Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden

Endometriosis is a chronic, estrogen-dependent inflammatory disease characterized by highly individualized, multisystemic symptoms, affecting approximately 10% of females. In this work, we present a long-term prospective study in which 34 participants defined personalized symptom sets and severity scales, tracking them daily for up to 12 months using a custom-developed app. This patient-tailored, high-resolution monitoring revealed substantial heterogeneity in the number of symptoms tracked, with participants tracking a median of 24.5 unique symptoms (interquartile range [19.25, 36.5]). To standardize assessment of system-organ involvement, symptoms were mapped to the MedDRA hierarchy, allowing structured analysis of symptom distribution. Based on these data, we propose a framework for characterizing symptom burden, trajectory, and disease burden, concepts that together capture the variability, systemic nature, and complexity of endometriosis. This personalized approach offers a clearer understanding of the disease experience and lays the groundwork for future tools that may improve communication with healthcare providers and inform more personalized and effective treatment strategies.

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Publication Details

Journal
npj Digital Medicine
Published
2026-07-17
DOI
https://doi.org/10.1038/s41746-026-02965-z
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
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article

Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden

Ronya Rubinstein, Maytal Bivas‐Benita, Vered Klaitman-Mayer, Noémie Elhadad et al.
npj Digital Medicine
Endometriosis Research and Treatment
article

Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden

Ronya Rubinstein, Maytal Bivas‐Benita, Vered Klaitman-Mayer, Noémie Elhadad, Pinchas Akiva, Ronit Endevelt, Yuehua Chen, Shaked Feiglin, Alon Zelovich, Tamar Zelovich
article en

Abstract

Endometriosis is a chronic, estrogen-dependent inflammatory disease characterized by highly individualized, multisystemic symptoms, affecting approximately 10% of females. In this work, we present a long-term prospective study in which 34 participants defined personalized symptom sets and severity scales, tracking them daily for up to 12 months using a custom-developed app. This patient-tailored, high-resolution monitoring revealed substantial heterogeneity in the number of symptoms tracked, with participants tracking a median of 24.5 unique symptoms (interquartile range [19.25, 36.5]). To standardize assessment of system-organ involvement, symptoms were mapped to the MedDRA hierarchy, allowing structured analysis of symptom distribution. Based on these data, we propose a framework for characterizing symptom burden, trajectory, and disease burden, concepts that together capture the variability, systemic nature, and complexity of endometriosis. This personalized approach offers a clearer understanding of the disease experience and lays the groundwork for future tools that may improve communication with healthcare providers and inform more personalized and effective treatment strategies.

npj Digital Medicine
Ben-Gurion University of the Negev (IL), Columbia University Irving Medical Center (US), IMI TAMI Institute for Research and Development (IL), Maccabi Healthcare Services (IL), University of Haifa (IL)
Good health and well-being
Openalex Percentile: Top 7%
Endometriosis Research and Treatment
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Patient-tailored symptom tracking in endometriosis: a framework to explore disease variability and burden — Ronya Rubinstein, Maytal Bivas‐Benita, et al. · npj Digital Medicine (2026) | TGRS Research Map | TGRS