Back

Potential applications of the rapid COVID-19 antibody test kit screening in comparison to the RT-PCR in patients and personnel at the Department of Obstetrics and Gynecology.

Narkwichean, A.; Jomoui, W.; Laosooksathit, W.; Nopsopon, T.; Pongpirul, K.

2021-07-20 obstetrics and gynecology
10.1101/2021.07.16.21259725 medRxiv
Show abstract

ObjectiveTo explore potential applications of the rapid antibody test for COVID-19 screening, in comparison to RT-PCR, for emergency obstetric and gynecological procedures, and medical personnel in the Department of Obstetrics and Gynecology. MethodsA cross-sectional study was conducted in expected 290 participants: 230 patients and 60 medical staff, during the four-month national COVID-19 outbreak period (Aug - Sep 2020, and Dec 2020 - Jan 2021). All participants underwent both rapid antibody tests and RT-PCR (at admission for patients). ResultsA total of 270 participants completed the study. Fever and URI symptoms were present in 6/210 patients (2.8%) while one patient (0.5%) had a history of traveling to a high-risk area. However, only two (1%) asymptomatic patients had positive IgM results. Concerning the medical personnel, 10% fell into the patient under investigation (PUI) category. 4/60 (6.7%) IgM positive was observed in the staff cohort in which 3/4 came from non-PUI participants. Neither participant had RT-PCR positive demonstrating a 1.9% total false positive rate. ConclusionRapid point-of-care antibody test can be used to screen either a pregnant coming for delivery, a patient who requires urgent/emergency operative procedures, or medical personnel, at least in the defined lower-prevalence COVID-19 situation. Trial registrationThis study was approved by the Institutional Review Board of Srinakharinwirot University (IRB SWUEC119/2563F) and was registered at the Thai Clinical Trials Registry (TCTR20210613001).

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.