although doing so would result in prevention of significantly less (35.9%, P<0.01) ShD cases compared with the AI model. CONCLUSION: We present the first robust study analyzing the potential of AI for prediction of ShD. The model was superior to traditional clinical parameters and therefore we plan to validate the clinical performance of the model using additional datasets with different population characteristics.
BACKGROUND: The fractures of hip joint considered as a serious problem in public health in the medical and socioeconomic issues, the incidence of the fracture neck femur is significantly increased with the increment of general population life span. AIM: The goal of this study is to highlight and focus on the most important risk factor for the hip fractures in our Babylon society, and to improve our understanding of the medical and social aspects of these predisposing factors. PATIENTS AND METHODS: A case-control study of older adults (above 60 years old). The study was done on tow samples. First, one consisting of 75 cases those having fracture neck femur considered as cases, and second sample as a control group, consisting of 150 people as a healthy control group having no fracture. A pre-tested questionnaire was prepared to collect data from both samples; the questionnaire included demographic data and information about potential risk factors of hip fracture. RESULTS: Most of the people in the study samples in both groups were, married women, housekeepers, illiterate and from urban dwellers. There was highly significant association between case-control groups regarding, Continuous using of medication such as cortisone which was found to be a potential risk factor of hip fracture (Unadjusted OR = 3.636), low income was positively associated risk factor of hip fracture in this study (OR = 2.377), low milk intake, low sun exposure, tobacco smoking were positively associated with this health problem (OR = 1.794), while physical exercise was protective factor (OR = 0.489). CONCLUSION: The highest risk factors associated with increased occurrence of hip fracture were using cortisone, Osteoporosis, tobacco smoking, consuming soft drinks, and less exposure to sunlight.
although doing so would result in prevention of significantly less (35.9%, P<0.01) ShD cases compared with the AI model. CONCLUSION: We present the first robust study analyzing the potential of AI for prediction of ShD. The model was superior to traditional clinical parameters and therefore we plan to validate the clinical performance of the model using additional datasets with different population characteristics.
Background: Emotionally mature students can cope with academic stress and hard conditions associated with learning. Emotional maturity and ways of coping have positive relationships, which contribute to a healthy personality. The aim of this study was to examine emotional maturity and its effect on coping styles with academic stress among nursing students. Setting: The study was carried out at the faculty of nursing at Beni-Suef University. Design: a descriptive correlational design. Subject: the subjects of this study were (170) nursing students of the fourth academic year. Tools: the data were gathered using two tools (the emotional maturity scale, the stress coping styles survey). The Results: the study revealed that there more than onethird with mean of 40% from nursing students had highest perception regarding total emotional maturity. Additionally, nearly two -thirds with mean of 69.9% from nursing students had a high total academic stress, Moreover, more than half with mean of 55% from nursing students had a positive coping style. Conclusion: the study findings concluded that was a positive, significant relationship between emotional maturity and coping styles among nursing students. Meanwhile, there is a negative relation between emotional maturity and academic stress among studied nursing students. Recommendation: Assess periodically of the causes and factors affecting academic stress among nursing students and providing an opportunity for nursing students to improve their socialization using (field trip, group counselling and community participation).
Background: Pregnancy-related acute kidney injury (PRAKI) is still a common serious problem in developing countries. Insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor metalloproteinases-2 (TIMP-2) can identify critically ill patients at risk for the development of severe AKI. Aim: To identify main causes and timing of PRAKI and to study the G1 cell cycle arrest biomarkers in cases diagnosed with (PRAKI) as a diagnostic tool. Methods: 80 pregnant women diagnosed with PRAKI were recruited from a single hospital as well as 30 age-matched pregnant women with normal pregnancy participated in the present study. A urine specimen was collected from all study participants with established AKI within 24 h of ICU admission to measure [TIMP-2]*[IGFBP7]. Results: The incidence of PRAKI was 1.1%. The most common cause of PRAKI is pre-eclampsia/eclampsia spectrum (61%). Most of the cases occur in the third trimester (60%) and postpartum period (23%). At a cutoff 0.33 ng/ml, the estimated sensitivity and specificity of urinary [TIMP-2]*[IGFBP7] in predicting PRAKI is 100% (95% CI) with NPV and PPV are 100%. Conclusion: Urinary [TIMP-2]*[IGFBP7] serves as a sensitive and specific biomarker in the diagnosis of PRAKI.
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