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Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning
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作者 Hassam Ali Faisal Inayat +10 位作者 vishali moond Ahtshamullah Chaudhry Arslan Afzal Zauraiz Anjum Hamza Tahir Muhammad Sajeel Anwar Dushyant Singh Dahiya Muhammad Sohaib Afzal Gul Nawaz Amir H Sohail Muhammad Aziz 《World Journal of Gastrointestinal Surgery》 SCIE 2024年第4期1097-1108,共12页
BACKGROUND Roux-en-Y gastric bypass(RYGB)is a widely recognized bariatric procedure that is particularly beneficial for patients with class III obesity.It aids in significant weight loss and improves obesity-related m... BACKGROUND Roux-en-Y gastric bypass(RYGB)is a widely recognized bariatric procedure that is particularly beneficial for patients with class III obesity.It aids in significant weight loss and improves obesity-related medical conditions.Despite its effectiveness,postoperative care still has challenges.Clinical evidence shows that venous thromboembolism(VTE)is a leading cause of 30-d morbidity and mortality after RYGB.Therefore,a clear unmet need exists for a tailored risk assessment tool for VTE in RYGB candidates.AIM To develop and internally validate a scoring system determining the individualized risk of 30-d VTE in patients undergoing RYGB.METHODS Using the 2016–2021 Metabolic and Bariatric Surgery Accreditation Quality Improvement Program,data from 6526 patients(body mass index≥40 kg/m^(2))who underwent RYGB were analyzed.A backward elimination multivariate analysis identified predictors of VTE characterized by pulmonary embolism and/or deep venous thrombosis within 30 d of RYGB.The resultant risk scores were derived from the coefficients of statistically significant variables.The performance of the model was evaluated using receiver operating curves through 5-fold cross-validation.RESULTS Of the 26 initial variables,six predictors were identified.These included a history of chronic obstructive pulmonary disease with a regression coefficient(Coef)of 2.54(P<0.001),length of stay(Coef 0.08,P<0.001),prior deep venous thrombosis(Coef 1.61,P<0.001),hemoglobin A1c>7%(Coef 1.19,P<0.001),venous stasis history(Coef 1.43,P<0.001),and preoperative anticoagulation use(Coef 1.24,P<0.001).These variables were weighted according to their regression coefficients in an algorithm that was generated for the model predicting 30-d VTE risk post-RYGB.The risk model's area under the curve(AUC)was 0.79[95%confidence interval(CI):0.63-0.81],showing good discriminatory power,achieving a sensitivity of 0.60 and a specificity of 0.91.Without training,the same model performed satisfactorily in patients with laparoscopic sleeve gastrectomy with an AUC of 0.63(95%CI:0.62-0.64)and endoscopic sleeve gastroplasty with an AUC of 0.76(95%CI:0.75-0.78).CONCLUSION This simple risk model uses only six variables to assist clinicians in the preoperative risk stratification of RYGB patients,offering insights into factors that heighten the risk of VTE events. 展开更多
关键词 Roux-en-Y gastric bypass Venous thromboembolism Machine learning Bariatric surgery Predictive modeling
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Global trends in hepatitis C-related hepatocellular carcinoma mortality:A public database analysis(1999-2019)
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作者 Hassam Ali Fnu Vikash +7 位作者 vishali moond Fatima Khalid Abdur Rehman Jamil Dushyant Singh Dahiya Amir Humza Sohail Manesh Kumar Gangwani Pratik Patel Sanjaya K Satapathy 《World Journal of Virology》 2024年第1期69-83,共15页
BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and m... BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical regions.With the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis C.Furthermore,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global impact.While some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender disparities.This gap in knowledge hinders the development of targeted interventions and resource allocation strategies.DISCUSSION The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two decades.Notably,females exhibited a remarkable decrease in mortality compared to males.Regionally,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward trend.Latin America and the Caribbean also experienced an increase in mortality rates.However,no significant difference was observed in the Middle East and North Africa.North America exhibited a notable upward trend.South Asia and Sub-Saharan Africa significantly declined throughout the study period.This raises the hope of identifying areas for implementing more targeted resources.Despite some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24]. 展开更多
关键词 CARCINOMA HEPATOCELLULAR Antiviral agents Global Burden of Disease Quality indicators Health care Liver neoplasms Hepatitis C Chronic hepatitis C
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