Role of Comorbidity on Survival after Radiotherapy and Chemotherapy for Nonsurgically Treated Lung Cancer

BACKGROUND: Comorbidity, such as diseases of the cardiovascular, pulmonary, and other systems, may influence prognosis in lung cancer and complicate its treatment. The performance status of patients, which is a known prognostic marker, may also be influenced by comorbidity. Due to the close link between tobacco smoking and lung cancer, and because lung cancer is often diagnosed in advanced ages (median age at diagnosis in Denmark is 70 years), comorbidity is present in a large proportion of lung cancer patients. METHODS: Patients with any stage lung cancer who did not have surgical treatment were identified in the Danish Lung Cancer Registry. Danish Lung Cancer Registry collects data from clinical departments, the Danish Cancer Registry, Danish National Patient Registry, and the Central Population Register. A total of 20,552 patients diagnosed with lung cancer in 2005 to 2011 were identified. Comorbidity data were extracted from the Danish National Patient Registry, which is a register of all in- and outpatient visits to hospitals in Denmark. By record linkage, lung cancer patients who had previously been diagnosed with comorbid conditions were assigned a Charlson comorbidity index. Initial cancer treatment was categorized as chemotherapy, chemoradiation, radiotherapy, or no therapy. Data on Charlson comorbidity index, performance status, age, sex, stage, pulmonary function (forced expiratory volume in 1 second), histology, and type of initial treatment (if any) were included in univariable and multivariable Cox proportional hazard analyses. RESULTS: Treatment rates for chemotherapy and chemoradiation declined with increasing comorbidity and in particular increasing age. Women received treatment more often than men. In a univariable analysis of all patients combined, stage, performance status, age, sex, lung function, and comorbidity were all associated with survival. Apart from excess mortality among patients with unspecified histological subtypes (hazard ratio), there was no clear difference between the specified subtypes. When adjusting for the other factors, particularly age, sex, performance status, and stage proved to be robust while risk estimates for comorbidity were attenuated somewhat. When grouped by the three types of cancer treatment or no treatment, there was no influence of comorbidity on radiation therapy and modest influence on survival after chemotherapy and chemoradiation. In contrast, age remained a strong negative prognosticator after multivariate adjustment as did stage and performance status. CONCLUSION: Comorbidity has a limited effect on survival and only for patients treated with chemotherapy. It is rather the performance of the patient at diagnosis than the medical history that prognosticates survival in this patient group

High procedure volume is strongly associated with improved survival after lung cancer surgery

PurposeStudies have reported an association between hospital volume and survival for non–small-cell lung cancer (NSCLC). We explored this association in England, accounting for case mix and propensity to resect.MethodsWe analyzed data on 134,293 patients with NSCLC diagnosed in England between 2004 and 2008, of whom 12,862 (9.6%) underwent surgical resection. Hospital volume was defined according to number of patients with resected lung cancer in each hospital in each year of diagnosis. We calculated hazard ratios (HRs) for death in three predefined periods according to hospital volume, sex, age, socioeconomic deprivation, comorbidity, and propensity to resect.ResultsThere was increased survival in hospitals performing > 150 surgical resections compared with those carrying out < 70 (HR, 0.78; 95% CI, 0.67 to 0.90; Ptrend < .01). The association between hospital volume and survival was present in all three periods of follow-up, but the magnitude of association was greatest in the early postoperative period.ConclusionHigh-volume hospitals have higher resection rates and perform surgery among patients who are older, have lower socioeconomic status, and have more comorbidities; despite this, they achieve better survival, most notably in the early postoperative period

Reclassification of neuroendocrine tumors improves the separation of carcinoids and the prediction of survival.

International audienceINTRODUCTION: The classification of neuroendocrine lung tumors has changed over the last decades. Reliable diagnoses are crucial for the quality of clinical databases. The purpose of this study is to determine to which extent the use of different diagnostic criteria of neuroendocrine lung tumors has influenced the classification of these tumors. The prognostic information of tumor, node, metastasis descriptors was also evaluated. METHODS: We retrieved 110 tumors from the period 1989 to 2007. All tumors were reclassified according to the World Health Organization classification of 2004. Tumor, node, metastasis descriptors were evaluated. RESULTS: By reclassification, the diagnoses on 48 tumors (44%) were changed. More diagnoses were changed in the older part of the material. A significantly different survival was shown for all patients in relation to tumor size (p < 0.0001). An endobronchial component was seen in 54%, 31%, and 11% of typical carcinoid, atypical carcinoid, and large cell neuroendocrine carcinoma, respectively with no impact on survival (p = 0.90). For all included patients the survival was significantly worse for patients having metastasis to N1 nodes as compared with N0 (p = 0.03). However, the number of removed lymph nodes were insufficient for definitive determination of the prognostic impact of node metastases. Regarding the revised diagnoses, a significant difference in survival between typical carcinoid, atypical carcinoid, large cell neuroendocrine carcinoma and small cell carcinoma was noted (p < 0.005). CONCLUSION: Tumors must be rediagnosed before entering a central database. Tumor and node seem to be useful predictors of survival

The effect of comorbidity on stage-specific survival in resected non-small cell lung cancer patients.

AIM: To quantify the effect of comorbidity on stage-specific survival in resected non-small cell lung cancer (NSCLC) patients. METHODS: From the Danish Lung Cancer Registry, 20,461 patients diagnosed with lung cancer between 1st January 2005 and 31st December 2010 were identified. Among 3152 NSCLC patients who underwent surgical resection, mortality hazard ratios were calculated during three consecutive time periods following surgery (0-1 month, 1 month-1 year and >1 year) according to Charlson comorbidity score (CCS 0, 1, 2, 3+), Eastern Cooperative Oncology Group (ECOG) performance status, lung function, age, sex, pathological T (pT) and N (pN) stage using Cox proportional hazard modelling. The Kaplan Meier method was used to describe stage-specific survival according to the CCS. RESULTS: Severe comorbidity (CCS 3+) was independently associated with significantly higher death rates throughout the three periods of follow-up [Hazard ratio (HR) 2.06 (1.13-3.75) for CCS 3+ in 0-1 month, 1.57 (1.17-2.12) 3+ during1 month-1 year and 1.84 (1.42-2.37) after 1 year]. Stage-specific 5-year survival in patients with severe comorbidity was significantly lower than in patients without comorbid disease [e.g. 38% (95% confidence interval (CI) 23-53%) for pT1 and CCS 3+ versus 69% (62-75%) for pT1 and CCS 0]. CONCLUSION: Severe comorbidity affects survival of NSCLC patients who undergo surgical resection by as much as a single stage increment and this effect persists throughout follow-up. Further research may be necessary to help identify which patients are most likely to benefit from surgery