Evidence map›Paper›PMID 38178044›Full record

ArticleBMC pregnancy and childbirth2024

Factors and a model to predict three-month mortality in patients with acute fatty liver of pregnancy from two medical centers.

QiaoZhen Peng, TeXuan Zhu, JingRui Huang, YueLan Liu, Jian Huang, WeiShe Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

QiaoZhen PengDepartment of Obstetrics, Xiangya Hospital, Central South University, Hunan, Changsha, 410008, China.
TeXuan ZhuDepartment of Obstetrics and Gynecology, the Third Affiliated Hospital of Zhengzhou University, Henan, Zhengzhou, 450052, China.
JingRui HuangDepartment of Obstetrics, Xiangya Hospital, Central South University, Hunan, Changsha, 410008, China.
YueLan LiuDepartment of Obstetrics, Xiangya Hospital, Central South University, Hunan, Changsha, 410008, China.
Jian HuangDepartment of Obstetrics and Gynecology, the Second Xiangya Hospital, Central South University, Hunan, Changsha, 410011, China.
WeiShe ZhangDepartment of Obstetrics, Xiangya Hospital, Central South University, Hunan, Changsha, 410008, China. zhangweishe@yeah.net.
Xiangya Hospital Central South University · CNCentral South University · CNSecond Xiangya Hospital of Central South University · CNThird Affiliated Hospital of Zhengzhou University · CN

Funding

National Natural Science Foundation of China 82301927National Natural Science Foundation of China 82371700Natural Science Foundation of Hunan Province 2022JJ40789Natural Science Foundation of Hunan Province 2023JJ40980
6 · The paper itself

Abstract

backgroundAcute fatty liver of pregnancy (AFLP) is an uncommon but potentially life-threatening complication. Lacking of prognostic factors and models renders prediction of outcomes difficult. This study aims to explore factors and develop a prognostic model to predict three-month mortality of AFLP.

methodsThis retrospective study included 78 consecutive patients fulfilling both clinical and laboratory criteria and Swansea criteria for diagnosis of AFLP. Univariate and multivariate cox regression analyses were used to identify predictive factors of mortality. Predictive efficacy of prognostic index for AFLP (PI-AFLP) was compared with the other four liver disease models using receiver operating characteristic (ROC) curve.

resultsAFLP-related three-month mortality of two medical centers was 14.10% (11/78). International normalised ratio (INR, hazard ratio [HR] = 3.446; 95% confidence interval [CI], 1.324-8.970), total bilirubin (TBIL, HR = 1.005; 95% CI, 1.000-1.010), creatine (Scr, HR = 1.007; 95% CI, 1.001-1.013), low platelet (PLT, HR = 0.964; 95% CI, 0.931-0.997) at 72 h postpartum were confirmed as significant predictors of mortality. Artificial liver support (ALS, HR = 0.123; 95% CI, 0.012-1.254) was confirmed as an effective measure to improve severe patients' prognosis. Predictive accuracy of PI-AFLP was 0.874. Area under the receiver operating characteristic curves (AUCs) of liver disease models for end-stage liver disease (MELD), MELD-Na, integrated MELD (iMELD) and pregnancy-specific liver disease (PSLD) were 0.781, 0.774, 0.744 and 0.643, respectively.

conclusionTBIL, INR, Scr and PLT at 72 h postpartum are significant predictors of three-month mortality in AFLP patients. ALS is an effective measure to improve severe patients' prognosis. PI-AFLP calculated by TBIL, INR, Scr, PLT and ALS was a sensitive and specific model to predict mortality of AFLP.

Indexed as

Fatty LiverPregnancy ComplicationsFemaleHumansModels, BiologicalPregnancyPrognosisRetrospective StudiesROC CurveSeverity of Illness IndexAcute fatty liver of pregnancyMortalityOutcomePrognostic factor

Identifiers

PMID38178044
PMCPMC10765840
OpenAlexW4390574862

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.