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Edmonds EC, Thomas KR, Rapcsak SZ, Lindemer SL, Delano‐Wood L, Salmon DP, Bondi MW. Data-driven classification of cognitively normal and mild cognitive impairment subtypes predicts progression in the NACC dataset. Alzheimers Dement 2024; 20:3442-3454. [PMID: 38574399 PMCID: PMC11095435 DOI: 10.1002/alz.13793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/20/2023] [Accepted: 02/23/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Data-driven neuropsychological methods can identify mild cognitive impairment (MCI) subtypes with stronger associations to dementia risk factors than conventional diagnostic methods. METHODS Cluster analysis used neuropsychological data from participants without dementia (mean age = 71.6 years) in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (n = 26,255) and the "normal cognition" subsample (n = 16,005). Survival analyses examined MCI or dementia progression. RESULTS Five clusters were identified: "Optimal" cognitively normal (oCN; 13.2%), "Typical" CN (tCN; 28.0%), Amnestic MCI (aMCI; 25.3%), Mixed MCI-Mild (mMCI-Mild; 20.4%), and Mixed MCI-Severe (mMCI-Severe; 13.0%). Progression to dementia differed across clusters (oCN < tCN < aMCI < mMCI-Mild < mMCI-Severe). Cluster analysis identified more MCI cases than consensus diagnosis. In the "normal cognition" subsample, five clusters emerged: High-All Domains (High-All; 16.7%), Low-Attention/Working Memory (Low-WM; 22.1%), Low-Memory (36.3%), Amnestic MCI (16.7%), and Non-amnestic MCI (naMCI; 8.3%), with differing progression rates (High-All < Low-WM = Low-Memory < aMCI < naMCI). DISCUSSION Our data-driven methods outperformed consensus diagnosis by providing more precise information about progression risk and revealing heterogeneity in cognition and progression risk within the NACC "normal cognition" group.
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Affiliation(s)
- Emily C. Edmonds
- Banner Alzheimer's InstituteTucsonArizonaUSA
- Departments of Neurology and PsychologyUniversity of ArizonaTucsonArizonaUSA
| | - Kelsey R. Thomas
- Research Service, Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Steven Z. Rapcsak
- Banner Alzheimer's InstituteTucsonArizonaUSA
- Departments of Neurology and PsychologyUniversity of ArizonaTucsonArizonaUSA
- Department of Speech, Language, & Hearing SciencesUniversity of ArizonaTucsonArizonaUSA
| | | | - Lisa Delano‐Wood
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
- Psychology Service, Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - David P. Salmon
- Department of NeurosciencesUniversity of California, San DiegoLa JollaCaliforniaUSA
| | - Mark W. Bondi
- Department of PsychiatryUniversity of California, San DiegoLa JollaCaliforniaUSA
- Psychology Service, Veterans Affairs San Diego Healthcare SystemSan DiegoCaliforniaUSA
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Dean LT, Chung SE, Gross AL, Clay OJ, Willis SL, McDonough IM, Thomas KR, Marsiske M, Aysola J, Thorpe RJ, Felix C, Berkowitz M, Coe NB. Does Consumer Credit Precede or Follow Health Among Older Adults? An Investigation in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) Trial. Innov Aging 2024; 8:igae016. [PMID: 38511203 PMCID: PMC10953618 DOI: 10.1093/geroni/igae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Indexed: 03/22/2024] Open
Abstract
Background and Objectives Consumer credit has shown increasing relevance to the health of older adults; however, studies have not been able to assess the extent to which creditworthiness influences future health or health influences future creditworthiness. We assessed the relationships between 4-year pre and postmorbid consumer credit history and self-rated physical and mental health outcomes among older adults. Research Design and Methods Generalized estimating equations models assessed pre and postmorbid credit history (credit scores, derogatory accounts, and unpaid accounts in collections) and the onset of poor self-rated health (SF-36 score <50) among 1,740 participants aged 65+ in the Advanced Cognitive Training for Independent and Vital Elderly study from 2001 to 2017, linked to TransUnion consumer credit data. Results In any given year, up to 1/4 of participants had a major derogatory, unpaid, or collections account, and up to 13% of the sample had poor health. Each 50-point increase in credit score trended toward a 5% lower odds of poor health in the next 1 year, a 6% lower odds in the next 2 years, and a statistically significant finding of 13% lower odds by 3 years. A drop in credit score was associated with a 10% greater odds of poor health in the next year, and having a major derogatory account was associated with an 86% greater odds of poor health in the next 3 years. After poor health onset, credit scores continued to see significant losses up to the 3 years, with larger decrements over time. Discussion and Implications Having a major derogatory account or a sudden loss in credit may be a time to monitor older adults for changes in health. After a downturn in health, supporting older adults to manage their debt may help stabilize their credit.
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Affiliation(s)
- Lorraine T Dean
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Shang-En Chung
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Alden L Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Olivio J Clay
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- University of Alabama at Birmingham Alzheimer’s Disease Research Center, Birmingham, Alabama, USA
| | - Sherry L Willis
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA
| | - Ian M McDonough
- Department of Psychology, University of Alabama, Tuscaloosa, Alabama, USA
| | - Kelsey R Thomas
- VA San Diego Healthcare System and Department of Psychiatry, University of California, San Diego School of Medicine, San Diego, California, USA
| | - Michael Marsiske
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - Jaya Aysola
- Department of Medicine and Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Roland J Thorpe
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Johns Hopkins Alzheimer’s Disease Resource Center for Minority Aging Research, Baltimore, Maryland, USA
| | - Cynthia Felix
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Melissa Berkowitz
- Department of Medical Ethics and Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Norma B Coe
- Department of Medical Ethics and Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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May AM. Sleep-disordered Breathing and Inpatient Outcomes in Nonsurgical Patients: Analysis of the Nationwide Inpatient Cohort. Ann Am Thorac Soc 2023; 20:1784-1790. [PMID: 37748082 PMCID: PMC10704237 DOI: 10.1513/annalsats.202305-469oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 09/25/2023] [Indexed: 09/27/2023] Open
Abstract
Rationale: Sleep-disordered breathing (SDB) is associated with increased complications and length of stay (LOS) after surgery. SDB-related adverse consequences for nonsurgical admissions are not well defined. Objectives: Evaluate associations between SDB and subtypes and LOS, cost, and mortality in nonsurgical patients. Methods: This retrospective cohort analysis used adult nonsurgical admissions from the 2017 National Inpatient Sample of the Healthcare Costs and Utilization Project. SDB associations with LOS (primary outcome), costs, and mortality were evaluated via logistic regression. Covariates included age, sex, Elixhauser Comorbidity Index, socioeconomic status, hospital type, and insurance type. Results: The cohort included 6,046,544 hospitalizations. Compared with those without SDB, patients with SDB were older (63.6 ± 13.5 vs. 57.4 ± 20.7 yr), higher proportion male (55.8% vs. 40.9%), and more likely to be White (75.7% vs. 66.5%). SDB was associated with increased odds of increased LOS and hospitalization costs (odds ratio [OR], 1.17; 95% confidence interval [CI], 1.16-1.17 and OR, 1.67; 95% CI, 1.66-1.67 in adjusted analyses, respectively) but lower mortality (OR, 0.79; 95% CI, 0.77-0.81). The results for obstructive sleep apnea (OSA) echoed those for SDB. Obesity hypoventilation syndrome had substantially increased LOS (OR, 3.05; 95% CI, 2.98-3.13), mortality (1.76; 95% CI, 1.66-1.86), and costs (OR, 2.67; 95% CI, 2.60-2.73) even after adjustment. Conclusions: Obesity hypoventilation syndrome is associated with higher LOS, mortality, and costs during hospitalization, whereas OSA, despite higher LOS and costs, is associated with decreased mortality. Investigation is warranted on whether paradoxically higher costs but lower mortality in OSA may be indicative of less vigilance in hospitalized patients with undiagnosed SDB.
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Affiliation(s)
- Anna M May
- Geriatrics Research, Education, and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland, Ohio; University Hospitals Cleveland Medical Center, Cleveland, Ohio; and School of Medicine, Case Western Reserve University, Cleveland, Ohio
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