COVID-19 REINFECTION: DOES IT MATTER?
Objective: The aim of this study was to present the descriptive findings of 65 patients evaluated as clinical COVID-19 reinfection. Materials and Methods: We conducted a retrospective chart review of COVID-19 reinfection cases recorded by the provincial health directorate. The time between infection...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Istanbul University Press
2023-10-01
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| Series: | Sabiad |
| Subjects: | |
| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/22E48DF1ABF547A7B4308FE88202C398 |
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| Summary: | Objective: The aim of this study was to present the descriptive findings of 65 patients evaluated as clinical COVID-19 reinfection. Materials and Methods: We conducted a retrospective chart review of COVID-19 reinfection cases recorded by the provincial health directorate. The time between infections (days), whether the patient was hospitalized, symptoms at the time of both positive tests, presence of risky contact, occupation, lung imaging results, laboratory findings, and RT-PCR cycle threshold (Ct) values were recorded. Results were expressed as mean (standard deviation [SD]) or median (interquartile range [IQR]), and categorical variables were expressed as frequency (percentage). Results: The mean time between infections was 124.9 (SD 39.7) days and the median was 117 (IQR 96-143.5) days. Reinfection occurred after 45 to 89 days in 10 patients (15.4%) and after 90 days or more in 55 patients. The shortest time to reinfection was 60 days and the longest time was 272 days. The median Ct value was 24.5 (IQR 22-26.5) among patients reinfected after 45 to 89 days and 28 (IQR 25-32) among those reinfected after at least 90 days. Conclusion: This study demonstrated that the frequency of COVID-19 reinfection is higher than predicted. The complex algorithms recommended by international health institutions make it difficult to detect these cases. However, rapid identification of these patients is essential to prevent new infections and control the pandemic. |
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| ISSN: | 2651-4060 |