Andre Holder MD, MSc
Overview
Dr. Holder completed his undergraduate education at Cornell University and his medical school education and a combined residency in Emergency Medicine and Internal Medicine at the State University of New York Health Science Center at Brooklyn (SUNY Downstate).
After completing his residency, he practiced emergency medicine at Jacobi Medical Center, and completed his Masters of Science in Clinical Research Methodology at Albert Einstein College of Medicine in the Bronx, NY. He subsequently did a clinical fellowship in Critical Care Medicine and an NIH T32 research fellowship at the University of Pittsburgh from 2011-2014, working in their cardiopulmonary lab group under the mentorship of Drs. Michael Pinsky and Gilles Clermont. Upon completion of his fellowships, he was recruited by Dr. Guidot to join Emory faculty as an Assistant Professor. His clinical practice is exclusively at Grady Memorial Hospital.
Dr. Holders research has focused on understanding the progression of inflammatory diseases that cause critical illness, with a specific emphasis on sepsis pathophysiology. He is interested in employing advanced data-driven techniques such as nonlinear prediction modeling and machine learning approaches to predict the trajectory of complex syndromes like sepsis. Dr. Holder studies whether temporal trends in physiologic and laboratory biomarkers, and complex measures of physiologic variability can improve prediction of clinical deterioration in sepsis.
Dr. Holder is mentored by a multidisciplinary team which includes Drs. Greg Martin, Gari Clifford (Department of Biomedical Informatics), James Blum (Department of Anesthesia), and Timothy Buchman (Department of Surgery).
Academic Appointment
- Assistant Professor, Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University
Education
Degrees
- MD from SUNY Health Science Center at Brooklyn
- MSc from Yeshiva University
Research
Focus
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Predictive analytics in critical illness, hemodynamic monitoring, cardiopulmonary resuscitation
Dr. Holder's research thus far has focused on understanding the progression of inflammatory diseases that cause critical illness, with a specific emphasis on sepsis pathophysiology. He is interested in employing advanced data-driven techniques such as nonlinear prediction modeling and machine learning approaches to predict the trajectory of complex syndromes like sepsis. Dr. Holder studies whether temporal trends in physiologic and laboratory biomarkers, and complex measures of physiologic variability can improve prediction of clinical deterioration in sepsis. He is mentored by a multidisciplinary team which includes Drs. Greg Martin, Gari Clifford (Department of Biomedical Informatics), and Timothy Buchman (Department of Surgery).
Publications
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Moderate IV Fluid Resuscitation Is Associated With Decreased Sepsis Mortality.
Crit Care Med Volume: 52 Page(s): e557 - e567
11/01/2024 Authors: Corl KA; Levy MM; Holder AL; Douglas IS; Linde-Zwirble WT; Alam A -
Should AI models be explainable to clinicians?
Crit Care Volume: 28 Page(s): 301
09/12/2024 Authors: Abgrall G; Holder AL; Chelly Dagdia Z; Zeitouni K; Monnet X -
The Precision Resuscitation With Crystalloids in Sepsis (PRECISE) Trial: A Trial Protocol.
JAMA Netw Open Volume: 7 Page(s): e2434197
09/03/2024 Authors: Bhavani SV; Holder A; Miltz D; Kamaleswaran R; Khan S; Easley K; Murphy DJ; Franks N; Wright DW; Kraft C -
Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19.
Crit Care Explor Volume: 6 Page(s): e1059
03/01/2024 Authors: Yang P; Gregory IA; Robichaux C; Holder AL; Martin GS; Esper AM; Kamaleswaran R; Gichoya JW; Bhavani SV -
A Delphi Process to Identify Relevant Outcomes That May Be Associated With a Predictive Analytic Tool to Detect Hemodynamic Deterioration in the Intensive Care Unit.
Cureus Volume: 15 Page(s): e50169
12/01/2023 Authors: Holder AL; Khanna AK; Scott MJ; Rossetti SC; Rinehart JB; Linn DD; Weichert J; Dellinger RP -
A MACHINE LEARNING MODEL DERIVED FROM ANALYSIS OF TIME-COURSE GENE-EXPRESSION DATASETS REVEALS TEMPORALLY STABLE GENE MARKERS PREDICTIVE OF SEPSIS MORTALITY.
Shock Volume: 60 Page(s): 671 - 677
11/01/2023 Authors: Huang M; Atreya MR; Holder A; Kamaleswaran R -
HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF).
Physiol Meas Volume: 44
10/13/2023 Authors: Krishnan P; Rad MG; Agarwal P; Marshall C; Yang P; Bhavani SV; Holder AL; Esper A; Kamaleswaran R -
Facilitating the Next Paradigm Shift in Critical Care Through Artificial Intelligence.
Crit Care Clin Volume: 39 Page(s): xiii - xiv
10/01/2023 Authors: Holder AL; Kamaleswaran R -
Overt and Occult Hypoxemia in Patients Hospitalized With COVID-19.
Crit Care Explor Volume: 5 Page(s): e0825
01/01/2023 Authors: Gadrey SM; Mohanty P; Haughey SP; Jacobsen BA; Dubester KJ; Webb KM; Kowalski RL; Dreicer JJ; Andris RT; Clark MT -
Serial Measurements of Protein Biomarkers in Sepsis-Induced Acute Respiratory Distress Syndrome.
Crit Care Explor Volume: 4 Page(s): e0780
10/01/2022 Authors: Yang P; Iffrig E; Harris F; Holder AL; Martin GS; Esper AM