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Recurrence of SARS-CoV-2 PCR positivity in COVID-19 patients: a single center experience and potential implications
Jia Huang; Le Zheng; Zhen Li; Shiying Hao; Fangfan Ye; Jun Chen; Xiaoming Yao; Jiayu Liao; Song Wang; Manfei Zeng; Liping Qiu; Fanlan Cen; Yajing Huang; Tengfei Zhu; Zehui Xu; Manhua Ye; Yang Yang; Guowei Wang; Jinxiu Li; Lifei Wang; Jiuxin Qu; Jing Yuan; Wei Zheng; Zheng Zhang; Chunyang Li; John C Whitin; Lu Tian; Henry Chubb; KuoYuan Hwa; Hayley A Gans; Scott R Ceresnak; Wei Zhang; Ying Lu; Yvonne A Maldonado; Harvey J Cohen; Doff B McElhinney; Karl G Sylvester; Qing He; Zhaoqin Wang; Yingxia Liu; Lei Liu; Xuefeng B Ling.
Afiliação
  • Jia Huang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Le Zheng; Stanford University School of Medicine
  • Zhen Li; Stanford University School of Medicine
  • Shiying Hao; Stanford University School of Medicine
  • Fangfan Ye; The Second Affiliated Hospital of Southern University of Science and Technology
  • Jun Chen; The Second Affiliated Hospital of Southern University of Science and Technology
  • Xiaoming Yao; West China Hospital of Sichuan University
  • Jiayu Liao; University of California at Riverside
  • Song Wang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Manfei Zeng; The Second Affiliated Hospital of Southern University of Science and Technology
  • Liping Qiu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Fanlan Cen; The Second Affiliated Hospital of Southern University of Science and Technology
  • Yajing Huang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Tengfei Zhu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Zehui Xu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Manhua Ye; The Second Affiliated Hospital of Southern University of Science and Technology
  • Yang Yang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Guowei Wang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Jinxiu Li; The Second Affiliated Hospital of Southern University of Science and Technology
  • Lifei Wang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Jiuxin Qu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Jing Yuan; The Second Affiliated Hospital of Southern University of Science and Technology
  • Wei Zheng; The Second Affiliated Hospital of Southern University of Science and Technology
  • Zheng Zhang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Chunyang Li; The Second Affiliated Hospital of Southern University of Science and Technology
  • John C Whitin; Stanford University School of Medicine
  • Lu Tian; Stanford University School of Medicine
  • Henry Chubb; Stanford University School of Medicine
  • KuoYuan Hwa; The University of Hong Kong
  • Hayley A Gans; Stanford University School of Medicine
  • Scott R Ceresnak; Stanford University School of Medicine
  • Wei Zhang; West China Hospital of Sichuan University
  • Ying Lu; Stanford University School of Medicine
  • Yvonne A Maldonado; Stanford University School of Medicine
  • Harvey J Cohen; Stanford University School of Medicine
  • Doff B McElhinney; Stanford University School of Medicine
  • Karl G Sylvester; Stanford University School of Medicine
  • Qing He; The Second Affiliated Hospital of Southern University of Science and Technology
  • Zhaoqin Wang; The Second Affiliated Hospital of Southern University of Science and Technology
  • Yingxia Liu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Lei Liu; The Second Affiliated Hospital of Southern University of Science and Technology
  • Xuefeng B Ling; Stanford University School of Medicine
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20089573
ABSTRACT
IMPORTANCEHow to appropriately care for patients who become PCR-negative for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still not known. Patients who have recovered from coronavirus disease 2019 (COVID-19) could profoundly impact the health care system if a subset were to be PCR-positive again with reactivated SARS-CoV-2. OBJECTIVETo characterize a single center COVID-19 cohort with and without recurrence of PCR positivity, and develop an algorithm to identify patients at high risk of retest positivity after discharge to inform health care policy and case management decision-making. DESIGN, SETTING, AND PARTICIPANTSA cohort of 414 patients with confirmed SARS-CoV-2 infection, at The Second Affiliated Hospital of Southern University of Science and Technology in Shenzhen, China from January 11 to April 23, 2020. EXPOSURESPolymerase chain reaction (PCR) and IgM-IgG antibody confirmed SARS-CoV-2 infection. MAIN OUTCOMES AND MEASURESUnivariable and multivariable statistical analysis of the clinical, laboratory, radiologic image, medical treatment, and clinical course of admission/quarantine/readmission data to develop an algorithm to predict patients at risk of recurrence of PCR positivity. RESULTS16.7% (95CI 13.0%-20.3%) patients retest PCR positive 1 to 3 times after discharge, despite being in strict quarantine. The driving factors in the recurrence prediction model included age, BMI; lowest levels of the blood laboratory tests during hospitalization for cholinesterase, fibrinogen, albumin, prealbumin, calcium, eGFR, creatinine; highest levels of the blood laboratory tests during hospitalization for total bilirubin, lactate dehydrogenase, alkaline phosphatase; the first test results during hospitalization for partial pressure of oxygen, white blood cell and lymphocyte counts, blood procalcitonin; and the first test episodic Ct value and the lowest Ct value of the nasopharyngeal swab RT PCR results. Area under the ROC curve is 0.786. CONCLUSIONS AND RELEVANCEThis case series provides clinical characteristics of COVID-19 patients with recurrent PCR positivity, despite strict quarantine, at a 16.7% rate. Use of a recurrence prediction algorithm may identify patients at high risk of PCR retest positivity of SARS-CoV-2 and help modify COVID-19 case management and health policy approaches. Key PointsO_ST_ABSQuestionC_ST_ABSWhat are the characteristics, clinical presentations, and outcomes of COVID-19 patients with PCR retest positivity after resolution of the initial infection and consecutive negative tests? Can we identify recovered patients, prior to discharge, at risk of the recurrence of SARS-CoV-2 PCR positivity? FindingsIn this series of 414 COVID-19 inpatients discharged to a designated quarantine center, 69 retest positive (13 with 2 readmissions, and 3 with 3 readmissions). A multivariable model was developed to predict the risk of the recurrence of SARS-CoV-2 PCR positivity. MeaningRate and timing of the recurrence of PCR positivity following strict quarantine were characterized. Our prediction algorithm may have implications for COVID-19 clinical treatment, patient management, and health policy.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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