JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2013, Vol. 51 ›› Issue (8): 69-73.

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Multiple regression analysis of influencing factors  in FibroScan detecting liver stiffness

WANG Ai-guang1, CUI Lei2,  WANG Gui-ling2, LI Jian-zhi2, ZHANG Mei-fang2, ZHAO Min2, SUN Ai-hua2, SHAN Rong2   

  1. 1. Department of Oncology, Qianfoshan Hospital Affiliated to Shandong University, Jinan 250014, China;
    2. Department of Function, Jinan Infectious Disease Hospital, Jinan 250021, China
  • Received:2012-11-20 Online:2013-08-10 Published:2013-08-10

Abstract:

Objective   To determine the independent predictors influencing liver stiffness detection with FibroScan by multiple regression analysis.  Methods   One hundred and eighty-one inpatients and outpatients who required liver biopsy were enrolled. Liver stiffness measurement (LSM) was detected by FibroScan on the day of performing liver biopsy, and clinical information and routine biochemical tests data (±3 days) were gathered. Ten factors were chosen for the multiple regression analysis. Results   Multiple regression analysis showed that platelet(PLT), serum albumin(ALB), prothrombin activity(PTA) and body mass index(BMI) were independent predictors. ConclusionIn    FibroScan detection, PLT, ALB, PTA and BMI might be influencing factors.

Key words: FibroScan; Liver stiffness; Independent predictor; Multiple regression analysis

CLC Number: 

  • R575.2
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