Bronchiectasis, a respiratory ailment, significantly impacts the life expectancy of individuals. This study aimed to explore the prevalence of multidrug-resistant organisms (MDROs) among bronchiectasis patients, the resistance patterns within various antibiotic classes, and the associated factors with these organisms.

A retrospective observational analysis was conducted on adult bronchiectasis patients attending clinics at Jordan University Hospital. The diagnosis of bronchiectasis was established through lung Computerized Tomography (CT) scans and clinical symptom assessment.

The study encompassed 235 patients, revealing a notably higher occurrence of MDROs among non-cystic fibrosis patients compared to their counterparts (P-value=0.001). Additionally, MDROs showed significant associations with the usage of inhaled beta agonists, anti-cholinergics, corticosteroids, and inhaled antibiotics (P-value<0.050). Patients with MDROs experienced a significantly elevated mean number of hospitalizations, exacerbations, and antibiotic courses compared to their counterparts (P-value<0.050). Moreover, those with MDROs exhibited a higher incidence of requiring O2 device support and faced an increased risk of mortality (P-value<0.050).

The observational nature of our study limits the associations in our study. However, we provided evidence that it is imperative for clinicians to assess their bronchiectasis patients for MDRO risk factors, facilitating appropriate initial antibiotic selection. Nevertheless, the validation of MDRO risk factors necessitates further exploration through larger studies with extended follow-up periods.

Carbapenem-resistant Acinetobacter baumannii (CRAB) is of critical concern in healthcare settings, leading to limited treatment options. In this study, we conducted a comprehensive meta-analysis to assess the prevalence of CRAB by examining temporal, geographic, and bias-related variations.

We systematically searched prominent databases, including Scopus, PubMed, Web of Science, and EMBASE. Quality assessment was performed using the JBI checklist. Subgroup analyses were performed based on the COVID-19 timeframes, years, countries, continents, and bias levels, antimicrobial susceptivity test method and guidelines.

Our comprehensive meta-analysis, which included 795 studies across 80 countries from 1995 to 2023, revealed a surge in carbapenem resistance among A. baumannii, imipenem (76.1%), meropenem (73.5%), doripenem (73.0%), ertapenem (83.7%), and carbapenems (74.3%). Temporally, 2020-2023 witnessed significant peaks, particularly in carbapenems (81.0%) and meropenem (80.7%), as confirmed by meta-regression, indicating a steady upward trend.

This meta-analysis revealed an alarmingly high resistance rate to CRAB as a global challenge, emphasizing the urgent need for tailored interventions. Transparency, standardized methodologies, and collaboration are crucial for the accurate assessment and maintenance of carbapenem efficacy.

The escalating threat of multidrug-resistant organisms (MDROs) in intensive care unit (ICU) demands innovative management strategies to curb the rising infection rates and associated clinical challenges.

To assess the effectiveness of integrating the multidisciplinary team (MDT) approach with the SHEL (Software, Hardware, Environment, Liveware) model in reducing MDRO infections within ICU settings.

From January 2021 to April 2024, a prospective, randomized controlled study was conducted in the ICU of Nantong Fourth People's Hospital, enrolling 411 patients with MDRO infections. These patients were randomly assigned into 3 groups: the MDT group, the SHEL model group, and a combined group. The intervention lasted for 4 weeks, during which the effects on the MDRO detection rate, infection rate, health care staff's infection control execution scores, and the rationality of antibiotic use were assessed, aiming to determine the efficacy of each approach in managing MDROs in the ICU setting.

The overall infection rate of MDROs in the ICU of our hospital from 2021 to 2024 was 60.18%, with sputum infection sources accounting for 68.37% of the total sources, making it the primary source of infection. The detection rate of MDROs in the combined group was significantly higher than that in the MDT and the SHEL groups, with the SHEL group having a higher detection rate than the MDT group (P < 0.05). The infection rate of MDROs in the combined group was significantly lower than that in both the MDT and the SHEL groups, with the SHEL group having a lower detection rate than the MDT group (P < 0.05). The implementation scores of the combination group in standard prevention, hand hygiene, antibiotic management, and isolation measures were significantly higher than those of the MDT and SHEL groups, with the SHEL group scoring higher than the MDT group (P < 0.05). The rational use of antibiotics in the combined group was also higher than in both the MDT and the SHEL groups, with the SHEL group having a higher level than the MDT group (P < 0.05).

The integrated MDT and SHEL model significantly reduced MDRO infections in ICU, improved health care workers' infection prevention and nursing quality, and promoted the appropriate use of antibiotics, advocating for its clinical application.

Although there is ample proof of the advantages of infection prevention and Control (IPC) in acute-care hospitals, there is still some questions about the efficacy of IPC interventions for multidrug-resistant organisms (MDROs), and there is a need for the development of evidence-based practices. No healthcare facility has found a single effective technique to reduce MDRO. However, a multicomponent intervention that included improved barrier protection, chlorhexidine bathing, microbiological monitoring, and staff involvement significantly decreased the likelihood of infection in the patient surroundings with multidrug-resistant organisms. A practical strategy suited to reducing the burden of MDROs and their transmission potential in the critical care unit must be established in light of the global development of AMR. In this review, we summarize key findings of a multicomponent approaches to reduce MDROs in critical care units.

Carbapenem-resistant gram-negative bacteria represent a challenging healthcare threat, accounting for metallo-β-lactamases (MBL) production increase across the world. MBL-producing Enterobacterales and Pseudomonas aeruginosa represent the main target for ultimate antibiotics combinations due to the difficulty to include carbapenems within the antimicrobial treatment.

To provide a comprehensive review of the current knowledge about the aztreonam/avibactam (ATM-AVI) combination, which has emerged as a promising option for treating MBL-producing bacteria.

Relevant in vitro and in vivo studies on ATM-AVI effectiveness.

The review summarizes ATM-AVI characteristics and targets, examining how AVI restores ATM effectiveness against MBLs while protecting it from other β-lactamases. Key in vitro and in vivo studies on ATM-AVI efficacy are presented.

This review provides insights into the potential clinical management implications of ATM-AVI for treating carbapenem-resistant gram-negative infections, particularly those caused by MBL-producing organisms.

The increase in bacterial resistance is currently a global burden for the health care system. In order to evaluate the resistance rates of several bacteria from the most encountered cultures in clinical practice, we performed a retrospective analysis of all of the positive cultures from the year 2021 in a tertiary care hospital in Romania. Our analysis captured 3299 positive cultures. The median age of the patients was 62 years (IQR: 41-71 years old) with a slight predominance among females (53.1%). Overall, the most common cultures were urocultures, wound secretion cultures and blood cultures, and the most common identified bacteria were Escherichia coli, Staphylococcus aureus and Klebsiella spp. Positive cultures with the highest resistance rates were found in the bronchial aspirate cultures, catheter tip cultures, urocultures and blood cultures. Escherichia coli (n = 996) had the highest resistance to ampicillin (19.8%) and trimetoprim-sulfametoxazole (16.4%), while Staphylococcus aureus (n = 698) presented the highest resistance rates to clindamycin (27.4%) and oxaciline (19.7%). Klebsiella (n = 481) presented the highest resistance rates to piperaciline-tazobactam (25.2%) and ampicillin (20.4%), whereas Acinetobacter baumanii (n = 123) presented a resistance rate of more than 50% to carbapenems, gentamicin, ciprofloxacin and ceftazidime. The aim of our study was to identify bacterial resistance rates in order to provide updated clinical data to guide physicians in choosing the best empirical antibiotic treatment, especially in the west part of Romania.

The intensive care unit (ICU) is a department with a high risk of MDR bacteria, and ICU nurses and physicians play critical roles in bacterial multidrug resistance (MDR) prevention.

To explore the knowledge, attitudes, and practice (KAP) towards bacterial MDR among ICU nurses and physicians.

A self-designed questionnaire was administered to collect data. Structural equation modeling (SEM) was applied to assess the associations among study variables.

A total of 369 questionnaires were collected; 43 questionnaires were excluded due to self-contradictory on the trap question or the obviously repeated pattern. Finally, 326 (88.35%) valid questionnaires were included in the analysis. The knowledge, attitudes, and practice were 13.57 ± 1.69 (90.47%, possible range: 0-15), 38.75 ± 2.23 (96.88%, possible range: 8-40), and 47.40 ± 3.59 (94.80%, possible range: 10-50). The SEM showed that knowledge had a direct effect on attitude with a direct effect value of 0.61 (P < 0.001) and a direct negative effect on practice with a direct effect value of -0.30 (P = 0.009). The direct effect of attitude on practice was 0.89 (P < 0.001); the indirect effect of knowledge through attitude on practice was 0.52 (P < 0.001). Job satisfaction had a direct effect on attitude and practice, with an effect value of 0.52 (P = 0.030) and 0.75 (P = 0.040). Being a physician (OR = 0.354, 95%CI: 0.159-0.790, P = 0.011), 5-9.9 years of practice (OR = 4.534, 95%CI: 1.878-8.721, P < 0.001), and ≥ 10 years of practice (OR = 3.369, 95%CI: 1.301-8.721, P = 0.012) were independently associated with good knowledge. The attitude scores (OR = 1.499, 95%CI: 1.227-1.830, P < 0.001), male gender (OR = 0.390, 95%CI: 0.175-0.870, P = 0.022), and 5-9.9 years of experience (OR = 0.373, 95%CI: 0.177-0.787, P = 0.010) were independently associated with proactive practice.

Nurses and physicians in the ICU showed good knowledge, positive attitudes, and proactive practice toward bacterial MDR. Nurses and physicians' knowledge had a direct effect on their attitude, while attitude might directly influence the practice and also play a mediating role between knowledge and practice. Job satisfaction might directly support the positive attitude and practice toward bacterial MDR.

The objective of this study was to compare the continuous infusion of cefepime with the intermittent infusion in patients with sepsis caused by Gram-negative bacilli (GNB).

Randomized 1:1 multicenter double-blinded placebo-controlled study with allocation concealment; multicenter study in the intensive care units of Colombia. Patients with sepsis, severe sepsis or septic shock, and GNB-suspected bacteremia. Cefepime was administered for 7 to 14 days over 30 m intermittently every 8 h over 24 h plus continuous saline solution (0.9%) (G1) or 3 g administered continuously plus saline solution every 8 h (0.9%) (G2). The percentage of clinical response at 3, 7, and 14 days, relapse at 28 days, and mortality at discharge were measured.

The recruitment was stopped at the suggestion of the Institutional Review Board (IRB) following an FDA alert about cefepime. Thirty-two patients were randomized; 25 received the intervention, and GNB bacteremia was confirmed in 16 (9 G1 and 7 G2). Favorable clinical response in days 3, 7, and 14 was 88.8%, 88.8%, and 77.8% (G1) and was similar for G2 (85.7%). There were no relapses or deaths in G2, while in G1, one relapse and two deaths were observed.

The results of this study support the use of cefepime for the treatment of Gram-negative infections in critically ill patients, but we could not demonstrate differences between continuous or intermittent administration because of the small sample size, given the early suspension of the study.

The objective of this systematic review and meta-analysis was to estimate the global prevalence of multi-drug resistant (MDR) Pseudomonas aeruginosa causing ventilator-associated pneumonia (VAP).

The systematic search was conducted in four databases. Original studies describing MDR P. aeruginosa VAP prevalence in adults from 2012- 2022 were included. A meta-analysis, using the random effects model, was conducted for overall, subgroups (country, published year, study duration, and study design), and European data, respectively. Univariate meta-regression based on pooled estimates was also conducted. Systematic review registered in International Prospective Register of Systematic Review (CRD42022384035).

In total of 31 studies, containing a total of 7951 cases from 16 countries, were included. The overall pooled prevalence of MDR among P. aeruginosa causing VAP was 33% (95% confidence interval [CI] 27.7-38.3%). The highest prevalence was for Iran at 87.5% (95% CI 69-95.7%), and the lowest was for the USA at 19.7% (95% CI 18.6-20.7%). The European prevalence was 29.9% (95% CI 23.2-36.7%).

This review indicates that the prevalence of MDR P. aeruginosa in patients with VAP is generally high and varies significantly between countries; however, data are insufficient for many countries. The data in this study can provide a reference for VAP management and drug customisation strategies.

To develop a predictive model for assessing the risk of multidrug-resistant organisms (MDROs) infection and validate its effectiveness.

We conducted a study on a total of 2516 patients admitted to the neurosurgery intensive care unit (NICU) of a Grade-III hospital in Nantong City, Jiangsu Province, China, between January 2014 and February 2022. Patients meeting the inclusion criteria were selected using convenience sampling. The patients were randomly divided into modeling and validation groups in a 7:3 ratio. To address the category imbalance, we employed the Synthetic Minority Over-sampling Technique (SMOTE) to adjust the MDROs infection ratio from 203:1558 to 812:609 in the training set. Univariate analysis and logistic regression analysis were performed to identify risk factors associated with MDROs infection in the NICU. A risk prediction model was developed, and a nomogram was created. Receiver operating characteristic (ROC) analysis was used to assess the predictive performance of the model.

Logistic regression analysis revealed that sex, hospitalization time, febrile time, invasive operations, postoperative prophylactic use of antibiotics, mechanical ventilator time, central venous catheter indwelling time, urethral catheter indwelling time, ALB, PLT, WBC, and L% were independent predictors of MDROs infection in the NICU. The area under the ROC curve for the training set and validation set were 0.880 (95% CI: 0.857-0.904) and 0.831 (95% CI: 0.786-0.876), respectively. The model's prediction curve closely matched the ideal curve, indicating excellent predictive performance.

The prediction model developed in this study demonstrates good accuracy in assessing the risk of MDROs infection. It serves as a valuable tool for neurosurgical intensive care practitioners, providing an objective means to effectively evaluate and target the risk of MDROs infection.

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.

Patients referred to intensive care units (ICU) commonly contract infections caused by multidrug-resistant (MDR) bacteria, which are typically linked to complications and high mortality. There are numerous independent factors that are associated with the transmission of these pathogens in the ICU. Preventive multilevel measures that target these factors are of great importance in order to break the chain of transmission. In this review, we aim to provide essential guidance for the development of robust prevention strategies, ultimately ensuring the safety and well-being of patients and healthcare workers in the ICU. We discuss the role of ICU personnel in cross-contamination, existing preventative measures, novel technologies, and strategies employed, along with antimicrobial surveillance and stewardship (AMSS) programs, to construct effective and thoroughly described policy recommendations. By adopting a multifaceted approach that combines targeted interventions with broader preventive strategies, healthcare facilities can create a more coherent line of defense against the spread of MDR pathogens. These recommendations are evidence-based, practical, and aligned with the needs and realities of the ICU setting. In conclusion, this comprehensive review offers a blueprint for mitigating the risk of MDR bacterial transmission in the ICU, advocating for an evidence-based, multifaceted approach.

Multi-drug resistance (MDR) emerged as a serious threat in intensive care unit (ICU) settings. Our study aimed to investigate the major pathogens in ICU and identify the risk factors for MDR infection.

We performed a retrospective analysis of patients admitted to the ICU. Multivariate logistic regression was applied to identify the independent predictors, and then a nomogram to predict the probability of MDR infection.

A total of 278 patients with 483 positive cultures were included. 249 (51.55%) had at least one MDR pathogen, including extensively drug-resistant (XDR) 77 (30.92%) and pan drug-resistant (PDR) 39 (15.66%), respectively. Klebsiella pneumonia was the most frequently isolated pathogen. We identified the number of bacteria (OR 2.91, 95% CI 1.97-4.29, P < 0.001), multiple invasive procedures (OR 2.23, 95% CI 1.37-3.63, P = 0.001), length of stay (LOS) (OR 1.01, 95% CI 1.00-1.02, P = 0.007), Hemoglobin (Hb) (OR 0.99, 95% CI 0.98-1.00, P = 0.01) were independent risk factors for MDR infection. Our nomogram displayed good discrimination with curve AUC was 0.75 (95% CI: 0.70-0.81). The decision curves also indicate the clinical utility of our nomogram. Additionally, the in-hospital mortality with MDR pathogens was independently associated with XDR (HR, 2.60; 95% CI: 1.08-6.25; P = 0.03) and total protein (TP) (HR, 0.95; 95% CI: 0.91-0.99; P = 0.03).

The number of bacteria, multiple invasive procedures, LOS, and Hb were the independent predictors associated with MDR pathogens. Our nomogram is potentially useful for predicting the occurrence of MDR infection. Besides, we also identify XDR and TP as the independent risk factors for in-hospital mortality with MDR infection. The current prevalence of MDR strains was also described. The results will contribute to the identification and preventive management of patients at increased risk of infection.