Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment
Purpose Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a major healthcare threat worldwide. Since it was first identified in November 2021, the Omicron (B.1.1.529) variant of SARS-CoV-2 has evolved into several lineages, including BA.1...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-01-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/14666.pdf |
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| author | Chi-Sheng Chen Ming-Jr Jian Chih-Kai Chang Hsing-Yi Chung Shih-Yi Li Jung-Chung Lin Kuo-Ming Yeh Ya-Sung Yang Chien-Wen Chen Shan-Shan Hsieh Sheng-Hui Tang Cherng-Lih Perng Feng-Yee Chang Hung-Sheng Shang |
| author_facet | Chi-Sheng Chen Ming-Jr Jian Chih-Kai Chang Hsing-Yi Chung Shih-Yi Li Jung-Chung Lin Kuo-Ming Yeh Ya-Sung Yang Chien-Wen Chen Shan-Shan Hsieh Sheng-Hui Tang Cherng-Lih Perng Feng-Yee Chang Hung-Sheng Shang |
| author_sort | Chi-Sheng Chen |
| collection | DOAJ |
| description | Purpose Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a major healthcare threat worldwide. Since it was first identified in November 2021, the Omicron (B.1.1.529) variant of SARS-CoV-2 has evolved into several lineages, including BA.1, BA.2–BA.4, and BA.5. SARS-CoV-2 variants might increase transmissibility, pathogenicity, and resistance to vaccine-induced immunity. Thus, the epidemiological surveillance of circulating lineages using variant phenotyping is essential. The aim of the current study was to characterize the clinical outcome of Omicron BA.2 infections among hospitalized COVID-19 patients and to perform an immunological assessment of such cases against SARS-CoV-2. Patients and Methods We evaluated the analytical and clinical performance of the BioIC SARS-CoV-2 immunoglobulin (Ig)M/IgG detection kit, which was used for detecting antibodies against SARS-CoV-2 in 257 patients infected with the Omicron variant. Results Poor prognosis was noted in 38 patients, including eight deaths in patients characterized by comorbidities predisposing them to severe COVID-19. The variant-of-concern (VOC) typing and serological analysis identified time-dependent epidemic trends of BA.2 variants emerging in the outbreak of the fourth wave in Taiwan. Of the 257 specimens analyzed, 108 (42%) and 24 (9.3%) were positive for anti-N IgM and IgG respectively. Conclusion The VOC typing of these samples allowed for the identification of epidemic trends by time intervals, including the B.1.1.529 variant replacing the B.1.617.2 variant. Moreover, antibody testing might serve as a complementary method for COVID-19 diagnosis. The combination of serological testing results with the reverse transcription-polymerase chain reaction cycle threshold value has potential value in disease prognosis, thereby aiding in epidemic investigations conducted by clinicians or the healthcare department. |
| first_indexed | 2024-03-09T07:57:29Z |
| format | Article |
| id | doaj.art-58f238df5df54f8c9a4d9b56558f8b54 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T07:57:29Z |
| publishDate | 2023-01-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-58f238df5df54f8c9a4d9b56558f8b542023-12-03T00:52:38ZengPeerJ Inc.PeerJ2167-83592023-01-0111e1466610.7717/peerj.14666Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessmentChi-Sheng Chen0Ming-Jr Jian1Chih-Kai Chang2Hsing-Yi Chung3Shih-Yi Li4Jung-Chung Lin5Kuo-Ming Yeh6Ya-Sung Yang7Chien-Wen Chen8Shan-Shan Hsieh9Sheng-Hui Tang10Cherng-Lih Perng11Feng-Yee Chang12Hung-Sheng Shang13Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, TaiwanDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, TaiwanDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, TaiwanDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanDivision of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, TaiwanDivision of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, TaiwanPurpose Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a major healthcare threat worldwide. Since it was first identified in November 2021, the Omicron (B.1.1.529) variant of SARS-CoV-2 has evolved into several lineages, including BA.1, BA.2–BA.4, and BA.5. SARS-CoV-2 variants might increase transmissibility, pathogenicity, and resistance to vaccine-induced immunity. Thus, the epidemiological surveillance of circulating lineages using variant phenotyping is essential. The aim of the current study was to characterize the clinical outcome of Omicron BA.2 infections among hospitalized COVID-19 patients and to perform an immunological assessment of such cases against SARS-CoV-2. Patients and Methods We evaluated the analytical and clinical performance of the BioIC SARS-CoV-2 immunoglobulin (Ig)M/IgG detection kit, which was used for detecting antibodies against SARS-CoV-2 in 257 patients infected with the Omicron variant. Results Poor prognosis was noted in 38 patients, including eight deaths in patients characterized by comorbidities predisposing them to severe COVID-19. The variant-of-concern (VOC) typing and serological analysis identified time-dependent epidemic trends of BA.2 variants emerging in the outbreak of the fourth wave in Taiwan. Of the 257 specimens analyzed, 108 (42%) and 24 (9.3%) were positive for anti-N IgM and IgG respectively. Conclusion The VOC typing of these samples allowed for the identification of epidemic trends by time intervals, including the B.1.1.529 variant replacing the B.1.617.2 variant. Moreover, antibody testing might serve as a complementary method for COVID-19 diagnosis. The combination of serological testing results with the reverse transcription-polymerase chain reaction cycle threshold value has potential value in disease prognosis, thereby aiding in epidemic investigations conducted by clinicians or the healthcare department.https://peerj.com/articles/14666.pdfB.1.1.529BA.2Anti-N IgMAnti-N IgGVOC genotypingEpidemiological surveillance |
| spellingShingle | Chi-Sheng Chen Ming-Jr Jian Chih-Kai Chang Hsing-Yi Chung Shih-Yi Li Jung-Chung Lin Kuo-Ming Yeh Ya-Sung Yang Chien-Wen Chen Shan-Shan Hsieh Sheng-Hui Tang Cherng-Lih Perng Feng-Yee Chang Hung-Sheng Shang Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment PeerJ B.1.1.529 BA.2 Anti-N IgM Anti-N IgG VOC genotyping Epidemiological surveillance |
| title | Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment |
| title_full | Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment |
| title_fullStr | Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment |
| title_full_unstemmed | Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment |
| title_short | Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment |
| title_sort | monitoring algorithm of hospitalized patients in a medical center with sars cov 2 omicron variant infection clinical epidemiological surveillance and immunological assessment |
| topic | B.1.1.529 BA.2 Anti-N IgM Anti-N IgG VOC genotyping Epidemiological surveillance |
| url | https://peerj.com/articles/14666.pdf |
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