Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Sep 15;13(1):15282.
doi: 10.1038/s41598-023-42522-2.

Risk predict model using multi-drug resistant organism infection from Neuro-ICU patients: a retrospective cohort study

Hu Jiang  1 , Hengping Pu  1 , Nanqu Huang  2
Affiliations

Risk predict model using multi-drug resistant organism infection from Neuro-ICU patients: a retrospective cohort study

Hu Jiang et al. Sci Rep. .

Abstract

The aim of this study was to analyze the current situation and risk factors of multi-drug-resistant organism (MDRO) infection in Neuro-intensive care unit (ICU) patients, and to develop the risk predict model. The data was collected from the patients discharged from Neuro-ICU of grade-A tertiary hospital at Guizhou province from January 2018 to April 2020. Binary Logistics regression was used to analyze the data. The model was examined by receiver operating characteristic curve (ROC). The grouped data was used to verify the sensitivity and specificity of the model. A total of 297 patients were included, 131 patients infected with MDRO. The infection rate was 44.11%. The results of binary Logistics regression showed that tracheal intubation, artery blood pressure monitoring, fever, antibiotics, pneumonia were independent risk factors for MDRO infection in Neuro-ICU (P < 0.05), AUC = 0.887. The sensitivity and specificity of ROC curve was 86.3% and 76.9%. The risk prediction model had a good predictive effect on the risk of MDRO infection in Neuro ICU, which can evaluate the risk and provide reference for preventive treatment and nursing intervention.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Patient enrollment flow chart.
Figure 2
Figure 2
ROC curve of MDRO infection prediction model.
Figure 3
Figure 3
A simplified schematic diagram representing risk predict model using multi-drug resistant organism infection from Neuro-ICU patients.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Badenes R, Robba C, Taccone FS, Bilotta F. Neuro-ICU patient disposition: Optimal venue for acute needs. Curr. Opin. Crit. Care. 2018;24:65–71. doi: 10.1097/mcc.0000000000000482. - DOI - PubMed
    1. Beghi E, et al. Acute and post-acute neurological manifestations of COVID-19: Present findings, critical appraisal, and future directions. J. Neurol. 2022;269:2265–2274. doi: 10.1007/s00415-021-10848-4. - DOI - PMC - PubMed
    1. Jarrell AS, Kruer RM, Berescu LD, Pronovost PJ, Trivedi JB. Factors associated with in-hospital mortality among critically ill surgical patients with multidrug-resistant gram-negative infections. J. Crit. Care. 2018;43:321–326. doi: 10.1016/j.jcrc.2017.10.035. - DOI - PubMed
    1. Al-Sunaidar KA, Aziz NA, Hassan Y, Jamshed S, Sekar M. Association of multidrug resistance bacteria and clinical outcomes of adult patients with sepsis in the intensive care unit. Trop. Med. Infect. Dis. 2022 doi: 10.3390/tropicalmed7110365. - DOI - PMC - PubMed
    1. Thoma R, et al. The challenge of preventing and containing outbreaks of multidrug-resistant organisms and Candida auris during the coronavirus disease 2019 pandemic: Report of a carbapenem-resistant Acinetobacter baumannii outbreak and a systematic review of the literature. Antimicrob. Resist. Infect. Control. 2022;11:12. doi: 10.1186/s13756-022-01052-8. - DOI - PMC - PubMed

Publication types

Substances