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Elevated air quality index and fine particulate matter levels contribute to the poor prognosis and progression of nonsmall-cell lung cancer: A cohort study combined with external validation

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机构: [1]Soochow Univ, Affiliated Dushu Lake Hosp, Dept Med Resp Emergency & Intens Care Med, Suzhou, Peoples R China [2]Soochow Univ, Affiliated Hosp 1, Dept Med Resp Emergency & Intens Care Med, Suzhou, Peoples R China [3]Gusu Dist Ctr Dis Control & Prevent, Suzhou, Peoples R China [4]Univ Elect Sci & Technol China, Med Sch, Sichuan Canc Hosp, Dept Med Oncol, Chengdu, Peoples R China [5]Univ Elect Sci & Technol China, Sichuan Canc Hosp, Dept Thorac Surg, Med Sch, Chengdu, Sichuan, Peoples R China
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关键词: air quality index NSCLC PM2 5 prediction model prognosis

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Background Poor air quality can result in a variety of respiratory disorders. However, the air quality index (AQI) and the level of fine particulate matter (PM2.5) on the progression and prognosis of nonsmall-cell lung cancer (NSCLC) are unclear. Methods We launched a cohort study focused on the relationship between air quality and overall survival as well as progression, incorporating data from 590 patients with NSCLC in our medical center between November 1, 2013 and March 1, 2016. Forty-nine patients from Sichuan Cancer Hospital were used for validation. Results Cases with poorer AQI 6 months before NSCLC diagnosis were more likely to progress to stage III to IV NSCLC than controls (OR = 2.61, 95% CI 1.35-5.24, p = 0.005). Similarly, if exposed to high levels of PM2.5 during these 6 months, overall survival was poor (HR [95% CI] = 1.53 [1.13, 2.07], p = 0.006). According to multivariate analysis, age, gender, KPS, PM2.5, hyperlipemia, and NSCLC stage were independent risk factors of overall survival. A predictive model developed by these factors above yielded a favorable agreement (C-index = 0.758) on the calibration curve. External validation was conducted by 46 patients from Sichuan Cancer Hospital displaying an AUC of 0.724 (0.684-0.763). Conclusions PM2.5 and AQI levels affect disease progression and long-term survival in NSCLC patients. An overall survival prediction model based on the PM2.5 level can help clinicians predict the risk of death in NSCLC.

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基金编号: BE2016672 H2019028

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出版当年[2022]版:
大类 | 3 区 医学
小类 | 3 区 肿瘤学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 肿瘤学
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出版当年[2022]版:
Q2 ONCOLOGY
最新[2023]版:
Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Soochow Univ, Affiliated Dushu Lake Hosp, Dept Med Resp Emergency & Intens Care Med, Suzhou, Peoples R China
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通讯机构: [1]Soochow Univ, Affiliated Dushu Lake Hosp, Dept Med Resp Emergency & Intens Care Med, Suzhou, Peoples R China [*1]Department of Medicine, Respiratory, Emergency, and Intensive Care Medicine, The Affiliated Dushu Lake Hospital of Soochow University, Suzhou, China.
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