Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR.
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Goicoechea Elena Badillo, Ellsworth Patrick, Siegler James E, Brorson James R, Lineback Christina M, Conyers Frank G, Kerrigan Deborah, Eklund Kelsey, Yaghi Shadi, Khasiyev Farid, Melkumova Emiliya, Culbertson Collin J, D'Souza Marissa, Jillella Dinesh V, Glover Patrick, Aboul-Nour Hassan, Nahab Fadi, Shahrivari Mahan, Nedelcu Simona, Liebeskind David S, Smith Matthew M, Rothstein Aaron, Bowman Anna, Zha Alicia, Kala Narendra, Abu Qdais Ahmad, Al Kasab Sami, Farooqui Mudassir, Rojas-Soto Diana, Aziz Yasmin, Herpich Franziska, Daniel Jean-Philippe, Thompson Sean L, Patel Vivek, Nguyen Thanh N, Sehgal Siddharth, Yu Wenzheng, Kam Wayneho, Van Coevering Russel, Dumitrascu Oana M, Alvi Muhammad, Krishnaiah Balaji, Salehi Omran Setareh, Linares Guillermo, Singh Eesha, Ali Hamid, Penckofer Mary, Thon Jesse M, Mannion Shani, Chahien Dalia, Chen Lucia, Talat Fawad, Abbasi Mehdi, Sharma Richa
Аннотация
METHODS: From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients with ESUS in two ways: (1) Partitioning Around Medoids and (2) causal survival forest modeling. We assessed cluster-level associations with time to primary outcome (recurrent stroke, major bleeding, or death) using Kaplan-Meier survival analysis to assess cluster differences. We then extracted SHapley Additive exPlanations (SHAP) feature importances from the causal forest model to identify candidate effect modifiers from the causal forest.
RESULTS: Among 1869 patients with ESUS, three phenotypically distinct clusters were extracted with significant differences in event-free survival across clusters (log-rank p < 0.0001). There was no significant population-level benefit of anticoagulation over antiplatelet therapy (p = 0.23). SHAP feature importance analysis identified several candidate effect modifiers; however, only higher LVEF (β = -327, 95% CI: -580 to -74, p = 0.011) and cancer history (β = -226, 95% CI: -441 to -11, p = 0.039) were independent predictors of response to antiplatelet over anticoagulation using best linear projections. Phenotypic cluster assignment did not significantly predict treatment effect heterogeneity.
INTERPRETATION: Three distinct phenotypic clusters of cryptogenic stroke patients emerged with a differential risk of the composite outcome, but they did not predict responsiveness to anticoagulation. LVEF and cancer history, however, showed differential outcomes across antithrombotic strategies. These findings demonstrate the potential of causal inference methods for identifying effect heterogeneity and individualizing treatment strategies.