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Development of a Predictive Model of Difficult Hemostasis following Endobronchial Biopsy in Lung Cancer Patients
المؤلف
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-26
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Endobronchial biopsy (EBB)-induced bleeding is fairly common; however, it can be potentially life-threatening due to difficult hemostasis following EBB.
The aim of this study was to develop a predictive model of difficult hemostasis post-EBB.
A total of 620 consecutive patients with primary lung cancer who had undergone EBB between 2014 and 2018 in a large tertiary hospital were enrolled in this retrospective single-center cohort study.
Patients were classified into the difficult hemostasis group and the nondifficult hemostasis group according to hemostatic measures used following EBB.
The LASSO regression method was used to select predictors and multivariate logistic regression was applied to develop the predictive model.
The area under the curve (AUC) of the model was calculated.
Bootstrapping method was applied for internal validation.
Calibration curve analysis and decision curve analysis (DCA) were also performed.
A nomogram was constructed to display the model.
The incidence of difficult hemostasis post-EBB was 11.9% (74/620).
Eight variables were selected by the LASSO regression analysis and seven (histological type of cancer, lesion location, neutrophil percentage, activated partial thromboplastin time, low density lipoprotein cholesterol, apolipoprotein-E, and pulmonary infection) of them were finally included in the predictive model.
The AUC of the model was 0.822 (95% CI, 0.777-0.868), and it was 0.808 (95% CI, 0.761-0.856) in the internal validation.
The predictive model was well calibrated and DCA indicated its potential clinical usefulness, which suggests that the model has great potential to predict lung cancer patients with a more difficult post-EBB hemostasis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Saibin. 2019. Development of a Predictive Model of Difficult Hemostasis following Endobronchial Biopsy in Lung Cancer Patients. BioMed Research International،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1123457
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Saibin. Development of a Predictive Model of Difficult Hemostasis following Endobronchial Biopsy in Lung Cancer Patients. BioMed Research International No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1123457
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Saibin. Development of a Predictive Model of Difficult Hemostasis following Endobronchial Biopsy in Lung Cancer Patients. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1123457
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123457
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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