Multidrug-Resistant Sepsis: A Critical Healthcare Challenge

Optimizing fosfomycin dosing regimens in critically ill patients with and without continuous renal replacement therapy

PURPOSE

To define the optimal fosfomycin dosing regimens for drug-resistant gram-negative bacteria in critically ill patients and those receiving continuous renal replacement therapy (CRRT) via Monte Carlo simulations.

MATERIALS AND METHODS

A pharmacokinetic model for patients with and without CRRT was created to predict fosfomycin deposition in these patients. The pharmacodynamics (PD) targets were AUC/MIC ratio > 21.5, 28.2, and 98.8 for drug-resistant Klebsiella pneumoniae (KP), Pseudomonas aeruginosa (PA) and Escherichia coli (EC) infections, respectively. The optimal regimen was defined when the probability of target attainment (PTA) was >90 % of the virtual patients.

RESULTS

The fosfomycin dosing regimens for KP infections with MIC 64 mg/L in critically ill patients and who received CRRT were 6 g every 8 h and 8 g every 12 h, respectively. For PA infections, the regimens of 6 g every 6 h and 7 g every 8 h achieved the target in critically ill patients and those undergoing CRRT. No regimen achieved the 90 % PTA against the EC infection with MIC >32 mg/L.

CONCLUSIONS

Dosing regimens for bacteria with high MICs as 64 mg/L in these patients were 18-24 g/day. Dose adjustments were required in those undergoing CRRT. Clinical validation is strongly needed.

Hyaluronic acid-silybin conjugate for the preparation of multifunctional, biomimetic, vancomycin-loaded self-assembled polymersomes against bacterial sepsis

Sepsis, a life-threatening disruption, remains a significant global healthcare challenge that urgently needs novel strategies to improve management. This study aimed to develop multifunctional vancomycin-loaded polymersomes (VCM-HA-SIL-Ps) using a novel hyaluronic acid-silybin (HA-SIL) conjugate to target the TLR inflammatory pathway and enhance VCM's efficacy against bacterial sepsis. HA-SIL was synthesized and characterized by FT-IR, UV-Vis spectroscopy, and 1H NMR. The biomimetic properties of HA-SIL were confirmed via in silico (-73.35 kcal/mol) and in vitro (dissociation constant = 2.872 μM) binding affinity studies against TLR2. VCM-HA-SIL-Ps exhibited appropriate physicochemical properties, biocompatibility, and stability. VCM-HA-SIL-Ps sustained VCM release for 48 h, achieving 73.38 % cumulative release. In vitro antibacterial studies showed that VCM-HA-SIL-Ps had superior minimum inhibitory concentration against sensitive and resistant Staphylococcus aureus and faster bacterial killing, compared to free VCM. Additionally, VCM-HA-SIL-Ps demonstrated excellent DPPH radicals scavenging and effective anti-inflammatory activity on bacterial toxin-stimulated cells. Finally, in a mouse model of MRSA-induced sepsis, VCM-HA-SIL-Ps achieved 100 % bacterial eradication, significantly reduced pro-inflammatory markers (IL-6, TNF-α, IL-1β by 2.9-, 1.8-, and 5-fold, respectively), and minimized organ damage. Collectively, these findings demonstrate the potential of HA-SIL as a novel multifunctional adjuvant for effective antibiotic delivery against bacterial sepsis.

The Role of ChatGPT and AI Chatbots in Optimizing Antibiotic Therapy: A Comprehensive Narrative Review

Background/Objectives: Antimicrobial resistance represents a growing global health crisis, demanding innovative approaches to improve antibiotic stewardship. Artificial intelligence (AI) chatbots based on large language models have shown potential as tools to support clinicians, especially non-specialists, in optimizing antibiotic therapy. This review aims to synthesize current evidence on the capabilities, limitations, and future directions for AI chatbots in enhancing antibiotic selection and patient outcomes. Methods: A narrative review was conducted by analyzing studies published in the last five years across databases such as PubMed, SCOPUS, Web of Science, and Google Scholar. The review focused on research discussing AI-based chatbots, antibiotic stewardship, and clinical decision support systems. Studies were evaluated for methodological soundness and significance, and the findings were synthesized narratively. Results: Current evidence highlights the ability of AI chatbots to assist in guideline-based antibiotic recommendations, improve medical education, and enhance clinical decision-making. Promising results include satisfactory accuracy in preliminary diagnostic and prescriptive tasks. However, challenges such as inconsistent handling of clinical nuances, susceptibility to unsafe advice, algorithmic biases, data privacy concerns, and limited clinical validation underscore the importance of human oversight and refinement. Conclusions: AI chatbots have the potential to complement antibiotic stewardship efforts by promoting appropriate antibiotic use and improving patient outcomes. Realizing this potential will require rigorous clinical trials, interdisciplinary collaboration, regulatory clarity, and tailored algorithmic improvements to ensure their safe and effective integration into clinical practice.

Optimizing the production and efficacy of antimicrobial bioactive compounds from Streptomyces kanamyceticus in combating multi-drug-resistant pathogens

Background

The rise of antibiotic-resistant pathogens has intensified the search for novel antimicrobial agents. This study aimed to isolate Streptomyces kanamyceticus from local soil samples and evaluate its antimicrobial properties, along with optimizing the production of bioactive compounds.

Methods

Soil samples were collected from local regions, processed, and analysed for Streptomyces strains isolation using morphological characteristics and molecular identification through 16S rRNA gene PCR assay. Antimicrobial activity was assessed against Escherichia coli, Staphylococcus aureus, Bacillus subtilis, and Candida albicans using the double-layer method, while Minimum Inhibitory Concentration (MIC) values were determined. The extracted compounds underwent Fourier Transform Infrared Spectroscopy (FTIR) analysis for functional group identification. Optimization of bioactive compound production was performed using a Central Composite Design (CCD) coupled with Partial Least Squares Regression (PLSR).

Results

A total of 25 distinct Streptomyces strains were isolated, with seven confirmed as S. kanamyceticus. These strains exhibited antimicrobial activity, with inhibition zones reaching 30 mm and MIC values between 20 and 70 µg/mL. The extraction yielded 150-200 mL of bioactive compounds. Optimization studies revealed that a medium containing 10 g/L glucose and 10 g/L glycine max meal maximized antibiotic production.

Conclusion

This study confirmed that S. kanamyceticus is a promising source of novel antibiotics. The combination of microbial isolation, antimicrobial testing, and statistical optimization successfully enhanced the production of bioactive compounds, contributing to the search for effective antimicrobial agents against resistant pathogens.

Mechanical Ventilator-Associated Pneumonia in the COVID-19 Pandemic Era: A Critical Challenge in the Intensive Care Units

Background/Objectives: Ventilator-associated pneumonia (VAP) is the most common nosocomial infection encountered in the intensive care unit (ICU) and is associated with prolonged hospitalization and increased mortality. We evaluated the causative pathogens involved and their resistance to the major classes of antibiotics in patients with VAP and assessed the differences between patients with and without coronavirus disease 2019 (COVID-19). Materials and Methods: This study was a single-center, cross-sectional, retrospective analysis involving 122 patients who were hospitalized in the ICU of Târgu Mureș County Clinical Hospital from 1 April 2021, to 1 April 2023. This study compares patients with VAP in COVID-19 and non-COVID-19 groups, examining the clinical progression, duration of ventilation and hospitalization, mortality, pathogen distribution, and the emergence of multidrug-resistant strains. Results: A length of stay in the ICU exceeding 11.5 days was associated with the development of multidrug-resistant (MDR) infections (AUC: 0.708, p < 0.001). Similarly, a duration of MV exceeding 196 h was associated with MDR acquisition (AUC: 0.695, p = 0.002). Additionally, a Clinical Pulmonary Infection Score (CPIS) greater than 5 was associated with MDR development (AUC: 0.854, p < 0.001) in the whole group of patients. The most commonly isolated strains were Acinetobacter spp., Pseudomonas spp., Klebsiella spp., and Staphylococcus aureus. Among non-COVID-19 patients, there was a notably higher frequency of MDR Acinetobacter baumannii. A bacterial resistance to carbapenems was found in Acinetobacter spp. (51.6%), Klebsiella spp. (22.6%), and Pseudomonas spp. (25.8%). Conclusions: COVID-19 patients experienced longer ventilation, higher mortality, and an increased risk of developing MDR. Carbapenem resistance was universal in Acinetobacter spp. and Klebsiella pneumoniae, whereas resistance in Pseudomonas aeruginosa was more prevalent among non-COVID-19 patients. The Clinical Pulmonary Infection Score (CPIS) strongly correlates with developing MDR pathogens in both patient groups.

Whole genome sequencing (WGS) analysis of antimicrobial resistance (AMR) milk and dairy-derived pathogens from Anand, Gujarat, India

This study aimed to evaluate the antimicrobial resistance (AMR) patterns and genomic characteristics of Enterococcus faecalis, Enterococcus faecium, and Staphylococcus aureus strains isolated from dairy products, including buttermilk, curd, ice cream, and sweets, in the Anand region of Gujarat, India. A total of 205 isolates were analysed, with the highest contamination levels found in buttermilk and curd. The bacterial isolates were identified using biochemical tests and advanced Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) mass spectrometry. Antimicrobial susceptibility testing (AST) was performed using the Kirby-Bauer disk diffusion method, following CLSI guidelines, focusing on common antibiotics used for treating dairy-related bacterial infections. Resistance profiles were analysed using WHONET software.s The findings revealed significant multidrug resistance (MDR), particularly among E. faecium and E. faecalis, with over 95 % resistance to key antibiotics, including linezolid, ciprofloxacin, cefpodoxime, and carbapenems. Many strains were classified as MDR, XDR, and PDR. Staphylococcus aureus also exhibited substantial resistance to penicillin and enrofloxacin. whole-genome sequencing (WGS) and phylogenetic analysis to identify AMR determinants and conduct nucleotide sequence alignment. The study identified several antibiotic resistance genes, including LiaF, which regulates the expression of LiaR and LiaS genes. WGS revealed that genes such as GdpD, MprF, and PgsA encode intrinsic resistance determinants, contributing to antibiotic resistance. Additional AMR mechanisms were identified, including ABC transporter efflux pumps and the regulation of resistance genes by LiaR and LiaS. Phylogenetic analysis indicates a close relationship between Enterococcus faecium 640 1352.18624 and Enterococcus durans FB129-CNAB-4 883162.3.

The Nephroprotective Effect of Punica granatum Peel Extract on LPS-Induced Acute Kidney Injury

Sepsis is an exaggerated immune response resulting from systemic inflammation, which can damage tissues and organs. Acute kidney injury has been detected in at least one-third of patients with sepsis. Sepsis-associated acute kidney injury increases the risk of a secondary infection. Rapid diagnosis and appropriate initiation of antibiotics can significantly reduce mortality and morbidity. However, microorganisms are known to develop resistance to antibiotics. Estimations indicate that the annual casualties caused by microbial resistance will surpass cancer fatalities by 2050. The prevalence of bacterial infections and their growing antibiotic resistance has brought immediate attention to the search for novel treatments. Plant-derived supplements contain numerous bioactive components with therapeutic potential against a variety of conditions, including infections. Punica granatum peel is rich in phenolic compounds. The purpose of this study was to determine the anti-inflammatory and anti-bacterial properties of P. granatum peel extract (PGPE) on lipopolysaccharide (LPS)-induced acute kidney injury. Experimental groups were Control, LPS (10 mg/kg LPS, intraperitoneally), PGPE100, and PGPE300 (100 and 300 mg/mL PGPE via oral gavage, respectively, for 7 days). According to biochemical results, serum blood urea nitrogen (BUN), creatinine (Cr) and C-reactive protein (CRP), kidney tissue thiobarbituric acid reactive substances (TBARS), and reduced glutathione (GSH) levels significantly decreased in the PGPE groups compared to the LPS group. Histopathological and immunohistochemical findings revealed that toll-like receptor 4 (TLR4) level and nuclear factor kappa B (NF-κB) expression increased in the LPS group compared to the Control group. In addition, the anti-Gram-negative activity showed a dose-dependent effect on Acinetobacter baumannii, Escherichia coli, and Pseudomonas aeruginosa with the agar well diffusion method and the minimal inhibitory concentration (MIC). The MIC value was remarkable, especially on A. baumannii. We conclude that PGPE has the potential to generate desirable anti-bacterial and anti-inflammatory effects on LPS-induced acute kidney injury in rats.

Comparing NGS-Based identification of bloodstream infections to traditional culture methods for enhanced ICU care: a comprehensive study

Background

Accurate identification of infectious diseases using molecular techniques, such as PCR and NGS, is well-established. This study aims to assess the utility of Bactfast and Fungifast in diagnosing bloodstream infections in ICU settings, comparing them against traditional culture methods. The objectives include evaluating sensitivity and specificity and identifying a wide range of pathogens, including non-culturable species.

Methods

We collected 500 non-duplicate blood samples from ICU patients between January 2023 and December 2023. Specimens underwent traditional culture, MALDI-TOF, VITEK®2 compact system, and NGS-based Bactfast and Fungifast analyses.

Results

Out of the 500 samples, 26.8% (n=134) showed bacterial growth via traditional culture methods, while 4.8% (n=24) were positive for fungal growth. MALDI-TOF and VITEK®2 compact system yielded comparable results, identifying 26.4% (n=132) of specimens with bacterial growth. NGS-based Bactfast detected bacterial presence in 38.2% (n=191) of samples, including non-culturable bacteria missed by traditional methods. However, NGS-based Fungifast showed concordant fungal detection rates with culture methods. Among identified pathogens by culture method included Klebsiella pneumoniae 20.89% (n=28), Enterococcus faecalis 18.65% (n=25), Escherichia coli 15.67% (n=21), Pseudomonas aeruginosa 12.68% (n=17), Acinetobacter baumannii 10.44% (n=14), various Streptococcus species 7.46% (n=10), Mycobacterium tuberculosis 6.71% (n=9), Mycobacterium abscessus 4.47% (n=6), and Salmonella spp 2.98% (n=4). Non-culture-based NGS identified additional (n=33) pathogens, including Klebsiella pneumoniae 27.27% (n=9), Bacteroides fragilis 21.21% (n=7), Aerococcus viridans 15.15% (n=5), Elizabethkingia anopheles 12.12% (n=4), Aeromonas salmonicida 9% (n=3), Clostridium 9% (n=3), and Bacteroides vulgatus 6% (n=2). Candida albicans was reported in 5% (n=24) of samples by both methods.

Conclusion

NGS-based Bactfast and Fungifast demonstrate high sensitivity in identifying a wide array of bacterial and fungal pathogens in ICU patients, outperforming traditional culture methods in detecting non-culturable organisms. These molecular assays offer rapid and comprehensive diagnostic capabilities, potentially improving clinical outcomes through timely and accurate pathogen identification.

Enhancing acute inflammatory and sepsis treatment: superiority of membrane receptor blockade

Conditions such as acute pancreatitis, ulcerative colitis, delayed graft function and infections caused by a variety of microorganisms, including gram-positive and gram-negative organisms, increase the risk of sepsis and therefore mortality. Immune dysfunction is a characterization of sepsis, so timely and effective treatment strategies are needed. The conventional approaches, such as antibiotic-based treatments, face challenges such as antibiotic resistance, and cytokine-based treatments have shown limited efficacy. To address these limitations, a novel approach focusing on membrane receptors, the initiators of the inflammatory cascade, is proposed. Membrane receptors such as Toll-like receptors, interleukin-1 receptor, endothelial protein C receptor, μ-opioid receptor, triggering receptor expressed on myeloid cells 1, and G-protein coupled receptors play pivotal roles in the inflammatory response, offering opportunities for rapid regulation. Various membrane receptor blockade strategies have demonstrated efficacy in both preclinical and clinical studies. These membrane receptor blockades act as early stage inflammation modulators, providing faster responses compared to conventional therapies. Importantly, these blockers exhibit immunomodulatory capabilities without inducing complete immunosuppression. Finally, this review underscores the critical need for early intervention in acute inflammatory and infectious diseases, particularly those posing a risk of progressing to sepsis. And, exploring membrane receptor blockade as an adjunctive treatment for acute inflammatory and infectious diseases presents a promising avenue. These novel approaches, when combined with antibiotics, have the potential to enhance patient outcomes, particularly in conditions prone to sepsis, while minimizing risks associated with antibiotic resistance and immune suppression.

Bundle care approach to reduce device associated infections in post-living-donor-liver transplantation in a tertiary care hospital, Egypt

BACKGROUND

Device-associated infections (DAIs) are a significant cause of morbidity following living donor liver transplantation (LDLT). We aimed to assess the impact of bundled care on reducing rates of device-associated infections.

METHODS

We performed a before-and-after comparative study at a liver transplantation facility over a three-year period, spanning from January 2016 to December 2018. The study included a total of 57 patients who underwent LDLT. We investigated the implementation of a care bundle, which consists of multiple evidence-based procedures that are consistently performed as a unified unit. We divided our study into three phases and implemented a bundled care approach in the second phase. Rates of pneumonia related to ventilators [VAP], bloodstream infections associated with central line [CLABSI], and urinary tract infections associated with catheters [CAUTI] were assessed throughout the study period. Bacterial identification and antibiotic susceptibility testing were performed using the automated Vitek-2 system. The comparison between different phases was assessed using the chi-square test or the Fisher exact test for qualitative values and the Kruskal-Wallis H test for quantitative values with non-normal distribution.

RESULTS

In the baseline phase, the VAP rates were 73.5, the CAUTI rates were 47.2, and the CLABSI rates were 7.4 per one thousand device days (PDD). During the bundle care phase, the rates decreased to 33.3, 18.18, and 4.78. In the follow-up phase, the rates further decreased to 35.7%, 16.8%, and 2.7% PDD. The prevalence of Klebsiella pneumonia (37.5%) and Methicillin resistance Staph aureus (37.5%) in VAP were noted. The primary causative agent of CAUTI was Candida albicans, accounting for 33.3% of cases, whereas Coagulase-negative Staph was the predominant organism responsible for CLABSI, with a prevalence of 40%.

CONCLUSION

This study demonstrates the effectiveness of utilizing the care bundle approach to reduce DAI in LDLT, especially in low socioeconomic countries with limited resources. By implementing a comprehensive set of evidence-based interventions, healthcare systems can effectively reduce the burden of DAI, enhance infection prevention strategies and improve patient outcomes in resource-constrained settings.

Comparative Analysis of C-reactive Protein and Procalcitonin as Biomarkers for Prognostic Assessment in Pediatric Sepsis

Background Sepsis poses a critical medical challenge due to its profound systemic inflammatory response, which frequently results in organ dysfunction and high mortality rates, especially in pediatric patients. The condition requires prompt recognition and aggressive management to mitigate its severe outcomes. Methods This prospective study enrolled 248 pediatric patients admitted with sepsis to the pediatric intensive care unit (PICU) at our tertiary care center. Patients were randomly assigned to either the C-reactive protein (CRP) or procalcitonin (PCT) groups, with biomarker levels measured upon admission (hour zero) and again at 72 hours post-admission. Clinical parameters such as the need for ionotropic support, use of steroids, incidence of acute kidney injury (AKI), requirement for invasive ventilation, patient outcomes, and changes in antibiotic management were assessed based on these biomarker levels. Results Procalcitonin-positive sepsis cases demonstrated notable clinical severity compared to their C-reactive protein counterparts, showing significantly lower systolic blood pressure (p = 0.012), heightened need for ionotropic support (p < 0.0001), and more pronounced liver and renal dysfunction as indicated by elevated serum bilirubin (p = 0.001) and creatinine levels (p = 0.0058). The incidence of AKI was also higher in procalcitonin-positive cases. Despite these severe clinical parameters, there were no significant differences in the length of the PICU stay or in patient outcomes concerning discharge and mortality rates. Procalcitonin levels effectively guided antibiotic management, resulting in therapy adjustments in a substantial proportion of cases, with 67 (54%) experiencing downgrades and 33 (27%) requiring upgrades based on procalcitonin levels measured 72 hours post-admission. Conclusion Procalcitonin proves to be a valuable biomarker in assessing the severity and management of sepsis in pediatric patients. It correlates significantly with clinical parameters such as blood pressure, the need for ionotropic support, and markers of organ dysfunction.

Implementation of Modern Therapeutic Drug Monitoring and Lipidomics Approaches in Clinical Practice: A Case Study with Colistin Treatment

Nowadays, lipidomics plays a crucial role in the investigation of novel biomarkers of various diseases. Its implementation into the field of clinical analysis led to the identification of specific lipids and/or significant changes in their plasma levels in patients suffering from cancer, Alzheimer's disease, sepsis, and many other diseases and pathological conditions. Profiling of lipids and determination of their plasma concentrations could also be helpful in the case of drug therapy management, especially in combination with therapeutic drug monitoring (TDM). Here, for the first time, a combined approach based on the TDM of colistin, a last-resort antibiotic, and lipidomic profiling is presented in a case study of a critically ill male patient suffering from Pseudomonas aeruginosa-induced pneumonia. Implementation of innovative analytical approaches for TDM (online combination of capillary electrophoresis with tandem mass spectrometry, CZE-MS/MS) and lipidomics (liquid chromatography-tandem mass spectrometry, LC-MS/MS) was demonstrated. The CZE-MS/MS strategy confirmed the chosen colistin drug dosing regimen, leading to stable colistin concentrations in plasma samples. The determined colistin concentrations in plasma samples reached the required minimal inhibitory concentration of 1 μg/mL. The complex lipidomics approach led to monitoring 545 lipids in collected patient plasma samples during and after the therapy. Some changes in specific individual lipids were in good agreement with previous lipidomics studies dealing with sepsis. The presented case study represents a good starting point for identifying particular individual lipids that could correlate with antimicrobial and inflammation therapeutic management.

AMPActiPred: A three-stage framework for predicting antibacterial peptides and activity levels with deep forest

The emergence and spread of antibiotic-resistant bacteria pose a significant public health threat, necessitating the exploration of alternative antibacterial strategies. Antibacterial peptide (ABP) is a kind of antimicrobial peptide (AMP) that has the potential ability to fight against bacteria infection, offering a promising avenue for developing novel therapeutic interventions. This study introduces AMPActiPred, a three-stage computational framework designed to identify ABPs, characterize their activity against diverse bacterial species, and predict their activity levels. AMPActiPred employed multiple effective peptide descriptors to effectively capture the compositional features and physicochemical properties of peptides. AMPActiPred utilized deep forest architecture, a cascading architecture similar to deep neural networks, capable of effectively processing and exploring original features to enhance predictive performance. In the first stage, AMPActiPred focuses on ABP identification, achieving an Accuracy of 87.6% and an MCC of 0.742 on an elaborate dataset, demonstrating state-of-the-art performance. In the second stage, AMPActiPred achieved an average GMean at 82.8% in identifying ABPs targeting 10 bacterial species, indicating AMPActiPred can achieve balanced predictions regarding the functional activity of ABP across this set of species. In the third stage, AMPActiPred demonstrates robust predictive capabilities for ABP activity levels with an average PCC of 0.722. Furthermore, AMPActiPred exhibits excellent interpretability, elucidating crucial features associated with antibacterial activity. AMPActiPred is the first computational framework capable of predicting targets and activity levels of ABPs. Finally, to facilitate the utilization of AMPActiPred, we have established a user-friendly web interface deployed at https://awi.cuhk.edu.cn/∼AMPActiPred/.

Antibacterial and Wound Healing Efficacy of Silver Nanoparticles Synthesized from Root Bark of Berberis lycium Royle

Infectious diseases are becoming a worldwide threat due to antibiotic resistance. Therefore, it is necessary to prepare innovative antibiotics against bactericidal activities. The development of nanomedicine has been greatly aided by nanotechnology. A focal point of exploration involves the production of noble metal nanoparticles, owing to their diverse applications. The study's subjects are the synthesis, characterization, and assessment of silver nanoparticles (AgNPs) derived from Berberis lyceum Royle root bark (BLR) extract. The study revealed the potent antibacterial properties of BLR‐AgNPs, with heightened efficacy against S. pyogenes (16.7±0.3 mm) and comparatively lower activity against E. coli (1.1±0.1 mm). Minimum inhibitory concentration assessment indicated maximum activity at 10 μg/mL, whereas 2.5 μg/mL demonstrated the least inhibitory effect. Furthermore, the wound healing potential of BLR‐AgNPs was explored, demonstrating superior activity (0.19±0.02 cm) equated to BLR‐extract (0.46±0.02 cm) and untreated wounds (0.77±0.02 cm). These findings underscore the considerable antibacterial and wound‐healing capabilities of BLR‐AgNPs.

Inflammaging in Multidrug-Resistant Sepsis of Geriatric ICU Patients and Healthcare Challenges

Multidrug-resistant sepsis (MDR) is a pressing concern in intensive care unit (ICU) settings, specifically among geriatric patients who experience age-related immune system changes and comorbidities. The aim of this review is to explore the clinical impact of MDR sepsis in geriatric ICU patients and shed light on healthcare challenges associated with its management. We conducted a comprehensive literature search using the National Center for Biotechnology Information (NCBI) and Google Scholar search engines. Our search incorporated keywords such as "multidrug-resistant sepsis" OR "MDR sepsis", "geriatric ICU patients" OR "elderly ICU patients", and "complications", "healthcare burdens", "diagnostic challenges", and "healthcare challenges" associated with MDR sepsis in "ICU patients" and "geriatric/elderly ICU patients". This review explores the specific risk factors contributing to MDR sepsis, the complexities of diagnostic challenges, and the healthcare burden faced by elderly ICU patients. Notably, the elderly population bears a higher burden of MDR sepsis (57.5%), influenced by various factors, including comorbidities, immunosuppression, age-related immune changes, and resource-limited ICU settings. Furthermore, sepsis imposes a significant economic burden on healthcare systems, with annual costs exceeding $27 billion in the USA. These findings underscore the urgency of addressing MDR sepsis in geriatric ICU patients and the need for tailored interventions to improve outcomes and reduce healthcare costs.

Risk Factors and Outcomes of Community-Acquired Carbapenem-Resistant Klebsiella pneumoniae Infection in Elderly Patients

The increasing prevalence of carbapenem-resistant Klebsiella pneumoniae (CRKP) infections is a global concern. Elderly patients have a diminished immune response and functional reserve, and are thus more vulnerable to bacterial infection. This study aimed to investigate the risk factors and outcomes in elderly patients with community-acquired CRKP infections. We performed a retrospective cohort study in a tertiary medical center between 1 January 2021, and 31 December 2021. All elderly patients who visited the emergency department during this period with culture-positive K. pneumoniae were enrolled, and their baseline demographics, laboratory profiles, management strategies, and outcomes were recorded and analyzed. We identified 528 elderly patients with K. pneumonia infection, and the proportion of patients with CRKP infection was 10.2% (54/528). Recent intensive care unit (ICU) admission and prior carbapenem use are independent risk factors for CRKP infection in elderly patients. Compared to patients with carbapenem-sensitive K. pneumoniae infection, those with CRKP infection had a significantly higher risk of adverse outcomes, including ICU care, respiratory failure, septic shock, and 90-day mortality. CRKP infection was also identified as an independent risk factor for 90-day mortality. Clinicians should be aware of the increasing prevalence of CRKP infections in elderly patients and judiciously choose appropriate antibiotics for these patients.

Antiseptic Functions of CGK012 against HMGB1-Mediated Septic Responses

High mobility group box 1 (HMGB1), a protein with important functions, has been recognized as a potential therapeutic target for the treatment of sepsis. One possible mechanism for this is that inhibiting HMGB1 secretion can exert antiseptic effects, which can restore the integrity of the vascular barrier. (7S)-(+)-cyclopentyl carbamic acid 8,8-dimethyl-2-oxo-6,7-dihydro-2H,8H-pyrano[3,2-g]chromen-7-yl-ester (CGK012) is a newly synthesized pyranocoumarin compound that could function as a novel small-molecule inhibitor of the Wnt/β-catenin signaling pathway. However, no studies have yet determined the effects of CGK012 on sepsis. We investigated the potential of CGK012 to attenuate the excessive permeability induced by HMGB1 and enhance survival rates in a mouse model of sepsis with reduced HMGB1 levels following lipopolysaccharide (LPS) treatment. In both LPS-stimulated human endothelial cells and a mouse model exhibiting septic symptoms due to cecal ligation and puncture (CLP), we assessed proinflammatory protein levels and tissue damage biomarkers as indicators of reduced vascular permeability. CGK012 was applied after induction in human endothelial cells exposed to LPS and the CLP-induced mouse model of sepsis. CGK012 effectively mitigated excessive permeability and suppressed HMGB1 release, resulting in improved vascular stability, decreased mortality, and enhanced histological conditions in the mouse model of CLP-induced sepsis. In conclusion, our findings indicate that CGK012 treatment in mice with CLP-induced sepsis diminished HMGB1 release and increased the survival rate, suggesting its potential as a pharmaceutical intervention for sepsis.