Evidence map›Paper›PMID 39901194›Full record

ArticleLipids in health and disease2025

A new prognostic model based on serum apolipoprotein AI in patients with HBV-ACLF and acutely decompensated liver cirrhosis.

Ruidong Mo, Zhenglan Zhang, Yanmei Zhou, Yue Wang, Pengbo Yin, Chenxi Zhang, Haoshuang Fu, Cong Qian, Xiaogang Xiang, Rongkun Yin and 1 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CD45BMC gastroenterology · 2025
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ruidong Mo *Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China.
Zhenglan Zhang *Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China.
Yanmei ZhouDepartment of Infectious Diseases, Xing'an people's Hospital, 78 Guishan street, Xing'an county, Guilin, 541399, Guangxi, China.
Yue WangDepartment of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, No. 10 Guangqian Road, Xiangcheng District, Suzhou, 215131, China.
Pengbo YinDepartment of Infectious Diseases, Luohe Central Hospital, No. 56 East People Road, Yuanhui District, Luohe, 462003, Henan, China.
Chenxi ZhangDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China.
Haoshuang FuDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China.
Cong QianDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China.
Xiaogang XiangDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China. shine-xxg@163.com.
Rongkun YinDepartment of Infectious Diseases, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No.1111 Xianxia Road, Changning District, Shanghai, 200336, China. yinrongkun19870117@163.com.
Qing XieDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin er Road, Shanghai, 200025, China. xieqingrjh@163.com.

Funding

Key Projects in the National Science & Technology Pillar Program during the Thirteenth Five-Year Plan Period 2017ZX10203201-008National Natural Science Foundation of China 81900527National Natural Science Foundation of China 81970544National Natural Science Foundation of China 82070604Shanghai Municipal Key Clinical Specialty shslczdzk01103Shanghai Sailing Program 19YF1429200
6 · The paper itself

Abstract

BACKGROUND/

aimTo investigate the prognostic value of circulating apolipoprotein AI (apoAI) levels and develop a new prognostic model in individuals with acute-on-chronic liver failure (ACLF) and acute decompensation (AD) of liver cirrhosis caused by hepatitis B virus (HBV) infection.

methodsBaseline levels of serum lipids were measured, and data concerning the presence of complications were collected from 561 HBV-ACLF and AD patients. Survival analysis was conducted by log-rank test. Proportional hazards model was used to perform multivariate analysis. The dynamics of serum apoAI levels were also explored in 37 HBV-ACLF patients.

resultsIn the cohort, the negatively correlation was found between the Model for End-Stage Liver Disease (MELD) score and serum apoAI levels (r = -0.7946, P < 0.001). Circulating apoAI concentration was an independent risk factor for 90-day survival according to Cox multivariate analysis. A new prognostic score-integrated serum lipid profile for ACLF patients (Lip-ACLF score = 0.86×International Normalized Ratio (INR) + 0.0034×total bilirubin (TBIL) (µmol/L) + 0.99× hepatorenal syndrome (HRS) (HRS: no/1; with/2) + 0.50×hepatic encephalopathy (HE) (grade/ponint: no/1; 1-2/2; 3-4/3) - 2.97×apoAI (g/L) + 5.2) was subsequently designed for the derivation cohort. Compared to MELD score, Child-Turcotte-Pugh (CTP) score or apoAI, Lip-ACLFs was superior for the prediction of 90-day outcomes (receiver operating characteristic curve (ROC): 0.930 vs. 0.885, 0.833 or 0.856, all P < 0.01), as was the validation cohort (ROC 0.906 vs. 0.839, 0.857 or 0.837, all P < 0.05). In Kaplan‒Meier survival analysis, low apoAI levels (< 0.42 g/L) at baseline indicated poor prognosis in ACLF and AD patients. Among the 37 patients, the deceased individuals were characterised with significantly decreased serum apoAI levels during the follow-up test compared with those at baseline (P < 0.05), whereas in patients with a good prognosis, the serum apoAI levels remained stable during the follow-up.

conclusionIn HBV-ACLF and AD patients, lower serum apoAI levels suggest greater disease severity and 90-day mortality risk. For predicting the short-term prognosis of these patients, the new Lip-ACLF score might serve as a potential model.

Indexed as

Acute-On-Chronic Liver FailureApolipoprotein A-IHepatitis BLiver CirrhosisAdultFemaleHepatitis B virusHumansMaleMiddle AgedPrognosisProportional Hazards ModelsROC CurveAPOA1 protein, humanApolipoprotein A-IAcute-on-chronic-live failureapoAIHepatitis BLiver cirrhosisSerum lipids

Identifiers

PMID39901194
PMCPMC11789380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.