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Determining prognostic indicator for anticoagulant therapy in sepsis-induced disseminated intravascular coagulation.
Iba, Toshiaki; Yamakawa, Kazuma; Shiko, Yuki; Hisamune, Ryo; Tanigawa, Tomoki; Helms, Julie; Levy, Jerrold H.
Affiliation
  • Iba T; Department of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-Ku, Tokyo, 113-8421, Japan. toshiiba@juntendo.ac.jp.
  • Yamakawa K; Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Osaka, Japan.
  • Shiko Y; Department of Biostatistics, Graduate School of Medicine, Research Administration Center, Saitama Medical University, Saitama, Japan.
  • Hisamune R; Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, Osaka, Japan.
  • Tanigawa T; Medical Affairs Section, Research and Development Division, Japan Blood Products Organization, Tokyo, Japan.
  • Helms J; Strasbourg University (UNISTRA); Strasbourg University Hospital, Medical Intensive Care Unit, NHC; INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative Nanomedicine (RNM), FMTS, Strasbourg, France.
  • Levy JH; Department of Anesthesiology, Critical Care, and Surgery, Duke University School of Medicine, Durham, NC, USA.
J Intensive Care ; 12(1): 24, 2024 Jun 24.
Article in En | MEDLINE | ID: mdl-38915122
ABSTRACT

BACKGROUND:

There is no reliable indicator that can assess the treatment effect of anticoagulant therapy for sepsis-associated disseminated intravascular coagulation (DIC) in the short term. The aim of this study is to develop and validate a prognostic index identifying 28-day mortality in septic DIC patients treated with antithrombin concentrate after a 3-day treatment.

METHODS:

The cohort for derivation was established utilizing the dataset from post-marketing surveys, while the cohort for validation was acquired from Japan's nationwide sepsis registry data. Through univariate and multivariate analyses, variables that were independently associated with 28-day mortality were identified within the derivation cohort. Risk variables were then assigned a weighted score based on the risk prediction function, leading to the development of a composite index. Subsequently, the area under the receiver operating characteristic curve (AUROC). 28-day survival was compared by Kaplan-Meier analysis.

RESULTS:

In the derivation cohort, 252 (16.9%) of the 1492 patients deceased within 28 days. Multivariable analysis identified DIC resolution (hazard ratio [HR] 0.31, 95% confidence interval [CI] 0.22-0.45, P < 0.0001) and rate of Sequential Organ Failure Assessment (SOFA) score change (HR 0.42, 95% CI 0.36-0.50, P < 0.0001) were identified as independent predictors of death. The composite prognostic index (CPI) was constructed as DIC resolution (yes 1, no 0) + rate of SOFA score change (Day 0 SOFA score-Day 3 SOFA score/Day 0 SOFA score). When the CPI is higher than 0.19, the patients are judged to survive. Concerning the derivation cohort, AUROC for survival was 0.76. As for the validation cohort, AUROC was 0.71.

CONCLUSION:

CPI can predict the 28-day survival of septic patients with DIC who have undergone antithrombin treatment. It is simple and easy to calculate and will be useful in practice.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Intensive Care Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Intensive Care Year: 2024 Document type: Article Affiliation country: