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Background And Objective: Respiratory distress is the most common cause requiring neonatal intensive care unit admission. As respiratory and cardiac functions are closely interrelated, some cardiac dysfunction is expected in respiratory distress. The myocardial performance index (MPI) is an index to assess global myocardial function, easily measurable by bedside echocardiography and reliable. Here, we conducted this study to determine the change in cardiac function in neonates with respiratory distress before initiating respiratory support and after weaning from the support.
Methodology: The study was carried out in 92 neonates with a gestational age of more than 32 weeks who required invasive or noninvasive respiratory support. The tissue Doppler left ventricular MPI (LV MPI) was calculated before the initiation of respiratory support and after weaning from respiratory support. The data were analyzed using a paired -test and a Wilcoxon signed-rank test.
Results: This study comprised 92 neonates with a median (interquartile range) LV MPI value of 0.56 (0.10) before initiation of respiratory support and 0.47 (0.04) after weaning from respiratory support with < 0.001. The isovolumetric contraction time, isovolumetric relaxation time, and ejection time increased after weaning from respiratory support (all < 0.0001). The severity of respiratory distress determined by invasive mode of ventilation and longer duration of respiratory support caused higher initial LV MPI before initiation of respiratory support compared with recovery and < 0.001, suggesting subclinical ventricular dysfunction with respiratory distress in neonates.
Conclusion: LV MPI was higher in neonates with respiratory distress and normalized after weaning from respiratory support, which indicates that neonates requiring respiratory support may have subclinical ventricular dysfunction and should be followed up carefully.
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http://dx.doi.org/10.4103/apc.apc_167_24 | DOI Listing |
Pathol Res Pract
September 2025
Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address:
Our research aims to ascertain the value of precursor and outgrowth lepidic in aiding the confirmation of multiple lung adenocarcinomas as separate primary lung cancers (SPLC). A total of 151 patients with metachronous multiple invasive adenocarcinomas were included in this study. Driver mutation tests(at least five genes: EGFR, ALK, KRAS, BRAF, and ROS1) were conducted on 302 tumors collected from 151 patients.
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Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
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View Article and Find Full Text PDFMol Biol Rep
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College of Animal Science and Technology, Shihezi University, Shihezi, 832003, China.
Background: A secondary Pasteurella multocida (Pm) infection following Mycoplasma ovipneumoniae (Mo) challenge in sheep results in severe respiratory disease. Scavenger receptor A (SRA) is a key phagocytic receptor on macrophages, which facilitates microbial clearance. However, the role of sheep SRA in Mo-associated secondary Pm infection is less understood.
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September 2025
Department of Medical Lab Technology, College of health and medical technology, Sulaimani Polytechnic University, Sulaimani, 46001, Kurdistan Region, Iraq.
Background: Sinusitis is a common respiratory infection increasingly associated with antibiotic-resistant Staphylococcus aureus, posing significant treatment challenges. The emergence of methicillin-resistant S. aureus (MRSA) in sinus infections necessitates comprehensive profiling of resistance patterns to guide effective therapy.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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