Cancer Medicine (Mar 2023)

The feasibility and effects of a pharmacological treatment algorithm for cancer patients with terminal dyspnea: A multicenter cohort study

  • Masanori Mori,
  • Takashi Yamaguchi,
  • Kozue Suzuki,
  • Yoshinobu Matsuda,
  • Ryo Matsunuma,
  • Hiroaki Watanabe,
  • Tomoo Ikari,
  • Yoshihisa Matsumoto,
  • Kengo Imai,
  • Naosuke Yokomichi,
  • Satoru Miwa,
  • Toshihiro Yamauchi,
  • Soichiro Okamoto,
  • Satoshi Inoue,
  • Akira Inoue,
  • Tatsuya Morita,
  • Eriko Satomi,
  • the Japanese Dyspnea Relief Investigators

DOI
https://doi.org/10.1002/cam4.5362
Journal volume & issue
Vol. 12, no. 5
pp. 5397 – 5408

Abstract

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Abstract Background How clinicians treat patients with terminal dyspnea widely varies, which could hamper quality care. We visualized comprehensive pharmacological treatment delivered by palliative care physicians. Aim To examine adherence to a comprehensive pharmacological treatment algorithm for patients with terminal dyspnea, and to explore its outcomes during 48 h. Design A multicenter cohort study at five sites (February 2020 to June 2021). Setting/Participants We prospectively enrolled consecutive patients with advanced cancer, Eastern Cooperative Oncology Group performance status 3–4, and moderate/severe dyspnea. Participating palliative care physicians initiated algorithm‐based treatment. The primary outcome was the proportion of adherence to the treatment algorithm over 24 h (predefined goal, 70%). We evaluated the adherence, goal achievement, and dyspnea level with a numerical rating scale (NRS), as well as adverse events over 48 h. Results All 108 patients received algorithm‐based pharmacological treatment. Among 96 and 87 patients who were alive at 24 and 48 h, respectively, 96 (100%; 95% confidence interval [CI] = 96%–100%) and 82 (94%; 95%CI = 87%–98%) continued to receive the algorithm treatment, respectively, and 66 (69%; 95%CI = 59%–77%) and 64 (74%; 95%CI = 63%–82%) achieved the treatment goals, respectively. Using a complete case analysis with paired t‐tests, mean dyspnea NRS scores significantly reduced from 7.3 (standard error, 0.2) at the baseline to 4.9 (0.3) at 24 h (n = 72; p < 0.001), and 7.2 (0.3) at the baseline to 4.6 (0.4) at 48 h (n = 55; p < 0.001). Most adverse events were mild to moderate. Conclusions The comprehensive pharmacological treatment algorithm was feasible, and the study data supports its preliminary efficacy and safety. The use of this algorithm may help clinicians improve care for patients with terminal dyspnea.

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