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.
| Variable | LASSO regression variable selection | Cox regression remodeling (stepwise AIC) | ||
|---|---|---|---|---|
| Coefficient | β | HR (95% CI) | P | |
| Sex | −0.2858 | 0.7218 | 2.0582 (0.9201, 4.6042) | 0.0789 |
| HRS | −0.1828 | |||
| Systemic infection | −0.5462 | 1.0326 | 2.8083 (1.3140, 6.0019) | 0.0077 |
| MELD-Na | 0.0160 | 0.0470 | 1.0481 (1.0136, 1.0838) | 0.0060 |
| Place of T-tube | −0.2999 | 1.0844 | 2.9576 (1.3574, 6.4444) | 0.0064 |
| Surgical duration | 0.0166 | |||
| 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: | 0.881 | 0.886 | ||
| HRS – hepatorenal syndrome; AIC – Akaike’s information criterion | ||||