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Rev Assoc Med Bras (1992) ; 68(2): 142-146, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1725074

ABSTRACT

OBJECTIVE: The vast majority of patients who hospitalized with coronavirus disease 2019 are given empirical antibiotic therapy. However, information on the frequency, microorganism species, and resistance rates of secondary bacterial infections in coronavirus disease 2019 patients are insufficient. We aimed to show the frequency of secondary infections and resistance conditions in patients with coronavirus disease 2019 hospitalized in the intensive care unit. METHODS: The results of tracheal aspirate culture, blood culture, and urine culture obtained from coronavirus disease 2019 patients - at least 2 days after their admission to the intensive care unit - were examined microbiologically. RESULTS: A total of 514 patients hospitalized in intensive care unit were included in our study. Tracheal aspirate, blood, or urine cultures were collected from 369 patients (71.8%). Bacterial reproduction was detected in at least one sample in 171 (33.3%) of all patients. The rate of respiratory tract infection and/or bloodstream infection was found to be 21%. Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa in tracheal aspirate culture; Coagulase-negative staphylococci, K. pneumoniae, and A. baumannii in blood culture; and Escherichia coli, K. pneumoniae, and Enterococcus faecalis in urine culture were the most common microorganisms. A. baumannii was resistant to most antibiotics except colistin and P. aeruginosa strains were resistant to most antibiotics except amikacin, colistin, cefepime, and imipenem. In K. pneumoniae, the highest meropenem sensitivity (73%) was observed; there was a strong resistance to most of the remaining antibiotics. CONCLUSIONS: We think that our study can be useful in choosing empirical antibiotic therapy in the coronavirus disease 2019 pandemic and reducing the mortality that may occur with secondary infection.


Subject(s)
Acinetobacter baumannii , Bacterial Infections , COVID-19 , Coinfection , Pneumonia , Anti-Bacterial Agents/therapeutic use , Bacterial Infections/complications , Bacterial Infections/drug therapy , COVID-19/complications , Humans , Microbial Sensitivity Tests , Pseudomonas aeruginosa , SARS-CoV-2
2.
Turk J Med Sci ; 51(3): 1012-1020, 2021 06 28.
Article in English | MEDLINE | ID: covidwho-1128077

ABSTRACT

Background/aim: It is very important for the efficient use of limited capacity and the success of treatment to predict patients who may need ICU with high mortality rate in the Covid-19 outbreak. In our study, it was aimed to investigate the value of the radiological involvement on initial CT in demonstrating the ICU transfer and mortality rate of patients. Materials and methods: All PCR-positive patients were included in the study, whose CT, PCR, and laboratory values were obtained simultaneously at the time of first admission. Patients were divided into 4 groups in terms of the extent of radiological lesions. These groups were compared in terms of intensive care transfer needs and Covid-related mortality rates. Results: A total of 477 patients were included in the study. Ninety of them were group 0 (no lung involvement), 162 were group 1 (mild lesion), 89 were group 2 (moderate lesion), and 136 were group 3 (severe lung involvement). A significant relationship was found between the extensiveness of the radiological lesion on CT and admission to intensive care and mortality rate. As the initial radiological involvement amounts increased, the rate of ICU transfer and mortality increased. The mortality rates of the groups were 0%, 3%, 12.3%, and 12.5%, respectively, and the difference was significant (p < 0.001). Similarly, the ICU transfer rates of the groups were 2.2%, 5.6%, 13.5%, and 17.7%, respectively, and the difference was significant (p < 0.001). Conclusion: In conclusion, in our study, the strong relationship between the initial radiological extent assessment and the need for intensive care and mortality rates has been demonstrated, and we believe that our results will make a significant contribution to increase the success of the health system in predicting patients who may progress, helping clinicians and managing pandemics.


Subject(s)
COVID-19/diagnosis , Intensive Care Units/statistics & numerical data , Pandemics , Radiography/methods , COVID-19/epidemiology , Female , Follow-Up Studies , Humans , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Survival Rate/trends , Turkey/epidemiology
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