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Nova · Professor Researcher · re-ranking top 20…

David Lee

· Emeritus Professor of NeurosurgeryVerified

University of Michigan · Department of Neurosurgery

Active 1948–2024

h-index80
Citations22.5k
Papers1.1k216 last 5y
Funding$7.1M
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Research topics

  • Demography
  • Gerontology
  • Internal medicine
  • Environmental health
  • Medicine
  • Pediatrics
  • Psychiatry

Selected publications

  • Multimorbidity patterns and their relationship to mortality in the US older adult population

    PLoS ONE · 2021 · 116 citations

    Senior authorCorresponding
    • Medicine
    • Demography
    • Gerontology

    BACKGROUND: Understanding patterns of multimorbidity in the US older adult population and their relationship with mortality is important for reducing healthcare utilization and improving health. Previous investigations measured multimorbidity as counts of conditions rather than specific combination of conditions. METHODS: This cross-sectional study with longitudinal mortality follow-up employed latent class analysis (LCA) to develop clinically meaningful subgroups of participants aged 50 and older with different combinations of 13 chronic conditions from the National Health Interview Survey 2002-2014. Mortality linkage with National Death Index was performed through December 2015 for 166,126 participants. Survival analyses were conducted to assess the relationships between LCA classes and all-cause mortality and cause specific mortalities. RESULTS: LCA identified five multimorbidity groups with primary characteristics: "healthy" (51.5%), "age-associated chronic conditions" (33.6%), "respiratory conditions" (7.3%), "cognitively impaired" (4.3%) and "complex cardiometabolic" (3.2%). Covariate-adjusted survival analysis indicated "complex cardiometabolic" class had the highest mortality with a Hazard Ratio (HR) of 5.30, 99.5% CI [4.52, 6.22]; followed by "cognitively impaired" class (3.34 [2.93, 3.81]); "respiratory condition" class (2.14 [1.87, 2.46]); and "age-associated chronic conditions" class (1.81 [1.66, 1.98]). Patterns of multimorbidity classes were strongly associated with the primary underlying cause of death. The "cognitively impaired" class reported similar number of conditions compared to the "respiratory condition" class but had significantly higher mortality (3.8 vs 3.7 conditions, HR = 1.56 [1.32, 1.85]). CONCLUSION: We demonstrated that LCA method is effective in classifying clinically meaningful multimorbidity subgroup. Specific combinations of conditions including cognitive impairment and depressive symptoms have a substantial detrimental impact on the mortality of older adults. The numbers of chronic conditions experienced by older adults is not always proportional to mortality risk. Our findings provide valuable information for identifying high risk older adults with multimorbidity to facilitate early intervention to treat chronic conditions and reduce mortality.

  • Patterns of Chronic Conditions and Their Association With Visual Impairment and Health Care Use

    JAMA Ophthalmology · 2020 · 48 citations

    Senior authorCorresponding
    • Medicine
    • Demography
    • Gerontology

    Importance: Visual impairment and visual disorders often co-occur with other chronic conditions. Understanding patterns of multimorbidity is important for reducing health care use and improving health outcomes. Objective: To identify chronic condition patterns and their association with visual impairment and health care use in a nationally representative sample. Design, Setting, and Participants: This cross-sectional study used National Health Interview Survey data for 387 780 individuals aged 18 years and older, representative of the civilian noninstitutionalized US population, from January 1, 2002, to December 31, 2014. Statistical analysis was performed from June to November 2018. Exposures: Participants were classified in subgroups with different combinations of self-reported chronic conditions using latent class analysis. Main Outcomes and Measures: Self-reported visual impairment, emergency department visit, and hospitalization use in the previous 12 months. Results: Among the 387 780 individuals included in the study, 51.8% were female, 77.6% were white, and the mean (SD) age was 46.2 (18.0) years. Latent class analysis identified 5 different classes, with 70.5% of the participants belonging to the healthy group. The other 4 groups represented various degrees and patterns of multimorbidity. The hypertensive group (19.6%) had a high prevalence of hypertension (62.6%), the respiratory conditions group (4.4%) had a high prevalence of emphysema (47.7%) and asthma (45.6%), the heart disease group (3.6%) had high prevalence of coronary heart disease (69.8%), and the severely impaired group (1.8%) had higher prevalence of most conditions compared with the other groups. In the adjusted analysis, compared with the healthy group, participants in all 4 disease groups had elevated risk of visual impairment: heart condition group (odds ratio [OR], 3.19; 95% CI, 2.92-3.48), hypertensive group (OR, 3.28; 95% CI, 3.10-3.48), respiratory condition group (OR, 3.87; 95% CI, 3.56-4.20), and severely impaired group (OR, 10.19; 95% CI, 9.20-11.28). All 4 disease groups had elevated risk of reporting emergency department use and hospitalization. For the severely impaired group, the OR for emergency department use was 9.39 (95% CI, 8.53-10.34), and the OR for hospitalization was 10.80 (95% CI, 9.80-11.92). Conclusions and Relevance: In this study, individuals in all 4 multimorbidity groups had an elevated risk of visual impairment and health care use compared with the healthy group. Characteristics of high-risk groups identified by this study may help in the development and implementation of interventions to avert the more serious consequences of having multiple chronic conditions.

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