70岁以上老年肺癌患者预后多因素分析

doi:10.3969/j.issn.1004-616x.2014.04.007

Abstract

Abstract:

OBJECTIVE: This study aimed at evaluating the survival of patients older than 70 with lung cancer and explore the independent prognostic factors in this group of patients. METHODS：The modified cumulative illness rating scale-geriatric(MCIRS-G) was scored for a cohort of elderly patients with lung cancer. Total score (TSC)，severity index(SV) and comorbidity index(CM) were obtained. Clinical features were also used. All patients underwent a follow-up for mortality. Univariate analysis and multivariate analysis were used to identify factors associated with prognosis in the enrolled patients. RESULTS：The overall median survival was 30.52 months and the incidence of complications was 82.26%. TSC，SV and CM were positively correlated with age(r were 0.656，0.739 and 0.677，respectively，P<0.05). By univariate analysis，age，pathological type，clinical stages，American Eastern Cooperative Oncology Group(ECOG) performance status (PS)，differentiation degree，surgery，TSC，SV and CM were significantly related to prognosis and survival in geriatric lung cancer patients(P<0.05). By multivariable analysis，clinical stages，ECOG PS，differentiation degree，surgery，TSC，SV and CM were independent prognostic factors. CONCLUSION：Clinical stages，differentiation degree，comorbidity，ECOG PS and surgery may be independent prognostic factors in the elderly with lung cancer. The MCIRS-G could effectively assess the influence of comorbidities on the prognosis of lung cancer in this patient group.

Key words: elderly, lung cancer, MCIRS-G, prognosis

RUI Meng，FANG Ting-zheng，DUN Yun-you，ZHANG Xin-hong. Multivariate analysis of prognostic factors in geriatric lung cancer patients aged 70 and over[J]. Carcinogenesis, Teratogenesis & Mutagenesis, doi: 10.3969/j.issn.1004-616x.2014.04.007.

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Multivariate analysis of prognostic factors in geriatric lung cancer patients aged 70 and over

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