Literature DB >> 33741010

Coagulation phenotypes in sepsis and effects of recombinant human thrombomodulin: an analysis of three multicentre observational studies.

Daisuke Kudo1, Tadahiro Goto2, Ryo Uchimido3, Mineji Hayakawa4, Kazuma Yamakawa5, Toshikazu Abe6,7, Atsushi Shiraishi8, Shigeki Kushimoto9.   

Abstract

BACKGROUND: A recent randomised trial showed that recombinant thrombomodulin did not benefit patients who had sepsis with coagulopathy and organ dysfunction. Several recent studies suggested presence of clinical phenotypes in patients with sepsis and heterogenous treatment effects across different sepsis phenotypes. We examined the latent phenotypes of sepsis with coagulopathy and the associations between thrombomodulin treatment and the 28-day and in-hospital mortality for each phenotype.
METHODS: This was a secondary analysis of multicentre registries containing data on patients (aged ≥ 16 years) who were admitted to intensive care units for severe sepsis or septic shock in Japan. Three multicentre registries were divided into derivation (two registries) and validation (one registry) cohorts. Phenotypes were derived using k-means with coagulation markers, platelet counts, prothrombin time/international normalised ratios, fibrinogen, fibrinogen/fibrin-degradation-products (FDP), D-dimer, and antithrombin activities. Associations between thrombomodulin treatment and survival outcomes (28-day and in-hospital mortality) were assessed in the derived clusters using a generalised estimating equation.
RESULTS: Four sepsis phenotypes were derived from 3694 patients in the derivation cohort. Cluster dA (n = 323) had severe coagulopathy with high FDP and D-dimer levels, severe organ dysfunction, and high mortality. Cluster dB had severe disease with moderate coagulopathy. Clusters dC and dD had moderate and mild disease with and without coagulopathy, respectively. Thrombomodulin was associated with a lower 28-day (adjusted risk difference [RD]: - 17.8% [95% CI - 28.7 to - 6.9%]) and in-hospital (adjusted RD: - 17.7% [95% CI - 27.6 to - 7.8%]) mortality only in cluster dA. Sepsis phenotypes were similar in the validation cohort, and thrombomodulin treatment was also associated with lower 28-day (RD: - 24.9% [95% CI - 49.1 to - 0.7%]) and in-hospital mortality (RD: - 30.9% [95% CI - 55.3 to - 6.6%]).
CONCLUSIONS: We identified four coagulation marker-based sepsis phenotypes. The treatment effects of thrombomodulin varied across sepsis phenotypes. This finding will facilitate future trials of thrombomodulin, in which a sepsis phenotype with high FDP and D-dimer can be targeted.

Entities:  

Keywords:  Anticoagulants; Disseminated intravascular coagulation; Machine learning; Phenotype; Precision medicine; Thrombomodulin

Year:  2021        PMID: 33741010     DOI: 10.1186/s13054-021-03541-5

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


  4 in total

1.  Perspectives on the Immune System in Sepsis.

Authors:  Felician Stancioiu; Bogdan Ivanescu; Radu Dumitrescu
Journal:  Maedica (Bucur)       Date:  2022-06

Review 2.  Methods for Phenotyping Adult Patients in Sepsis and Septic Shock: A Scoping Review.

Authors:  Han Li; Asena Markal; Jeremy A Balch; Tyler J Loftus; Philip A Efron; Tezcan Ozrazgat-Baslanti; Azra Bihorac
Journal:  Crit Care Explor       Date:  2022-03-30

3.  Web-based application for predicting the potential target phenotype for recombinant human thrombomodulin therapy in patients with sepsis: analysis of three multicentre registries.

Authors:  Tadahiro Goto; Daisuke Kudo; Ryo Uchimido; Mineji Hayakawa; Kazuma Yamakawa; Toshikazu Abe; Atsushi Shiraishi; Shigeki Kushimoto
Journal:  Crit Care       Date:  2022-05-19       Impact factor: 9.097

Review 4.  Biomarkers Predicting Tissue Pharmacokinetics of Antimicrobials in Sepsis: A Review.

Authors:  Maria Sanz Codina; Markus Zeitlinger
Journal:  Clin Pharmacokinet       Date:  2022-02-25       Impact factor: 5.577

  4 in total

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