Objectives: This study aims to determine the incidence of healthcare-associated infections in a military hospital in Alkharj and the adherence to the HAIs' prevention strategies.
Methods: This study included exporting data for all infected cases confirmed by the infection disease specialists in 2019. The data were collected from the reports that were written by infection control unit and infectious disease department.
Results: The rate of healthcare associated infections (HAIs) in 2019 was 0.43% of total patient admissions. The rate of central line associated bloodstream infections in 2019 was 1.15 per 1000 central line days. The rate of catheter associated urinary tract infections in 2019 was 1.00 per 1000 catheter days. The rate of ventilator associated pneumonia in 2019 was 2.11 per 1000 ventilator days and the rate of surgical site infections in 2019 was 0.41 %.
Conclusion: The rate of overall healthcare-associated infections (HAI) was low. The compliance rate of health care workers to preventive measures that control HAIs was generally high but there was a need for more awareness particularly regarding personal protective equipment and hand hygiene. So it is important to attend more awareness activities and workshops particularly regarding personal protective equipment and hand hygiene. Furthermore, infection control unit and infectious disease department in the hospital should support the robust HAI prevention programs.
METHODS: A cross-sectional observational study was conducted among diabetic patients using a self-reported questionnaire developed on an online platform (SurveyMonkey®). The survey was distributed through social media platforms (WhatsApp, Telegram). For those who were digitally illiterate, responses were collected by family members. The targeted population was type 1, type 2 and gestational diabetes patients. The analysis of the data was done using IBM SPSS Statistics, version 26.
RESULTS: Four hundred forty-nine participants completed the survey. Most of the participants had type 2 diabetes (n=359; 79.8%) and were well educated (83.2%) with a high school degree and above. Complications from COVID-19 infection were reported in 12% (n=54) patients. During quarantine, 78.8% (n=354) of participants measured their blood glucose regularly. Results showed that during quarantine, 68.3% (n=311) participants skipped their scheduled follow-up whereas only 5.1% (n=23) of them took their medication inappropriately.
CONCLUSION: This study reported good levels of self-monitoring of blood glucose levels, whereas patients' accessibility to seek healthcare services seemed to be interrupted. Further efforts are needed in the post-pandemic era to empower patients' self-care behaviors and utilize telehealth models to facilitate timely access to medical care.
OBJECTIVE: The aim of this study is to analyze the multiphase pulsatile blood flow in the left coronary artery tree with stenosis.
METHODS: The 3D left coronary artery model was reconstructed using 2D computerized tomography (CT) scan images. The Red Blood Cell (RBC) and varying hemodynamic parameters for single and multiphase blood flow conditions were analyzed.
RESULTS: Results asserted that the multiphase blood flow modeling has a maximum velocity of 1.017 m/s and1.339 m/s at the stenosed region during the systolic and diastolic phases respectively. The increase in Wall Shear Stress (WSS) observed at the stenosed region during the diastole phase as compared during the systolic phase. It was also observed that the highest Oscillatory Shear Index (OSI) regions are found in the downstream area of stenosis and across the bifurcations. The increase in RBCs velocity from 0.45 m/s to 0.6 m/s across the stenosis was also noticed.
CONCLUSION: The computational multiphase blood flow analysis improves the understanding and accuracy of the complex flow conditions of blood elements (RBC and Plasma) and provides the progression of the disease development in the coronary arteries. This study helps to enhance the diagnosis of the blocked (stenosed) arteries more precisely compared to the single-phase blood flow modeling.
OBJECTIVES: The present meta-analysis aimed to compare the effectiveness of a single dosage versus several doses of antibiotics in preventing the development of surgical site infections.
METHODS: PubMed was used to find clinical trials evaluating the effectiveness of a single dosage versus several doses of antibiotics in avoiding the development of surgical site infections. The study included trials that were published between 1984 and 2022. Seventy-four clinical trials were included in the analysis. Odds ratios were used to compare groups with 95% confidence intervals. The data were displayed using OR to generate a forest plot. Review Manager (RevMan version 5.4) was used to do the meta-analysis.
RESULTS: Regarding clean operations, there were 389 surgical site infections out of 5,634 patients in a single dose group (6.90%) and 349 surgical site infections out of 5,621 patients in multiple doses group (6.21%) (OR = 1.11, lower CI = 0.95, upper CI = 1.30). Regarding clean-contaminated operations, there were 137 surgical site infections out of 2,715 patients in a single dose group (5.05%) and 137 surgical site infections out of 2,355 patients in multiple doses group (5.82%) (OR = 0.87, lower CI = 0.68, upper CI = 1.11). Regarding contaminated operations, there were 302 surgical site infections out of 3,262 patients in a single dose group (9.26%) and 276 surgical site infections out of 3,212 patients in multiple doses group (8.59%) (OR = 1.11, lower CI = 0.84, upper CI = 1.47). In general, there were 828 surgical site infections out of 11,611 patients in a single dose group (7.13%) and 762 surgical site infections out of 11,188 patients in multiple doses group (6.81%) (OR = 1.05, lower CI = 0.93, upper CI = 1.20). The difference between groups was not significant.
CONCLUSION: The present study showed that using a single-dose antimicrobial prophylaxis was equally effective as using multiple doses of antibiotics in decreasing surgical site infections.