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| Construction and evaluation of a nomogram prediction model for periradiotherapy malnutrition risk in patients with
esophageal cancer |
| 1Xi Conglin,1Wang Liqing ,1Dai Lingling ,2Xu Fang ,1Yan Suhua ,1Ding Ying ,1Yang Fei ,3Sun Caifeng,1Dong Xiantao ,1Zhang Yongjie |
| 1Department of Medical Oncology Huai 'an Hospital Affiliated to Xuzhou Medical University Huai 'an Second People's Hospital
Huai'an 223001 Jiangsu China
2Department of Nursing Huai'an Hospital Affiliated to Xuzhou Medical University Huai'an Second
People' s Hospital Huai ' an 223001 Jiangsu China
3
Thoracic Surgery Huai ' an Hospital Affiliated to Xuzhou Medical
University Huai'an Second People's Hospital Huai'an 223001 Jiangsu China |
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Abstract To construct a nomogram prediction model for the risk of malnutrition in patients with esophageal
cancer EC during periradiotherapy and to evaluate the predictive performance of the model. Method From March 2019 to March
2022 194 EC patients who underwent radiotherapy in our hospital were taken One day after radiotherapy scored Patient-generated
Subjective Global Assessment PG-SGA and serum albumin level were used for malnutrition screening. According to the presence or
absence of malnutrition they were grouped into a malnutrition group PG-SGA score ≥4 and serum albumin <35 g / L and a good
nutrition group PG-SGA score <4 or serum albumin ≥35 g / L . Multivariate Logistic regression analysis was applied to determine the
influencing factors of malnutrition risk in EC patients during periradiotherapy and a nomogram prediction model was constructed based
on the predictive factors and then the discriminativeness and precision of the model were verified by the area under the ROC
curve AUC and H - L goodness of fit. Result Malnutrition occurred in 83 EC patients and the incidence of malnutrition was
42. 78% univariate analysis showed that there were significant differences between the malnutrition group and the good nutrition group in 9 factors including age thin monthly household income per capita whether to undergo surgery tumor stage the number of
accompanying gastrointestinal symptoms concurrent chemotherapy dysphagia and depression P < 0. 05 Logistic regression
analysis showed that the risk factors of malnutrition in EC patients during periradiotherapy were age ≥ 60 years old weight loss tumor
stage > stage Ⅱ number of accompanying gastrointestinal symptoms ≥ 2 concurrent chemotherapy and dysphagia P < 0. 05
regression formula of malnutrition assessment in EC patients during periradiotherapy Logit P = -11. 563+0. 958×age+1. 167×weight
loss+ 0. 915 × tumor stage + 0. 903 × number of accompanying gastrointestinal symptoms + 1. 306 × concurrent chemotherapy + 0. 839 ×
dysphagia the above 6 risk factors were introduced into R software to establish a nomogram model the AUC was 0. 786 > 0. 75
95%CI = 0. 722-0. 850 the calibration curve and the ideal curve fit well and goodness-of-fit H-L test
χ
2 = 7. 114 P = 0. 524
indicating that the nomogram model has good discrimination and accuracy in predicting malnutrition in EC patients during
periradiotherap. Conclusion The nomogram prediction model constructed based on six factors including age ≥60 years weight loss
tumor stage >Ⅱ number of accompanying gastrointestinal symptoms ≥2 concurrent chemotherapy and dysphagia has a good effect
on the risk of malnutrition in EC patients during periradiotherapy The predictive role of esophageal cancer can provide reference for
oncology medical staff to take preventive nursing intervention in the periradiotherapy period of esophageal cancer patients in a timely
manner.
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| Cite this article: |
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1Xi Conglin,1Wang Liqing,1Dai Lingling, et al. Construction and evaluation of a nomogram prediction model for periradiotherapy malnutrition risk in patients with
esophageal cancer[J]. Electron J Metab Nutr Cancer, 2022, 9(6): 765-771.
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| URL: |
| http://182.92.200.144/EN/ OR http://182.92.200.144/EN/Y2022/V9/I6/765 |
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