Background Protective long‐term immunity following coronavirus disease 2019 (COVID‐19) is unclear. The study evaluated the relationship between the vaccination status and risk factors in the re‐infection of patients with a diagnosis of COVID‐19 who reported to the Public Health Management System in a province in south‐eastern Turkey. Methods Patients with positive results for the severe acute respiratory syndrome coronavirus 2 by the real‐time reverse transcription polymerase chain reaction (RT‐PCR) test in respiratory samples were defined as confirmed cases. Reinfection was diagnosed in cases with COVID‐19 real‐time RT‐PCR positivity, with or without COVID‐19–like symptoms, in at least 90 days after the first infection/disease. Results A total of 58 811 patients with the diagnosis of COVID‐19 from March 11, 2020, to August 31, 2021, were included in the study. Re‐infection was detected in 421 (0.7%) of all patients. The mean age of the cases was 38.0±16.0 years, and 51% of them were female. Eight (2.0%) of the cases resulted in death due to re‐infection. No hospitalization or mortality was observed in fully vaccinated patients. Additionally, none of the mortal cases had completed the vaccination schedule. Conclusions We are concerned that the re‐infection rates and mortality may increase due to new variant strains. Vaccination is the greatest weapon against progression to critical illness in re‐infections, even with existing mutations. Therefore, it is important for those without a full vaccination schedule to be vaccinated, even if they have been previously infected.

No abstract

Objective: It is increasingly important to identify risk factors for COVID-19-associated mortality to provide access to early treatment. This study aimed to investigate the relationship between COVID-19 severity and laboratory data and demographic characteristics of hospitalized patients and to identify factors predicting mortality in COVID-19. Materials and Methods:The study is a retrospective and single-center study. Data of 1298 COVID-19 patients confirmed by a positive real-time polymerase chain reaction test for COVID-19 and treated at the hospital were retrospectively analyzed. Study patients were divided into three groups based on the clinical severity of disease: the mild-moderate group (n:954) and the severe (n:310) and critical (n:34) groups. Demographic characteristics, underlying diseases, and laboratory findings were compared between groups.Results: Multivariate logistic and ordinal logistic regression analysis revealed that male gender, old age, diabetes mellitus, coronary artery disease, cerebrovascular event, malignancy, chronic obstructive pulmonary disease, chronic renal failure, chronic hepatitis B, and Alzheimer's disease/dementia/Parkinson's disease (among neurological diseases) were independently associated with and significantly increased the development of severe disease and mortality. Conclusion:The COVID-19 pandemic continues to be a significant health problem affecting all of humanity. Determining risk factors for COVID-19 severity and mortality are critical for classifying critical cases at the time of initial diagnosis, establishing appropriately specific treatment protocols, and ensuring access to early treatment.

No abstract