epidemiologic methods; cohort studies; measurement; pediatric chronic kidney disease; pediatric critical care; extracorporeal membrane oxygenation; ECMO
Experiences & Accomplishments
Dr. Ng's research interests include epidemiologic methods for the design and analysis of observational cohort studies, particularly in pediatrics. He is a multi-principal investigator of the Chronic Kidney Disease in Children (CKiD) study and co-leads the data analysis and management center (KIDMAC), with a particular focus on time-to-event and longitudinal data analysis, and epidemiologic issues related to measurement including glomerular filtration rate for kidney function. Dr. Ng also leads the data coordinating center for two studies in pediatric critical care, investigating the relationship between biomarkers of brain injury and severity in the context of extracorporeal membrane oxygenation (ECMO) in order to identify potential prognostic factors that may eventually be used clinically. As an extension of his interest in study design and analysis, Dr. Ng collaborates with the Department of Environmental Health Sciences to investigate the detoxication of airborne pollutants by glucoraphanin and sulforaphane interventions.
Teaching includes Epidemiologic Methods 3 and Advanced Methods in the Design and Analysis of Cohort Studies.
Honors & Awards
Member, Delta Omega Alpha Chapter, Honorary Public Health Society, Johns Hopkins Bloomberg School of Public Health
Advising, Mentoring and Teaching Recognition (AMTRA) Award, 2018-2019.
Ng DK, Matheson MB, Schwartz GJ, Wang FM, Mendley SR, Furth SL, Warady BA for the CKiD investigators. Development of an adaptive clinical web-based prediction tool for kidney replacement therapy in children with chronic kidney disease. Kidney International, 2023 Jun 28;S0085-2538(23)00474-X. doi: 10.1016/j.kint.2023.06.020. PMID: 37391041 PMCID: PMC10592093
Bae S, Samuels JA, Flynn JT, Mitsnefes MM, Furth SL, Warady BA, Ng DK. Machine learning-based prediction of masked hypertension among children with chronic kidney disease. Hypertension, 2022 Sep;79(9):2105-2113. doi: 10.1161/HYPERTENSIONAHA.121.18794. Epub 2022 Jul 7. PMID: 35862083 PMCID: PMC9378451
Ng DK, Patel A, Cox C. Data quality control in longitudinal epidemiologic studies: conditional studentized residuals from linear mixed effects models for outlier detection in the setting of pediatric chronic kidney disease. Annals of Epidemiology, 2023 Jul 16;85:38-44. doi: 10.1016/j.annepidem.2023.07.005. Online ahead of print. PMID: 37454831
Ng DK, Matheson MB, Warady BA, Mendley SR, Furth SL, Munoz A. Incidence of initial renal replacement therapy over the course of kidney disease in children. American Journal of Epidemiology, 2019 Oct 9. pii: kwz220. PMID: 31595948 PMCID: PMC7036655
Ng DK, Pierce CB. Kidney disease progression in children and young adults with pediatric CKD: Epidemiologic perspectives and clinical applications. Seminars in Nephrology, 2021 Sep;41(5): 405-415. doi: 10.1016/j.semnephrol.2021.09.002. PMID: 34916001 PMCID: PMC8694646
Molino AR, Jerry-Fluker J, Atkinson MA, Furth SL, Warady BA, Ng DK. Alcohol, cigarette, e-cigarette and marijuana use among adolescents and young adults with chronic kidney disease in North America. Annals of Epidemiology, 2021 Jul;59:56-63. doi: 10.1016/j.annepidem.2021.04.001. Epub 2021 Apr 22. PMID: 33894386 PMCID: PMC8327403