Perioperative medicine & outcomes
A new risk calculation model for complications of hepatectomy in adults over 75
Authors' conclusion
RASHA can be used to effectively predict the postoperative complications of hepatectomy through perioperative variables in adults older than 75 years.
Study context
- Population
- Adults older than 75 years undergoing hepatectomy
- Participants
- 326 participants
- Comparison
- Risk Assessment System of Hepatectomy in Adults (RASHA) scale vs RASHA formula
- Outcome
- Postoperative complications (Clavien-Dindo classification ≥ II)
Methodological detailslogistic regression model
- Logistic regression model
Main finding
As reported in the abstract
Prediction of postoperative complications
| Group | AUC | Cut-off |
|---|---|---|
| RASHA scale | 0.916 | 12.5 |
| RASHA formula | 0.801 | 0.2106 |
AUC
RASHA scale0.916
RASHA formula0.801
Cut-off
RASHA scale12.5
RASHA formula0.2106
Further findings
| Outcome | OR | P value |
|---|---|---|
| Independent risk factors for postoperative complications (multivariate analysis)Comorbidity ≥ 5 kinds of disease vs < 5 kinds of disease | 5.552 | P < 0.001 |
| Independent risk factors for postoperative complications (multivariate analysis)Fatigue yes vs no | 4.630 | P = 0.009 |
| Independent risk factors for postoperative complications (multivariate analysis)Child-Pugh B vs A | 4.211 | P = 0.004 |
| Independent risk factors for postoperative complications (multivariate analysis)Liver segments removed ≥ 3 vs ≤ 2 | 4.101 | P = 0.001 |
| Independent risk factors for postoperative complications (multivariate analysis)Adjacent organ resection yes vs no | 1.523 | P = 0.010 |
Original publication
A new risk calculation model for complications of hepatectomy in adults over 75. Perioper Med (Lond). Published 26 February 2024. doi:10. 1186/ s13741-024-00366-y
Composed by AI from the published abstract and checked against it. How Briefs are made →