1.Establishment and validation of risk prediction model for bone metastasis of NSCLC
Chunxiao Hu ; Yafeng Liu ; Yixin Su ; Jianqiang Guo ; Wenting Zhang ; Xueqin Wang ; Jun Xie ; Wanfa Hu ; Jing Wu ; Yingru Xing ; Dong Hu ; Xuansheng Ding
Acta Universitatis Medicinalis Anhui 2022;57(5):832-836
Objective:
To construct nomogram to predict the risk of bone metastasis in patients with non-small cell lung cancer(NSCLC).
Methods:
The clinical data of NSCLC patients diagnosed in the hospital were retrospectively analyzed, including the occurrence of bone metastasis, age, gender, pathological type, smoking status, PS score, TN stage, metastasis of other sites before bone metastasis, carcinoembryonic antigen(CEA) level, alpha fetoprotein(AFP) level, serum calcium(Ca2+), serum phosphorus(P), alkaline phosphatase(ALP) level, which were determined by univariate and multivariate logistic regression analysis. Receiver operating characteristic curve(ROC) and decision curve analysis were used, DCA was used to verify the accuracy and clinical benefit of the model, and nomogram was used to visualize the model.
Results:
Area under the ROC curve(AUC) showed that in the modeling group(n=138) and the validation group(n=92), the AUC value predicted by combined indicators(age, gender, pathological type, CEA, ALP)(modeling group=0.792, validation group=0.629) was higher than that predicted by single indicator.
Conclusion
The prediction model constructed in this study has good effect and can provide reference for clinical screening of high-risk patients with bone metastasis of NSCLC.
Result Analysis
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