English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18076/20274 (89%)
Visitors : 4904085      Online Users : 800
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/32688


    標題: Predictors of Initial Smear-Negative Active Pulmonary Tuberculosis with Acute Early Stage Lung Injury by High-Resolution Computed Tomography and Clinical Manifestations: An Auxiliary Model in Critical Patients
    作者: Yeh, Jun-Jun(葉俊濬)
    貢獻者: Ditmanson Med Fdn, Chia Yi Christian Hosp, Dept Pulm Med, Sect Thorac Imaging & Family Med
    Chia Nan Univ Pharm & Sci,
    China Med Univ
    Pingtung Christian Hosp
    Heng Chun Christian Hosp
    關鍵字: RESPIRATORY-DISTRESS-SYNDROME
    CRITICAL CARE
    IMAGE QUALITY
    CT
    DIAGNOSIS
    CHEST
    PHYSICIAN
    VALIDATION
    FEATURES
    日期: 2019-03
    上傳時間: 2020-07-29 13:55:21 (UTC+8)
    出版者: NATURE PUBLISHING GROUP
    摘要: This study evaluated the diagnostic use of high-resolution computed tomography (HRCT), chest X-ray (CXR), and clinical manifestations (CM) to identify initial smear-negative (iSN) active pulmonary tuberculosis (aPTB) [iSN-aPTB] in patients with iSN-pulmonary diseases (PD) and acute lung injury (ALI). In the derivation cohort, the [iSN-PD] with ALI patients were divided into the [iSN-aPTB] (G1, n = 26) and [non-aPTB-PD] (G2, n= 233) groups. Lung morphology, number, and lobar (segmental) distribution were evaluated using CXR and HRCT. A multivariate analysis was performed to identify independent variables associated with G1, which were used to generate predictive score models for G1. The predictive model was validated in a separate population of patients (n = 372) with [iSN-PD] and (ALI). The validated model for [HRCT (CXR + Hypoalbuminemia)] had 93.5% (25.8%) sensitivity, 99.5% (89.4%) specificity, and a negative predictive value of 99.5% (93.0%). For [iSN-aPTB], the post-test probability in the derivation cohort (prevalence =10%), validation cohort (prevalence = 8.3%), and the given prevalence (prevalence = 1%) was 88.7%, 94.4%, and 41.5%, respectively. The HRCT model effectively identified the [iSN-aPTB] subjects among the [iSN-PD] with ALI, regardless of CM. The [non-aPTB-PD] were also correctly classified by the HRCT and [CXR + Hypoalbuminemia] models.
    關聯: Scientific Reports, v.9, 4527
    Appears in Collections:[嬰幼兒保育系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1307View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback