ArticleWorld journal of gastrointestinal surgery2024
Comparison of different preoperative objective nutritional indices for evaluating 30-d mortality and complications after liver transplantation.
Article in World journal of gastrointestinal surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Lactate-to-albumin ratio, C-reactive protein-to-albumin ratio, and prognostic nutritional index in acute and critical care: A focused mini-review.World journal of critical care medicine · 2026Review
- Controlling Nutritional Status Scores Predict Postoperative Acute Kidney Injury in Living Donor Liver Transplantation.Clinical transplantation · 2026Article
- Pretransplant albumin-to-globulin ratio and long-term outcomes after liver transplantation for hepatocellular carcinoma: a two-center cohort study.Frontiers in oncology · 2026Article
- Preoperative nutritional scores to predict mortality after liver transplantation: a retrospective cohort study.Anesthesia and pain medicine · 2024Article
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3 authors.
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Abstract
backgroundThe nutritional status is closely related to the prognosis of liver transplant recipients, but few studies have reported the role of preoperative objective nutritional indices in predicting liver transplant outcomes.
aimTo compare the predictive value of various preoperative objective nutritional indicators for determining 30-d mortality and complications following liver transplantation (LT).
methodsA retrospective analysis was conducted on 162 recipients who underwent LT at our institution from December 2019 to June 2022.
resultsThis study identified several independent risk factors associated with 30-d mortality, including blood loss, the prognostic nutritional index (PNI), the nutritional risk index (NRI), and the control nutritional status. The 30-d mortality rate was 8.6%. Blood loss, the NRI, and the PNI were found to be independent risk factors for the occurrence of severe postoperative complications. The NRI achieved the highest prediction values for 30-d mortality [area under the curve (AUC) = 0.861,
conclusionThe NRI has good predictive value for 30-d mortality and severe complications following LT. The NRI could be an effective tool for transplant surgeons to evaluate perioperative nutritional risk and develop relevant nutritional therapy.
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