1
|
Pollack LR, Nomitch JT, Downey L, Paul SR, Reed MJ, Uyeda AM, Kiker WA, Dotolo DG, Dzeng E, Lee RY, Engelberg RA, Kross EK. Mechanical Ventilation in Older Adults With Dementia: Opportunities to Promote Goal-Concordant Care. J Pain Symptom Manage 2024; 68:142-152.e2. [PMID: 38685288 PMCID: PMC11239300 DOI: 10.1016/j.jpainsymman.2024.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 02/07/2024] [Accepted: 04/20/2024] [Indexed: 05/02/2024]
Abstract
CONTEXT Recent studies show increasing use of mechanical ventilation among people living with dementia. There are concerns that this trend may not be driven by patient preferences. OBJECTIVES To better understand decision-making regarding mechanical ventilation in people living with dementia. METHODS This was an electronic health record-based retrospective cohort study of older adults with dementia (n = 295) hospitalized at one of two teaching hospitals between 2015 and 2019 who were supported with mechanical ventilation (n = 191) or died without mechanical ventilation (n = 104). Multivariable logistic regression was used to examine associations between patient characteristics and mechanical ventilation use. RESULTS The median age was 78 years (IQR 71-86), 41% were female, 28% resided in a nursing home, and 58% had clinical markers of advanced dementia (dehydration, weight loss, mobility limitations, or pressure ulcers). Among patients supported with mechanical ventilation, 70% were intubated within 24 hours of presentation, including 31% intubated before hospital arrival. Younger age, higher illness acuity, and absence of a treatment-limiting Physician Orders for Life-Sustaining Treatment document were associated with mechanical ventilation use; nursing home residence and clinical markers of advanced dementia were not. Most patients (89%) had a documented goals of care discussion (GOCD) during hospitalization. CONCLUSION Future efforts to promote goal-concordant care surrounding mechanical ventilation use for people living with dementia should involve identifying barriers to goal-concordant care in pre-hospital settings, assessing the timeliness of in-hospital GOCD, and developing strategies for in-the-moment crisis communication across settings.
Collapse
Affiliation(s)
- Lauren R Pollack
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA.
| | - Jamie T Nomitch
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Lois Downey
- Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Sudiptho R Paul
- University of Washington School of Medicine (S.R.P.), Seattle, Washington, USA
| | - May J Reed
- Division of Geriatric Medicine (M.J.R.), University of Washington, Seattle, Washington, USA
| | - Alison M Uyeda
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Whitney A Kiker
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Danae G Dotolo
- Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Elizabeth Dzeng
- Department of Medicine (E.D.), University of California San Francisco, San Francisco, California, USA
| | - Robert Y Lee
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Ruth A Engelberg
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| | - Erin K Kross
- Division of Pulmonary (L.R.P., J.T.M., A.M.U., W.A.K., R.Y.L., R.A.E., E.K.K.), Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, USA; Cambia Palliative Care Center of Excellence (L.R.P., J.T.M., A.M.U., W.A.K., D.G.D. R.Y.L., R.A.E., E.K.K.), University of Washington, Seattle, Washington, USA
| |
Collapse
|
2
|
Niznik J, Lund JL, Hanson LC, Colón-Emeric C, Kelley CJ, Gilliam M, Thorpe CT. A comparison of dementia diagnoses and cognitive function measures in Medicare claims and the Minimum Data Set. J Am Geriatr Soc 2024; 72:2381-2390. [PMID: 38814274 PMCID: PMC11323171 DOI: 10.1111/jgs.19019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/11/2024] [Accepted: 05/03/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Gold standard dementia assessments are rarely available in large real-world datasets, leaving researchers to choose among methods with imperfect but acceptable accuracy to identify nursing home (NH) residents with dementia. In healthcare claims, options include claims-based diagnosis algorithms, diagnosis indicators, and cognitive function measures in the Minimum Data Set (MDS), but few studies have compared these. We evaluated the proportion of NH residents identified with possible dementia and concordance of these three. METHODS Using a 20% random sample of 2018-2019 Medicare beneficiaries, we identified MDS admission assessments for non-skilled NH stays among individuals with continuous enrollment in Medicare Parts A, B, and D. Dementia was identified using: (1) Chronic Conditions Warehouse (CCW) claims-based algorithm for Alzheimer's disease and non-Alzheimer's dementia; (2) MDS active diagnosis indicators for Alzheimer's disease and non-Alzheimer's dementias; and (3) the MDS Cognitive Function Scale (CFS) (at least mild cognitive impairment). We compared the proportion of admissions with evidence of possible dementia using each criterion and calculated the sensitivity, specificity, and agreement of the CCW claims definition and MDS indicators for identifying any impairment on the CFS. RESULTS Among 346,013 non-SNF NH admissions between 2018 and 2019, 57.2% met criteria for at least one definition (44.7% CFS, 40.7% CCW algorithm, 26.0% MDS indicators). The MDS CFS uniquely identified the greatest proportion with evidence of dementia. The CCW claims algorithm had 63.7% sensitivity and 78.1% specificity for identifying any cognitive impairment on the CFS. Active diagnosis indicators from the MDS had lower sensitivity (47.0%), but higher specificity (91.0%). CONCLUSIONS Claims- and MDS-based methods for identifying NH residents with possible dementia have only partial overlap in the cohorts they identify, and neither is an obvious gold standard. Future studies should seek to determine whether additional functional assessments from the MDS or prescriptions can improve identification of possible dementia in this population.
Collapse
Affiliation(s)
- Joshua Niznik
- Division of Geriatric Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
- Center for Aging and Health, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, NC, USA
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Jennifer L. Lund
- Department of Epidemiology, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Laura C. Hanson
- Division of Geriatric Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
- Center for Aging and Health, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
| | - Cathleen Colón-Emeric
- Division of Geriatrics, Duke University School of Medicine, Durham, NC, USA
- Durham VA Geriatric Research Education and Clinical Center, Durham, NC, USA
| | - Casey J. Kelley
- Center for Aging and Health, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
| | - Meredith Gilliam
- Division of Geriatric Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
- Center for Aging and Health, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USA
| | - Carolyn T. Thorpe
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Eshelman School of Pharmacy, Chapel Hill, NC, USA
- Center for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, PA, USA
| |
Collapse
|
3
|
Li Y, Menon G, Long JJ, Chen Y, Metoyer GT, Wu W, Crews DC, Purnell TS, Thorpe RJ, Hill CV, Szanton SL, Segev DL, McAdams-DeMarco MA. Neighborhood Racial and Ethnic Segregation and the Risk of Dementia in Older Adults Living with Kidney Failure. J Am Soc Nephrol 2024; 35:936-948. [PMID: 38671538 PMCID: PMC11230717 DOI: 10.1681/asn.0000000000000359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
Key Points
Regardless of race and ethnicity, older adults with kidney failure residing in or receiving care at dialysis facilities located in high-segregation neighborhoods were at a 1.63-fold and 1.53-fold higher risk of dementia diagnosis, respectively.Older adults with kidney failure residing in minority-predominant high-segregation neighborhoods had a 2.19-fold higher risk of dementia diagnosis compared with White individuals in White-predominant neighborhoods.
Background
Dementia disproportionately affects older minoritized adults with kidney failure. To better understand the mechanism of this disparity, we studied the role of racial and ethnic segregation (segregation hereafter), i.e., a form of structural racism recently identified as a mechanism in numerous other health disparities.
Methods
We identified 901,065 older adults (aged ≥55 years) with kidney failure from 2003 to 2019 using the United States Renal Data System. We quantified dementia risk across tertiles of residential neighborhood segregation score using cause-specific hazard models, adjusting for individual- and neighborhood-level factors. We included an interaction term to quantify the differential effect of segregation on dementia diagnosis by race and ethnicity.
Results
We identified 79,851 older adults with kidney failure diagnosed with dementia between 2003 and 2019 (median follow-up: 2.2 years). Compared with those in low-segregation neighborhoods, older adults with kidney failure in high-segregation neighborhoods had a 1.63-fold (95% confidence interval [CI], 1.60 to 1.66) higher risk of dementia diagnosis, an association that differed by race and ethnicity (Asian: adjusted hazard ratio [aHR] = 1.26, 95% CI, 1.15 to 1.38; Black: aHR = 1.66, 95% CI, 1.61 to 1.71; Hispanic: aHR = 2.05, 95% CI, 1.93 to 2.18; White: aHR = 1.59, 95% CI, 1.55 to 1.64; P
interaction < 0.001). Notably, older Asian (aHR = 1.76; 95% CI, 1.64 to 1.89), Black (aHR = 2.65; 95% CI, 2.54 to 2.77), Hispanic (aHR = 2.15; 95% CI, 2.04 to 2.26), and White (aHR = 2.20; 95% CI, 2.09 to 2.31) adults with kidney failure residing in minority-predominant high-segregation neighborhoods had a higher risk of dementia diagnosis compared with older White adults with kidney failure in White-predominant high-segregation neighborhoods. Moreover, older adults with kidney failure receiving care at dialysis facilities located in high-segregation neighborhoods also experienced a higher risk of dementia diagnosis (aHR = 1.53; 95% CI, 1.50 to 1.56); this association differed by race and ethnicity (P
interaction < 0.001).
Conclusions
Residing in or receiving care at dialysis facilities located in high-segregation neighborhoods was associated with a higher risk of dementia diagnosis among older individuals with kidney failure, particularly minoritized individuals.
Collapse
Affiliation(s)
- Yiting Li
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Gayathri Menon
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Jane J Long
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Yusi Chen
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Garyn T Metoyer
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Wenbo Wu
- Department of Medicine, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Deidra C Crews
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tanjala S Purnell
- Division of Transplantation, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Roland J Thorpe
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Sarah L Szanton
- Johns Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins University School of Nursing, Baltimore, Maryland
| | - Dorry L Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Mara A McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| |
Collapse
|
4
|
Pollack LR, Downey L, Nomitch JT, Lee RY, Engelberg RA, Weiss NS, Kross EK, Khandelwal N. Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure. Ann Am Thorac Soc 2024; 21:907-915. [PMID: 38323911 PMCID: PMC11160134 DOI: 10.1513/annalsats.202308-694oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 02/05/2024] [Indexed: 02/08/2024] Open
Abstract
Rationale: Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. Objective: To identify risk factors, in particular whether an early goals-of-care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. Methods: We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ⩾48 h of mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (⩾$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Results: Patients in the sample had a median age of 71 (IQR, 62-79) years. Approximately half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. More than half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had a 50% lower risk of a high-cost hospitalization (risk ratio, 0.50; 95% confidence interval, 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with a lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU compared with a medical ICU were associated with a higher likelihood of high-cost hospitalization. Conclusions: Early GOCDs for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.
Collapse
Affiliation(s)
- Lauren R. Pollack
- Division of Pulmonary, Critical Care, and Sleep Medicine
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | - Lois Downey
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | - Jamie T. Nomitch
- Division of Pulmonary, Critical Care, and Sleep Medicine
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | - Robert Y. Lee
- Division of Pulmonary, Critical Care, and Sleep Medicine
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | - Ruth A. Engelberg
- Division of Pulmonary, Critical Care, and Sleep Medicine
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | | | - Erin K. Kross
- Division of Pulmonary, Critical Care, and Sleep Medicine
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| | - Nita Khandelwal
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington; and
- Cambia Palliative Care Center of Excellence, UW Medicine, Seattle, Washington
| |
Collapse
|
5
|
Kim H(D, Duberstein PR, Lin H, Wu B, Zafar A, Jarrín OF. Home Health Care and Hospice Use Among Medicare Beneficiaries With and Without a Diagnosis of Dementia. J Palliat Med 2024; 27:776-783. [PMID: 38359388 PMCID: PMC11310562 DOI: 10.1089/jpm.2023.0583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2024] [Indexed: 02/17/2024] Open
Abstract
Background: Home health care is a core benefit of Medicare and Medicaid insurance programs and includes services to improve health, maintain health, or slow health decline. Objective: To examine the relationship between home health care use during the last three years of life and hospice use in the last six months of life among Medicare beneficiaries with and without dementia. Design: Nationally representative retrospective cohort study. Setting/Subjects: Medicare beneficiaries with at least three years of continuous enrollment who died in 2019 in the United States (n = 2,169,422). Measurements: The primary outcome was hospice use, and the secondary outcome was hospice duration. The independent variable was a composite of the presence and timing of home health care initiation during the last three years of life. Results: Home health care was used by 46.4% of Medicare beneficiaries and hospice care was used by 53.1% of beneficiaries, with 28.3% using both. Compared with beneficiaries who did not use home health care, those who started home health care before the last year of life (odds ratio [OR] = 1.57, 95% confidence interval [CI] = 1.56-1.58) or during the last year of life (OR = 1.75, 95% CI = 1.74-1.77) were more likely to use hospice. The effects were stronger in those without a diagnosis of dementia (OR = 1.92, 95% CI = 1.90-1.94) compared with those without a dementia diagnosis (OR = 1.34, 95% CI = 1.32-1.35) who started home health in the final year of life. Conclusions: Receiving home health care in the final years of life is associated with increased hospice use at the end-of-life in Medicare beneficiaries with and without a dementia diagnosis.
Collapse
Affiliation(s)
| | - Paul R. Duberstein
- School of Public Health, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - Haiqun Lin
- School of Nursing, Rutgers, The State University of New Jersey, Newark, New Jersey, USA
| | - Bei Wu
- Rory Meyers College of Nursing, New York, New York, USA
- NYU Aging Incubator, New York University, New York, New York, USA
| | - Anum Zafar
- Institute for Health, Health Care Policy, and Aging Research, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Olga F. Jarrín
- School of Nursing, Rutgers, The State University of New Jersey, Newark, New Jersey, USA
- Institute for Health, Health Care Policy, and Aging Research, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA
| |
Collapse
|
6
|
Orimaye SO, Schmidtke KA. Combining artificial neural networks and a marginal structural model to predict the progression from depression to Alzheimer's disease. FRONTIERS IN DEMENTIA 2024; 3:1362230. [PMID: 39081615 PMCID: PMC11285640 DOI: 10.3389/frdem.2024.1362230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/21/2024] [Indexed: 08/02/2024]
Abstract
Introduction Decades of research in population health have established depression as a likely precursor to Alzheimer's disease. A combination of causal estimates and machine learning methods in artificial intelligence could identify internal and external mediating mechanisms that contribute to the likelihood of progression from depression to Alzheimer's disease. Methods We developed an integrated predictive model, combining the marginal structural model and an artificial intelligence predictive model, distinguishing between patients likely to progress from depressive states to Alzheimer's disease better than each model alone. Results The integrated predictive model achieved substantial clinical relevance when using the area under the curve measure. It performed better than the traditional statistical method or a single artificial intelligence method alone. Discussion The integrated predictive model could form a part of a clinical screening tool that identifies patients who are likely to progress from depression to Alzheimer's disease for early behavioral health interventions. Given the high costs of treating Alzheimer's disease, our model could serve as a cost-effective intervention for the early detection of depression before it progresses to Alzheimer's disease.
Collapse
Affiliation(s)
- Sylvester O. Orimaye
- College of Global Population Health, University of Health Sciences and Pharmacy, St. Louis, MO, United States
| | - Kelly A. Schmidtke
- College of Arts and Sciences, University of Health Sciences and Pharmacy, St. Louis, MO, United States
| |
Collapse
|
7
|
Shen B, Ren H, Shardell M, Falvey J, Chen C. Analyzing risk factors for post-acute recovery in older adults with Alzheimer's disease and related dementia: A new semi-parametric model for large-scale medicare claims. Stat Med 2024; 43:1003-1018. [PMID: 38149345 PMCID: PMC10922471 DOI: 10.1002/sim.9982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 10/11/2023] [Accepted: 11/21/2023] [Indexed: 12/28/2023]
Abstract
Nearly 300,000 older adults experience a hip fracture every year, the majority of which occur following a fall. Unfortunately, recovery after fall-related trauma such as hip fracture is poor, where older adults diagnosed with Alzheimer's disease and related dementia (ADRD) spend a particularly long time in hospitals or rehabilitation facilities during the post-operative recuperation period. Because older adults value functional recovery and spending time at home versus facilities as key outcomes after hospitalization, identifying factors that influence days spent at home after hospitalization is imperative. While several individual-level factors have been identified, the characteristics of the treating hospital have recently been identified as contributors. However, few methodological rigorous approaches are available to help overcome potential sources of bias such as hospital-level unmeasured confounders, informative hospital size, and loss to follow-up due to death. This article develops a useful tool equipped with unsupervised learning to simultaneously handle statistical complexities that are often encountered in health services research, especially when using large administrative claims databases. The proposed estimator has a closed form, thus only requiring light computation load in a large-scale study. We further develop its asymptotic properties with stabilized inference assisted by unsupervised clustering. Extensive simulation studies demonstrate superiority of the proposed estimator compared to existing estimators.
Collapse
Affiliation(s)
- Biyi Shen
- Regeneron Pharmaceuticals, New Jersey, U.S.A
| | - Haoyu Ren
- Department of Mathematics and Statistics, University of Maryland, Baltimore County, Maryland, U.S.A
| | - Michelle Shardell
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Maryland, U.S.A
| | - Jason Falvey
- Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Maryland, U.S.A
| | - Chixiang Chen
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Maryland, U.S.A
| |
Collapse
|
8
|
Park SY, Setiawan VW, Crimmins EM, White LR, Wu AH, Cheng I, Darst BF, Haiman CA, Wilkens LR, Le Marchand L, Lim U. Racial and Ethnic Differences in the Population-Attributable Fractions of Alzheimer Disease and Related Dementias. Neurology 2024; 102:e208116. [PMID: 38232335 PMCID: PMC11097758 DOI: 10.1212/wnl.0000000000208116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/22/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies estimated that modifiable risk factors explain up to 40% of the dementia cases in the United States and that this population-attributable fraction (PAF) differs by race and ethnicity-estimates of future impact based on the risk factor prevalence in contemporary surveys. The aim of this study was to determine the race-specific and ethnicity-specific PAF of late-onset Alzheimer disease and related dementias (ADRDs) based on the risk factor prevalence and associations observed on the same individuals within a prospective cohort. METHODS Data were from Multiethnic Cohort Study participants (African American, Japanese American, Latino, Native Hawaiian, and White) enrolled in Medicare Fee-for-Service. We estimated the PAF based on the prevalence of risk factors at cohort baseline and their mutually adjusted association with subsequent ADRD incidence. Risk factors included low educational attainment and midlife exposures to low neighborhood socioeconomic status, unmarried status, history of hypertension, stroke, diabetes or heart disease, smoking, physical inactivity, short or long sleep duration, obesity, and low-quality diet, as well as APOE ε4 for a subset. RESULTS Among 91,881 participants (mean age 59.3 at baseline, 55.0% female participants), 16,507 incident ADRD cases were identified from Medicare claims (1999-2016, mean follow-up 9.3 years). The PAF for nongenetic factors combined was similar in men (24.0% [95% CI 21.3-26.6]) and women (22.8% [20.3-25.2]) but varied across Japanese American (14.2% [11.1-17.2]), White (21.9% [19.0-24.7]), African American (27.8% [22.3-33.0]), Native Hawaiian (29.3% [21.0-36.7]), and Latino (33.3% [27.5-38.5]) groups. The combined PAF was attenuated when accounting for competing risk of death, in both men (10.4%) and women (13.9%) and across racial and ethnic groups (4.7%-25.5%). The combined PAF was also different by age at diagnosis and ADRD subtypes, higher for younger (65-74 years: 43.2%) than older (75-84 years: 32.4%; ≥85 years: 11.3%) diagnoses and higher for vascular or unspecified ADRD than for AD or Lewy body dementia. An additional PAF of 11.8% (9.9-13.6) was associated with APOE ε4, which together with nongenetic risk factors accounted for 30.6% (25.8-35.1) of ADRD. DISCUSSION Known risk factors explained about a third of the ADRD cases but with unequal distributions across racial and ethnic groups.
Collapse
Affiliation(s)
- Song-Yi Park
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Veronica Wendy Setiawan
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Eileen M Crimmins
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Lon R White
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Anna H Wu
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Iona Cheng
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Burcu F Darst
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Christopher A Haiman
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Lynne R Wilkens
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Loїc Le Marchand
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| | - Unhee Lim
- From the Population Sciences in the Pacific Program (S.-Y.P., L.R. Wilkens, L.L.M., U.L.), University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu; Department of Population and Public Health Sciences (V.W.S., A.H.W., C.A.H.), Keck School of Medicine and Norris Comprehensive Cancer Center, and Leonard Davis School of Gerontology (E.M.C.), Andrus Gerontology Center, University of Southern California, Los Angeles; Pacific Health Research and Education Institute (L.R. White), Honolulu, HI; Department of Epidemiology and Biostatistics (I.C.), University of California, San Francisco; and Public Health Sciences Division (B.F.D.), Fred Hutchinson Cancer Center, Seattle, WA
| |
Collapse
|
9
|
Costa C, Nardi Cesarini E, Eusebi P, Franchini D, Casucci P, De Giorgi MF, Calvello C, Paolini Paoletti F, Romoli M, Parnetti L. Incidence and Risk Factors Epilepsy in Patients with Dementia: A Population-Based Study Using Regional Healthcare Databases in Umbria. J Alzheimers Dis 2024; 98:1533-1542. [PMID: 38607757 DOI: 10.3233/jad-231309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
Background Dementia is prevalent among the elderly, also representing a risk for seizures/epilepsy. Estimations of epilepsy risk in dementia patients are not widely available. Objective Our research aims to ascertain the incidence of epilepsy and its associated risk factors in subjects with dementia in the Umbria region, based on data from healthcare databases. Methods In this retrospective study based on the healthcare administrative database of Umbria, we identified all patients diagnosed with dementia from 2013 to 2017, based on ICD-9-CM codes. For epilepsy ascertainment, we used a validated algorithm that required an EEG and the prescription of one or more anti-seizure medications post-dementia diagnosis. A case-control analysis was conducted, matching five non-dementia subjects by gender and age to each dementia patient. Cox proportional hazards models were then utilized in the analysis. Results We identified 7,314 dementia cases, also including 35,280 age- and sex-matched control subjects. Out of patients with dementia, 148 individuals (2.02%) were diagnosed with epilepsy. We observed a progressive increase in the cumulative incidence of seizures over time, registering 1.45% in the first year following the diagnosis, and rising to 1.96% after three years. Analysis using Cox regression revealed a significant association between the development of epilepsy and dementia (HR = 4.58, 95% CI = 3.67-5.72). Additional risk factors were male gender (HR = 1.35, 95% CI = 1.07-1.69) and a younger age at dementia onset (HR = 1.03, 95% CI=1.02-1.04). Conclusions Dementia increases epilepsy risk, especially with early onset and male gender. Clinicians should have a low threshold to suspect seizures in dementia cases.
Collapse
Affiliation(s)
- Cinzia Costa
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
| | - Elena Nardi Cesarini
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
- UOC Neurologia, Ospedali Riuniti Marche Nord, Fano-Pesaro, Italy
| | - Paolo Eusebi
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
| | - David Franchini
- Health ICT Service, Regional Health Authority of Umbria, Perugia, Italy
| | - Paola Casucci
- Health ICT Service, Regional Health Authority of Umbria, Perugia, Italy
| | | | - Carmen Calvello
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
- UOC Neurologia, SM Goretti, Latina, Italy
| | - Federico Paolini Paoletti
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
| | - Michele Romoli
- Neurology and Stroke Unit, Bufalini Hospital, Cesena, Italy
| | - Lucilla Parnetti
- Department of Medicine and Surgery, Neurology Clinic, University of Perugia, S.M. Misericordia Hospital, Perugia, Italy
| |
Collapse
|
10
|
Carr RH, Eom GD, Brown EE. Attention-Deficit/Hyperactivity Disorder as a Potential Risk Factor for Dementia and Other Neurocognitive Disorders: A Systematic Review. J Alzheimers Dis 2024; 98:773-792. [PMID: 38461502 DOI: 10.3233/jad-230904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Attention-deficit/hyperactivity disorder (ADHD), a common neurodevelopmental condition now recognized to persist into older adulthood, has been postulated to be a risk factor for neurocognitive disorders given the overlap in clinical features and neurobiology, as well as the complex interplay between ADHD and known risk factors for dementia. Studies have emerged assessing this relationship, but there has not yet been a comprehensive systematic review addressing this topic. Objective To assess whether ADHD is a risk factor for neurocognitive disorders and to explore possible mechanisms for such an association. Methods A systematic review of the literature was conducted using Medline, Embase, and PsycINFO from inception until June 4, 2023. Studies were included if they assessed whether or how ADHD may be a risk factor for neurocognitive disorders. Studies were excluded if they were not primary literature, not published in a peer-reviewed journal, not in English, and/or used non-human subjects. Study quality was assessed using the QualSyst tool. Results Sixteen studies met inclusion criteria. Seven studies found a positive association between ADHD and neurocognitive disorders (all-cause dementia in four studies, Alzheimer's disease in three studies, Lewy body dementia in two studies, and mild cognitive impairment in one study). Four studies did not find an association. Five studies pertained to possible mechanisms for an association, including genetics, with minimal significant findings. Conclusions ADHD may be a risk factor for certain neurocognitive disorders, although the evidence base is limited, and the absolute risk is small. Possible explanations include genetic and lifestyle factors.
Collapse
Affiliation(s)
- Rachel H Carr
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Gina D Eom
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Eric E Brown
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Campbell Family Mental Health Research Institute and Division of Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, Canada
| |
Collapse
|
11
|
Gafni T, Weinstein G, Leonard D, Barlow CE, DeFina LF, Pettee Gabriel K, Berry JD, Shuval K. Independent and joint associations of cardiorespiratory fitness and BMI with dementia risk: the Cooper Center Longitudinal Study. BMJ Open 2023; 13:e075571. [PMID: 38086580 PMCID: PMC10729062 DOI: 10.1136/bmjopen-2023-075571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVE This study aimed to examine the association of midlife fitness and body mass index (BMI) with incident dementia later in life. DESIGN AND PARTICIPANTS A cohort study of 6428 individuals (mean age 50.9±7.6 years) from the Cooper Center Longitudinal Study. MEASURES Cardiorespiratory fitness and BMI were assessed twice (1970-1999) during visits to the Cooper Clinic, a preventive medicine clinic in Dallas, Texas. These measures were examined as continuous and categorical variables. As continuous variables, fitness and BMI were examined at baseline (averaged of two examinations) and as absolute change between exams (mean time 2.1±1.8 years). Variables were categorised: unfit versus fit and normal versus overweight/obese. Medicare claims data were used to obtain all-cause dementia incidence (1999-2009). Mean follow-up between midlife examinations and Medicare surveillance was 15.7 ((SD=6.2) years. Multivariable models were used to assess the associations between fitness, BMI and dementia. RESULTS During 40 773 person years of Medicare surveillance, 632 cases of dementia were identified. After controlling for BMI and covariates, each 1-metabolic equivalent increment in fitness was associated with 5% lower (HR 0.95; 95% CI 0.90 to 0.99) dementia risk. In comparison, after controlling for fitness and covariates, each 1 kg/m2 increment in BMI was associated with a 3.0% (HR 1.03; 95% CI 1.00 to 1.07) higher risk for dementia, yet without significance (p=0.051). Similar findings were observed when the exposures were categorised. Changes in fitness and BMI between examinations were not related to dementia. Jointly, participants who were unfit and overweight/obese had the highest (HR 2.28 95% CI 1.57 to 3.32) dementia risk compared with their fit and normal weight counterparts. CONCLUSION Lower midlife fitness is a risk marker for dementia irrespective of weight status. Being unfit coupled with overweight/obese status might increase one's risk for dementia even further.
Collapse
Affiliation(s)
- Tal Gafni
- Department of Epidemiology, University of Haifa, Haifa, Israel
| | - Galit Weinstein
- Department of Epidemiology, University of Haifa, Haifa, Israel
| | - David Leonard
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Carolyn E Barlow
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Laura F DeFina
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabam, USA
| | | | - Kerem Shuval
- Department of Research, The Cooper Institute, Dallas, Texas, USA
| |
Collapse
|
12
|
Falvey JR, Chen C, Johnson A, Ryan KA, Shardell M, Ren H, Reider L, Magaziner J. Associations of Days Spent at Home Before Hip Fracture With Postfracture Days at Home and 1-Year Mortality Among Medicare Beneficiaries Living With Alzheimer's Disease or Related Dementias. J Gerontol A Biol Sci Med Sci 2023; 78:2356-2362. [PMID: 37402643 PMCID: PMC10692421 DOI: 10.1093/gerona/glad158] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Hip fracture is a disabling event experienced disproportionately by older adults with Alzheimer's disease or related dementias (ADRD). Claims information recorded prior to a hip fracture could provide valuable insights into recovery potential for these patients. Thus, our objective was to identify distinct trajectories of claims-based days at home (DAH) before a hip fracture among older adults with ADRD and evaluate associations with postfracture DAH and 1-year mortality. METHODS We conducted a cohort study of 16 576 Medicare beneficiaries living with ADRD who experienced hip fracture between 2010 and 2017. Growth mixture modeling was used to estimate trajectories of DAH assessed from 180 days prior to fracture until index fracture admission, and their joint associations with postfracture DAH trajectories and 1-year mortality. RESULTS Before a hip fracture, a model with 3 distinct latent DAH trajectories was the best fit. Trajectories were characterized based on their temporal patterns as Consistently High (n = 14 980, 90.3%), Low but Increasing (n = 809, 5.3%), or Low and Decreasing (n = 787, 4.7%). Membership in the Low and Decreasing prefracture DAH trajectory was associated with less favorable postfracture DAH trajectories, and a 65% higher 1-year mortality rate (hazard ratio 1.65, 95% confidence interval 1.45-1.87) as compared to those in the Consistently High trajectory. Similar albeit weaker associations with these outcomes were observed for hip fracture survivors in the Low but Improving prefracture DAH trajectory. CONCLUSIONS Distinct prefracture DAH trajectories among hip fracture survivors with ADRD are strongly linked to postfracture DAH and 1-year mortality, which could guide development of tailored interventions.
Collapse
Affiliation(s)
- Jason R Falvey
- Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Chixiang Chen
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Abree Johnson
- Department of Practice, Sciences and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, Maryland, USA
| | - Kathleen A Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Michelle Shardell
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Haoyu Ren
- Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, Maryland, USA
| | - Lisa Reider
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jay Magaziner
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
13
|
Abess AT, Deiner SG, Briggs A, Whitlock EL, Charette KE, Chow VW, Shaefi S, Martinez-Camblor P, O'Malley AJ, Boone MD. Association of neurocognitive disorders with morbidity and mortality in older adults undergoing major surgery in the USA: a retrospective, population-based, cohort study. THE LANCET. HEALTHY LONGEVITY 2023; 4:e608-e617. [PMID: 37924842 PMCID: PMC10654795 DOI: 10.1016/s2666-7568(23)00194-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Neurocognitive disorders become increasingly common as patients age, and increasing numbers of surgical interventions are done on older patients. The aim of this study was to understand the clinical characteristics and outcomes of surgical patients with neurocognitive disorders in the USA in order to guide future targeted interventions for better care. METHODS This retrospective cohort study used claims data for US Medicare beneficiaries aged 65 years and older with a record of inpatient admission for a major diagnostic or therapeutic surgical procedure between Jan 1, 2017, and Dec 31, 2018. Data were retrieved through a data use agreement between Dartmouth Hitchcock Medical Center and US Centers for Medicare and Medicaid Services via the Research Data Assistance Center. The exposure of interest was the presence of a pre-existing neurocognitive disorder as defined by diagnostic code within 3 years of index hospital admission. The primary outcome was mortality at 30 days, 90 days, and 365 days from date of surgery among all patients with available data. FINDINGS Among 5 263 264 Medicare patients who underwent a major surgical procedure, 767 830 (14·59%) had a pre-existing neurocognitive disorder and 4 495 434 (85·41%) had no pre-existing neurocognitive disorder. Adjusting for demographic factors and comorbidities, patients with a neurocognitive disorder had higher 30-day (hazard ratio 1·24 [95% CI 1·23-1·25]; p<0·0001), 90-day (1·25 [1·24-1·26]; p<0·0001), and 365-day mortality (1·25 [1·25-1·26]; p<0·0001) compared with patients without a neurocognitive disorder. INTERPRETATION Our findings suggest that the presence of a neurocognitive disorder is independently associated with an increased risk of mortality. Identification of a neurocognitive disorder before surgery can help clinicians to better disclose risks and plan for patient care after hospital discharge. FUNDING Department of Anesthesiology and Perioperative Medicine at Dartmouth Hitchcock Medical Center.
Collapse
Affiliation(s)
- Alexander T Abess
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
| | - Stacie G Deiner
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Alexandra Briggs
- Department of Surgery, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Elizabeth L Whitlock
- Department of Anesthesia and Perioperative Care, University of California, San Francisco School of Medicine, San Francisco, CA, USA
| | - Kristin E Charette
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Vinca W Chow
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Shahzad Shaefi
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Pablo Martinez-Camblor
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA; Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Alistair James O'Malley
- Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Myles Dustin Boone
- Department of Anesthesiology and Perioperative Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA; Department of Neurology, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| |
Collapse
|
14
|
Schiaffino MK, Schumacher JR, Nalawade V, Nguyen PTN, Yakuta M, Gilbert PE, Dale W, Murphy JD, Moore AA. The disproportionate burden of Alzheimer's disease and related dementias (ADRD) in diverse older adults diagnosed with cancer. J Geriatr Oncol 2023; 14:101610. [PMID: 37666209 PMCID: PMC11086668 DOI: 10.1016/j.jgo.2023.101610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/26/2023] [Accepted: 08/23/2023] [Indexed: 09/06/2023]
Abstract
INTRODUCTION Older adults living with Alzheimer's disease and related dementias (ADRD) who are then diagnosed with cancer are an understudied population. While the role of cognitive impairment during and after cancer treatment have been well-studied, less is understood about patients who are living with ADRD and then develop cancer. The purpose of this study is to contribute evidence about our understanding of this vulnerable population. MATERIALS AND METHODS This was a retrospective cohort study of a linked, representative family of databases of cancer registries and Medicare administrative claims that make up the SEER-Medicare database. Older adults ages 68 and older with a first primary cancer type: breast, cervical, colorectal, lung, oral, or prostate were eligible for inclusion (N = 337,932). Prevalence estimates of ADRD across cancer types and a 5% non-cancer comparison sample were compared by patient factors. RESULTS The overall prevalence of patients who had an ADRD diagnosis anytime in the three years prior to their cancer diagnosis was 5.6%. Patients with ADRD were more likely to be female, older (over age 75), a racial/ethnic minority, single, with multiple chronic conditions, and a tumor diagnosed early (stage I) or were unstaged. Black patients with colorectal and oral cancer had the highest and second highest prevalence of ADRD compared to White patients (13.46% vs 7.95% and 12.64% vs 7.82% respectively, p < .0001). We observed the highest prevalence of ADRD among Black patients for breast (11.85%), cervical (11.98%), lung (8.41%), prostate (4.83), and the 5% sample (9.50%, p > .0001). DISCUSSION The higher prevalence of ADRD among Black and Latine older adults with cancer not only aligns with the trend observed in our non-cancer comparison sample, but also, these findings demonstrate the compounded risk experienced by minoritized older adults over the life course. The greater than expected prevalence of patients with ADRD who go on to develop cancer demonstrates better assessment of cognition is urgently needed. Accurate identification of these vulnerable populations is critical to improve assessment, care coordination, and address inequities in screening and treatment planning.
Collapse
Affiliation(s)
- Melody K Schiaffino
- School of Public Health, San Diego State University, San Diego, CA, USA; Center for Health Equity, Education, and Research, School of Medicine, UC San Diego, La Jolla, CA, USA; Division of Radiation Medicine and Applied Sciences, School of Medicine, UC San Diego, La Jolla, CA, USA; Division of Geriatrics, Gerontology, and Palliative Medicine, UC San Diego, CA, USA.
| | - Jessica R Schumacher
- Department of Surgery, School of Medicine, UNC Chapel Hill, Chapel Hill, NC, USA.
| | - Vinit Nalawade
- Division of Radiation Medicine and Applied Sciences, School of Medicine, UC San Diego, La Jolla, CA, USA.
| | - Phuong Thi Ngoc Nguyen
- Interdisciplinary Graduate Program in Informatics, University of Iowa, Iowa City, IA, USA.
| | - Melissa Yakuta
- San Diego Health and Human Services Agency, San Diego, CA, USA.
| | - Paul E Gilbert
- Department of Psychology, San Diego State University, San Diego, CA, USA.
| | - William Dale
- Department of Supportive Care Medicine, City of Hope, Duarte, CA, USA.
| | - James D Murphy
- Center for Health Equity, Education, and Research, School of Medicine, UC San Diego, La Jolla, CA, USA; Division of Radiation Medicine and Applied Sciences, School of Medicine, UC San Diego, La Jolla, CA, USA.
| | - Alison A Moore
- Division of Geriatrics, Gerontology, and Palliative Medicine, UC San Diego, CA, USA.
| |
Collapse
|
15
|
Rebok GW, Gellert A, Coe NB, Clay OJ, Wallace G, Parisi JM, Aiken-Morgan AT, Crowe M, Ball K, Thorpe RJ, Marsiske M, Zahodne LB, Felix C, Willis SL. Effects of Cognitive Training on Alzheimer's Disease and Related Dementias: The Moderating Role of Social Determinants of Health. J Aging Health 2023; 35:40S-50S. [PMID: 37994850 DOI: 10.1177/08982643231203755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
Objective: We examined whether social determinants of health (SDoH) are associated with Alzheimer's disease and related dementias (ADRD) risk and the effects of cognitive training over a 20-year follow-up period. Methods: Data were obtained from 1605 participants in ACTIVE. SDoH measures were created using baseline data at the individual and neighborhood level. Incident ADRD was defined using administrative claims data (1999-2019). Cause-specific hazard models estimated associations between SDoH and claims-based diagnosed ADRD. Results: Higher scores on neighborhood and built environment were associated with lower ADRD risk. Trained participants obtained a greater degree of protection from ADRD when they had higher scores for SDoH domains associated with health care and education access. However, there were fewer significant SDoH moderation effects on cognitive training than expected. Discussion: Future work should continue to explore culturally tailored cognitive training interventions to reduce ADRD risk associated with SDoH that disproportionately affects racially diverse aging populations.
Collapse
Affiliation(s)
- George W Rebok
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Center on Aging and Health, Johns Hopkins University, Baltimore, MD, USA
| | | | - Norma B Coe
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Olivio J Clay
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- Deep South Resource Center for Minority Aging Research, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gail Wallace
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins University, Baltimore, MD, USA
| | - Jeanine M Parisi
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins University, Baltimore, MD, USA
| | | | - Michael Crowe
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- Deep South Resource Center for Minority Aging Research, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Karlene Ball
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
- Deep South Resource Center for Minority Aging Research, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Roland J Thorpe
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Center on Aging and Health, Johns Hopkins University, Baltimore, MD, USA
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael Marsiske
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Laura B Zahodne
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Cynthia Felix
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sherry L Willis
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| |
Collapse
|
16
|
Lusk JB, Choi S, Clark AG, Johnson K, Ford CB, Greiner MA, Goetz M, Kaufman BG, O'Brien R, O'Brien EC. Dementia and Parkinson's disease diagnoses in electronic health records vs. Medicare claims data: a study of 101,980 linked patients. BMC Neurol 2023; 23:325. [PMID: 37700254 PMCID: PMC10496225 DOI: 10.1186/s12883-023-03361-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/07/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Medicare claims and electronic health record data are both commonly used for research and clinical practice improvement; however, it is not known how concordant diagnoses of neurodegenerative diseases (NDD, comprising dementia and Parkinson's disease) are in these data types. Therefore, our objective was to determine the sensitivity and specificity of neurodegenerative disease (NDD) diagnoses contained in structured electronic health record (EHR) data compared to Medicare claims data. METHODS This was a retrospective cohort study of 101,980 unique patients seen at a large North Carolina health system between 2013-2017, which were linked to 100% North and South Carolina Medicare claims data, to evaluate the accuracy of diagnoses of neurodegenerative diseases in EHRs compared to Medicare claims data. Patients age > 50 who were enrolled in fee-for-service Medicare were included in the study. Patients were classified as having or not having NDD based on the presence of validated ICD-CM-9 or ICD-CM-10 codes associated with NDD or claims for prescription drugs used to treat NDD. EHR diagnoses were compared to Medicare claims diagnoses. RESULTS The specificity of any EHR diagnosis of NDD was 99.0%; sensitivity was 61.3%. Positive predictive value and negative predictive value were 90.8% and 94.1% respectively. Specificity of an EHR diagnosis of dementia was 99.0%, and sensitivity was 56.1%. Specificity of an EHR diagnosis of PD was 99.7%, while sensitivity was 76.1%. CONCLUSIONS More research is needed to investigate under-documentation of NDD in electronic health records relative to Medicare claims data, which has major implications for clinical practice (particularly patient safety) and research using real-world data.
Collapse
Affiliation(s)
- Jay B Lusk
- Duke University School of Medicine, DUMC 3710, Durham, NC, 27710, USA.
- Duke University Fuqua School of Business, Durham, NC, USA.
- Department of Population Health Sciences, Duke University, Durham, NC, USA.
- Department of Neurology, Duke University, Durham, NC, USA.
| | - Sujung Choi
- Janssen Scientific Affairs, Inc, Titusville, NJ, USA
| | - Amy G Clark
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Kim Johnson
- Department of Neurology, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Cassie B Ford
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Melissa A Greiner
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | | | - Brystana G Kaufman
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | | | - Emily C O'Brien
- Department of Population Health Sciences, Duke University, Durham, NC, USA
- Department of Neurology, Duke University, Durham, NC, USA
| |
Collapse
|
17
|
Oh H, White EM, Muench U, Santostefano C, Thapa B, Kosar C, Gadbois EA, Osakwe ZT, Gozalo P, Rahman M. Advanced practice clinician care and end-of-life outcomes for community- and nursing home-dwelling Medicare beneficiaries with dementia. Alzheimers Dement 2023; 19:3946-3964. [PMID: 37070972 PMCID: PMC10523969 DOI: 10.1002/alz.13052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 04/19/2023]
Abstract
INTRODUCTION Older adults with Alzheimer's disease and related dementias (ADRD) often face burdensome end-of-life care transfers. Advanced practice clinicians (APCs)-which include nurse practitioners and physician assistants-increasingly provide primary care to this population. To fill current gaps in the literature, we measured the association between APC involvement in end-of-life care versus hospice utilization and hospitalization for older adults with ADRD. METHODS Using Medicare data, we identified nursing home- (N=517,490) and community-dwelling (N=322,461) beneficiaries with ADRD who died between 2016 and 2018. We employed propensity score-weighted regression methods to examine the association between different levels of APC care during their final 9 months of life versus hospice utilization and hospitalization during their final month. RESULTS For both nursing home- and community-dwelling beneficiaries, higher APC care involvement associated with lower hospitalization rates and higher hospice rates. DISCUSSION APCs are an important group of providers delivering end-of-life primary care to individuals with ADRD. HIGHLIGHTS For both nursing home- and community-dwelling Medicare beneficiaries with ADRD, adjusted hospitalization rates were lower and hospice rates were higher for individuals with higher proportions of APC care involvement during their final 9 months of life. Associations between APC care involvement and both adjusted hospitalization rates and adjusted hospice rates persisted when accounting for primary care visit volume.
Collapse
Affiliation(s)
- Hyesung Oh
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Elizabeth M White
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Ulrike Muench
- Department of Social and Behavioral Sciences, University of California San Francisco School of Nursing, San Francisco, California, USA
| | - Christopher Santostefano
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Bishnu Thapa
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Cyrus Kosar
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Emily A Gadbois
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Zainab Toteh Osakwe
- College of Nursing and Public Health, Adelphi University, Garden City, New York, USA
| | - Pedro Gozalo
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Momotazur Rahman
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| |
Collapse
|
18
|
Zhang Y, Shao H, Zhang M, Li J. Healthcare Utilization and Mortality After Hospice Live Discharge Among Medicare Patients With and Without Alzheimer's Disease and Related Dementias. J Gen Intern Med 2023; 38:2272-2278. [PMID: 36650330 PMCID: PMC10406979 DOI: 10.1007/s11606-023-08031-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/30/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Little is known about post-discharge outcomes among patients who were discharged alive from hospice. OBJECTIVE To compare healthcare utilization and mortality after hospice live discharge among Medicare patients with and without Alzheimer's disease and related dementias (ADRD). DESIGN Retrospective cohort study using Medicare claims data of a 20% random sample of Medicare fee-for-service (FFS) patients. PARTICIPANTS A total of 153,696 Medicare FFS patients experienced live discharge from hospice between 2014 and 2019. MEASURES Two types of burdensome transition (type 1: live discharge from hospice followed by hospitalization and subsequent hospice readmission; type 2: live discharge from hospice followed by hospitalization with the patient deceased in the hospital), acute care utilization, hospice readmission, and mortality in the 30 and 180 days after live discharge and between live discharge and death. RESULTS Compared with non-ADRD patients, ADRD patients were less likely to experience burdensome transitions (type 1: adjusted odds ratio [aOR], 0.94; 95% confidence interval [CI], 0.90-0.98; type 2: aOR, 0.70; 95% CI, 0.65-0.75), more likely to have ED visits (aOR, 1.05; 95% CI, 1.01-1.09), less likely to die (aOR, 0.71; 95% CI, 0.69-0.73), and less likely to be readmitted to hospice (aOR, 0.86; 95% CI, 0.84-0.89) 30 days after live discharge. Results of 180-day post-discharge outcomes were largely consistent with results of 30-day outcomes. Among patients who died as of December 31, 2019, ADRD patients were less likely to be hospitalized (aOR, 0.88; 95% CI, 0.85-0.92) and more likely to be readmitted to hospice (aOR, 1.12; 95% CI, 1.08-1.16) between live discharge and death. Significant racial/ethnicity disparities in acute care utilization and mortality after live discharge existed in both ADRD and non-ADRD groups. CONCLUSION ADRD patients had lower mortality, a longer survival time, a lower rate of hospitalization, and an initially lower but gradually increasing rate of hospice readmission than non-ADRD patients after hospice live discharge. These different trajectories warrant further investigation of the eligibility of their initial hospice enrollment. Black patients had significantly worse outcomes after hospice live discharge compared with White patients.
Collapse
Affiliation(s)
- Yongkang Zhang
- Department of Population Health Sciences, Weill Medical College of Cornell University, 402 East 67th Street, New York, NY, 10065, USA.
| | - Hui Shao
- Center for Drug Evaluation and Safety, Department of Pharmaceutical Outcomes and Policy, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Manyao Zhang
- Department of Population Health Sciences, Weill Medical College of Cornell University, 402 East 67th Street, New York, NY, 10065, USA
| | - Jing Li
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Department of Pharmacy, University of Washington, Seattle, WA, USA
| |
Collapse
|
19
|
Johnston KJ, Loux T, Joynt Maddox KE. Risk Selection and Care Fragmentation at Medicare Accountable Care Organizations for Patients With Dementia. Med Care 2023; 61:570-578. [PMID: 37411003 PMCID: PMC10328553 DOI: 10.1097/mlr.0000000000001876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
BACKGROUND Patients with dementia are a growing and vulnerable population within Medicare. Accountable care organizations (ACOs) are becoming Medicare's dominant care model, but ACO enrollment and care patterns for patients with dementia are unknown. OBJECTIVE The aim of this study was to compare differences in ACO enrollment for patients with versus without dementia, and in risk profiles and ambulatory care among patients with dementia by ACO enrollment status. RESEARCH DESIGN Cohort study assessing the relationships between patient dementia, following-year ACO enrollment, and ambulatory care patterns. SUBJECTS A total of 13,362 (weighted: 45, 499,049) person-years for patients [2761 (weighted: 6,312,304) for dementia patients] ages 65 years and above in the 2015-2019 Medicare Current Beneficiary Survey. MEASURES We assessed differences in ACO enrollment rates for patients with versus without dementia, and in dementia-relevant ambulatory care visit rates and validated care fragmentation indices among patients with dementia by ACO enrollment status. RESULTS Patients with versus without dementia were less likely to be enrolled in (38.3% vs. 44.6%, P<0.001), and more likely to exit (21.1% vs. 13.7%, P<0.01) ACOs. Among patients with dementia, those enrolled versus not enrolled in ACOs had a more favorable social and health risk profile on 6 of 16 measures (P<0.05). There were no differences in rates of dementia-relevant, primary, or specialty care visits. ACO enrollment was associated with 45.7% higher wellness visit rates (P<0.001), and 13.4% more fragmented primary care (P<0.01) spread across 8.7% more distinct physicians (P<0.05). CONCLUSION Medicare ACOs are less likely to enroll and retain patients with dementia than other patients and provide more fragmented primary care without providing additional dementia-relevant ambulatory care visits.
Collapse
Affiliation(s)
- Kenton J Johnston
- General Medical Sciences Division, Washington University School of Medicine
| | - Travis Loux
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University
| | - Karen E Joynt Maddox
- Cardiovascular Division, Washington University School of Medicine, St. Louis, MO
| |
Collapse
|
20
|
Mattke S, Jun H, Chen E, Liu Y, Becker A, Wallick C. Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis. Alzheimers Res Ther 2023; 15:128. [PMID: 37481563 PMCID: PMC10362635 DOI: 10.1186/s13195-023-01272-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/11/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND With the emergence of disease-modifying Alzheimer's treatments, timely detection of early-stage disease is more important than ever, as the treatment will not be indicated for later stages. Contemporary population-level data for detection rates of mild cognitive impairment (MCI), the stage at which treatment would ideally start, are lacking, and detection rates for dementia are only available for subsets of the Medicare population. We sought to compare documented diagnosis rates of MCI and dementia in the full Medicare population with expected rates based on a predictive model. METHODS We performed an observational analysis of Medicare beneficiaries aged 65 and older with a near-continuous enrollment over a 3-year observation window or until death using 100% of the Medicare fee-for-service or Medicare Advantage Plans beneficiaries from 2015 to 2019. Actual diagnoses for MCI and dementia were derived from ICD-10 codes documented in those data. We used the 2000-2016 data of the Health and Retirement Study to develop a prediction model for expected diagnoses for the included population. The ratios between actually diagnosed cases of MCI and dementia over number of cases expected, the observed over expected ratio, reflects the detection rate. RESULTS Although detection rates for MCI cases increased from 2015 to 2019 (0.062 to 0.079), the results mean that 7.4 of 8 million (92%) expected MCI cases remained undiagnosed. The detection rate for MCI was 0.039 and 0.048 in Black and Hispanic beneficiaries, respectively, compared with 0.098 in non-Hispanic White beneficiaries. Individuals dually eligible for Medicare and Medicaid had lower estimated detection rates than their Medicare-only counterparts for MCI (0.056 vs 0.085). Dementia was diagnosed more frequently than expected (1.086 to 1.104) from 2015 to 2019, mostly in non-Hispanic White beneficiaries (1.367) compared with 0.696 in Black beneficiaries and 0.758 in Hispanic beneficiaries. CONCLUSIONS These results highlight the need to increase the overall detection rates of MCI and of dementia particularly in socioeconomically disadvantaged groups.
Collapse
Affiliation(s)
- Soeren Mattke
- Center for Improving Chronic Illness Care, USC Dornsife, University of Southern California, 635 Downey Way, #505N, Los Angeles, CA, 90089, USA.
| | - Hankyung Jun
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Emily Chen
- Center for Improving Chronic Illness Care, USC Dornsife, University of Southern California, 635 Downey Way, #505N, Los Angeles, CA, 90089, USA
| | - Ying Liu
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Andrew Becker
- Center for Improving Chronic Illness Care, USC Dornsife, University of Southern California, 635 Downey Way, #505N, Los Angeles, CA, 90089, USA
| | - Christopher Wallick
- US Medical Affairs, Genentech, Inc., Roche Group, South San Francisco, CA, USA
| |
Collapse
|
21
|
Clark CJ, Adler R, Xiang L, Shah SK, Cooper Z, Kim DH, Lin KJ, Hsu J, Lipsitz S, Weissman JS. Outcomes for patients with dementia undergoing emergency and elective colorectal surgery: A large multi-institutional comparative cohort study. Am J Surg 2023; 226:108-114. [PMID: 37031040 PMCID: PMC10330079 DOI: 10.1016/j.amjsurg.2023.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/22/2023] [Accepted: 03/13/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Alzheimer's Disease and Related Dementias (ADRD) may result in poor surgical outcomes. The current study aims to characterize the risk of ADRD on outcomes for patients undergoing colorectal surgery. METHODS Colorectal surgery patients with and without ADRD from 2007 to 2017 were identified using electronic health record-linked Medicare claims data from two large health systems. Unadjusted and adjusted analyses were performed to evaluate postoperative outcomes. RESULTS 5926 patients (median age 74) underwent colorectal surgery of whom 4.8% (n = 285) had ADRD. ADRD patients were more likely to undergo emergent operations (27.7% vs. 13.6%, p < 0.001) and be discharged to a facility (49.8% vs 28.9%, p < 0.001). After multi-variable adjustment, ADRD patients were more likely to have complications (61.1% vs 48.3%, p < 0.001) and required longer hospitalization (7.1 vs 6.1 days, p = 0.001). CONCLUSIONS The diagnosis of ADRD is an independent risk factor for prolonged hospitalization and postoperative complications after colorectal surgery.
Collapse
Affiliation(s)
- Clancy J Clark
- Division of Surgical Oncology, Department of General Surgery, Wake Forest University Baptist Medical Center, Winston-Salem, NC, USA.
| | - Rachel Adler
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Lingwei Xiang
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Samir K Shah
- Division of Vascular Surgery, Department of General Surgery, University of Florida, Gainesville, FL, USA
| | - Zara Cooper
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA
| | - Kueiyu Joshua Lin
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - John Hsu
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Stuart Lipsitz
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Joel S Weissman
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| |
Collapse
|
22
|
Tsang CCS, Wang J. Addressing racial/ethnic disparities associated with Medicare Part D Star Ratings among population with Alzheimer's disease and related dementias. Expert Rev Pharmacoecon Outcomes Res 2023; 23:1067-1075. [PMID: 37551695 PMCID: PMC10592311 DOI: 10.1080/14737167.2023.2245139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 08/01/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Previous studies noted that racial/ethnic minority groups were less likely than non-Hispanic White beneficiaries to be included in the assessment of medication utilization measures of Medicare Part D Star Ratings due to restrictive inclusion criteria for measure calculation. This study explored whether adding a measure with less stringent inclusion criteria to Star Ratings can reduce disparities in measure assessment among beneficiaries with Alzheimer's disease and related dementias (ADRD). METHODS This cross-sectional study utilized 2017 Medicare databases linked to Area Health Resources Files. Multivariable logistic regression was used to compare disparities before and after adding the new measure. RESULTS By adding the new measure, disparities in the odds for assessment inclusion between non-Hispanic White beneficiaries and Black, Hispanic, Asian, and Other beneficiaries were respectively reduced by 97% (odds ratio, or OR = 1.97, 95% Confidence Interval or CI = 1.89-2.05), 72% (OR = 1.72, 95% CI = 1.58-1.87), 115% (OR = 2.15, 95% CI = 1.87-2.46), and 44% (OR = 1.44, 95% CI = 1.28-1.62). CONCLUSIONS To improve the selection of medication utilization measures in Star Ratings among beneficiaries with ADRD, policymakers should investigate the optimal composition of measures to better align the interests of patients, providers, and health plans.
Collapse
Affiliation(s)
- Chi Chun Steve Tsang
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, Memphis, TN, United States
| | - Junling Wang
- Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center College of Pharmacy, Memphis, TN, United States
| |
Collapse
|
23
|
Du XL, Li Z, Schulz PE. Angiotensin-II stimulating vs. inhibiting antihypertensive drugs and the risk of Alzheimer's disease or related dementia in a large cohort of older patients with colorectal cancer. Front Cardiovasc Med 2023; 10:1136475. [PMID: 37215552 PMCID: PMC10196474 DOI: 10.3389/fcvm.2023.1136475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/24/2023] [Indexed: 05/24/2023] Open
Abstract
Background Several previous studies showed that patients who received angiotensin II-stimulating antihypertensive medications had a lower incident dementia rate than those angiotensin II-inhibiting antihypertensive users, but no study has been conducted in long-term cancer survivors. Objectives To determine the risk of Alzheimer's disease (AD) and related dementia (ADRD) associated with the types of antihypertensive medications in a large cohort of survivors with colorectal cancer in 2007-2015 with follow-up from 2007 to 2016. Methods We identified 58,699 men and women with colorectal cancer aged 65 or older from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database in 17 SEER areas in 2007-2015 with follow-up to 2016, who were free of any diagnosed ADRD at the baseline (within 12 months prior to and 12 months after the date of diagnosis for colorectal cancer). All patients who were defined as having hypertension by ICD diagnosis code or received antihypertensive drugs during this baseline 2-year period were classified into 6 groups based on whether they received angiotensin-II stimulating or inhibiting antihypertensive drugs. Results Crude cumulative incidence rates of AD and ADRD were similar between those who received angiotensin II-stimulating antihypertensive medications (4.3% and 21.7%) and those receiving angiotensin II-inhibiting antihypertensive medications (4.2% and 23.5%). As compared to patients who received angiotensin II-stimulating antihypertensive drugs, those who received angiotensin II-inhibiting antihypertensives were significantly more likely to develop AD (adjusted hazard ratio: 1.15, 95% CI: 1.01-1.32), vascular dementias (1.27, 1.06-1.53), and total ADRD (1.21, 1.14-1.28) after adjusting for potential confounders. These results remained similar after adjusting for medication adherence and considering death as a competing risk. Conclusions The risk of AD and ADRD in patients with hypertension who received angiotensin II-inhibiting antihypertensive medications was higher than in those receiving angiotensin II-stimulating antihypertensive drugs in patients with colorectal cancer.
Collapse
Affiliation(s)
- Xianglin L. Du
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Zhuoyun Li
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Paul E. Schulz
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, United States
| |
Collapse
|
24
|
Akushevich I, Yashkin A, Kovtun M, Kravchenko J, Arbeev K, Yashin AI. Forecasting prevalence and mortality of Alzheimer's disease using the partitioning models. Exp Gerontol 2023; 174:112133. [PMID: 36842469 PMCID: PMC10103071 DOI: 10.1016/j.exger.2023.112133] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/14/2023] [Accepted: 02/21/2023] [Indexed: 02/28/2023]
Abstract
OBJECTIVES Health forecasting is an important aspect of ensuring that the health system can effectively respond to the changing epidemiological environment. Common models for forecasting Alzheimer's disease and related dementias (AD/ADRD) are based on simplifying methodological assumptions, applied to limited population subgroups, or do not allow analysis of medical interventions. This study uses 5 %-Medicare data (1991-2017) to identify, partition, and forecast age-adjusted prevalence and incidence-based mortality of AD as well as their causal components. METHODS The core underlying methodology is the partitioning analysis that calculates the relative impact each component has on the overall trend as well as intertemporal changes in the strength and direction of these impacts. B-spline functions estimated for all parameters of partitioning models represent the basis for projections of these parameters in future. RESULTS Prevalence of AD is predicted to be stable between 2017 and 2028 primarily due to a decline in the prevalence of pre-AD-diagnosis stroke. Mortality, on the other hand, is predicted to increase. In all cases the resulting patterns come from a trade-off of two disadvantageous processes: increased incidence and disimproved survival. Analysis of health interventions demonstrates that the projected burden of AD differs significantly and leads to alternative policy implications. DISCUSSION We developed a forecasting model of AD/ADRD risks that involves rigorous mathematical models and incorporation of the dynamics of important determinative risk factors for AD/ADRD risk. The applications of such models for analyses of interventions would allow for predicting future burden of AD/ADRD conditional on a specific treatment regime.
Collapse
Affiliation(s)
- I Akushevich
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke University, Durham, NC, USA.
| | - A Yashkin
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke University, Durham, NC, USA
| | - M Kovtun
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke University, Durham, NC, USA
| | - J Kravchenko
- Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - K Arbeev
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke University, Durham, NC, USA
| | - A I Yashin
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Duke University, Durham, NC, USA
| |
Collapse
|
25
|
Lu YZ, Huang CW, Koyama S, Taitano M, Lee EA, Shen E, Nguyen HQ. Dementia and readmission risk in patients with heart failure participating in a transitional care program. Arch Gerontol Geriatr 2023; 110:104973. [PMID: 36870185 DOI: 10.1016/j.archger.2023.104973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/20/2023] [Accepted: 02/21/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND Cognitive impairment is prevalent in patients hospitalized for heart failure (HF). We aimed to generate further evidence on the value of dementia screening in hospitalized HF patients by examining whether and when dementia would be an independent risk factor for 30-day readmission while modeling permutations of known risk factors such as patient demographics, disease burden, prior utilization, and index hospitalization characteristics. METHODS AND RESULTS A retrospective cohort study was employed, consisting of 26,128 patients (2,075 or 7.9% with dementia) in a transitional care program post HF hospitalization. The overall 30-day all-cause readmission rate was 18.1%. Patients with dementia had higher unadjusted rates of readmission (22.0 vs 17.8%) and death (4.5 vs. 2.2%) within 30 days post hospitalization, compared to those without dementia. Hierarchical multivariable proportional hazards regression results showed that dementia independently predicted readmission when both patient demographics and disease burden variables were controlled for (HR=1.15, p=0.02). However, the association between dementia and readmission was attenuated in the full model when prior utilization and index hospitalization characteristics were added (HR=1.04, p=0.55). For dementia patients, Charlson comorbidity index, prior ED visits, and length of stay were significant risk factors of readmission. CONCLUSIONS The presence of dementia and the predictors of 30-day readmission in those with dementia may help identify this subset of high-risk HF patients for potential efforts to improve their prognosis.
Collapse
Affiliation(s)
- Yang Z Lu
- Department of Health Care Administration, California State University - Long Beach, United States
| | - Cheng-Wei Huang
- Los Angeles Medical Center, Kaiser Permanente Southern California, United States
| | - Sandra Koyama
- Baldwin Park Medical Center, Kaiser Permanente Southern California, United States
| | - Maria Taitano
- South Bay Medical Center, Kaiser Permanente Southern California, United States
| | - Eric A Lee
- West Los Angeles Medical Center, Kaiser Permanente Southern California, United States
| | - Ernest Shen
- Department of Research and Evaluation, Kaiser Permanente Southern California, United States
| | - Huong Q Nguyen
- Department of Research and Evaluation, Kaiser Permanente Southern California, United States; Department of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, United States.
| |
Collapse
|
26
|
Marcum ZA, Gabriel N, Bress AP, Hernandez I. Association of New Use of Antihypertensives That Stimulate vs Inhibit Type 2 and 4 Angiotensin II Receptors With Dementia Among Medicare Beneficiaries. JAMA Netw Open 2023; 6:e2249370. [PMID: 36598787 PMCID: PMC9856661 DOI: 10.1001/jamanetworkopen.2022.49370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 11/11/2022] [Indexed: 01/05/2023] Open
Abstract
Importance Prevalent use of antihypertensive medications that stimulate type 2 and 4 angiotensin II receptors, compared with those that do not stimulate these receptors, has been associated with a lower risk of dementia. However, previous studies were limited by inclusion of individuals with prevalent hypertension and a history of antihypertensive use prior to the start of the study, which can introduce bias. Objective To examine the association of new use of antihypertensive medication regimens that stimulate vs inhibit type 2 and 4 angiotensin II receptors with Alzheimer disease and related dementias (ADRD) among Medicare beneficiaries. Design, Setting, and Participants This cohort study was conducted among 57 773 Medicare fee-for-service beneficiaries (January 1, 2006, through December 31, 2018) aged 65 years or older with incident hypertension. Data analysis was conducted from January 1 through June 30, 2022. Exposures Initiation of antihypertensive medication regimens that stimulate or inhibit type 2 and 4 angiotensin II receptors, or mixed regimens (both stimulating and inhibiting), with the time-dependent measure being each 30-day interval. Main Outcomes and Measures The primary outcome was time to first occurrence of ADRD (Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse definition). Cox proportional hazards regression modeling with time-dependent variables was performed to estimate the association between time-dependent treatment groups and time to ADRD, after adjusting for sociodemographic and clinical characteristics. Results The sample included 57 773 Medicare beneficiaries (36 348 women [62.9%]; mean [SD] age, 73.8 [6.3] years; 2954 [5.1%] Black, 1545 [2.7%] Hispanic; 50 184 [86.9%] White, and 3090 [5.4%] Other individuals [the Other category included individuals of American Indian, Asian, other, or unknown race and ethnicity]). During a median of 6.9 years (IQR, 4.7-9.3 years) of follow-up, the unadjusted incidence density rate of ADRD was 2.2 cases per 100 person-years (95% CI, 2.1-2.4 cases per 100 person-years) for the group receiving regimens that stimulate type 2 and 4 angiotensin II receptors compared with 3.1 cases per 100 person-years (95% CI, 3.0-3.2 cases per 100 person-years) for the group receiving regimens that inhibit type 2 and 4 angiotensin II receptors and 2.7 cases per 100 person-years (95% CI, 2.6-2.9 cases per 100 person-years) for the group receiving mixed treatment regimens. In adjusted Cox proportional hazards regression modeling, stimulating treatment was associated with a statistically significant 16% reduction in the hazard of ADRD compared with inhibiting treatment (hazard ratio, 0.84; 95% CI, 0.79-0.90). Mixed regimen use was also associated with reduced hazards of ADRD compared with the inhibiting group (hazard ratio, 0.90; 95% CI, 0.84-0.96). Conclusions and Relevance This cohort study of Medicare beneficiaries suggests that use of antihypertensive medications that stimulate type 2 and 4 angiotensin II receptors was associated with lower risk of ADRD compared with antihypertensive medications that inhibit these receptors. Confirmation is needed in a randomized trial.
Collapse
Affiliation(s)
- Zachary A. Marcum
- Department of Pharmacy, University of Washington School of Pharmacy, Seattle
| | - Nico Gabriel
- Division of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla
| | - Adam P. Bress
- Division of Health System Innovation and Research, Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Inmaculada Hernandez
- Division of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla
| |
Collapse
|
27
|
Godina SL, Rosso AL, Hirsch JA, Besser LM, Lovasi GS, Donovan GH, Garg PK, Platt JM, Fitzpatrick AL, Lopez OL, Carlson MC, Michael YL. Neighborhood greenspace and cognition: The cardiovascular health study. Health Place 2023; 79:102960. [PMID: 36603455 PMCID: PMC9928891 DOI: 10.1016/j.healthplace.2022.102960] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/04/2022] [Accepted: 12/14/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVES We examined whether greenspace measures (overall percent greenspace and forest, and number of greenspace types) were associated with clinically adjudicated dementia status. METHODS In a sample of non-demented older adults (n = 2141, average age = 75.3 years) from the Cardiovascular Health and Cognition Study, Cox proportional hazard and logistic regression analyses were used to estimate associations of baseline greenspace with risks of incident dementia and MCI, respectively, while adjusting for demographics, co-morbidities, and other neighborhood factors. We derived quartiles of percent greenness (greenspace), forest (percent tree canopy cover), and tertiles of greenspace diversity (number of greenspace types) for 5-km radial buffers around participant's residences at study entry (1989-1990) from the 1992 National Land Cover Dataset. Dementia status and mild cognitive impairment (MCI) over 10 years was clinically adjudicated. RESULTS We observed no significant association between overall percent greenspace and risk of mild cognitive impairment or dementia and mostly null results for forest and greenspace diversity. Forest greenspace was associated with lower odds of MCI (OR quartile 4 versus 1: 0.54, 95% CI: 0.29-0.98) and greenspace diversity was associated with lower hazard of incident dementia (HR tertile 2 versus 1: 0.70, 95% CI = 0.50-0.99). DISCUSSION We found divergent results for different types of greenspace and mild cognitive impairment or dementia. Improved greenspace type and diversity measurement could better characterize the association between greenspace and cognition.
Collapse
Affiliation(s)
- Sara L Godina
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
| | - Andrea L Rosso
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA
| | - Jana A Hirsch
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
| | - Lilah M Besser
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, 7700 W Camino Real, Suite 200, Boca Raton, FL, 33433, USA
| | - Gina S Lovasi
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
| | - Geoffrey H Donovan
- U.S. Department of Agriculture Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA
| | - Parveen K Garg
- University of Southern California Keck School of Medicine, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Jonathan M Platt
- The University of Iowa, College of Public Health, 145 N. Riverside Drive, Iowa City, IA, 52242, USA
| | - Annette L Fitzpatrick
- University of Washington School of Public Health, Department of Epidemiology, 3980 15th Avenue NE, Seattle, WA, 98195, USA
| | - Oscar L Lopez
- University of Pittsburgh School of Medicine, Department of Neurology, Kaufmann Medical Building, 3471 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Michelle C Carlson
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Yvonne L Michael
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
| |
Collapse
|
28
|
Shepherd-Banigan M, Miller KEM, Hastings SN, Schleiden LJ, Thorpe JM. Use of high cost care among Veterans with comorbid mental illness and Alzheimer's Disease and related dementias. PLoS One 2023; 18:e0282071. [PMID: 37172031 PMCID: PMC10180599 DOI: 10.1371/journal.pone.0282071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 02/07/2023] [Indexed: 05/14/2023] Open
Abstract
INTRODUCTION/OBJECTIVE Alzheimer's Disease and Other Related Dementias (AD/ADRD) leads to frequent emergency department (ED) and inpatient use. Mental health symptoms among persons with AD/ADRD increases cognitive and functional disabilities and could contribute to these high rates of intensive health care use. The objective of this paper is to assess the relationship of mental illness on 12-month patterns in hospitalization and ED use among Veterans aged 65 and over with a new AD/ADRD diagnosis. METHODS We used an existing dataset of administrative electronic health record data of Veterans with AD/ADRD from the US Veterans Health Administration linked with Medicare claims data from 2011-2015. We use multivariable logistic regression to examine the association between no pre-existing mental illness, pre-existing mental illness (e.g., major depressive disorder, generalized anxiety disorder, or post-traumatic stress disorder), and pre-existing severe mental illness-or SMI-(e.g., bipolar disorder, major depressive disorder with psychosis, or schizophrenia) and 12- month ED and hospitalization use and readmissions among Veterans who had an initial hospitalization visit. We estimated predicted probabilities, differential effect, and associated 95% confidence intervals. RESULTS In our sample, 1.4% had SMI and 11% had non-SMI mental illness. The unadjusted percentage with inpatient and ED use was higher among Veterans with SMI (34% and 26%, respectively) and Veterans with non-SMI mental illness (20%, 16%) compared with Veterans without pre-existing mental illness (12%, 9%). Compared to individuals with no pre-existing mental illness, having a pre-existing mental illness (1.27 percentage points, 95% CI: 0.76, 1.78) and a pre-existing SMI (7.17 percentage points, 95% CI: 5.66, 8.69) were both associated with an increased likelihood of ED use. The same pattern was observed for any inpatient use (mental illness 2.18, 95% CI: 1.59, 2.77; SMI 9.91, 95% CI: 8.21, 11.61). Only pre-existing SMI was associated higher hospitalization readmission. DISCUSSION Pre-existing mental illness increases use of high cost, intensive health care and this association is higher of more severe mental health conditions. We also show that pre-existing mental illness exerts a unique influence, above and beyond other comorbidities, such as diabetes, on ED and inpatient visits. More needs to be done to increase recognition of the unique risks of this combination of health conditions and encourage strategies to address them. Developing, testing, and implementing comprehensive strategies that address the intersection of ADRD and mental illness is promising approach that requires more focused attention.
Collapse
Affiliation(s)
- Megan Shepherd-Banigan
- Durham VA Health Care System, Durham, NC, United States of America
- Department of Population Health Sciences, Duke University, Durham, NC, United States of America
- Duke-Margolis Center for Health Policy, Durham, NC, United States of America
- Hopkins Economics of Alzheimer's Disease and Services Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Katherine E M Miller
- Hopkins Economics of Alzheimer's Disease and Services Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- Division of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States of America
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States of America
| | - S Nicole Hastings
- Durham VA Health Care System, Durham, NC, United States of America
- Department of Population Health Sciences, Duke University, Durham, NC, United States of America
- Geriatric Research, Education, and Clinical Center, Durham Veterans Affairs Health Care System, Durham, NC, United States of America
- Center for the Study of Aging, Duke University School of Medicine, Durham, NC, United States of America
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC, United States of America
| | - Loren J Schleiden
- Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, United States of America
| | - Joshua M Thorpe
- Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, United States of America
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, United States of America
| |
Collapse
|
29
|
Du XL, Song L. A Large Retrospective Cohort Study on the Risk of Alzheimer's Disease and Related Dementias in Association with Vascular Diseases and Cancer Therapy in Men with Prostate Cancer. J Prev Alzheimers Dis 2023; 10:193-206. [PMID: 36946446 PMCID: PMC10709824 DOI: 10.14283/jpad.2023.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND No study was conducted on the long-term risk of Alzheimer's disease (AD) and related dementias (ADRD) in association with vascular diseases in men with prostate cancer. OBJECTIVES To determine the 26-year risk of ADRD in association with cardiovascular disease (CVD), stroke, hypertension, and diabetes in a nationwide cohort of men with prostate cancer. DESIGN Retrospective cohort study. SETTING Surveillance, Epidemiology, and End Results (SEER) areas of the United States. PARTICIPANTS 351,571 men diagnosed with prostate cancer at age ≥65 years. MEASUREMENTS Main exposures were CVD, stroke, hypertension, and diabetes. Main outcome was the incidence of ADRD. RESULTS The crude 26-year cumulative incidence of any ADRD was higher in those with versus without CVD (33.80% vs 29.11%), stroke (40.70% vs 28.03%), hypertension (30.88% vs 27.31%), and diabetes (32.23% vs 28.68%). Men with CVD (adjusted hazard ratio: 1.17, 95% CI: 1.15-1.20), stroke (1.59, 1.56-1.61), hypertension (1.13, 1.11-1.14), and diabetes (1.25, 1.23-1.27) were significantly more likely to develop ADRD than those without. Patients with 4 of these vascular diseases were 161% more likely to develop ADRD (2.61, 2.47-2.76) than those without. The risk of AD (0.89, 0.87-0.91) and ADRD (0.91, 0.90-0.93) became significantly lower in men with prostate cancer who received androgen deprivation therapy as compared to those who did not after considering death as a competing risk. CONCLUSIONS In men with prostate cancer, vascular diseases were associated with significantly higher risks of developing ADRD. Androgen deprivation therapy was associated with a significantly decreased risk of AD in men with prostate cancer.
Collapse
Affiliation(s)
- X L Du
- Xianglin L. Du, PhD, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030, USA;
| | | |
Collapse
|
30
|
Schliep KC, Ju S, Foster NL, Smith KR, Varner MM, Østbye T, Tschanz J. How good are medical and death records for identifying dementia? Alzheimers Dement 2022; 18:1812-1823. [PMID: 34873816 PMCID: PMC9170837 DOI: 10.1002/alz.12526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Retrospective studies using administrative data may be an efficient way to assess risk factors for dementia if diagnostic accuracy is known. METHODS Within-individual clinical diagnoses of Alzheimer's disease (AD) and all-cause dementia in ambulatory (outpatient) surgery, inpatient, Medicare administrative records and death certificates were compared with research diagnoses among participants of Cache County Study on Memory, Health, and Aging (CCSMHA) (1995-2008, N = 5092). RESULTS Combining all sources of clinical health data increased sensitivity for identifying all-cause dementia (71%) and AD (48%), while maintaining relatively high specificity (81% and 93%, respectively). Medicare claims had the highest sensitivity for case identification (57% and 40%, respectively). DISCUSSION Administrative health data may provide a less accurate method than a research evaluation for identifying individuals with dementing disease, but accuracy is improved by combining health data sources. Assessing all-cause dementia versus a specific cause of dementia such as AD will result in increased sensitivity, but at a cost to specificity.
Collapse
Affiliation(s)
- Karen C. Schliep
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Shinyoung Ju
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Norman L. Foster
- Center for Alzheimer’s Care, Imaging & Research, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Ken R. Smith
- Department of Family and Consumer Studies and Population Sciences/Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Michael M. Varner
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah, USA
| | - Truls Østbye
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA
| | - JoAnn Tschanz
- Department of Psychology, Utah State University, Logan, Utah, USA
| |
Collapse
|
31
|
Buta B, Friedman AB, Chung SE, Sheehan OC, Blinka MD, Gearhart SL, Xue QL. The combined effects of physical frailty and cognitive impairment on emergency department- versus direct-admission hospitalizations. BMC Geriatr 2022; 22:718. [PMID: 36042414 PMCID: PMC9429704 DOI: 10.1186/s12877-022-03397-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/12/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND We aimed to study whether physical frailty and cognitive impairment (CI) increase the risk of recurrent hospitalizations in older adults, independent of comorbidity, and disability. METHODS Two thousand five hundred forty-nine community-dwelling participants from the National Health and Aging Trends Study (NHATS) with 3 + years of continuous Medicare coverage from linked claims data were included. We used the marginal means/rates recurrent events model to investigate the association of baseline CI (mild CI or dementia) and physical frailty, separately and synergistically, with the number of all-source vs. Emergency Department (ED)-admission vs. direct admission hospitalizations over 2 years. RESULTS 17.8% of participants had at least one ED-admission hospitalization; 12.7% had at least one direct admission hospitalization. Frailty and CI, modeled separately, were both significantly associated with risk of recurrent all-source (Rate Ratio (RR) = 1.24 for frailty, 1.21 for CI; p < .05) and ED-admission (RR = 1.49 for frailty, 1.41 for CI; p < .05) hospitalizations but not direct admission, adjusting for socio-demographics, obesity, comorbidity and disability. When CI and frailty were examined together, 64.3% had neither (Unimpaired); 28.1% CI only; 3.5% Frailty only; 4.1% CI + Frailty. Compared to those Unimpaired, CI alone and CI + Frailty were predictive of all-source (RR = 1.20, 1.48, p < .05) and ED-admission (RR = 1.36, 2.14, p < .05) hospitalizations, but not direct admission, in our adjusted model. CONCLUSIONS Older adults with both CI and frailty experienced the highest risk for recurrent ED-admission hospitalizations. Timely recognition of older adults with CI and frailty is needed, paying special attention to managing cognitive impairment to mitigate preventable causes of ED admissions and potentiate alternatives to hospitalization.
Collapse
Affiliation(s)
- Brian Buta
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA
| | - Ari B Friedman
- Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, PA, Philadelphia, USA
| | - Shang-En Chung
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA
| | - Orla C Sheehan
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA
- Connolly Hospital Blanchardstown, Dublin, Ireland
| | - Marcela D Blinka
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA
| | - Susan L Gearhart
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA
| | - Qian-Li Xue
- Department of Medicine Division of Geriatric Medicine and Gerontology, Center On Aging and Health, Johns Hopkins University, 2024 E. Monument Street, Suite 2-700, Baltimore, MD, 21205, USA.
| |
Collapse
|
32
|
Miller SM, Wilson LE, Greiner MA, Pritchard JE, Zhang T, Kaye DR, Cohen HJ, Becher RD, Maerz LL, Dinan MA. Evaluation of mild cognitive impairment and dementia in patients with metastatic renal cell carcinoma. J Geriatr Oncol 2022; 13:635-643. [PMID: 34996724 PMCID: PMC9232862 DOI: 10.1016/j.jgo.2021.12.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 12/07/2021] [Accepted: 12/14/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Dementia and cancer are both more common in adults as they age. As new cancer treatments become more popular, it is important to consider how these treatments might affect older patients. This study evaluates metastatic renal cell carcinoma (mRCC) as a risk factor for older adults developing mild cognitive impairment or dementia (MCI/D) and the impact of mRCC-directed therapies on the development of MCI/D. METHODS We identified patients diagnosed with mRCC in a Surveillance, Epidemiology, and End Results (SEER)-Medicare dataset from 2007 to 2015 and matched them to non-cancer controls. Exclusion criteria included age < 65 years at mRCC diagnosis and diagnosis of MCI/D within the year preceding mRCC diagnosis. The main outcome was time to incident MCI/D within one year of mRCC diagnosis for cases or cohort entry for non-cancer controls. Cox proportional hazards models were used to measure associations between mRCC and incident MCI/D as well as associations of oral anticancer agent (OAA) use with MCI/D development within the mRCC group. RESULTS Patients with mRCC (n = 2533) were matched to non-cancer controls (n = 7027). mRCC (hazard ratio [HR] 8.52, p < .001), being older (HR 1.05 per 1-year age increase, p < .001), and identifying as Black (HR 1.92, p = .047) were predictive of developing MCI/D. In addition, neither those initiating treatment with OAAs nor those who underwent nephrectomy were more likely to develop MCI/D. CONCLUSIONS Patients with mRCC were more likely to develop MCI/D than those without mRCC. The medical and surgical therapies evaluated were not associated with increased incidence of MCI/D. The increased incidence of MCI/D in older adults with mRCC may be the result of the pathology itself or risk factors common to the two disease processes.
Collapse
Affiliation(s)
- Samuel M Miller
- National Clinician Scholars Program, Yale University, USA; Department of Surgery, Yale University, USA.
| | - Lauren E Wilson
- Department of Population Health Sciences, Duke University, USA
| | | | | | - Tian Zhang
- Division of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, USA
| | - Deborah R Kaye
- Department of Surgery, Division of Urology, Duke University, USA
| | - Harvey Jay Cohen
- Center for the Study of Aging and Human Development, Duke University, USA
| | | | | | | |
Collapse
|
33
|
McCarthy EP, Chang CH, Tilton N, Kabeto MU, Langa KM, Bynum JPW. Validation of Claims Algorithms to Identify Alzheimer's Disease and Related Dementias. J Gerontol A Biol Sci Med Sci 2022; 77:1261-1271. [PMID: 34919686 PMCID: PMC9159657 DOI: 10.1093/gerona/glab373] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Using billing data generated through health care delivery to identify individuals with dementia has become important in research. To inform tradeoffs between approaches, we tested the validity of different Medicare claims-based algorithms. METHODS We included 5 784 Medicare-enrolled, Health and Retirement Study participants aged older than 65 years in 2012 clinically assessed for cognitive status over multiple waves and determined performance characteristics of different claims-based algorithms. RESULTS Positive predictive value (PPV) of claims ranged from 53.8% to 70.3% and was highest using a revised algorithm and 1 year of observation. The tradeoff of greater PPV was lower sensitivity; sensitivity could be maximized using 3 years of observation. All algorithms had low sensitivity (31.3%-56.8%) and high specificity (92.3%-98.0%). Algorithm test performance varied by participant characteristics, including age and race. CONCLUSION Revised algorithms for dementia diagnosis using Medicare administrative data have reasonable accuracy for research purposes, but investigators should be cognizant of the tradeoffs in accuracy among the approaches they consider.
Collapse
Affiliation(s)
- Ellen P McCarthy
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.,Division of Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Chiang-Hua Chang
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas Tilton
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Mohammed U Kabeto
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Kenneth M Langa
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Julie P W Bynum
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
| |
Collapse
|
34
|
Grodstein F, Chang CH, Capuano AW, Power MC, Marquez DX, Barnes LL, Bennett DA, James BD, Bynum JPW. Identification of Dementia in Recent Medicare Claims Data, Compared With Rigorous Clinical Assessments. J Gerontol A Biol Sci Med Sci 2022; 77:1272-1278. [PMID: 34919685 PMCID: PMC9159666 DOI: 10.1093/gerona/glab377] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Medicare fee-for-service (FFS) claims data are increasingly leveraged for dementia research. Few studies address the validity of recent claim data to identify dementia, or carefully evaluate characteristics of those assigned the wrong diagnosis in claims. METHODS We used claims data from 2014 to 2018, linked to participants administered rigorous, annual dementia evaluations in 5 cohorts at the Rush Alzheimer's Disease Center. We compared prevalent dementia diagnosed through the 2016 cohort evaluation versus claims identification of dementia, applying the Bynum-standard algorithm. RESULTS Of 1 054 participants with Medicare Parts A and B FFS in a 3-year window surrounding their 2016 index date, 136 had prevalent dementia diagnosed during cohort evaluations; the claims algorithm yielded 217. Sensitivity of claims diagnosis was 79%, specificity 88%, positive predictive value 50%, negative predictive value 97%, and overall accuracy 87%. White participants were disproportionately represented among detected dementia cases (true positive) versus cases missed (false negative) by claims (90% vs 75%, respectively, p = .04). Dementia appeared more severe in detected than missed cases in claims (mean Mini-Mental State Exam = 15.4 vs 22.0, respectively, p < .001; 28% with no limitations in activities of daily living versus 45%, p = .046). By contrast, those with "over-diagnosis" of dementia in claims (false positive) had several worse health indicators than true negatives (eg, self-reported memory concerns = 51% vs 29%, respectively, p < .001; mild cognitive impairment in cohort evaluation = 72% vs 44%, p < .001; mean comorbidities = 7 vs 4, p < .001). CONCLUSIONS Recent Medicare claims perform reasonably well in identifying dementia; however, there are consistent differences in cases of dementia identified through claims than in rigorous cohort evaluations.
Collapse
Affiliation(s)
- Francine Grodstein
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Chiang-Hua Chang
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Ana W Capuano
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Melinda C Power
- Department of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA
| | - David X Marquez
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Lisa L Barnes
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Bryan D James
- Rush Alzheimer’s Disease Center, Chicago, Illinois, USA
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Julie P W Bynum
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| |
Collapse
|
35
|
Hua CL, Thomas KS, Bunker J, Gozalo PL, Belanger E, Mitchell SL, Teno JM. Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set. J Am Geriatr Soc 2022; 70:846-853. [PMID: 34797565 PMCID: PMC8904279 DOI: 10.1111/jgs.17564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/20/2021] [Accepted: 10/24/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND Individuals with dementia do not always have a diagnosis of dementia noted on their hospital claims. Whether this lack of documentation is associated with patient outcomes is unknown. We examined the association between a dementia diagnosis listed on a hospital claim and patient outcomes among individuals with a Minimum Data Set (MDS) assessment. METHODS A retrospective cohort study was conducted using administrative claims data and nursing home MDS assessments. Hospitalized patients aged 66 and older with advanced dementia noted on an MDS assessment completed within 120 days prior to their first hospitalization in 2017 were included. Advanced dementia was defined based on an MDS diagnosis of dementia, dependency in four or more activities of daily living, and a Cognitive Function Scale score indicative of moderate to severe impairment. Multilevel regression with a random intercept at the hospital level was used to examine the relationship between documentation of dementia in inpatient hospital Medicare claims and the following patient outcomes after adjusting for patient and hospital characteristics: invasive mechanical ventilation (IMV) use, intensive care unit or coronary care unit (ICU/CCU) use, 30-day mortality, and hospital length of stay (LOS). RESULTS In 2017, among 120,989 patients with advanced dementia and a nursing home stay, 90.57% had a dementia diagnosis on their hospital claims. In adjusted models, documentation of a dementia diagnosis was associated with lower use of the ICU/CCU (adjusted odds ratio [AOR]: 0.78 [95% confidence interval 0.74, 0.81]), use of IMV (AOR: 0.50 [0.47, 0.54]), and 30-day mortality (AOR: 0.81 [0.77, 0.85]). Patients with a dementia diagnosis had a shorter LOS. CONCLUSIONS Among patients with advanced dementia, those whose dementia diagnosis was documented on their inpatient hospital Medicare claim experienced lower use of ICU/CCU, use of IMV, lower 30-day mortality, and shorter LOS than those whose diagnosis was not documented.
Collapse
Affiliation(s)
- Cassandra L. Hua
- School of Public Health, Brown University, Providence, Rhode Island,Corresponding author: Cassandra Hua: Box G-S121-4, 121 S. Main Street, Providence, RI 02912, , Twitter: @CassandraHua
| | - Kali S. Thomas
- School of Public Health, Brown University, Providence, Rhode Island,Department of Veterans Affairs Medical Center, Providence, Rhode Island
| | - Jennifer Bunker
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland
| | - Pedro L. Gozalo
- School of Public Health, Brown University, Providence, Rhode Island,Department of Veterans Affairs Medical Center, Providence, Rhode Island
| | | | - Susan L. Mitchell
- Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, Boston, Massachusetts,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Joan M. Teno
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland
| |
Collapse
|
36
|
Mahmoudi E, Sadaghiyani S, Lin P, Kamdar N, Norcott A, Peterson MD, Meade MA. Diagnosis of Alzheimer's disease and related dementia among people with multiple sclerosis: Large cohort study, USA. Mult Scler Relat Disord 2022; 57:103351. [PMID: 35158460 DOI: 10.1016/j.msard.2021.103351] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/23/2021] [Accepted: 10/24/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Alzheimer's disease and related dementia (ADRD) and multiple sclerosis (MS) are two neurodegenerative diseases with some shared pathophysiological characteristics. While the salient attribute of ADRD is a progressive decline in cognitive function, MS is mainly known for causing physical weakness, vision loss, and muscle stiffness. Progressive cognitive decline, however, is not uncommon among MS patients, and many case reports of MS were indicative of ADRD coexistence. Due to a lack of large epidemiological studies on this topic, we aimed to examine time to diagnosis of and adjusted hazard for ADRD using administrative claims data, comparing adults with and without MS. METHODS Using 2007-2017 private claims data from Optum Clinformatics Data Mart in the U.S., we identified adults (45+) with a MS diagnosis (n = 6151) as well as adults without MS for comparison (n = 916,143). We propensity score matched people with MS with those without (n = 6025) using age, sex, race/ethnicity, chronic conditions including cardiometabolic, psychologic, and musculoskeletal, U.S. Census Division, and socioeconomic variables. In addition to incidence estimates of ADRD diagnosis compared at 4-years, survival models were utilized to quantify unadjusted, fully adjusted, and adjusted propensity-matched hazard ratios. RESULTS Unmatched data revealed that incidence of early-onset ADRD diagnosis was 7 times higher among adults 45-64 years old with MS (1.4%) compared to those without (0.2%); among older adults (65+) with MS, incident ADRD was 4.0% compared to 3.3% among those without MS. Adjusted survival models indicated that adults with MS had a substantially high risk for early-onset ADRD diagnosis (among 45-64 years old: unmatched hazard ratio (HR): 4.25 (95% CI: 3.40 -5.32), matched HR: 4.49 (95% CI:2.62-7.69); among 65+ years old: unmatched HR: 1.39 (95% CI: 1.22, 1.58), matched HR: 1.26 (1.04, 1.54)). CONCLUSIONS Individuals with MS had a greater incidence of and risk for early- and late-onset ADRD diagnosis compared to those without MS. It is not clear whether this greater risk is due to an accelerated dementia risk or at least partially due to clinical misdiagnosis. Advancements in the development of clinical and imaging biomarkers should be more commonly used in clinical settings to facilitate future research on this topic.
Collapse
Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine, University of Michigan, USA; Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
| | - Shima Sadaghiyani
- Department of Psychiatry-Neuropsychology, Michigan Medicine, University of Michigan, USA
| | - Paul Lin
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, USA; Department of Emergency Medicine, Michigan Medicine, University of Michigan, USA; Department of Surgery, Michigan Medicine, University of Michigan, USA
| | - Alexandra Norcott
- Department of Internal Medicine, Division of Geriatric and Palliative Medicine, Michigan Medicine, University of Michigan, USA; Department of Internal Medicine, GRECC, Ann Arbor Veterans Affairs Healthcare System, USA
| | - Mark D Peterson
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michelle A Meade
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
37
|
Du XL, Song L, Schulz PE, Xu H, Chan W. Risk of Developing Alzheimer's Disease and Related Dementias in Association with Cardiovascular Disease, Stroke, Hypertension, and Diabetes in a Large Cohort of Women with Breast Cancer and with up to 26 Years of Follow-Up. J Alzheimers Dis 2022; 87:415-432. [PMID: 35311707 PMCID: PMC9117151 DOI: 10.3233/jad-215657] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND No study on the long-term incidence of Alzheimer's disease (AD) and related dementias (ADRD) has been reported in women with breast cancer by vascular diseases. OBJECTIVE To determine the risk of ADRD in association with cardiovascular diseases (CVD), stroke, hypertension, and diabetes in women with breast cancer. METHODS Study identified 246,686 women diagnosed with breast cancer at age≥65 years in 1991-2015 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. Women were free of ADRD at the time of cancer diagnosis and followed from 1991 to 2016. RESULTS Cumulative incidence of AD over 26 years of follow-up varied from 10.7% to 13.6% by CVD, stroke, hypertension, and diabetes. Cumulative incidence of ADRD was higher in those with CVD (40.75%) versus no-CVD (31.32%), stroke (40.24%) versus no-stroke (31.34%), hypertension (33.06%) versus no-hypertension (30.47%), and diabetes (33.38%) versus no-diabetes (31.77%). After adjusting for confounders, those with CVD (hazard ratio:1.30, 95% CI: 1.27-1.33), stroke (1.50,1.47-1.54), hypertension (1.08,1.06-1.09), and diabetes (1.26,1.24-1.29) had significantly higher risks of developing ADRD. Women aged 80-84, and≥85 had 5- and 7-fold higher risks of AD than those aged 65-69. As compared to white women, black women had a significantly higher risk of AD (1.21, 1.16-1.27), whereas Asians/Pacific-Islanders had a significantly lower risk of AD (0.77, 0.71-0.83). CONCLUSION In women with breast cancer, CVD, stroke, hypertension, and diabetes were associated with a significantly higher risk of developing any ADRD combined. The risk of ADRD was higher in black women and lower in Asian/Pacific-Islanders than white women.
Collapse
Affiliation(s)
- Xianglin L. Du
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lulu Song
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul E. Schulz
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| |
Collapse
|
38
|
Du XL, Song L, Schulz PE, Xu H, Chan W. Associations Between Vascular Diseases and Alzheimer's Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer. J Alzheimers Dis 2022; 90:211-231. [PMID: 36093703 PMCID: PMC9661325 DOI: 10.3233/jad-220548] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Long term risk of Alzheimer's disease (AD) and related dementias (ADRD) associated with vascular diseases in people with colorectal cancer is unknown. OBJECTIVE To determine the risk of ADRD in association with cardiovascular diseases (CVD), stroke, hypertension, and diabetes in a cohort of patients with colorectal cancer. METHODS This retrospective cohort study consisted of 210,809 patients diagnosed with colorectal cancer at age≥65 years in 1991-2015 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database with follow-up from 1991-2016, who were free of any ADRD at the baseline (<12 months prior to or < 30 days after the date of cancer diagnosis). RESULTS The crude 26-year cumulative incidence of total ADRD in men and women with colorectal cancer was higher in those with versus without CVD (31.92% versus 28.12%), with versus without stroke (39.82% versus 26.39%), with versus without hypertension (31.88% versus 24.88%), and with versus without diabetes (32.01% versus 27.66%). After adjusting for socio-demographic and tumor factors, the risk of developing ADRD was significantly higher in patients with CVD (adjusted hazard ratio: 1.17, 95% confidence intervals: 1.14-1.20), stroke (1.65, 1.62-1.68), hypertension (1.07, 1.05-1.09), and diabetes (1.26, 1.24-1.29) versus persons without. For those with 1, 2, 3 and 4 vascular diseases present versus absent, the risk of AD increased from 1.12 (1.07-1.16) to 1.31 (1.25-1.36), 1.66 (1.57-1.75), and 2.03 (1.82-2.27). CONCLUSION In older patients with colorectal cancer, a significant dose-response relationship was observed between an increasing number of these vascular diseases and the risk of all types of dementia.
Collapse
Affiliation(s)
- Xianglin L. Du
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lulu Song
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul E. Schulz
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| |
Collapse
|
39
|
Fang J, Zhang P, Zhou Y, Chiang CW, Tan J, Hou Y, Stauffer S, Li L, Pieper AA, Cummings J, Cheng F. Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's disease. NATURE AGING 2021; 1:1175-1188. [PMID: 35572351 PMCID: PMC9097949 DOI: 10.1038/s43587-021-00138-z] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
We developed an endophenotype disease module-based methodology for Alzheimer's disease (AD) drug repurposing and identified sildenafil as a potential disease risk modifier. Based on retrospective case-control pharmacoepidemiologic analyses of insurance claims data for 7.23 million individuals, we found that sildenafil usage was significantly associated with a 69% reduced risk of AD (hazard ratio = 0.31, 95% confidence interval 0.25-0.39, P<1.0×10-8). Propensity score stratified analyses confirmed that sildenafil is significantly associated with a decreased risk of AD across all four drug cohorts we tested (diltiazem, glimepiride, losartan and metformin) after adjusting age, sex, race, and disease comorbidities. We also found that sildenafil increases neurite growth and decreases phospho-tau expression in AD patient-induced pluripotent stem cells-derived neuron models, supporting mechanistically its potential beneficial effect in Alzheimer's disease. The association between sildenafil use and decreased incidence of AD does not establish causality or its direction, which requires a randomized clinical trial approach.
Collapse
Affiliation(s)
- Jiansong Fang
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Pengyue Zhang
- Department of Biostatistics, School of Medicine, Indiana University
| | - Yadi Zhou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Chien-Wei Chiang
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Juan Tan
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Yuan Hou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Shaun Stauffer
- Center for Therapeutics Discovery, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Lang Li
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Andrew A. Pieper
- Harrington Discovery Institute, University Hospital Case Medical Center; Department of Psychiatry, Case Western Reserve University, Geriatric Research Education and Clinical Centers, Louis Stokes Cleveland VAMC, Cleveland, OH 44106, USA
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA,Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA.,Correspondence to: Feixiong Cheng, Ph.D., Lerner Research Institute, Cleveland Clinic, , Tel: +1-216-4447654; Fax: +1-216-6361609
| |
Collapse
|
40
|
Anderson TS, Ayanian JZ, Souza J, Landon BE. Representativeness of Participants Eligible to Be Enrolled in Clinical Trials of Aducanumab for Alzheimer Disease Compared With Medicare Beneficiaries With Alzheimer Disease and Mild Cognitive Impairment. JAMA 2021; 326:1627-1629. [PMID: 34499725 PMCID: PMC8430904 DOI: 10.1001/jama.2021.15286] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This study evaluates whether patients enrolled in trials of aducanumab, EMERGE and ENGAGE, were representative of patients with dementia enrolled in Medicare by estimating the proportions of Medicare beneficiaries with Alzheimer disease (AD) or mild cognitive impairment (MCI) who would have been excluded from these trials.
Collapse
Affiliation(s)
- Timothy S. Anderson
- Division of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - John Z. Ayanian
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Editor, JAMA Health Forum
| | - Jeffrey Souza
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Bruce E. Landon
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
41
|
Lin PJ, Daly AT, Olchanski N, Cohen JT, Neumann PJ, Faul JD, Fillit HM, Freund KM. Dementia Diagnosis Disparities by Race and Ethnicity. Med Care 2021; 59:679-686. [PMID: 34091580 PMCID: PMC8263486 DOI: 10.1097/mlr.0000000000001577] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Dementia is often underdiagnosed and this problem is more common among some ethnoracial groups. OBJECTIVE The objective of this study was to examine racial and ethnic disparities in the timeliness of receiving a clinical diagnosis of dementia. RESEARCH DESIGN This was a prospective cohort study. SUBJECTS A total of 3966 participants age 70 years and above with probable dementia in the Health and Retirement Study, linked with their Medicare and Medicaid claims. MEASURES We performed logistic regression to compare the likelihood of having a missed or delayed dementia diagnosis in claims by race/ethnicity. We analyzed dementia severity, measured by cognition and daily function, at the time of a dementia diagnosis documented in claims, and estimated average dementia diagnosis delay, by race/ethnicity. RESULTS A higher proportion of non-Hispanic Blacks and Hispanics had a missed/delayed clinical dementia diagnosis compared with non-Hispanic Whites (46% and 54% vs. 41%, P<0.001). Fully adjusted logistic regression results suggested more frequent missed/delayed dementia diagnoses among non-Hispanic Blacks (odds ratio=1.12; 95% confidence interval: 0.91-1.38) and Hispanics (odds ratio=1.58; 95% confidence interval: 1.20-2.07). Non-Hispanic Blacks and Hispanics had a poorer cognitive function and more functional limitations than non-Hispanic Whites around the time of receiving a claims-based dementia diagnosis. The estimated mean diagnosis delay was 34.6 months for non-Hispanic Blacks and 43.8 months for Hispanics, compared with 31.2 months for non-Hispanic Whites. CONCLUSIONS Non-Hispanic Blacks and Hispanics may experience a missed or delayed diagnosis of dementia more often and have longer diagnosis delays. When diagnosed, non-Hispanic Blacks and Hispanics may have more advanced dementia. Public health efforts should prioritize racial and ethnic underrepresented communities when promoting early diagnosis of dementia.
Collapse
Affiliation(s)
- Pei-Jung Lin
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Allan T. Daly
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
| | - Natalia Olchanski
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
| | - Joshua T. Cohen
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Peter J. Neumann
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
- Department of Medicine, Tufts University School of Medicine, Boston, MA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | | | - Karen M. Freund
- Department of Medicine, Tufts University School of Medicine, Boston, MA
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA
| |
Collapse
|
42
|
Rahman M, White EM, Mills C, Thomas KS, Jutkowitz E. Rural-urban differences in diagnostic incidence and prevalence of Alzheimer's disease and related dementias. Alzheimers Dement 2021; 17:1213-1230. [PMID: 33663019 PMCID: PMC8277695 DOI: 10.1002/alz.12285] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 11/02/2020] [Accepted: 12/04/2020] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Understanding rural-urban variation in the diagnostic incidence and prevalence of Alzheimer's disease and related dementias (ADRD) will inform policies to improve timely diagnosis and access to supportive services for older adults in rural communities. METHODS Using 2008 to 2015 national claims data for fee-for-service Medicare beneficiaries (roughly 170 million person-years), we computed unadjusted and adjusted diagnostic incidence and prevalence estimates for ADRD in metropolitan, micropolitan, and rural counties, and examined differences in survival rates. RESULTS Risk-adjusted ADRD diagnostic incidence was higher in rural versus metropolitan counties despite lower prevalence. Among beneficiaries diagnosed with ADRD in 2008, metropolitan county residents experienced longer survival compared to residents in rural and micropolitan counties. DISCUSSION These data suggest that older adults in rural communities may be underdiagnosed with ADRD, and/or diagnosed at later stages of dementia. Further work is needed to develop strategies to reduce this disparity.
Collapse
Affiliation(s)
- Momotazur Rahman
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Elizabeth M White
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Caroline Mills
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Kali S Thomas
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Eric Jutkowitz
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| |
Collapse
|
43
|
Mahmoudi E, Lin P, Peterson MD, Meade M, Tate DG, Kamdar N. Letter to the Editor: Traumatic Spinal Cord Injury and Risk of Early and Late Onset Alzheimer's Disease and related Dementia: Large Longitudinal Study. Arch Phys Med Rehabil 2021; 102:1431-1432. [PMID: 33745890 PMCID: PMC10437009 DOI: 10.1016/j.apmr.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine,
University of Michigan
- Institute for Healthcare Policy and Innovation, Michigan
Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Paul Lin
- Institute for Healthcare Policy and Innovation, Michigan
Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mark D. Peterson
- Institute for Healthcare Policy and Innovation, Michigan
Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation,
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michelle Meade
- Institute for Healthcare Policy and Innovation, Michigan
Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation,
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Denise G Tate
- Department of Physical Medicine and Rehabilitation,
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan
Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Physical Medicine and Rehabilitation,
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Obstetrics and Gynecology, Michigan Medicine,
University of Michigan
- Department of Emergency Medicine, Michigan Medicine,
University of Michigan
- Department of Surgery, Michigan Medicine, University of
Michigan
- Department of Neurosurgery, Michigan Medicine, University
of Michigan
| |
Collapse
|
44
|
Tsoy E, Kiekhofer RE, Guterman EL, Tee BL, Windon CC, Dorsman KA, Lanata SC, Rabinovici GD, Miller BL, Kind AJH, Possin KL. Assessment of Racial/Ethnic Disparities in Timeliness and Comprehensiveness of Dementia Diagnosis in California. JAMA Neurol 2021; 78:657-665. [PMID: 33779684 PMCID: PMC8008426 DOI: 10.1001/jamaneurol.2021.0399] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/29/2020] [Indexed: 12/12/2022]
Abstract
Importance The US aging population is rapidly becoming more racially and ethnically diverse. Early diagnosis of dementia is a health care priority. Objective To examine the associations between race/ethnicity and timeliness of dementia diagnosis and comprehensiveness of diagnostic evaluation. Design, Setting, and Participants This retrospective cross-sectional study used 2013-2015 California Medicare fee-for-service data to examine the associations of race/ethnicity, individual factors, and contextual factors with the timeliness and comprehensiveness of dementia diagnosis. Data from 10 472 unique beneficiaries were analyzed. The sample was selected on the basis of the following criteria: presence of 1 or more claims; no diagnoses of dementia or mild cognitive impairment in 2013 to 2014; continuous enrollment in Medicare Parts A and B; Asian, Black, Hispanic, or White race/ethnicity; and incident diagnoses of dementia or mild cognitive impairment in January through June 2015. Data analyses were conducted from November 1, 2019, through November 10, 2020. Main Outcomes and Measures Timeliness of diagnosis, defined as incident diagnosis of mild cognitive impairment vs dementia, and comprehensiveness of diagnostic evaluation, defined as presence of the following services in claims within 6 months before or after the incident diagnosis date: specialist evaluation, laboratory testing, and neuroimaging studies. Results The sample comprised 10 472 unique Medicare beneficiaries with incident diagnoses of dementia or mild cognitive impairment (6504 women [62.1%]; mean [SD] age, 82.9 [8.0] years) and included 993 individuals who identified as Asian (9.5%), 407 as Black (3.9%), 1255 as Hispanic (12.0%), and 7817 as White (74.6%). Compared with White beneficiaries, those who identified as Asian (odds ratio, 0.46; 95% CI, 0.38-0.56), Black (odds ratio, 0.73; 95% CI, 0.56-0.94), or Hispanic (odds ratio, 0.62; 95% CI, 0.52-0.72) were less likely to receive a timely diagnosis. Asian beneficiaries (incidence rate ratio, 0.81; 95% CI, 0.74-0.87) also received fewer diagnostic evaluation elements. These associations remained significant after adjusting for age, sex, comorbidity burden, neighborhood disadvantage, and rurality. Conclusions and Relevance These findings highlight substantial disparities in the timeliness and comprehensiveness of dementia diagnosis. Public health interventions are needed to achieve equitable care for people living with dementia across all racial/ethnic groups.
Collapse
Affiliation(s)
- Elena Tsoy
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Rachel E. Kiekhofer
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Elan L. Guterman
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Boon Lead Tee
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Charles C. Windon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Karen A. Dorsman
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas
| | - Serggio C. Lanata
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
- Global Brain Health Institute, University of California, San Francisco, San Francisco
| | - Gil D. Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
- Associate Editor, JAMA Neurology
| | - Bruce L. Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
- Global Brain Health Institute, University of California, San Francisco, San Francisco
| | - Amy J. H. Kind
- Division of Geriatrics, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
- Geriatrics Research Education and Clinical Center, Madison Veterans Affairs Hospital, Madison, Wisconsin
| | - Katherine L. Possin
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
- Global Brain Health Institute, University of California, San Francisco, San Francisco
| |
Collapse
|
45
|
Hua CL, Thomas KS, Bunker J, Gozalo PL, Teno JM. Changes in the agreement between the Minimum Data Set and hospital Medicare claims measures of dementia. J Am Geriatr Soc 2021; 69:2672-2675. [PMID: 33929724 DOI: 10.1111/jgs.17201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/17/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Cassandra L Hua
- School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Kali S Thomas
- School of Public Health, Brown University, Providence, Rhode Island, USA.,Department of Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Jennifer Bunker
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Pedro L Gozalo
- School of Public Health, Brown University, Providence, Rhode Island, USA.,Department of Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Joan M Teno
- Division of General Internal Medicine and Geriatrics, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA
| |
Collapse
|
46
|
Dunietz GL, Chervin RD, Burke JF, Conceicao AS, Braley TJ. Obstructive Sleep Apnea Treatment and Dementia Risk in Older Adults. Sleep 2021; 44:6189102. [PMID: 33769542 DOI: 10.1093/sleep/zsab076] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/27/2021] [Indexed: 12/11/2022] Open
Abstract
STUDY OBJECTIVES To examine associations between PAP therapy, adherence and incident diagnoses of Alzheimer's disease (AD), mild cognitive impairment (MCI), and dementia not-otherwise-specified (DNOS) in older adults. METHODS This retrospective study utilized Medicare 5% fee-for-service claims data of 53,321 beneficiaries, aged 65+, with an OSA diagnosis prior to 2011. Study participants were evaluated using ICD-9 codes for neurocognitive syndromes [AD(n=1,057), DNOS(n=378), and MCI(n=443)] that were newly-identified between 2011-2013. PAP treatment was defined as presence of ≥1 durable medical equipment (HCPCS) code for PAP supplies. PAP adherence was defined as ≥2 HCPCS codes for PAP equipment, separated by≥1 month. Logistic regression models, adjusted for demographic and health characteristics, were used to estimate associations between PAP treatment or adherence and new AD, DNOS, and MCI diagnoses. RESULTS In this sample of Medicare beneficiaries with OSA, 59% were men, 90% were non-Hispanic whites and 62% were younger than 75y. The majority (78%) of beneficiaries with OSA were prescribed PAP (treated), and 74% showed evidence of adherent PAP use. In adjusted models, PAP treatment was associated with lower odds of incident diagnoses of AD and DNOS (OR=0.78, 95% CI:0.69-0.89; and OR=0.69, 95% CI:0.55-0.85). Lower odds of MCI, approaching statistical significance, were also observed among PAP users (OR=0.82, 95% CI:0.66-1.02). PAP adherence was associated with lower odds of incident diagnoses of AD (OR=0.65, 95% CI:0.56-0.76). CONCLUSIONS PAP treatment and adherence are independently associated with lower odds of incident AD diagnoses in older adults. Results suggest that treatment of OSA may reduce risk of subsequent dementia.
Collapse
Affiliation(s)
- Galit L Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
| | - Ronald D Chervin
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
| | - James F Burke
- Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
| | - Alan S Conceicao
- Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
| | - Tiffany J Braley
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
- Division of Neuroimmunology, Department of Neurology, University of Michigan, Michigan Medicine, Ann Arbor, MI, USA
| |
Collapse
|
47
|
Luth EA, Pan CX, Viola M, Prigerson HG. Dementia and Early Do-Not-Resuscitate Orders Associated With Less Intensive of End-of-Life Care: A Retrospective Cohort Study. Am J Hosp Palliat Care 2021; 38:1417-1425. [PMID: 33467864 DOI: 10.1177/1049909121989020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Dementia is a leading cause of death among US older adults. Little is known about end-of-life care intensity and do-not-resuscitate orders (DNRs) among patients with dementia who die in hospital. AIM Examine the relationship between dementia, DNR timing, and end-of-life care intensity. DESIGN Observational cohort study. SETTING/PARTICIPANTS Inpatient electronic health record extraction for 2,566 persons age 65 and older who died in 2 New York City hospitals in the United States from 2015 to 2017. RESULTS Multivariable logistic regression analyses modeled associations between dementia diagnosis, DNR timing, and 6 end-of-life care outcomes. 31% of subjects had a dementia diagnosis; 23% had a DNR on day of hospital admission. Patients with dementia were 18%-40% less likely to have received 4 of 6 types of intensive care (mechanical ventilation AOR: 0.82, 95%CI: 0.67 -1.00; intensive care unit admission AOR: 0.60, 95%CI: 0.49-0.83). Having a DNR on file was inversely associated with staying in the intensive care unit (AOR: 0.57, 95%CI: 0.47-0.70) and avoiding other intensive care measures. DNR placement later during the hospitalization and not having a DNR were associated with more intensive care compared to having a DNR upon admission. CONCLUSIONS Having dementia and a do-not resuscitate order upon hospital admission are associated with less intensive end-of-life care. Additional research is needed to understand why persons with dementia receive less intensive care. In clinical practice, encouraging advance care planning prior to and at hospital admission may be particularly important for patients wishing to avoid intensive end-of-life care, including patients with dementia.
Collapse
|
48
|
Bishop KC, Husain-Krautter S, Ketcham JD, Kuminoff NV, Schimming C. Analyzing Individual-Level Secondary Data with Instrumental Variable Methods Is Useful for Studying the Effects of Air Pollution on Dementia. J Alzheimers Dis 2021; 79:15-23. [PMID: 33252071 DOI: 10.3233/jad-200497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
We hypothesize that analyzing individual-level secondary data with instrumental variable (IV) methods can advance knowledge of the long-term effects of air pollution on dementia. We discuss issues in measurement using secondary data and how IV estimation can overcome biases due to measurement error and unmeasured variables. We link air-quality data from the Environmental Protection Agency's monitors with Medicare claims data to illustrate the use of secondary data to document associations. Additionally, we describe results from a previous study that uses an IV for pollution and finds that PM2.5's effects on dementia are larger than non-causal associations.
Collapse
Affiliation(s)
- Kelly C Bishop
- Department of Economics, Arizona State University, Tempe, AZ, USA
| | | | | | - Nicolai V Kuminoff
- Department of Economics, Arizona State University, Tempe, AZ, USA.,National Bureau of Economic Research, Cambridge, MA, USA
| | - Corbett Schimming
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.,James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
| |
Collapse
|
49
|
Jain S, Rosenbaum PR, Reiter JG, Hoffman G, Small DS, Ha J, Hill AS, Wolk DA, Gaulton T, Neuman MD, Eckenhoff RG, Fleisher LA, Silber JH. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimers Dement 2020; 17:10.1002/alz.12199. [PMID: 33090695 PMCID: PMC8296851 DOI: 10.1002/alz.12199] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 08/25/2020] [Accepted: 08/29/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION This study develops a measure of Alzheimer's disease and related dementias (ADRD) using Medicare claims. METHODS Validation resembles the approach of the American Psychological Association, including (1) content validity, (2) construct validity, and (3) predictive validity. RESULTS We found that four items-a Medicare claim recording ADRD 1 year ago, 2 years ago, 3 years ago, and a total stay of 6 months in a nursing home-exhibit a pattern of association consistent with a single underlying ADRD construct, and presence of any two of these four items predict a direct measure of cognitive function and also future claims for ADRD. DISCUSSION Our four items are internally consistent with the measurement of a single quantity. The presence of any two items do a better job than a single claim when predicting both a direct measure of cognitive function and future ADRD claims.
Collapse
Affiliation(s)
- Siddharth Jain
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
| | - Paul R. Rosenbaum
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Statistics, The Wharton School, The University of Pennsylvania, Philadelphia, PA
| | - Joseph G. Reiter
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Geoffrey Hoffman
- Department of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, USA
- University of Michigan’s Institute for Healthcare Policy and Innovation, Ann Arbor, MI, USA
| | - Dylan S. Small
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Statistics, The Wharton School, The University of Pennsylvania, Philadelphia, PA
| | - JinKyung Ha
- Division of Geriatrics/Institute of Gerontology, University of Michigan, Ann Arbor, MI, USA
| | - Alexander S. Hill
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - David A. Wolk
- Department of Neurology, The Perelman School of Medicine, The University of Pennsylvania
| | - Timothy Gaulton
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Mark D. Neuman
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Roderic G. Eckenhoff
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Lee A. Fleisher
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Center for Perioperative Outcomes Research and Transformation, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Jeffrey H. Silber
- Center for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- The Leonard Davis Institute of Health Economics, The University of Pennsylvania, Philadelphia, PA
- Department of Anesthesiology and Critical Care, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- The Departments of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Health Care Management, The Wharton School, The University of Pennsylvania, Philadelphia, PA
| |
Collapse
|
50
|
Dunietz GL, Chervin RD, Burke JF, Braley TJ. Obstructive sleep apnea treatment disparities among older adults with neurological disorders. Sleep Health 2020; 6:534-540. [PMID: 32331862 PMCID: PMC7529672 DOI: 10.1016/j.sleh.2020.01.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 01/09/2020] [Accepted: 01/13/2020] [Indexed: 11/17/2022]
Abstract
OBJECTIVE The objective of the study was to characterize obstructive sleep apnea treatment patterns among older Americans with neurological conditions. SETTING AND PARTICIPANTS Claims data from a 5% fee-for-service sample of Medicare beneficiaries were analyzed to determine the proportion of older adults with OSA who received and were adherent to continuous positive airway pressure therapy and examine potential gaps in OSA care among neurological populations. Logistic regression was used to determine whether gender or race/ethnicity modified the associations between neurological morbidities and OSA treatment or adherence. RESULTS Data from n = 102,618 beneficiaries with OSA were identified. The prevalence of stroke, cognitive disorders, or Parkinson's disease in this sample was 7%, 3%, and 2% respectively. Overall, OSA-diagnosed individuals (73%) obtained treatment, and most treated were adherent to CPAP (72%). Lower proportions of OSA treatment and adherence were observed in neurological conditions, particularly stroke. In logistic regression models, gender and race/ethnicity each modified associations between neurological comorbidity and OSA treatment and adherence. Women as compared to men with a given neurological condition were uniformly less likely to receive CPAP or adhere to treatment (P < .01 for each condition). Similarly, in comparison to whites with the same neurological condition, OSA treatment was significantly lower among all other races with stroke, and among blacks with cognitive disorders. CONCLUSIONS Older women and minorities with neurological conditions may be more vulnerable to gaps in OSA care. Targeted strategies to improve treatment disparities and neurological outcomes in older adults could be informed by these data.
Collapse
Affiliation(s)
- Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan.
| | - Ronald D Chervin
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan
| | - James F Burke
- Department of Neurology, University of Michigan, Ann Arbor, Michigan
| | - Tiffany J Braley
- Department of Neurology, University of Michigan, Ann Arbor, Michigan
| |
Collapse
|