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Epidemiology and risk factors of nosocomial infections in a Chinese tertiary-care hospital: a 10-year retrospective case-control study.
Wang, Zekun; Du, Mingmei; Cao, Hui; Yao, Hongwu; Liu, Bowei; Bai, Yanling; Geng, Huiling; Jia, Zhongwei; Liu, Yunxi.
Afiliación
  • Wang Z; School of Public Health, Peking University, Beijing, China.
  • Du M; Department of Disease Prevention and Control, First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Cao H; School of Public Health, Peking University, Beijing, China.
  • Yao H; Department of Disease Prevention and Control, First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Liu B; Department of Disease Prevention and Control, First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Bai Y; Department of Disease Prevention and Control, First Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Geng H; Network Security and Information Technology Center, Peking University Health Science Center, Beijing, China.
  • Jia Z; School of Public Health, Peking University, Beijing, China.
  • Liu Y; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China.
Infect Dis (Lond) ; 56(4): 320-329, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38317598
ABSTRACT

BACKGROUND:

Nosocomial infections (NIs) are the most frequent adverse events among patients and cause a heavy burden on both health and economics. To investigate epidemiology of NIs and identify risk factors for NIs by integrating continuous long-term surveillance data.

METHODS:

We performed an observational study among inpatients at the Chinese People's Liberation Army General Hospital between January 1, 2010, and December 31, 2019. Infection rates, mortality rates and percentage of NIs were calculated. Trends of yearly infection rates by pathogens were assessed using Mann-Kendall trend test. Controls were matched to cases (21) by age (±2 years), sex, admission date (±1 year) and admission diagnosis, and conditional logistic regression was used to estimate odds ratios.

RESULTS:

A total of 1,534,713 inpatients were included among which 33,468 NIs cases occurred with an infection rate of 2.18%. The most common infections were respiratory system infection (52.22%), bloodstream infection (17.60%), and genitourinary system infection (15.62%). Acinetobacter. baumannii (9.6%), Klebsiella. pneumoniae (9.0%), Pseudomonas. aeruginosa (8.6%), Escherichia. coli (8.6%) and Enterococcus. faecium (5.0%) were the top five isolated pathogens. Infection rates of K. pneumoniae and carbapenems-resistant K. pneumoniae significantly increased. Prior ICU stay, surgery, any device placement (including central venous catheter, mechanical ventilation, urinary catheter, and tracheotomy), prior use of triple or more antibiotics combinations, carbapenem, and ß-Lactamase inhibitors were significantly associated with NIs.

CONCLUSION:

K. pneumoniae has the potential to cause a clinical crisis with increasing infection rates and carbapenem resistance. Clinical management of invasive operations and antibiotics use should be further strengthened.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Infección Hospitalaria Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Infect Dis (Lond) Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Infección Hospitalaria Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Infect Dis (Lond) Año: 2024 Tipo del documento: Article País de afiliación: China