Device - Associated Infections and Antimicrobial Resistance Patterns of Isolated Pathogens in Surgical Intensive Care Unit at Ain Sham University Hospital = العدوى المرتبطة بالأجهزة الطبية و أنماط مقاومة العزلات الممرضة للمضادات الحيوية في الرعاية المركزة للجراحة بمستشفى جامعة عين شمس

2014 ◽  
Vol 23 (4) ◽  
pp. 17-26 ◽  
Author(s):  
Maha Salah El-Din Hamdy ◽  
Marwa Shabban ◽  
Ahmed Kamal Mohamed
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Antimicrobial Resistance ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Resistance Patterns

scholarly journals Comparison of Automated Strategies for Surveillance of Nosocomial Bacteremia

2007 ◽  
Vol 28 (9) ◽  
pp. 1030-1035 ◽  
Author(s):  
Cristina Bellini ◽  
Christiane Petignat ◽  
Patrick Francioli ◽  
Aline Wenger ◽  
Jacques Bille ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Data ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Automated Surveillance ◽  
Contaminated Blood ◽  
Hospital Acquired

Objective.Surveillance of nosocomial bloodstream infection (BSI) is recommended, but time-consuming. We explored strategies for automated surveillance.Methods.Cohort study. We prospectively processed microbiological and administrative patient data with computerized algorithms to identify contaminated blood cultures, community-acquired BSI, and hospital-acquired BSI and used algorithms to classify the latter on the basis of whether it was a catheter-associated infection. We compared the automatic classification with an assessment (71% prospective) of clinical data.Setting.An 850-bed university hospital.Participants.All adult patients admitted to general surgery, internal medicine, a medical intensive care unit, or a surgical intensive care unit over 3 years.Results.The results of the automated surveillance were 95% concordant with those of classical surveillance based on the assessment of clinical data in distinguishing contamination, community-acquired BSI, and hospital-acquired BSI in a random sample of 100 cases of bacteremia. The two methods were 74% concordant in classifying 351 consecutive episodes of nosocomial BSI with respect to whether the BSI was catheter-associated. Prolonged episodes of BSI, mostly fungemia, that were counted multiple times and incorrect classification of BSI clinically imputable to catheter infection accounted for 81% of the misclassifications in automated surveillance. By counting episodes of fungemia only once per hospital stay and by considering all cases of coagulase-negative staphylococcal BSI to be catheter-related, we improved concordance with clinical assessment to 82%. With these adjustments, automated surveillance for detection of catheter-related BSI had a sensitivity of 78% and a specificity of 93%; for detection of other types of nosocomial BSI, the sensitivity was 98% and the specificity was 69%.Conclusion.Automated strategies are convenient alternatives to manual surveillance of nosocomial BSI.

scholarly journals AChE-activity in critically ill patients with suspected septic encephalopathy: a prospective, single-centre study

2020 ◽  
Author(s):  
Benedikt Zujalovic ◽  
Benjamin Mayer ◽  
Sebastian Hafner ◽  
Florian Balling ◽  
Eberhard Barth
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Repeated Measures ◽  
Acetylcholinesterase Activity ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Baseline Values

Abstract Background In consequence of systemic inflammation, up to 70% of septic patients develop a diffuse brain dysfunction, accompanying with an increase in mortality, which is referred to as “septic associated encephalopathy”. Subsuming septic associated encephalopathy as a category of delirium, there is a common pathophysiology (neuro-inflammation and cholinergic transmitter imbalance). This can be approximated by measuring the acetylcholinesterase activity as a surrogate parameter of cholinergic activity. However, conflicting results for acetylcholinesterase activity exists, if single-point measurements have been done. Therefore, we wanted to test the hypothesis, whether longitudinal analysis of acetylcholinesterase activity in Intensive Care Unit patients displays septic associated encephalopathy/delirium in septic patients and reveals significant differences in comparison with non-septic, critically ill patients.Methods In this prospective, observational, single-center study, 175 patients, admitted to the surgical Intensive Care Unit of the University hospital Ulm, Germany, were included. Patients were divided into septic (n = 45) and non-septic (n = 130) patients and were screened for delirium/cognitive dysfunction. Subgroups for patients with delirium and altered acetylcholinesterase activity were built, dependent if an increase/decrease of the acetylcholinesterase activity was observed. Acetylcholinesterase activity was analysed over the course of time by using a linear regression model accounting for repeated measures. By using a time adjusted model, the effect of further possible predictors of acetylcholinesterase activity was analyzed. For nonparametric distributions, quantitative data were compared using Wilcoxon matched-pairs test. For the analysis of the independent samples, we used the Mann-Whitney test. Results There was a statistically significant, time-dependent change in acetylcholinesterase activity (decrease/increase) over a period of at least 5 days in septic patients which revealed septic associated encephalopathy/delirium in about 90%.Conclusion The longitudinal measurement of acetylcholinesterase activity over several consecutive days revealed a shift compared to baseline values exclusively in septic patients with septic associated encephalopathy/delirium. Acetylcholinesterase activity alteration compared to baseline values at the onset of sepsis may help to detect and differentiate septic associated encephalopathy from other delirium entities.Trial registration Retrospectively registered at German Clincial Trials Register, registration number DRKS 00020542, date of registration: January 27, 2020

Spectrum of microbes and antimicrobial resistance in a surgical intensive care unit, Barbados

2003 ◽  
Vol 31 (5) ◽  
pp. 280-287 ◽  
Author(s):  
Seetharaman Hariharan ◽  
Srikrishna B. Nanduri ◽  
Harley S.L. Moseley ◽  
Kumar Y. Areti ◽  
Ramesh Jonnalagadda
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Antimicrobial Resistance ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care
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