Methods for stroke severity assessment by chart review in the Atherosclerosis Risk in Communities study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 07 2022
Historique:
received: 04 03 2022
accepted: 11 07 2022
entrez: 19 7 2022
pubmed: 20 7 2022
medline: 22 7 2022
Statut: epublish

Résumé

Stroke severity is the most important predictor of post-stroke outcome. Most longitudinal cohort studies do not include direct and validated measures of stroke severity, yet these indicators may provide valuable information about post-stroke outcomes, as well as risk factor associations. In the Atherosclerosis Risk in Communities (ARIC) study, stroke severity data were retrospectively collected, and this paper outlines the procedures used and shares them as a model for assessment of stroke severity in other large epidemiologic studies. Trained physician abstractors, who were blinded to other clinical events, reviewed hospital charts of all definite/probable stroke events occurring in ARIC. In this analysis we included 1,198 ischemic stroke events occurring from ARIC baseline (1987-1989) through December 31, 2009. Stroke severity was categorized according to the National Institutes of Health Stroke Scale (NIHSS) score and classified into 5 levels: NIHSS ≤ 5 (minor), NIHSS 6-10 (mild), NIHSS 11-15 (moderate), NIHSS 16-20 (severe), and NIHSS > 20 (very severe). We assessed interrater reliability in a subgroup of 180 stroke events, reviewed independently by the lead abstraction physician and one of the four secondary physician abstractors. Interrater correlation coefficients for continuous NIHSS score as well as percentage of absolute agreement and Cohen Kappa Statistic for NIHSS categories were presented. Determination of stroke severity by the NIHSS, based on data abstracted from hospital charts, was possible for 97% of all ischemic stroke events. Median (25%-75%) NIHSS score was 5 (2-8). The distribution of NIHSS category was NIHSS ≤ 5 = 58.3%, NIHSS 6-10 = 24.5%, NIHSS 11-15 = 8.9%, NIHSS 16-20 = 4.7%, NIHSS > 20 = 3.6%. Overall agreement in the classification of severity by NIHSS category was present in 145/180 events (80.56%). Cohen's simple Kappa statistic (95% CI) was 0.64 (0.55-0.74) and weighted Kappa was 0.79 (0.72-0.86). Mean (SD) NIHSS score was 5.84 (5.88), with a median score of 4 and range 0-31 for the lead reviewer (rater 1) and mean (SD) 6.16 (6.10), median 4.5 and range 0-36 in the second independent assessment (rater 2). There was a very high correlation between the scores reported in both assessments (Pearson r = 0.90). Based on our findings, we conclude that hospital chart-based retrospective assessment of stroke severity using the NIHSS is feasible and reliable.

Identifiants

pubmed: 35853922
doi: 10.1038/s41598-022-16522-7
pii: 10.1038/s41598-022-16522-7
pmc: PMC9296538
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

12338

Subventions

Organisme : NIH HHS
ID : K23 NS112459
Pays : United States
Organisme : NIH HHS
ID : K24 AG052573
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096812
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096814
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096899
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096902
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096917
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL070825
Pays : United States

Informations de copyright

© 2022. The Author(s).

Références

Stroke. 2008 Jun;39(6):1821-6
pubmed: 18403738
Stroke. 1999 Apr;30(4):736-43
pubmed: 10187871
JAMA. 2014 Jul 16;312(3):259-68
pubmed: 25027141
Int J Health Econ Manag. 2017 Feb 28;:
pubmed: 28247174
Stroke. 2000 Apr;31(4):858-62
pubmed: 10753988
Stroke. 2017 Feb;48(2):513-519
pubmed: 28077454
J Biomed Inform. 2019 Jul;95:103208
pubmed: 31078660
J Am Heart Assoc. 2016 Jan 21;5(1):
pubmed: 26796252
Neurol Sci. 2018 Oct;39(10):1751-1755
pubmed: 30009334
J Biomed Inform. 2009 Apr;42(2):377-81
pubmed: 18929686
Stroke. 2013 Nov;44(11):3211-3
pubmed: 24003048
J Stroke Cerebrovasc Dis. 2005 Nov-Dec;14(6):281-3
pubmed: 17904038
Stroke. 2003 Jan;34(1):200-2
pubmed: 12511774
J Am Coll Cardiol. 2021 Jun 15;77(23):2939-2959
pubmed: 34112321
Stroke. 2012 Jun;43(6):1537-41
pubmed: 22492517
N Engl J Med. 1995 Dec 14;333(24):1581-7
pubmed: 7477192
JAMA Neurol. 2020 May 1;77(5):606-612
pubmed: 32065612
Int J Cardiol. 2013 Oct 9;168(4):4081-4
pubmed: 23871354
Neurology. 1994 Apr;44(4):626-34
pubmed: 8164815

Auteurs

Silvia Koton (S)

Sackler Faculty of Medicine, The Herczeg Institute on Aging and The Stanley Steyer School of Health Professions, Tel Aviv University, 6997801, Tel Aviv, Israel. koton@tauex.tau.ac.il.
Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA. koton@tauex.tau.ac.il.

Shalom Patole (S)

Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA.

Julia M Carlson (JM)

Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

Taylor Haight (T)

Department of Neurology, Virginia Commonwealth University, Richmond, VA, USA.

Michelle Johansen (M)

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Andrea L C Schneider (ALC)

Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.

James Russell Pike (JR)

Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.

Rebecca F Gottesman (RF)

Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, MD, USA.

Josef Coresh (J)

Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH