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| http://dx.doi.org/10.1186/s12934-022-01927-w | DOI Listing |
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Predicting extubation failure in neonates: The role of lung ultrasound and corrected gestational age in safe weaning in the NICU.
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Hospital de Clinicas de Porto Alegre, Rua Silva Jardim 1155 # 701, Porto Alegre, RS, 90450-071, Brazil.
Unlabelled: To evaluate the accuracy of the lung ultrasound score (LUS) in predicting ventilatory weaning failure during neonatal hospitalization in the NICU and to identify factors associated with weaning failure, including corrected gestational age (CGA). This prospective, longitudinal, pragmatic and observational cohort study included neonates on mechanical ventilation for at least 48 h. The primary outcome was the accuracy of lung ultrasound in predicting 3-day weaning failure, with the ROC curve used to determine the best LUS cutoff (sensitivity and specificity).
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Human β-defensin (HBD) has been recognized as a promising antimicrobial agent due to its broad-spectrum antimicrobial activity against various pathogens. In our previous work, we engineered a chimeric human β-defensin, designated H4, by fusing human β-defensin 3 and human β-defensin 4, resulting in enhanced antimicrobial activity and salt stability. However, the high cost of chemical synthesis due to the relatively large number of amino acids in H4 has limited its applications.
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CRISPR-Cas technologies have drastically revolutionized genetic engineering and also dramatically changed the potential for treating inherited disorders. The potential to correct genetic mutations responsible for numerous hereditary disorders from single-gene disorders to complex polygenic diseases through precise DNA editing is feasible. The tactic now employed in CRISPR-Cas systems for treating inherited disorders is the usage of particular guide RNAs to target and edit disease-causing mutations in the patient's genome.
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Invest Radiol
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From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
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