# The Dynamic Endothelial Activation and Stress Index (EASIX) as a Predictor of Early Death and Long-Term Survival in Acute Promyelocytic Leukemia (APL): A Multicenter Study

**Authors:** Fazıl Çağrı Hunutlu, Vildan Özkocaman, Mehmet Baysal, Hikmet Öztop, Saide Elif Güllülü Boz, Nevriye Gül Ada Tak, Oğuzhan Sertkaya, İlknur Kara, Emre Akar, Şüheda Çakmak, Ahmet Mert Yanık, Tuba Güllü Koca, İbrahim Ethem Pınar, Vildan Gürsoy, Tuba Ersal, Seval Akpınar, Yusuf Bilen, Fahir Özkalemkaş

PMC · DOI: 10.3390/cancers18050843 · 2026-03-05

## TL;DR

This study shows that tracking changes in a vascular stress marker called EASIX during early treatment can predict survival outcomes in acute promyelocytic leukemia patients.

## Contribution

The study introduces EASIX as a dynamic prognostic tool for real-time risk assessment in acute promyelocytic leukemia.

## Key findings

- Worsening EASIX scores during the first week of treatment independently predict early death and poor survival.
- Dynamic EASIX monitoring provides better risk stratification than static baseline measurements.
- Patients with improved EASIX scores had significantly better 3-year event-free and overall survival.

## Abstract

Acute promyelocytic leukemia is a highly curable leukemia subtype; however, early mortality driven by severe coagulopathy and vascular injury remains a significant clinical challenge. Traditional risk models rely solely on static measurements taken at diagnosis, failing to capture the rapid physiological changes that occur during the initial phase of treatment. This study addressed this gap by evaluating the dynamic evolution of the endothelial activation and stress index, a composite marker of vascular stress, over the first week of therapy. We demonstrated that patients experiencing a deterioration in endothelial function faced a drastically increased risk of early death, whereas those who achieved stabilization exhibited excellent survival outcomes. These findings offer clinicians a practical, real-time tool for identifying high-risk patients who require intensified supportive care, thereby providing a new strategy to reduce early mortality and improve long-term prognosis.

Background/Objectives: Early death (ED) remains the primary barrier to long-term survival in acute promyelocytic leukemia (APL). Since current risk stratification models rely solely on static baseline parameters, they fail to capture the high biological volatility during the induction phase. We aimed to evaluate the prognostic value of the dynamic evolution of the endothelial activation and stress index (EASIX). Materials and Methods: This multicenter, retrospective study analyzed 131 newly diagnosed adult APL patients treated with the AIDA protocol. EASIX scores were calculated at admission (D0) and day 7 (D7). ROC, landmark, multivariable logistic and Cox regression analyses were performed to assess the impact of dynamic endothelial changes (ΔEASIX) on mortality and survival. Results: The ED rate was 25.2%. While baseline EASIX successfully predicted very early death (<7 days), dynamic assessment provided superior risk stratification. Worsening endothelial status (ΔEASIX > 0.35) was an independent predictor of early mortality (OR: 12.41, p = 0.007), inferior EFS (HR: 5.70, p = 0.004), and poor OS (HR: 3.69, p = 0.023). Landmark analysis stratified by the kinetic trajectory of ∆EASIX confirmed that patients above the optimal cut-off had significantly inferior 3-year EFS (56.3% vs. 77.8%, p = 0.041) and OS (59.5% vs. 78.0%, p = 0.026). Conclusions: To our knowledge, this is the first study to establish EASIX as a dynamic prognostic marker in APL. Our findings indicate that the “kinetic trajectory” of endothelial stress is a more accurate predictor of survival than static baseline assessment alone. While dynamic EASIX monitoring offers a valuable tool for real-time risk reclassification, these results require validation through prospective studies.

## Linked entities

- **Diseases:** acute promyelocytic leukemia (MONDO:0012883)

## Full-text entities

- **Diseases:** Death (MESH:D003643), APL (MESH:D015473)
- **Chemicals:** AIDA (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12984233/full.md

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Source: https://tomesphere.com/paper/PMC12984233