Patterns in MCAS emerge over weeks, not moments. This longitudinal study links continuously measured biomarkers with patient-reported symptoms across months of everyday life.
Cross-sectional snapshots miss the trajectory of a fluctuating condition. We followed cohorts over time to connect physiological signals with lived symptoms.
Participants contributed continuous biosignals and structured symptom logs over an extended monitoring period, analyzed for individual-level correlations.
Individualized analysis revealed consistent biomarker-symptom relationships that were often invisible at the group level, underscoring the value of personal baselines.
Longitudinal, person-specific patterns can guide more targeted management and more informed conversations with care teams.
Sustained, individualized monitoring uncovers structure in MCAS that episodic testing cannot. Continued longitudinal study is warranted.