Literature DB >> 34210824

Impact of Renal Impairment on Intensive Blood-Pressure-Lowering Therapy and Outcomes in Intracerebral Hemorrhage: Results From ATACH-2.

Mayumi Fukuda-Doi1, Haruko Yamamoto1, Masatoshi Koga1, Yohei Doi1, Adnan I Qureshi1, Sohei Yoshimura1, Kaori Miwa1, Akiko Ishigami1, Masayuki Shiozawa1, Katsuhiro Omae1, Masafumi Ihara1, Kazunori Toyoda2.   

Abstract

BACKGROUND AND
OBJECTIVE: The clinical effect of renal impairment on intracerebral hemorrhage (ICH) is unknown. This study sought to assess whether estimated glomerular filtration rate (eGFR) affects clinical outcomes or modifies the efficacy of intensive systolic blood pressure (BP) control (target, 110-139 mm Hg) against the standard (target, 140-179 mm Hg) among patients with ICH.
METHODS: We conducted post hoc analyses of ATACH-2, a randomized, 2-group, open-label trial. The baseline eGFR of each eligible patient was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. The outcome of interest was death or disability at 90 days. Multivariate logistic regression models were used for analysis.
RESULTS: Among the 1,000 patients randomized, 974 were analyzed. The median baseline eGFR was 88 (interquartile range, 68, 99) mL/min/1.73 m2; 451 (46.3%), 363 (37.3%), and 160 (16.4%) patients had baseline eGFR values of ≥90, 60-89, and <60 mL/min/1.73 m2, respectively. Compared with normal eGFR (≥90 mL/min/1.73 m2), higher odds of death or disability were noted among those with eGFR values of <60 mL/min/1.73 m2 (adjusted odds ratio [OR], 2.02; 95% confidence interval [CI], 1.25-3.26) but not among those with eGFR values of 60-89 mL/min/1.73 m2 (OR, 1.01; 95% CI, 0.70-1.46). The odds of death or disability were significantly higher in the intensive arm among patients with decreased eGFR; the ORs were 0.89 (95% CI, 0.55-1.44), 1.13 (0.68-1.89), and 3.60 (1.47-8.80) in patients with eGFR values of ≥90, 60-89, and <60 mL/min/1.73 m2, respectively (p for interaction = 0.02). DISCUSSION: Decreased eGFR is associated with unfavorable outcomes following ICH. The statistically significant interaction between the eGFR group and treatment assignment raised safety concerns for the intensive BP-lowering therapy among patients with renal impairment. TRIAL REGISTRATION INFORMATION: Clinicaltrials.gov identifier: NCT01176565. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that in spontaneous ICH, decreased eGFR identifies patients at risk of death or disability following intensive BP control.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

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Year:  2021        PMID: 34210824      PMCID: PMC8408509          DOI: 10.1212/WNL.0000000000012442

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


Stroke and chronic kidney disease (CKD) are serious public health concerns. CKD, mainly characterized by a reduced estimated glomerular filtration rate (eGFR), is common among patients with stroke and is associated with unfavorable outcomes.[1-3] Intensive blood pressure (BP) lowering is a plausible therapeutic option for intracerebral hemorrhage (ICH); however, intensive BP control is controversial in patients with CKD. According to some observational studies, CKD attenuates the beneficial effects of intensive systolic BP (SBP) control.[4,5] The post hoc analysis of SPRINT (Systolic Blood Pressure Intervention Trial) reported that intensive BP control increases acute kidney injury (AKI) incidence and provides little or no cardiovascular benefit in patients with moderate to severe CKD.[6,7] These studies did not include patients with acute stroke. Among patients with ICH, INTERACT2 (Second Intensive Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial) demonstrated that intensive SBP lowering yielded a modest improvement in functional outcomes compared with the standard; its post hoc analysis revealed that the effects of early intensive BP lowering were consistent across different eGFRs. Meanwhile, in the ATACH-2 study (Antihypertensive Treatment of Acute Cerebral Hemorrhage–II), which investigated the efficacy of intensive (target 110–139 mm Hg) vs standard (target 140–179 mm Hg) SBP-lowering initiated within 4.5 hours after symptom onset, intensive SBP-lowering therapy did not improve the functional outcomes but raised concerns for renal adverse events (AEs). The intensive treatment group had a twofold higher rate of renal AEs than the standard treatment group (9.0% vs 4.0%).[8] These findings suggest that the safety of intensive SBP-lowering therapy in acute ICH remains a concern, especially among patients with CKD. Understanding the effect of renal function on clinical outcomes and treatment is crucial when selecting the target population of intensive SBP-lowering therapy. Using the ATACH-2 trial data, this study aimed to explore the effect of eGFR on clinical outcomes and its interaction with intensive BP-lowering treatment among patients with ICH.

Methods

Standard Protocol Approvals, Registrations, and Patient Consents

ATACH-2 was registered in ClinicalTrials.gov (Unique identifier: NCT01176565). The institutional review board or the ethics committee at each participating site approved the ATACH-2 protocol, and all participants or their legally authorized representatives provided written informed consent.

Classification of Evidence

The primary research question was whether renal impairment affects clinical outcomes or modifies the efficacy of intensive SBP control in patients with intracerebral hemorrhage. This study provides Class II evidence that, in spontaneous ICH, decreased eGFR identifies patients at risk of death or disability following intensive BP control.

Study Design

ATACH-2 was an international, multicenter, randomized, 2-group, open-label, and blinded endpoint trial that examined the efficacy of intensive SBP lowering in patients with spontaneous supratentorial ICH. The trial has been thoroughly described in a previous report.[8] Briefly, patients with primary ICH of <60 mL and SBP of >180 mm Hg upon hospital arrival within 4.5 hours of onset were randomly assigned to intensive (SBP: 110–139 mm Hg) or standard (SBP: 140–179 mm Hg) treatment. Meanwhile, those with a Glasgow Coma Scale (GCS) score of <5, prothrombin time international normalized ratio of >1.5 at presentation, or premorbid disability requiring assistance in ambulation or daily activities were excluded from the trial. The hourly minimum SBP of each patient was reduced to the assigned target range using IV nicardipine within 2 hours and maintained through 24 hours after randomization.

Clinical Variables and Outcome Measures

The primary outcome was a composite of death within 90 days or severe disability at 90 days, corresponding to modified Rankin Scale (mRS) score of 4–6 (hereafter referred to as death or disability). The secondary outcome was death within 90 days. Hematoma expansion was defined as an increase in volume (>6 mL or >33% increase from the baseline) at CT conducted at 24 hours. Receiving surgical evacuation of hematoma was also treated as hematoma expansion. For each patient, creatinine values were obtained at baseline, 24, 48, and 72 hours after randomization. The baseline eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.[9] Patients were categorized into 3 groups according to their baseline eGFRs: ≥90, 60–89, and <60 mL/min/1.73 m2, respectively. Patients with kidney failure (eGFR < 15 mL/min/1.73 m2) with or without renal replacement therapy were excluded. To avoid the leverage of extreme values, we also excluded those with the highest 1% of eGFR values. AKI was identified using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria: ≥0.3 mg/dL within 48 hours or >1.5-fold increase in the serum creatinine level compared with that at baseline or preceding values.[10]

Statistical Analysis

The demographic and baseline clinical characteristics for categorical variables are presented as number (%). Such characteristics were expressed as the mean (SD) for continuous variables with normal distribution and median (interquartile range [IQR]) for those with skewed distribution. The baseline characteristics across the eGFR categories were compared using the χ2 test, analysis of variance, or Kruskal-Wallis test, as appropriate. The generalized linear mixed-effects model was used for identifying the differences in achieved SBP profiles per treatment and eGFR categories. The relationship between eGFR and clinical outcome was examined by multivariate logistic regression, and the outcome was presented as odds ratios (ORs) with 95% confidence intervals (CIs). The potential nonlinear relationship between eGFR and the adjusted ORs of the outcome was illustrated by a restricted cubic splines curve with 3 knots.[11,12] The treatment effects of BP-lowering (intensive vs standard) were explored per eGFR by adding interaction terms to the logistic regression model. Potential interactions between treatment and eGFR as a continuous variable were investigated using the multivariable fractional polynomial interaction (MFPI) approach and illustrated by plotting the estimated ORs and 95% CIs of outcomes according to the continuous eGFR level.[13] In these analyses, 2 models were employed to evaluate robustness. The models were adjusted for the following covariates selected a priori according to clinical knowledge: age (continuous), GCS score (continuous), presence of intraventricular hemorrhage (IVH) (dichotomized) (model 1), model 1 plus sex, treatment allocation (dichotomized), hematoma volume (continuous), and hematoma expansion (dichotomized) (model 2). Considering that we aimed to find the population with a potentially high risk for intensive treatment, we excluded hematoma expansion in the model to evaluate eGFR and treatment interaction. The effect of AKI on the association between baseline eGFR and outcome or between treatment and outcome was identified by logistic regression using the interaction terms AKI-by-eGFR and AKI-by-treatment, respectively. Mediation analyses were conducted using a previously reported method.[14] All missing data were handled in a listwise deletion manner. Multiple imputations were conducted as sensitivity analyses, accounting for any missing data, including outcome and covariates. We also used eGFR calculated using the modification of diet in renal disease (MDRD) equation to check the consistency of the results.[15] Sensitivity analysis including all participants was conducted for completeness. All data were analyzed using STATA SE version 16 (STATA Corporation) or SAS university edition (SAS Institute Inc., 2020; sas.com/en_us/software/university-edition.html). Moreover, p < 0.10 and p < 0.05 were considered statistically significant for assessing the interaction and the main effects, respectively.

Data Availability

The ATACH-2 dataset is available to the public by request from the National Institute of Neurologic Disorders and Stroke. All data are de-identified.

Results

Baseline Characteristics

The flow diagram of this study is presented in Figure 1. Among 1,000 patients enrolled in ATACH-2, 974 were analyzed. The median baseline eGFR was 88 (IQR, 68–99) mL/min/1.73 m2. Among these patients, 451 (46.3%), 363 (37.3%), and 160 (16.4%) had baseline eGFR values of ≥90, 60–89, and <60 mL/min/1.73 m2, respectively. Among them, 38 (4.0%) of the primary outcome, 22 (2.3%) of hematoma expansion, and 9 (0.9%) of IVH cases are missing; the missingness is similar across the eGFR subgroup.
Figure 1

CONSORT (Consolidated Standards of Reporting Trials) Flow Diagram

eGFR = estimated glomerular filtration rate; SBP = systolic blood pressure.

CONSORT (Consolidated Standards of Reporting Trials) Flow Diagram

eGFR = estimated glomerular filtration rate; SBP = systolic blood pressure. Patients' demographic and clinical characteristics by baseline eGFR category are displayed in Table 1. Patients with decreased eGFR were older; more frequently had hypertension, dyslipidemia, atrial fibrillation, or diabetes mellitus; had more often been prescribed antihypertensive agents before the ICH onset; and were less frequently Asian than those with normal eGFR. Among the eGFR categories, baseline stroke severity, described by GCS or NIH Stroke Scale (NIHSS), was almost identical (p = 0.93, and p = 0.98, respectively). Baseline hematoma volume was the least in the CKD group. The proportion of hematoma expansion after randomization was not significantly different, but the rate of AKI nearly doubled in the CKD group than in others; 23.4%, 11.2%, and 10.9%, for baseline eGFR of <60, 60–89, and ≥90 mL/min/1.73 m2, respectively.
Table 1

Demographic and Clinical Characteristics

Demographic and Clinical Characteristics Figure 2 depicts the mean hourly minimum SBP profiles of intensive vs standard BP-lowering in each baseline eGFR category. In the intensive group, the SBP pattern is different among the 3 categories of eGFR (p < 0.01). Patients with decreased eGFR (<60 mL/min/1.73 m2) maintained a relatively higher SBP than the other patients.
Figure 2

Mean Minimum Systolic Blood Pressure (SBP) Profile Grouped by Treatment and Estimated Glomerular Filtration Rate (eGFR) Category

Effect of Renal Impairment on Clinical Outcomes

The rates of death or disability (mRS 4–6) were 31.7%, 40.0%, and 49.7% in patients with baseline eGFR values of ≥90, 60–89, and <60 mL/min/1.73 m2, respectively (p < 0.01). After adjustment, patients with decreased eGFR (eGFR <60 mL/min/1.73 m2) had higher odds of death or disability (adjusted ORs 1.72 [1.12–2.64] in model 1 and 2.02 [1.25–3.26] in model 2) than those with eGFR ≥90 mL/min/1.73 m2. However, the linear trend was not observed for eGFR categories in both models because the adjusted ORs in those with mildly decreased eGFR (60–89 mL/min/1.73 m2) crossed 1. The association between eGFR category and death was not confirmed (Table 2).
Table 2

Association Between Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2) Category and Clinical Outcome at 90 Days

Association Between Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2) Category and Clinical Outcome at 90 Days Figure 3 displays the nonlinear relationship between baseline eGFR (as a continuous variable) and clinical outcomes. Herein, we set eGFR = 60 mL/min/1.73 m2 as the reference. If the eGFR was <60 mL/min/1.73 m2, the OR of death or disability (mRS score 4–6) significantly increased. In sensitivity analyses using the MDRD equation or multiple imputations, the baseline eGFR had a similar relationship with the outcome (eTable 1A and 1B, available from Dryad, doi.org/10.5061/dryad.d51c5b035). Furthermore, when all patients were included, the results were similar (eTable 1C, available from Dryad, doi.org/10.5061/dryad.d51c5b035).
Figure 3

Risk of Death or Disability Across the Baseline Estimated Glomerular Filtration Rate (eGFR)

A restricted cubic splines curve with 3 knots illustrating the association of the baseline eGFR with odds ratios (solid line) and 95% confidence intervals (gray area). The model is adjusted for age, baseline Glasgow Coma Scale score, intraventricular hemorrhage, sex, initial hematoma volume, treatment allocation, and hematoma expansion. Reference value of eGFR: 60 mL/min/1.73 m2.

Risk of Death or Disability Across the Baseline Estimated Glomerular Filtration Rate (eGFR)

A restricted cubic splines curve with 3 knots illustrating the association of the baseline eGFR with odds ratios (solid line) and 95% confidence intervals (gray area). The model is adjusted for age, baseline Glasgow Coma Scale score, intraventricular hemorrhage, sex, initial hematoma volume, treatment allocation, and hematoma expansion. Reference value of eGFR: 60 mL/min/1.73 m2.

Treatment Efficacy According to Baseline Renal Function

The treatment-by-eGFR category interaction for death or disability in models 1 and 2 was statistically significant (p for interaction = 0.06 and 0.02, respectively), but not for death (p for interaction = 0.34 and 0.54, respectively) (Figure 4). In the fractional polynomial analysis, eGFR exhibited a nonlinear interaction effect (p for interaction = 0.041 and 0.025 in models 1 and 2, respectively). The ORs of death and disability were significantly increased in patients with decreased baseline eGFR undergoing intensive BP-lowering therapy (Figure 5). The results were consistent in sensitivity analyses using the MDRD equation (eTable 2A, available from Dryad, doi.org/10.5061/dryad.d51c5b035) and multiple imputations (eTable 2B, available from Dryad, doi.org/10.5061/dryad.d51c5b035). When all patients were included in the analysis, we observed a similar trend (eTable 2C, available from Dryad, doi.org/10.5061/dryad.d51c5b035).
Figure 4

Efficacy of Intensive Blood Pressure (BP)–Lowering According to Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2) Categories

Adjusted odds ratios of death or disability (modified Rankin Scale score 4–6) and death among eGFR categories. Model 1: adjusted for age, baseline Glasgow Coma Scale (GCS) score, and intraventricular hemorrhage (IVH). Model 2: adjusted for age, baseline GCS score, IVH, sex, and initial hematoma volume. pint Represents p values for interaction. CI = confidence interval.

Figure 5

Death or Disability Comparing Intensive Versus Standard Blood Pressure (BP)–Lowering by Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2)

The multivariable fractional polynomial interaction plot shows the adjusted odds ratios (solid line) of death or disability (modified Rankin Scale score 4–6), comparing intensive vs standard BP-lowering therapies across the range of continuous values of baseline eGFR. The gray area shows 95% confidence intervals. Models were adjusted for age, baseline Glasgow Coma Scale score, intraventricular hemorrhage, sex, and initial hematoma volume. The p value is for interaction between baseline eGFR and treatment effect.

Efficacy of Intensive Blood Pressure (BP)–Lowering According to Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2) Categories

Adjusted odds ratios of death or disability (modified Rankin Scale score 4–6) and death among eGFR categories. Model 1: adjusted for age, baseline Glasgow Coma Scale (GCS) score, and intraventricular hemorrhage (IVH). Model 2: adjusted for age, baseline GCS score, IVH, sex, and initial hematoma volume. pint Represents p values for interaction. CI = confidence interval.

Death or Disability Comparing Intensive Versus Standard Blood Pressure (BP)–Lowering by Baseline Estimated Glomerular Filtration Rate (eGFR) (mL/min/1.73 m2)

The multivariable fractional polynomial interaction plot shows the adjusted odds ratios (solid line) of death or disability (modified Rankin Scale score 4–6), comparing intensive vs standard BP-lowering therapies across the range of continuous values of baseline eGFR. The gray area shows 95% confidence intervals. Models were adjusted for age, baseline Glasgow Coma Scale score, intraventricular hemorrhage, sex, and initial hematoma volume. The p value is for interaction between baseline eGFR and treatment effect.

Effect of AKI on the Treatment and Clinical Outcome

AKI did not affect the association of baseline eGFR with death or disability (p for interaction = 0.55) or of treatment with the outcome (p for interaction = 0.77) in the study population. From the med4way procedure, AKI did not significantly mediate the association between treatment and death or disability (percentage mediated was 5%, p = 0.98) among the subgroup of patients with reduced eGFR (eGFR <60 mL/min/1.73 m2).

Discussion

In this post hoc analysis of ATACH-2, we describe the association of baseline eGFR with functional outcomes. After relevant clinical and demographic factors were adjusted, the eGFR on admission was independently associated with death or disability after ICH. The baseline eGFR modified the effect of intensive SBP-lowering. Intensive SBP-lowering therapy increased the risk of death or disability in patients with decreased baseline eGFR. Previous studies support the association between decreased renal function and unfavorable outcomes after stroke.[16-18] In another landmark clinical trial of ICH, INTERACT2, patients with decreased eGFR on admission had a high risk of poor functional outcomes.[3,19] Our results are consistent with those of previous studies. The relationship between eGFR and functional outcomes was nonlinear. On the basis of the reference eGFR value (60 mL/min/1.73 m2), the risk of death or disability was significantly increased in patients with eGFR less than the reference value. However, it was consistent in those with eGFR >60 mL/min/1.73 m2. The mechanism underlying the association between decreased eGFR and unfavorable outcomes is unknown. In our study, the initial NIHSS score and frequency of hematoma expansion were similar among baseline eGFR categories (Table 1). The possible explanations include an increased cerebrovascular risk due to shared vascular risk factors, such as hypertension, diabetes, and dyslipidemia,[2] as well as CKD-specific pathophysiologic mechanisms, including coagulation disorders, endothelial dysfunction, chronic inflammation, and oxidative stress.[2,20] A higher incidence of cognitive impairment, depression, and sarcopenia in patients with CKD may affect functional recovery following ICH.[20-22] Another critical point is therapeutic dilemmas for patients with CKD. Generally, maintaining the balance between high bleeding risk and high thromboembolic risk in patients with CKD is difficult for clinicians.[2] Some therapeutic or diagnostic procedures, such as coronary angiography, may be paused because of renal toxicity risk (e.g., contrast-induced nephropathy).[23,24] These dilemmas may lead to therapeutic nihilism; therefore, cardiovascular diseases are frequently underdiagnosed and undertreated in patients with CKD.[23,25] In this study, the mean BP achieved in patients with decreased eGFR was slightly higher than that achieved in others in the intensive arm, reflecting not just the potential therapeutic resistance to nicardipine but the possible psychological resistance of clinicians against excessive BP reduction arising from the concerns of renal toxicity. Renal impairment itself can modify the treatment effect in acute stroke. In our study, the intensive SBP-lowering increased the risk of death or disability among patients with decreased eGFR; meanwhile, in the post hoc analysis of INTERACT2, decreased eGFR did not modify the treatment effect of intensive SBP-lowering.[3] The critical differences in the 2 trials are the baseline and achieved SBP levels and the antihypertensive regimen used for SBP control. In ATACH-2, all patients had an initial SBP ≥180 mm Hg; meanwhile, only 48% of the patients presented at the same level of SBP in INTERACT2. Subsequently, in ATACH-2, SBP was more rapidly and strictly reduced using IV nicardipine. Therefore, the achieved SBP was substantially lower in ATACH-2 than in INTERACT2. It is well-known that the ability to autoregulate the glomerular filtration rate in renal hypoperfusion (e.g., rapid SBP fall) is prone to be impaired in patients with CKD.[26] In fact, AKI was highly prevalent among those with decreased eGFR on admission (p < 0.001, Table 1); renal events are not explicitly reported in INTERACT2 or the pooled analysis of the 2 trials.[27] Because AKI may lead to poor cardiovascular outcomes, independent of or in conjunction with the CKD-related risks,[28,29] we performed the mediation analysis to test whether AKI mediates between intensive SBP control and poor outcomes in patients with reduced eGFR. As a result, AKI was not the mediator between treatment and poor outcomes but the predictor for poor outcomes, as already reported in the entire ATACH-2 population.[30] In this context, because the brain and kidneys share similar susceptibility to vascular injury,[20,31] patients with decreased eGFR may be more susceptible to restricted cerebral perfusion by aggressive SBP lowering, resulting in delayed functional recovery. However, further studies are warranted to elucidate the mechanism. Methodologically, the 2 studies are different in the manner of treating the eGFR value. In our study, given the potential nonlinear relationship between eGFR and outcome or treatment effect,[11,12] a restricted cubic spline model and the MFPI approach were used aside from eGFR categorization. These approaches may contribute to preserving the statistical power to detect meaningful differences.[13] This study has some limitations. First, in the trial setting, we excluded some patients with typical ICH exhibiting more severe symptoms such as massive hematoma (≥60 cm3) or poor premorbid functional status, thereby limiting generalizability. Second, information regarding renal function such as proteinuria or eGFR value before the ICH onset was unavailable. Considering that serum creatinine is affected by acute illness,[32] using this marker on admission, for reference, can be misleading. Third, we excluded 26 patients with extreme eGFR values. Patients with end-stage renal disease (eGFR <15 mL/min/1.73 m2) were excluded because the effect of intensive SBP-lowering on clinical outcomes may be different in this population.[33,34] We also excluded extremely high eGFR (≥127 mL/min/1.73 m2) because it may represent those with reduced muscle mass, such as the elderly, frail, and patients with other chronic muscle diseases, rather than actual renal function.[32] Our sensitivity analysis including those with extremely high eGFR values did not affect the interaction effects. Fourth, several subanalyses of ATACH-2 have been completed. Considering the hypothesis-generating nature of post hoc analysis, careful interpretation is advised on any statistically significant findings due to multiple testing. This post hoc analysis of ATACH-2 revealed that decreased eGFR was associated with death or disability after ICH. Furthermore, eGFR significantly modified the risk of intensive SBP-lowering in acute ICH, and intensive SBP-lowering is potentially harmful among patients with decreased eGFR. Further studies are required to address the optimal SBP target according to the baseline eGFR.
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2.  Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate.

Authors:  Andrew S Levey; Josef Coresh; Tom Greene; Lesley A Stevens; Yaping Lucy Zhang; Stephen Hendriksen; John W Kusek; Frederick Van Lente
Journal:  Ann Intern Med       Date:  2006-08-15       Impact factor: 25.391

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

Authors:  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
Journal:  Stroke       Date:  2016-12-29       Impact factor: 7.914

4.  Lower estimated glomerular filtration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. A collaborative meta-analysis of high-risk population cohorts.

Authors:  Marije van der Velde; Kunihiro Matsushita; Josef Coresh; Brad C Astor; Mark Woodward; Andrew Levey; Paul de Jong; Ron T Gansevoort; Marije van der Velde; Kunihiro Matsushita; Josef Coresh; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Ron T Gansevoort; Andrew Levey; Meguid El-Nahas; Kai-Uwe Eckardt; Bertram L Kasiske; Toshiharu Ninomiya; John Chalmers; Stephen Macmahon; Marcello Tonelli; Brenda Hemmelgarn; Frank Sacks; Gary Curhan; Allan J Collins; Suying Li; Shu-Cheng Chen; K P Hawaii Cohort; Brian J Lee; Areef Ishani; James Neaton; Ken Svendsen; Johannes F E Mann; Salim Yusuf; Koon K Teo; Peggy Gao; Robert G Nelson; William C Knowler; Henk J Bilo; Hanneke Joosten; Nanno Kleefstra; K H Groenier; Priscilla Auguste; Kasper Veldhuis; Yaping Wang; Laura Camarata; Beverly Thomas; Tom Manley
Journal:  Kidney Int       Date:  2011-02-09       Impact factor: 10.612

Review 5.  Kidney-brain crosstalk in the acute and chronic setting.

Authors:  Renhua Lu; Matthew C Kiernan; Anne Murray; Mitchell H Rosner; Claudio Ronco
Journal:  Nat Rev Nephrol       Date:  2015-08-18       Impact factor: 28.314

6.  Observational modeling of strict vs conventional blood pressure control in patients with chronic kidney disease.

Authors:  Csaba P Kovesdy; Jun L Lu; Miklos Z Molnar; Jennie Z Ma; Robert B Canada; Elani Streja; Kamyar Kalantar-Zadeh; Anthony J Bleyer
Journal:  JAMA Intern Med       Date:  2014-09       Impact factor: 21.873

Review 7.  Stroke and cerebrovascular diseases in patients with chronic kidney disease.

Authors:  Kazunori Toyoda; Toshiharu Ninomiya
Journal:  Lancet Neurol       Date:  2014-08       Impact factor: 44.182

8.  Use of evidence-based therapies in short-term outcomes of ST-segment elevation myocardial infarction and non-ST-segment elevation myocardial infarction in patients with chronic kidney disease: a report from the National Cardiovascular Data Acute Coronary Treatment and Intervention Outcomes Network registry.

Authors:  Caroline S Fox; Paul Muntner; Anita Y Chen; Karen P Alexander; Matthew T Roe; Christopher P Cannon; Jorge F Saucedo; Michael C Kontos; Stephen D Wiviott
Journal:  Circulation       Date:  2010-01-11       Impact factor: 29.690

Review 9.  Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention.

Authors:  Ron T Gansevoort; Ricardo Correa-Rotter; Brenda R Hemmelgarn; Tazeen H Jafar; Hiddo J Lambers Heerspink; Johannes F Mann; Kunihiro Matsushita; Chi Pang Wen
Journal:  Lancet       Date:  2013-05-31       Impact factor: 79.321

10.  Evaluation of Acute Kidney Injury and Mortality After Intensive Blood Pressure Control in Patients With Intracerebral Hemorrhage.

Authors:  L Goodwin Burgess; Nitin Goyal; G Morgan Jones; Yasser Khorchid; Ali Kerro; Kristina Chapple; Georgios Tsivgoulis; Andrei V Alexandrov; Jason J Chang
Journal:  J Am Heart Assoc       Date:  2018-04-13       Impact factor: 5.501

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1.  Early lowering of blood pressure after acute intracerebral haemorrhage: a systematic review and meta-analysis of individual patient data.

Authors:  Tom J Moullaali; Xia Wang; Else Charlotte Sandset; Lisa J Woodhouse; Zhe Kang Law; Hisatomi Arima; Kenneth S Butcher; John Chalmers; Candice Delcourt; Leon Edwards; Salil Gupta; Wen Jiang; Sebastian Koch; John Potter; Adnan I Qureshi; Thompson G Robinson; Rustam Al-Shahi Salman; Jeffrey L Saver; Nikola Sprigg; Joanna M Wardlaw; Craig S Anderson; Philip M Bath
Journal:  J Neurol Neurosurg Psychiatry       Date:  2021-11-03       Impact factor: 10.154

2.  Intensive Systolic Blood Pressure Lowering and Kidney Disease Progression in IgA Nephropathy: A Cohort Study.

Authors:  Guizhen Yu; Jun Cheng; Yan Jiang; Heng Li; Xiayu Li; Jianghua Chen
Journal:  Front Med (Lausanne)       Date:  2022-02-16

3.  Clinical and Prognostic Characteristics of Recurrent Intracerebral Hemorrhage: A Contrast to First-Ever ICH.

Authors:  Yan Wan; Hongxiu Guo; Rentang Bi; Shaoli Chen; Jing Shen; Man Li; Yuanpeng Xia; Lei Zhang; Zhou Sun; Xiaolu Chen; Zhuoyuan Cai; Zhaowei Wang; Daokai Gong; Jingwen Xu; Dongya Zhu; Bo Hu; Quanwei He
Journal:  Front Aging Neurosci       Date:  2022-04-14       Impact factor: 5.750

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