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Distinct Coagulation Phenotypes and Long-Term Neurological Outcomes in Post-Cardiac Arrest Syndrome: A Latent Class
Sin Young Park1, Sang Hoon Oh1, Hyo Joon Kim1
1Department of Emergency Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Insights
Post-cardiac arrest syndrome (PCAS) causes varied coagulopathy. A consumptive coagulopathy phenotype, identified in cardiac arrest patients, predicts severe brain injury and poor neurological outcomes.
Area of Science:
- Neurology
- Critical Care Medicine
- Hematology
Background:
- Post-cardiac arrest syndrome (PCAS) involves systemic ischemia-reperfusion injury and sepsis-like coagulopathy.
- Coagulopathy in PCAS is heterogeneous, with poorly defined phenotypes and their impact on hypoxic-ischemic brain injury (HIBI).
Purpose of the Study:
- To identify distinct coagulation phenotypes in PCAS patients using latent class analysis (LCA).
- To assess the association between these phenotypes and 6-month neurological outcomes after out-of-hospital cardiac arrest (OHCA).
Main Methods:
- Retrospective analysis of 325 adult OHCA patients treated with targeted temperature management (TTM).
- Latent class analysis (LCA) utilized coagulation biomarkers (D-dimer, fibrinogen, ATIII, platelets, PT-INR) at admission and 24h post-ROSC.
- Neurological outcome assessed using Cerebral Performance Category (CPC) at 6 months.
Main Results:
- Three coagulation phenotypes were identified: Preserved Coagulation (36.9%), Hypercoagulable State (41.5%), and Consumptive Coagulopathy (21.5%).
- The Consumptive Coagulopathy phenotype showed the lowest gray-to-white matter ratio (GWR) and highest neuron-specific enolase.
- Consumptive Coagulopathy independently predicted poor neurological outcome (aOR 4.52; 95% CI 2.15-9.48).
Conclusions:
- PCAS-related coagulopathy is heterogeneous, with distinct phenotypes impacting neurological outcomes.
- A consumptive coagulopathy phenotype signifies a high-risk subgroup with severe brain injury and poor long-term neurological prognosis.
- Early identification of this phenotype can aid prognostication and guide phenotype-specific interventions.
Abstract:
Background/Objectives: Post-cardiac arrest syndrome (PCAS) induces systemic ischemia-reperfusion injury accompanied by sepsis-like coagulopathy. This coagulopathy presents heterogeneously, yet distinct coagulation phenotypes and their impact on hypoxic-ischemic brain injury (HIBI) remain poorly defined. We aimed to identify coagulation phenotypes using latent class analysis (LCA) and assess their association with 6-month neurological outcomes. Methods: We retrospectively analyzed adult out-of-hospital cardiac arrest (OHCA) patients treated with targeted temperature management (TTM) between 2011 and 2019 from a prospective registry at a tertiary academic center. LCA was performed using coagulation biomarkers measured at admission and 24 h post-return of spontaneous circulation: D-dimer, fibrinogen, antithrombin III (ATIII), platelet count, and PT-INR. The primary outcome was poor neurological outcome (Cerebral Performance Category 3-5) at 6 months. Secondary outcomes included in-hospital mortality and cerebral edema severity assessed by gray-to-white matter ratio (GWR) on brain CT. Results: Among 325 patients, LCA identified three phenotypes: Class 1 (Preserved Coagulation, 36.9%), Class 2 (Hypercoagulable State, 41.5%) characterized by elevated D-dimer with preserved fibrinogen and ATIII, and Class 3 (Consumptive Coagulopathy, 21.5%) marked by profound D-dimer elevation with fibrinogen <150 mg/dL and ATIII <60%. Class 3 exhibited the lowest GWR and highest neuron-specific enolase levels. In multivariable analysis adjusting for age, low-flow time, initial rhythm, and lactate, Class 3 independently predicted poor neurological outcome (adjusted OR 4.52; 95% CI 2.15-9.48), whereas Class 2 did not. Conclusions: PCAS-related coagulopathy is heterogeneous. A consumptive coagulopathy phenotype identifies a high-risk subgroup associated with severe brain injury and poor long-term neurological outcomes. Early identification of this phenotype may enable targeted prognostication and guide future phenotype-specific interventional strategies.
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