Volume 46, Issue 13 pp. 1367-1379
Original Article

Development of algorithms based on serum markers and transient elastography for detecting significant fibrosis and cirrhosis in chronic hepatitis B patients: Significant reduction in liver biopsy

Yan Li

Yan Li

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Qun Cai

Qun Cai

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Yafei Zhang

Yafei Zhang

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Qinxiu Xie

Qinxiu Xie

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Nan Xu

Nan Xu

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Xiaoping Jiang

Xiaoping Jiang

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Jun Li

Jun Li

School of Pharmacy, Anhui Medical University, Hefei, China

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Xu Li

Xu Li

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

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Zhenhua Zhang

Corresponding Author

Zhenhua Zhang

Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Hefei, China

School of Pharmacy, Anhui Medical University, Hefei, China

Correspondence: Prof Zhenhua Zhang, Department of Infectious Diseases, The First Affiliated Hospital, Anhui Medical University, Jixi Road 218, Hefei 230 022, China Email: [email protected]Search for more papers by this author
First published: 11 March 2016
Citations: 21
Conflict of interest: The authors have no conflict of interest.

Abstract

Aim

To develop algorithms for detecting significant fibrosis and cirrhosis in chronic hepatitis B (CHB) patients with the aim of reducing unwarranted liver biopsy.

Methods

For 307 CHB patients, the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and the result of transient elastography with FibroScan (FS) were obtained when a liver biopsy was carried out. All patients were classified based on APRI or FIB-4 score and further assessed by FS results. Patients who remained unclassified after two steps of evaluation were considered to need liver biopsy.

Results

Algorithm implementation found that APRI + FS significantly lowered the requirement for liver biopsy for the detection of significant fibrosis compared to either individual APRI or FS screening (65.1% vs 75.9% or 78.5%, P = 0.003 or <0.001, respectively). The combination of FIB-4 + FS significantly reduced the need for liver biopsy compared to single FIB-4 or FS (58.3% vs 67.4% or 78.5%, P = 0.019 or <0.001, respectively). The FIB-4 + FS algorithm also reduced the need for liver biopsy for detection of significant fibrosis in patients ≥50 years old compared to APRI + FS (22.6% vs 56.5%, P < 0.001), with a relatively lower accuracy (83.9% vs 98.4%, P = 0.004). Only 3.6% or 1.3% of patients needed liver biopsy for diagnosis of cirrhosis after screening with APRI + FS or FIB-4 + FS, respectively.

Conclusion

The APRI + FS and FIB-4 + FS algorithms could significantly reduce the need for liver biopsy with high accuracy, sensitivity, and positive predictive value for diagnosis of significant fibrosis and cirrhosis in CHB patients.

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