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Recommendations for standardized management of CML patients in the core epidemic area of COVID-19(Multi-center survey results in Hubei Province, China)
Dan-Yu Wang; Jing-Ming Guo; Zhuang-Zhi Yang; Yong You; Zhi-Chao Chen; Shi-Ming Chen; Hui Cheng; You-Shan Zhang; Dao-Zi Jiang; Xue-Lan Zuo; Xiao-Jian Zhu; Jun Huang; Hong-Xiang Wang; Qing Li; Qing Wu; Zhi-Ping Huang; Qi-Huan Liu; Ying Bao; Da-Lin Zhang; Xin-Hua Zhang; Zhe Zhao; Ren-Ying Ge; Jie Du; Ya-Ping Wang; Hong-Bo Ren; Hong Han; Yun-Hui Wei; Hang Xiang; Chu-Cheng Wan; You-Fang Zhao; Bin Chen; Guo-Lin Yuan; Li Meng; Wei-Ming Li.
Afiliação
  • Dan-Yu Wang; Huazhong University of Science and Technology Union Shenzhen Hospital
  • Jing-Ming Guo; Yi Chang Central People's Hospital, The First College of Clinical Medical Science, China Three Gorges University
  • Zhuang-Zhi Yang; Suizhou Central Hospital
  • Yong You; Union hospital, Tongji Medical college, Huazhong University of science and Technology
  • Zhi-Chao Chen; Union hospital, Tongji Medical college, Huazhong University of science and Technology
  • Shi-Ming Chen; HuangShi Central Hospital
  • Hui Cheng; Wuhan NO.1 Hospital
  • You-Shan Zhang; The first people hospital of JingZhou
  • Dao-Zi Jiang; Renmin Hospital of Wuhan University
  • Xue-Lan Zuo; Zhongnan Hospital of Wuhan University
  • Xiao-Jian Zhu; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
  • Jun Huang; The first people's Hospital of Xiaogan City
  • Hong-Xiang Wang; Wuhan Central Hospital
  • Qing Li; Wuhan NO.1 Hospital
  • Qing Wu; The Fifth Hospital,Wuhan Hubei
  • Zhi-Ping Huang; Jingzhou Central Hospital
  • Qi-Huan Liu; Affiliated Dongfeng Hospital, Hubei University of Medicine
  • Ying Bao; Xiangyang No. 1 People's Hospital, Hubei University of Medicine
  • Da-Lin Zhang; Tianmen First People's Hospital
  • Xin-Hua Zhang; The general Hospital of Central Theater Command
  • Zhe Zhao; Minda Hospital of Hubei Minzu University
  • Ren-Ying Ge; Xian Ning Center Hospital
  • Jie Du; XianTao First People's Hospital
  • Ya-Ping Wang; Wuhan Fifth Hospital
  • Hong-Bo Ren; The First People's Hospital of Jingzhou
  • Hong Han; Liyuan Hospital of TongJi medical college, Huazhong university of science and technology
  • Yun-Hui Wei; XiangZhou Hospital
  • Hang Xiang; Enshi Central Hospital
  • Chu-Cheng Wan; Affiliated Taihe Hospital of Hubei University of Medicine
  • You-Fang Zhao; Gezhouba Central Hospital
  • Bin Chen; Hubei provincial Hospital of TCM
  • Guo-Lin Yuan; Xiangyang Central Hospital, The Affiliated Hospital of Hubei University of Arts and Science
  • Li Meng; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
  • Wei-Ming Li; Union hospital, Tongji Medical college, Huazhong University of science and Technology
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20034876
ABSTRACT
BackgroundSince late December 2019, the outbreak of the novel coronavirus disease, COVID-19, that began in Wuhan, has become endemic in China and more than 100 countries and regions in the world. So far, there is rare data on the prevalence of COVID-19 in patients with chronic myelogenous leukemia (CML). We aimed to describe the clinical course, outcomes of CML patients with COVID-19 and prevalence of COVID-19 in CML patients. MethodsIn this multicentre, cross-sectional survey, the clinical data of CML patients with COVID-19 in each center were collected. Simultaneously, an online survey was conducted for information about the CML patients under the management at each center by asking the CML patients to complete a questionnaire,from February 15, 2020 to February 21, 2020. The questionnaire includes demographic data, place of residence, smoking status, CML diagnosis and treatment, comorbidities, combined medications, epidemiological history, symptoms(fever, cough, shortness of breath, etc) during the epidemic. Additional clinical data was collected on respondents suspected or confirmed to have COVID-19. We described and analyzed the prevalence of COVID-19 in CML patients, and focus on the clinical characteristics and outcomes of COVID-19 patients. Data were compared between the CML patients with optimal response and those with non-optimal response. The primary outcome was prevalence of COVID-19 in CML patients, as of Feb 21, 2020. Secondary outcomes included the history of epidemiology of CML patients, the clinical characteristics and outcomes of CML patients with COVID-19. FindingsOf 392 respondents, 223(56.9%) were males, and 240(61.2%) were 50 years or younger. Only 10 patients took drugs irregularly due to the influence of the epidemic because of traffic control, pharmacies unable to operate normally, etc. In the history of epidemiology, there were 4 patients with definite contact with COVID-19, of which 3 were remote contact and 1 was close contact. 12 respondents had fever, cough or shortness of breath during the epidemic, 1 case (common type) was confirmed with COVID-19 and cured after treatment. 1 patient was clinically diagnosed and succumbed. 1 of 299 (0.3%) patients with an optimal response was diagnosed with COVID-19. Of the 50 patients who failed to respond to CML treatment or had a poor response, 1 patient (2%) had a clinical diagnosis of COVID-19. InterpretationWhile the 392 CML respondents required regular referrals to hospitals, they did not have much contact with COVID-19 patients during the outbreak. Patients who failed to achieved an optimal response to CML therapy appear more likely to have a symptomatic infection with SARS-CoV-2. Older patients with comorbidities are at increased risk of death. FundingThis work was supported by grants from the National Natural Science Foundation of China(NSFC)(81873440&81700142).
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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