Brain-kidney interaction: Renal dysfunction following ischemic stroke

Elevated risk of end-stage kidney disease in stroke patients: A population-based observational study

BACKGROUND

Estimating the incidence of end-stage kidney disease (ESKD) in stroke survivors is important to assess and predict clinical course, improve post-stroke quality of life, and ultimately reduce health burden.

AIM

Our objective was to assess the risk of ESKD in patients compared to a matched stroke-free control cohort.

METHODS

A nationwide retrospective cohort study was conducted in 315,326 stroke subjects and 390,781 matched stroke-free control subjects. Health examination results and claims data were collected from the Korean National Health Insurance Service during 2010-2018. Cox proportional hazard models were used to assess the risk of ESKD in the stroke cohort.

RESULTS

During a mean follow-up period of 4.3 years, the incidence of ESKD was 1.83 per 100,000 person-years in the stroke cohort versus 0.57 per 100,000 person-years in the control cohort. The stroke cohort exhibited a significantly higher risk of developing ESKD compared to the matched control, with an adjusted hazard ratio (aHR) of 1.79 (95% confidence interval (CI) = 1.67-1.93). Stroke survivors were associated with a higher risk of developing ESKD, regardless of the severity of disability (aHRs of 1.93, 95% CI = 1.69-2.21 for severe disability; 1.71, 95% CI = 1.41-2.07 for mild disability; and 1.78, 95% CI = 1.65-1.92 for no disability), compared to the matching control cohort. The elevated risk was observed in both hemorrhagic stroke (aHR = 1.96, 95% CI = 1.73-2.23) and ischemic stroke (aHR = 1.75, 95% CI = 1.62-1.89).

CONCLUSIONS

This study demonstrates that stroke patients have a significantly higher risk of incident ESKD. This highlights the need for heightened clinical awareness and improved monitoring of kidney function in this population.

Investigating discharge predictors for stroke patients with active cancer after endovascular therapy

OBJECTIVE

Current cancer diagnosis is not an exclusion from treatment with endovascular therapy (EVT) in patients with acute ischemic stroke (AIS). There are insufficient studies to determine whether outcomes, based on modified Rankin Scale (mRS), differ for cancer and non-cancer patients, and what factors affect a favorable outcome. This study aims to identify predictors of discharge outcome in AIS patients with active cancer who have undergone EVT.

METHODS

This retrospective cohort study included patients (age ≥ 18) admitted from 07/01/2018-10/01/2020 with AIS and treated with EVT. Patients were grouped according to the presence or absence of active cancer diagnosis. Multivariable logistic regression determined independent predictors of favorable outcomes (discharge mRS 0-2) in patients with and without active cancer. The predictive utility of admission National Institutes of Health Stroke Scale (NIHSS) was further explored using receiver operating characteristic (ROC) curve analysis to determine area under the curve (AUC) and optimal cut points for favorable outcomes.

RESULTS

Of 463 patients who received EVT, 10 % had cancer. Patients with cancer had significantly higher rates of hypercoagulation-related stroke mechanisms, prior clots, renal failure, and thromboembolic events during hospitalization (all p < 0.01), compared to patients without cancer. Favorable discharge outcomes did not differ significantly between groups (24 % vs. 35 %, p = 0.13). In patients with cancer after adjustment, admission NIHSS independently predicted favorable discharge outcomes (adjusted odds ratio (AOR): 0.81, 95 % confidence interval (CI) 0.69-0.99, p = 0.01), with a 19 % decrease in odds per 1-unit increase in NIHSS. The optimal threshold for NIHSS was 6, with strong fit (AUC: 0.88, p = 0.002). For non-cancer patients, NIHSS (AOR: 0.91, 95 % CI 0.88-0.93, p < 0.001), age, and diabetes history were independent predictors, with a 9 % decrease in odds per unit increase for NIHSS. The threshold for NIHSS in non-cancer patients was 21, with moderate fit (AUC: 0.77, p < 0.001).

CONCLUSION

Admission NIHSS is an important predictor of favorable discharge outcomes in AIS patients with active cancer treated with EVT. Incorporating NIHSS into risk stratification, alongside patients' medical history, may improve the ability to assess the likelihood of favorable discharge outcomes.

In-Hospital Mortality Prediction among Intensive Care Unit Patients with Acute Ischemic Stroke: A Machine Learning Approach

Background: Acute ischemic stroke is a leading cause of death in the United States. Identifying patients with stroke at high risk of mortality is crucial for timely intervention and optimal resource allocation. This study aims to develop and validate machine learning-based models to predict in-hospital mortality risk for intensive care unit (ICU) patients with acute ischemic stroke and identify important associated factors. Methods: Our data include 3,489 acute ischemic stroke admissions to the ICU for patients not discharged or dead within 48 h from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Demographic, hospitalization type, procedure, medication, intake (intravenous and oral), laboratory, vital signs, and clinical assessment [e.g., Glasgow Coma Scale Scores (GCS)] during the initial 48 h of admissions were used to predict in-hospital mortality after 48 h of ICU admission. We explored 3 machine learning models (random forests, logistic regression, and XGBoost) and applied Bayesian optimization for hyperparameter tuning. Important features were identified using learned coefficients. Results: Experiments show that XGBoost tuned for area under the receiver operating characteristic curve (AUC ROC) was the best performing model (AUC ROC 0.86, F1 0.52), compared to random forests (AUC ROC 0.85, F1 0.47) and logistic regression (AUC ROC 0.75, F1 0.40). Top features include GCS, blood urea nitrogen, and Richmond RASS score. The model also demonstrates good fairness for males versus females and across racial/ethnic groups. Conclusions: Machine learning has shown great potential in predicting in-hospital mortality risk for people with acute ischemic stroke in the ICU setting. However, more ethical considerations need to be applied to ensure that performance differences across different racial/ethnic groups will not exacerbate existing health disparities and will not harm historically marginalized populations.

The impact of chronic kidney disease on prognosis in acute stroke: unraveling the pathophysiology and clinical complexity for optimal management

BACKGROUND

Chronic kidney disease (CKD) significantly increases stroke risk and severity, posing challenges in both acute management and long-term outcomes. CKD contributes to cerebrovascular pathology through systemic inflammation, oxidative stress, endothelial dysfunction, vascular calcification, impaired cerebral autoregulation, and a prothrombotic state, all of which exacerbate stroke risk and outcomes.

METHODS

This review synthesizes evidence from peer-reviewed literature to elucidate the pathophysiological mechanisms linking CKD and stroke. It evaluates the efficacy and safety of acute reperfusion therapies-intravenous thrombolysis and endovascular thrombectomy-in CKD patients with acute ischemic stroke. Considerations, such as renal function, drug dosage adjustments, and the risk of contrast-induced nephropathy, are critically analyzed. Evidence-based recommendations and research priorities are drawn from an analysis of current practices and existing knowledge gaps.

RESULTS

CKD influences stroke outcomes through systemic and local pathophysiological changes, necessitating tailored therapeutic approaches. Reperfusion therapies are effective in CKD patients but require careful monitoring of renal function to mitigate risks, such as contrast-induced nephropathy and thrombolytic complications. The bidirectional relationship between stroke and CKD highlights the need for integrated management strategies to address both conditions. Early detection and optimized management of CKD significantly reduce stroke-related morbidity and mortality.

CONCLUSION

Optimizing stroke care in CKD patients requires a comprehensive understanding of their pathophysiology and clinical management challenges. This article provides evidence-based recommendations, emphasizing individualized treatment decisions and coordinated care. It underscores the importance of integrating renal considerations into stroke treatment protocols and highlights the need for future research to refine therapeutic strategies, address knowledge gaps, and consider tailored interventions to improve outcomes and quality of life for this high-risk population.

Severity of Chronic Kidney Disease as Assessed by the Kidney Failure Risk Equation Is Associated With Incident Acute Ischemic Stroke

AIM

Stroke is a leading cause of death and disability, with substantial healthcare implications. Chronic kidney disease (CKD) is similarly impactful, and emerging evidence links CKD to a higher stroke risk. Despite this, stroke risk assessment in CKD patients remains limited. This study explores the kidney failure risk equation (KFRE) as a predictive tool for ischaemic stroke in CKD patients.

METHODS

This retrospective cohort study analysed CKD patients from a healthcare registry, excluding those with prior stroke, end-stage kidney disease, or kidney transplants. Acute ischemic stroke was the primary outcome, with deaths censored. Cox proportional hazards models evaluated associations between the 2-year and 5-year 4-variable KFRE scores and stroke risk.

RESULTS

A total of 14,794 consecutive patients were included, with a median follow-up of 509 days. The median age of the cohort was 73 years (IQR:14 years), with 6251 females(42.3%), and the majority being of Chinese ethnicity (n = 10 759,73.5%). During the follow-up period, 155 patients (1.05%) experienced an ischemic stroke event, with a median time to stroke of 265 days (IQR:242 days). The 2-year (HR: 1.38 per 10% increase, 95% CI: [1.17-1.63], p < 0.001) and 5-year (HR:1.20 per 10% increase, 95% CI: [1.10-1.31], p < 0.001) 4-variable KFRE scores were significantly associated with an increased risk of ischemic stroke. These associations remained significant after adjusting for patient demographics, comorbidities, advanced CKD stage, glycated haemoglobin and lipid parameters.

CONCLUSION

CKD patients at elevated risk of kidney failure also face a significantly increased risk of acute ischaemic stroke. The KFRE could potentially be integrated into CKD management to assess this risk. Future large prospective cohort studies are necessary to validate these findings.

Retrospective cohort study based on the MIMIC-IV database: analysis of factors influencing all-cause mortality at 30 days, 90 days, 1 year, and 3 years in patients with different types of stroke

Objective

This study aims to evaluate key factors influencing the short-term and long-term prognosis of stroke patients, with a particular focus on variables such as body weight, hemoglobin, electrolytes, kidney function, organ function scores, and comorbidities. Stroke poses a significant global health burden, and understanding its prognostic factors is crucial for clinical management.

Methods

This is a retrospective cohort study based on data from the MIMIC-IV database, including stroke patients from 2010 to 2020. A total of 5,110 patients aged 18 and older were included in the study. The exposure variables included body weight and hemoglobin levels, while the outcome variables were the 30-day, 90-day, 1-year, and 3-year mortality risks. Covariates included electrolyte levels, kidney function, organ function scores, and comorbidities. Random forest and gradient boosting tree models were employed for data analysis to assess mortality risk.

Results

Kaplan-Meier survival analysis showed that ischemic stroke patients had the highest 30-day mortality rate at 8.5%, with only 20% 1-year survival. Traumatic subarachnoid hemorrhage patients had the best prognosis, with a 1-year survival rate of 60%. Multivariable Cox regression analysis revealed that each 1-point increase in the Charlson Comorbidity Index raised the 1-year and 3-year mortality risks by 1.39 times (95% CI: 1.10-1.56) and 1.44 times, respectively. Each 1-point increase in the SOFA score increased the 30-day, 90-day, 1-year, and 3-year mortality risks by 2.11 times, 2.03 times, and 1.84 times, respectively. Additionally, lower hemoglobin levels were significantly associated with increased mortality, with 30-day, 90-day, and 1-year mortality risks increasing by 3.33 times, 3.34 times, and 4.16 times, respectively (p < 0.005). Age ≥ 71 years, longer hospital stays, and organ dysfunction were also significant factors affecting mortality.

Conclusion

This study highlights the critical role of stroke type, comorbidity index, SOFA score, hemoglobin levels, and length of hospital stay in stroke prognosis. These findings provide valuable insights for clinical risk assessment and the development of individualized treatment strategies, which may improve the management and outcomes of stroke patients. The predictive model constructed effectively assesses mortality risks in stroke patients, offering support for future clinical practice.

Abnormal neurovascular coupling exists in patients with peritoneal dialysis and hemodialysis: evidence from a multi-mode MRI study

Background

Neurovascular coupling (NVC), as indicated by a comprehensive analysis of the amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF), provides mechanistic insights into neurological disorders. Patients undergoing peritoneal dialysis (PD) and hemodialysis (HD) often face cognitive impairment, the causes of which are not fully understood.

Methods

ALFF was derived from functional magnetic resonance imaging, and CBF was quantified using arterial spin labeling in a cohort comprising 58 patients with PD, 60 patients with HD and 62 healthy controls. Voxel-based global analysis for both ALFF and CBF, alongside region-based analyses of ALFF-CBF coupling coefficients, were conducted. Additionally, the study explored the correlation between clinical laboratory indices and imaging metrics.

Results

Compared with HC, NVC was reduced in the bilateral medial superior frontal gyrus (SFGmed), insula, posterior cingulate cortex (PCC) and caudate (CAU) among dialysis patients. Furthermore, the PD group exhibited lower NVC in the bilateral SFGmed, bilateral PCC and left CAU compared with the HD group. Within the PD group, sodium level was negatively correlated with the ALFF-CBF coupling coefficient in the right insula. Additionally, a positive correlation emerged between the ALFF-CBF coupling coefficient in bilateral SFGmed and the dialysis adequacy.

Conclusion

While Montreal Cognitive Assessment scores did not significantly differ between patients with PD and HD, PD group demonstrated poorer NVC in the bilateral SFGmed, bilateral PCC and left CAU. Sodium level and dialysis adequacy may affect NVC in patients with PD.

Impact of heart rate on eGFR decline in ischemic stroke patients

Background

Resting heart rate is a potent predictor of various renal outcomes. However, the decline rate of renal function in ischemic stroke patients is not well defined. We tested the association of heart rate with estimated eGFR decline and the composite renal outcomes in patients with recent ischemic stroke.

Methods

The data of 9366 patients with ischemic stroke with an eGFR of ≥30 mL/min/1.73 m2 were retrieved from the Chang Gung Research Database. Mean initial in-hospital heart rates were averaged and categorized into 10-beats-per-minute (bpm) increments. The outcomes were the annualized change in eGFR across the heart rate subgroups and composite renal outcomes, namely a ≥40% sustained decline in eGFR, end-stage renal disease, or renal death. Generalized estimating equation models were used to determine the annualized change in eGFR and Cox proportional hazards regression models were used to estimate the relative hazard of composite renal outcomes by referencing the subgroup with a heart rate of <60 bpm.

Results

The annual eGFR decline in the patients with a mean heart rate of <60, 60-69, 70-79, 80-89, and ≥90 bpm was 2.12, 2.49, 2.83, 3.35, and 3.90 mL/min/1.73 m2, respectively. Compared with the reference group, the adjusted hazard ratios for composite renal outcomes were 1.17 [95% confidence interval (CI), 0.89-1.53), 1.54 (95% CI, 1.19-2.00), 1.72 (95% CI, 1.30-2.28), and 1.84 (95% CI, 1.29-2.54] for the patients with a heart rate of 60-69, 70-79, 80-89, and ≥90 bpm, respectively. In the subgroup analysis, the associations between higher heart rate and both eGFR decline and composite renal outcomes were more evident and statistically significant in patients without atrial fibrillation.

Conclusions

A higher heart rate is associated with a faster rate of eGFR decline and an increased risk of composite renal outcomes after ischemic stroke, particularly in patients without atrial fibrillation. These results underscore the importance of heart rate monitoring and management in ischemic stroke patients in sinus rhythm to potentially mitigate renal function decline. Further studies are needed to explore this relationship in patients with atrial fibrillation and across different ethnic groups.

Chronic Kidney Disease and Infection Risk: A Lower Incidence of Peritonsillar Abscesses in Specific CKD Subgroups in a 16-Year Korean Nationwide Cohort Study

Peritonsillar abscesses and deep neck infection are potentially serious infections among patients with chronic kidney disease (CKD), posing risks for severe complications and drawing significant public health concern. This nationwide, population-based longitudinal study (2002-2019) assessed the extended relationship between chronic kidney disease (CKD) and the likelihood of peritonsillar abscess and deep neck infection in a Korean cohort. Using a 1:4 propensity score overlap-weighted matching, we included 16,879 individuals with CKD and 67,516 comparable controls, accounting for demographic variables and comorbidities to ensure balanced group comparisons. Hazard ratios (HRs) and 95% confidence intervals (CIs) for deep neck infection and peritonsillar abscesses in relation to CKD history were calculated with a propensity score overlap-weighted Cox proportional hazards model. Our results revealed no significant increase in the overall incidence of deep neck infections or peritonsillar abscesses in CKD patients compared to controls. Interestingly, CKD patients demonstrated a 50% reduced likelihood of developing peritonsillar abscesses (HR 0.50; 95% CI = 0.30-0.83; p = 0.007), particularly among subgroups aged 70 years or older, females, non-smokers, rural residents, overweight individuals, and those with lower comorbidity burdens (e.g., absence of hypertension, hyperlipidemia, or hyperglycemia). In summary, the results suggest that lifestyle modifications and the effective management of comorbidities could reduce the risk of peritonsillar abscess in certain CKD subgroups. Our findings may help to alleviate public health concerns regarding peritonsillar abscesses and deep neck infections as CKD-related comorbidities.

Early Acute Kidney Injury in Stroke Patients Submitted to Endovascular Treatment: A Cohort Study

Background/Objectives: Acute kidney injury (AKI) is a potential complication of cardiovascular disorders and is associated with worse outcome. The aim of this study was to assess the incidence of early AKI after endovascular therapy for acute ischemic stroke, identify predictors for this complication, and test the association between AKI and mortality or death or dependency. Methods: This was a single-center cohort study involving consecutive patients with acute ischemic stroke submitted to endovascular therapy between 2015 and 2022. AKI was defined according to the KDIGO criteria and evaluated at 48 h. Other outcomes of interest were vital status and functional dependency at 3 months using the modified Rankin Scale, with death or dependency being defined as a score > 2. An adjustment for potential confounders was performed using logistic regression. Results: Overall, 1150 patients were included in the analysis, with a mean age of 74 years and a slight female preponderance (56%). The median NIHSS was 15, the mean onset-to-groin time was 392 min, and 92% of patients were successfully recanalized. The overall incidence rate of AKI was 6%. On univariate analysis, patients with AKI were older (p = 0.002), had a longer time to EVT (p = 0.042), higher NIHSS (p = 0.006), higher blood glucose (p = 0.033), and lower baseline glomerular filtration rate (GFR) (p < 0.001). After adjustment for confounders, AKI was independently associated with NIHSS (p = 0.012), time to treatment (p = 0.004), and lower baseline GFR (p < 0.001). AKI was also independently associated with higher mortality (OR = 2.302, p = 0.003). Conclusions: Patients with impaired baseline renal function and more severe stroke are at higher risk of AKI, and AKI begets worse stroke outcome. Better strategies are required to optimize treatment outcome in these patients and avert this vicious cycle.

Causal Links Between Renal Function and Cardiac Structure, Function, and Disease Risk

Background

Chronic kidney disease (CKD) increases the risk of adverse cardiovascular outcomes. However, the causal relationships between renal function and cardiovascular diseases (CVD) remain incompletely understood. This study aimed to determine the causal relationships between genetic susceptibility to impaired renal function and the risk of CVD endpoints, as well as cardiac structure and function detectable by cardiac magnetic resonance imaging (CMR).

Methods

Bidirectional Mendelian randomization (MR) analyses were conducted using summary-level data from genome-wide association studies. The exposures were blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio (UACR), and CKD. The outcomes included atrial fibrillation, coronary artery disease (CAD), myocardial infarction, heart failure, stroke, and various CMR parameters. Sensitivity analyses, multivariable MR adjusting for cardiometabolic traits, and replication in the FinnGen cohort were performed.

Results

Elevated BUN levels (OR 1.505; 95% CI 1.077 to 2.103; P = 0.017) were causally associated with increased CAD risk, but this relationship was attenuated after adjusting for cardiometabolic traits. Increased UACR was causally linked to higher risks of CAD (OR 1.260; 95% CI 1.042 to 1.523; P = 0.017), myocardial infarction (OR 1.424; 95% CI 1.137 to 1.783; P = 0.002), and stroke (OR 1.182; 95% CI 1.012 to 1.379; P = 0.035), with the association for stroke remaining significant after multivariable adjustment. Reduced eGFR was causally related to decreases in ascending aorta diameter, proximal pulmonary artery diameter, right atrial size, left ventricular stroke volume, and right ventricular volumes, even after accounting for potential confounders. CKD was causally associated with a reduced pulmonary artery-to-aorta ratio and proximal pulmonary artery diameter.

Conclusions

This comprehensive MR study establishes causal roles of genetic susceptibility to impaired renal function influencing cardiovascular outcomes and cardiac structure.

Stroke-Induced Renal Dysfunction: Underlying Mechanisms and Challenges of the Brain-Kidney Axis

Stroke, a major neurological disorder and a leading cause of disability and death, often inflicts damage upon other organs, particularly the kidneys. While chronic kidney disease (CKD) has long been established as a significant risk factor for cerebrovascular disease, stroke can induce renal dysfunction, manifesting as acute kidney injury (AKI) or CKD. Mounting clinical and basic research evidence supports the existence of a bidirectional brain-kidney crosstalk following stroke, implicating specific mechanisms and pathways in stroke-related renal dysfunction. This review analyzes pertinent experimental studies, elucidating the underlying mechanisms of this cerebro-renal interaction following stroke. Additionally, we summarize the current landscape of clinical research investigating brain-kidney interplay and discuss potential challenges in the future. By enhancing our understanding of the scientific underpinnings of brain-kidney crosstalk, this review paves the way for improved treatment strategies and outcomes for stroke patients. Recognizing the intricate interplay between the brain and kidneys after stroke holds profound clinical implications.

Acute kidney injury is associated with soluble vascular cell adhesion molecule 1 levels and short-term mortality in patients with ischemic stroke

BACKGROUND

The mechanisms that modulate the onset of acute kidney inlury (AKI) after ischemic stroke (IS) and valuable biomarkers to predict the occurrence and prognosis of AKI among patients with IS are missing.

OBJECTIVE

To evaluate the frequency of AKI and the prognostic validity of clinical and laboratory biomarkers in predicting AKI and short-term mortality after the IS.

METHODS

Ninety-five patients with IS were enrolled. Baseline IS severity was assessed using the National Institutes of Health Stroke Scale (NIHSS) and disability was determined after three-month follow-up using the modified Rankin Scale. Patients with IS were also categorized as survivors and non-survivors after the follow-up. Baseline data and laboratory biomarkers were obtained up to 24 h of the admission.

RESULTS

Fifteen (15.7 %) patients with IS presented AKI. The proportion of patients with vitamin D deficiency and the mortality were higher among those with AKI than those without AKI (p=0.011 and p-0.009, respectively). Patients with AKI showed higher disability and higher increased soluble vascular cellular adhesion molecule-1 (sVCAM-1) than those without AKI (p=0.029 and p=0.023, respectively). Logistic regression analysis showed that only sVCAM-1 was associated with the occurrence of AKI after IS [odds ratio (OR): 2.715, 95 % confidence intereval (CI): 1.12-6.67, p=0.027]. When both AKI and NIHSS were evaluated as explanatory variables, this panel showed an OR of 5.782 (95 % CI: 1.09-30.43, p<0.001) and correctly classified 83.6 % of cases.

CONCLUSION

In conclusion, sVCAM-1 levels showed a potential useful for prediction of AKI after IS.

Vascular Impairment, Muscle Atrophy, and Cognitive Decline: Critical Age-Related Conditions

The triad of vascular impairment, muscle atrophy, and cognitive decline represents critical age-related conditions that significantly impact health. Vascular impairment disrupts blood flow, precipitating the muscle mass reduction seen in sarcopenia and the decline in neuronal function characteristic of neurodegeneration. Our limited understanding of the intricate relationships within this triad hinders accurate diagnosis and effective treatment strategies. This review analyzes the interrelated mechanisms that contribute to these conditions, with a specific focus on oxidative stress, chronic inflammation, and impaired nutrient delivery. The aim is to understand the common pathways involved and to suggest comprehensive therapeutic approaches. Vascular dysfunctions hinder the circulation of blood and the transportation of nutrients, resulting in sarcopenia characterized by muscle atrophy and weakness. Vascular dysfunction and sarcopenia have a negative impact on physical function and quality of life. Neurodegenerative diseases exhibit comparable pathophysiological mechanisms that affect cognitive and motor functions. Preventive and therapeutic approaches encompass lifestyle adjustments, addressing oxidative stress, inflammation, and integrated therapies that focus on improving vascular and muscular well-being. Better understanding of these links can refine therapeutic strategies and yield better patient outcomes. This study emphasizes the complex interplay between vascular dysfunction, muscle degeneration, and cognitive decline, highlighting the necessity for multidisciplinary treatment approaches. Advances in this domain promise improved diagnostic accuracy, more effective therapeutic options, and enhanced preventive measures, all contributing to a higher quality of life for the elderly population.

Predictive value of the random forest model based on bioelectrical impedance analysis parameter trajectories for short-term prognosis in stroke patients

BACKGROUND

The short-term prognosis of stroke patients is mainly influenced by the severity of the primary disease at admission and the trend of disease development during the acute phase (1-7 days after admission).

OBJECTIVE

The aim of this study is to explore the relationship between the bioelectrical impedance analysis (BIA) parameter trajectories during the acute phase of stroke patients and their short-term prognosis, and to investigate the predictive value of the prediction model constructed using BIA parameter trajectories and clinical indicators at admission for short-term prognosis in stroke patients.

METHODS

A total of 162 stroke patients were prospectively enrolled, and their clinical indicators at admission and BIA parameters during the first 1-7 days of admission were collected. A Group-Based Trajectory Model (GBTM) was employed to identify different subgroups of longitudinal trajectories of BIA parameters during the first 1-7 days of admission in stroke patients. The random forest algorithm was applied to screen BIA parameter trajectories and clinical indicators with predictive value, construct prediction models, and perform model comparisons. The outcome measure was the Modified Rankin Scale (mRS) score at discharge.

RESULTS

PA in BIA parameters can be divided into four separate trajectory groups. The incidence of poor prognosis (mRS: 4-6) at discharge was significantly higher in the "Low PA Rapid Decline Group" (85.0%) than in the "High PA Stable Group " (33.3%) and in the "Medium PA Slow Decline Group "(29.5%) (all P < 0.05). In-hospital mortality was the highest in the "Low PA Rapid Decline Group" (60%) compared with the remaining trajectory groups (P < 0.05). Compared with the prediction model with only clinical indicators (Model 1), the prediction model with PA trajectories (Model 2) demonstrated higher predictive accuracy and efficacy. The area under the receiver operating characteristic curve (AUC) of Model 2 was 0.909 [95% CI 0.863, 0.956], integrated discrimination improvement index (IDI), 0.035 (P < 0.001), and net reclassification improvement (NRI), 0.175 (P = 0.031).

CONCLUSION

PA trajectories during the first 1-7 days of admission are associated with the short-term prognosis of stroke patients. PA trajectories have additional value in predicting the short-term prognosis of stroke patients.

Stroke and Distal Organ Damage: Exploring Brain-Kidney Crosstalk

Stroke and kidney dysfunction represent significant public health challenges, yet the precise mechanisms connecting these conditions and their severe consequences remain unclear. Individuals experiencing chronic kidney disease (CKD) and acute kidney injury (AKI) are at heightened susceptibility to experiencing repeated strokes. Similarly, a reduced glomerular filtration rate is associated with an elevated risk of suffering a stroke. Prior strokes independently contribute to mortality, end-stage kidney disease, and cardiovascular complications, underscoring the pathological connection between the brain and the kidneys. In cases of AKI, various mechanisms, such as cytokine signaling, leukocyte infiltration, and oxidative stress, establish communication between the brain and the kidneys. The bidirectional relationship between stroke and kidney pathologies involves key factors such as uremic toxins, proteinuria, inflammatory responses, decreased glomerular filtration, impairment of the blood-brain barrier (BBB), oxidative stress, and metabolites produced by the gut microbiota. This review examines potential mechanisms of brain-kidney crosstalk underlying stroke and kidney diseases. It holds significance for comprehending multi-organ dysfunction associated with stroke and for formulating therapeutic strategies to address stroke-induced kidney dysfunction and the bidirectional pathological connection between the kidney and stroke.

Radiologic and Blood Markers Predicting Long-Term Neurologic Outcome Following Decompressive Craniectomy for Malignant Ischemic Stroke: A Preliminary Single-Center Study

BACKGROUND

 Malignant ischemic stroke (MIS) is defined by progressive cerebral edema leading to increased intracranial pressure (ICP), compression of neural structures, and, eventually, death. Decompressive craniectomy (DC) has been advocated as a lifesaving procedure in the management of patients with MIS. This study aims to identify pre- and postoperative predictive variables of neurologic outcomes in patients undergoing DC for MIS.

METHODS

 We conducted a retrospective study of patients undergoing DC in a single center from April 2016 to April 2020. Preoperative workup included baseline clinical status, laboratory data, and brain computed tomography (CT). The primary outcome was the 6-month modified Rankin score (mRS). The secondary outcome was the 30-day mortality.

RESULTS

 During data capture, a total of 58 patients fulfilled the criteria for MIS, of which 22 underwent DC for medically refractory increased ICP and were included in the present analysis. The overall median age was 58.5 years. An immediate (24 hour) postoperative extended Glasgow Outcome Scale (GOSE) score ≥5 was associated with a good 6-month mRS (1-3; p = 0.004). Similarly, low postoperative neutrophils (p = 0.002), low lymphocytes (p = 0.004), decreased neutrophil-to-lymphocyte ratio (NLR; p = 0.02), and decreased platelet-to-lymphocytes ratio (PLR; p = 0.03) were associated with good neurologic outcomes. Preoperative variables independently associated with worsened 6-month mRS were the following: increased age (odds ratio [OR]: 1.10; 95% confidence interval [CI]: 1.01-1.20; p = 0.02), increased National Institutes of Health Stroke Scale (NIHSS) score (OR: 7.8; 95% CI: 2.5-12.5; p = 0.035), Glasgow Coma Scale (GCS) score less than 8 at the time of neurosurgical referral (OR: 21.63; 95% CI: 1.42-328; p = 0.02), and increased partial thromboplastin time (PTT) before surgery (OR: 2.11; 95% CI: 1.11-4; p = 0.02). Decreased postoperative lymphocytes confirmed a protective role against worsened functional outcomes (OR: 0.01; 95% CI: 0.01-0.4; p = 0.02). Decreased postoperative lymphocyte count was associated with a protective role against increased mRS (OR: 0.01; 95% CI: 0.01-0.4; p = 0.02). The occurrence of hydrocephalus at the postoperative CT scan was associated with 30-day mortality (p = 0.005), while the persistence of postoperative compression of the ambient and crural cistern showed a trend towards higher mortality (p = 0.07).

CONCLUSIONS

 This study reports that patients undergoing DC for MIS showing decreased postoperative blood inflammatory markers achieved better 6-month neurologic outcomes than patients with increased inflammatory markers. Similarly, poor NIHSS score, poor GCS score, increased age, and larger PTT values at the time of surgery were independent predictors of poor outcomes. Moreover, the persistence of postoperative compression of basal cisterns and the occurrence of hydrocephalus are associated with 30-day mortality.

Prognostic model of in-hospital ischemic stroke mortality based on an electronic health record cohort in Indonesia

Stroke patients rarely have satisfactory survival, which worsens further if comorbidities develop in such patients. Limited data availability from Southeast Asian countries, especially Indonesia, has impeded the disentanglement of post-stroke mortality determinants. This study aimed to investigate predictors of in-hospital mortality in patients with ischemic stroke (IS). This retrospective observational study used IS medical records from the National Brain Centre Hospital, Jakarta, Indonesia. A theoretically driven Cox's regression and Fine-Gray models were established by controlling for age and sex to calculate the hazard ratio of each plausible risk factor for predicting in-hospital stroke mortality and addressing competing risks if they existed. This study finally included 3,278 patients with IS, 917 (28%) of whom had cardiovascular disease and 376 (11.5%) suffered renal disease. Bivariate exploratory analysis revealed lower blood levels of triglycerides, low density lipoprotein, and total cholesterol associated with in-hospital-stroke mortality. The average age of patients with post-stroke mortality was 64.06 ± 11.32 years, with a mean body mass index (BMI) of 23.77 kg/m2 and a median Glasgow Coma Scale (GCS) score of 12 and an IQR of 5. Cardiovascular disease was significantly associated with IS mortality risk. NIHSS score at admission (hazard ratio [HR] = 1.04; 95% confidence interval [CI]: 1.00-1.07), male sex (HR = 1.51[1.01-2.26] and uric acid level (HR = 1.02 [1.00-1.03]) predicted survivability. Comorbidities, such as cardiovascular disease (HR = 2.16 [1.37-3.40], pneumonia (HR = 2.43 [1.42-4.15] and sepsis (HR = 2.07 [1.09-3.94, had higher hazards for post-stroke mortality. Contrarily, the factors contributing to a lower hazard of mortality were BMI (HR = 0.94 [0.89-0.99]) and GCS (HReye = 0.66 [0.48-0.89]. In summary, our study reported that male sex, NIHSS, uric acid level, cardiovascular diseases, pneumonia, sepsis. BMI, and GCS on admission were strong determinants of in-hospital mortality in patients with IS.

Mid- and Late-Life Chronic Kidney Disease Is Associated with Parkinson's Disease, Not with an Increased Risk of Alzheimer's Disease

Chronic kidney disease (CKD) is strongly associated with dementia. However, its independent association with Alzheimer's or Parkinson's disease remains unclear. This study investigated the prospective association of patients with CKD aged ≥55 years with an increased risk of Alzheimer's or Parkinson's disease. We conducted a retrospective cohort analysis using a national cohort sample of approximately one million patients. Primary outcome indicators measured included incidence of all-cause dementia, Alzheimer's disease, and Parkinson's disease events using person-years at risk. The hazard ratio was adjusted using the Cox proportional hazards model. We included 952 patients without CKD and 476 with CKD over 55 years using propensity score matching. The CKD group exhibited higher incidences of all-cause dementia, Parkinson's disease, and Alzheimer's disease than the non-CKD group. Furthermore, the CKD group had an elevated risk of all-cause dementia and a significantly increased risk of Parkinson's disease, especially among older women. Notably, the risk of Parkinson's disease was higher within the first 3 years of CKD diagnosis. These findings emphasize the link between CKD in mid- and late-life individuals and a higher incidence of all-cause dementia and Parkinson's disease rather than Alzheimer's disease.

Aquaporins alteration revealed kidney damages in cerebral ischemia/reperfusion rats

Background

Restoration of blood supply is a desired goal for the treatment of acute ischemic stroke. However, the restoration often leads to cerebral ischemia-reperfusion injury (CIR/I), which greatly increases the risk of non-neural organ damage. In particular, the acute kidney injury might be one of the most common complications.

Aims

The study aimed to understand the damage occurred and the potential molecular mechanisms.

Methods

The study was explored on the CIR/I rats generated by performing middle cerebral artery occlusion/reperfusion (MCAO/Reperfusion). The rats were evaluated with injury on the brains, followed by the non-neural organs including kidneys, livers, colons and stomachs. They were examined further with histopathological changes, and gene expression alterations by using RT-qPCR of ten aquaporins (Aqps) subtypes including Aqp1～Aqp9 and Aqp11. Furthermore, the Aqps expression profiles were constructed for each organ and analyzed by performing Principle Component Analysis. In addition, immunohistochemistry was explored to look at the protein expression of Aqp1, Aqp2, Aqp3 and Aqp4 in the rat kidneys.

Results

There was a prominent down-regulation profile in the MCAO/Reperfusion rat kidneys. The protein expression of Aqp1, Aqp2, Aqp3 and Aqp4 was decreased in the kidneys of the MCAO/Reperfusion rats. We suggested that the kidney was in the highest risk to be damaged following the CIR/I. Down-regulation of Aqp2, Aqp3 and Aqp4 was involved in the acute kidney injury induced by the CIR/I.

Gadolinium Retention and Nephrotoxicity in a Mouse Model of Acute Ischemic Stroke: Linear Versus Macrocyclic Agents

BACKGROUND

Gadolinium (Gd)-based contrast agents (GBCAs) have been widely used for acute ischemic stroke (AIS) patients. GBCAs or AIS alone may cause the adverse effects on kidney tissue, respectively. However, whether GBCAs and AIS would generate a synergistic negative effect remains undefined.

PURPOSE

To evaluate synergistic negative effects of AIS and GBCAs on renal tissues in a mouse model of AIS, and to compare the differences of these negative effects between linear and macrocyclic GBCAs.

STUDY TYPE

Animal study.

ANIMAL MODEL

Seventy-two healthy mice underwent transient middle cerebral artery occlusion (tMCAO) and sham operation to establish AIS and sham model (N = 36/model). 5.0 mmol/kg GBCAs (gadopentetate or gadobutrol) or 250 μL saline were performed at 4.5 hours and 1 day after model establishing (N = 12/group).

ASSESSMENT

Inductively coupled plasma mass spectrometry (ICP-MS) was performed to detect Gd concentrations. Serum biochemical analyzer was performed to measure the serum creatinine (Scr), uric acid (UA), and blood urea nitrogen (BUN). Pathological staining was performed to observe tubular injury, cell apoptosis, mesangial hyperplasia, and interstitial fibrosis.

STATISTICAL TESTS

Two-way analysis of variances with post hoc Sidak's tests and independent-samples t-tests were performed. A P-value <0.05 was considered statistically significant.

RESULTS

AIS groups showed higher Gd concentration than sham group on day 1 p.i. regardless of gadopentetate or gadobutrol used. Increased total Gd concentration was also found in AIS + gadopentetate group compared with the sham group on day 28 p.i. Significantly higher rates for renal dysfunction, higher tubular injury scores, and higher numbers of apoptotic cells on days 1 or 28 p.i. were found for AIS mice injected with GBCA. AIS + gadopentetate group displayed more severe renal damage than the AIS + gadobutrol group.

DATA CONCLUSION

AIS and GBCAs may cause increased total Gd accumulation and nephrotoxicity in a mouse, especially linear GBCAs were used.

LEVEL OF EVIDENCE

1 TECHNICAL EFFICACY: Stage 4.

Electroacupuncture ameliorates gastrointestinal dysfunction by modulating DMV cholinergic efferent signals to drive the vagus nerve in p-MCAO rats

Background

The use of proton pump inhibitors in the acute phase of cerebral infarction may lead to adverse long-term outcomes, this study aims to explore the potential of electroacupuncture (EA) in replacing omeprazole in exerting post-stroke gastrointestinal protection.

Methods

A permanent middle cerebral artery infarction model was established using the modified Longa thread occlusion technique. Gastrointestinal motility, gastrointestinal mucosal damage, cerebral infarct volume, and alterations in choline acetyltransferase (ChAT)-positive neurons within the dorsal motor nucleus of the vagus nerve (DMV) were assessed after 7 days of EA at Zusanli (ST36) or omeprazole intervention. To evaluate the role of the vagal nerve in mitigating post-stroke gastrointestinal dysfunction, we employed subdiaphragmatic vagotomy and the ChAT-specific inhibitor α-NETA. Additionally, we utilized methyllycaconitine (MLA), a selective inhibitor of the α7-type nicotinic acetylcholine receptor (α7nAChR), and PNU282987, an agonist, to identify the target of EA.

Results

EA restored ChAT neurons lost in the DMV, activated the vagus nerve and conferred cerebroprotection while ameliorating gastrointestinal mucosal injury and gastrointestinal motility disorders. In addition, following the administration of the α7nAChR antagonist, the attenuation of gastric mucosal injury and inflammatory factors induced by EA was hindered, although gastrointestinal motility still exhibited improvement.

Conclusion

EA at ST36 promotes the restoration of cholinergic signaling in the DMV of stroke-afflicted rats, and its excitation of the vagal nerve inhibits gastrointestinal inflammation after stroke via α7nAChR, while improvement in gastrointestinal motility could be mediated by other acetylcholine receptors.

Targeting brain-peripheral immune responses for secondary brain injury after ischemic and hemorrhagic stroke

The notion that the central nervous system is an immunologically immune-exempt organ has changed over the past two decades, with increasing evidence of strong links and interactions between the central nervous system and the peripheral immune system, both in the healthy state and after ischemic and hemorrhagic stroke. Although primary injury after stroke is certainly important, the limited therapeutic efficacy, poor neurological prognosis and high mortality have led researchers to realize that secondary injury and damage may also play important roles in influencing long-term neurological prognosis and mortality and that the neuroinflammatory process in secondary injury is one of the most important influences on disease progression. Here, we summarize the interactions of the central nervous system with the peripheral immune system after ischemic and hemorrhagic stroke, in particular, how the central nervous system activates and recruits peripheral immune components, and we review recent advances in corresponding therapeutic approaches and clinical studies, emphasizing the importance of the role of the peripheral immune system in ischemic and hemorrhagic stroke.

The Factors Influencing Chronic Kidney Disease Incidence: Database from the Korean National Health Insurance Sharing Service (NHISS)

Background: The global prevalence of chronic kidney disease (CKD) is increasing, with diabetes accounting for the highest proportion. We analyzed the influence of clinical factors on the incidence of CKD according to the renal function, primary focusing on patients with diabetes. Methods: We used the Sample Cohorts Database provided by the National Health Insurance Sharing Service (NHISS) in Korea. Participants aged ≥ 40 years who underwent a health checkup in 2009 were categorized into six groups based on their eGFR values (<60 mL/min, 60-89 mL/min, ≥90 mL/min) and the presence of diabetes. And all patients with CKD at 2009 screening were excluded. The participants were tracked from 2010 to 31 December 2019. The CKD incidence rate according to the eGFR values and the effect of the accompanying factors on CKD incidence were confirmed. Results: 148,089 people without CKD were analyzed. The CKD incidence rate was highest in those with eGFR < 60 mL/min with diabetes and lowest in those with eGFR ≥ 90 mL/min without diabetes. The CKD incidence rates were similar between the eGFR < 60 mL/min group without diabetes and the eGFR 60-89 mL/min group with diabetes. Compared to under 44 years of age, the hazard ratio of CKD incidence was 8 times higher in over 75 years of age. Men had a 1.7-fold higher risk of developing CKD than women. Current smoker, hypertension, dyslipidemia, myocardial infarction history, and atrial fibrillation and flutter increased the risk of CKD incidence. Age, diabetes, and baseline eGFR are important factors in the occurrence of CKD. As age increases, the risk of developing CKD in men increases compared to women. Conclusions: These results will be helpful in predicting risk groups for CKD and establishing strategies to lowering CKD incidence.

Associations between Chronic Kidney Disease and Migraine Incidence: Findings from a Korean Longitudinal Big Data Study

While headaches frequently occur in individuals with chronic kidney disease (CKD), there are few statistical evaluations of their connection to migraines in population-based studies. In this nationwide longitudinal follow-up study of Korean health examination data (2002-2019), a total of 15,443 participants with CKD and 61,772 matched controls were enrolled. We applied overlap-weighted Cox proportional hazard regression models to assess hazard ratios, examining the correlation between CKD and the development of migraines. After accounting for various factors, we observed a modest reduction of approximately 11% in the likelihood of migraine occurrence among CKD patients (95% confidence intervals = 0.81-0.97) during the 16-year monitoring period. Subgroup analysis revealed a significant association among specific demographic and health conditions, including individuals aged 70 or older, females, overweight individuals, nonsmokers, and those without hypertension or diabetes. Our research may indicate a potential relationship between CKD and the onset of migraines in Korean adults, suggesting a slight reduction in the probability of the occurrence of migraines among those with CKD. These findings emphasize the need for attentive follow-up and preventive management in individuals without the identified protective factors, particularly in male CKD patients under the age of 70 with hypertension.

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

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.

Signaling pathways in brain ischemia: Mechanisms and therapeutic implications

Ischemic stroke occurs when the arteries supplying blood to the brain are narrowed or blocked, inducing damage to brain tissue due to a lack of blood supply. One effective way to reduce brain damage and alleviate symptoms is to reopen blocked blood vessels in a timely manner and reduce neuronal damage. To achieve this, researchers have focused on identifying key cellular signaling pathways that can be targeted with drugs. These pathways include oxidative/nitrosative stress, excitatory amino acids and their receptors, inflammatory signaling molecules, metabolic pathways, ion channels, and other molecular events involved in stroke pathology. However, evidence suggests that solely focusing on protecting neurons may not yield satisfactory clinical results. Instead, researchers should consider the multifactorial and complex mechanisms underlying stroke pathology, including the interactions between different components of the neurovascular unit. Such an approach is more representative of the actual pathological process observed in clinical settings. This review summarizes recent research on the multiple molecular mechanisms and drug targets in ischemic stroke, as well as recent advances in novel therapeutic strategies. Finally, we discuss the challenges and future prospects of new strategies based on the biological characteristics of stroke.

Significant perioperative parameters affecting postoperative complications within 30 days following craniotomy for primary malignant brain tumors

BACKGROUND

The occurrence of postoperative complications within 30 days (PC1M) of a craniotomy for the removal of a primary malignant brain tumor has been associated with a poor prognosis. However, it is still unclear to early predict the occurrence of PC1M. This study aimed to identify the potential perioperative predictors of PC1M from its preoperative, intraoperative, and 24-h postoperative parameters.

METHODS

Patients who had undergone craniotomy for primary malignant brain tumor (World Health Organization grades III and IV) from January 2011 to December 2020 were enrolled from a databank of Kaohsiung Veterans General Hospital, Taiwan. The patients were classified into PC1M and nonPC1M groups. PC1M was defined according to the classification by Landriel et al. as any deviation from an uneventful 30-day postoperative course. In both groups, data regarding the baseline characteristics and perioperative parameters of the patients, including a new marker-kinetic estimated glomerular filtration rate, were collected. Logistic regression was used to analyze the predictability of the perioperative parameters.

RESULTS

The PC1M group included 41 of 95 patients. An American Society of Anesthesiologists score of > 2 (aOR, 3.17; 95% confidence interval [CI], 1.19-8.45; p = 0.021), longer anesthesia duration (aOR, 1.16; 95% CI, 0.69-0.88; p < 0.001), 24-h postoperative change in hematocrit by >  - 4.8% (aOR, 3.45; 95% CI, 1.22-9.73; p = 0.0019), and 24-h postoperative change in kinetic estimated glomerular filtration rate of < 0 mL/min (aOR, 3.99; 95% CI, 1.52-10.53; p = 0.005) were identified as independent risk factors for PC1M via stepwise logistic regression analysis. When stratified according to the age of ≥ 65 years (OR, 11.55; 95% CI, 1.30-102.79; p = 0.028), the reduction of kinetic estimated glomerular filtration rate was more robustly associated with a higher risk of PC1M.

CONCLUSIONS

Four parameters were demonstrated to significantly influence the risk of PC1M in patients undergoing primary malignant brain tumor removal. Measuring and verifying these markers, especially kinetic estimated glomerular filtration rate, would help early recognition of PC1M risk in clinical care.

Prognostic value of blood urea nitrogen to serum albumin ratio for acute kidney injury and in-hospital mortality in intensive care unit patients with intracerebral haemorrhage: a retrospective cohort study using the MIMIC-IV database

OBJECTIVE

We sought to evaluate the prognostic ability of blood urea nitrogen to serum albumin ratio (BAR) for acute kidney injury (AKI) and in-hospital mortality in patients with intracerebral haemorrhage (ICH) in intensive care unit (ICU).

DESIGN

A retrospective cohort study using propensity score matching.

SETTING

ICU of Beth Israel Deaconess Medical Center.

PARTICIPANTS

The data of patients with ICH were obtained from the Medical Information Mart for Intensive Care IV (V.1.0) database. A total of 1510 patients with ICH were enrolled in our study.

MAIN OUTCOME AND MEASURE

The optimal threshold value of BAR is determined by the means of X-tile software (V.3.6.1) and the crude cohort was categorised into two groups on the foundation of the optimal cut-off BAR (6.0 mg/g). Propensity score matching and inverse probability of treatment weighting were performed to control for confounders. The predictive performance of BAR for AKI was tested using univariate and multivariate logistic regression analyses. Multivariate Cox regression analysis was used to investigate the association between BAR and in-hospital mortality.

RESULTS

The optimal cut-off value for BAR was 6.0 mg/g. After matching, multivariate logistic analysis showed that the high-BAR group had a significantly higher risk of AKI (OR, 2.60; 95% confidence index, 95% CI, 1.86 to 3.65, p<0.001). What's more, a higher BAR was also an independent risk factor for in-hospital mortality (HR, 2.84; 95% confidence index, 95% CI, 1.96 to 4.14, p<0.001) in terms of multivariate Cox regression analysis. These findings were further demonstrated in the validation cohort.

CONCLUSIONS

BAR is a promising and easily available biomarker that could serve as a prognostic predictor of AKI and in-hospital mortality in patients with ICH in the ICU.

Exploring the Link between Chronic Kidney Disease and Parkinson's Disease: Insights from a Longitudinal Study Using a National Health Screening Cohort

Chronic kidney disease (CKD) and Parkinson's disease (PD) are common illnesses found in the geriatric population. A potential link between CKD and PD emergence has been hypothesized; however, existing conclusions are disputed. In this longitudinal research, we analyzed data acquired from the Korean National Health Insurance Service-Health Screening Cohort. The dataset comprised the health information of 16,559 individuals clinically diagnosed with CKD and 66,236 control subjects of comparable ages, all aged ≥40 years. These subjects participated in health examinations from 2002 to 2019. To assess the correlation between CKD and PD, we employed overlap-weighted Cox proportional hazard regression models. The unadjusted, crude hazard ratio for PD was greater in the CKD group than in the control group (crude hazard ration (HR) 1.20; 95% confidence interval (CI) = 1.04-1.39; p = 0.011). However, the Cox proportional hazard regression analysis, incorporating propensity score overlap weighting, revealed no significant discrepancy after considering confounding variables such as demographic factors, socio-economic status, lifestyle, and concurrent health conditions (adjusted HR (aHR), 1.09; 95% CI = 0.97-1.22; p = 0.147). Subgroup analyses showed a higher probability of PD development among certain CKD individuals, including those who resided in rural areas (aHR, 1.19; 95% CI = 1.03-1.37; p = 0.022), maintained a normal weight (aHR, 1.29; 95% CI = 1.08-1.56; p = 0.006), or had fasting blood glucose levels ≥100 mg/dL (aHR, 1.18; 95% CI = 1.00-1.39; p = 0.046). Therefore, these clinical or environmental factors may influence the incidence of PD in CKD patients. In conclusion, our results suggest that the general CKD population may not exhibit a greater propensity for PD than their non-CKD counterparts. However, this might be contingent upon specific lifestyle and comorbid conditions. Thus, certain lifestyle alterations could be crucial in mitigating the potential manifestation of PD in patients diagnosed with CKD.

External Validation of the Nelson Equation for Kidney Function Decline in Patients with Acute Ischemic Stroke or Transient Ischemic Attack

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.

Exploring the Link between Chronic Kidney Disease and Alzheimer's Disease: A Longitudinal Follow-Up Study Using the Korean National Health Screening Cohort

Chronic kidney disease (CKD) and Alzheimer's disease (AD) are common chronic diseases in the elderly population. Although a relationship between CKD and the occurrence of AD has been proposed, previous research results have been disputed, and further investigation is necessary to confirm this relationship. In this longitudinal follow-up study, we examined data from the Korean National Health Insurance Service-Health Screening Cohort, consisting of 15,756 individuals with CKD and 63,024 matched controls aged ≥40 years who received health check-ups between 2002 and 2019. Overlap-weighted Cox proportional hazard regression models were exploited to calculate hazard ratios (HRs) for the association between CKD and AD. During the monitoring period, individuals with CKD had a greater incidence of AD than those without CKD (15.80 versus 12.40 per 1000 person years). After accounting for various factors, CKD was significantly associated with a 1.14-fold increased likelihood of developing AD, with a 95% confidence interval ranging from 1.08 to 1.20. In subgroup analysis, this relationship persisted irrespective of age (≥70 or <70), sex, income, smoking status, alcohol consumption, place of residence, or fasting blood glucose level. Additionally, the association between CKD and AD was still evident among patients who were overweight or obese, those with normal blood pressure or cholesterol levels, and those without any other health conditions or with a CCI score of ≥2. These results suggest that CKD could increase the probability of developing AD in the Korean adult population irrespective of demographic or lifestyle conditions. This may make it challenging to predict AD in patients with CKD, emphasizing the importance of frequent AD screening and management.

CNS-peripheral immune interactions in hemorrhagic stroke

Stroke is a sudden and rapidly progressing ischemic or hemorrhagic cerebrovascular disease. When stroke damages the brain, the immune system becomes hyperactive, leading to systemic inflammatory response and immunomodulatory disorders, which could significantly impact brain damage, recovery, and prognosis of stroke. Emerging researches suggest that ischemic stroke-induced spleen contraction could activate a peripheral immune response, which may further aggravate brain injury. This review focuses on hemorrhagic strokes including intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH) and discusses the central nervous system-peripheral immune interactions after hemorrhagic stroke induction. First, inflammatory progression after ICH and SAH is investigated. As a part of this review, we summarize the various kinds of inflammatory cell infiltration to aggravate brain injury after blood-brain barrier interruption induced by hemorrhagic stroke. Then, we explore hemorrhagic stroke-induced systemic inflammatory response syndrome (SIRS) and discuss the interactions of CNS and peripheral inflammatory response. In addition, potential targets related to inflammatory response for ICH and SAH are discussed in this review, which may lead to novel therapeutic strategies for hemorrhagic stroke.

Trimethylamine N-oxide (TMAO) in patients with subarachnoid hemorrhage: a prospective observational study

BACKGROUND

It is suspected that microbiome-derived trimethylamine N-oxide (TMAO) may enhance platelet responsiveness and accordingly be thrombophilic. The purpose of this prospective observational study is to evaluate TMAO in patients with subarachnoid hemorrhage (SAH) and compare it with a control group. A secondary aim was to investigate TMAO in the cerebrospinal fluid (CSF) from SAH patients. This should provide a better understanding of the role of TMAO in the pathogenesis of SAH and its thrombotic complications.

METHODS

The study included patients with diagnosed spontaneous SAH recruited after initial treatment on admission and patients with nerve, nerve root, or plexus disorders serving as controls. Blood samples were gathered from all patients at recruitment. Additionally, sampling of SAH patients in the intensive care unit continued daily for 14 days. The CSF was collected out of existing external ventricular drains whenever possible.

RESULTS

Thirty-four patients diagnosed with SAH, and 108 control patients participated in this study. Plasma TMAO levels at baseline were significantly lower in the SAH group (1.7 μmol/L) compared to the control group (2.9 μmol/L). TMAO was detectable in the CSF (0.4 μmol/L) and significantly lower than in plasma samples of the SAH group at baseline. Plasma and CSF TMAO levels correlated positively. The TMAO levels did not differ significantly during the observation period of 15 days.

CONCLUSIONS

Although we assumed that patients with higher TMAO levels were at higher risk for SAH a priori, plasma TMAO levels were lower in patients with SAH compared with control subjects with nerve, nerve root, or plexus disorders on admission to the hospital. A characteristic pattern of plasma TMAO levels in patients with SAH was not found.

Therapeutic effects of CD133 + Exosomes on liver function after stroke in type 2 diabetic mice

Background and purpose

Non-alcoholic fatty liver disease (NAFLD) is known to adversely affect stroke recovery. However, few studies investigate how stroke elicits liver dysfunction, particularly, how stroke in type 2 diabetes mellitus (T2DM) exacerbates progression of NAFLD. In this study, we test whether exosomes harvested from human umbilical cord blood (HUCBC) derived CD133 + cells (CD133 + Exo) improves neuro-cognitive outcome as well as reduces liver dysfunction in T2DM female mice.

Methods

Female, adult non-DM and T2DM mice subjected to stroke presence or absence were considered. T2DM-stroke mice were randomly assigned to receive PBS or Exosome treatment group. CD133 + Exo (20 μg/200 μl PBS, i.v.) was administered once at 3 days after stroke. Evaluation of neurological (mNSS, adhesive removal test) and cognitive function [novel object recognition (NOR) test, odor test] was performed. Mice were sacrificed at 28 days after stroke and brain, liver, and serum were harvested.

Results

Stroke induces severe and significant short-term and long-term neurological and cognitive deficits which were worse in T2DM mice compared to non-DM mice. CD133 + Exo treatment of T2DM-stroke mice significantly improved neurological function and cognitive outcome indicated by improved discrimination index in the NOR and odor tests compared to control T2DM-stroke mice. CD133 + Exo treatment of T2DM stroke significantly increased vascular and white matter/axon remodeling in the ischemic brain compared to T2DM-stroke mice. However, there were no differences in the lesion volume between non-DM stroke, T2DM-stroke and CD133 + Exo treated T2DM-stroke mice. In T2DM mice, stroke induced earlier and higher TLR4, NLRP3, and cytokine expression (SAA, IL1β, IL6, TNFα) in the liver compared to heart and kidney, as measured by Western blot. T2DM-stroke mice exhibited worse NAFLD progression with increased liver steatosis, hepatocellular ballooning, fibrosis, serum ALT activity, and higher NAFLD Activity Score compared to T2DM mice and non-DM-stroke mice, while CD133 + Exo treatment significantly attenuated the progression of NAFLD in T2DM stroke mice.

Conclusion

Treatment of female T2DM-stroke mice with CD133 + Exo significantly reduces the progression of NAFLD/NASH and improves neurological and cognitive function compared to control T2DM-stroke mice.

From Kidney Protection to Stroke Prevention: The Potential Role of Sodium Glucose Cotransporter-2 Inhibitors

Chronic kidney disease (CKD) is an independent risk factor for stroke and covert cerebrovascular disease, and up to 40% of stroke patients have concomitant CKD. However, the so-called "cerebrorenal interaction" attracted less attention compared to its cardiorenal counterpart. Diabetes is the leading cause of CKD. The sodium-glucose cotransporter (SGLT) 2 inhibitor is a relatively new class of oral anti-diabetic drugs and has cardiorenal benefits in addition to glucose-lowering effects. In the present perspective, we would like to review the current status and future potential of the SGLT2 inhibitor in cerebro-renal interactions and strokes regardless of the status of diabetes. We propose the potential roles of baseline renal functions and SGLT1/2 dual inhibition in stroke prevention, as well as the additional benefits of reducing atrial fibrillation and hemorrhagic stroke for SGLT2 inhibitors. Further clinical trials are anticipated to test whether SGLT2 inhibitors can fulfill the long-standing unmet clinical need and stop such a vicious cycle of cerebro-renal interaction.

A novel risk model based on white blood cell-related biomarkers for acute kidney injury prediction in patients with ischemic stroke admitted to the intensive care unit

Background

Conventional systemic inflammatory biomarkers could predict prognosis in patients with ischemic stroke (IS) admitted to the intensive care unit (ICU). Acute kidney injury (AKI) is common in patients with IS admitted to ICU, but few studies have used systemic inflammatory biomarkers to predict AKI in critically ill patients with IS. This study aimed to establish a risk model based on white blood cell (WBC)-related biomarkers to predict AKI in critically ill patients with IS.

Methods

Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort, and data were extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) for a validation cohort. Logistic regression analysis was used to determine the significant predictors of WBC-related biomarkers on AKI prediction, and a risk model was established based on those significant indicators in multivariate logistic regression. The receiver operating characteristics (ROC) curve was utilized to obtain the best cut-off value of the risk model. The Kaplan-Meier curve was used to evaluate the prognosis-predictive ability of the risk model.

Results

The overall incidence of AKI was 28.4% in the training cohort and 33.2% in the validation cohort. WBC to lymphocyte ratio (WLR), WBC to basophils ratio (WBR), WBC to hemoglobin ratio (WHR), and neutrophil to lymphocyte ratio (NLR) could independently predict AKI, and a novel risk model was established based on WLR, WBR, WHR, and NLR. This risk model depicted good prediction performance both in AKI and other clinical outcomes including hemorrhage, persistent AKI, AKI progression, ICU mortality, and in-hospital mortality both in the training set and in the validation set.

Conclusion

A risk model based on WBC-related indicators exhibited good AKI prediction performance in critically ill patients with IS which could provide a risk stratification tool for clinicians in the ICU.

Receptor for Advanced Glycation End Product, Organ Crosstalk, and Pathomechanism Targets for Comprehensive Molecular Therapeutics in Diabetic Ischemic Stroke

Diabetes mellitus, a well-established risk factor for stroke, is related to higher mortality and poorer outcomes following the stroke event. Advanced glycation end products(AGEs), their receptors RAGEs, other ligands, and several other processes contribute to the cerebrovascular pathomechanism interaction in the diabetes-ischemic stroke combination. Critical reappraisal of molecular targets and therapeutic agents to mitigate them is required to identify key elements for therapeutic interventions that may improve patient outcomes. This scoping review maps evidence on the key roles of AGEs, RAGEs, other ligands such as Leukotriene B4 (LTB4), High-mobility group box 1 (HMGB1) nuclear protein, brain-kidney-muscle crosstalk, alternate pathomechanisms in neurodegeneration, and cognitive decline related to diabetic ischemic stroke. RAGE, HMGB1, nitric oxide, and polyamine mechanisms are important therapeutic targets, inflicting common consequences of neuroinflammation and oxidative stress. Experimental findings on a number of existing-emerging therapeutic agents and natural compounds against key targets are promising. The lack of large clinical trials with adequate follow-up periods is a gap that requires addressing to validate the emerging therapeutic agents. Five therapeutic components, which include agents to mitigate the AGE-RAGE axis, improved biomarkers for risk stratification, better renal dysfunction management, adjunctive anti-inflammatory-antioxidant therapies, and innovative neuromuscular stimulation for rehabilitation, are identified. A comprehensive therapeutic strategy that features all the identified components is needed for outcome improvement in diabetic stroke patients.

Organ Crosstalk in Acute Kidney Injury: Evidence and Mechanisms

Acute kidney injury (AKI) is becoming a public health problem worldwide. AKI is usually considered a complication of lung, heart, liver, gut, and brain disease, but recent findings have supported that injured kidney can also cause dysfunction of other organs, suggesting organ crosstalk existence in AKI. However, the organ crosstalk in AKI and the underlying mechanisms have not been broadly reviewed or fully investigated. In this review, we summarize recent clinical and laboratory findings of organ crosstalk in AKI and highlight the related molecular mechanisms. Moreover, their crosstalk involves inflammatory and immune responses, hemodynamic change, fluid homeostasis, hormone secretion, nerve reflex regulation, uremic toxin, and oxidative stress. Our review provides important clues for the intervention for AKI and investigates important therapeutic potential from a new perspective.

Machine learning for early prediction of sepsis-associated acute brain injury

Background

Sepsis-associated encephalopathy (SAE) is defined as diffuse brain dysfunction associated with sepsis and leads to a high mortality rate. We aimed to develop and validate an optimal machine-learning model based on clinical features for early predicting sepsis-associated acute brain injury.

Methods

We analyzed adult patients with sepsis from the Medical Information Mart for Intensive Care (MIMIC III) clinical database. Candidate models were trained using random forest, support vector machine (SVM), decision tree classifier, gradients boosting machine (GBM), multiple layer perception (MLP), extreme gradient boosting (XGBoost), light gradients boosting machine (LGBM) and a conventional logistic regression model. These methods were applied to develop and validate the optimal model based on its accuracy and area under curve (AUC).

Results

In total, 12,460 patients with sepsis met inclusion criteria, and 6,284 (50.4%) patients suffered from sepsis-associated acute brain injury. Compared other models, the LGBM model achieved the best performance. The AUC for both train set and test set indicated excellent validity (Trainset AUC 0.91, Testset AUC 0.87). Feature importance analysis showed that glucose, age, mean arterial pressure, heart rate, hemoglobin, and length of ICU stay were the top 6 important clinical factors to predict occurrence of sepsis-associated acute brain injury.

Conclusion

Almost half of patients admitted to ICU with sepsis had sepsis-associated acute brain injury. The LGBM model better identify patients with sepsis-associated acute brain injury than did other machine-learning models. Glucose, age, and mean arterial pressure were the three most important clinical factors to predict occurrence of sepsis-associated acute brain injury.

Dynamic nomogram for predicting acute kidney injury in patients with acute ischemic stroke: A retrospective study

Background

This study sought to develop and validate a dynamic nomogram chart to assess the risk of acute kidney injury (AKI) in patients with acute ischemic stroke (AIS).

Methods

These data were drawn from the Medical Information Mart for Intensive Care III (MIMIC-III) database, which collects 47 clinical indicators of patients after admission to the hospital. The primary outcome indicator was the occurrence of AKI within 48 h of intensive care unit (ICU) admission. Independent risk factors for AKI were screened from the training set using univariate and multifactorial logistic regression analyses. Multiple logistic regression models were developed, and nomograms were plotted and validated in an internal validation set. Based on the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) to estimate the performance of this nomogram.

Results

Nomogram indicators include blood urea nitrogen (BUN), creatinine, red blood cell distribution width (RDW), heart rate (HR), Oxford Acute Severity of Illness Score (OASIS), the history of congestive heart failure (CHF), the use of vancomycin, contrast agent, and mannitol. The predictive model displayed well discrimination with the area under the ROC curve values of 0.8529 and 0.8598 for the training set and the validator, respectively. Calibration curves revealed favorable concordance between the actual and predicted incidence of AKI (p > 0.05). DCA indicates the excellent net clinical benefit of nomogram in predicting AKI.

Conclusion

In summary, we explored the incidence of AKI in patients with AIS during ICU stay and developed a predictive model to help clinical decision-making.

Stroke-Heart Syndrome: Recent Advances and Challenges

After ischemic stroke, there is a significant burden of cardiovascular complications, both in the acute and chronic phase. Severe adverse cardiac events occur in 10% to 20% of patients within the first few days after stroke and comprise a continuum of cardiac changes ranging from acute myocardial injury and coronary syndromes to heart failure or arrhythmia. Recently, the term stroke–heart syndrome was introduced to provide an integrated conceptual framework that summarizes neurocardiogenic mechanisms that lead to these cardiac events after stroke. New findings from experimental and clinical studies have further refined our understanding of the clinical manifestations, pathophysiology, and potential long‐term consequences of the stroke–heart syndrome. Local cerebral and systemic mediators, which mainly involve autonomic dysfunction and increased inflammation, may lead to altered cardiomyocyte metabolism, dysregulation of (tissue‐resident) leukocyte populations, and (micro‐) vascular changes. However, at the individual patient level, it remains challenging to differentiate between comorbid cardiovascular conditions and stroke‐induced heart injury. Therefore, further research activities led by joint teams of basic and clinical researchers with backgrounds in both cardiology and neurology are needed to identify the most relevant therapeutic targets that can be tested in clinical trials.

Peripheral Organ Injury After Stroke

Stroke is a disease with high incidence, mortality and disability rates. It is also the main cause of adult disability in developed countries. Stroke is often caused by small emboli on the inner wall of the blood vessels supplying the brain, which can lead to arterial embolism, and can also be caused by cerebrovascular or thrombotic bleeding. With the exception of recombinant tissue plasminogen activator (rt-PA), which is a thrombolytic drug used to recanalize the occluded artery, most treatments have been demonstrated to be ineffective. Stroke can also induce peripheral organ damage. Most stroke patients have different degrees of injury to one or more organs, including the lung, heart, kidney, spleen, gastrointestinal tract and so on. In the acute phase of stroke, severe inflammation occurs in the brain, but there is strong immunosuppression in the peripheral organs, which greatly increases the risk of peripheral organ infection and aggravates organ damage. Nonneurological complications of stroke can affect treatment and prognosis, may cause serious short-term and long-term consequences and are associated with prolonged hospitalization and increased mortality. Many of these complications are preventable, and their adverse effects can be effectively mitigated by early detection and appropriate treatment with various medical measures. This article reviews the pathophysiological mechanism, clinical manifestations and treatment of peripheral organ injury after stroke.

Renal Dysfunction is the Strongest Prognostic Factor After Carotid Artery Stenting According to Real-World Data

PURPOSE

Through the progression of devices, the adaptation of carotid artery stenting (CAS) has been expanded according to the non-inferiority of CAS for carotid endarterectomy reported by several randomized control trials. To maintain favorable outcomes, identifying prognostic factors is essential for optimizing treatment indications and periprocedural management. This study focused on the prognostic factors of CAS using real-world data.

METHODS

This retrospective multicenter cohort study aimed to identify the prognostic factors after CAS using real-world data from the stroke registry of Yokohama (STrOke Registry of Yokohama; STORY) from January 1, 2018 to May 31, 2021. Patient characteristics, procedural factors, complications, and prognoses were collected using medical records.

RESULTS

Data from 107 patients were enrolled in this study after excluding those with insufficient data (2 cases). The mean participant age was 74.9±8.2 years, and 66 patients (61.7%) were symptomatic. Symptomatic lesions were a significant prognostic factor in the overall analysis (p=0.003). A multivariate analysis showed that the estimated glomerular filtration rate (eGFR) (odds ratio: 1.11, p=0.003) and staged CAS (odds ratio: 38.9, p=0.04) were independent prognostic factors. The odds ratio and relative risk of mRS deterioration when eGFR was under 49 mL/min/1.73 m² compared with when eGFR was above 49 mL/min/1.73 m² were 5.2 and 3.74, respectively.

CONCLUSIONS

In this real-world multicenter study, we established independent prognostic factors for CAS using high totality data. For patients with symptomatic lesions and low eGFR (≤49 mL/min/1.73 m²), indication for treatment should be considered strictly.

Chronic kidney disease as a risk factor for acute stroke

One of the most relevant issues of nephrology, neurology, and cardiology is the management and treatment of patients with chronic kidney disease and stroke. Patients with chronic kidney disease have a risk of both thrombotic complications and bleeding, and they have a high risk of both ischemic and hemorrhagic stroke. Chronic kidney disease significantly worsens the outcome of stroke by limiting the treatment due to reduced drug clearance and side effects. Hemodialysis which causes drastic hemodynamic and biochemical changes leads to the "stress" of the cerebral vascular system, increasing the risk of stroke; kidney transplantation reduces the risk of stroke due to functional recovery. Chronic kidney disease and stroke have significant socio-economic consequences. Patients with end-stage chronic kidney disease, as a rule, are not included in clinical trials; and stroke treatment tactics have not been developed for them. This review examines the interaction between kidneys and brain, the pathophysiology and epidemiology of stroke in all stages of chronic kidney disease, after kidney transplantation and discusses the management and treatment of chronic kidney disease patients with stroke.

The investigation of the factors responsible for the high prevalence of brain lesions in chronic kidney disease will allow developing new treatment methods.

Recent advances and perspectives of postoperative neurological disorders in the elderly surgical patients

Postoperative neurological disorders, including postoperative delirium (POD), postoperative cognitive dysfunction (POCD), postoperative covert ischemic stroke, and hemorrhagic stroke, are challenging clinical problems in the emerging aged surgical population. These disorders can deteriorate functional outcomes and long‐term quality of life after surgery, resulting in a substantial social and financial burden to the family and society. Understanding predisposing and precipitating factors may promote individualized preventive treatment for each disorder, as several risk factors are modifiable. Besides prevention, timely identification and treatment of etiologies and symptoms can contribute to better recovery from postoperative neurological disorders and lower risk of long‐term cognitive impairment, disability, and even death. Herein, we summarize the diagnosis, risk factors, prevention, and treatment of these postoperative complications, with emphasis on recent advances and perspectives.