Investigation of multiple nosocomial infections using a semi-Markov multi-state model.
Antimicrob Resist Infect Control
; 13(1): 58, 2024 Jun 06.
Article
de En
| MEDLINE
| ID: mdl-38845037
ABSTRACT
BACKGROUND:
The prevalence of multiple nosocomial infections (MNIs) is on the rise, however, there remains a limited comprehension regarding the associated risk factors, cumulative risk, probability of occurrence, and impact on length of stay (LOS).METHOD:
This multicenter study includes all hospitalized patients from 2020 to July 2023 in two sub-hospitals of a tertiary hospital in Guangming District, Shenzhen. The semi-Markov multi-state model (MSM) was utilized to analyze risk factors and cumulative risk of MNI, predict its occurrence probability, and calculate the extra LOS of nosocomial infection (NI).RESULTS:
The risk factors for MNI include age, community infection at admission, surgery, and combined use of antibiotics. However, the cumulative risk of MNI is lower than that of single nosocomial infection (SNI). MNI is most likely to occur within 14 days after admission. Additionally, SNI prolongs LOS by an average of 7.48 days (95% Confidence Interval, CI 6.06-8.68 days), while MNI prolongs LOS by an average of 15.94 days (95% CI 14.03-18.17 days). Furthermore, the more sites of infection there are, the longer the extra LOS will be.CONCLUSION:
The longer LOS and increased treatment difficulty of MNI result in a heavier disease burden for patients, necessitating targeted prevention and control measures.Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Infection croisée
/
Durée du séjour
Limites:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Pays/Région comme sujet:
Asia
Langue:
En
Journal:
Antimicrob Resist Infect Control
Année:
2024
Type de document:
Article
Pays d'affiliation:
Chine