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Updated: May 28, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Clinical analysis of the correlation between nutritional risk screening and prognosis of patients with chronic
Qinghua Wu1, Najuan Cui2, BeiBei Wang3
1Qinghua Wu Department of Respiratory, Beijing Hospital of integrated Traditional Chinese and Western Medicine Hospital of integrated Traditional Chinese and Western Medicine Beijing University of Chinese Medicine Beijing, 100039, China.
Objective:
To explore the clinical correlation between nutritional risk screening and prognosis of patients with chronic obstructive pulmonary disease (COPD).
Method:
Clinical data of 80 patients with COPD admitted to Beijing Hospital of integrated Traditional Chinese and Western Medicine between August 2020 and August 2023 were retrospectively analyzed. Patients were divided into the Mortality group (n=17) and the survival group (n=63) according to the three years follow-up outcomes. The related data were compared between the two groups, the prognostic factors were analyzed, and the correlation between nutritional risk and prognostic risk factors was explored. The value of nutritional risk in prognosis prediction was analyzed by ROC curve.
Result:
Binary logistic regression analysis showed that complications (>2), NRS2002 score (nutritional risk), albumin (ALB), number of acute exacerbations of COPD (AECOPD) (≥2), pulmonary dysfunction (moderate to severe), and ventilator-associated pneumonia (VAP) after admission were prognostic risk factors (P<0.05). Complications, number of AECOPD, pulmonary dysfunction, and ALB were correlated with nutritional status (P<0.05). ROC curve analysis found that the AUC of NRS2002 score in prognosis prediction was 0.679(95%CI, 0.549-0.810), with a sensitivity of 88.2%, and a specificity of 47.6%, indicating the predictive value of this variable.
Conclusion:
Complications (>2), NRS2002 score (nutritional risk), ALB, number of AECOPD (≥2), pulmonary dysfunction (moderate to severe), and VAP after admission are prognostic risk factors. Nutritional status may be closely related to prognostic risk factors and might be used as a predictor for prognosis.
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