Under-recognized post-stroke acute kidney injury: risk factors and relevance for stroke outcome of a frequent comorbidity.


Journal

International urology and nephrology
ISSN: 1573-2584
Titre abrégé: Int Urol Nephrol
Pays: Netherlands
ID NLM: 0262521

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 17 12 2018
accepted: 12 06 2019
pubmed: 30 6 2019
medline: 28 2 2020
entrez: 29 6 2019
Statut: ppublish

Résumé

Acute kidney injury (AKI) is emerging as a predictor of poor stroke outcome, however, it is often not recognized. The aim of our study was to evaluate post-stroke AKI burden, AKI risk factors and their influence in post-stroke outcome. From 2013 to 2016, 440 individuals with stroke diagnosis admitted in Stroke Unit, Foundation IRCCS Policlinico San Matteo (Pavia, Italy), were retrospectively enrolled. AKI cases identified by KDIGO criteria through the electronic database and hospital chart review were compared with the ones reported in discharge letters or in administrative hospital data base. Mortality data were provided by Agenzia Tutela della Salute of Pavia. We included 430 patients in the analysis. Median follow-up was 19.2 months. We identified 79 AKI cases (18% of the enrolled patients, 92% classified as AKI stage 1), a fivefold higher number of cases than the ones reported at discharge. 37 patients had AKI at the admission in the hospital, while 42 developed AKI during the hospitalization. Cardioembolic (p = 0.01) and hemorrhagic (p = 0.01) stroke types were associated with higher AKI risk. Admission National Institutes of Health Stroke Scale (NIHSS, p < 0.05) and Charlson Comorbidity Index (p < 0.01) were independently associated with overall AKI, while admission NIHSS (p < 0.05) and eGFR (p < 0.005) were independently associated with AKI developed during the hospitalization. AKI was associated to longer in-hospital stay (p = 0.01), worse Rankin Neurologic Disability Score at discharge (p < 0.0001) and discharge disposition other than home (p = 0.03). AKI was also independently associated to higher in-hospital mortality (OR 3.9 95% CI 1.2-12.9 p = 0.023) but not with long-term survival. Post-stroke AKI diagnosis needs to be improved by strictly monitoring individuals with cardioembolic or hemorrhagic stroke, reduced kidney function, higher Charlson Comorbidity Index and worse NIHSS at presentation.

Sections du résumé

BACKGROUND BACKGROUND
Acute kidney injury (AKI) is emerging as a predictor of poor stroke outcome, however, it is often not recognized. The aim of our study was to evaluate post-stroke AKI burden, AKI risk factors and their influence in post-stroke outcome.
METHODS METHODS
From 2013 to 2016, 440 individuals with stroke diagnosis admitted in Stroke Unit, Foundation IRCCS Policlinico San Matteo (Pavia, Italy), were retrospectively enrolled. AKI cases identified by KDIGO criteria through the electronic database and hospital chart review were compared with the ones reported in discharge letters or in administrative hospital data base. Mortality data were provided by Agenzia Tutela della Salute of Pavia.
RESULTS RESULTS
We included 430 patients in the analysis. Median follow-up was 19.2 months. We identified 79 AKI cases (18% of the enrolled patients, 92% classified as AKI stage 1), a fivefold higher number of cases than the ones reported at discharge. 37 patients had AKI at the admission in the hospital, while 42 developed AKI during the hospitalization. Cardioembolic (p = 0.01) and hemorrhagic (p = 0.01) stroke types were associated with higher AKI risk. Admission National Institutes of Health Stroke Scale (NIHSS, p < 0.05) and Charlson Comorbidity Index (p < 0.01) were independently associated with overall AKI, while admission NIHSS (p < 0.05) and eGFR (p < 0.005) were independently associated with AKI developed during the hospitalization. AKI was associated to longer in-hospital stay (p = 0.01), worse Rankin Neurologic Disability Score at discharge (p < 0.0001) and discharge disposition other than home (p = 0.03). AKI was also independently associated to higher in-hospital mortality (OR 3.9 95% CI 1.2-12.9 p = 0.023) but not with long-term survival.
CONCLUSIONS CONCLUSIONS
Post-stroke AKI diagnosis needs to be improved by strictly monitoring individuals with cardioembolic or hemorrhagic stroke, reduced kidney function, higher Charlson Comorbidity Index and worse NIHSS at presentation.

Identifiants

pubmed: 31250340
doi: 10.1007/s11255-019-02203-4
pii: 10.1007/s11255-019-02203-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1597-1604

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Auteurs

Fabrizio Grosjean (F)

Unit of Nephrology, Dialysis, Transplantation, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy. f.grosjean@smatteo.pv.it.

Michela Tonani (M)

Unit of Cardiac and Cerebrovascular Disease-General Medicine 2, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Pavia, Italy.

Rosario Maccarrone (R)

Unit of Nephrology, Dialysis, Transplantation, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy.

Carlo Cerra (C)

Unit of Informative System and Management Control, ASST of Pavia, Pavia, Italy.

Federica Spaltini (F)

School of Medicine, University of Pavia, Pavia, Italy.

Annalisa De Silvestri (A)

Service of Clinical Epidemiology and Biometry, Foundation I.R.C.C.S. Policlinico San Matteo, Pavia, Italy.

Francesco Falaschi (F)

General Medicine 2, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Pavia, Italy.

Simona Migliazza (S)

Unit of Informative System and Management Control, ASST of Pavia, Pavia, Italy.

Carmine Tinelli (C)

Service of Clinical Epidemiology and Biometry, Foundation I.R.C.C.S. Policlinico San Matteo, Pavia, Italy.

Teresa Rampino (T)

Unit of Nephrology, Dialysis, Transplantation, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Viale Golgi 19, 27100, Pavia, Italy.

Antonio Di Sabatino (A)

General Medicine 2, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Pavia, Italy.

Alessandra Martignoni (A)

Unit of Cardiac and Cerebrovascular Disease-General Medicine 2, Foundation I.R.C.C.S. Policlinico San Matteo, University of Pavia, Pavia, Italy.

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