tetano
Editor, Senior Moderator
Epidemiol Infect
. 2024 Dec 11:152:e167.
doi: 10.1017/S0950268824001638. Development of a nomogram for high antibody titre of COVID-19 convalescent plasma
Shichun Wang[SUP] 1 [/SUP], Jie Yan[SUP] 1 [/SUP], Min Song[SUP] 1 [/SUP], Zhenrui Xue[SUP] 1 [/SUP], Zerong Wang[SUP] 1 [/SUP], Ronghua Diao[SUP] 1 [/SUP], Qi Liu[SUP] 1 [/SUP], Qianying Ruan[SUP] 1 [/SUP], Chunyan Yao[SUP] 1 2 [/SUP]
Affiliations
This study aimed to develop a predictive tool for identifying individuals with high antibody titers crucial for recruiting COVID-19 convalescent plasma (CCP) donors and to assess the quality and storage changes of CCP. A convenience sample of 110 plasma donors was recruited, of which 75 met the study criteria. Using univariate logistic regression and random forest, 6 significant factors were identified, leading to the development of a nomogram. Receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) evaluated the nomogram's discrimination, calibration, and clinical utility. The nomogram indicated that females aged 18 to 26, blood type O, receiving 1 to 2 COVID-19 vaccine doses, experiencing 2 symptoms during infection, and donating plasma 41 to 150 days after symptom onset had higher likelihoods of high antibody titres. Nomogram's AUC was 0.853 with good calibration. DCA showed clinical benefit within 9% ~ 90% thresholds. CCP quality was qualified, with stable antibody titres over 6 months (P > 0.05). These findings highlight developing predictive tools to identify suitable CCP donors and emphasize the stability of CCP quality over time, suggesting its potential for long-term storage.
Keywords: COVID-19 convalescent plasma; SARS-CoV-2 IgG; nomogram plasma donation; predictive factors.
. 2024 Dec 11:152:e167.
doi: 10.1017/S0950268824001638. Development of a nomogram for high antibody titre of COVID-19 convalescent plasma
Shichun Wang[SUP] 1 [/SUP], Jie Yan[SUP] 1 [/SUP], Min Song[SUP] 1 [/SUP], Zhenrui Xue[SUP] 1 [/SUP], Zerong Wang[SUP] 1 [/SUP], Ronghua Diao[SUP] 1 [/SUP], Qi Liu[SUP] 1 [/SUP], Qianying Ruan[SUP] 1 [/SUP], Chunyan Yao[SUP] 1 2 [/SUP]
Affiliations
- PMID: 39659202
- DOI: 10.1017/S0950268824001638
This study aimed to develop a predictive tool for identifying individuals with high antibody titers crucial for recruiting COVID-19 convalescent plasma (CCP) donors and to assess the quality and storage changes of CCP. A convenience sample of 110 plasma donors was recruited, of which 75 met the study criteria. Using univariate logistic regression and random forest, 6 significant factors were identified, leading to the development of a nomogram. Receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) evaluated the nomogram's discrimination, calibration, and clinical utility. The nomogram indicated that females aged 18 to 26, blood type O, receiving 1 to 2 COVID-19 vaccine doses, experiencing 2 symptoms during infection, and donating plasma 41 to 150 days after symptom onset had higher likelihoods of high antibody titres. Nomogram's AUC was 0.853 with good calibration. DCA showed clinical benefit within 9% ~ 90% thresholds. CCP quality was qualified, with stable antibody titres over 6 months (P > 0.05). These findings highlight developing predictive tools to identify suitable CCP donors and emphasize the stability of CCP quality over time, suggesting its potential for long-term storage.
Keywords: COVID-19 convalescent plasma; SARS-CoV-2 IgG; nomogram plasma donation; predictive factors.