Evidence map›Paper›PMID 28034963›Full record

ArticleStroke2017

Renal Dysfunction Is Associated With Poststroke Discharge Disposition and In-Hospital Mortality: Findings From Get With The Guidelines-Stroke.

Nada El Husseini, Gregg C Fonarow, Eric E Smith, Christine Ju, Lee H Schwamm, Adrian F Hernandez, Phillip J Schulte, Ying Xian, Larry B Goldstein

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
  5. Trial
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  9. Article
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  12. Associations between admission levels of multiple biomarkers and subsequent worse outcomes in acute ischemic stroke patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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  13. Review
  14. Observational
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  20. Impact of multimorbidity on risk and outcome of stroke: Lessons from chronic kidney disease.International journal of stroke : official journal of the International Stroke Society · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nada El HusseiniFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.). nelhusse@wakehealth.edu.
Gregg C FonarowFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Eric E SmithFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Christine JuFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Lee H SchwammFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Adrian F HernandezFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Phillip J SchulteFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Ying XianFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).
Larry B GoldsteinFrom the Department of Neurology, Wake Forest Baptist University Health Sciences, Winston-Salem, NC (N.E.H.); Duke Clinical Research Institute (C.J., A.F.H., P.J.S., Y.X.) and Department of Neurology (N.E.H., Y.X.), Duke University Medical Center, Durham, NC; UCLA Division of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, CA (G.C.F.); Hotchkiss Brain Institute, University of Calgary, AB, Canada (E.E.S.); Massachusetts General Hospital, Boston (L.H.S.); and Department of Neurology, University of Kentucky, Lexington (L.B.G.).

Funding

Renal Genomics CoreP30DK096493 · NIDDK · DUKE UNIVERSITY · PI WINN, MICHELLE P. · 2012 to 2016
$5.9M
NIDDK NIH HHS P30 DK096493
6 · The paper itself

Abstract

background and purposeKidney disease is a frequent comorbidity in patients presenting with acute ischemic stroke. We evaluated whether the estimated glomerular filtration rate (eGFR) on admission is associated with poststroke in-hospital mortality or discharge disposition.

methodsIn this cohort study, data from ischemic stroke patients in Get With The Guidelines-Stroke linked to fee-for-service Medicare data were analyzed. The Modification of Diet in Renal Disease study equation was used to calculate the eGFR (mL/min/1.73 m

resultsOf 232 236 patients, 47.3% had an eGFR ≥60, 26.6% an eGFR 45 to 59, 16.8% an eGFR 30 to 44, 5.6% an eGFR 15 to 29, 0.7% an eGFR<15 without dialysis, and 2.8% were receiving dialysis. Of the total cohort, 11.8% died during the hospitalization or were discharged to hospice, and 38.6% were discharged home. After adjusting for other relevant variables, renal dysfunction was independently associated with an increased risk of in-hospital mortality that was highest among those with eGFR <15 without dialysis (odds ratio, 2.52; 95% confidence interval, 2.07-3.07). An eGFR 15 to 29 (odds ratio, 0.82; 95% confidence interval, 0.78-0.87), eGFR <15 (odds ratio, 0.72; 95% confidence interval, 0.61-0.86), and dialysis (odds ratio, 0.86; 95% confidence interval, 0.79-0.94) remained associated with lower odds of being discharged home. In addition, the associations of several clinical and demographic factors with outcomes varied by eGFR level.

conclusionseGFR on admission is an important predictor of poststroke short-term outcomes.

Indexed as

Hospital MortalityAgedAged, 80 and overAmerican Heart AssociationCohort StudiesFemaleGlomerular Filtration RateHumansKidney DiseasesMaleMedicaidMedicarePatient DischargePractice Guidelines as TopicRisk FactorsStrokeacute kidney injuryglomerular filtration ratekidney diseaseMedicareoutcomesstroke

Identifiers

PMID28034963
PMCPMC5268130

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.