Evidence map›Paper›PMID 40474649›Full record

ArticleJournal of medical virology2025

Lactate Dehydrogenase/Albumin to Urea Ratio: A Novel Prognostic Indicator for Adverse Outcomes in Patients With Severe Fever With Thrombocytopenia Syndrome.

Ruihua Zhang, Yameng Mu, Mengyuan Zhang, Hongxiao Wu, Yanli Xu, Chenxi Zhao, Zishuai Liu, Ling Lin, Wei Zhang, Yaxian Kong and 1 more

Abstract read
In one paragraph

Article in Journal of medical virology, 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. Observational
  3. Evaluation of clinical efficacy and safety of T-705 (Favipiravir) in the treatment of fever with thrombocytopenia syndrome: a propensity score matching study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  4. 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.

Ruihua ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yameng MuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Mengyuan ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Hongxiao WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4425-7214
Yanli XuDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Chenxi ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zishuai LiuDepartment of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Ling LinDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Wei ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-7148-4776
Yaxian KongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Zhihai ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6481-4781

Funding

The study was supported by the National Key R&D Program of China (Grant No. 2022YFF1203201), Beijing Research Center for Respiratory Infectious Diseases Project (BJRID2024-009).
6 · The paper itself

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with significant mortality risks. This study evaluated the predictive value of the lactate dehydrogenase/albumin to urea ratio (LAU) for lethal outcomes in SFTS patients. Clinical data from 348 patients (295 survivors, 53 non-survivors) admitted to Yantai Infectious Disease Hospital (2022-2023) were analyzed. Multivariate analysis identified older age, SFTS-associated encephalopathy, SFTSV RNA, decreased albumin and serum calcium, increased lactate dehydrogenase, and elevated LAU as independent mortality risk factors. LAU demonstrated strong predictive accuracy (AUC: 0.79; 95% CI: 0.72-0.85; sensitivity 69%, specificity 75%), with an optimal cutoff of 144.685 U·mmol/g·L. Survival analysis linked high LAU to poor prognosis, and longitudinal trends showed decreasing LAU with recovery in survivors but rising levels in non-survivors. These findings highlight LAU as a novel, practical biomarker for early risk stratification and prognosis improvement in SFTS.

Indexed as

L-Lactate DehydrogenaseSerum AlbuminSevere Fever with Thrombocytopenia SyndromeUreaAdultAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPhlebovirusPredictive Value of TestsPrognosisRetrospective StudiesBiomarkersL-Lactate DehydrogenaseSerum AlbuminUreaalbuminbiomarkersblood urea nitrogenlactate dehydrogenaseprognosissevere fever with thrombocytopenia syndrome

Identifiers

PMID40474649
PMCPMC12142283

What OpenQuestion holds

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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.