#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Cerebral white matter disease and functional decline in older adults from the Northern Manhattan Study: A longitudinal cohort study


Using data from the Northern Manhattan Study, Mandip and colleagues examine the association between cerebral white matter disease and functional decline in older adults.


Vyšlo v časopise: Cerebral white matter disease and functional decline in older adults from the Northern Manhattan Study: A longitudinal cohort study. PLoS Med 15(3): e32767. doi:10.1371/journal.pmed.1002529
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1002529

Souhrn

Using data from the Northern Manhattan Study, Mandip and colleagues examine the association between cerebral white matter disease and functional decline in older adults.


Zdroje

1. Hofer E, Cavalieri M, Bis JC, DeCarli C, Fornage M, et al. (2015) White Matter Lesion Progression: Genome-Wide Search for Genetic Influences. Stroke 46: 3048–3057. doi: 10.1161/STROKEAHA.115.009252 26451028

2. Ntaios G, Lip GY, Lambrou D, Papavasileiou V, Manios E, et al. (2015) Leukoaraiosis and stroke recurrence risk in patients with and without atrial fibrillation. Neurology 84: 1213–1219. doi: 10.1212/WNL.0000000000001402 25695964

3. Kuller LH, Arnold AM, Longstreth WT Jr., Manolio TA, O'Leary DH, et al. (2007) White matter grade and ventricular volume on brain MRI as markers of longevity in the cardiovascular health study. Neurobiol Aging 28: 1307–1315. doi: 10.1016/j.neurobiolaging.2006.06.010 16857296

4. Longstreth WT Jr., Dulberg C, Manolio TA, Lewis MR, Beauchamp NJ Jr., et al. (2002) Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 33: 2376–2382. 12364724

5. Baune BT, Schmidt WP, Roesler A, Berger K (2009) Functional consequences of subcortical white matter lesions and MRI-defined brain infarct in an elderly general population. J Geriatr Psychiatry Neurol 22: 266–273. doi: 10.1177/0891988709342722 19690323

6. Pohjasvaara TI, Jokinen H, Ylikoski R, Kalska H, Mantyla R, et al. (2007) White matter lesions are related to impaired instrumental activities of daily living poststroke. J Stroke Cerebrovasc Dis 16: 251–258. doi: 10.1016/j.jstrokecerebrovasdis.2007.08.001 18035242

7. Rosano C, Kuller LH, Chung H, Arnold AM, Longstreth WT Jr., et al. (2005) Subclinical brain magnetic resonance imaging abnormalities predict physical functional decline in high-functioning older adults. J Am Geriatr Soc 53: 649–654. doi: 10.1111/j.1532-5415.2005.53214.x 15817012

8. Poggesi A, Pantoni L, Grp LS (2011) 2001–2011: A Decade of the LADIS (Leukoaraiosis And DISability) Study: What Have We Learned about White Matter Changes and Small-Vessel Disease? Cerebrovascular Diseases 32: 577–588.

9. Dong C, Nabizadeh N, Caunca M, Cheung YK, Rundek T, et al. (2015) Cognitive correlates of white matter lesion load and brain atrophy: the Northern Manhattan Study. Neurology 85: 441–449. doi: 10.1212/WNL.0000000000001716 26156514

10. Dhamoon MS, Cheung YK, Bagci A, Alperin N, Sacco RL, et al. (2017) Differential Effect of Left vs. Right White Matter Hyperintensity Burden on Functional Decline: The Northern Manhattan Study. Front Aging Neurosci 9: 305. doi: 10.3389/fnagi.2017.00305 28970793

11. Elkind MS, Sciacca R, Boden-Albala B, Rundek T, Paik MC, et al. (2006) Moderate alcohol consumption reduces risk of ischemic stroke: the Northern Manhattan Study. Stroke 37: 13–19. doi: 10.1161/01.STR.0000195048.86810.5b 16306464

12. Gentry EM, Kalsbeek WD, Hogelin GC, Jones JT, Gaines KL, et al. (1985) The behavioral risk factor surveys: II. Design, methods, and estimates from combined state data. Am J Prev Med 1: 9–14. 3870927

13. Folstein MF, Folstein SE, McHugh PR (1975) "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12: 189–198. 1202204

14. Sacco RL, Anand K, Lee HS, Boden-Albala B, Stabler S, et al. (2004) Homocysteine and the risk of ischemic stroke in a triethnic cohort: the NOrthern MAnhattan Study. Stroke 35: 2263–2269. doi: 10.1161/01.STR.0000142374.33919.92 15345803

15. Mahoney FI, Barthel DW (1965) Functional Evaluation: The Barthel Index. Md State Med J 14: 61–65.

16. Granger CV, Dewis LS, Peters NC, Sherwood CC, Barrett JE (1979) Stroke rehabilitation: analysis of repeated Barthel index measures. Arch Phys Med Rehabil 60: 14–17. 420565

17. Shinar D, Gross CR, Bronstein KS, Licata-Gehr EE, Eden DT, et al. (1987) Reliability of the activities of daily living scale and its use in telephone interview. Arch Phys Med Rehabil 68: 723–728. 3662782

18. Bath PM, Gray LJ, Collier T, Pocock S, Carpenter J (2007) Can we improve the statistical analysis of stroke trials? Statistical reanalysis of functional outcomes in stroke trials. Stroke 38: 1911–1915. doi: 10.1161/STROKEAHA.106.474080 17463316

19. Saver JL (2011) Optimal end points for acute stroke therapy trials: best ways to measure treatment effects of drugs and devices. Stroke 42: 2356–2362. doi: 10.1161/STROKEAHA.111.619122 21719772

20. Song F, Jerosch-Herold C, Holland R, Drachler Mde L, Mares K, et al. (2006) Statistical methods for analysing Barthel scores in trials of poststroke interventions: a review and computer simulations. Clin Rehabil 20: 347–356. doi: 10.1191/0269215506cr948oa 16719033

21. Glazer H, Dong C, Yoshita M, Rundek T, Elkind MS, et al. (2015) Subclinical cerebrovascular disease inversely associates with learning ability: The NOMAS. Neurology 84: 2362–2367. doi: 10.1212/WNL.0000000000001657 26002489

22. Wright CB, Dong C, Caunca M, Rundek T, Elkind MSV, et al. (2016) White Matter Hyperintensity Burden is associated with Cognitive Decline: The Northern Manhattan Study. Journal of the American Geriatrics Society in press.

23. Inzitari D, Simoni M, Pracucci G, Poggesi A, Basile AM, et al. (2007) Risk of rapid global functional decline in elderly patients with severe cerebral age-related white matter changes: the LADIS study. Arch Intern Med 167: 81–88. doi: 10.1001/archinte.167.1.81 17210882

24. Inzitari D, Pracucci G, Poggesi A, Carlucci G, Barkhof F, et al. (2009) Changes in white matter as determinant of global functional decline in older independent outpatients: three year follow-up of LADIS (leukoaraiosis and disability) study cohort. Bmj 339: b2477. doi: 10.1136/bmj.b2477 19581317

25. Kreisel SH, Blahak C, Bazner H, Inzitari D, Pantoni L, et al. (2013) Deterioration of gait and balance over time: the effects of age-related white matter change—the LADIS study. Cerebrovasc Dis 35: 544–553. doi: 10.1159/000350725 23838682

26. Zheng JJ, Delbaere K, Close JC, Sachdev P, Wen W, et al. (2012) White matter hyperintensities are an independent predictor of physical decline in community-dwelling older people. Gerontology 58: 398–406. doi: 10.1159/000337815 22614074

27. Wakefield DB, Moscufo N, Guttmann CR, Kuchel GA, Kaplan RF, et al. (2010) White matter hyperintensities predict functional decline in voiding, mobility, and cognition in older adults. J Am Geriatr Soc 58: 275–281. doi: 10.1111/j.1532-5415.2009.02699.x 20374403

28. Callisaya ML, Beare R, Phan TG, Blizzard L, Thrift AG, et al. (2013) Brain structural change and gait decline: a longitudinal population-based study. J Am Geriatr Soc 61: 1074–1079. doi: 10.1111/jgs.12331 23796055

29. Choi P, Ren M, Phan TG, Callisaya M, Ly JV, et al. (2012) Silent infarcts and cerebral microbleeds modify the associations of white matter lesions with gait and postural stability: population-based study. Stroke 43: 1505–1510. doi: 10.1161/STROKEAHA.111.647271 22442168

30. Poggesi A, Gouw A, van der Flier W, Pracucci G, Chabriat H, et al. (2013) Cerebral white matter changes are associated with abnormalities on neurological examination in non-disabled elderly: the LADIS study. J Neurol 260: 1014–1021. doi: 10.1007/s00415-012-6748-3 23180181

31. Poggesi A, Gouw A, van der Flier W, Pracucci G, Chabriat H, et al. (2014) Neurological abnormalities predict disability: the LADIS (Leukoaraiosis And DISability) study. J Neurol 261: 1160–1169. doi: 10.1007/s00415-014-7332-9 24723116

32. Rosano C, Brach J, Studenski S, Longstreth WT Jr., Newman AB (2007) Gait variability is associated with subclinical brain vascular abnormalities in high-functioning older adults. Neuroepidemiology 29: 193–200. doi: 10.1159/000111582 18043004

Štítky
Interné lekárstvo

Článok vyšiel v časopise

PLOS Medicine


2018 Číslo 3
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Získaná hemofilie - Povědomí o nemoci a její diagnostika
nový kurz

Eozinofilní granulomatóza s polyangiitidou
Autori: doc. MUDr. Martina Doubková, Ph.D.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#