Surveillance results of nosocomial infections of the ICU in Kenézy Hospital, based on two years data

Orosi, Piroska; Farkas, A.; Berkes, Ibolya; Nagy, Gyöngyi; Szentkereszty, Zoltán; Malyi, K. D.; Dán, Anikó

doi:10.1556/oh.2007.28010

Cited by 3 publications

(3 citation statements)

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“…Although we did not ascertain this correlation as a part of this study, our previous studies corresponding to the UTIs described in patients aged ≥65 years of age, and in male patients (whom are affected by complicated UTIs, usually in advanced ages) have both shown higher rates of resistance to UTI-specific drugs (nitrofurantoin, fosfomycin), 3GCs, fluoroquinolones, and a higher prevalence of MDR isolates overall, compared to the general population [59,60]. The burden of UTIs in healthcare-associated infections has been highlighted by a nosocomial surveillance study in a ~1600-bed hospital in Eastern Hungary, where 21.1% of such infections were UTIs during the study period (2004)(2005)(2006) [61]. In addition, a study by Bánhidy et al reported that 5.7% of mothers were affected by UTIs during pregnancy, and these pregnancies had a higher proportion of preterm births (10.4% vs. 9.1%) [62].…”

Section: Discussionmentioning

confidence: 99%

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

Gajdács

Bátori

Burián

2021

Life

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The global emergence of antimicrobial resistance (AMR) has become a critical issue for clinicians, as it puts the decades of developments in the medical field in jeopardy, by severely limiting the useful therapeutic arsenal of drugs, both in nosocomial and community-acquired infections. In the present study, a secondary analysis of taxonomic and resistance data was performed, corresponding to urinary tract infections (UTIs) caused by Gram-negative bacteria, detected between 1 January 2008 to 31 December 2017 at the Albert Szent-Györgyi Health Center, University of Szeged. The following were identifiable from the data collected: year of isolation; outpatient (OP)/inpatient (IP) origin of the isolate; taxonomy; and susceptibility/resistance to selected indicator antibiotics. Principal component analysis (PCA) and a correlation matrix were used to determine the association between the presences of resistance against indicator antibiotics in each taxonomic group. Overall, data from n = 16,240 outpatient and n = 13,964 inpatient Gram-negative UTI isolates were included in the data analyses. In E. coli, strong positive correlations were seen between resistance to ciprofloxacin (CIP) and gentamicin (GEN) resistance (OP: r = 0.6342, p = 0.049; IP: r = 0.9602, p < 0.001), whereas strong negative correlations were shown for fosfomycin (FOS) and nitrofurantoin (NIT) resistance (OP: r= −0.7183, p = 0.019; IP: r= −0.7437; p = 0.014). For Klebsiella spp. isolates, CIP resistance showed strong positive correlation with resistance to third-generation cephalosporins (3GC) and GEN (r = 0.7976, p = 0.006 and r = 0.7428, p = 0.014, respectively) in OP isolates, and with resistance to trimethoprim-sulfamethoxazole (SXT) and FOS (r = 0.8144, p = 0.004 and r = 0.7758, p < 0.001, respectively) in IP isolates. For members of the Citrobacter-Enterobacter-Serratia group, the resistance among indicator antibiotics showed a strong positive correlation, with the exception of FOS resistance. In the Proteus-Providencia-Morganella group, the strongest association was noted between CIP and SXT resistance (OP: r = 0.9251, p < 0.001; IP: r = 0.8007; p = 0.005). In the case of OP Acinetobacter spp., CIP showed strong and significant positive correlations with most indicator antibiotics, whereas for IP isolates, strong negative correlations arose among imipenem (IMI) resistance and resistance to other drugs. For Pseudomonas spp., strong and positive correlations were noted among resistance to β-lactam antibiotics and aminoglycosides, with the exception of ceftazidime (CEFT), showing strong, but negative correlations. Though molecular tests and sequencing-based platforms are now considered as the gold-standard for AMR surveillance, standardized collection of phenotypic resistance data and the introduction of Big Data analytic methods may be a viable alternative for molecular surveillance, especially in low-resource settings.

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Section: Discussionmentioning

confidence: 99%

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

Gajdács

Bátori

Burián

2021

Life

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“…Disinfection is divided into disinfection of a high, medium and low level (Friedman, Newsom, 2007). Disinfection of the surfaces is one of the most important hygienic procedures in a hospital on which safety of patients and the medical stuff depends (Orosi et al, 2007). The aim of constant cleaning and disinfection of the premises is to put a stop to the spread of the agents of a disease in examining, treating and nursing the patient (Lithuanian hygiene norm HN 47-1:2010HN 47-1: , 2010Eckstein et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Surface Hygiene of the Surrounding Objects in a University Hospital

Petruševičienė¹,

Gierasimovič²,

Gailienė³

et al. 2020

Reabilitacijos mokslai

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Research background. Hygiene of the surfaces means a clean environment of a hospital, especially that of a patient, which consists of constant basic cleaning and disinfection. The registration, analysis and storage of data on cleaning, disinfecting the surrounding objects is a successful stage in ensuring clean surfaces. The registration of documents and the cleaning and disinfecting schedule help to determine the tender spots in the surface cleaning. It makes easy to establish the surface hygiene violations, participation of the nursing and auxiliary staff in disinfecting the surfaces, problems related to the surface disinfection, and make the analysis of the mistakes made easier. The aim of the study. To assess a 2009–2011 hygienic preparation of medical surfaces, which have an effect on the transmission of the hospital-acquired infection, and the efficiency of the preventative measures. Methods. The survey was conducted in university hospital in 2009–2011. To evaluate the surface hygiene of the environmental objects the test of the remains of biological contamination was chosen using the chemical means HemoCheck-S™. The accuracy of the test is 0.1 µq of the remains of biological contamination on the surfaces under investigation. The results are evaluated by calculating the amount of denatured biological contamination from the highest concentration to 0. The surface contamination is evaluated in points from “0” to “5”, where “0” is no contamination (medical surface is fully prepared for a procedure), and “5” is maximum contamination (100 µq, maximum contamination shown by the HemoCheck-S™ test). Results. Investigation shows that the surfaces belonging to the low-risk group are contaminated most heavily. The analysis of the investigations carried out during three years leads us to the conclusion that during the time of cleaning the surface, the staff fails to observe the sequence and do not change soft inventory (napkins) intended for cleaning. This is testified by presence of biological contamination in the low-risk group: switch-boards on the patients’ beds, cupboards and drip mounts. Conclusions. Insufficient hygiene of high, medium risk and often touched surfaces and surfaces of nursing measures was established. The inadequate preparation of the medical surfaces was most often made in the Intensive Care Intensive Therapy units.Keywords: hygienic preparation; medical surfaces; the hospital-acquired infection.

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“…According to a recent report by Orosi, the most common kind of nosocomial bacteremia is relating to respiratory tract infection not blood stream infection. [ 2 ] To manage CRBSI is very important. Good prevention and control program for this problem must be implemented in each hospital.…”

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confidence: 99%

Catheter-related infections

Yasri¹,

Wiwanitkit

2015

Int J Crit Illn Inj Sci

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Surveillance results of nosocomial infections of the ICU in Kenézy Hospital, based on two years data

Cited by 3 publications

References 8 publications

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years’ Worth of Antibiogram Data

Evaluation of Surface Hygiene of the Surrounding Objects in a University Hospital

Catheter-related infections

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