Evidence map›Paper›PMID 39835109›Full record

ArticleFrontiers in medicine2024

A nomogram model based on albumin-bilirubin score for predicting 90-day prognosis in patients with acute-on-chronic liver failure.

Wei Ding, Jiandong Shen, Li Zhang, Jianguo Shao, Zhaolian Bian, Hong Xue

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Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Wei Ding *Medical School of Nantong University, Nantong, Jiangsu, China.
Jiandong Shen *Nantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China.
Li ZhangMedical School of Nantong University, Nantong, Jiangsu, China.
Jianguo ShaoNantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China.
Zhaolian BianNantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China.
Hong XueNantong Third People's Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a nomogram model based on the albumin-bilirubin (ALBI) score for predicting the 90-day prognosis of patients with acute-on-chronic liver failure (ACLF) and to evaluate its predictive efficacy. Methods: Clinical data of 290 ACLF patients at the Third People's Hospital of Nantong City, collected from December 2020 to December 2023, were analyzed. The data were divided into a training set ( Results: Creatinine (CR) [odds ratio (OR) = 1.013, 95% confidence interval (CI): 1.004-1.022], ALBI (OR = 10.831, 95% CI: 4.009-33.247), Gender (OR = 1.931, 95% CI: 0.973-3.870) and ascites (OR = 3.032, 95% CI: 1.249-8.178) were identified as independent prognostic factors. The prognostic model formula was derived as prognostic index (PI) = -0.591 + 0.658 × Gender + 1.109 × ascites + 0.012 × CR + 2.382 × ALBI. The area under the curve (AUC) was 0.804 (95% CI: 0.741-0.866), with a specificity of 85.0% and a sensitivity of 65.7% at a cut-off of 0.425. The AUC of the validation set was 0.811 (95% CI: 0.697-0.926). The Hosmer-Lemeshow test indicated a good model fit with a Conclusion: The nomogram model incorporating ALBI with CR, Gender and ascites can predict the 90-day prognosis of ACLF patients, potentially helping to optimize treatment strategies and improve patient outcomes.

Indexed as

acute-on-chronic liver failureascitesnomogramprognosisrisk factor

Identifiers

PMID39835109
PMCPMC11744009

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