Mörth Charlott, Kafantaris Ioannis, Castegren Markus, Valachis Antonios
Centre for Clinical Research Sörmland, Uppsala University, SE-631 88 Eskilstuna, Sweden; Department of Oncology, Mälarsjukhuset, SE-631 88 Eskilstuna, Sweden.
Department of Pulmonary Medicine, Mälarsjukhuset, SE-631 88 Eskilstuna, Sweden.
Oncol Lett. 2016 Aug;12(2):1144-1148. doi: 10.3892/ol.2016.4678. Epub 2016 Jun 6.
The aim of the current retrospective study was to validate a predictive model for radiation pneumonitis (STRIPE) in an independent dataset and to investigate whether the addition of other potential risk factors could strengthen the accuracy of the model. Consecutive patients with non-small cell lung carcinoma (NSCLC; n=71) treated with definitive concurrent chemotherapy and radiotherapy were retrospectively assessed for radiation pneumonitis (RP). The results identified that 16 (23%) patients developed grade ≥2 RP. Furthermore, STRIPE score (intermediate vs. low risk) was independently associated with the development of RP [odds ratio (OR), 3.72; 95% confidence interval (CI), 1.00-13.89], whereas current smoking status was found to be protective against RP (OR, 0.09; 95% CI, 0.01-0.78). Similar discriminatory power of the STRIPE score was observed as in the original study. The addition of smoking status strengthened the model's discriminatory ability to predict RP. Thus, the addition of smoking status as a risk factor may strengthen the accuracy of the model for predicting RP in patients with NSCLC.
本回顾性研究的目的是在一个独立数据集中验证放射性肺炎预测模型（STRIPE），并研究添加其他潜在风险因素是否能提高该模型的准确性。对接受根治性同步放化疗的非小细胞肺癌（NSCLC；n = 71）连续患者进行放射性肺炎（RP）的回顾性评估。结果发现，16例（23%）患者发生≥2级RP。此外，STRIPE评分（中度风险与低风险）与RP的发生独立相关[比值比（OR），3.72；95%置信区间（CI），1.00 - 13.89]，而当前吸烟状态对RP具有保护作用（OR，0.09；95% CI，0.01 - 0.78）。观察到STRIPE评分的鉴别能力与原研究相似。添加吸烟状态增强了模型预测RP的鉴别能力。因此，添加吸烟状态作为风险因素可能会提高NSCLC患者RP预测模型的准确性。
