Patient-reported Outcomes of Patients With Breast Cancer During the COVID-19 Outbreak in the Epicenter of China: A Cross-sectional Survey Study.


Journal

Clinical breast cancer
ISSN: 1938-0666
Titre abrégé: Clin Breast Cancer
Pays: United States
ID NLM: 100898731

Informations de publication

Date de publication:
10 2020
Historique:
received: 06 04 2020
revised: 13 05 2020
accepted: 03 06 2020
pubmed: 28 7 2020
medline: 21 10 2020
entrez: 26 7 2020
Statut: ppublish

Résumé

We aimed to analyze the psychological status in patients with breast cancer (BC) in the epicenter of the coronavirus disease 2019 (COVID-19) pandemic. A total of 658 individuals were recruited from multiple BC centers in Hubei Province. Online questionnaires were conducted, and these included demographic information, clinical features, and 4 patient-reported outcome scales (Generalized Anxiety Disorder Questionnaire [GAD-7], Patient Health Questionnaire [PHQ-9], Insomnia Severity Index [ISI], and Impact of Events Scale-Revised [IES-R]). Multivariable logistic regression analysis was designed to identify potential factors on mental health outcomes. Questionnaires were collected from February 16, 2020 to February 19, 2020, the peak time point of the COVID-19 outbreak in China. Of patients with BC, 46.2% had to modify planned necessary anti-cancer treatment during the outbreak. Severe anxiety and severe depression were reported by 8.9% and 9.3% of patients, respectively. Severe distress and insomnia were reported by 20.8% and 4.0% of patients, respectively. Multivariable logistic regression analysis demonstrated poor general condition, shorter duration after BC diagnosis, aggressive BC molecular subtypes, and close contact with patients with COVID-19 as independent factors associated with anxiety. Poor general condition and central venous catheter flushing delay were factors that were independently associated with depression. In terms of insomnia, poor generation condition was the only associated independent factor. Poor physical condition and treatment discontinuation were underlying risk factors for distress based on multivariable analysis. High rates of anxiety, depression, distress, and insomnia were observed in patients with BC during the COVID-19 outbreak. Special attention should be paid to the psychological status of patients with BC, especially those with poor general condition, treatment discontinuation, aggressive molecular subtypes, and metastatic BC.

Identifiants

pubmed: 32709505
pii: S1526-8209(20)30147-6
doi: 10.1016/j.clbc.2020.06.003
pmc: PMC7275993
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e651-e662

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

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Auteurs

Li Juanjuan (L)

Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Cesar Augusto Santa-Maria (CA)

Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD.

Feng Hongfang (F)

Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital of Edong Healthcare Group, Hubei Polytechnic University, Huangshi, Hubei, PR China.

Wang Lingcheng (W)

Department of Thyroid and Breast and Vascular Surgery, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, PR China.

Zhang Pengcheng (Z)

Department of Breast Thyroid Surgery, Xiangyang No.1 People's Hospital of Hubei University of Medicine, Xiangyang, Hubei, PR China.

Xu Yuanbing (X)

Department of Thyroid Breast Surgery, Xiaogan Hospital Affiliated to Wuhan University of Science and Technology, Xiaogan, Hubei, PR China.

Tan Yuyan (T)

Department of Thyroid and Breast Surgery, Yichang Central People's Hospital, Yichang, Hubei, PR China.

Liu Zhongchun (L)

Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Du Bo (D)

School of Computer Science, Wuhan University, Wuhan, Hubei, PR China; School of Computer Science, and Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, PR China.

Lan Meng (L)

School of Computer Science, Wuhan University, Wuhan, Hubei, PR China; School of Computer Science, and Institute of Artificial Intelligence, Wuhan University, Wuhan, Hubei, PR China.

Yang Qingfeng (Y)

Department of Breast Disease, East Campus of Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Yao Feng (Y)

Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Tu Yi (T)

Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Sun Shengrong (S)

Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China.

Li Xingrui (L)

Department of Breast and Thyroid Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, PR China. Electronic address: lixingrui07@126.com.

Chen Chuang (C)

Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, PR China. Electronic address: chenc2469@163.com.

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