Stephensonlove7667

Significant differences of texture features were seen, as follows 1 histogram feature (p = 0.038), 3 gray-level co-occurrence matrix features (p less then 0.05), and 1 neighborhood gray-level different matrix feature (NGLDM) (p = 0.003). Coarseness in NGLDM provided the highest diagnostic accuracy and largest AUC of 76.7% and 0.82, respectively. SVM evaluation of the combined texture features obtained the highest accuracy of 81.3%, with an AUC of 0.80. Combined texture features can provide useful information for discriminating between nasopharyngeal cancer and nasopharyngeal ML on unenhanced CT.Puncture site hemorrhage following femoral artery catheterization is a significant cause of morbidity. The aim of this case-control study was to identify predictors of postprocedural arterial hemorrhage at the puncture site. We retrospectively reviewed 255 patients who underwent endovascular treatment at our institution over a 23-month period and classified them into a hemorrhage group and a non-hemorrhage group. Puncture site hemorrhage occurred in 15 patients (5.9%). Clinical factors associated with a significantly increased risk of puncture site bleeding included patients whose postoperative activated clotting time of ≥300 seconds before removal of the sheath (9 patients, 11.8%; P less then 0.05), those who received triple antiplatelet therapy (n=4, 17.4%; P less then 0.05) and the group administered heparin postoperatively (7 patients, 13.2%; P less then 0.05). The effects of low on-treatment platelet reactivity, i.e., P2Y12 reaction units less then 95%, sheath size, hemostasis method used, and operating time were not clinically significant. Our findings suggest an increased risk of puncture site hemorrhage in patients who either had an activated clotting time ≥300 seconds before the postoperative removal of the sheath, had received triple antiplatelet therapy, or were administered heparin postoperatively.This study aimed to identify hospital neonatal mortality rate (NMR) and the causes of neonatal deaths, and to understand risk factors associated with neonatal mortality in a national tertiary hospital in Cambodia. The study included all newborn infants, aged 0-28 days old, hospitalized in the Pediatrics department of Khmer-Soviet Friendship Hospital between January 2016 and December 2017. In total, 925 infants were included in the study. The mean gestational age was 35.9 weeks (range, 24-42 weeks). Preterm infants and low birth weight accounted for 47.5% and 56.7%, respectively. With respect to payment methods, the government (53.5%) and non-governmental organizations (NGO) (13.7%) paid the fees as the families were not in a financial position to do so. The hospital NMR at the Pediatrics department was 9.3%. Respiratory distress syndrome (37.2%) was the main cause of deaths followed by hypoxic-ischemic encephalopathy (31.4%) and neonatal infection (21.0%). Factors associated with neonatal mortality were Apgar score at 5th minute less then 7 (adjusted odds ratio (AOR) = 3.57), payment by the government or NGO (AOR = 11.32), admission due to respiratory distress (AOR = 11.94), and hypothermia on admission (AOR = 9.41). The hospital NMR in the Pediatrics department was 9.3% (95% confidence interval 7.50-11.35) at Khmer-Soviet Friendship Hospital; prematurity and respiratory distress syndrome were the major causes of neonatal mortality. Introducing continuous positive airway pressure machine for respiratory distress syndrome and creating neonatal resuscitation guidelines and preventing hypothermia in delivery rooms are required to reduce the high NMR.Early detection of diseases is critical in infants. click here This study evaluates the usefulness of web searches in predicting diseases in order to encourage guardians to consult a doctor promptly if their children are ill. We collected six months of search queries from Yahoo! JAPAN Search between October 2016 and March 2017. Using a machine learning model, we investigated the accuracy of the search query's ability to predict the diagnosis of biliary atresia and hypertrophic pyloric stenosis. Both diseases were modeled with an accuracy of approximately 80%, and symptoms related to the disease were significant features in the model. These findings suggest the possibility of detecting diseases from web search queries performed by guardians. Through future research, we intend to propose a method that uses web search queries for early detection of these diseases by providing appropriate and timely information to support the guardians of patients.This study aimed to evaluate the impact of serial changes in nutritional status on 1-year events including all-cause mortality or rehospitalization owing to heart failure (HF) among hospitalized patients with acute decompensated HF (ADHF). The study subjects comprised 253 hospitalized patients with ADHF. The controlling nutritional status (CONUT) score was assessed both at hospital admission and discharge. The subjects were divided into three groups according to nutritional status using CONUT score normal (0 and 1), mild risk (2-4), and moderate to severe risk defined as malnutrition (5-12). We observed nutritional status was improved or not. The incidence of malnutrition was 30.4% at hospital admission and 23.7% at discharge, respectively. Malnutrition was independently associated with 1-year events among hospitalized patients with ADHF. Presence or absence of improvement in nutritional status was significantly associated with 1-year events (P less then 0.05), that was independent of percentage change in plasma volume in multivariate Cox regression analyses. We determined a reference model, including gender and estimated glomerular filtration rate, using multivariate logistic regression analysis (P less then 0.05). Adding the absence of improvement in nutritional status during hospitalization to the reference model significantly improved both NRI and IDI (0.563, P less then 0.001 and 0.039, P = 0.001). Furthermore, malnutrition at hospital discharge significantly improved NRI (0.256, P = 0.036) In conclusion, serial changes in the nutritional status evaluated on the basis of multiple measurements may provide more useful information to predict 1-year events than single measurement at hospital admission or discharge in hospitalized patients with ADHF.