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Evaluation of the cycle threshold values of RT-PCR for SARS-CoV-2 in COVID-19 patients in predicting epidemic dynamics and monitoring surface contamination.
Chen, Yu-Yan; Shen, Xu; Wang, Yong-Jing; Xie, Jia-Wen; Fang, Zan-Xi; Lin, Li-Rong; Yang, Tian-Ci.
  • Chen YY; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China.
  • Shen X; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China; Department of Hospital Infection Management, Zhongshan Hospital of Xiamen University, S
  • Wang YJ; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China.
  • Xie JW; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China; Xiamen Medical College, Xiamen, China.
  • Fang ZX; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China; Xiamen Medical College, Xiamen, China.
  • Lin LR; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China; Xiamen Medical College, Xiamen, China. Electronic address: linlirong@xmu.edu.cn.
  • Yang TC; Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China. Electronic address: yangtianci@xmu.edu.cn.
J Infect Public Health ; 15(12): 1494-1496, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2120008
ABSTRACT
To evaluate the application of cycle threshold (Ct) values of coronavirus disease 2019 (COVID-19) patients in predicting epidemic dynamics and monitoring surface contamination. The Ct value of reverse transcriptase-polymerase chain reaction for SARS­CoV-2 from COVID-19 patients inbound overseas in Xiamen, China was collected from October 2020 to December 2021, and the correlation of patients' Ct values with epidemic dynamics and surface contamination was evaluated. The results showed that there was an extreme inverse correlation of positivity rate in the current calendar month (ORF1ab, r = -0.692, P = 0.004; N,r = -0.629, P = 0.012) and the following calendar month (ORF1ab,r = -0.801, P = 0.001; N,r = -0.620, P = 0.018) with the median Ct values. Ct value showed better performance for monitoring surface contamination, with the area under the curve value 0.808(95 %CI 0.748-0.869) for ORF1ab and 0.807(95 %CI0.746-0.868) for the N gene. The patients' ORF1ab Ct value< 29.09 or N Ct value< 28.03 were 11.25 times and 10.48 times more likely to result in surface contamination than those with ORF1ab Ct value ≥ 29.09 or N Ct value≥ 28.03 (OR11.25,95 % CI 5.52-22.35; OR10.48,95 % CI5.29-20.70). Ct values were associated with the positivity rate in the current or following calendar month and predicted the epidemic dynamics. The Ct values can be used as a predictor for monitoring surface contamination to develop public health responses to COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2022 Document Type: Article Affiliation country: J.jiph.2022.11.012

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2022 Document Type: Article Affiliation country: J.jiph.2022.11.012