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O. Espin-Garcia



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    O24 - Cancer Control and Epidemiology III (ID 134)

    • Event: WCLC 2013
    • Type: Oral Abstract Session
    • Track: Prevention & Epidemiology
    • Presentations: 1
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      O24.05 - The impact of body mass index on survival in stage 3 and 4 lung cancer (ID 663)

      16:55 - 17:05  |  Author(s): O. Espin-Garcia

      • Abstract
      • Presentation
      • Slides

      Background
      Obesity has been shown to be an adverse prognostic factor in several cancers, including breast, colorectal, endometrial, ovarian, pancreatic and prostate. However, studies of body mass index (BMI) and outcomes in lung cancer are lacking. Understanding the clinical impact of body weight on cancer outcomes is important given the high prevalence of obesity globally. We retrospectively evaluated the distribution of BMI at diagnosis and its effects on survival in stage 3 and 4 lung cancer patients.

      Methods
      1,121 patients with stage 3 or 4 lung cancer from a single institution were analyzed. Clinicopathologic data were collected retrospectively. Adjusted hazard ratios (aHR) for overall survival (OS) and progression-free survival (PFS) were generated by Cox regression for each BMI (kg/m[2]) category (underweight: <18.5, normal: 18.5-24.9, overweight: 25.0-29.9, obese: ≥30), after adjusting for age, gender, Charlson Comorbidity Index, performance status (PS), clinical stage and treatment regimen.

      Results
      In this cohort (n=1,121), the frequencies of stage 3A, 3B and 4 lung cancers were 35%, 32% and 33%, respectively. There were 633 (57%) adenocarcinomas, 238 (21%) squamous cell carcinomas, 38 (3%) small cell lung cancers, and 210 (19%) other histologies. Patients had variable BMI: 82 (7%) underweight, 550 (49%) normal weight, 333 (30%) overweight, 156 (14%) obese. Being overweight/obese was associated with older age (p=0.002) and stage 3A disease (p=0.001); underweight patients were more likely current smokers (p<0.001). OS was significantly decreased with age ≥65, males, PS 2-3, stage 4, and lack of systemic treatment (p<0.001). Median OS in underweight, normal weight, overweight and obese patients were 14, 23, 24 and 26 months, respectively. Compared with BMI ≥18.5, being underweight was associated with significantly poorer OS (aHR 1.33, 95% CI 1.01-1.77, p=0.045), but not PFS (aHR 1.12, 95% CI 0.86-1.46, p=0.414). The magnitude of this association was greatest among those aged less than 65 years (aHR 1.57, 95% CI 1.11-2.22, p=0.011).

      Conclusion
      In stage 3 and 4 lung cancer, being underweight at diagnosis is associated with significantly poorer OS, especially in patients younger than 65 years of age. Lower BMI is mostly observed in current smokers, while above normal BMI is seen in older patients and stage 3A disease. Unlike other malignancies, obesity does not increase mortality in this population. The BMI-survival relationship in lung cancer requires further study.

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    P1.22 - Poster Session 1 - Epidemiology, Etiology (ID 166)

    • Event: WCLC 2013
    • Type: Poster Session
    • Track: Prevention & Epidemiology
    • Presentations: 1
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      P1.22-011 - Assessment of the accuracy and reliability of health related behavioural data obtained from patient-reported surveys (PRS) compared with electronic patient records (EPR) in lung cancer patient population (ID 2948)

      09:30 - 09:30  |  Author(s): O. Espin-Garcia

      • Abstract

      Background
      Cigarette smoking, alcohol consumption and presence of co morbidities are important factors that affect health status and mortality in patients diagnosed with lung cancer. While the gold standard for presence or absence of co-morbidities is EPR, the gold standard for obtaining accurate data pertaining to health-related behaviours is by PRS. The purpose of this study is to ascertain, whether in the absence of patient self-reported data, health related behavioural data pertaining to cigarette smoking and alcohol consumption abstracted from EPR provides an accurate and reliable surrogate.

      Methods
      731 lung cancer patients completed a PRS pertaining to information on their lifetime tobacco use, alcohol consumption and whether or not they had been diagnosed with certain co-morbid conditions. Relevant smoking, alcohol consumption and co-morbidity data was collected independently from EPR. Kappa coefficient analysis was used to assess the agreement.

      Results
      Results can be seen in Table 1. Ever/never status for smoking showed almost perfect agreement (k=0.95) between PRS and EPR and surpassed all other health behavioural measures and all co-morbidity agreement values. The calculation of pack-years from EPR and PRS showed substantial agreement (k=0.77); However, categorizing the smoking status into current/ former / never, resulted in only moderate agreement (k=0.47). Alcohol ever/ never status agreement was moderate (0.44) with high sensitivity (0.90) but low specificity (0.50). The lung related co-morbidities like emphysema (k=0.41) and chronic bronchitis (k=0.28) showed fair agreement but with substantial missing data through EPR.

      Table 1
      Health Behaviour N Missing Data in EPR Agreement (k) 95% CI (P value) Se Sp
      Smoking (E/N) 709 0 0.95 (0.79, 0.89) 0.995 0.94
      Smoking (Pkyrs)* 606 81(11%) 0.77 P<0.0001
      Smoking (C/F/N)** 705 4(0.5%) 0.47 (0.41, 0.51)
      Alcohol (E/N) 575 150(20.5%) 0.44 (0.36, 0.52) 0.9 0.5
      Comorbidity
      Emphysema 589 126(17.2%) 0.41 (0.33, 0.49) 0.41 0.95
      Chronic Bronchitis 601 94(12.8%) 0.28 (0.19, 0.37) 0.39 0.88
      *Spearman correlation coefficient
      **Weighted kappa

      Conclusion
      In the absence of PRS data, EPR provides a reliable surrogate for ever/ never smoking status and moderately reliable for lifetime smoking exposure in this lung cancer population. However current/ former/ never smoking status and ever/ never alcohol status cannot be reliably ascertained from medical records. Missing EPR data related to smoking pack years, alcohol consumption and lung co-morbidities is concerning and suggests more systematic or synoptic reporting by physicians would improve opportunities for research