10 research outputs found
Global prevalence of nosocomial infection: A systematic review and meta-analysis
Get PDFObjectives: Hospital-acquired infections (HAIs) are significant problems as public health issues which need attention. Such infections are significant problems for society and healthcare organizations. This study aimed to carry out a systematic review and a meta-analysis to analyze the prevalence of HAIs globally.  Methods: We conducted a comprehensive search of electronic databases including EMBASE, Scopus, PubMed and Web of Science between 2000 and June 2021. We found 7031 articles. After removing the duplicates, 5430 studies were screened based on the titles/abstracts. Then, we systematically evaluated the full texts of the 1909 remaining studies and selected 400 records with 29,159,630 participants for meta-analysis. Random-effects model was used for the analysis, and heterogeneity analysis and publication bias test were conducted.  Results: The rate of universal HAIs was 0.14 percent. The rate of HAIs is increasing by 0.06 percent annually. The highest rate of HAIs was in the AFR, while the lowest prevalence were in AMR and WPR. Besides, AFR prevalence in central Africa is higher than in other parts of the world by 0.27 (95% CI, 0.22-0.34). Besides, E. coli infected patients more than other micro-organisms such as Coagulase-negative staphylococci, Staphylococcus spp. and Pseudomonas aeruginosa. In hospital wards, Transplant, and Neonatal wards and ICU had the highest rates. The prevalence of HAIs was higher in men than in women.  Conclusion: We identified several essential details about the rate of HAIs in various parts of the world. The HAIs rate and the most common micro-organism were different in various contexts. However, several essential gaps were also identified. The study findings can help hospital managers and health policy makers identify the reason for HAIs and apply effective control programs to implement different plans to reduce the HAIs rate and the financial costs of such infections and save resources
Antibiotic resistance pattern and assessment of Temorina gene in clinical strains of extendedspectrum beta-lactamase enzyme producing Escherichia coli isolated from patients, Babol City, Mazandaran Province
Get PDFIntroduction: Escherichia coli (E. coli) bacteria are a common cause of various clinical infections.
Resistance of this bacteria to several common antibiotics due to production of extended spectrum betalactamase (ESBL) enzyme has caused therapeutic problems. The aim of this study was to determine the
resistance pattern to beta-lactam antibiotics and also to assess the Temorina (TEM) gen in the E. coli
strains isolated from the patients in Babol, Iran.
Methods: This cross-sectional study was conducted in 2014 at Babol County, Iran. The E. coli strains
were isolated and identified by standard laboratory tests. The sensitivity test to beta-lactam antibiotics
was performed by combined disk method. The TEM gene was identified in the resistant strains by the
polymerase chain reaction (PCR) method. The data were analyzed by SPSS 20 and by using T-test and
Chi-squared tests.
Results: Of the 10,341 clinical samples, 525 E. coli isolated of which 200 (38%) were ESBL-producing
strains. Piperacillin-tazobactam, amikacin, ampicillin-sulbactam and ampicillin (98%, 90.33%, 86.4% and
76.60%, respectively) had the most inhibition effect on the strains. Highest antibiotic resistance was
observed for ceftriaxone (43.80%) and ciprofloxacin (38.74%). PCR showed that 80% (n=160) of the
resistant strains had the TEM gene. There was a significant correlation between TEM gene and the
production of ESBL (P < 0.05).
Conclusion: Resistance to antibiotics was observed in this study. Resistant and ESBL-producing strains of
E. coli had TEM gene. The clinicians should be aware of antibiotic resistant pattern to choose effective
medicines for treatment of these infections.
Keywords: Escherichia coli Antibiotic resistance pattern Extended-spectrum beta-lactamase Temorin
Global prevalence of nosocomial infection: A systematic review and meta-analysis.
No full textObjectivesHospital-acquired infections (HAIs) are significant problems as public health issues which need attention. Such infections are significant problems for society and healthcare organizations. This study aimed to carry out a systematic review and a meta-analysis to analyze the prevalence of HAIs globally.MethodsWe conducted a comprehensive search of electronic databases including EMBASE, Scopus, PubMed and Web of Science between 2000 and June 2021. We found 7031 articles. After removing the duplicates, 5430 studies were screened based on the titles/ abstracts. Then, we systematically evaluated the full texts of the 1909 remaining studies and selected 400 records with 29,159,630 participants for meta-analysis. Random-effects model was used for the analysis, and heterogeneity analysis and publication bias test were conducted.ResultsThe rate of universal HAIs was 0.14 percent. The rate of HAIs is increasing by 0.06 percent annually. The highest rate of HAIs was in the AFR, while the lowest prevalence were in AMR and WPR. Besides, AFR prevalence in central Africa is higher than in other parts of the world by 0.27 (95% CI, 0.22-0.34). Besides, E. coli infected patients more than other micro-organisms such as Coagulase-negative staphylococci, Staphylococcus spp. and Pseudomonas aeruginosa. In hospital wards, Transplant, and Neonatal wards and ICU had the highest rates. The prevalence of HAIs was higher in men than in women.ConclusionWe identified several essential details about the rate of HAIs in various parts of the world. The HAIs rate and the most common micro-organism were different in various contexts. However, several essential gaps were also identified. The study findings can help hospital managers and health policy makers identify the reason for HAIs and apply effective control programs to implement different plans to reduce the HAIs rate and the financial costs of such infections and save resources
Meta-analysis based on micro-organism and infection types.
No full textMeta-analysis based on micro-organism and infection types.</p
Meta-regression based on age and length of saty.
No full textMeta-regression based on age and length of saty.</p
