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Nash PS, Fandler-Höfler S, Ambler G, Zhang W, Ozkan H, Locatelli M, Du Y, Obergottsberger L, Wünsch G, Jäger HR, Enzinger C, Wheeler DC, Simister RJ, Gattringer T, Werring DJ. Associations of Cerebral Small Vessel Disease and Chronic Kidney Disease in Patients With Acute Intracerebral Hemorrhage: A Cross-Sectional Study. Neurology 2024; 103:e209540. [PMID: 38889380 DOI: 10.1212/wnl.0000000000209540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Chronic kidney disease (CKD) may be associated with the pathogenesis and phenotype of cerebral small vessel disease (SVD), which is the commonest cause of intracerebral hemorrhage (ICH). The purpose of this study was to investigate the associations of CKD with ICH neuroimaging phenotype, volume, and location, total burden of small vessel disease, and its individual components. METHODS In 2 cohorts of consecutive patients with ICH evaluated with MRI, we investigated the frequency and severity of CKD based on established Kidney Disease Improving Global Outcomes criteria, requiring estimated glomerular filtration rate (eGFR) measurements <60 mL/min/1.732 ≥ 3 months apart to define CKD. MRI scans were rated for ICH neuroimaging phenotype (arteriolosclerosis, cerebral amyloid angiopathy, mixed location SVD, or cryptogenic ICH) and the presence of markers of SVD (white matter hyperintensities [WMHs], cerebral microbleeds [CMBs], lacunes, and enlarged perivascular spaces, defined according to the STandards for ReportIng Vascular changes on nEuroimaging criteria). We used multinomial, binomial logistic, and ordinal logistic regression models adjusted for age, sex, hypertension, and diabetes to account for possible confounding caused by shared risk factors of CKD and SVD. RESULTS Of 875 patients (mean age 66 years, 42% female), 146 (16.7%) had CKD. After adjusting for age, sex, and comorbidities, patients with CKD had higher rates of mixed SVD than those with eGFR >60 (relative risk ratio 2.39, 95% CI 1.16-4.94, p = 0.019). Severe WMHs, deep microbleeds, and lacunes were more frequent in patients with CKD, as was a higher overall SVD burden score (odds ratio 1.83 for each point on the ordinal scale, 95% CI 1.31-2.56, p < 0.001). Patients with eGFR ≤30 had more CMBs (median 7 [interquartile range 1-23] vs 2 [0-8] for those with eGFR >30, p = 0.007). DISCUSSION In patients with ICH, CKD was associated with SVD burden, a mixed SVD phenotype, and markers of arteriolosclerosis. Our findings indicate that CKD might independently contribute to the pathogenesis of arteriolosclerosis and mixed SVD, although we could not definitively account for the severity of shared risk factors. Longitudinal and experimental studies are, therefore, needed to investigate causal associations. Nevertheless, stroke clinicians should be aware of CKD as a potentially independent and modifiable risk factor of SVD.
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Affiliation(s)
- Philip S Nash
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Simon Fandler-Höfler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Gareth Ambler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Wenpeng Zhang
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Hatice Ozkan
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Martina Locatelli
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Yang Du
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Lena Obergottsberger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Gerit Wünsch
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Hans Rolf Jäger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Christian Enzinger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - David C Wheeler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Robert J Simister
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Thomas Gattringer
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - David J Werring
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
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Heinze M, Schell M, Nägele FL, Cheng B, Flottmann F, Fiehler J, Schmidt-Lauber C, Thomalla G. Kidney dysfunction predicts 90 days mortality after stroke thrombectomy independent of cardiovascular risk factors and chronic kidney disease. Eur Stroke J 2024; 9:424-431. [PMID: 38193319 DOI: 10.1177/23969873231224200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024] Open
Abstract
INTRODUCTION Kidney dysfunction (KD) is a risk factor for cerebrovascular events and has been shown to have a detrimental effect on outcome after stroke. We evaluated the influence of KD at admission and pre-existing diagnosis of chronic kidney disease (CKD) before thrombectomy for anterior circulation stroke on functional independence and mortality 90 days after stroke in this cross-sectional study. PATIENTS AND METHODS We included patients with acute ischemic stroke in the anterior circulation treated with thrombectomy at our hospital between June 2015 and May 2022. We analyzed clinical characteristics, laboratory values and pre-existing diagnosis of CKD. KD at admission was defined as glomerular filtration rate (GFR) <60 ml/min/1.73 m2. Outcomes were defined as a modified Rankin Scale Score of 0-2 for functional independence and mortality at 90 days. We fitted multivariate regression analysis to examine the influence of pre-treatment KD and pre-diagnosed CKD on outcome. RESULTS Nine hundred fifty-three patients were included in this analysis (mean age 73.8 years, 54.2% female). KD was present in 31.8%, and patients with KD were older and more often female, presented more often with comorbidities such as arterial hypertension, diabetes, and atrial fibrillation, and were less often independent before the index stroke. In multivariate analysis adjusted for age, independence before the index stroke, diabetes, hypertension, atrial fibrillation, initial NIHSS, thrombolysis treatment, and recanalization outcome, KD on admission had no significant influence on functional independence 90 days after stroke, but predicted mortality with an odds ratio of 1.80 (95% CI 1.23-2.63, p = 0.003). This influence also persisted when controlling for pre-diagnosed CKD (OR 1.60, 95% CI 1.05-2.43, p = 0.027). DISCUSSION KD might function as a surrogate parameter for comorbidity burden and thus increased risk of mortality in this cohort. CONCLUSIONS KD on admission is associated with an 80% higher risk of mortality at 90 days after stroke thrombectomy independent of cardiovascular risk factors and CKD awareness. KD on admission should not exclude patients from thrombectomy but might support prognostic evaluation.
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Affiliation(s)
- Marlene Heinze
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Felix Leonard Nägele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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DE Rubeis G, Zilahi DE Gyurgyokai S, Fabiano S, Bertaccini L, Wlderk A, Pezzella FR, Anticoli S, Biondi-Zoccai G, Versaci F, Saba L, Pampana E. Intraprocedural continuous saline infusion lines significantly reduce the incidence of acute kidney injury during endovascular procedures for stroke and myocardial infarction: evidence from a systematic review and meta-regression. Minerva Med 2024; 115:151-161. [PMID: 38563606 DOI: 10.23736/s0026-4806.23.09093-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND Contrast media used in mechanical therapies for stroke and myocardial infarction represent a significant cause of acute kidney injury (AKI) in acute medical scenarios. Although the continuous saline infusion line (CSIL) is a standard procedure to prevent thrombus formation within the catheter during neurovascular interventions of mechanical thrombectomy (MT), it is not utilized in percutaneous coronary interventions (PCI). METHODS A systematic review of the incidence of AKI after MT for stroke treatment was performed. These data were compared with those reported in the literature regarding the incidence of AKI after PCI for acute myocardial infarction. A random-effect model meta-regression was performed to explore the effects of CSIL on AKI incidence, using clinical details as covariates. RESULTS A total of 18 and 33 studies on MT and PCI were included, respectively, with 69,464 patients (30,138 [43.4%] for MT and 39,326 [56.6%] for PCI). The mean age was 63.6 years±5.8 with male 66.6%±12.8. Chronic kidney disease ranged 2.0-50.3%. Diabetes prevalence spanned 11.1% to 53.0%. Smoking status had a prevalence of 7.5-72.0%. Incidence of AKI proved highly variable (I2=98%, Cochrane's Q 2985), and appeared significantly lower in the MT subgroup than in the PCI subgroups (respectively 8.3% [95% confidence interval: 4.7-11.9%] vs. 14.7 [12.6-16.8%], P<0.05). Meta-regression showed that CSIL was significantly associated with a decreased incidence of AKI (OR=0.93 [1.001-1.16]; P=0.03). CONCLUSIONS Implementation of CSIL during endovascular procedures in acute settings was associated with a significant decrease in the risk of AKI, and its safety should be routinely considered in such interventions.
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Affiliation(s)
- Gianluca DE Rubeis
- Unit of Diagnostic and Interventional Neuroradiology, Department of Diagnostic, San Camillo-Forlanini Hospital, Rome, Italy -
| | | | - Sebastiano Fabiano
- Unit of Diagnostic and Interventional Neuroradiology, Department of Diagnostic, San Camillo-Forlanini Hospital, Rome, Italy
| | - Luca Bertaccini
- Unit of Diagnostic and Interventional Neuroradiology, Department of Diagnostic, San Camillo-Forlanini Hospital, Rome, Italy
| | - Andrea Wlderk
- Unit of Diagnostic and Interventional Neuroradiology, Department of Diagnostic, San Camillo-Forlanini Hospital, Rome, Italy
| | - Francesca R Pezzella
- UOSD Stroke Unit, Emergency Department, S. Camillo-Forlanini Hospital, Rome, Italy
| | - Sabrina Anticoli
- UOSD Stroke Unit, Emergency Department, S. Camillo-Forlanini Hospital, Rome, Italy
| | - Giuseppe Biondi-Zoccai
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University, Latina, Italy
- Mediterranea Cardiocentro, Naples, Italy
| | - Francesco Versaci
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University, Latina, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.) di Cagliari, Monserrato, Cagliari, Italy
| | - Enrico Pampana
- Unit of Diagnostic and Interventional Neuroradiology, Department of Diagnostic, San Camillo-Forlanini Hospital, Rome, Italy
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Bobot M, Hak JF, Casolla B, Dehondt JD, Burtey S, Doche E, Suissa L. Acute and Chronic Kidney Dysfunction and Prognosis following Thrombectomy for Ischemic Stroke. Am J Nephrol 2024; 55:287-297. [PMID: 38499002 DOI: 10.1159/000536493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 01/10/2024] [Indexed: 03/20/2024]
Abstract
INTRODUCTION Patients with chronic kidney disease (CKD) have an increased risk of stroke, and CKD seems associated with worse outcome after a stroke. The main objective of our study RISOTTO was to evaluate the influence of CKD and acute kidney injury (AKI) on the clinical outcome and mortality of ischemic stroke patients after thrombolysis and/or thrombectomy. METHODS This multicenter cohort study included patients in the acute phase of ischemic stroke due to large artery occlusion managed by thrombectomy. Functional outcome at 3 months was assessed by the modified Rankin Scale (mRS). RESULTS 280 patients were included in the analysis. Fifty-nine patients (22.6%) had CKD. At 3 months, CKD was associated with similar functional prognosis (mRS 3-6: 50.0% vs. 41.7%, p = 0.262) but higher mortality (24.2% versus 9.5%, p = 0.004). In univariate analysis, patients with CKD had a higher burden of white matter hyperintensities (Fazekas score: 1.7 ± 0.8 vs. 1.0 ± 0.8, p = 0.002), lower initial infarct volume with equivalent severity, and lower recanalization success (86.4% vs. 97.0%, p = 0.008) compared to non-CKD patients. Forty-seven patients (20.0%) developed AKI. AKI was associated with poorer 3-month functional outcome (mRS 3-6: 63.8% vs. 49.0%, p = 0.002) and mortality (23.4% versus 7.7%, p = 0.002). In multivariate analysis, AKI appeared as an independent risk factor for poor functional outcome (mRS 3-6: adjOR 2.79 [1.11-7.02], p = 0.029) and mortality (adjOR 2.52 [1.03-6.18], p = 0.043) at 3 months, while CKD was not independently associated with 3-month mortality and poor neurological outcome. CONCLUSIONS AKI is independently associated with poorer functional outcome and increased mortality at 3 months. CKD was not an independent risk factor for 3-month mortality or poor functional prognosis.
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Affiliation(s)
- Mickaël Bobot
- Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, AP-HM, Marseille, France
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- CERIMED, Aix Marseille Univ, Marseille, France
| | - Jean-François Hak
- CERIMED, Aix Marseille Univ, Marseille, France
- Neuroradiology Department, CHU Timone, AP-HM, Marseille, France
- LIIE, CERIMED, Aix-Marseille Université, Marseille, France
| | - Barbara Casolla
- Stroke Unit, UR2CA-URRIS Neurology, Nice Cote d'Azur University, Nice, France
| | | | - Stéphane Burtey
- Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, AP-HM, Marseille, France
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Emilie Doche
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- Stroke Center, Hôpital de la Timone, AP-HM, Marseille, France
| | - Laurent Suissa
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
- Stroke Center, Hôpital de la Timone, AP-HM, Marseille, France
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Wrona P, Sawczyńska K, Wróbel D, Zdrojewska K, Giełczyński M, Mizera P, Brzegowy P, Popiela T, Słowik A, Krzanowski M. Risk factors of acute kidney injury during hospitalization in acute ischaemic stroke patients undergoing mechanical thrombectomy. ADVANCES IN INTERVENTIONAL CARDIOLOGY 2024; 20:89-94. [PMID: 38616933 PMCID: PMC11008514 DOI: 10.5114/aic.2024.136374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 12/27/2023] [Indexed: 04/16/2024] Open
Abstract
Introduction Acute kidney injury (AKI) seems to worsen the prognosis of acute ischaemic stroke (AIS) patients treated with mechanical thrombectomy (MT). At the same time, the procedure of MT increases AKI risk by iodinated contrast use. Identification of factors predisposing to AKI after MT is important for recognizing vulnerable patients and successful prevention. Aim To identify factors associated with the occurrence of AKI during hospitalization in MT-treated AIS patients. Material and methods The study included all AIS patients treated with MT in the University Hospital in Krakow from 2019 to 2021. The diagnosis of AKI during hospitalisation was based on serum creatinine concentration levels, according to the Kidney Disease Improving Global Outcomes guidelines. We compared patients with and without AKI in terms of age, sex, comorbidities, stroke course and laboratory test results at admission. We identified factors associated with the occurrence of AKI using univariate logistic regression analysis, with significant variables subsequently added to the multivariate analyses. Results Among 593 MT-treated AIS patients the incidence of AKI during hospitalisation was 12.6%. AKI development was associated with diabetes, chronic kidney disease, total volume of iodinated contrast obtained during hospitalisation, posterior circulation stroke, lack of intravenous thrombolysis, and laboratory test results at admission: haemoglobin, glucose, urea, potassium, and creatinine. Total contrast volume and urea level were the most important independent risk factors associated with occurrence of AKI. Conclusions AKI is common in MT-treated AIS patients. There is a need to establish a protocol for decreasing the risk of AKI in AIS patients undergoing MT and, in case it occurs, a procedure for its treatment.
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Affiliation(s)
- Paweł Wrona
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Katarzyna Sawczyńska
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Dominik Wróbel
- Student Scientific Group in Cerebrovascular Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Kaja Zdrojewska
- Student Scientific Group in Cerebrovascular Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Mateusz Giełczyński
- Student Scientific Group in Cerebrovascular Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Paweł Mizera
- Student Scientific Group in Cerebrovascular Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Paweł Brzegowy
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | - Tadeusz Popiela
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Słowik
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Marcin Krzanowski
- Department of Nephrology and Dialysis, Jagiellonian University Medical College, Krakow, Poland
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Che F, Wang A, Ju Y, Liu L, Ma N, Cheng Z, Duan H, Zhao X, Geng X. Prevalence and Impact of Medical Complications on Clinical Outcomes in Acute Ischemic Stroke Patients After Endovascular Therapy - Data From a Comprehensive Stroke Unit in China. World Neurosurg 2024; 182:e386-e399. [PMID: 38030069 DOI: 10.1016/j.wneu.2023.11.113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVE We aim to assess the incidence and impact of in-hospital medical complications (MCs) on clinical outcomes in acute ischemic stroke (AIS) patients after endovascular therapy (EVT). METHODS AIS patients who underwent EVT were consecutively recruited from January 2019 to July 2022. The primary outcome was a poor 3-month functional outcome, defined as a modified Rankin Scale score (mRS) of 3-6. The safety variables were symptomatic intracerebral hemorrhage and mortality at 7 and 30 days. RESULTS A total of 306 (50.1%) patients experienced at least one of the MCs. The most common MC was pneumonia (42.6%). Multivariate analysis revealed that the setting of MCs was an independent predictor of a poor 3-month functional outcome (adjusted odds ratio [aOR] 4.40, 95% confidence interval [CI] 3.01-6.42; P < 0.001). In the subgroup analysis, this trend was significant, especially in the patients aged 60-75 years (aOR 5.87, 95% CI 3.45-9.97; P < 0.001) or with baseline NIHSS (≤16) (aOR 5.05, 95% CI 2.84-9.01; P < 0.001). For individuals, cardiac events (aOR 8.56, 95% CI 4.05-18.09; P < 0.001), pneumonia (aOR 5.08, 95% CI 3.42-7.55; P < 0.001), and gastrointestinal bleeding (GIB) (aOR 6.12, 95% CI 3.40-11.01; P < 0.001) were independently associated with the poor 3-month outcome. The setting of MCs was independently associated with symptomatic intracerebral hemorrhage (aOR 2.11, 95% CI 1.22-3.64; P = 0.007) and mortality at 30 days (aOR 2.11, 95% CI 1.22-3.64; P = 0.007) after adjustment, but not with mortality at 7 days. CONCLUSIONS MCs in AIS patients after EVT have a high incidence, despite successful reperfusion, adversely affecting clinical outcomes and increasing short-term mortality.
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Affiliation(s)
- Fengli Che
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Anxin Wang
- Tiantan Neuroimaging Center for Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Ju
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ning Ma
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhe Cheng
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Honglian Duan
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Xingquan Zhao
- Tiantan Neuroimaging Center for Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaokun Geng
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
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7
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Rajesh K, Spring KJ, Beran RG, Bhaskar SMM. Chronic kidney disease prevalence and clinical outcomes in anterior circulation acute ischemic stroke patients with reperfusion therapy: A meta-analysis. Nephrology (Carlton) 2024; 29:21-33. [PMID: 37964507 DOI: 10.1111/nep.14251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/27/2023] [Accepted: 10/23/2023] [Indexed: 11/16/2023]
Abstract
AIM Chronic Kidney Disease (CKD) is a common comorbidity among acute ischaemic stroke (AIS) patients undergoing reperfusion therapies, including intravenous thrombolysis (IVT) and endovascular thrombectomy (EVT). Acknowledging CKD's prevalence in this cohort and understanding its influence on outcomes is crucial for prognosis and optimizing care. This study aims to determine the prevalence of CKD among anterior circulation AIS (acAIS) patients undergoing reperfusion therapies and to analyse the role of CKD in mediating outcomes. METHODS A random-effects meta-analysis was conducted to pool and examine prevalence data. A total of 263 633 patients were included in the meta-analysis. The study assessed CKD's association with functional outcomes, symptomatic intracranial haemorrhage (sICH) and mortality. RESULTS The overall pooled prevalence of CKD among acAIS ranged from 30% to 56% in IVT-treated patients and 16%-42% for EVT-treated patients. CKD was associated with increased odds of unfavourable functional outcome at 90 days in both IVT (OR 1.837; 95% CI: [1.599; 2.110]; p < .001) and EVT (OR 1.804; 95% CI: [1.525; 2.133]; p < .001) groups. In IVT-treated patients, CKD was associated with increased odds of 30-day mortality (OR 6.211; 95% CI: [1.105; 34.909]; p = .038). CKD in IVT-treated patients exhibited increased odds of sICH, albeit statistically non-significant (OR 1.595; 95% CI: [0.567; 3.275]). CONCLUSIONS The high prevalence of CKD and its significant impact on outcomes in acAIS patients treated with reperfusion therapies underscore its clinical significance. This insight can guide personalised care strategies and potentially improve the prognosis in the management of acAIS.
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Affiliation(s)
- Kruthajn Rajesh
- Global Health Neurology Lab, Sydney, New South Wales, Australia
- UNSW Medicine and Health, University of New South Wales (UNSW), South West Sydney Clinical Campuses, Sydney, New South Wales, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, New South Wales, Australia
| | - Kevin J Spring
- UNSW Medicine and Health, University of New South Wales (UNSW), South West Sydney Clinical Campuses, Sydney, New South Wales, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, New South Wales, Australia
- NSW Brain Clot Bank, NSW Health Pathology, Sydney, New South Wales, Australia
- Medical Oncology Group, Liverpool Clinical School, Ingham Institute for Applied Medical Research and Western Sydney University (WSU), Sydney, New South Wales, Australia
- School of Medicine, Western Sydney University, Sydney, New South Wales, Australia
| | - Roy G Beran
- Global Health Neurology Lab, Sydney, New South Wales, Australia
- UNSW Medicine and Health, University of New South Wales (UNSW), South West Sydney Clinical Campuses, Sydney, New South Wales, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, New South Wales, Australia
- NSW Brain Clot Bank, NSW Health Pathology, Sydney, New South Wales, Australia
- Griffith Health, School of Medicine and Dentistry, Griffith University, Southport, Queensland, Australia
- Department of Neurology and Neurophysiology, Liverpool Hospital and South Western Sydney Local Health District (SWSLHD), Sydney, New South Wales, Australia
| | - Sonu M M Bhaskar
- Global Health Neurology Lab, Sydney, New South Wales, Australia
- Neurovascular Imaging Laboratory, Ingham Institute for Applied Medical Research, Clinical Sciences Stream, Sydney, New South Wales, Australia
- NSW Brain Clot Bank, NSW Health Pathology, Sydney, New South Wales, Australia
- Department of Neurology and Neurophysiology, Liverpool Hospital and South Western Sydney Local Health District (SWSLHD), Sydney, New South Wales, Australia
- Department of Neurology, National Cerebral and Cardiovascular Centre (NCVC), Suita, Osaka, Japan
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8
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Fandler-Höfler S, Mikšová D, Deutschmann H, Kneihsl M, Mutzenbach S, Killer-Oberpfalzer M, Gizewski ER, Knoflach M, Kiechl S, Sonnberger M, Vosko MR, Weber J, Hausegger KA, Serles W, Werner P, Staykov D, Sykora M, Lang W, Ferrari J, Enzinger C, Gattringer T. Endovascular stroke therapy outside core working hours in a nationwide stroke system. J Neurointerv Surg 2023; 15:e402-e408. [PMID: 36813552 DOI: 10.1136/jnis-2022-020044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 02/10/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Endovascular therapy (EVT) has been established as a major component in the acute treatment of large vessel occlusion stroke. However, it is unclear whether outcome and other treatment-related factors differ if patients are treated within or outside core working hours. METHODS We analyzed data from the prospective nationwide Austrian Stroke Unit Registry capturing all consecutive stroke patients treated with EVT between 2016 and 2020. Patients were trichotomized according to the time of groin puncture into treatment within regular working hours (08:00-13:59), afternoon/evening (14:00-21:59) and night-time (22:00-07:59). Additionally, we analyzed 12 EVT treatment windows with equal patient numbers. Main outcome variables included favorable outcome (modified Rankin Scale scores of 0-2) 3 months post-stroke as well as procedural time metrics, recanalization status and complications. RESULTS We analyzed 2916 patients (median age 74 years, 50.7% female) who underwent EVT. Patients treated within core working hours more frequently had a favorable outcome (42.6% vs 36.1% treated in the afternoon/evening vs 35.8% treated at night-time; p=0.007). Similar results were found when analyzing 12 treatment windows. All these differences remained significant in multivariable analysis adjusting for outcome-relevant co-factors. Onset-to-recanalization time was considerably longer outside core working hours, which was mainly explained by longer door-to-groin time (p<0.001). There was no difference in the number of passes, recanalization status, groin-to-recanalization time and EVT-related complications. CONCLUSIONS The findings of delayed intrahospital EVT workflows and worse functional outcomes outside core working hours in this nationwide registry are relevant for optimization of stroke care, and might be applicable to other countries with similar settings.
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Affiliation(s)
| | | | - Hannes Deutschmann
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Markus Kneihsl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Sebastian Mutzenbach
- Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Monika Killer-Oberpfalzer
- Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University Salzburg, Salzburg, Austria
- Institute of Neurointervention, Christian Doppler Medical Center, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Elke R Gizewski
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Knoflach
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Stefan Kiechl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Sonnberger
- Institute of Neuroradiology, Kepler University Hospital Linz, Linz, Austria
| | - Milan R Vosko
- Department of Neurology, Kepler University Hospital Linz, Linz, Austria
| | - Jörg Weber
- Department of Neurology, Klinikum Klagenfurt, Klagenfurt, Austria
| | - Klaus A Hausegger
- Institute of Diagnostic and Interventional Radiology, Klinikum Klagenfurt, Klagenfurt, Austria
| | - Wolfgang Serles
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Philipp Werner
- Department of Neurology, State Hospital of Feldkirch/Rankweil, Rankweil, Austria
| | - Dimitre Staykov
- Department of Neurology, St. John's Hospital, Eisenstadt, Austria
| | - Marek Sykora
- Department of Neurology, St. John's Hospital, Vienna, Austria
| | - Wilfried Lang
- Department of Neurology, St. John's Hospital, Vienna, Austria
| | - Julia Ferrari
- Department of Neurology, St. John's Hospital, Vienna, Austria
| | | | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
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9
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Oliveira M, Rocha A, Barbosa F, Barros P, Fonseca L, Ribeiro M, Afreixo V, Gregório T. Acute kidney injury after endovascular therapy in acute stroke patients: systematic review with meta-analysis. J Neurointerv Surg 2023; 15:e468-e474. [PMID: 36797049 DOI: 10.1136/jnis-2022-019955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/09/2023] [Indexed: 02/18/2023]
Abstract
AIMS Endovascular therapy (EVT) is a highly effective stroke treatment, but it requires the administration of contrast media which puts patients at risk of acute kidney injury (AKI). AKI is associated with increased morbidity and mortality in cardiovascular patients. METHODS PubMed, Scopus, ISI and the Cochrane Library were systematically searched for observational and experimental studies assessing the occurrence of AKI in adult acute stroke patients submitted to EVT. Two independent reviewers collected study data regarding study setting, period, source of data, and AKI definition and predictors, the outcomes of interest being AKI incidence and 90-day death or dependency (modified Rankin Scale score ≥3). These outcomes were pooled using random effect models, and heterogeneity was measured using the I2 statistic. RESULTS 22 studies were identified and included in the analysis, involving 32 034 patients. Pooled incidence of AKI was 7% (95% CI 5% to 10%), but heterogeneity was high across studies (I2=98%), and not accounted for by the definition of AKI used. The most frequently reported AKI predictors were impaired baseline renal function (5 studies) and diabetes (3 studies); 3 studies (2103 patients) reported data on death and 4 studies (2424 patients) reported data on dependency. Overall, AKI was associated with both outcomes, with ORs of 6.21 (95% CI 3.52 to 10.96) and 2.86 (95% CI 1.88 to 4.37), respectively. Heterogeneity was low for both analyses (I2=0%). CONCLUSIONS AKI affects 7% of acute stroke patients submitted to EVT and identifies a subgroup of patients for which treatment outcomes are suboptimal, with an increased risk of death and dependency.
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Affiliation(s)
- Marta Oliveira
- Department of Internal Medicine, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Portugal
| | - Ana Rocha
- Department of Medical Sciences, Universidade de Aveiro, Aveiro, Portugal
| | - Flávia Barbosa
- Department of Medical Sciences, Universidade de Aveiro, Aveiro, Portugal
| | - Pedro Barros
- Stroke Unit, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Porto, Portugal
- Neurology, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Porto, Portugal
| | - Luísa Fonseca
- Stroke Unit, Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Manuel Ribeiro
- Cerebrovascular Interventional Neuroradiology Unit, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Porto, Portugal
| | - Vera Afreixo
- Center for Research and Development in Mathematics and Applications, University of Aveiro, Aveiro, Portugal
| | - Tiago Gregório
- Department of Internal Medicine, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Portugal
- Stroke Unit, Centro Hospitalar de Vila Nova de Gaia Espinho EPE, Vila Nova de Gaia, Porto, Portugal
- MEDCIDS, Universidade do Porto Faculdade de Medicina, Porto, Portugal
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10
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Ramírez-Guerrero G, Marcello M, Reis T. Hyperchloremia, a necessary evil in neurocritical care. Crit Care 2023; 27:353. [PMID: 37700333 PMCID: PMC10498512 DOI: 10.1186/s13054-023-04639-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/14/2023] Open
Affiliation(s)
- Gonzalo Ramírez-Guerrero
- Critical Care Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaíso, Chile.
- Nephrology and Dialysis Unit, Carlos Van Buren Hospital, Valparaíso, Chile.
- Deparment of Medicine, Universidad de Valparaíso, Valparaíso, Chile.
| | - Matteo Marcello
- International Renal Research Institute of Vicenza (IRRIV Foundation), Department of Nephrology, Dialysis and Kidney Transplantation, San Bortolo Hospital, Vicenza, Italy
| | - Thiago Reis
- Deparment of Nephrology and Kidney Transplantation, Fenix Group, Sao Paulo, Brazil
- Laboratory of Molecular Pharmacology, University of Brasília, Brasília, Brazil
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11
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Bobot M, Suissa L, Hak JF, Burtey S, Guillet B, Hache G. Kidney disease and stroke: epidemiology and potential mechanisms of susceptibility. Nephrol Dial Transplant 2023; 38:1940-1951. [PMID: 36754366 DOI: 10.1093/ndt/gfad029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Indexed: 02/10/2023] Open
Abstract
Patients with chronic kidney disease (CKD) have an increased risk of both ischaemic and haemorrhagic stroke compared with the general population. Both acute and chronic kidney impairment are independently associated with poor outcome after the onset of a stroke, after adjustment for confounders. End-stage kidney disease (ESKD) is associated with a 7- and 9-fold increased incidence of both ischaemic and haemorrhagic strokes, respectively, poorer neurological outcome and a 3-fold higher mortality. Acute kidney injury (AKI) occurs in 12% of patients with stroke and is associated with a 4-fold increased mortality and unfavourable functional outcome. CKD patients seem to have less access to revascularisation techniques like thrombolysis and thrombectomy despite their poorer prognosis. Even if CKD patients could benefit from these specific treatments in acute ischaemic stroke, their prognosis remains poor. After thrombolysis, CKD is associated with a 40% increased risk of intracerebral haemorrhage (ICH), a 20% increase in mortality and poorer functional neurological outcomes. After thrombectomy, CKD is not associated with ICH but is still associated with increased mortality, and AKI with unfavourable outcome and mortality. The beneficial impact of gliflozins on the prevention of stroke is still uncertain. Non-traditional risk factors of stroke, like uraemic toxins, can lead to chronic cerebrovascular disease predisposing to stroke in CKD, notably through an increase in the blood-brain barrier permeability and impaired coagulation and thrombosis mechanisms. Preclinical and clinical studies are needed to specifically assess the impact of these non-traditional risk factors on stroke incidence and outcomes, aiming to optimize and identify potential therapeutic targets.
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Affiliation(s)
- Mickaël Bobot
- Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, AP-HM, Marseille, France
- Aix-Marseille Université, INSERM 1263, INRAE 1260, C2VN, Marseille, France
- CERIMED, Aix Marseille Université, Marseille, France
| | - Laurent Suissa
- Aix-Marseille Université, INSERM 1263, INRAE 1260, C2VN, Marseille, France
- Unité Neurovasculaire/Stroke Center, Hôpital de la Timone, AP-HM, Marseille, France
| | - Jean-François Hak
- CERIMED, Aix Marseille Université, Marseille, France
- Service de Radiologie, Hôpital de la Timone, AP-HM, Marseille, France
| | - Stéphane Burtey
- Centre de Néphrologie et Transplantation Rénale, Hôpital de la Conception, AP-HM, Marseille, France
- Aix-Marseille Université, INSERM 1263, INRAE 1260, C2VN, Marseille, France
| | - Benjamin Guillet
- Aix-Marseille Université, INSERM 1263, INRAE 1260, C2VN, Marseille, France
- CERIMED, Aix Marseille Université, Marseille, France
- Service de Radiopharmacie, AP-HM, Marseille, France
| | - Guillaume Hache
- Aix-Marseille Université, INSERM 1263, INRAE 1260, C2VN, Marseille, France
- CERIMED, Aix Marseille Université, Marseille, France
- Pharmacie, Hôpital de la Timone, AP-HM, Marseille, France
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12
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Zhou H, Chen W, Suo Y, Meng X, Zhao X, Wang M, Liu L, Li H, Pan Y, Wang Y. External Validation of the Nelson Equation for Kidney Function Decline in Patients with Acute Ischemic Stroke or Transient Ischemic Attack. Clin Interv Aging 2023; 18:901-909. [PMID: 37304172 PMCID: PMC10257475 DOI: 10.2147/cia.s407338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/01/2023] [Indexed: 06/13/2023] Open
Abstract
Background There is a close brain-kidney interaction following ischemic cerebrovascular disease. The new-onset kidney injury after stroke leads to severe neurological deficits and poor functional outcomes. We aimed to validate the Nelson equation for predicting the new-onset and long-term kidney function decline in patients with acute ischemic stroke (AIS) or transient ischemic attack (TIA). Methods A total of 3169 patients were enrolled in the Third China National Stroke Registry, whose baseline estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73 m2. The outcome of interest was the incident eGFR< 60 mL/min/1.73 m2 at 3 months. The prediction equation of participants with or without diabetes was validated respectively. The receiver operating characteristic curve (AUC) evaluated prediction performance. The Delong test compared the Nelson equation performance with the O'Seaghdha equation and the Chien equation. Continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were determined to evaluate the incremental effect. Results During the 3-mo follow-up period, among 1151 patients with diabetes, there were 31 cases (2.7%) of reduced eGFR. Meanwhile, among 2018 non-diabetic patients, there were 23 cases (1.1%) of reduced eGFR. The Nelson equation showed good discrimination and was well-calibrated in patients with diabetes (AUC 0.82, Hosmer-Lemeshow test p = 0.67) or without diabetes (AUC 0.82, Hosmer-Lemeshow test p = 0.09). The performance of the Nelson equation was superior to other equation, as increased continuous NRI (diabetic, 0.64; non-diabetic, 1.13) and IDI (diabetic, 0.10; non-diabetic, 0.13) to the Chien equation. Conclusion The Nelson equation reliably predicted the risks of the new-onset and long-term kidney function decline in patients with AIS or TIA, which could help clinicians screen high-risk patients and improve clinical care.
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Affiliation(s)
- Hongyu Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yue Suo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
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Ramírez-Guerrero G, Lucero C, Villagrán-Cortés F, Hauway E, Torres-Cifuentes V, Baghetti-Hernández R, Vera-Calzaretta A, Ronco C, Garay O. Acute kidney injury in neurocritical patients: a retrospective cohort study. Int Urol Nephrol 2023:10.1007/s11255-023-03502-7. [PMID: 36800139 DOI: 10.1007/s11255-023-03502-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND /OBJECTIVE Acute kidney injury (AKI) is a significant complication in critical care units (CCU). Non-neurological complications such as AKI are an independent predictor of poor clinical outcomes, with an increase in morbidity and mortality, financial costs, and worse functional recovery. This work aims to estimate the incidence of AKI and evaluate the risk factors and complications of AKI in neurocritical patients hospitalized in the CCU. METHODS A retrospective cohort study was conducted. Patients admitted to the neurocritical care unit between 2016 and 2018 with a stay longer than 48 h were retrospectively analyzed in regard to the incidence, risk factors, and outcomes of AKI. RESULTS The study population comprised 213 neurocritical patients. The incidence of AKI was 23.5%, with 58% KDIGO 1 and 2% requiring renal replacement therapy. AKI was an independent predictor of prolonged use of mechanical ventilation, cerebral edema, and mortality. Cerebral edema [OR 4.40 (95% CI 1.98-9.75) p < 0.001] and a change in chloride levels greater than 4 mmol/L at 48 h (OR 2.44 (95% CI 1.10-5.37) p = 0.027) were risk factors for developing AKI in the first 14 days of hospitalization. CONCLUSION There is a high incidence of AKI in neurocritical patients; it is associated with worse clinical outcomes regardless of the CCU admission etiology or AKI severity.
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Affiliation(s)
- Gonzalo Ramírez-Guerrero
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile. .,Dialysis and Renal Transplantation Unit, Carlos Van Buren Hospital, Valparaiso, Chile. .,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile.
| | - Cristian Lucero
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile
| | - Francisco Villagrán-Cortés
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Dialysis and Renal Transplantation Unit, Carlos Van Buren Hospital, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile
| | - Ernesto Hauway
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile
| | - Vicente Torres-Cifuentes
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Dialysis and Renal Transplantation Unit, Carlos Van Buren Hospital, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile.,Nephrology, Dialysis and Transplantation Unit, Las Higueras Hospital, Talcahuano, Chile
| | - Romyna Baghetti-Hernández
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Dialysis and Renal Transplantation Unit, Carlos Van Buren Hospital, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile.,Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Aldo Vera-Calzaretta
- Departamento de Kinesiología, Facultad de Ciencias de la Salud, Universidad de Atacama, Copiapó, Chile
| | - Claudio Ronco
- Department of Nephrology, Dialysis and Kidney Transplantation, San Bortolo Hospital, Vicenza, Italy.,International Renal Research Institute of Vicenza, Vicenza, Italy
| | - Osvaldo Garay
- Critical Patients Unit, Carlos Van Buren Hospital, San Ignacio #725, Valparaiso, Chile.,Dialysis and Renal Transplantation Unit, Carlos Van Buren Hospital, Valparaiso, Chile.,Departamento de Medicina Interna, Facultad de Medicina, Universidad de Valparaíso, Valparaiso, Chile
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14
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Construction of a Glycaemia-Based Signature for Predicting Acute Kidney Injury in Ischaemic Stroke Patients after Endovascular Treatment. J Clin Med 2022; 11:jcm11133865. [PMID: 35807150 PMCID: PMC9267863 DOI: 10.3390/jcm11133865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 12/25/2022] Open
Abstract
Background: Hyperglycaemia is thought to be connected to worse functional outcomes after ischaemic stroke. However, the association between hyperglycaemia and acute kidney injury (AKI) after endovascular treatment (EVT) remains elusive. The purpose of this study was to investigate the influence of glycaemic on AKI after EVT. Methods: We retrospectively collected the clinical information of patients who underwent EVT from April 2015 to August 2021. Blood glucose after EVT was recorded as acute glycaemia. Chronic glucose levels were estimated by glycosylated haemoglobin (HbA1c) using the following formula: chronic glucose levels (mg/dL) = 28.7 × HbA1c (%) − 46.7. AKI was defined as an increase in maximum serum creatinine to ≥1.5 baseline. We evaluated the association of AKI with blood glucose. A nomogram was established to predict the risk of AKI, and its diagnostic efficiency was determined by decision curve analysis. Results: We enrolled 717 acute ischaemic stroke patients who underwent EVT. Of them, 205 (28.6%) experienced AKI. Acute glycaemia (OR: 1.007, 95% CI: 1.003−1.011, p < 0.001), the acute/chronic glycaemic ratio (OR: 4.455, 95% CI: 2.237−8.871, p < 0.001) and the difference between acute and chronic glycaemia (ΔA-C) (OR: 1.008, 95% CI: 1.004−1.013, p < 0.001) were associated with the incidence of AKI. Additionally, age, atrial fibrillation, ASITN/SIR collateral grading, postoperative mTICI scale, and admission NIHSS were also significantly correlated with AKI. We then created a glycaemia-based nomogram, and its concordance index was 0.743. The net benefit of the nomogram was further confirmed by decision curve analysis. Conclusions: The glycaemia-based nomogram may be used to predict AKI in ischaemic stroke patients receiving EVT.
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Wang F, Zheng X, Zhang J, Jiang F, Chen N, Xu M, Wu Y, Zhou J, Cui X, Zou J. A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease. Clin Interv Aging 2022; 17:755-766. [PMID: 35601241 PMCID: PMC9115835 DOI: 10.2147/cia.s352641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 04/18/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Fusang Wang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People’s Republic of China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Xiaohan Zheng
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People’s Republic of China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Juan Zhang
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Fuping Jiang
- Department of Geriatrics, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Nihong Chen
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Mengyi Xu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Yuezhang Wu
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Junshan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Xiaoli Cui
- Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Jianjun Zou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People’s Republic of China
- Department of Clinical Pharmacology, Nanjing First Hospital, China Pharmaceutical University, Nanjing, People’s Republic of China
- Correspondence: Jianjun Zou; Xiaoli Cui, Email ;
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16
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Wang R, Xie Z, Li B, Zhang P. Renal impairment and the prognosis of endovascular thrombectomy: a meta-analysis and systematic review. Ther Adv Neurol Disord 2022; 15:17562864221083620. [PMID: 35646161 PMCID: PMC9133867 DOI: 10.1177/17562864221083620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Background The association between renal impairment (RI) and stroke outcome after endovascular thrombectomy (EVT) remains unclear, which limits the estimation of patient prognosis by clinicians involved in EVT decision-making. Purpose This study aimed to investigate the association between RI and acute ischemic stroke (AIS) outcomes in patients treated with EVT. Methods Studies involving the association between RI at admission and AIS outcomes after EVT were retrieved from the PubMed and Embase databases from their inception to 17 January 2022. A fixed-effects model was used to synthesize the data of the included studies. Sensitivity analysis was performed to identify the source of heterogeneity. Results Overall, 11 studies, including 5053 patients with stroke receiving EVT, were included in the full analysis. In unadjusted analyses, RI was associated with 3-month poor functional outcome and mortality; the odds ratios (ORs) were 2.13 [10 studies; 95% confidence interval (CI), 1.77-2.56; I 2 = 45%] and 2.42 (8 studies; 95% CI, 2.02-2.90; I 2 = 58%), respectively. In adjusted analyses, the above associations remained significant; the OR of the 3-month poor functional outcome was 1.49 (5 studies; 95% CI, 1.17-1.90; I 2 = 58%), and the OR of the 3-month mortality was 1.84 (6 studies; 95% CI, 1.45-2.33; I 2 = 74%). Similar results were obtained in sensitivity analyses. Conclusion Our results suggest that in patients with AIS who underwent EVT, RI at admission was associated with 3-month poor functional outcome and mortality.
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Affiliation(s)
- Rui Wang
- Department of Epidemiology and Biostatistics,
School of Public Health, Jilin University, Changchun, ChinaDepartment of
Thoracic Surgery, The First Hospital of Jilin University, Changchun,
China
| | - Zechun Xie
- Department of Epidemiology and Biostatistics,
School of Public Health, Jilin University, Changchun, China
| | - Bo Li
- Department of Epidemiology and Biostatistics,
School of Public Health, Jilin University, 1163 Xinmin Street, Changchun
130021, China
| | - Peng Zhang
- Clinical Trial and Research Center for Stroke,
Department of Neurology, The First Hospital of Jilin University, 1 Xinmin
Street, Changchun 130021, China
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Rhim JK, Park JJ, Ahn JH, Kim HC, Na D, Chai CL, Jeon JP. Influence of renal impairment on neurologic outcomes following mechanical thrombectomy in acute vertebrobasilar stroke. Neuroradiology 2021; 64:807-815. [PMID: 34665269 DOI: 10.1007/s00234-021-02838-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/14/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Renal impairment (RI) has been regarded as a risk factor for unfavorable neurologic outcomes after mechanical thrombectomy (MT) in acute ischemic stroke. However, most of the previous studies were conducted on patients with anterior circulation stroke. Accordingly, the influence of RI on MT outcomes has not been well elucidated in detail in acute vertebrobasilar stroke. METHODS Consecutive stroke patients with MT due to acute vertebrobasilar artery occlusion between March 2015 and December 2020 at four institutions were included. Multivariable logistic regression analysis was conducted to assess the associations between RI and outcomes and mortality at 3 months, and the development of intracerebral hemorrhage (ICH) after the procedure. Additionally, the multivariable Cox proportional hazards model was performed to determine the influence of RI on survival probability after patient discharge. RESULTS A total of 110 patients were included in the final analysis. The presence of RI (OR = 0.268, 95% CI: 0.077-0.935), National Institute of Health Stroke Scale scores (OR = 0.849, 95% CI: 0.791-0.910), and puncture-to-recanalization time (OR = 0.981, 95% CI: 0.966-0.997) were related to outcomes. There was no significant association between RI and 3-month mortality or ICH. The cumulative survival probability after adjusting for relevant risk factors demonstrated that RI remained significantly associated with poorer survival after MT compared to patients without RI (HR = 2.111, 95% CI: 0.919-4.847). CONCLUSION RI was an independent risk factor for poor 3-month neurologic outcomes and survival probability after MT in patients with acute vertebrobasilar stroke.
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Affiliation(s)
- Jong Kook Rhim
- Department of Neurosurgery, Jeju National University College of Medicine, Jeju, Republic of Korea
| | - Jeong Jin Park
- Department of Neurology, Konkuk University Medical Center, Seoul, Republic of Korea
| | - Jun Hyong Ahn
- Department of Neurosurgery, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea
| | - Heung Cheol Kim
- Department of Radiology, Hallym University College of Medicine, Chuncheon, Republic of Korea
| | - Doyoung Na
- Department of Neurosurgery, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea
| | - Chung Liang Chai
- Department of Neurosurgery, Yee Zen General Hospital, Taoyuan, Taiwan
| | - Jin Pyeong Jeon
- Department of Neurosurgery, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon, 24253, Republic of Korea.
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