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David Kim

David Kim

· Assistant Professor Of Emergency Medicine

Stanford University · Rheumatology

Active 1981–2024

h-index70
Citations23.1k
Papers680182 last 5y
Funding$498k
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About

David Kim is an Assistant Professor of Emergency Medicine at Stanford University and is affiliated with the Center for Artificial Intelligence in Medicine & Imaging (AIMI). His work focuses on the application of artificial intelligence in healthcare, particularly in emergency medicine. As a faculty member at Stanford, he contributes to advancing research in medical imaging and AI-driven healthcare solutions, supporting the center's mission to innovate and improve medical practices through cutting-edge technology.

Research topics

  • Medicine
  • Internal medicine
  • Physical therapy
  • Pathology
  • Virology
  • Environmental health
  • Gastroenterology
  • Pediatrics

Selected publications

  • Metabolic dysfunction-associated fatty liver disease is associated with increased all-cause mortality in the United States

    Journal of Hepatology · 2021 · 414 citations

    1st authorCorresponding
    • Medicine
    • Internal medicine
  • Inadequate Physical Activity and Sedentary Behavior Are Independent Predictors of Nonalcoholic Fatty Liver Disease

    Hepatology · 2020 · 161 citations

    1st authorCorresponding
    • Medicine
    • Internal medicine
    • Physical therapy

    BACKGROUND AND AIMS: In general, physical activity (PA) and nonalcoholic fatty liver disease (NAFLD) have an inverse association. However, studies assessing the impact of the widely accepted Physical Activity Guidelines for Americans (PA Guidelines) on NAFLD are lacking. APPROACH AND RESULTS: We performed a serial, cross-sectional analysis among adults by using the 2007-2016 US National Health and Nutrition Examination Survey. NAFLD and advanced fibrosis were defined by using various noninvasive panels. A PA questionnaire assessed the leisure-time PA, occupation-related PA, transportation-related PA, and total sitting time as sedentary behavior. PA was categorized according to the PA Guidelines. Of the 24,588 individuals (mean age, 47.4 years; 47.9% males), leisure-time PA (≥150 minutes per week) demonstrated 40% lower odds of NAFLD, whereas transportation-related PA was associated with a 33% risk reduction in NAFLD. Analysis of total PA and sitting times simultaneously showed a dose-response association between sitting time and NAFLD (P for trend < 0.001). Compliance with the PA Guidelines was lower in individuals with NAFLD versus those without NAFLD. The trends in compliance with the PA Guidelines for any type of PA remained stable in individuals with NAFLD except for a downtrend in transportation-related PA. In contrast, an improvement in compliance with the PA Guidelines for leisure time was noted in the cohort without NAFLD. Although PA demonstrated a 10% stronger association with risk reduction of NAFLD in women, women showed a lower tendency of meeting the PA Guidelines. Trends in total sitting time increased significantly regardless of NAFLD status. CONCLUSIONS: Sedentary behavior emerged as an independent predictor of NAFLD. Overall compliance with the PA Guidelines was lower in the cohort with NAFLD, with sex- and ethnicity-based differences. Implementation of these observations in clinical practice may improve our understanding as well as clinical outcomes.

  • High Prevalence of Concurrent Gastrointestinal Manifestations in Patients With Severe Acute Respiratory Syndrome Coronavirus 2: Early Experience From California

    Gastroenterology · 2020 · 218 citations

    • Medicine
    • Internal medicine
    • Pediatrics
  • Predictors of Outcomes of COVID-19 in Patients With Chronic Liver Disease: US Multi-center Study

    Clinical Gastroenterology and Hepatology · 2020 · 251 citations

    1st authorCorresponding
    • Medicine
    • Internal medicine
    • Gastroenterology

    BACKGROUND & AIMS: Chronic liver disease (CLD) represents a major global health burden. We undertook this study to identify the factors associated with adverse outcomes in patients with CLD who acquire the novel coronavirus-2019 (COVID-19). METHODS: We conducted a multi-center, observational cohort study across 21 institutions in the United States (US) of adult patients with CLD and laboratory-confirmed diagnosis of COVID-19 between March 1, 2020 and May 30, 2020. We performed survival analysis to identify independent predictors of all-cause mortality and COVID-19 related mortality, and multivariate logistic regression to determine the risk of severe COVID-19 in patients with CLD. RESULTS: Of the 978 patients in our cohort, 867 patients (mean age 56.9 ± 14.5 years, 55% male) met inclusion criteria. The overall all-cause mortality was 14.0% (n = 121), and 61.7% (n = 535) had severe COVID-19. Patients presenting with diarrhea or nausea/vomiting were more likely to have severe COVID-19. The liver-specific factors associated with independent risk of higher overall mortality were alcohol-related liver disease (ALD) (hazard ratio [HR] 2.42, 95% confidence interval [CI] 1.29-4.55), decompensated cirrhosis (HR 2.91 [1.70-5.00]) and hepatocellular carcinoma (HCC) (HR 3.31 [1.53-7.16]). Other factors were increasing age, diabetes, hypertension, chronic obstructive pulmonary disease and current smoker. Hispanic ethnicity (odds ratio [OR] 2.33 [1.47-3.70]) and decompensated cirrhosis (OR 2.50 [1.20-5.21]) were independently associated with risk for severe COVID-19. CONCLUSIONS: The risk factors which predict higher overall mortality among patients with CLD and COVID-19 are ALD, decompensated cirrhosis and HCC. Hispanic ethnicity and decompensated cirrhosis are associated with severe COVID-19. Our results will enable risk stratification and personalization of the management of patients with CLD and COVID-19. Clinicaltrials.gov number NCT04439084.

Recent grants

Frequent coauthors

  • Aijaz Ahmed

    Stanford University

    146 shared
  • Won Kim

    Boramae Medical Center

    113 shared
  • George Cholankeril

    Baylor College of Medicine

    96 shared
  • Karn Wijarnpreecha

    Banner - University Medical Center Phoenix

    82 shared
  • Young Sun Kim

    Seoul National University Hospital

    75 shared
  • Seon Hee Lim

    Seoul National University Hospital

    75 shared
  • Hyun Chae Jung

    69 shared
  • Jeong Yoon Yim

    Seoul National University Hospital

    66 shared

Education

  • Certificate, Clinical and Translational Science

    Mayo Clinic Minnesota

    2011
  • PhD, Medical Science

    Seoul National University

    2010
  • MS, Medical Science

    Seoul National University

    2005
  • MD, BA, College of Medicine

    Seoul National University

    1996

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