Wiadomosci lekarskie (Warsaw, Poland : 1960) · 2024
Healthcare-associated infections after neurosurgical procedures in Ukraine: a multicentre study (2020-2022).
Многоцентровое исследованиеСтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Salmanov Aidyn G, Shchehlov Dmytro V, Mamonova Maryna, Bortnik Ihor M, Chabanovych Nadiia B, Kudelskyi Yaroslav E, Chekhunova Daria
Аннотация
OBJECTIVE: Aim: To investigate the epidemiology, microbiology, and risk factors for healthcare-associated infections (HAIs) after a neurosurgical procedure in Ukraine.
PATIENTS AND METHODS: Materials and Methods: Prospective multicentre surveillance was conducted from January 2020 to December 2022 in 10 regional hospitals of Ukraine. Definitions of HAIs were adapted from the Centers for Disease Control and Prevention's National Healthcare Safety Network.
RESULTS: Results: Of 8,623 neurosurgical patients, 1,579 (18.3%) HAIs were observed. The most frequently of HAI types were pneumonia (38.4%), surgical site infection (34.2%), urinary tract infection (18.1%) and bloodstream infection (9.3%). Death during hospitalization was reported in 11.3% of HAI cases. There was an association between HAIs after neurosurgical procedures and patients with diabetes mellitus, end-stage renal disease undergoing dialysis, and leukaemia. The strongest independent associations were observed for intubation, urinary catheters, and vascular catheters. Klebsiella pneumoniae were most commonly reported, accounting for 25.1% of all organisms, followed by Escherichia coli (17.6%), Staphylococcus aureus (9.9%), Pseudomonas aeruginosa (8.9%), Acinetobacter baumannii (8.5%), coagulase-negative staphylococci (6.8%), and Streptococcus spp. (5.5%). In total, 76.3% isolates from neurosurgical patients were MDROs. Antimicrobial resistance in Ukraine varies greatly by bacterial species, antimicrobial group, and region.
CONCLUSION: Conclusions: Healthcare-associated infections are a cause for mortality and morbidity among neurosurgical patients. This is due to increase emergence of antimicrobial-resistant pathogens. Routinely collected surveillance data are of great value as a basis for studying the consequences of HAIs.
PATIENTS AND METHODS: Materials and Methods: Prospective multicentre surveillance was conducted from January 2020 to December 2022 in 10 regional hospitals of Ukraine. Definitions of HAIs were adapted from the Centers for Disease Control and Prevention's National Healthcare Safety Network.
RESULTS: Results: Of 8,623 neurosurgical patients, 1,579 (18.3%) HAIs were observed. The most frequently of HAI types were pneumonia (38.4%), surgical site infection (34.2%), urinary tract infection (18.1%) and bloodstream infection (9.3%). Death during hospitalization was reported in 11.3% of HAI cases. There was an association between HAIs after neurosurgical procedures and patients with diabetes mellitus, end-stage renal disease undergoing dialysis, and leukaemia. The strongest independent associations were observed for intubation, urinary catheters, and vascular catheters. Klebsiella pneumoniae were most commonly reported, accounting for 25.1% of all organisms, followed by Escherichia coli (17.6%), Staphylococcus aureus (9.9%), Pseudomonas aeruginosa (8.9%), Acinetobacter baumannii (8.5%), coagulase-negative staphylococci (6.8%), and Streptococcus spp. (5.5%). In total, 76.3% isolates from neurosurgical patients were MDROs. Antimicrobial resistance in Ukraine varies greatly by bacterial species, antimicrobial group, and region.
CONCLUSION: Conclusions: Healthcare-associated infections are a cause for mortality and morbidity among neurosurgical patients. This is due to increase emergence of antimicrobial-resistant pathogens. Routinely collected surveillance data are of great value as a basis for studying the consequences of HAIs.