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Sandeep Kumar,
Susan Langmore,
Richard P Goddeau,
Adel Alhazzani,
Magdy Selim,
Louis R Caplan,
Lin Zhu, Adnan Safdar,
Cynthia Wagner,
Colleen Frayne,
David E Searls,
Gottfried Schlaug
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ABSTRACT: This study investigated the influence of age, National Institutes of Health Stroke Scale (NIHSS) score, time from stroke onset, infarct location and volume in predicting placement of a percutaneous endoscopic gastrostomy (PEG) tube in patients with severe dysphagia from an acute-subacute hemispheric infarction. We performed a retrospective analysis of a hospital-based patient cohort to analyze the effect of the aforementioned variables on the decision of whether or not to place a PEG tube. Consecutive patients were identified using International Classification of Diseases, Ninth Revision (ICD-9) codes for acute ischemic stroke, Current Procedural Terminology (CPT)-4 codes for a formal swallowing evaluation by a speech pathologist, and procedure codes for PEG placement over a 5-year period from existing medical records at our institution. Only patients with severe dysphagia were enrolled. A total of 77 patients met inclusion criteria; 20 of them underwent PEG placement. The relationship between age (dichotomized; < and ≥75 years), time from stroke onset (days), NIHSS score, acute infarct lesion volume (dichotomized; < and ≥100 cc), and infarct location (ie, insula, anterior insula, periventricular white matter, inferior frontal gyrus, motor cortex, or bilateral hemispheres) with PEG tube placement were analyzed using logistic regression analysis. In univariate analysis, NIHSS score (P = .005), lesion volume (P = .022), and presence of bihemispheric infarction (P = .005) were found to be the main predictors of interest. After multivariate adjustment, only NIHSS score (odds ratio [OR], 1.15; 90% confidence interval [CI], 1.02-1.29; P = .04) and presence of bihemispheric infarcts (OR, 4.67; 90% CI, 1.58-13.75; P = .018) remained significant. Our data indicates that baseline NIHSS score and the presence of bihemispheric infarcts predict PEG placement during hospitalization from an acute-subacute hemispheric infarction in patients with severe dysphagia. These results require further validation in future studies.
Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association 02/2012; 21(2):114-20.
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ABSTRACT: The ABCD(2) score is increasingly being used to triage patients with transient ischemic attack (TIA). Whether the score can predict the need for in-hospital intervention (IHI), other than initiation of antiplatelets and statins, is unknown.
The ability of the ABCD(2) score to predict IHI would strengthen the rationale to use it as a decision-making tool. We thus conducted this study to investigate the relationship between the ABCD(2) score and IHI.
We analyzed prospectively collected data from consecutive TIA patients over 12 months. We determined ABCD(2) upon admission and collected the results of in-hospital evaluation, treatments initiated during hospitalization, and follow-up status. We defined IHI as arterial revascularization or anticoagulation required during admission. We used chi-square for trend to examine the association between ABCD(2) and IHI.
We studied 121 patients. Fourteen (12%) had small infarcts on diffusion magnetic resonance imaging; 38 (31%) had a new risk factor recognized during admission [hyperlipidemia (n = 9), hypertension (1), diabetes (1), carotid stenosis >/= 50% (16), other arterial occlusive lesions (7), and potential cardioembolic source (4)]. Their percentages increased with higher ABCD(2) scores. However, among 12 patients (10%) with IHI, ABCD(2) score categories were equally distributed (10% in 0-3, 9% in 4-5, and 10% in 6-7; p = 0.8). One patient (0.8%) worsened during hospitalization; none had a stroke during follow-up.
Patients with an ABCD(2) score </= 3 had an equal chance of requiring IHI as those with a score of 4-7. The decision to admit TIA patients based on the ABCD(2) score alone is not supported by our experience and requires further study.
International Journal of Emergency Medicine 01/2010; 3(2):75-80.
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Archives of neurology 11/2008; 65(10):1386-7. · 6.31 Impact Factor
