Evidence map›Paper›PMID 40360645›Full record

Observational studyScientific reports2025

Risk factors and a nomogram model for deep vein thrombosis in critically ill patients with sepsis: a retrospective analysis.

Jing Su, Xin Tie, Ran Zhou, Tongjuan Zou, Maolin Hong, Lyu Yang, Xiao Chen, Xing Liu, Wanhong Yin

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 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. [Anatomy of the Forest Plot graphic].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Review
  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

9 authors.

Jing SuDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xin TieDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ran ZhouDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Tongjuan ZouDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Maolin HongDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Lyu YangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xiao ChenDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xing LiuDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Wanhong YinDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. yinwanhong@wchscu.cn.

Funding

NASPAS project of West China Hospital of Sichuan University HX-H2312442
6 · The paper itself

Abstract

Sepsis is one of the risk factors for deep vein thrombosis (DVT). However, studies on risk factors for DVT in critically ill patients with sepsis are limited, and no specific assessment tool is available for evaluating the risk of DVT in this population. We aimed to determine the risk factors of DVT and develop a simple nomogram for this vulnerable population. In this retrospective observational study, patients with sepsis using Sepsis-3 criteria, who were admitted to the intensive care unit (ICU) of West China Hospital of Sichuan University from January 2015 to May 2022, were enrolled. Patients with a diagnosis of DVT before admitting to ICU, cancer, trauma, pregnancy, surgery more than 45 min, or long-term use of glucocorticoids were excluded. Patients were assigned to the DVT group or non-DVT group based on the results of ultrasonography. We generated receiver operating characteristic curves (ROC) to calculate the cut-off of the continuous variables. A forest plot and a nomogram were developed by multivariable logistic regression. A total of 1057 patients were finally included. The multivariable logistic regression analysis showed that age (≥ 48 years old, odds ratio (OR) = 2.99, 95% confidence interval (CI): 2.19-4.12, P < 0.001), the use of vasoactive drugs (≥ 336 h, OR = 5.66, 95%CI 4.05-7.99, P < 0.001), PaO2/FiO2 (≤ 275, OR = 1.68, 95%CI 1.24-2.27, P < 0.001), respiratory infection (OR = 1.44, 95%CI 1.02-2.06, P < 0.05), D-dimer level (≥ 3.6, OR = 1.59, 95%CI 1.12-2.26, P < 0.05), fibrinogen level (≤ 3.9, OR = 1.45, 95%CI 1.09-1.95, P < 0.05), physical prophylaxis (OR = 0.51, 95%CI 0.37-0.71, P < 0.001) were independently associated with DVT. There were no significant differences in the insertion of the central venous catheter (CVC) or peripherally inserted central catheter (PICC), Sequential Organ Failure Assessment (SOFA) score, duration of mechanical ventilation, stay in ICU, and length of hospitalization between the two groups, while the DVT group had a higher proportion of use of pharmacologic thromboprophylaxis (61.8% vs. 47.2%, P < 0.001). In critically ill patients with sepsis, physical prophylaxis was found as an independent protective factor for DVT. Advanced age, long-term use of vasoactive drugs, elevated D-dimer levels, decreased fibrinogen levels, low oxygenation index, and respiratory infection were independent risk factors for DVT.

Indexed as

NomogramsSepsisVenous ThrombosisAdultAgedChinaCritical IllnessFemaleFibrin Fibrinogen Degradation ProductsHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveFibrin Fibrinogen Degradation ProductsDeep vein thrombosisRetrospective analysisRisk factorSepsis

Identifiers

PMID40360645
PMCPMC12075506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.