Arch Peru Cardiol Cir Cardiovasc
September 2024
Congenital heart diseases are the most common congenital malformations worldwide and represent one of the leading causes of neonatal death, in addition to the significant use of human and financial resources by health systems. The purpose of this document is to support the implementation of neonatal screening for critical congenital heart diseases using pulse oximetry according to the different geographical altitudes of Peru. This technology is widely used worldwide and has high sensitivity, specificity, and cost-effectiveness.
View Article and Find Full Text PDFMicrobiol Resour Announc
November 2024
(PM) is a major bacterial pathogen that causes fowl cholera disease in both domestic poultry and wild birds. Here, we report the complete genome sequences of eight PM isolates representing all known lipopolysaccharide outer core loci, which are phenotypically expressed as 16 known PM serotypes.
View Article and Find Full Text PDFBMC Oral Health
September 2024
Background: To verify the influence of macrogeometry with healing chambers on the osseointegration of dental implants by analyzing implant stability quotient (ISQ) and evaluate the correlation between insertion torque and ISQ insertion with different macrogeometries.
Methods: In total, 26 implants were installed in the posterior mandible of eight patients with sufficient bone height for the installation of implants measuring 3.5 mm in diameter and 9.
Impaired clearance of the byproducts of aging and neurologic disease from the brain exacerbates disease progression and severity. We have developed a noninvasive, low intensity transcranial focused ultrasound protocol that facilitates the removal of pathogenic substances from the cerebrospinal fluid (CSF) and the brain interstitium. This protocol clears neurofilament light chain (NfL) - an aging byproduct - in aged mice and clears red blood cells (RBCs) from the central nervous system in two mouse models of hemorrhagic brain injury.
View Article and Find Full Text PDFPurpose: Data on lines of therapy (LOTs) for cancer treatment are important for clinical oncology research, but LOTs are not explicitly recorded in electronic health records (EHRs). We present an efficient approach for clinical data abstraction and a flexible algorithm to derive LOTs from EHR-based medication data on patients with glioblastoma multiforme (GBM).
Methods: Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians.