A novel nomogram based on inflammation biomarkers for predicting radiation cystitis in patients with local advanced cervical cancer

列线图 医学 放射治疗 内科学 多元分析 单变量分析 肿瘤科 曲线下面积 宫颈癌 中性粒细胞与淋巴细胞比率 泌尿科 阶段(地层学) 单变量 多元统计 癌症 胃肠病学 淋巴细胞 古生物学 统计 数学 生物
作者
Jie Lin,Jiexiang Lin,Linying Liu,Ning Xie,Haijuan Yu,Shaohui Deng,Yang Sun
出处
期刊:Cancer Medicine [Wiley]
卷期号:13 (10) 被引量:3
标识
DOI:10.1002/cam4.7245
摘要

Abstract Backgrounds Platelet‐to‐albumin ratio (PAR) is a new systemic inflammatory prognostic indicator associated with many inflammatory diseases. However, its role in radiation cystitis (RC) is obscure. This study aimed to explore whether PAR could be used as an effective parameter for predicting the RC risk in local advanced cervical cancer (CC) treated with radiotherapy. Methods A total of 319 local advanced CC patients who received radical radiotherapy at Fujian Cancer Hospital were enrolled between December 2018 and January 2021. Demographics and clinical parameters were retrospectively analyzed. Univariate and multivariate analyses were used to identify the risk factors for RC. Backward and stepwise regression was applied to construct two monograms‐one with primary significant factors and the other with extra inflammatory biomarkers. A DeLong test was applied to compare the prediction abilities of two nomograms. Calibration curves and decision curve analysis (DCA) evaluated its prediction consistency, discrimination ability, and clinical net benefit. Results Univariate analysis showed that age, tumor size, stage, total radiation dose, pelvic radiation dose, Systemic Immune‐Inflammation Index (SII), platelet‐to‐lymphocyte ratio (PLR), and PAR were significantly associated with RC occurrence (all p < 0.05). Multivariate analyses indicated that age, tumor size, stage, total radiation dose, and PAR were independent factors (all p < 0.05). Then, the area under curve (AUC) value of the nomogram SII+PAR was higher (AUC = 0.774) compared to that of the baseline nomogram (AUC = 0.726) ( p Delong = 0.02). Also, the five‐cross validation confirmed the stability of the nomogram SII+PAR . Moreover, the calibration curve and DCA exhibited the nomograms' good prediction consistency and clinical practicability. Conclusions PAR and SII could be valued for CC patients who are treated with radiation therapy. The nomogram based on PAR and SII could stratify patients who need extra intervention and nursing care to prevent bladder radiation damage and improve patients' quality of life.
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