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Record W4396872180 · doi:10.21037/apm-23-535

Clinical outcomes of antithrombin III supplementation in an overt disseminated intravascular coagulation: a longitudinal single-institutional experience and retrospective analysis

2024· article· en· W4396872180 on OpenAlexaff
Song Am Lee, Junseok Kim, Michael Ji, HyeongJu Moon, Woo Surng Lee

Bibliographic record

VenueAnnals of Palliative Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAntithrombinMedicineSerpinCoagulationDisseminated intravascular coagulationHeparinInternal medicineIntensive care medicinePharmacologyBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Antithrombin is a small plasma glycoprotein synthesized in the liver that belongs to the serpin family of serine protease inhibitors and inactivates several enzymes in the coagulation pathway. It plays a leading major factor on coagulation pathway, therefore administration of antithrombin is essential to treat serious clinical conditions such as disseminated intravascular coagulation (DIC). Despite the theoretical benefits of antithrombin supplementation, the optimal antithrombin activity for heparin efficacy and the benefits of antithrombin supplementation in various disease entities are not yet fully understood. METHODS: The strict administration guidelines on antithrombin III in cases of DIC by the National Health Insurance Service and the Ministry of Food and Drug Safety complied as follows: antithrombin levels below 20 mg/dL in adults; antithrombin activity below 70% of normal in adults; total administration period of antithrombin must be carefully limited to within maximum 3 days, and the total administration dose must be below 7,000 international unit (IU), (loading dose, 1,000 IU in 1 hour: maintenance dose, 500 IU every 6 hours for 3 days). RESULTS: We identified 76 eligible for analysis according to the above-mentioned criteria in our institution (male/female, 59/17). Forty-four were identified to the non-survivor group and 32 patients were recognized as the survivor group. The baseline parameters in the non-survivor and survivor groups were comparable with no significant differences in age (66.5±18.1 vs. 66.0±16.2 years, P=0.90), sex (32/12 vs. 27/5, P=0.35), hospital length of stay (31.1±34.5 vs. 31.2±26.1 days, P=0.99), sequential organ failure assessment (SOFA) (7.3±2.5 vs. 6.6±2.0, P=0.22), simplified acute physiology score II (SAPS II) (46.0±8.8 vs. 43.5±9.2, P=0.23), cause for DIC (P=0.95), and underlying disease (P=0.38). The levels of antithrombin III on the day just before the administration significantly lower in the non-survivor groups than in the survivor groups (50.1%±13.6% vs. 57.6%±12.5%, P=0.01). The hemoglobin level in the 2nd day and 7th day after antithrombin III administration was significantly different between the non-survivor and survivor groups (9.9±1.9 vs. 11.0±2.0 g/dL, P=0.01, and 9.4±1.8 vs. 10.5±1.6 g/dL, P=0.006). The antithrombin III levels on the day of administration [area under the curve (AUC) =0.672] demonstrated significantly better prediction of mortality than the A antithrombin III levels on 1st day (AUC =0.552), the 2nd day (AUC =0.624), and 7th day (AUC =0.593). CONCLUSIONS: Our study suggests that the antithrombin administration may be effective tools for DIC treatment, and may be more positively considered, especially in the cases of DIC, which is a frequent complication of septic shock, sepsis, and other critical disease entities and which is associated with a high level of mortality. Furthermore, our study also suggests that the total doses and periods of antithrombin administration, which recommended by national guidelines, may be insufficient, therefore prolongation of period and increase of total dose of antithrombin supplement might be necessary.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.147
GPT teacher head0.463
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2024
Admission routes1
Has abstractyes

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