Fabio Savorgnan, MD, MS, FAAP, FACC
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Positions
- Associate Professor
-
Pediatrics-Critical Care
Heart Center
Baylor College of Medicine
Houston, TX US
Addresses
- TCH-West Tower (Hospital)
-
Room: TXWT-B06006
Houston, TX 77030
United States
- TCH - Legacy Tower (Hospital)
-
6651 Main Street
Houston77030
Phone: (832) 826-6230
Education
- MS from Souther Methodist University
- 07/2022 - Dallas, Texas United States
- Fellowship at Indiana University
- 06/2016 - Indianapolis, Indiana United States
- Pediatric Cardiology
- Fellowship at University of Tennessee
- 06/2013 - Memphis, Tennessee United States
- Pediatric Critical Care Medicine
- Fellowship at University of New York at Buffalo
- 06/2010 - Buffalo, New York United States
- Neonatal and Perinatal Medicine
- Residency at Albert Einstein University/Bronx Lebannon Hospita
- 12/2001 - Bronx, New York United States
- Pediatric
- MD from Universidad Nacional De Asuncion
- 04/1996 - Asuncion, Paraguay
Certifications
- Medical License
- #Q7957 (07/01/2016)
- Texas Board
- Board Certify in Pediatric Cardiology
- #3155
- American Board of Pediatric
- Board Certify in Pediatric Critical Care
- #2074
- American Board of Pediatric
- Board Certify in Neonatal and Perinatal Medicine
- #5470
- American Board of Pediatric
- Board Certify in Pediatric
- #76747
- American Board of Pediatric
Honors & Awards
- Novel pseudo-differential methods to drastically increase computational speed and accuracy for biomedical ultrasound imaging and focusing.
- Funding agency: NIH. Grant number: 1R15EB035359-01A1.
- NIH (06/2024 - 07/2028)
- Young Investigator Endowment.
- Grant. Funding agency: Baylor College of Medicine. Role: Primary Recipient
- Baylor College of Medicine (04/2021 - 04/2022)
- Red Blood Cell Transfusion Induced ST Segment Variability Following the Norwood Procedure
- Best Research Abstract Award
- American Academy of Pediatrics. Session of Critical Care (10/2021 - 10/2021)
- A randomized control trial of Nitric Oxide administration during cardiopulmonary bypass in infants undergoing congenital heart surgery.
- Funding agency: Mallinckrodt Pharmaceutical. Grant number: 44435. Role: Primary investigator
- Mallinckrodt Pharmaceutical (06/2018 - 07/2020)
Professional Interests
- Data Science applied to Medicine
- Hemodynamic Monitoring
- Imaging in Cardiac Intensive Care
Professional Statement
My experience in the Neonatal-Perinatal Medicine Fellowship, Pediatric Critical Care Fellowship, and Pediatric Cardiology fellowship has provided the thorough clinical background necessary to succeed in patient care and clinical education. Currently, my practice in cardiovascular critical care medicine at Texas Children’s Hospital/Baylor College of Medicine and the master’s degree in data science with a focus on Machine Learning at Southern Methodist University provides the tools to succeed in clinical educational research related to data science and predictive analytics in medicine. Also, it allows me most importantly to perform an excellent clinical care on patients at TCH.I focus my current studies on the design of a model to predict extubation failure in the single ventricle population. And in the design of computer simulator of congenital heart disease (CHD) physiologic with the objective to facilitate an educational tool to learner interested in the complex physiology of CHD and patient with single ventricle physiology. I am currently mentoring fellows, BCM students, and TCH experts in data science to bring these tools to the bedside in the cardiovascular intensive care unit.
I plan to employ my vast clinical background and the tools that I learned during my master to teach data science applied to medicine to the students, fellows, instructors, and faculty in the cardiac intensive care unit at TCH / BCM.
Websites
Professional Development
- Big Data Base Research in Medicine
- Course (Presenter)
- I have a master's in data Science from Southern Methodist University (SMU), and I teach data science applied to medicine at Baylor College of Medicine and Texas Children's Hospital.
Selected Publications
- "All my publication you can find in this link. And below you can find a sample.." 2025 Jun;
- Savorgnan F, Elhoff JJ, Guffey D, Axelrod D, Buckley JR, Gaies M, Ghanayem NS, Lasa JJ, Shekerdemian L, Tweddell JS, Werho DK, Yeh J, Steurer MA. "Relationship Between Gestational Age and Outcomes After Congenital Heart Surgery." Ann Thorac Surg. 2020; Pubmed PMID: 33080235
- Savorgnan F, Bhat PN, Checchia PA, Acosta S, Tume SC, Lasa JJ, Asadourian V, Achuff BJ, Flores S, Ahmed M, Crouthamel DI, Loomba RS, Bronicki RA "RBC Transfusion Induced ST Segment Variability Following the Norwood Procedure." Crit Care Explor.. 2021; Pubmed PMID: 34036271
- Savorgnan F, Moreira A, Moreira A, Annapragada A, Sexson Tejtel SK, Flores S, Rusin CG, Shekerdemian L, Acosta S "Physiologic profile associated with severe multisystem inflammatory syndrome in children: a retrospective study." Pediatr Res. 2022; Pubmed PMID: 35568731
- Savorgnan F, Crouthamel DI, Heroy A, Santerre J, Acosta S. Quantification of electrocardiogram instability prior to cardiac arrest in patients with single-ventricle physiology "Quantification of electrocardiogram instability prior to cardiac arrest in patients with single-ventricle physiology." J Electrocardiology. 2022; Pubmed PMID: 35580481
- Savorgnan F, Crouthamel DI, Heroy A, Santerre J, Acosta S "Markov model for detection of ECG instability prior to cardiac arrest in single-ventricle patients.." J Electrocardiol. 2033 Sep; Pubmed PMID: 37311367
- Savorgnan F, Loomba RS, Flores S, Rusin CG, Zheng F, Hassan AM, Acosta S "Descriptors of Failed Extubation in Norwood Patients Using Physiologic Data Streaming.." Pediatr Cardiol. 2024 Feb; Pubmed PMID: 36562780
- Hassan AM, Acosta S, Zheng F, Rusin C, Savorgnan F "Noninvasive Respiratory Support Does Not Prevent Extubation Failure in High-Risk Norwood Patients.." Crit Care Explor. 2022 Oct 25; Pubmed PMID: 9605742
Memberships
- SCCM
- Member (07/2013)
- AAP
- Fellow (12/2001)
- American College of Cardiologic
- Fellow (07/2013)
Funding
- Novel pseudo-differential methods to drastically increase computational speed and accuracy for biomedical ultrasound imaging and focusing - #1R15EB035359-01A1
- $481,144.00 (06/30/2024 - 06/30/2028) Grant funding from NIH
Languages
Spanish, Italian
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