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Profiles of the National Institutes of Health Stroke Scale items as a predictor of patient outcome.

ABSTRACT: Initial National Institutes of Health Stroke Scale (NIHSS) score is highly predictive of outcome after ischemic stroke. We examined whether grouping strokes by presence of individual NIHSS symptoms could provide prognostic information additional or alternative to the NIHSS total score.Ischemic strokes from the Greater Cincinnati Northern Kentucky Stroke Study in 2005 were used to develop the model. Latent class analysis was implemented to form groups of patients with similar retrospective NIHSS (rNIHSS) item responses. Profile group was then used as an independent predictor of discharge modified Rankin and mortality, using logistic regression and Cox proportional hazards model.A total of 2112 stroke patients were identified in 2005. Six distinct profiles were characterized. Consistent with the profile patterns, the median rNIHSS total score decreased from profile A "most severe" (median [interquartile range], 20 [15-25]) to profile F "mild" (1[1-2]). Two profiles falling between these extremes, C and D, both had median rNIHSS total score of 5, but different survival rates. Compared with A, C was associated with 59% risk reduction for death, whereas D with 70%. C patients were more likely to have decreased level of consciousness and abnormal language, whereas D patients were more likely to have abnormal right arm and right leg motor function.Six rNIHSS profiles were identifiable using latent class analysis. In particular, 2 symptom profiles with identical median rNIHSSS were observed with widely disparate outcomes, which may prove useful both clinically and for research studies as an enhancement to the overall NIHSS score.

SUBMITTER: Sucharew H

PROVIDER: S-EPMC4190834 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Profiles of the National Institutes of Health Stroke Scale items as a predictor of patient outcome.

Sucharew Heidi H Khoury Jane J Moomaw Charles J CJ Alwell Kathleen K Kissela Brett M BM Belagaje Samir S Adeoye Opeolu O Khatri Pooja P Woo Daniel D Flaherty Matthew L ML Ferioli Simona S Heitsch Laura L Broderick Joseph P JP Kleindorfer Dawn D

Stroke 20130523 8

<h4>Background and purpose</h4>Initial National Institutes of Health Stroke Scale (NIHSS) score is highly predictive of outcome after ischemic stroke. We examined whether grouping strokes by presence of individual NIHSS symptoms could provide prognostic information additional or alternative to the NIHSS total score.<h4>Methods</h4>Ischemic strokes from the Greater Cincinnati Northern Kentucky Stroke Study in 2005 were used to develop the model. Latent class analysis was implemented to form group ...[more]

PMID: 23704102

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Project description:BackgroundThe Centers for Medicare and Medicaid Services (CMS) penalizes hospitals for higher than expected 30-day mortality rates using methods without accounting for condition severity risk adjustment. For patients with stroke, CMS claims did not quantify stroke severity until recently, when the National Institutes of Health Stroke Scale (NIHSS) reporting began.ObjectiveExamine the predictive ability of claim-based NIHSS to predict 30-day mortality and 30-day hospital readmission in patients with ischemic stroke.DesignRetrospective cohort study of Medicare claims data.PatientsMedicare beneficiaries with ischemic stroke (N=43,241) acute hospitalization between October 2016 and November 2017.MeasurementsAll-cause 30-day mortality and 30-day hospital readmission. NIHSS score was derived from ICD-10 codes and stratified into the following: minor to moderate, moderate, moderate to severe, and severe categories.ResultsAmong 43,241 patients with ischemic stroke with NIHSS from 2,659 US hospitals, 64.6% had minor to moderate stroke, 14.3% had moderate, 12.7% had moderate to severe, and 8.5% had a severe stroke,10.1% died within 30 days, 12.1% were readmitted within 30 days. The NIHSS exhibited stronger discriminant property (C-statistic 0.83, 95% CI: 0.82-0.84) for 30-day mortality compared to Elixhauser (0.74, 95% CI: 0.73-0.75). A monotonic increase in the adjusted 30-day mortality risk occurred relative to minor to moderate stroke category: hazard ratio [HR]=2.92 (95% CI=2.59-3.29) for moderate stroke, HR=5.49 (95% CI=4.90-6.15) for moderate to severe stroke, and HR=7.82 (95% CI=6.95-8.80) for severe stroke. After accounting for competing risk of mortality, there was a significantly higher readmission risk in the moderate stroke (HR=1.11, 95% CI=1.03-1.20), but significantly lower readmission risk in the severe stroke (HR=0.84, 95% CI=0.74-0.95) categories.LimitationTiming of NIHSS reporting during hospitalization is unknown.ConclusionsMedicare claim-based NIHSS is significantly associated with 30-day mortality in Medicare patients with ischemic stroke and significantly improves discriminant property relative to the Elixhauser comorbidity index.

Project description:BackgroundNational Institutes of Health Stroke Scale (NIHSS) is the most validated clinical scale for stroke recognition, severity grading, and symptom monitoring in acute care and hospital settings. Numerous modified prehospital stroke scales exist, but these scales contain less clinical information and lack compatibility with in-hospital stroke scales. In this real-life study, we aimed to investigate if NIHSS conducted by paramedics in the field is a feasible and accurate prehospital diagnostic tool.MethodsThis prospective cohort study is part of Treat-NASPP (Treat-Norwegian Acute Stroke Prehospital Project) conducted at a single medical center in Østfold, Norway. Sixty-three paramedics were trained and certified in NIHSS, and the prehospital NIHSS scores were compared with the scores obtained by in-hospital stroke physicians. Interrater agreement was assessed using a Bland-Altman plot with 95% limits of agreement. In secondary analysis, Cohen κ was used for the clinical categories NIHSS score of 0 to 5 and ≥6. As a safety measure, prehospital time was compared between paramedics conducting NIHSS and conventional paramedics.ResultsWe included 274 patients. The mean difference in NIHSS scores between the paramedics and the stroke physicians was 0.92 with limits of agreement from -5.74 to 7.59. Interrater agreement for the 2 clinical categories was moderate with a κ of 0.58. The prehospital NIHSS scoring was performed mean (SD) 42 (14) minutes earlier than the in-hospital scoring. Prehospital time was not significantly increased in the NIHSS-trained paramedic group compared with conventional paramedics (median [interquartile range] on-scene-time 18 [13-25] minutes versus 16 [11-23] minutes, P=0.064 and onset-to-hospital time 86 [65-128] minutes versus 84 [56-140] minutes, P=0.535).ConclusionsParamedics can use NIHSS as an accurate and time efficient prehospital stroke severity quantification tool. Introducing NIHSS in the emergency medical services will enable prehospital evaluation of stroke progression and provide a common language for stroke assessment between paramedics and stroke physicians.RegistrationURL: https://www.Clinicaltrialsgov; Unique identifier: NCT03158259.

Project description:ImportanceComparative assessment of acute ischemic stroke care quality provided by hospitals in the United States has been hampered by the unavailability of the National Institutes of Health Stroke Scale (NIHSS) in administrative data sets, preventing adequate adjustment for variations in patient case-mix risk. In response to stakeholder concerns, the US Centers for Medicare & Medicaid Services in 2016 implemented optional reporting of NIHSS scores.ObjectiveTo analyze the distributional, convergent, and predictive validity of nationally submitted NIHSS values in the National Inpatient Sample.Design, setting, and participantsThis population-based retrospective cross-sectional study took place from October 1 to December 31, 2016. The nationally representative sample included US adults who had ischemic stroke hospitalizations during the first calendar quarter in which optional NIHSS reporting was implemented. Analysis began September 2019.Main outcomes and measuresDistribution of NIHSS scores, functional independence at discharge, inpatient mortality, and administrative reporting of NIHSS.ResultsAmong 154 165 ischemic stroke hospitalizations during the first 3 months of the reporting policy, NIHSS scores were reported in 21 685 patients (14%) (10 925 women [50.4%]; median [interquartile range] age, 72 [61-82] years). Median (interquartile range) NIHSS score was 4 (2-11), and frequency of severity categories included absent (NIHSS score, 0) in 2080 patients (9.6%), minor (NIHSS score, 1-4) in 8760 patients (40.4%), and severe (NIHSS score, 21-42) in 1930 patients (8.9%). National Institutes of Health Stroke Scale score of 10 or more, an indicator of possible large vessel occlusions, was present in 6290 patients (29%). Presenting NIHSS score was higher in very elderly patients (age ≥80 y) and women and also in patients receiving endovascular thrombectomy vs intravenous thrombolysis alone vs no reperfusion therapy (median [interquartile range], 17 [12-22] vs 6 [4-12] vs 4 [2-9], respectively) (P < .001). National Institutes of Health Stroke Scale scores were similarly higher for discharge outcomes of mortality vs discharge to skilled nursing facility vs discharge home (median [interquartile range], 19 [12-25] vs 7 [3-15] vs 2 [1-5], respectively) (P < .001). Likelihood of NIHSS scores being reported independently increased with interfacility transfer, receipt of acute reperfusion therapies, larger hospital size, academic centers, and region other than the West.Conclusions and relevanceIn the initial national optional reporting period in the United States, NIHSS scores were reported in nearly 1 in 7 ischemic stroke hospitalizations. The distribution of NIHSS scores was similar to that from narrow population-based studies and registries, and NIHSS scores were powerfully associated with discharge outcome, supporting the validity and potential to aid care quality assessment.

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Profiles of the National Institutes of Health Stroke Scale items as a predictor of patient outcome.

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Profiles of the National Institutes of Health Stroke Scale items as a predictor of patient outcome.

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