scholarly journals Health care associated infections, antibiotic resistance and clinical outcome: A surveillance study from Sanandaj, Iran

2016 ◽  
Vol 4 (3) ◽  
pp. 63 ◽  
Author(s):  
Jafar Soltani ◽  
Bahman Poorabbas ◽  
Neda Miri ◽  
Jalal Mardaneh
Author(s):  
Nagaraju Vanaparthi ◽  
Kalpana Sadawarte

In recent years, coagulase negative Staphylococci (CONS) are increasingly recognized as one of the major causes of health care associated infections (HCAI). CONS infections are one of the major causes of morbidity and mortality in hospitalized patients. As CONS colonize various parts of the skin and mucous membranes, most of infections are endogenous in origin. However, they are also transmitted exogenously via various medical/ surgical procedures. The aim of present review article is to update and summarize the information available on medically important CONS with special reference to epidemiology, laboratory diagnosis and antibiotic resistance.


Author(s):  
Hanan Khudadad ◽  
Lukman Thalib

Background: Antibiotics are antimicrobial drugs used in the treatment and prevention of bacterial infections. They played a pivotal role in achieving major advances in medicine and surgery (1). Yet, due to increased and inappropriate use of antibiotics, antibiotic resistance (AR) has become a growing public health problem. Information on antibiotic prescription patterns are vital in developing a constructive approach to deal with growing antibiotic resistance (2). The study aims to describe the population based antibiotic prescriptions among patients attending primary care centers in Qatar. Methodology: A population based observational study of all medications prescribed in the all Primary Health Care Centers during the period of 2017-2018 in Qatar. Records with all medication prescriptions were extracted and linked to medical diagnosis. Antibiotics prescriptions records were compared to non- antibiotics records using logistic regression model in identifying the potential predictors for antibiotic prescriptions. Results: A total of 11,069,439 medication prescriptions given over a period of two-years, we found about 12.1% (n= 726,667) antibiotics prescriptions were antibiotics, and 65% of antibiotics are prescribed and received by the patients at the first visits. Paracetamol (22.3%) was the first highest medication prescribed followed by antibiotics (12.1 %) and vitamin D2 (10.2 %). More than half of all antibiotics prescribed during the period of January 2017 to December 2018 were Penicillin (56.9%). We found that half of the antibiotics (49.3 %) have been prescribed for the respiratory system comparing to the other body system. We found that males were 29% more likely be given an antibiotic compared to females (OR=1.29, 95% CI= 1.24- 1.33). Implications: The study provides a baseline data to enable PHCC management to design effective intervention program to address the problem of antibiotics resistance. Furthermore, it will help the policymakers to comprehend the size of the issue and develop a system to manage the antibiotics therapy. Conclusion: Antibiotics was the second highest medication prescribed in the Primary Health Care Centers in Qatar after paracetamol and most of the patients received it at the first visit. Most of the prescriptions in Primary Health Care Centers in Qatar were for the respiratory system, and Penicillin was the highest class prescribed. Male visitors were prescribed antibiotics more than female visitors.


Author(s):  
E. García-Rojo ◽  
J. Medina-Polo ◽  
N. Miranda-Utrera ◽  
P. Abad-López ◽  
D.A. Gonzalez-Padilla ◽  
...  

2016 ◽  
Vol 2 (5) ◽  
pp. e1600300 ◽  
Author(s):  
Ki Soo Park ◽  
Chen-Han Huang ◽  
Kyungheon Lee ◽  
Yeong-Eun Yoo ◽  
Cesar M. Castro ◽  
...  

Health care–associated infections (HAIs) and drug-resistant pathogens have become a major health care issue with millions of reported cases every year. Advanced diagnostics would allow clinicians to more quickly determine the most effective treatment, reduce the nonspecific use of broad-spectrum antimicrobials, and facilitate enrollment in new antibiotic treatments. We present a new integrated system, polarization anisotropy diagnostics (PAD), for rapid detection of HAI pathogens. The PAD uses changes of fluorescence anisotropy when detection probes recognize target bacterial nucleic acids. The technology is inherently robust against environmental noise and economically scalable for parallel measurements. The assay is fast (2 hours) and performed on-site in a single-tube format. When applied to clinical samples obtained from interventional procedures, the PAD determined the overall bacterial burden, differentiated HAI bacterial species, and identified drug resistance and virulence status. The PAD system holds promise as a powerful tool for near-patient, rapid HAI testing.


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