AUTHOR=Liang Mu Zi , Chen Peng , Knobf M. Tish , Molassiotis Alex , Tang Ying , Hu Guang Yun , Sun Zhe , Yu Yuan Liang , Ye Zeng Jie 

TITLE=Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC)

JOURNAL=Frontiers in Psychiatry

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2023.1102258

DOI=10.3389/fpsyt.2023.1102258

ISSN=1664-0640

ABSTRACT=<sec><title>Objective</title><p>The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer.</p></sec><sec><title>Methods</title><p>A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B). Generalized Deterministic Input, Noisy “And” Gate (G-DINA) was performed to measure cognitive diagnostic probabilities (CDPs) of resilience. Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental prediction value of cognitive diagnostic probabilities over total score.</p></sec><sec><title>Results</title><p>CDPs of resilience improved prediction of 6-month QoL above conventional total score. AUC increased from 82.6–88.8% to 95.2–96.5% in four cohorts (all <italic>P</italic> &lt; 0.001). The NRI ranged from 15.13 to 54.01% and IDI ranged from 24.69 to 47.55% (all <italic>P</italic> &lt; 0.001).</p></sec><sec><title>Conclusion</title><p>CDPs of resilience contribute to a more accurate prediction of 6-month QoL above conventional total score. CDMs could help optimize Patient Reported Outcomes (PROs) measurement in breast cancer.</p></sec>