Assessment of Public Knowledge and Awareness on First-Aid Management of Epistaxis in Makkah, Saudi Arabia.

BACKGROUND: Epistaxis is a common medical problem requiring first aid. However, public awareness of proper first-aid techniques for epistaxis is limited. This study assessed the knowledge and attitudes toward first-aid epistaxis management among the general population in the Makkah region. METHODS: A cross-sectional online survey was conducted with 1,259 participants from various regions in Makkah. The survey assessed participants' epidemiological information, experience with epistaxis, and knowledge of proper first-aid techniques. The knowledge scores were calculated and categorized as either good or poor. Associations between the variables and predictors of good knowledge were analyzed. RESULT: Overall knowledge of proper epistaxis first aid was poor, with only 467 (37.1%) demonstrating good knowledge. Women, healthcare workers, and those with prior epistaxis showed higher odds of having good knowledge than their counterparts. Relatives/friends and social media were cited as the main knowledge sources, rather than healthcare providers. CONCLUSION: Public awareness of appropriate first-aid epistaxis techniques in Makkah is inadequate. Targeted educational interventions involving healthcare providers are needed to improve the first-aid management of this common medical issue.

Traumatic low lumbar fractures: How often MRI changes the fracture classification or clinical decision-making compared to CT alone?

PURPOSE: To determine the impact of magnetic resonance imaging (MRI) on fracture classification for low lumbar fractures (LLFs) compared to CT alone. METHODS: This study was a retrospective review of 41 consecutive patients with LLFs who underwent CT and MRI within 10 days of injury. Three reviewers classified all fractures according to AOSpine Classification and the Thoracolumbar Injury Classification (TLISS). Posterior ligamentous complex (PLC) injury in MRI was defined by black stripe discontinuity and in CT by the presence of: vertebral body translation, facet joint malalignment, horizontal laminar or spinous process fracture, and interspinous widening. The proportion of patients with AO type A/B/C and with TLISS < 5 and ≥ 5 was compared between CT and MRI. We examined the overall accuracy and individual CT findings for PLC injury. RESULTS: AO classification using CT was: AO type A in 26 patients (61%), type B in 7 patients (17%), and type C in 8 patients (22%). Seventeen patients (41%) had a TLISS ≥ 5 while 24 (59%) had TLISS < 5. The addition of MRI after CT changed the AO classification in only 2 patients (4.9%, 95% CI (0.6-16.5%) due to upgrade of type A to type B or vice versa, but did not change TLISS from < 5 to ≥ 5 [p< 0.0001; 95% CI (0.59, 0.77)]. CONCLUSIONS: CT was highly accurate (95%) for diagnosis of PLC injury in LLFs. Addition of MRI after CT did not change the AO classification or TLISS, compared to CT alone, thus suggesting limited additional value of MRI for PLC assessment or fracture classification.

Analysis of the Combined Computed Tomography Findings Improves the Accuracy of Computed Tomography for Detecting Posterior Ligamentous Complex Injury of the Thoracolumbar Spine as Defined by Magnetic Resonance Imaging.

OBJECTIVE: To determine the diagnostic accuracy of combined computed tomography (CT) findings for detecting posterior ligamentous complex (PLC) injury in thoracolumbar fractures using magnetic resonance imaging as a reference. METHODS: A retrospective review of 263 consecutive patients with thoracolumbar fractures who underwent CT and magnetic resonance imaging within 10 days of injury. Two reviewers evaluated CT for the following findings: facet joint malalignment, facet joint widening, horizontal laminar fracture, spinous process fracture, and interspinous widening. We examined the independent association of CT findings with PLC injury before combining the CT findings to calculate the diagnostic accuracy: sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), and positive and negative likelihood ratios. PLC injury was defined by black stripe discontinuity caused by supraspinous or ligamentum flavum rupture. RESULTS: Facet joint malalignment, spinous process fracture, horizontal laminar fracture, and interspinous widening were independently associated with PLC injury (adjusted odds ratio range, 4.4e17.4). A single positive CT finding yielded a PPV of 31% and NPV of 66% for PLC injury. Two or more CT findings yielded a PPV of 91% for PLC injury. A negative CT for all the 4 CT sings had a 94% NPV for PLC injury. CONCLUSIONS: Two or more CT findings provided the best combination to confirm PLC injury; thus, this combination could be used as a criterion for injured PLC. A single CT finding lacks sufficient predictive value to confirm or rule out PLC injury. A negative CT for the 4 CT findings provided the highest sensitivity for PLC injuries.

Five-year resistance trends in pathogens causing healthcare-associated infections at a multi-hospital healthcare system in Saudi Arabia, 2015-2019.

OBJECTIVES: Awareness of antimicrobial resistance (AMR) patterns in a given healthcare setting is important to inform the selection of appropriate antimicrobial therapy to reduce the further rise and spread of AMR as well as the rate of healthcare-associated infections (HAIs) and multidrug-resistant (MDR) organisms. We aimed to describe resistance patterns to several antimicrobial agents in pathogens causing HAIs isolated from patients using data gathered at three private tertiary-care hospitals in Saudi Arabia. METHODS: Data on trends in AMR among bacteria causing HAIs and MDR events in children and adults at three private hospitals were collected retrospectively (2015-2019) using surveillance data. RESULTS: Over the 5-year period, 29 393 pathogens caused 17 539 HAIs in 15 259 patients. Approximately 57.3% of patients were female and the mean age was 38.4 ± 16.8 years (81.4% adults, 18.6% children). Gram-negative pathogens were four times more likely to cause HAIs compared with Gram-positive bacteria (79.3% vs. 20.7%). Ranking of causative pathogens in decreasing order was Escherichia coli (42.2%), Klebsiella spp. (16.8%) and Staphylococcus aureus (13.9%). Acinetobacter spp. were the only pathogens to decrease significantly (7% reduction; P = 0.033). The most common resistant pathogens were extended-spectrum cephalosporin-resistant E. coli (37.1%), extended-spectrum cephalosporin-resistant Klebsiella (27.8%), carbapenem-non-susceptible Acinetobacter spp. (19.5%), carbapenem-non-susceptible Pseudomonas aeruginosa (19.2%) and methicillin-resistant S. aureus (18.6%). CONCLUSION: National collaboration is required by prompt feedback to local authorities to tackle regional differences in AMR. This can help plan timely containment interventions to stop and contain microbial threats and swiftly assess their impact.