Selected article for: "outbreak peak time and peak time"

Author: Juanjuan, Li; Santa-Maria, Cesar Augusto; Hongfang, Feng; Lingcheng, Wang; Pengcheng, Zhang; Yuangbing, Xu; Yuyan, Tan; Zhongchun, Liu; Bo, Du; Meng, Lan; Qingfeng, Yang; Feng, Yao; Yi, Tu; Shengrong, Sun; Xingrui, Li; Chuang, Chen
Title: Patient reported outcomes of breast cancer patients during the COVID-19 outbreak in the epicenter of China: A cross sectional survey study
  • Cord-id: gucnce1f
  • Document date: 2020_6_7
  • ID: gucnce1f
    Snippet: PURPOSE: We aimed to analyze the psychological status in breast cancer (BC) patients in the epicenter of the COVID-19 pandemic. PATIENTS AND METHODS: A total of 658 individuals were recruited from multiple breast cancer centers in Hubei Province. Online questionnaires were conducted, and included demographic information, clinical features, and four Patient Reported Outcomes (PROs) scales (GAP-7, PHQ-9, ISI, and IES-R). Multivariable logistic regression analysis was designed to identify potential
    Document: PURPOSE: We aimed to analyze the psychological status in breast cancer (BC) patients in the epicenter of the COVID-19 pandemic. PATIENTS AND METHODS: A total of 658 individuals were recruited from multiple breast cancer centers in Hubei Province. Online questionnaires were conducted, and included demographic information, clinical features, and four Patient Reported Outcomes (PROs) scales (GAP-7, PHQ-9, ISI, and IES-R). Multivariable logistic regression analysis was designed to identify potential factors on mental health outcomes. RESULTS: Questionnaires were collected from February 16 to 19, 2020, the peak time point of COVID-19 outbreak in China. 46.2% BC patients had to modify planned necessary anti-cancer treatment during the outbreak. 8.9% and 9.3% patients reported severe anxiety and severe depression, respectively. 20.8% and 4.0% patients showed severe distress and insomnia, respectively. Multivariable logistic regression analysis demonstrated poor general condition, shorter duration after BC diagnosis, aggressive BC molecular subtypes and close contact with COVID-19 patients as independent factors associated with anxiety. Poor general condition and CVC (central venous catheter) flushing delay were independently association factors 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. CONCLUSION: High rates of anxiety, depression, distress, and insomnia were observed in patients with breast cancer during the COVID-19 outbreak. Special attention should be paid to psychological status of breast cancer patients especially those with poor general condition, treatment discontinuation, aggressive molecular subtypes and metastatic breast cancer.

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