Evidence map›Paper›PMID 38409068›Full record

ArticleJournal of intensive care2024

Exploring the therapeutic role of early heparin administration in ARDS management: a MIMIC-IV database analysis.

Ling-Xi Xiao, De Liang Zhu, Juan Chen, Jing Lv, Mei-Jun Liu, Xue Dai, Dao-Xin Wang, Wang Deng

Open access · goldAbstract read
In one paragraph

Article in Journal of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ling-Xi Xiao *Department of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
De Liang Zhu *Department of Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, No. 126, Xiantai Street, Changchun, 130033, China.
Juan ChenDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
Jing LvDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
Mei-Jun LiuDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
Xue DaiDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
Dao-Xin WangDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China.
Wang DengDepartment of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Chongqing Medical University, 76 Linjiang Road, Yuzhong District, Chongqing, 400010, China. dengwang@hospital.cqmu.edu.cn.ORCID http://orcid.org/0000-0002-8109-5827
Dalian Medical University · CNUnion Hospital · CN

Funding

Chongqing Science and Health Joint Medical Research Project 2023MSXM091Natural Science Foundation of Chongqing Municipality cstc2020jcyj-msxmX0008Senior Medical Talents Program of Chongqing for Young and Middle-Aged 2020219
6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) is a severe respiratory condition characterized by a high mortality rate, the management of which relies on supportive care and a profound understanding of its pathophysiology. Heparin, with its anticoagulant and potential anti-inflammatory properties, offers a new therapeutic opportunity for the treatment of ARDS.

methodsIn this retrospective cohort study, we examined the MIMIC-IV database for ARDS patients who received prophylactic heparin within the first 72 h of ICU admission. Employing propensity score matching and inverse probability weighting (IPW) analysis, we evaluated the impact of early heparin use on patient outcomes, focusing on mortality rates.

resultsPatients who received prophylactic heparin had a significantly lower in-hospital mortality rate compared to those who did not (13.55% vs 17.93%, HR = 0.71, 95% CI: 0.54-0.93, P = 0.012). This result remained significant after propensity score matching (12.75% vs 17.93%, HR = 0.65, 95% CI 0.47-0.90, P = 0.010). Analysis using five different statistical models indicated that early use of heparin significantly reduced the in-hospital mortality rate, with HR = 0.669 (95% CI 0.487-0.919, P = 0.013) in the doubly robust model without balanced covariates; HR = 0.705 (95% CI 0.515-0.965, P = 0.029) with all covariates considered; HR = 0.660 (95% CI 0.491-0.888, P = 0.006) in the propensity score (IPW) model; HR = 0.650 (95% CI 0.470-0.900, P = 0.010) in the propensity score matching model; and HR = 0.706 (95% CI 0.536-0.930, P = 0.013) in the multivariate Cox regression model. Secondary outcomes indicated that heparin use was also associated with reduced mortality rates at 60 days, and 90 days.

conclusionThis research highlights that early prophylactic administration of heparin may substantially lower mortality in ARDS patients. These findings underscore the potential of heparin as a key component in the management of ARDS, offering a new perspective and novel strategies for clinical treatment.

Indexed as

Acute respiratory distress syndromeHeparinIntensive care unitsMIMIC-IV databaseMortalityPropensity score

Identifiers

PMID38409068
PMCPMC10895755
OpenAlexW4392165834

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.