Background: Rapid and accurate identification of healthcare associated pathogens is crucial for early diagnosis and treatment of infections. This study aimed to assess the performance of a point-of-care multiplex polymerase chain reaction (PCR) in diagnosis of pathogens and their antibiotic resistance genes in bloodstream infections, pneumonia and meningitis/encephalitis in a pediatric intensive care unit (PICU).
Methods: A retrospective cross-sectional study was conducted on pediatric patients diagnosed with healthcare associated infections at Alexandria University PICU, Egypt. A total of 111 samples from 98 patients were subjected simultaneously to standard-of-care microbiology testing (SOCMT) and molecular testing by BioFire multiplex PCR.
Results: In comparison to SOCMT, the BioFire FilmArray had a better diagnostic yield with broncho-alveolar lavage (BAL) (45 vs. 21) and cerebrospinal fluid (CSF) samples (five vs. none) ( ≤ 0.0001). was the most common pathogen in BAL ( = 19 by BioFire, = 9 by SOCMT) and blood ( = 7, by SOCMT and BioFire) samples, while was the most common in CSF samples. BioFire showed 95.8% overall percent agreement, 100% positive percent agreement and 95.6% negative percent agreement with SOCMT. All phenotypically confirmed resistant isolates had resistance genes by the BioFire FilmArray (100%). The turnaround time (TAT) of positive results by the FilmArray panels was 1-1.5 h in comparison to 48-72 h by SOCMT ( ≤ 0.001).
Conclusions: The results of the current study confirm the utility of the BioFire FilmArray in making early decisions regarding patients' diagnosis and management of infection in the PICU, in terms of rapid TAT and appropriate antimicrobial use.
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http://dx.doi.org/10.3390/antibiotics11040453 | DOI Listing |
J Eval Clin Pract
February 2025
Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, Amman, Jordan.
Background: Chronic respiratory disorders such as asthma and chronic obstructive pulmonary disease (COPD) may deteriorate into acute exacerbations requiring hospitalization. Assessing the predictors of prolonged hospital stays could help identify potential interventions to reduce the burden on patients and healthcare systems.
Aim: This study aimed to identify the risk factors attributed to prolonged hospital stays among patients admitted with acute exacerbations of chronic respiratory disorders in Jordan.
JAMA Surg
January 2025
Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Importance: Surgeon stress can influence technical and nontechnical skills, but the consequences for patient outcomes remain unknown.
Objective: To investigate whether surgeon physiological stress, as assessed by sympathovagal balance, is associated with postoperative complications.
Design, Setting, And Participants: This multicenter prospective cohort study included 14 surgical departments involving 7 specialties within 4 university hospitals in Lyon, France.
Importance: Routine preoperative blood tests and electrocardiograms before low-risk surgery do not prevent adverse events or change management but waste resources and can cause patient harm. Given this, multispecialty organizations recommend against routine testing before low-risk surgery.
Objective: To determine whether a multicomponent deimplementation strategy (the intervention) would reduce low-value preoperative testing before low-risk general surgery operations.
JAMA Netw Open
January 2025
Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Purpose Of Review: The 2024 mpox outbreak, primarily driven by the possibly more virulent clade Ib strain, prompted the WHO declaring it a public health emergency of international concern (PHEIC) on August 14, 2024. This review provides essential guidance for clinicians managing mpox cases, as it contrasts the features of the 2024 outbreak with those of the 2022 epidemic to support better clinical decision-making.
Recent Findings: The review highlights significant differences between the 2024 and 2022 outbreaks, including total case numbers, demographic distribution, and fatality rates.
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