A retrospective study on risk factors and disease burden for hospital-acquired pneumonia caused by multi-drug-resistant bacteria in patients with intracranial cerebral hemorrhage

Yang, Haojun; Fan, Yishu; Li, Chunhui; Zhang, Mengqi; Liu, Weiping

doi:10.1007/s10072-021-05721-1

Cited by 6 publications

(9 citation statements)

References 25 publications

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“…K -clustering is utilized to randomly assign each particle swarm to increase the search accuracy of local optimal solution. On the other hand, the global convergence needs to be improved, and the calculation time is saved [ 16 ]. Collaborative strategies in different dimensions.…”

Section: Build the Risk Control Model Of Hospital Equipment Managemen...mentioning

confidence: 99%

[Retracted] A Composite Particle Swarm Optimization Algorithm for Hospital Equipment Management Risk Control Optimization and Prediction

Zhang

2022

Journal of Environmental and Public Health

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Aiming at the problem that particles cannot realize multidimensional analysis and poor global search ability, a composite particle swarm optimization algorithm is proposed, improving the accuracy of particle swarm optimization. Firstly, k-clustering is used to cluster risk management particle swarm optimization. The advantages of particle swarm optimization have to be given full play, and the risk of hospital equipment management from various aspects has to be controlled. Then, the multidimensional particle swarm is segmented to obtain an ordered multidimensional risk particle swarm set, which provides a basis for later risk prediction. Finally, through the fusion function of multidimensional risk particle swarm, the risk particle swarm set based on the clustering degree is constructed, and the optimal extreme value is obtained, so as to improve the accuracy of management risk calculation results. Through MATLAB simulation analysis, it can be seen that the composite particle swarm optimization algorithm is better than particle swarm optimization algorithm in global search accuracy and search time. Moreover, the calculation time and accuracy are better. Therefore, the composite particle swarm optimization algorithm can be used to analyze the risk of hospital equipment and effectively control the risk of hospital equipment management.

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Section: Build the Risk Control Model Of Hospital Equipment Managemen...mentioning

confidence: 99%

[Retracted] A Composite Particle Swarm Optimization Algorithm for Hospital Equipment Management Risk Control Optimization and Prediction

Zhang

2022

Journal of Environmental and Public Health

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“…Diagram of the Animal Experiment Plan. (B) The mice were randomly divided into four groups: (1) control group (CON), (2) dopamine group (DA), (3) K. quasivariicola group (K.q), and (4) dopamine + K. quasivariicola group (K.q+DA). The control group received a saline intraperitoneal injection.…”

Section: Resultsmentioning

confidence: 99%

“…All animal experiments were approved by the Committee on the Ethics of Animal Experiments of Dalian Medical University (Permission number: SYXK (Liao) 2018-0007) and were performed in strict accordance with the recommendations. Sixteen C57/BL6 mice (aged 8 weeks, weight 20-25 g) were randomly divided into four experimental groups: (1) control group (CON), (2) dopamine group (DA), (3) K. quasivariicola group (k.q), and (4) K. quasivariicola + dopamine group (k.q+DA). In control group, the mice were intraperitoneal injection with saline.…”

Section: Methodsmentioning

confidence: 99%

“…It can cause the increase hospitalization time, risk of complications, and also the additional financial burdens on patients (1). The risk factors of nosocomial infection include the use of invasive treatment, the administration of hormones and antibiotics (2, 3). In addition, recently, examples have been reported that dopamine, a commonly used drug in ICU, was also associated with infections.…”

Section: Introductionmentioning

confidence: 99%

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Dopamine promotesKlebsiella quasivariicolaproliferation and inflammatory response in the presence of macrophages

Yan

Cheng

et al. 2023

Preprint

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Klebsiella quasivariicola was a novel strain of Klebsiella species and had potential pathogenicity. Our previously studies showed dopamine, one of the most commonly used rescue drugs for critically ill patients, had clear effects on the growth of K. quasivariicola in culture medium, however, its effects on host immune system were ignored. Therefore, in consideration of the host immunity, the interactions of K. quasivariicola, dopamine and macrophages were explored. In this study, RAW264.7 cells and C57/BL6 mice were infected with K. quasivariicola, and the bacterial growth in macrophage, the production of inflammatory cytokines and the pathological changes of mice lung were detected, in the absence or presence of dopamine. Our results showed dopamine inhibited the K. quasivariicola growth in medium, but promoted the bacterial growth when K. quasivariicola was co-cultured with macrophages; The expression of proinflammatory cytokines in K. quasivariicola infected RAW 264.7 were increased, while a sharp rise was observed with the addition of dopamine; Infection of K. quasivariicola to mice induced an inflammatory response and lung injury, which were exacerbated by dopamine administration. It can be concluded that dopamine administration resulted in a significantly increase of K. quasivariicola burdens in the presence of macrophage, consequently, aggravated the inflammatory response and inflammatory injury.

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“…All the studies providing data regarding pneumonia due to MDR pathogens in CNS injuries are summarized in Table I (38)(39)(40)(41)(42)(43)(44)(45). Regarding patients with TBI and pneumonia, the prevalence of MDR pneumonia ranges between 5.4 and 29.6%, according to different studies (39,40).…”

Section: Prevalence Of Pneumonia Due To Mdr Pathogens In Cns Injuriesmentioning

confidence: 99%

Lower respiratory tract infections due to multi‑drug resistant pathogens in central nervous system injuries (Review)

et al. 2023

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Pneumonia is one of the most prevalent infections in the intensive care unit (ICU), where pneumonia may occur during hospitalization in the ICU as a complication. ICU patients with central nervous system (CNS) injuries are not an exception, and they may even be more susceptible to infections such as pneumonia due to issues such as swallowing difficulties, the requirement for mechanical ventilation, and extended hospital stay. Numerous common CNS injuries, such as ischemic stroke, traumatic brain injury, subarachnoid hemorrhage, and intracerebral hemorrhage, can prolong hospital stay and increase the risk of pneumonia. Multidrug-resistant (MDR) microorganisms are a common and significant concern, with increased mortality in nosocomial pneumonia. However, research on pneumonia due to MDR pathogens in patients with CNS injuries is limited. The aim of the present review was to provide the current evidence regarding pneumonia due to MDR pathogens in patients with CNS injuries. The prevalence of pneumonia due to MDR pathogens in CNS injuries differs among different settings, types of CNS injuries, geographical areas, and time periods in which the studies were performed. Specific risk factors for the emergence of pneumonia due to MDR pathogens have been identified in ICUs and neurological rehabilitation units. Antimicrobial resistance is currently a global issue, although using preventive measures, early diagnosis, and close monitoring of MDR strains may lessen its impact. Since there is a lack of information on these topics, more multicenter prospective studies are required to offer insights into the clinical features and outcomes of these patients.

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A retrospective study on risk factors and disease burden for hospital-acquired pneumonia caused by multi-drug-resistant bacteria in patients with intracranial cerebral hemorrhage

Cited by 6 publications

References 25 publications

[Retracted] A Composite Particle Swarm Optimization Algorithm for Hospital Equipment Management Risk Control Optimization and Prediction

[Retracted] A Composite Particle Swarm Optimization Algorithm for Hospital Equipment Management Risk Control Optimization and Prediction

Dopamine promotesKlebsiella quasivariicolaproliferation and inflammatory response in the presence of macrophages

Lower respiratory tract infections due to multi‑drug resistant pathogens in central nervous system injuries (Review)

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