Acupuncture for Hot Flashes in Cancer Patients: Clinical Characteristics and Traditional Chinese Medicine Diagnosis as Predictors of Treatment Response

Wenli Liu, Aiham Qdaisat, Gabriel Lopez, Santhosshi Narayanan, Susan Underwood, Michael Spano, Akhila Reddy, Ying Guo, Shouhao Zhou, Sai Ching Yeung, Eduardo Bruera, M. Kay Garcia, Lorenzo Cohen

Research output: Contribution to journalArticle

Abstract

Background: Acupuncture is a recognized integrative modality for managing hot flashes. However, data regarding predictors for response to acupuncture in cancer patients experiencing hot flashes are limited. We explored associations between patient characteristics, including traditional Chinese medicine (TCM) diagnosis, and treatment response among cancer patients who received acupuncture for management of hot flashes. Methods: We reviewed acupuncture records of cancer outpatients with the primary reason for referral listed as hot flashes who were treated from March 2016 to April 2018. Treatment response was assessed using the hot flashes score within a modified Edmonton Symptom Assessment Scale (0-10 scale) administered immediately before and after each acupuncture treatment. Correlations between TCM diagnosis, individual patient characteristics, and treatment response were analyzed. Results: The final analysis included 558 acupuncture records (151 patients). The majority of patients were female (90%), and 66% had breast cancer. The median treatment response was a 25% reduction in the hot flashes score. The most frequent TCM diagnosis was qi stagnation (80%) followed by blood stagnation (57%). Older age (P =.018), patient self-reported anxiety level (P =.056), and presence of damp accumulation in TCM diagnosis (P =.047) were correlated with greater hot flashes score reduction. Conclusions: TCM diagnosis and other patient characteristics were predictors of treatment response to acupuncture for hot flashes in cancer patients. Future research is needed to further explore predictors that could help tailor acupuncture treatments for these patients.

Original languageEnglish (US)
JournalIntegrative Cancer Therapies
Volume18
DOIs
StatePublished - May 1 2019

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Hot Flashes
Chinese Traditional Medicine
Acupuncture
Neoplasms
Acupuncture Therapy
Therapeutics
Qi
Symptom Assessment
Outpatients
Referral and Consultation
Anxiety

All Science Journal Classification (ASJC) codes

  • Oncology
  • Complementary and alternative medicine

Cite this

Liu, Wenli ; Qdaisat, Aiham ; Lopez, Gabriel ; Narayanan, Santhosshi ; Underwood, Susan ; Spano, Michael ; Reddy, Akhila ; Guo, Ying ; Zhou, Shouhao ; Yeung, Sai Ching ; Bruera, Eduardo ; Garcia, M. Kay ; Cohen, Lorenzo. / Acupuncture for Hot Flashes in Cancer Patients : Clinical Characteristics and Traditional Chinese Medicine Diagnosis as Predictors of Treatment Response. In: Integrative Cancer Therapies. 2019 ; Vol. 18.
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abstract = "Background: Acupuncture is a recognized integrative modality for managing hot flashes. However, data regarding predictors for response to acupuncture in cancer patients experiencing hot flashes are limited. We explored associations between patient characteristics, including traditional Chinese medicine (TCM) diagnosis, and treatment response among cancer patients who received acupuncture for management of hot flashes. Methods: We reviewed acupuncture records of cancer outpatients with the primary reason for referral listed as hot flashes who were treated from March 2016 to April 2018. Treatment response was assessed using the hot flashes score within a modified Edmonton Symptom Assessment Scale (0-10 scale) administered immediately before and after each acupuncture treatment. Correlations between TCM diagnosis, individual patient characteristics, and treatment response were analyzed. Results: The final analysis included 558 acupuncture records (151 patients). The majority of patients were female (90{\%}), and 66{\%} had breast cancer. The median treatment response was a 25{\%} reduction in the hot flashes score. The most frequent TCM diagnosis was qi stagnation (80{\%}) followed by blood stagnation (57{\%}). Older age (P =.018), patient self-reported anxiety level (P =.056), and presence of damp accumulation in TCM diagnosis (P =.047) were correlated with greater hot flashes score reduction. Conclusions: TCM diagnosis and other patient characteristics were predictors of treatment response to acupuncture for hot flashes in cancer patients. Future research is needed to further explore predictors that could help tailor acupuncture treatments for these patients.",
author = "Wenli Liu and Aiham Qdaisat and Gabriel Lopez and Santhosshi Narayanan and Susan Underwood and Michael Spano and Akhila Reddy and Ying Guo and Shouhao Zhou and Yeung, {Sai Ching} and Eduardo Bruera and Garcia, {M. Kay} and Lorenzo Cohen",
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Acupuncture for Hot Flashes in Cancer Patients : Clinical Characteristics and Traditional Chinese Medicine Diagnosis as Predictors of Treatment Response. / Liu, Wenli; Qdaisat, Aiham; Lopez, Gabriel; Narayanan, Santhosshi; Underwood, Susan; Spano, Michael; Reddy, Akhila; Guo, Ying; Zhou, Shouhao; Yeung, Sai Ching; Bruera, Eduardo; Garcia, M. Kay; Cohen, Lorenzo.

In: Integrative Cancer Therapies, Vol. 18, 01.05.2019.

Research output: Contribution to journalArticle

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T1 - Acupuncture for Hot Flashes in Cancer Patients

T2 - Clinical Characteristics and Traditional Chinese Medicine Diagnosis as Predictors of Treatment Response

AU - Liu, Wenli

AU - Qdaisat, Aiham

AU - Lopez, Gabriel

AU - Narayanan, Santhosshi

AU - Underwood, Susan

AU - Spano, Michael

AU - Reddy, Akhila

AU - Guo, Ying

AU - Zhou, Shouhao

AU - Yeung, Sai Ching

AU - Bruera, Eduardo

AU - Garcia, M. Kay

AU - Cohen, Lorenzo

PY - 2019/5/1

Y1 - 2019/5/1

N2 - Background: Acupuncture is a recognized integrative modality for managing hot flashes. However, data regarding predictors for response to acupuncture in cancer patients experiencing hot flashes are limited. We explored associations between patient characteristics, including traditional Chinese medicine (TCM) diagnosis, and treatment response among cancer patients who received acupuncture for management of hot flashes. Methods: We reviewed acupuncture records of cancer outpatients with the primary reason for referral listed as hot flashes who were treated from March 2016 to April 2018. Treatment response was assessed using the hot flashes score within a modified Edmonton Symptom Assessment Scale (0-10 scale) administered immediately before and after each acupuncture treatment. Correlations between TCM diagnosis, individual patient characteristics, and treatment response were analyzed. Results: The final analysis included 558 acupuncture records (151 patients). The majority of patients were female (90%), and 66% had breast cancer. The median treatment response was a 25% reduction in the hot flashes score. The most frequent TCM diagnosis was qi stagnation (80%) followed by blood stagnation (57%). Older age (P =.018), patient self-reported anxiety level (P =.056), and presence of damp accumulation in TCM diagnosis (P =.047) were correlated with greater hot flashes score reduction. Conclusions: TCM diagnosis and other patient characteristics were predictors of treatment response to acupuncture for hot flashes in cancer patients. Future research is needed to further explore predictors that could help tailor acupuncture treatments for these patients.

AB - Background: Acupuncture is a recognized integrative modality for managing hot flashes. However, data regarding predictors for response to acupuncture in cancer patients experiencing hot flashes are limited. We explored associations between patient characteristics, including traditional Chinese medicine (TCM) diagnosis, and treatment response among cancer patients who received acupuncture for management of hot flashes. Methods: We reviewed acupuncture records of cancer outpatients with the primary reason for referral listed as hot flashes who were treated from March 2016 to April 2018. Treatment response was assessed using the hot flashes score within a modified Edmonton Symptom Assessment Scale (0-10 scale) administered immediately before and after each acupuncture treatment. Correlations between TCM diagnosis, individual patient characteristics, and treatment response were analyzed. Results: The final analysis included 558 acupuncture records (151 patients). The majority of patients were female (90%), and 66% had breast cancer. The median treatment response was a 25% reduction in the hot flashes score. The most frequent TCM diagnosis was qi stagnation (80%) followed by blood stagnation (57%). Older age (P =.018), patient self-reported anxiety level (P =.056), and presence of damp accumulation in TCM diagnosis (P =.047) were correlated with greater hot flashes score reduction. Conclusions: TCM diagnosis and other patient characteristics were predictors of treatment response to acupuncture for hot flashes in cancer patients. Future research is needed to further explore predictors that could help tailor acupuncture treatments for these patients.

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