Evidence map›Paper›PMID 41928278›Full record

Observational studyCritical care (London, England)2026

Optimal fibrinogen threshold in non-traumatic massive bleeding: a multicenter retrospective observational study.

Siying Chen, Shiyu Liu, Bingkui Ren, Yuping Zhang, Jinglong Dai, Ziyan Ye, Lu Xu, Yun Fan, Chuanbao Li, Zhengying Jiang and 25 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

35 authors.

Siying Chen *Department of Intensive Care Medicine, Trauma Center, Peking University People's Hospital, Beijing, 100044, P.R. China.
Shiyu Liu *Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P.R. China.
Bingkui RenDepartment of Intensive Care Medicine, Trauma Center, Peking University People's Hospital, Beijing, 100044, P.R. China.
Yuping ZhangBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P.R. China.
Jinglong DaiBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P.R. China.
Ziyan YeBeijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P.R. China.
Lu XuData Science Support Center, Scientific Research Administration Department, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Yun FanDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Chuanbao LiDepartment of Clinical Laboratory, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Zhengying JiangDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, 404100, P.R. China.
Qian LiuDepartment of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, 404100, P.R. China.
Kang ZouDepartment of Critical Care Medicine, the First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, P.R. China.
Zhiyuan ZhangDepartment of Critical Care Medicine, the First Affiliated Hospital of Gannan Medical University, Ganzhou City, 341000, Jiangxi Province, P.R. China.
Wenqing LianDepartment of Critical Care Medicine, Peking University First Hospital, Beijing, China.
Shuangling LiDepartment of Critical Care Medicine, Peking University First Hospital, Beijing, China.
Peng WangTransfusion Department, Peking University First Hospital, Beijing, 100034, P.R. China.
Lu KeDepartment of Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu Province, P.R. China.
Weibang PanDepartment of Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu Province, P.R. China.
Wenjian MaoDepartment of Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu Province, P.R. China.
Feng GuoDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, P.R. China.
Yi-Miao XuDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, P.R. China.
Ting LinDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, P.R. China.
Wenjun TanDepartment of Surgical Intensive Care Unit, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, P.R. China.
Weihai WeiDepartment of Critical Care Medicine, The First People's Hospital of Qinzhou, Qinzhou, 535099, Guangxi Province, P.R. China.
Qiuhua YangDepartment of Critical Care Medicine, The First People's Hospital of Qinzhou, Qinzhou, 535099, Guangxi Province, P.R. China.
Jun DuanDepartment of Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, P.R. China.
Dezhi RenDepartment of Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, P.R. China.
Zheng DuanDepartment of Critical Care Medicine, Shengli Oilfield Central Hospital, Dongying, 257034, Shandong Province, P.R. China.
Luchuan XingDepartment of Critical Care Medicine, Shengli Oilfield Central Hospital, Dongying, 257034, Shandong Province, P.R. China.
Hua XuDepartment of Intensive Care Unit, Tianjin First Center Hospital, Tianjin, China.
Lin DouEmergency Department, Tianjin Fifth Central Hospital, Peking University Binhai Hospital, Tianjin, 300450, P.R. China.
Wensong SuDepartment of Intensive Care Unit, School of Medicine, Zhongshan Hospital of Xiamen University, Xiamen University, Xiamen, 361004, P.R. China.
Linghui ZhanDepartment of Intensive Care Unit, School of Medicine, Zhongshan Hospital of Xiamen University, Xiamen University, Xiamen, 361004, P.R. China.
Fengxue Zhu *Department of Intensive Care Medicine, Trauma Center, Peking University People's Hospital, Beijing, 100044, P.R. China.
Zhigang Chang *Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, P.R. China. zhigangchang@hotmail.com.

Funding

Special Cohort Project for Clinical Research Business Expenses of Central High-Level Hospitals BJ-2024-146
6 · The paper itself

Abstract

backgroundCurrent guidelines make no recommendation regarding appropriate fibrinogen replacement thresholds for non-traumatic massive bleeding. We aimed to determine the optimal post-treatment fibrinogen level associated with survival in critically ill patients with non-traumatic massive bleeding.

methodsThis multicenter retrospective cohort study enrolled adult ICU patients with non-traumatic massive bleeding and hypofibrinogenemia (fibrinogen <2.0 g/L) from 12 centers in China (2018–2025). Maximum fibrinogen level (FIBmax) achieved during treatment within 3 Days of hemorrhage onset was the primary predictor. We used the Boruta algorithm for variable selection, multivariable logistic regression to assess the independent association between FIBmax and hospital mortality, restricted cubic splines to examine dose-response relationships, and pairwise group comparisons with Bonferroni correction to identify the optimal threshold.

resultsAmong 358 patients (median age 59 years; 62.6% male), 74 (20.7%) died during hospitalization. FIBmax was independently associated with hospital mortality after adjustment for confounders (OR 0.37 per g/L increase; 95% CI 0.25–0.57; P < 0.001). Adding FIBmax to the base model significantly improved discrimination (AUC 0.899 vs. 0.868; P = 0.017), calibration (Hosmer-Lemeshow P = 0.096 vs. 0.031), and reclassification (NRI 0.814; IDI 0.076). Restricted cubic spline analysis revealed a non-linear dose-response relationship (P for non-linearity = 0.026), with an inflection point at 2.03 g/L. Pairwise comparisons identified a significant hospital mortality transition at 2.0 g/L: patients with FIBmax of 1.5–2.0 g/L had 3.23-fold higher hospital mortality compared to those achieving 2.0–2.5 g/L (P = 0.004), representing the only significant transition point across all adjacent group comparisons. Hospital mortality plateaued at higher levels, with no additional benefit observed above 2.5 g/L. Patients achieving FIBmax ≥ 2.0 g/L had hospital mortality of 10.1% versus 48.0% for those below this threshold (P < 0.001).

conclusionsIn critically ill patients with non-traumatic massive bleeding, a post-treatment fibrinogen level of 2.0–2.5 g/L appears optimal, and 2.0 g/L may represent a potential therapeutic threshold.

Indexed as

FibrinogenHemorrhageAgedChinaCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedRetrospective StudiesFibrinogenCoagulopathyCritical careFibrinogenNon-traumatic massive hemorrhage

Identifiers

PMID41928278
PMCPMC13169716

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.