Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients
Abstract Background Chest computerized tomography (CT) scan is an important strategy that quantifies the severity of COVID-19 pneumonia. To what extent inactivated COVID-19 vaccines could impact the COVID-19 pneumonia on chest CT is not clear. Methods This study recruited 357 SARS-COV-2 B.1.617.2 (D...
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| Format: | Article |
| Language: | English |
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BMC
2023-03-01
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| Series: | Annals of Clinical Microbiology and Antimicrobials |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12941-023-00569-z |
| _version_ | 1827984978325012480 |
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| author | Miao Lai Kai Wang Chengyuan Ding Yi Yin Xiaoling lin Chuanjun Xu Zhiliang Hu Zhihang Peng |
| author_facet | Miao Lai Kai Wang Chengyuan Ding Yi Yin Xiaoling lin Chuanjun Xu Zhiliang Hu Zhihang Peng |
| author_sort | Miao Lai |
| collection | DOAJ |
| description | Abstract Background Chest computerized tomography (CT) scan is an important strategy that quantifies the severity of COVID-19 pneumonia. To what extent inactivated COVID-19 vaccines could impact the COVID-19 pneumonia on chest CT is not clear. Methods This study recruited 357 SARS-COV-2 B.1.617.2 (Delta) variant-infected patients admitted to the Second Hospital of Nanjing from July to August 2021. An artificial intelligence-assisted CT imaging system was used to quantify the severity of COVID-19 pneumonia. We compared the volume of infection (VOI), percentage of infection (POI) and chest CT scores among patients with different vaccination statuses. Results Of the 357 Delta variant-infected patients included for analysis, 105 were unvaccinated, 72 were partially vaccinated and 180 were fully vaccinated. Fully vaccination had the least lung injuries when quantified by VOI (median VOI of 222.4 cm3, 126.6 cm3 and 39.9 cm3 in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001), POI (median POI of 7.60%, 3.55% and 1.20% in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001) and chest CT scores (median CT score of 8.00, 6.00 and 4.00 in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001). After adjustment for age, sex, comorbidity, time from illness onset to hospitalization and viral load, fully vaccination but not partial vaccination was significantly associated with less lung injuries quantified by VOI {adjust coefficient[95%CI] for “full vaccination”: − 106.10(− 167.30,44.89); p < 0.001}, POI {adjust coefficient[95%CI] for “full vaccination”: − 3.88(− 5.96, − 1.79); p = 0.001} and chest CT scores {adjust coefficient[95%CI] for “full vaccination”: − 1.81(− 2.72, − 0.91); p < 0.001}. The extent of reduction of pulmonary injuries was more profound in fully vaccinated patients with older age, having underlying diseases, and being female sex, as demonstrated by relatively larger absolute values of adjusted coefficients. Finally, even within the non-severe COVID-19 population, fully vaccinated patients were found to have less lung injuries. Conclusion Fully vaccination but not partially vaccination could significantly protect lung injury manifested on chest CT. Our study provides additional evidence to encourage a full course of vaccination. |
| first_indexed | 2024-04-09T23:06:18Z |
| format | Article |
| id | doaj.art-7a822cee6e6a46b2bd61430e0c40f291 |
| institution | Directory Open Access Journal |
| issn | 1476-0711 |
| language | English |
| last_indexed | 2024-04-09T23:06:18Z |
| publishDate | 2023-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Annals of Clinical Microbiology and Antimicrobials |
| spelling | doaj.art-7a822cee6e6a46b2bd61430e0c40f2912023-03-22T10:39:48ZengBMCAnnals of Clinical Microbiology and Antimicrobials1476-07112023-03-012211910.1186/s12941-023-00569-zImpact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patientsMiao Lai0Kai Wang1Chengyuan Ding2Yi Yin3Xiaoling lin4Chuanjun Xu5Zhiliang Hu6Zhihang Peng7School of Public Health, Nanjing Medical UniversityThe First Affiliated Hospital of Nanjing Medical UniversityCenter for Global Health, School of Public Health, Nanjing Medical UniversitySchool of Public Health, Nanjing Medical UniversityCenter for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Radiology, The Second Hospital of Nanjing, Nanjing University of Chinese MedicineCenter for Global Health, School of Public Health, Nanjing Medical UniversitySchool of Public Health, Nanjing Medical UniversityAbstract Background Chest computerized tomography (CT) scan is an important strategy that quantifies the severity of COVID-19 pneumonia. To what extent inactivated COVID-19 vaccines could impact the COVID-19 pneumonia on chest CT is not clear. Methods This study recruited 357 SARS-COV-2 B.1.617.2 (Delta) variant-infected patients admitted to the Second Hospital of Nanjing from July to August 2021. An artificial intelligence-assisted CT imaging system was used to quantify the severity of COVID-19 pneumonia. We compared the volume of infection (VOI), percentage of infection (POI) and chest CT scores among patients with different vaccination statuses. Results Of the 357 Delta variant-infected patients included for analysis, 105 were unvaccinated, 72 were partially vaccinated and 180 were fully vaccinated. Fully vaccination had the least lung injuries when quantified by VOI (median VOI of 222.4 cm3, 126.6 cm3 and 39.9 cm3 in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001), POI (median POI of 7.60%, 3.55% and 1.20% in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001) and chest CT scores (median CT score of 8.00, 6.00 and 4.00 in unvaccinated, partially vaccinated and fully vaccinated, respectively; p < 0.001). After adjustment for age, sex, comorbidity, time from illness onset to hospitalization and viral load, fully vaccination but not partial vaccination was significantly associated with less lung injuries quantified by VOI {adjust coefficient[95%CI] for “full vaccination”: − 106.10(− 167.30,44.89); p < 0.001}, POI {adjust coefficient[95%CI] for “full vaccination”: − 3.88(− 5.96, − 1.79); p = 0.001} and chest CT scores {adjust coefficient[95%CI] for “full vaccination”: − 1.81(− 2.72, − 0.91); p < 0.001}. The extent of reduction of pulmonary injuries was more profound in fully vaccinated patients with older age, having underlying diseases, and being female sex, as demonstrated by relatively larger absolute values of adjusted coefficients. Finally, even within the non-severe COVID-19 population, fully vaccinated patients were found to have less lung injuries. Conclusion Fully vaccination but not partially vaccination could significantly protect lung injury manifested on chest CT. Our study provides additional evidence to encourage a full course of vaccination.https://doi.org/10.1186/s12941-023-00569-zCOVID-19COVID-19 vaccinesLung injuryArtificial intelligence (AI)Chest CT |
| spellingShingle | Miao Lai Kai Wang Chengyuan Ding Yi Yin Xiaoling lin Chuanjun Xu Zhiliang Hu Zhihang Peng Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients Annals of Clinical Microbiology and Antimicrobials COVID-19 COVID-19 vaccines Lung injury Artificial intelligence (AI) Chest CT |
| title | Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients |
| title_full | Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients |
| title_fullStr | Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients |
| title_full_unstemmed | Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients |
| title_short | Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients |
| title_sort | impact of inactivated covid 19 vaccines on lung injury in b 1 617 2 delta variant infected patients |
| topic | COVID-19 COVID-19 vaccines Lung injury Artificial intelligence (AI) Chest CT |
| url | https://doi.org/10.1186/s12941-023-00569-z |
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