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R. Genzler



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    MA 08 - Supportive Care and Communication (ID 669)

    • Event: WCLC 2017
    • Type: Mini Oral
    • Track: Nursing/Palliative Care/Ethics
    • Presentations: 1
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      MA 08.11 - Do Patients Treated with Chemotherapy for Advanced NSCLC Regret Having Received Treatment? A Prospective Evaluation in 164 Patients (ID 10241)

      12:10 - 12:15  |  Author(s): R. Genzler

      • Abstract
      • Presentation
      • Slides

      Background:
      While many thousands of patients per year receive chemotherapy for advanced NSCLC with first-line or subsequent chemotherapy, little is known about patients’ views on their decision to receive that treatment. In that median survival results generally do not exceed one year, there are many potential risks for regret. Given the highly symptomatic nature of NSCLC coupled with patient, family and oncologist desires to decide rapidly on treatment, many challenges exist affecting quality decision making for patients and their supporters facing treatment. Among 59 studies dealing with regret in a recent systematic review (Becerra Perez 2016), none analyzed patients with lung cancer (66% of studies were in oncology). A clinical profile of the extent of regret, and factors contributing to that regret is lacking in those undergoing chemotherapy for lung cancer.

      Method:
      All patients were entered into a phase III, two-arm, prospective, randomized trial in patients receiving chemotherapy for lung cancer. Patients were randomly assigned to either usual care (UC), or enhanced care (EC) using the DecisionKEYS decision aid coupled with every 3 week PRO assessment using the electronic LCSS measure. All patients were offered the Decision Regret Scale (“DRS,” O’Connor 1999), at 11 weeks (+/- 2 weeks) after starting treatment. The DRS is a categorical scale with 5-items in 5 categories (ranging from “strongly disagree” to “strongly agree”). Patients completed assessment for decisional conflict; the patients’ supporters completed similar measures.

      Result:
      164 patients were entered, 160 received chemotherapy. Characteristics: 43% women; 92% Stage IV; 73% first-line therapy. Means: age 63; KPS 81. ECOG 1 = 56%; ECOG 2 = 42%. 46% represented minority groups. 22 different chemotherapy regimens were used. First-line patients received combination regimens with the majority being platinum-based with 2 or 3 drugs. 128 patients (80%) completed the DRS. Results combined the two top categories indicating the greatest extent of regret. Only 9 patients (7%) expressed regret as the maximum of the 5 DRS questions. 94% expressed that the decision for chemotherapy was a wise one. This low degree of regret did not differ by first-line or subsequent chemo or by EC versus UC groups.

      Conclusion:
      Patients receiving chemotherapy for advanced NSCLC, at 3 months after starting treatment, rarely (7%) have regret, and 98% expressed that they made the right decision. Other factors associated with the few patients with regret, such as decisional conflict or reduced quality of life, will also be presented. Support: NIH/NCI R01 CA-157409

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    P2.01 - Advanced NSCLC (ID 618)

    • Event: WCLC 2017
    • Type: Poster Session with Presenters Present
    • Track: Advanced NSCLC
    • Presentations: 1
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      P2.01-050 - Predicting Risk of Hospitalization in Patients with NSCLC Receiving Chemotherapy Using the LCSS 3-Item Global Index (3-IGI) (ID 10313)

      09:00 - 09:00  |  Author(s): R. Genzler

      • Abstract

      Background:
      A leading factor of poor treatment outcomes and cost in cancer care is hospitalization. If hospitalization risk can be accurately predicted, preventive interventions can be effectively used and treatment regimen selection may be able to be refined. Currently, oncologists do not routinely use laboratory, molecular, PRO or imaging data to predict risk of hospitalization or its prevention. Prior research demonstrated that the 3-IGI (quality of life, activities, distress) of the LCSS at baseline, predicts survival more accurately than performance status and requires only two minutes for administration.

      Method:
      The objective was to determine if the 3-IGI measured at baseline accurately predicts cancer-related or treatment toxicity-related hospitalization risk. PROs were prospectively evaluated in 164 patients receiving chemotherapy for advanced NSCLC using the LCSS 3-IGI, with electronic assistance (“eLCSS-QL”). Patients were followed for hospitalization over three months. Hospitalizations were characterized as cancer-related, or treatment toxicity-related.

      Result:
      Characteristics: 57% men; 92% Stage IV; 73% first-line therapy; mean age 63; ECOG 1/2: 56%/42%. 77 hospitalizations occurred among 53 (33%) patients. Patients were placed into 3-IGI groups based on scores at baseline by thirds (tertiles; mean 3-IGI = 188 with 0=worst, 300=best; 33[rd] percentile <162, and 67[th] percentile > 239). Baseline 3-IGI significantly predicted risk of cancer-related hospitalizations (p<0.0001), but not treatment toxicity-related hospitalizations (27%, p=0.69). The table outlines marked differences in hospitalizations associated with baseline 3-IGI groups.

      PERCENT OF HOSPITALIZATIONS BY 3-IGI GROUP AT BASELINE (p = 0.0001)
      TIME FROM BASELINE: LEAST-RISK GROUP MEDIUM-RISK GROUP HIGHEST-RISK GROUP
      30-DAYS 0% 18% 23%
      60-DAYS 10% 20% 39%
      90-DAYS 12% 27% (HR 2.7) 41% (HR 4.6)
      Additionally, in only those in the ECOG=1 group, the 3-IGI significantly identified cancer-related hospitalization risk (p=0.025).

      Conclusion:
      The 3-IGI of the LCSS significantly identifies risk of hospitalization in patients receiving chemotherapy for NSCLC, and is more accurate than ECOG PS. Interventions (including enhanced monitoring) focused on identifiable high risk groups is warranted to reduce hospitalization. These results may also help in appropriate regimen choice to reduce hospitalization. Such interventions could improve cancer care and reduce costs. Support: NIH/NCI R01 CA-157409