Prediction modeling using routine clinical parameters to stratify survival in malignant pleural mesothelioma patients complicated with malignant pleural effusion.

Prediction modeling using routine clinical parameters to stratify survival in malignant pleural mesothelioma patients complicated with malignant pleural effusion.
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使用常规临床参数对恶性胸膜间皮瘤合并恶性胸腔积液患者的生存进行分层的预测模型

DOI:
10.1111/1759-7714.14202
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发表时间:
2021-12
期刊:
影响因子:
2.9
通讯作者:
Zhang Y
Zhang Y
中科院分区:
医学3区
文献类型:
--
作者:
Zhang S;Zhang Y;Feng W;Shi Z;Shi H;Zhang Y

文献摘要

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恶性胸腔积液常见于恶性胸膜间皮瘤。MPM和MPE患者的生存率是异质的。使用常规临床参数的LENT和BRIMS评分分别用于预测CIMPE和MPM患者的生存率。本研究的目的是对选定的MPM伴MPE患者的生存进行分层。从诊断为MPM和MPE的受试者中收集数据。使用临床变量组合应用LENT和BRIMS评分对受试者进行分层并比较生存特征。总共有101例MPM合并MPE的患者被纳入研究。中位随访时间为71个月(四分位距:24-121个月)。总体中位生存期为24(四分位距:12-52个月)。根据LENT评分,低、中、高危组分别占65.3%(66例)、34.7%(35例)和0%。两组的累积生存率具有统计学意义(p = 0.031)。LENT评分的曲线下面积(AUC)为0.662。根据BRIMS评分,第一、第二、第三和第四风险组分别占1.0%(1例)、42.9%(35例)、28.7%(29例)和19.4%(36例)。风险组1和2的患者生存率显著高于风险组3和4的患者(p = 0.037)。BRIMS评分的AUC为0.605。使用常规可用的临床变量,LENT和BRIMS评分可以将选定的MPM和MPE患者分为具有统计学差异的生存率的风险组。在这项研究中,MPM合并MPE患者的个体生存率差异很大。LENT和BRIMS评分均有助于对MPM并发MPE患者的生存风险进行分层,表现为一般至良好。应在设计充分的前瞻性研究中建立更有效的预测模型。
Malignant pleural effusion (MPE) is common in malignant pleural mesothelioma (MPM). The survival of patients with MPM and MPE is heterogeneous. The LENT and BRIMS scores using routine clinical parameters were developed to predict the survival of patients with unselected MPE and MPM, respectively. This study aimed to stratify the survival of selected MPM patients with MPE. Data were collected from subjects diagnosed with MPM and MPE. The LENT and BRIMS scores were applied using a combination of clinical variables to stratify subjects and compare survival characteristics. In total, 101 patients with MPM complicated by MPE were included in the study. The median follow‐up time was 71 months (interquartile range: 24–121 months). Overall median survival was 24 (interquartile range: 12–52 months). Based on the LENT score, the low‐, moderate‐, and high‐risk groups accounted for 65.3% (66 cases), 34.7% (35 cases), and 0%, respectively. The cumulative survival rates of the two groups were statistically significant (p = 0.031). The area under the curve (AUC) of the LENT score was 0.662. Based on the BRIMS score, the first, second, third, and fourth risk groups accounted for 1.0% (1 case), 42.9% (35 cases), 28.7% (29 cases), and 19.4% (36 cases), respectively. Survival was significantly higher in patients in the risk groups 1 and 2 than in patients in the risk groups 3 and 4 (p  = 0.037). The AUC of the BRIMS score was 0.605. Using routinely available clinical variables, both LENT and BRIMS scores could stratify selected MPM and MPE patients into risk groups with statistically different survival. The individual survival of patients with MPM combined with MPE varied greatly in this study. Both LENT and BRIMS scores could help stratify the survival risk of patients with MPM complicated by MPE with fair‐to‐good performance. More effective predictive models should be established in adequately designed prospective studies.