NCT05612815

Brief Summary

The purpose of this study is to investigate whether Oxford Cognitive Screen (OCS) can be used as a predictive tool during hospital admission in younger (\<65 years) stroke patients, i.e. whether OCS is able to predict the level of cognitive functioning in these patients at 3- and 9-months post-stroke. Secondarily the investigators also want to examine the relationship between OCS scores and the patients' self-report regarding general level of functioning, and if there is a significant development in cognitive level over time by comparing OCS-scores at the different time points. The investigators predict that: a) Baseline OCS-score collected in the sub-acute phase during hospital admission will be helpful in predicting future level of cognitive functioning and level of general functioning: a low score at baseline will be associated with a relatively low score on the supplementary cognitive tests at 3- and 9-months post-stroke and a lower level of general functioning, and vice versa. B) Adding background information to the baseline data of the patients will improve the prediction regarding the future cognitive and general level of functioning. C) At 3- and 9-months post stroke we expect there to be a correlation between OCS-score and the patient's self-report of general functioning, where a low score on OCS will equal self-reports of low general functioning. D) The investigators expect to see significant differences in OCS-scores at different time points indicative of cognitive remission.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
90

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Nov 2022

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 25, 2022

Completed
16 days until next milestone

First Posted

Study publicly available on registry

November 10, 2022

Completed
12 days until next milestone

Study Start

First participant enrolled

November 22, 2022

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2024

Completed
Last Updated

November 16, 2022

Status Verified

November 1, 2022

Enrollment Period

1.9 years

First QC Date

October 25, 2022

Last Update Submit

November 15, 2022

Conditions

Keywords

StrokeCognitionCognitiveApoplexyCerebrovascular accidentCerebral accidentCerebral infarctionOxford cognitive screen (OCS)Cognitive functioningPost-strokeCognitive impairmentNeuropsychological evaluationCognitive testCognitive remissionHospital anxiety and depression scale (HADS)Minimum data set home care (MDS-HC)Multiple fatigue inventory (MFI-20)

Outcome Measures

Primary Outcomes (4)

  • Predicting cognitive outcome

    The patient will be tested with a neurocognitive battery. The test battery will be the same for each patient and will be used as the outcome measure for cognitive functioning. The tests are chosen from those that are widely used in the clinic during hospital admission and preferably have known Danish normative data. The reason for the supplementary neuropsychological testing is the limited sensitivity inherent to screening instruments. We will choose tests that correspond to the cognitive domains examined in the OCS. We will aggregate a sumscore (0-10) based on the number of domains the patient is impaired by using normative data associated with the specific tests. A low sumscore will correlate with little or no impairment whereas a high score will corelate with greater impairment. In the executive domain two tests are chosen to cover more aspects, and to increase sensitivity. If one of the tests indicates impairment, then the domain will be scored as impaired.

    at 3 months follow-up

  • Predicting functional outcome

    MDS-HC will be used as a measure of functional outcome. Minimum data set - home care (MDS-HC): MDS-HC is an observation- and interview-based tool designed to be filled out by health care professionals for patients receiving home care. The questionnaire is designed to measure functional and cognitive impairments and pass on identification- and health-related information about the patient. In this study we will only use the section of the questionnaire containing questions regarding Instrumental Activities of Daily Living (IADL)-functions which will be filled out by interviewing the patient and if needed supplemented by interviewing someone close to the patient, preferably a person cohabitating with the patient. The questions regarding IADL is rated both with regards to how well the patient performs a task, but also with regards to how difficult it is for the patient to do the task. The questions have been informally translated to Danish and will be used in this form.

    at 3 months follow-up

  • Predicting cognitive outcome

    The patient will be tested with a neurocognitive battery. The test battery will be the same for each patient and will be used as the outcome measure for cognitive functioning. The tests are chosen from those that are widely used in the clinic during hospital admission and preferably have known Danish normative data. The reason for the supplementary neuropsychological testing is the limited sensitivity inherent to screening instruments. We will choose tests that correspond to the cognitive domains examined in the OCS. We will aggregate a sumscore (0-10) based on the number of domains the patient is impaired by using normative data associated with the specific tests. A low sumscore will correlate with little or no impairment whereas a high score will corelate with greater impairment. In the executive domain two tests are chosen to cover more aspects, and to increase sensitivity. If one of the tests indicates impairment, then the domain will be scored as impaired.

    at 9 months follow-up

  • Predicting functional outcome

    MDS-HC will be used as a measure of functional outcome. Minimum data set - home care (MDS-HC): MDS-HC is an observation- and interview-based tool designed to be filled out by health care professionals for patients receiving home care. The questionnaire is designed to measure functional and cognitive impairments and pass on identification- and health-related information about the patient. In this study we will only use the section of the questionnaire containing questions regarding IADL-functions which will be filled out by interviewing the patient and if needed supplemented by interviewing someone close to the patient, preferably a person cohabitating with the patient. The questions regarding IADL is rated both with regards to how well the patient performs a task, but also with regards to how difficult it is for the patient to do the task. The questions have been informally translated to Danish and will be used in this form.

    at 9 months follow-up

Secondary Outcomes (1)

  • Change from baseline in the OCS-scores at 3- and 9-months

    At baseline, 3- and 9- months follow-up

Eligibility Criteria

Age18 Years - 64 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)
Sampling MethodProbability Sample
Study Population

This study will include approximately 90 stroke patients recruited from the subacute stroke unit at Bispebjerg Hospital and the subacute stroke unit at Glostrup Hospital. The patients will be assessed three times: during their hospitalization, after 3 months and again after 9 months. The population of this study are patients admitted to the stroke units, who fulfill the above mentioned inclusion- and exclusion criteria.

You may qualify if:

  • Patients must 1) be diagnosed with stroke, 2) have NIHSS on admission ≥ 2, 3) have findings on imaging confirming stroke, 4) be aged ≥ 18 \< 65, 5) achieve a score below cutoff in at least one partial assignment measured with OCS, 6) be capable of giving informed consent, 7) is able to communicate confidently in Danish.

You may not qualify if:

  • Patients will be excluded if they 1) have a premorbid neurological illness that currently affect cognitive functions, 2) are delirious or suspected to be delirious at the time of baseline testing, 3) have a current or previously diagnosed brain tumor, 4) have a comorbid oncological illness that affect brain functions, 5) have reported alcohol abuse, 6) have a comorbid psychiatric disease necessitating treatment simultaneously with admission due to stroke.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Bispebjerg hospital

Copenhagen, Capital Region, 2400, Denmark

Location

Related Publications (23)

  • Boot E, Ekker MS, Putaala J, Kittner S, De Leeuw FE, Tuladhar AM. Ischaemic stroke in young adults: a global perspective. J Neurol Neurosurg Psychiatry. 2020 Apr;91(4):411-417. doi: 10.1136/jnnp-2019-322424. Epub 2020 Feb 3.

    PMID: 32015089BACKGROUND
  • Buvarp D, Rafsten L, Abzhandadze T, Sunnerhagen KS. A prospective cohort study on longitudinal trajectories of cognitive function after stroke. Sci Rep. 2021 Aug 26;11(1):17271. doi: 10.1038/s41598-021-96347-y.

    PMID: 34446763BACKGROUND
  • Demeyere N, Riddoch MJ, Slavkova ED, Bickerton WL, Humphreys GW. The Oxford Cognitive Screen (OCS): validation of a stroke-specific short cognitive screening tool. Psychol Assess. 2015 Sep;27(3):883-94. doi: 10.1037/pas0000082. Epub 2015 Mar 2.

    PMID: 25730165BACKGROUND
  • George MG, Tong X, Kuklina EV, Labarthe DR. Trends in stroke hospitalizations and associated risk factors among children and young adults, 1995-2008. Ann Neurol. 2011 Nov;70(5):713-21. doi: 10.1002/ana.22539. Epub 2011 Sep 2.

    PMID: 21898534BACKGROUND
  • Groppo E, De Gennaro R, Granieri G, Fazio P, Cesnik E, Granieri E, Casetta I. Incidence and prognosis of stroke in young adults: a population-based study in Ferrara, Italy. Neurol Sci. 2012 Feb;33(1):53-8. doi: 10.1007/s10072-011-0654-9. Epub 2011 Jun 22.

    PMID: 21695657BACKGROUND
  • Kissela BM, Khoury JC, Alwell K, Moomaw CJ, Woo D, Adeoye O, Flaherty ML, Khatri P, Ferioli S, De Los Rios La Rosa F, Broderick JP, Kleindorfer DO. Age at stroke: temporal trends in stroke incidence in a large, biracial population. Neurology. 2012 Oct 23;79(17):1781-7. doi: 10.1212/WNL.0b013e318270401d. Epub 2012 Oct 10.

    PMID: 23054237BACKGROUND
  • Landi F, Tua E, Onder G, Carrara B, Sgadari A, Rinaldi C, Gambassi G, Lattanzio F, Bernabei R; SILVERNET-HC Study Group of Bergamo. Minimum data set for home care: a valid instrument to assess frail older people living in the community. Med Care. 2000 Dec;38(12):1184-90. doi: 10.1097/00005650-200012000-00005.

    PMID: 11186297BACKGROUND
  • Mancuso M, Demeyere N, Abbruzzese L, Damora A, Varalta V, Pirrotta F, Antonucci G, Matano A, Caputo M, Caruso MG, Pontiggia GT, Coccia M, Ciancarelli I, Zoccolotti P; Italian OCS Group. Using the Oxford Cognitive Screen to Detect Cognitive Impairment in Stroke Patients: A Comparison with the Mini-Mental State Examination. Front Neurol. 2018 Feb 28;9:101. doi: 10.3389/fneur.2018.00101. eCollection 2018.

    PMID: 29541055BACKGROUND
  • Manoli R, Chartaux-Danjou L, Delecroix H, Daveluy W, Moroni C. Is Multidimensional Fatigue Inventory (MFI-20) adequate to measure brain injury related fatigue? Disabil Health J. 2020 Jul;13(3):100913. doi: 10.1016/j.dhjo.2020.100913. Epub 2020 Mar 26.

    PMID: 32273197BACKGROUND
  • Marini C, Russo T, Felzani G. Incidence of stroke in young adults: a review. Stroke Res Treat. 2010 Dec 19;2011:535672. doi: 10.4061/2011/535672.

    PMID: 21197401BACKGROUND
  • Middleton LE, Lam B, Fahmi H, Black SE, McIlroy WE, Stuss DT, Danells C, Ween J, Turner GR. Frequency of domain-specific cognitive impairment in sub-acute and chronic stroke. NeuroRehabilitation. 2014;34(2):305-12. doi: 10.3233/NRE-131030.

    PMID: 24401826BACKGROUND
  • Morris JN, Fries BE, Steel K, Ikegami N, Bernabei R, Carpenter GI, Gilgen R, Hirdes JP, Topinkova E. Comprehensive clinical assessment in community setting: applicability of the MDS-HC. J Am Geriatr Soc. 1997 Aug;45(8):1017-24. doi: 10.1111/j.1532-5415.1997.tb02975.x.

    PMID: 9256857BACKGROUND
  • Morsund AH, Ellekjaer H, Gramstad A, Reiestad MT, Midgard R, Sando SB, Jonsbu E, Naess H. The development of cognitive and emotional impairment after a minor stroke: A longitudinal study. Acta Neurol Scand. 2019 Oct;140(4):281-289. doi: 10.1111/ane.13143. Epub 2019 Jul 15.

    PMID: 31265131BACKGROUND
  • Nawaz B, Eide GE, Fromm A, Oygarden H, Sand KM, Thomassen L, Naess H, Waje-Andreassen U. Young ischaemic stroke incidence and demographic characteristics - The Norwegian stroke in the young study - A three-generation research program. Eur Stroke J. 2019 Dec;4(4):347-354. doi: 10.1177/2396987319863601. Epub 2019 Jul 16.

    PMID: 31903433BACKGROUND
  • Petersen, A. H., Forchhammer, B. H. (2020). Neuropsykologisk rehabilitering i: Starrfelt, R., Gerlach, C. & Gade, A. (Red.), Klinisk neuropsykologi (s. 509-524). Frydenlund.

    BACKGROUND
  • Putaala J, Metso AJ, Metso TM, Konkola N, Kraemer Y, Haapaniemi E, Kaste M, Tatlisumak T. Analysis of 1008 consecutive patients aged 15 to 49 with first-ever ischemic stroke: the Helsinki young stroke registry. Stroke. 2009 Apr;40(4):1195-203. doi: 10.1161/STROKEAHA.108.529883. Epub 2009 Feb 26.

    PMID: 19246709BACKGROUND
  • Putaala J, Yesilot N, Waje-Andreassen U, Pitkaniemi J, Vassilopoulou S, Nardi K, Odier C, Hofgart G, Engelter S, Burow A, Mihalka L, Kloss M, Ferrari J, Lemmens R, Coban O, Haapaniemi E, Maaijwee N, Rutten-Jacobs L, Bersano A, Cereda C, Baron P, Borellini L, Valcarenghi C, Thomassen L, Grau AJ, Palm F, Urbanek C, Tuncay R, Durukan-Tolvanen A, van Dijk EJ, de Leeuw FE, Thijs V, Greisenegger S, Vemmos K, Lichy C, Bereczki D, Csiba L, Michel P, Leys D, Spengos K, Naess H, Bahar SZ, Tatlisumak T. Demographic and geographic vascular risk factor differences in European young adults with ischemic stroke: the 15 cities young stroke study. Stroke. 2012 Oct;43(10):2624-30. doi: 10.1161/STROKEAHA.112.662866. Epub 2012 Jul 12.

    PMID: 22798330BACKGROUND
  • Robotham RJ, Riis JO, Demeyere N. A Danish version of the Oxford cognitive screen: a stroke-specific screening test as an alternative to the MoCA. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2020 Jan;27(1):52-65. doi: 10.1080/13825585.2019.1577352. Epub 2019 Feb 11.

    PMID: 30741100BACKGROUND
  • Saa JP, Tse T, Baum C, Cumming T, Josman N, Rose M, Carey L. Longitudinal evaluation of cognition after stroke - A systematic scoping review. PLoS One. 2019 Aug 29;14(8):e0221735. doi: 10.1371/journal.pone.0221735. eCollection 2019.

    PMID: 31465492BACKGROUND
  • Sagen U, Vik TG, Moum T, Morland T, Finset A, Dammen T. Screening for anxiety and depression after stroke: comparison of the hospital anxiety and depression scale and the Montgomery and Asberg depression rating scale. J Psychosom Res. 2009 Oct;67(4):325-32. doi: 10.1016/j.jpsychores.2009.03.007. Epub 2009 Apr 17.

    PMID: 19773025BACKGROUND
  • Smets EM, Garssen B, Bonke B, De Haes JC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995 Apr;39(3):315-25. doi: 10.1016/0022-3999(94)00125-o.

    PMID: 7636775BACKGROUND
  • Varona JF, Guerra JM, Bermejo F, Molina JA, Gomez de la Camara A. Causes of ischemic stroke in young adults, and evolution of the etiological diagnosis over the long term. Eur Neurol. 2007;57(4):212-8. doi: 10.1159/000099161. Epub 2007 Jan 26.

    PMID: 17268202BACKGROUND
  • Watt T, Groenvold M, Bjorner JB, Noerholm V, Rasmussen NA, Bech P. Fatigue in the Danish general population. Influence of sociodemographic factors and disease. J Epidemiol Community Health. 2000 Nov;54(11):827-33. doi: 10.1136/jech.54.11.827.

    PMID: 11027196BACKGROUND

MeSH Terms

Conditions

StrokeCerebral InfarctionCognitive DysfunctionDepression

Condition Hierarchy (Ancestors)

Cerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesVascular DiseasesCardiovascular DiseasesBrain InfarctionBrain IschemiaInfarctionIschemiaPathologic ProcessesPathological Conditions, Signs and SymptomsNecrosisCognition DisordersNeurocognitive DisordersMental DisordersBehavioral SymptomsBehavior

Study Officials

  • Hana M. Rytter, Ph.d Psych.

    RegionH

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Pernille C Pomiklo, ba.psych

CONTACT

Hana M Rytter, Ph.d Psych.

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal investigator

Study Record Dates

First Submitted

October 25, 2022

First Posted

November 10, 2022

Study Start

November 22, 2022

Primary Completion

October 1, 2024

Study Completion

October 1, 2024

Last Updated

November 16, 2022

Record last verified: 2022-11

Locations