Identification of Distinct Biopsychosocial Phenotypes in Young Adults with Chronic Postsurgical Pain through Resting-State Cortical Activity, Biomarkers, and Functional Performance - Summary - MDSpire
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Identification of Distinct Biopsychosocial Phenotypes in Young Adults with Chronic Postsurgical Pain through Resting-State Cortical Activity, Biomarkers, and Functional Performance
To compare psychological symptoms, physical performance, hair cortisol concentration, and resting-state cortical activity between AYAs with CPSP and healthy controls, and to derive clinically meaningful CPSP phenotypes, defined as distinct groups based on functional performance and psychological profiles.
Key Findings:
AYAs with CPSP reported greater pain interference (p < 0.05) and exhibited dysregulated physiological responses to exertion compared to healthy controls.
Within the CPSP group, psychological distress, hair cortisol concentration, physical performance, and resting-state cortical activity were interrelated (p < 0.05).
Two distinct CPSP phenotypes were identified: low functioning and high functioning, differing in pain catastrophizing, autonomic reactivity, and resting state SMC activity.
Interpretation:
CPSP in AYAs is linked to unique autonomic, neuroendocrine, and cortical signatures that correlate with functional performance, suggesting a need for integrated assessments in understanding CPSP and informing treatment strategies.
Limitations:
Cross-sectional design limits causal inferences.
Small sample size may affect generalizability.
Potential biases in self-reported measures may influence results.
Conclusion:
Integrating physiological biomarkers and neuroimaging with performance assessments may enhance understanding and phenotyping of CPSP in AYAs.
Older patients with documented cognitive impairment also experienced greater postoperative functional decline following elective total knee arthroplasty
