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26 August 2022: Original Paper

Development of a Novel Model for Predicting Postoperative Short-Term Outcome in Patients with Hepatitis B-Related Acute-on-Chronic Liver Failure Undergoing Liver Transplantation

Qikun Zhang 12ABCDEF , Menglong Wang 2ADF , Guangming Li 2BDG , Zhongtao Zhang 1ADE*

DOI: 10.12659/AOT.936732

Ann Transplant 2022; 27:e936732

Table 2 Novel prognostic models constructed by LASSO and Cox regresion in predicting postoperative short-term mortality of HBACLF patients after liver transplantation.

VariableLASSO regression variable selectionCox regression remodeling (stepwise AIC)
CoefficientβHR (95% CI)P
Sex−0.28580.72182.0582 (0.9201, 4.6042)0.0789
Systemic infection−0.54621.03262.8083 (1.3140, 6.0019)0.0077
MELD-Na0.01600.04701.0481 (1.0136, 1.0838)0.0060
Place of T-tube−0.29991.08442.9576 (1.3574, 6.4444)0.0064
Surgical duration0.0166
Formula:−0.2858*Sex (male) - 0.1828 *HRS (no) - 0.2999* Place of T-tube (no) + 0.0166* Surgical duration + 0.0160*MELD-Na - 0.5462* Systemic infection(no)0.7218* Sex (female) + 1.0844* Place of T-tube (yes) + 1.0326* Systemic infection (yes) + 0.0470* MELD-Na
Harrell’s C index:0.8810.886
HRS – hepatorenal syndrome; AIC – Akaike’s information criterion

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Annals of Transplantation eISSN: 2329-0358
Annals of Transplantation eISSN: 2329-0358