Joe Verghese

Prof. Joe Verghese


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 September 2012 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
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JVJoe Verghese
Joe Verghese
CWCuiling Wang
Cuiling Wang
RLRichard B. Lipton
Richard B. Lipton
RHRoee Holtzer
Roee Holtzer
Despite growing evidence of links between gait and cognition in aging, cognitive risk assessments that incorporate motoric signs have not been examined. We sought to validate a new Motoric Cognitive Risk (MCR) syndrome to identify individuals at high risk of developing dementia. We evaluated 997 community residing individuals aged 70 and older participating in the Einstein Aging Study over a median follow-up time of 36.9 months. MCR syndrome was defined as presence of cognitive complaints and slow gait (one standard deviation below age- and sex-specific gait speed means) in nondemented individuals. Cox models were used to evaluate the effect of MCR syndrome on the risk of developing dementia and subtypes. Fifty-two participants met criteria for MCR syndrome at baseline with a prevalence of 7% (95% CI: 5–9%). Prevalence of MCR increased with age. Participants with MCR were at higher risk of developing dementia (hazard ratio [HR] adjusted for age, sex, and education: 3.27, 95% CI: 1.55–6.90) and vascular dementia (adjusted HR: 12.81, 95% CI: 4.98–32.97). The association of MCR with risk of dementia or vascular dementia remained significant even after accounting for other confounders and diagnostic overlap with “cognitive” mild cognitive impairment syndrome subtypes. A motor-based MCR syndrome provides a clinical approach to identify individuals at high risk for dementia, especially vascular dementia, to target for further investigations and who may benefit from preventive interventions.

19 August 2014 in Neurology
Verified
Journal Article
Closed access
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JVJoe Verghese
Joe Verghese
Cedric AnnweilerCedric Annweiler
Cedric Annweiler
EAEmmeline Ayers
Emmeline Ayers
NBNir Barzilai
Nir Barzilai
OBOlivier Beauchet
Olivier Beauchet
CWCuiling Wang
Cuiling Wang
Objectives: Our objective is to report prevalence of motoric cognitive risk syndrome (MCR), a newly described predementia syndrome characterized by slow gait and cognitive complaints, in multiple countries, and its association with dementia risk. Methods: Pooled MCR prevalence analysis of individual data from 26,802 adults without dementia and disability aged 60 years and older from 22 cohorts from 17 countries. We also examined risk of incident cognitive impairment (Mini-Mental State Examination decline ≥4 points) and dementia associated with MCR in 4,812 individuals without dementia with baseline Mini-Mental State Examination scores ≥25 from 4 prospective cohort studies using Cox models adjusted for potential confounders. Results: At baseline, 2,808 of the 26,802 participants met MCR criteria. Pooled MCR prevalence was 9.7% (95% confidence interval [CI] 8.2%–11.2%). MCR prevalence was higher with older age but there were no sex differences. MCR predicted risk of developing incident cognitive impairment in the pooled sample (adjusted hazard ratio [aHR] 2.0, 95% CI 1.7–2.4); aHRs were 1.5 to 2.7 in the individual cohorts. MCR also predicted dementia in the pooled sample (aHR 1.9, 95% CI 1.5–2.3). The results persisted even after excluding participants with possible cognitive impairment, accounting for early dementia, and diagnostic overlap with other predementia syndromes. Conclusion: MCR is common in older adults, and is a strong and early risk factor for cognitive decline. This clinical approach can be easily applied to identify high-risk seniors in a wide variety of settings.

25 August 2015 in JAMA
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Journal Article
Open access
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KSKaycee M. Sink
Kaycee M. Sink
MEMark A. Espeland
Mark A. Espeland
CSCynthia Castro Sweet
Cynthia Castro Sweet
TCTimothy Church
Timothy Church
RCRon Cohen
Ron Cohen
FIfor the LIFE Study Investigators
for the LIFE Study Investigators
Epidemiological evidence suggests that physical activity is associated with lower rates of cognitive decline. Exercise is associated with improved cerebral blood flow and neuronal connectivity,1 maintenance or improvement in brain volume,2,3 and favorable changes in brain-derived neurotrophic factor and neurogenesis.4,5 In transgenic Alzheimer mouse models, exercise reduces β-amyloid deposition.6

19 July 2010 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
Verified
Journal Article
Open access
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JVJoe Verghese
Joe Verghese
JMJeannette Mahoney
Jeannette Mahoney
AAAnne F. Ambrose
Anne F. Ambrose
CWCuiling Wang
Cuiling Wang
RHRoee Holtzer
Roee Holtzer
Attention and executive functions show strong associations with slow gait and falls in seniors and have been shown to be amenable to cognitive remediation. However, cognitive remediation as a strategy to improve mobility has not been investigated. Using a randomized single-blind control design, 24 sedentary older adults (exercise less than or equal to once weekly and gait velocity <1 m/s) were randomly assigned to an 8-week computerized cognitive remediation program or wait-list. Primary outcome was change in gait velocity during normal pace and “walking while talking” conditions. We also compared the proportion of improvers (velocity change ≥4 cm/s) in each group. The 10 participants who completed cognitive remediation improved gait velocity from baseline during normal walking (68.2 ± 20.0 vs 76.5 ± 17.9 cm/s, p = .05) and walking while talking (36.7 ± 13.5 vs 56.7 ± 20.4 cm/s, p = .002). The 10 intervention participants improved gait velocity over the 8-week intervention both during normal walking (change: 8.2 ± 11.4–1.3 ± 6.8 cm/s, p = .10) and walking while talking (change: 19.9 ± 14.9–2.5 ± 20.1 cm/s, p = .05) compared with the 10 control participants. Six intervention participants were improvers on normal pace walking compared with three controls (odds ratio = 3.0, 95% confidence interval = 0.5–19.6). All 10 intervention participants improved on walking while talking compared with 3 controls (odds ratio = 3.5, 95% confidence interval = 1.5–8.0). The findings of this pilot trial are promising and suggest that cognitive remediation may improve mobility in sedentary seniors. This approach should be validated in larger scale trials.

9 December 2014 in Neurology
Verified
Journal Article
Closed access
PDF file
JVJoe Verghese
Joe Verghese
EAEmmeline Ayers
Emmeline Ayers
NBNir Barzilai
Nir Barzilai
DBDavid A. Bennett
David A. Bennett
ABAron S. Buchman
Aron S. Buchman
CWCuiling Wang
Cuiling Wang
Objective: To report incidence and risk factors for motoric cognitive risk syndrome (MCR), a newly described predementia syndrome characterized by slow gait and cognitive complaints. Methods: We examined incidence rates of MCR in 3,128 adults aged 60 years and older, MCR- and dementia-free at baseline, participating in 4 US-based cohort studies. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the association of modifiable risk factors with risk of MCR were computed using Cox models. Results: Over a median follow-up time of 3.2 years, 823 of the 3,128 participants met MCR criteria. The overall age- and sex-adjusted incidence of MCR was 65.2/1,000 person-years (95% CI: 53.3–77.1), and ranged from 50.8/1,000 person-years to 79.6/1,000 person-years in the individual cohorts. MCR incidence was higher with older age but there were no sex differences. In the pooled sample adjusted for age, sex, education, and cohort source, strokes (HR 1.42, 95% CI: 1.14–1.77), Parkinson disease (HR 2.52, 95% CI: 1.68–3.76), depressive symptoms (HR 1.65, 95% CI: 1.28–2.13), sedentariness (HR 1.76, 95% CI: 1.44–2.17), and obesity (HR 1.39, 95% CI: 1.17–1.65) predicted risk of incident MCR. Conclusions: The incidence of MCR is high in older adults. Identification of modifiable risk factors for MCR will improve identification of high-risk individuals and help develop interventions to prevent cognitive decline in aging.

1 November 2016 in Maturitas
Verified
Journal Article
Closed access
JCJason A. Cohen
Jason A. Cohen
JVJoe Verghese
Joe Verghese
JZJessica L. Zwerling
Jessica L. Zwerling