合并症负担对肺癌生存产生负面影响。几种合并症评分已经被描述并且目前正在使用。当前的挑战是选择最能反映其对生存影响的合并症评分。在这里，我们比较了七个可用的合并症评分（查尔森合并症指数、年龄调整的查尔森合并症指数、适应肺癌的查尔森合并症指数、国家癌症研究所综合指数、国家癌症研究所适应肺癌综合指数、Elixhauser 评分和适应肺癌的 Elixhauser 评分）肺癌），并根据《国际疾病和相关健康问题统计分类》第十次修订版编码管理数据，以选择预测四个月生存率的最佳预后指数。该队列包括每位诊断为肺癌住院治疗的患者2011 年至 2015 年期间，我们机构的胸部肿瘤科首次进行了这项研究。计算了这七个分数，并将其用于 Cox 回归方法，以模拟它们与四个月生存率的关系。然后，计算比较不同模型之间相对拟合优度的参数（Akaike 信息标准、贝叶斯信息标准）和判别参数（C 统计量和 Harrell 的 c 统计量）。最终使用 bootstrap 方法对 1,000 个样本进行了这些参数的敏感性分析。总共纳入了 633 名患者。男性、组织学类型、转移状态、CCI、CCI 肺、Elixhauser 评分和 Elixhauser 肺与较差的四个月生存率相关。 Elixhauser 评分的 AIC 和 BIC 最低，c 统计量和 Harrell 的 c 统计量最高。这些结果在敏感性分析中得到了证实，其中 Elixhauser 评分的这些区分参数与其他评分显着不同。基于该队列，Elixhauser 评分是预测住院肺癌四个月生存的最佳预后合并症评分患者。© 2023。作者。

The comorbidity burden has a negative impact on lung-cancer survival. Several comorbidity scores have been described and are currently used. The current challenge is to select the comorbidity score that best reflects their impact on survival. Here, we compared seven usable comorbidity scores (Charlson Comorbidity Index, Age adjusted Charlson Comorbidity Index, Charlson Comorbidity Index adapted to lung cancer, National Cancer Institute combined index, National Cancer Institute combined index adapted to lung cancer, Elixhauser score, and Elixhauser adapted to lung cancer) with coded administrative data according to the tenth revision of the International Statistical Classification of Diseases and Related Health Problems to select the best prognostic index for predicting four-month survival.This cohort included every patient with a diagnosis of lung cancer hospitalized for the first time in the thoracic oncology unit of our institution between 2011 and 2015. The seven scores were calculated and used in a Cox regression method to model their association with four-month survival. Then, parameters to compare the relative goodness-of-fit among different models (Akaike Information Criteria, Bayesian Information Criteria), and discrimination parameters (the C-statistic and Harrell's c-statistic) were calculated. A sensitivity analysis of these parameters was finally performed using a bootstrap method based on 1,000 samples.In total, 633 patients were included. Male sex, histological type, metastatic status, CCI, CCI-lung, Elixhauser score, and Elixhauser-lung were associated with poorer four-month survival. The Elixhauser score had the lowest AIC and BIC and the highest c-statistic and Harrell's c-statistic. These results were confirmed in the sensitivity analysis, in which these discrimination parameters for the Elixhauser score were significantly different from the other scores.Based on this cohort, the Elixhauser score is the best prognostic comorbidity score for predicting four-month survival for hospitalized lung cancer patients.© 2023. The Author(s).