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Aim. To identify the epidemiological features of HAIs in all patients admitted for surgery from 2018 to 2022. in a cardiac surgery hospital for the implementation of a risk-based prevention strategy.Materials and Methods. A descriptive retrospective epidemiological study of the HAI epidemic process was performed from 2018 to 2022. in patients of a large cardiac surgery hospital (n = 6179). Stratified indicators were calculated. To display unknown relationships and make a forecast, Fourier spectral analysis was performed, followed by the use of artificial intelligence technology - neural networks. The STATISTICA Automated Neural Networks (SANN) tool was used, as well as the StatTech v. 3.0.5.Results. The average rate of HAIs incidence over a 5-year period was 4.22 per 1000 patient days. We revealed decreasing trend of HAIs. Incidence of HCAI cardiopulmonary bypass surgery (CBS) was 3 times higher than without CBS (4.68 and 1.51 per 1000 patient-days, respectively). Fourier analysis revealed 10, 20, 30 cyclicity due to the dominant Klebsiella pneumoniae without the same time-series for other pathogens. The technology of neural network modeling did not reveal neural networks suitable for describing the forecast. Klebsiella pneumoniae showed properties typical of the hospital population and caused 35.49% of all cases of HAIs, had multidrug resistance to antibiotics in 74.45% of cases, with more than half of the strains having extended resistance, and 10.21% were pan-resistant. Acinetobacter baumanii also showed high epidemic activity, causing almost a fifth of all cases of HAIs, although its antimicrobial resistance characteristics were less pronounced than those of Klebsiella pneumoniae.Conclusion. The epidemiological characteristics of the epidemic process of HCAI is one of the mandatory components of risk identification. The identified features of the dynamics of the epidemic process of HCAI in a cardiac surgery hospital, risk groups and time, the structure and characteristics of the microbiota should be taken into account in the HCAI risk management system.
Aim. To identify the epidemiological features of HAIs in all patients admitted for surgery from 2018 to 2022. in a cardiac surgery hospital for the implementation of a risk-based prevention strategy.Materials and Methods. A descriptive retrospective epidemiological study of the HAI epidemic process was performed from 2018 to 2022. in patients of a large cardiac surgery hospital (n = 6179). Stratified indicators were calculated. To display unknown relationships and make a forecast, Fourier spectral analysis was performed, followed by the use of artificial intelligence technology - neural networks. The STATISTICA Automated Neural Networks (SANN) tool was used, as well as the StatTech v. 3.0.5.Results. The average rate of HAIs incidence over a 5-year period was 4.22 per 1000 patient days. We revealed decreasing trend of HAIs. Incidence of HCAI cardiopulmonary bypass surgery (CBS) was 3 times higher than without CBS (4.68 and 1.51 per 1000 patient-days, respectively). Fourier analysis revealed 10, 20, 30 cyclicity due to the dominant Klebsiella pneumoniae without the same time-series for other pathogens. The technology of neural network modeling did not reveal neural networks suitable for describing the forecast. Klebsiella pneumoniae showed properties typical of the hospital population and caused 35.49% of all cases of HAIs, had multidrug resistance to antibiotics in 74.45% of cases, with more than half of the strains having extended resistance, and 10.21% were pan-resistant. Acinetobacter baumanii also showed high epidemic activity, causing almost a fifth of all cases of HAIs, although its antimicrobial resistance characteristics were less pronounced than those of Klebsiella pneumoniae.Conclusion. The epidemiological characteristics of the epidemic process of HCAI is one of the mandatory components of risk identification. The identified features of the dynamics of the epidemic process of HCAI in a cardiac surgery hospital, risk groups and time, the structure and characteristics of the microbiota should be taken into account in the HCAI risk management system.
Objective. To study bactericidal effect of continuous spectrum ultraviolet radiation on hospital flora and evaluate microbiological efficiency of using portable pulsed ultraviolet unit for disinfection of air and open surfaces in a medical organization. During the study, it was found that the selected research methods probably did not allow to achieve higher values of disinfection efficiency in shorter processing times.Materials and methods. The strains of microorganisms that were used for the study were taken from various loci from patients of the department of anesthesiology and intensive care for children with cardiac pathology on the first day of their transfer from various medical organizations, as well as museum strains from the collection of microorganisms of the laboratory. Single-use plastic Petri dishes with nutrient media in the laboratory were artificially contaminated with test strains. Air samples were taken during the work shift by aspiration using a Krotov’s apparatus. Wipes were taken with a sterile cotton swab dipped in nutrient medium.Results. No colonies of multiresistant K. pneumoniae, S. aureus, E. coli were detected in the samples as a result of exposure to a pulsed ultraviolet radiation source in a mode № 1; the efficiency of the action was 99.9–100%. With the regimen № 2 the efficacy was 83.33–99.9%. Assessment of microbiological efficiency of the disinfected open surfaces and air in a small operating room and a dressing room showed that the level of air contamination did not exceed the permissible level.Conclusions. It has been experimentally proved that pulsed UV radiation of broadband spectrum has high bactericidal activity against microorganisms of hospital environments.
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