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Raquel Gómez-Bravo



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    EP1.16 - Treatment in the Real World - Support, Survivorship, Systems Research (ID 206)

    • Event: WCLC 2019
    • Type: E-Poster Viewing in the Exhibit Hall
    • Track: Treatment in the Real World - Support, Survivorship, Systems Research
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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      EP1.16-28 - ALK Translocated Patients: Survival in an Unselected Population (ID 1426)

      08:00 - 18:00  |  Author(s): Raquel Gómez-Bravo

      • Abstract
      • Slides

      Background

      Lung cancer is the leading cause of death from cancer in our environment. About 5% have ALK translocation, which is more frequent in young, Asian women and non-smoking patients. In the last years, multiple treatments have been developed for patients with ALK translocation, improving prognosis and reaching overall survivals (OS) of more than two years.

      Method

      A cohort of 34 patients diagnosed of non-small cell lung cancer with ALK translocation were retrospectively analyzed in our center between 2008-2018. Baseline demographics characteristics were described. OS was calculated as the main objective.

      Result

      Patients were followed a median of 47 months (IQR 30-203). Median age was 59 years (IQR 36-83), being 47% male and 53% female. 44% were never smokers and 58% had any comorbidities. At diagnosis, 83% were symptomatic and the most frequent metastases were bone ones (32%).

      Complete baseline characteristics are shown in Table 1.

      Median OS was 32 months (IQR 15-78). 1-year, 2-year and 3- year survival was 75%, 69% 49.9% respectively. Kaplan-Meier curve is shown in Figure 1.

      Conclusion

      The ALK translocation and targeted treatments have led to a dramatic improvement in overall survival in clinical trials confirmed in our series.

      table 1.png

      figure 1 19.25.54.png

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    P1.16 - Treatment in the Real World - Support, Survivorship, Systems Research (ID 186)

    • Event: WCLC 2019
    • Type: Poster Viewing in the Exhibit Hall
    • Track: Treatment in the Real World - Support, Survivorship, Systems Research
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/08/2019, 09:45 - 18:00, Exhibit Hall
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      P1.16-12 - An Analysis of Healthcare Use and the Cost Associated to End-of-Life Care of Lung Cancer Patients in a Spanish Hospital (Now Available) (ID 896)

      09:45 - 18:00  |  Author(s): Raquel Gómez-Bravo

      • Abstract
      • Slides

      Background

      Despite various studies have demonstrated that the consumption of healthcare services by cancer patients, and therefore healthcare costs, increases during the end-of-life period, there are insufficient studies which focus specifically on lung cancer. Thus we aim to study the consumption of healthcare services and its cost in end-of-life lung cancer patients attended in the Puerta de Hierro University Hospital, Spain.

      Method

      The Cross Industry Standard Process for Data Mining (CRISP-DM) was applied to integrate and analyze activity data extracted from the Electronic Patient Record (EPR) and clinical data of lung cancer patients from a previous study. A cohort of 224 deceased patients, diagnosed between 01/01/2009 and 31/12/2016, was analyzed to determine the use of healthcare services together with the time-related distribution of such use and associated cost during the end-of-life period.

      Result

      Overall, 82% of the patients received outpatient care, 68% received emergency service care, 53% experienced some period of hospitalization during the last 30 days of their life, and 38% of the patients died during hospitalization. The cost of hospitalization amounted to 88% of the total (excluding the cost of outpatient administered medication and radiotherapy treatment), with the cost of emergency services and consultations being 2.3% and 9.6%, respectively. In total, 58% of the healthcare assistance cost occurred during the last 6 months of life, and 21% in the last 30 days. The costs during the last 30 days represented 36% of the cost during the last 6 months.

      table1.jpgfigure1.jpg

      Conclusion

      Integrating activity data from EPR and clinical structured data from lung cancer patients and applying CRISP-DM has allowed us to describe end-of-life healthcare which could be used to plan resources and improve the quality of care in these patients.

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