Prognostic role of preoperative albumin-bilirubin score in posthepatectomy liver failure and mortality: a systematic review and meta-analysis.
Qing PangShuai ZhouShuangchi LiuHuichun LiuZheng LuPublished in: Updates in surgery (2021)
Posthepatectomy liver failure (PHLF) is a life-threatening complication after liver resection, resulting in an increased morbidity and mortality. Epidemiological evidence of the association between preoperative albumin-bilirubin (ALBI) score, a newly established model for assessing liver functional reserve, and the risk of PHLF and mortality remains controversial. A systematical search for relevant literature was performed in PubMed, Embase, and Web of Science databases from December 2014 to September 2020. Odds ratio (OR) value and 95% confidence interval (CI) were extracted or calculated to synthetically estimate the association of preoperative ALBI score with PHLF and mortality. Meta-analyses were performed using a random-effects model. Twelve studies with a total of 21,348 patients were included in this meta-analysis. It was indicated that, compared to patients with a lower preoperative ALBI grade, patients with a higher grade had a significantly elevated risk of PHLF (6 studies, 18,291 patients; OR = 2.48, 95%CI: 2.00-3.07) and mortality (4 studies15, 139 patients; OR = 2.35, 95% CI: 1.38-4.00). In addition, when it was expressed as a continuous variable, ALBI was also a significant predictor of PHLF (6 studies, 3,833 patients; OR = 3.16, 95% CI: 2.07-4.81, per 1-point increase in ALBI score). No significant publication biases were detected as suggested by funnel plots inspection and Begg's tests. The current meta-analysis demonstrates that preoperative elevated ALBI is associated with higher risk of PHLF and mortality after hepatectomy.
Keyphrases
- systematic review
- end stage renal disease
- newly diagnosed
- liver failure
- ejection fraction
- chronic kidney disease
- patients undergoing
- meta analyses
- prognostic factors
- peritoneal dialysis
- type diabetes
- hepatitis b virus
- risk factors
- patient reported outcomes
- public health
- case control
- artificial intelligence
- patient reported