&lt;p&gt;Prediction of the Risk of Hospital Deaths in Patients with Hospital-Acquired Pneumonia Caused by Multidrug-Resistant &lt;em&gt;Acinetobacter baumannii&lt;/em&gt; Infection: A Multi-Center Study&lt;/p&gt;

Shu, Hongmei; Li, Lijuan; Wang, Yimin; Guo, Yiqun; Wang, Chunlei; Yang, Chunxia; Gu, Li; Cao, Bin

doi:10.2147/idr.s265195

Cited by 9 publications

(13 citation statements)

References 30 publications

(29 reference statements)

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“…Some scoring models 24 included previous use of antibiotics, which is obviously not suitable for patients transferred from other hospitals, because the medical record system databases between hospitals are not interconnected. Some scoring systems 25 , 26 included Charlson comorbidity score, APACHE II (Acute Physiology and Chronic Health Evaluation II) and SOFA score (Sequential Organ Failure Assessment scores), 27 Clinicians still need to calculate these scores in the process of evaluation, which increases the complexity of variables. Independent risk factors included in our model can be easily obtained and judged by clinical symptoms and examination results of patients before the date of specimen collection.…”

Section: Discussionmentioning

confidence: 99%

Derivation and Validation of a Predictive Scoring Model of Infections Due to Acinetobacter baumannii in Patients with Hospital Acquired Pneumonia by Gram-Negative Bacilli

Sun

Liu

et al. 2022

IDR

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Background The prognosis of ABA-HAP patients is very poor. This study aimed to develop a scoring model to predict ABA-HAP in patients with GNB-HAP. Methods A single center retrospective cohort study was performed among patients with HAP caused by GNB in our hospital during January 2019 to June 2019 (the derivation cohort, DC). The variables were assessed on the day when qualified respiratory specimens were obtained. A prediction score was formulated by using independent risk factors obtained from logistic regression analysis. It was prospectively validated with a subsequent cohort of GNB-HAP patients admitted to our hospital during July 2019 to Dec 2019 (the validation cohort, VC). Results The final logistic regression model of DC included the following variables: transferred from other hospitals (3 points); blood purification (3 points); risk for aspiration (4 points); immunocompromised (3 points); pulmonary interstitial fibrosis (3 points); pleural effusion (1 points); heart failure (3 points); encephalitis (5 points); increased monocyte count (2 points); and increased neutrophils count (2 points). The AUROC of the scoring model was 0.845 (95% CI, 0.796 ~ 0.895) in DC and 0.807 (95% CI, 0.759 ~ 0.856) in VC. The scoring model clearly differentiated the low-risk patients (the score < 8 points), moderate-risk patients (8 ≤ the score < 12 points) and high-risk patients (the score ≥ 12 points), both in DC ( P < 0.001) and in VC ( P < 0.001). Conclusion This simple scoring model could predict ABA-HAP with high predictive value and help clinicians to choose appropriate empirical antibiotic therapy.

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Section: Discussionmentioning

confidence: 99%

Derivation and Validation of a Predictive Scoring Model of Infections Due to Acinetobacter baumannii in Patients with Hospital Acquired Pneumonia by Gram-Negative Bacilli

Sun

Liu

et al. 2022

IDR

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“…Few previous studies have revealed hospital-acquired pneumonia (HAP) as the main nosocomial infection resulting in increased morbidity, mortality, and medical costs [19]. Recent epidemiologic studies have reported an upward trend in the incidence of HAP attributable to MDROs.…”

Section: Discussionmentioning

confidence: 99%

“…only surveyed pathogens isolated from incisional secretions, but in our study, we surveyed pathogens isolated from a much larger variety of samples, including urine, sputum and blood, which were more likely to infected by gram-negative bacteria[16][17][18][19]. The ndings of our study indicate that it is critical to implement effective measures to control infections caused by gram-negative MDROs in hospitalized patients.…”

mentioning

confidence: 99%

Retrospective analysis of drug resistance characteristics and infection related risk factors of multidrug-resistant organisms (MDROs) isolated from the orthopedics department of a tertiary hospital

Yang

Guo

Zhang

et al. 2022

Preprint

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Background Patients infected with multidrug-resistant organisms (MDROs) are known to exhibit longer hospital stays and a significantly poorer prognosis. We performed a 6-year retrospective analysis of nosocomial infections reported in the orthopedics department of our institution, to gain valuable insights into antibiotic sensitivity and infectivity characteristics of MDROs, in order to deduce effective measures to control the occurrence of multidrug-resistant infections in clinical practice. Methods All relevant data, including basic patient information, cultivated bacterial strains, and antimicrobial resistance, was obtained from the Hospital Information Warehouse. Results A total of 1392 strains of pathogenic bacteria were isolated; 358 belonged to MDROs (detection rate = 25.7%). All the isolated strains of MDROs were mostly from secretions (52.2%). The number of cases infected with MDROs were 144 (40.2%) and 129 (36.0%) in the trauma and spinal wards, respectively. MRSA showed high resistance to β lactam antibiotics, but was sensitive to quinolone antibiotics, linezolid and cotrimoxazole. ESBL-positive strains showed more sensitivity to carbapenem antibiotics (< 10%). MDR nonfermenters showed high resistance to most antibiotics. Logistic multivariate analysis revealed age, open injury, and central nervous system injury as independent risk factors for multidrug resistant infections. Conclusions A high antibiotic resistance rate and an increasing prevalence of infections with MDROs was identified in the orthopedics department. Patients with open injury, central nervous system injury and those aged ≥ 60 years, were more prone to multidrug-resistant infections. Clinicians should pay more attention to such patients in order to actively prevent and control the occurrence of infections caused by MDROs.

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“…urinary tract infections, pneumonia, soft tissue and skin infections, meningitis, etc. [1]. A. baumannii, particularly in the hospital environment, has posed a serious threat to global well-being due to its concrete role in multidrug resistance (MDR) in the past two decades [2,3].…”

Section: Introductionmentioning

confidence: 99%

In Silico Evaluation of Bioactive Compounds of Artemisia pallens Targeting the Efflux Protein of Multidrug-Resistant Acinetobacter baumannii (LAC-4 Strain)

Suvaithenamudhan

Ananth²,

Mariappan

et al. 2022

Molecules

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Acinetobacter baumannii (A. baumannii) is one of the major representative aetiologies of recalcitrant nosocomial infections. Genotypic and phenotypic alterations in A. baumannii have resulted in a significant surge in multidrug resistance (MDR). Of all the factors responsible for the development of antimicrobial resistance (AMR), efflux protein pumps play a paramount role. In pursuit of a safe alternative for the prevention and control of A. baumannii infections, bioactive compounds from the aerial parts of the medicinal plant Artemisia pallens were studied. GC-MS analysis of the ethanol extract of A. pallens detected five major compounds: lilac alcohol A, spathulenol, lilac alcohol C, n-hexadecanoic acid, and vulgarin. In silico examinations were performed using the Schrödinger suite. Homology modelling was performed to predict the structure of the efflux protein of A. baumannii-LAC-4 strain (MDR Ab-EP). The identified bioactive compounds were analysed for their binding efficiency with MDR Ab-EP. High binding efficiency was observed with vulgarin with a glide score of −4.775 kcal/mol and stereoisomers of lilac alcohol A (−3.706 kcal/mol) and lilac alcohol C (−3.706 kcal/mol). Our molecular dynamic simulation studies unveiled the stability of the ligand–efflux protein complex. Vulgarin and lilac alcohol A possessed strong and stable binding efficiency with MDR Ab-EP. Furthermore, validation of the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of the ligands strongly suggested that these compounds could serve as a lead molecule in the development of an alternate drug from A. pallens.

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<p>Prediction of the Risk of Hospital Deaths in Patients with Hospital-Acquired Pneumonia Caused by Multidrug-Resistant <em>Acinetobacter baumannii</em> Infection: A Multi-Center Study</p>

Cited by 9 publications

References 30 publications

Derivation and Validation of a Predictive Scoring Model of Infections Due to Acinetobacter baumannii in Patients with Hospital Acquired Pneumonia by Gram-Negative Bacilli

Derivation and Validation of a Predictive Scoring Model of Infections Due to Acinetobacter baumannii in Patients with Hospital Acquired Pneumonia by Gram-Negative Bacilli

Retrospective analysis of drug resistance characteristics and infection related risk factors of multidrug-resistant organisms (MDROs) isolated from the orthopedics department of a tertiary hospital

In Silico Evaluation of Bioactive Compounds of Artemisia pallens Targeting the Efflux Protein of Multidrug-Resistant Acinetobacter baumannii (LAC-4 Strain)

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