METHODOLOGY: A follow-up in prospective cohort surveillance was conducted on patients admitted to an adult medical-surgical ICU of a university hospital and two governmental hospitals in Malaysia from October 2003 to December 2006. VAP was detected using CDC criteria which included clinical manifestation and confirmed endotracheal secretion culture results.
RESULTS: In total, 215 patients (2,306 patient-days) were enrolled into the study. The incidence of ICU-acquired device-related NI was 29.3 % (n = 63). The device-related VAP infection rate was 27.0 % (n = 58), with a mechanical ventilator utilization rate of 88.7%. The death rate due to all ICU-acquired NI including sepsis was 6.5%. The most common causative pathogen was Klebsiella pneumoniae (n = 27). Multivariate analysis using Cox regression showed that the risk factors identified were aspiration pneumonia (HR = 4.09; 95% CI = 1.24, 13.51; P = 0.021), cancer (HR = 2.51; 95% CI = 1.27, 4.97; P = 0.008), leucocytosis (HR=3.43; 95% CI= 1.60, 7.37; P=0.002) and duration of mechanical ventilation (HR=1.04; 95% CI = 1.00, 1.08; P = 0.030). Age, gender and race were not identified as risk factors in the multivariable analysis performed.
CONCLUSION: The incidence of VAP was comparable to that found in the National Nosocomial Infection Surveillance (NNIS) System report of June 1998. The incidence of VAP was considered high for the three hospitals studied.
METHODS: During the 6-year study period, using Centers for Disease Control and Prevention National Healthcare Safety Network (CDC-NHSN) definitions for device-associated health care-associated infection (DA-HAI), we collected prospective data from 861,284 patients hospitalized in INICC hospital ICUs for an aggregate of 3,506,562 days.
RESULTS: Although device use in INICC ICUs was similar to that reported from CDC-NHSN ICUs, DA-HAI rates were higher in the INICC ICUs: in the INICC medical-surgical ICUs, the pooled rate of central line-associated bloodstream infection, 4.1 per 1,000 central line-days, was nearly 5-fold higher than the 0.8 per 1,000 central line-days reported from comparable US ICUs, the overall rate of ventilator-associated pneumonia was also higher, 13.1 versus 0.9 per 1,000 ventilator-days, as was the rate of catheter-associated urinary tract infection, 5.07 versus 1.7 per 1,000 catheter-days. From blood cultures samples, frequencies of resistance of Pseudomonas isolates to amikacin (29.87% vs 10%) and to imipenem (44.3% vs 26.1%), and of Klebsiella pneumoniae isolates to ceftazidime (73.2% vs 28.8%) and to imipenem (43.27% vs 12.8%) were also higher in the INICC ICUs compared with CDC-NHSN ICUs.
CONCLUSIONS: Although DA-HAIs in INICC ICU patients continue to be higher than the rates reported in CDC-NSHN ICUs representing the developed world, we have observed a significant trend toward the reduction of DA-HAI rates in INICC ICUs as shown in each international report. It is INICC's main goal to continue facilitating education, training, and basic and cost-effective tools and resources, such as standardized forms and an online platform, to tackle this problem effectively and systematically.
MATERIALS & METHODS: This study was conducted in Hospital Kuala Lumpur, Malaysia from January 2016 to December 2017. A total of 303 isolates were included in this study which was obtained from 238 patients. The patients' microbiological worksheets and medical notes were reviewed to determine the antimicrobial susceptibility patterns, demographic data, classification of infection, and outcome (survival versus death).
RESULTS: Most of the patients were in the age group of one to less than five years old (41%) with 58% male and 85% Malay patients. Common causes of BSI were Staphylococcus aureus (17%), followed by Klebsiella pneumoniae (15%), Acinetobacter baumanii (10%), Pseudomonas aeruginosa (10%), and Escherichia coli (6%). Sixty percent of BSI episodes were caused by gram-negative bacteria, 34% by gram-positive bacteria, and 6% by fungi. Most of the infections were classified as hospital-acquired infections (72%), followed by healthcareassociated (20%) and community-acquired infections (8%). There were 33% of methicillin-resistant Staphylococcus aureus, 53% of extended-spectrum beta-lactamase (ESBL) producing Klebsiella pneumoniae, and 33% ESBL producing Escherichia coli. The overall case fatality rate (CFR) was 27% with the highest CFR caused by Serratia marcescens (53.3%).
CONCLUSIONS: The majority of paediatric bloodstream infections are hospital-acquired. Improvement in prevention strategies and revisions in antibiotic policies are important to overcome it.
MATERIALS AND METHODS: Three hundred and four isolates of E. coli and Klebsiella sp. had been selected via convenient sampling. These isolates were identified using conventional laboratory methods and their antimicrobial susceptibilities were determined using disc diffusion method. Those isolates were then proceeded with ESBL confirmatory test, cloxacillin-containing Muller Hinton confirmatory test, modified double disk synergy test and AmpC disk test.
RESULTS: Out of 304 isolates, 159 isolates were E. coli and 145 were Klebsiella sp. The prevalence of organisms which co-produced AmpC β-lactamase and ESBL enzymes were 3.0%. Besides that, 39 cefoxitin resistant and three cefoxitin susceptible isolates (13.8%) were proven to produce AmpC β-lactamase through AmpC disk test. Through the CLSI confirmatory test, 252 (82.9%) isolates were identified as ESBLs producers and the prevalence increased slightly when cloxacillin-containing Muller Hinton were used. Only three ESBLs positive organisms were positive for modified double disk synergy test.
CONCLUSION: Distinguishing between AmpC β-lactamase and ESBL-producing organisms has epidemiological significance as well as therapeutic importance. Moreover, AmpC β-lactamase and ESBLs co-producing organisms can lead to false negative ESBL confirmatory test. Therefore, knowing the local prevalence can guide the clinician in navigating the treatment.
METHODS: We implemented a strategy involving a 9-element bundle, education, surveillance of CAUTI rates and clinical outcomes, monitoring compliance with bundle components, feedback of CAUTI rates and performance feedback. This was executed in 299 ICUs across 32 low- and middle-income countries. The dependent variable was CAUTI per 1,000 UC days, assessed at baseline and throughout the intervention, in the second month, third month, 4 to 15 months, 16 to 27 months, and 28 to 39 months. Comparisons were made using a 2-sample t test, and the exposure-outcome relationship was explored using a generalized linear mixed model with a Poisson distribution.
RESULTS: Over the course of 978,364 patient days, 150,258 patients utilized 652,053 UC-days. The rates of CAUTI per 1,000 UC days were measured. The rates decreased from 14.89 during the baseline period to 5.51 in the second month (risk ratio [RR] = 0.37; 95% confidence interval [CI] = 0.34-0.39; P