Easix, a new tool to predict response and refractoriness in immune-mediated thrombotic thrombocytopenic purpura

Abstract Background Immune-mediated thrombotic thrombocytopenic purpura (iTTP) is a rare, life-threatening thrombotic microangiopathy caused by severe ADAMTS13 deficiency due to autoantibodies. It presents with microangiopathic hemolytic anemia, thrombocytopenia, and organ ischemia. Caplacizumab, combined with plasma exchange (TPE), corticosteroids (CE), and rituximab, has improved outcomes. However, 10–15% of patients remain refractory, and up to 20% may relapse. Platelet count and ADAMTS13 activity guide response, but caplacizumab leads to rapid platelet recovery while ADAMTS13 may stay severely reduced despite apparent remission. Thus, there is a need for dynamic biomarkers reflecting actual disease activity and endothelial damage. The Endothelial Activation and Stress Index (EASIX), calculated as (LDH×creatinine)/platelets, indirectly reflects endothelial stress and has shown predictive value in other hematologic contexts. However, its role in iTTP is still unknown. Objectives To evaluate EASIX behavior during treatment and follow-up of iTTP patients and assess its predictive value for refractoriness and mortality. Methods This international, multicenter, and retrospective study included 55 adult patients diagnosed with iTTP between 2015-2024. Adults with iTTP and treated with at least two therapies among TPE, CE, rituximab, and caplacizumab, were included. Clinical data were collected by chart review. Laboratory data and EASIX values were calculated at baseline and on days 1–2, 7, 14, 21, 28, and 35, as well as on the day of last targeted-therapy discontinuation. If it occurred, laboratory data was also collected at any relapse (clinical or ADAMTS13). Definitions of remission, exacerbations, refractoriness, and relapse were according to Cuker et al. (2021). Data were analyzed using Wilcoxon rank sum test, logistic regression models and ROC analysis. ResultsOverall, the median age was 47 years (range: 21-77), with 62% female. At diagnosis, all patients had thrombocytopenia (100%), and most had concomitant anemia (96%). Neurological symptoms were seen in 56% of patients, and gastrointestinal involvement in 23%. Most patients received CE (98%), TPE (96%), rituximab (78%), and caplacizumab (75%). Refractoriness occurred in 13%, clinical relapses in 24%, ADAMTS13 relapses in 11%, and mortality during the acute phase in 7%.At onset, the median EASIX was 103.7 (IQR 41.1-290.9). After treatment initiation, EASIX declined rapidly, reaching values <1 by day 7. Similarly, creatinine, LDH, and platelet counts normalized by day 7; however, substantial inter-individual variability was observed in these parameters compared to EASIX values. ADAMTS13 activity reached values >20% at day 21.Median EASIX at day 0 was significantly higher in refractory vs. non-refractory patients (752 vs. 91; p=0.007), remaining so at day 7 (median 45 vs. 1; p<0.001) and day 14 (1.61 vs. 0.49; p=0.003). A non-significant trend toward higher EASIX values was also observed in the refractory group at day 1 (63 vs. 19; p=0.069).Relapse episodes also showed distinct EASIX dynamics. Clinical relapses were marked by sharp EASIX rises (median 13.24, IQR 5.0-27.5), while ADAMTS13 relapses did not show significant EASIX changes.Logistic regression showed that EASIX at day 0 significantly predicted refractoriness (OR 1.003, 95% CI: 1.001–1.005; p=0.021). ROC analysis revealed an area under the curve (AUC) of 0.811. A cut-off value of 129.1 yielded a sensitivity of 100% and a specificity of 58.7% for identifying refractory patients. EASIX outperformed platelet count or LDH alone: platelet count did not show significant association and LDH exhibited moderate predictive value (AUC 0.714), but requiring markedly elevated thresholds above normal clinical ranges to achieve this performance. Similarly, higher baseline EASIX values were linked with increased mortality risk (OR 1.004, 95% CI: 1.001–1.009; p=0.027). ConclusionsEASIX is a dynamic, easily applicable, and accessible biomarker that reflects endothelial stress in iTTP. Its rapid decline in responders and rise during clinical relapses adds value beyond traditional markers. Notably, higher baseline EASIX values strongly predicted refractoriness and were also associated with mortality. Despite the small sample size, these findings support its incorporation into routine monitoring and justify prospective validation for early risk stratification and potentially guide treatment intensity.

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-6661
Primary Topic
Complement system in diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Easix, a new tool to predict response and refractoriness in immune-mediated thrombotic thrombocytopenic purpura

Blood
Complement system in diseases
article

Easix, a new tool to predict response and refractoriness in immune-mediated thrombotic thrombocytopenic purpura

article en

Abstract

Abstract Background Immune-mediated thrombotic thrombocytopenic purpura (iTTP) is a rare, life-threatening thrombotic microangiopathy caused by severe ADAMTS13 deficiency due to autoantibodies. It presents with microangiopathic hemolytic anemia, thrombocytopenia, and organ ischemia. Caplacizumab, combined with plasma exchange (TPE), corticosteroids (CE), and rituximab, has improved outcomes. However, 10–15% of patients remain refractory, and up to 20% may relapse. Platelet count and ADAMTS13 activity guide response, but caplacizumab leads to rapid platelet recovery while ADAMTS13 may stay severely reduced despite apparent remission. Thus, there is a need for dynamic biomarkers reflecting actual disease activity and endothelial damage. The Endothelial Activation and Stress Index (EASIX), calculated as (LDH×creatinine)/platelets, indirectly reflects endothelial stress and has shown predictive value in other hematologic contexts. However, its role in iTTP is still unknown. Objectives To evaluate EASIX behavior during treatment and follow-up of iTTP patients and assess its predictive value for refractoriness and mortality. Methods This international, multicenter, and retrospective study included 55 adult patients diagnosed with iTTP between 2015-2024. Adults with iTTP and treated with at least two therapies among TPE, CE, rituximab, and caplacizumab, were included. Clinical data were collected by chart review. Laboratory data and EASIX values were calculated at baseline and on days 1–2, 7, 14, 21, 28, and 35, as well as on the day of last targeted-therapy discontinuation. If it occurred, laboratory data was also collected at any relapse (clinical or ADAMTS13). Definitions of remission, exacerbations, refractoriness, and relapse were according to Cuker et al. (2021). Data were analyzed using Wilcoxon rank sum test, logistic regression models and ROC analysis. ResultsOverall, the median age was 47 years (range: 21-77), with 62% female. At diagnosis, all patients had thrombocytopenia (100%), and most had concomitant anemia (96%). Neurological symptoms were seen in 56% of patients, and gastrointestinal involvement in 23%. Most patients received CE (98%), TPE (96%), rituximab (78%), and caplacizumab (75%). Refractoriness occurred in 13%, clinical relapses in 24%, ADAMTS13 relapses in 11%, and mortality during the acute phase in 7%.At onset, the median EASIX was 103.7 (IQR 41.1-290.9). After treatment initiation, EASIX declined rapidly, reaching values <1 by day 7. Similarly, creatinine, LDH, and platelet counts normalized by day 7; however, substantial inter-individual variability was observed in these parameters compared to EASIX values. ADAMTS13 activity reached values >20% at day 21.Median EASIX at day 0 was significantly higher in refractory vs. non-refractory patients (752 vs. 91; p=0.007), remaining so at day 7 (median 45 vs. 1; p<0.001) and day 14 (1.61 vs. 0.49; p=0.003). A non-significant trend toward higher EASIX values was also observed in the refractory group at day 1 (63 vs. 19; p=0.069).Relapse episodes also showed distinct EASIX dynamics. Clinical relapses were marked by sharp EASIX rises (median 13.24, IQR 5.0-27.5), while ADAMTS13 relapses did not show significant EASIX changes.Logistic regression showed that EASIX at day 0 significantly predicted refractoriness (OR 1.003, 95% CI: 1.001–1.005; p=0.021). ROC analysis revealed an area under the curve (AUC) of 0.811. A cut-off value of 129.1 yielded a sensitivity of 100% and a specificity of 58.7% for identifying refractory patients. EASIX outperformed platelet count or LDH alone: platelet count did not show significant association and LDH exhibited moderate predictive value (AUC 0.714), but requiring markedly elevated thresholds above normal clinical ranges to achieve this performance. Similarly, higher baseline EASIX values were linked with increased mortality risk (OR 1.004, 95% CI: 1.001–1.009; p=0.027). ConclusionsEASIX is a dynamic, easily applicable, and accessible biomarker that reflects endothelial stress in iTTP. Its rapid decline in responders and rise during clinical relapses adds value beyond traditional markers. Notably, higher baseline EASIX values strongly predicted refractoriness and were also associated with mortality. Despite the small sample size, these findings support its incorporation into routine monitoring and justify prospective validation for early risk stratification and potentially guide treatment intensity.

BloodVol. 146(Supplement 1)
Hospitais da Universidade de Coimbra (PT), Hospital General Universitario Gregorio Marañón (ES), Hospital Clínico San Carlos (ES), Hospital Universitari i Politècnic La Fe (ES), Josep Carreras Leukaemia Research Institute (ES), Sociedad Española de Trombosis y Hemostasia (ES), Hospital Clínic de Barcelona (ES), Instituto de Investigación Biomédica de A Coruña (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
Good health and well-being
Openalex Percentile: Top 40%
Complement system in diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.