastric adenocarcinoma adjuvant chemotherapy. There no evidence an at that time nor on computed tomography...

To explore the clinical results of implanting expanding nitinol alloy stent in treatment tracheobronchial stenosis.The endotracheal was put into site stricture trachea or bronchus 42 patients through an optical fibrobronchoscopy under X-ray examination. The oxygen saturation blood (SaO2 ) and pulse rate were detected before , during after operation respectively.After 32 got satisfactory response other 10 partial response. In all diameters stenostic airway increased significantly ventilation...