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| The ratio of L3 paravertebral muscle index to white ball predicts the potential value of dystrophy in advanced non-small cell
lung cancer |
| Li Hong, Qiao Kehong, Shang Xiaofeng |
| Department of Respiratory and Critical Care Medicine Taiyuan Central Hospital Taiyuan 030000 Shanxi China |
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Abstract Objective Explore the relationship between skeletal muscle index at the third lumbar vertebra L3
-SMI and white ball
ratio and advanced non-small cell lung cancer NSCLC malnutrition to clarify the efficacy of L3
-SMI and white ball ratio to predict
severe malnutrition status in patients with advanced NSCLC. Method Data of 217 advanced NSCLC patients collected in Taiyuan
Central Hospital from February 2021 to February 2024 were divided into two groups according to PG - SGA score namely severe
malnutrition group n = 43 grade C and non-severe malnutrition n = 174 grade A+B comparing the demographics and clinical
characteristics of the two groups univariate and binary Logistic regression analysis to affect independent factors of patients '
malnutrition using nomogram analysis model L3
-SMI and A/ G ratio by ROC curve analysis. Result Compared with non -severe
malnutrition later clinical stage higher age and lower A/ G ratio L3
-SMI in severe malnutrition P<0. 05 . Further binary Logistic
regression analysis indicated that clinical stage Ⅳ older age lower A/ G ratio and lower L3
-SMI were independent factors affecting
severe malnutrition in advanced NSCLC patients. The nomogram was constructed from independent factors with C- index of 0. 99
model threshold probability range from 1% to 99% with net yield> 0 absolute agreement between true and predicted values of 0. 011
and prediction model AUC of 0. 942 95% CI 0. 879 - 0. 999. Meanwhile by the ROC curve analysis the A/ G ratio and L3
- SMI
predicted the AUC of severe malnutrition in advanced NSCLC were 0. 919 and 0. 908 respectively. Conclusion L3
-SMI and A/ G ratio
is the main evaluation index of severe malnutrition in patients with advanced NSCLC which has high prediction efficacy. At the same
time clinical stage of advanced and late are also independent factors that induce severe malnutrition in patients. By focusing on
monitoring the change of L3
- SMI and A/ G ratio levels it can detect body abnormalities in time to intervene and improve the
prognosis.
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