Characterizing continuous positive airway pressure (CPAP) Belly Syndrome in preterm infants in the neonatal intensive care unit (NICU).

Autor: Gu H; Division of Neonatology, Stanford University, Stanford, CA, USA. guh1@stanford.edu., Seekins J; Department of Pediatric Radiology, Stanford University, Stanford, CA, USA., Ritter V; Quantitative Sciences Unit, Stanford University, Stanford, CA, USA., Halamek LP; Division of Neonatology, Stanford University, Stanford, CA, USA., Wall JK; Department of Pediatric General Surgery, Stanford University, Stanford, CA, USA., Fuerch JH; Division of Neonatology, Stanford University, Stanford, CA, USA.

Publikováno v: Journal of perinatology : official journal of the California Perinatal Association [J Perinatol] 2024 Sep; Vol. 44 (9), pp. 1269-1275. Date of Electronic Publication: 2024 Mar 06.

Neonatal Healthcare Professionals' Experiences When Implementing a Simulation and Debriefing Program in Neonatal Intensive Care Settings: A Qualitative Analysis.

Autor: Quinn J; California Perinatal Quality Care Collaborative (CPQCC), Stanford (Drs Jenny Quinn, Profit, Gould, and Lee, Mr Lieu, and Ms Bohnert); NorthBay Medical Center, Fairfield, California (Dr Jenny Quinn); Oregon Health & Science University, School of Nursing, Portland (Dr Megan Quinn); Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California (Drs Halamek, Profit, Fuerch, Chitkara, Yamada, and Gould); Center for Advanced Pediatric & Perinatal Education (CAPE), Palo Alto, California (Drs Halamek, Fuerch, Chitkara, and Yamada); and Division of Neonatology, Department of Pediatrics, UC San Diego School of Medicine, La Jolla, California (Dr Lee)., Quinn M, Lieu B, Bohnert J, Halamek LP, Profit J, Fuerch JH, Chitkara R, Yamada NK, Gould J, Lee HC

Publikováno v: Advances in neonatal care : official journal of the National Association of Neonatal Nurses [Adv Neonatal Care] 2023 Oct 01; Vol. 23 (5), pp. 425-434. Date of Electronic Publication: 2023 Jun 29.

Data-driven longitudinal characterization of neonatal health and morbidity.

Autor: De Francesco D; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Reiss JD; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Roger J; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Graduate Program in Biological and Medical Informatics, University of California, San Francisco, CA 94143, USA., Tang AS; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Graduate Program in Biological and Medical Informatics, University of California, San Francisco, CA 94143, USA.; Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA., Chang AL; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Becker M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Phongpreecha T; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA., Espinosa C; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Morin S; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Graduate Program in Biological and Medical Informatics, University of California, San Francisco, CA 94143, USA., Berson E; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA., Thuraiappah M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Le BL; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Department of Pediatrics, University of California, San Francisco, CA 94143, USA., Ravindra NG; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Payrovnaziri SN; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Mataraso S; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Kim Y; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Xue L; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Rosenstein MG; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, CA 94158, USA., Oskotsky T; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Department of Pediatrics, University of California, San Francisco, CA 94143, USA., Marić I; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA., Gaudilliere B; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA., Carvalho B; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA., Bateman BT; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA., Angst MS; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA., Prince LS; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Blumenfeld YJ; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305, USA., Benitz WE; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Fuerch JH; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Shaw GM; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Sylvester KG; Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA., Stevenson DK; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA., Sirota M; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94143, USA.; Department of Pediatrics, University of California, San Francisco, CA 94143, USA., Aghaeepour N; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.

Publikováno v: Science translational medicine [Sci Transl Med] 2023 Feb 15; Vol. 15 (683), pp. eadc9854. Date of Electronic Publication: 2023 Feb 15.

Respiratory function monitoring during neonatal resuscitation: A systematic review.

Autor: Fuerch JH; Stanford University Medical Center, Division of Neonatology, 453 Quarry Road, Palo Alto, CA 94304, United States., Thio M; Department of Newborn Research, The Royal Women's Hospital, Parkville, VIC 3052, Australia.; Gandel Simulation Service and Department of Obstetrics & Gynaecology, The University of Melbourne, Parkville, VIC 3010, Australia., Halamek LP; Stanford University Medical Center, Division of Neonatology, 453 Quarry Road, Palo Alto, CA 94304, United States., Liley HG; Mater Research Institute and Mater Clinical School, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia., Wyckoff MH; Division of Neonatal-Perinatal Medicine, Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX, United States., Rabi Y; University of Calgary, 1403 29 St NW, Calgary, AB T2N 2T9, Canada.; Alberta Children's Hospital Research Institute, 28 Oki Dr NW, Calgary, AB T3B 6A8, Canada.

Publikováno v: Resuscitation plus [Resusc Plus] 2022 Nov 17; Vol. 12, pp. 100327. Date of Electronic Publication: 2022 Nov 17 (Print Publication: 2022).

The Value of Surgical Data-Impact on the Future of the Surgical Field.

Autor: August AT; UCSF-Stanford Pediatric Device Consortium, Stanford, CA, USA.; Stanford- Byers Center for Biodesign, Stanford, CA, USA.; Department of General Surgery, Stanford University Hospital and Clinics, Stanford, CA, USA., Sheth K; UCSF-Stanford Pediatric Device Consortium, Stanford, CA, USA.; Stanford- Byers Center for Biodesign, Stanford, CA, USA.; Department of Pediatric Urology, Lucille Packard Children's Hospital, Stanford, CA, USA., Brandt A; 10624Stanford University School of Medicine, Stanford, CA, USA., deRuijter V; UCSF-Stanford Pediatric Device Consortium, Stanford, CA, USA.; Stanford- Byers Center for Biodesign, Stanford, CA, USA., Fuerch JH; UCSF-Stanford Pediatric Device Consortium, Stanford, CA, USA.; Stanford- Byers Center for Biodesign, Stanford, CA, USA.; Department of Pediatric Urology, Lucille Packard Children's Hospital, Stanford, CA, USA., Wall J; UCSF-Stanford Pediatric Device Consortium, Stanford, CA, USA.; Stanford- Byers Center for Biodesign, Stanford, CA, USA.; Department of General Surgery, Stanford University Hospital and Clinics, Stanford, CA, USA.

Publikováno v: Surgical innovation [Surg Innov] 2022 Feb; Vol. 29 (1), pp. 98-102. Date of Electronic Publication: 2021 Apr 08.