Construction and Validation of a Risk Prediction Model for Cancer-Related Cognitive Impairment in Lung Cancer Patients.
Nomogram predicted cognitive impairment risk with strong accuracy in lung cancer patients
Construction and Validation of a Risk Prediction Model for Cancer-Related Cognitive Impairment in Lung Cancer Patients.
Cancer-related cognitive impairment (cancer-related cognitive impairment) is a major clinical challenge faced by lung cancer patients during or after treatment.
To construct a visual assessment tool for the identification of cancer-related cognitive impairment in lung cancer survivors based on the theory of unpleasant symptoms (theory of unpleasant symptoms), complementing existing predictive models with a multidimensional theoretical perspective.
A prospective, observational, single-centre study.
model correctly separated high from low risk patients most of the time
Of these, 117 (33.4%) experienced cancer-related cognitive impairment.
The predictive model identified significant predictors, including age, pathological stage, chemotherapy, post-traumatic stress disorder (post-traumatic stress disorder), depression and social support scores.
Calibration plots demonstrated a strong correlation between predicted and observed rates, and decision curve analysis revealed optimal net benefit at threshold probabilities ranging from 10% to 80%.
The risk prediction model constructed in this study, based on theory of unpleasant symptoms, demonstrates satisfactory predictive ability superior to some existing models.
It integrates physiological, psychological and environmental factors, serving as a valuable complementary tool for healthcare professionals in identifying high-risk groups, particularly in clinical settings emphasizing holistic symptom management.