scholarly journals Serum Albumin Is Negatively Associated with Hemorrhagic Transformation in Acute Ischemic Stroke Patients

2019 ◽  
Vol 47 (1-2) ◽  
pp. 88-94 ◽  
Author(s):  
Changyi Wang ◽  
Linghui Deng ◽  
Shi Qiu ◽  
Haiyang Bian ◽  
Lu Wang ◽  
...  

Background and Objective: Hemorrhagic transformation (HT) is a major complication of acute ischemic stroke (AIS). Serum albumin is known for its neuroprotective effects and is a marker of improved AIS patient outcomes. However, it is not known whether there is a relationship between serum albumin and HT. Methods: AIS patients admitted to the Department of Neurology of West China Hospital from 2012 to 2016 were prospectively and consecutively enrolled. Baseline characteristics were collected. HT during hospitalization was diagnosed by brain imaging. Multivariate logistic regression analysis was performed to determine the relationship between serum albumin and HT. Confounding factors were identified by univariate analysis. Stratified logistic regression analysis was performed to identify effect modifiers. Results: A total of 1996 AIS patients were recruited, of whom 135 (6.8%) developed HT. Serum albumin negatively correlated with HT. Patients in the upper serum albumin tertile (42.6–54.1 g/L) had a 46% lower risk of HT than patients in the lower tertile (19.3–39.1 g/L) after adjustment for potential confounders (OR 0.54, 95% CI 0.29–0.99, p = 0.04). Risk of HT decreased stepwise with higher serum albumin tertile (p for trend = 0.04). There was a significant interaction between serum albumin and age (p = 0.02), with no significant correlation between serum albumin and HT in patients over 60 years of age. Conclusions: Higher serum albumin is associated with lower HT risk in a dose-dependent manner in AIS patients younger than 60 years.

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Seong-Joon Lee ◽  
Yang-Ha Hwang ◽  
Ji Man Hong ◽  
Jin Wook Choi ◽  
Dong-Hun Kang ◽  
...  

Introduction: Given the recent positive endovascular therapy trials for acute ischemic stroke (AIS), this therapeutic strategy is now being increasingly incorporated into routine clinical practice. Identifying prognostic factors among AIS patients receiving endovascular revascularization treatments (ERT) in the real world could be important for clinicians and patients. While the impact of diabetes mellitus (DM) on IV thrombolytic outcomes after AIS has been extensively investigated, there is a paucity of data assessing effects of DM on ERT outcomes after AIS. We evaluated the impact of comorbid DM on ERT for AIS. Methods: From Jan 2011 to Feb 2016, patients with AIS who underwent ERT for cervicocephalic occlusions were consecutively enrolled into the Acute Stroke due to Intracranial Atherosclerotic occlusion and Neurointervention - Korean Retrospective (ASIAN KR) registry from 3 hospitals. Patients were excluded if onset to puncture time over 8 hours, in-hospital stroke, or unavailable 3-month mRS. DM was diagnosed if a patient had the history, or hemoglobin A1c on admission was over 6.5. Univariate analysis was performed to compare the characteristics between DM and non-DM population. Multiple logistic regression analysis was used to validate the effect of comorbid DM on 3 month outcomes. Results: Of 721 patients, 667 (93%) were finally included, with 233 DM patients and 434 non-DM patients. In the univariate analysis, comorbidity with hypertension (71.2% vs. 58.3%, p=0.001) and dyslipidemia (36.7% vs. 26.7%, p=0.012) were more frequent in the DM population. Periprocedural factors such as target vessels, intravenous thrombolysis, and final reperfusion grades did not differ. Good outcomes with mRS 0-2 were less frequent in the DM population (43.3% vs. 53.7%, p=0.011). In the logistic regression analysis adjusting age, male sex, initial NIHSS, premorbid mRS, hypertension history, atrial fibrillation, intravenous thrombolysis, onset to puncture time and successful reperfusion, DM was an independent predictor of poor outcomes (mRS 3-6; 1.933, 1.274-2.933, p=0.002). Conclusion: In patients receiving ERT for AIS due to cervicocephalic artery occlusions, the presence of DM as a comorbidity confers greater odds of a poor functional outcome.


2020 ◽  
Author(s):  
Shiyuan Gu ◽  
Zhengze Dai ◽  
Huachao Shen ◽  
Yongjie Bai ◽  
Xiaohao Zhang ◽  
...  

ABSTRACTBackgroundSocial distance, quarantine, pathogen testing and other preventive strategies implemented during COVID-19 pandemic may negatively influence the management of acute stroke.ObjectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of acute stroke in China.MethodsThis study included patients with acute stroke admitted in two hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 epidemic outbreak (January 31, 2020, as officially announced by Chinese government) were compared for pre- (measured as onset-to-door time) and post-hospital delay (measured as door-to-needle time). The influence factors for delayed treatment (indicated as onset-to-needle time >4.5 hours) were analyzed with multivariate logistic regression analysis.ResultsOnset-to-door time increased from 202 min (IQR 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (P=0.001). Door-to-needle time increased from 50min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (P=0.048). The proportion of patients with intravenous thrombolysis in those with acute ischemic stroke was decreased significantly after the pandemic (15.4% vs 20.1%; P=0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms and transported by other means than ambulance were associated with delayed treatment.ConclusionsCOVID-19 pandemic has remarkable impacts on the management of acute ischemic stroke. Both pre- and post-hospital delays were prolonged significantly, and proportion of patient arrived within the 4.5-hour time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Sara Fernandes ◽  
Beatriz Donato ◽  
Adriana Paixão Fernandes ◽  
Luís Falcão ◽  
Mário Raimundo ◽  
...  

Abstract Background and Aims Anemia is a well-know complication of Chronic Kidney Disease (CKD) and it seems to contribute for deterioration of kidney function. Experimental data suggest that anemia produces hypoxia of tubular cells which leads to tubulointerstitial damage resulting on CKD progression. Other mechanism described is that red blood cells have antioxidant properties that prevent the damage of tubulointerstitial cells and glomerulosclerosis from oxidative stress. There aren’t many observational studies that evaluated the association between anemia and progression of CKD. Therefore, our aim was to evaluate the association of anemia and CKD progression and its association outcomes in an outpatient ND-CKD population. Method We conduct a retrospective, patient-level, cohort analysis of all adult ND-CKD patients evaluated in an outpatient nephrology clinic over a 6 years period. The follow up time was at least 12 months. Anemia was defined according to the WHO definition (hemoglobin [hb] < 13.0 g/dL in men and 12.0 g/dL in women). Progression of CKD was defined by one of the following criteria: decline in eGFR (CKD-EPI) superior to 5 ml/min/1.73 m2/year; duplication of serum creatinine or the need renal replacement therapy. Demographics and clinical data were also accessed. Results Out of 3008 patients referred to the nephrology clinic, 49.9% had anemia (mean age 71.9±15.9 years; 50.4% male; 92% white; mean follow-up time of 2.3±1.2 years). The mean Hb was 11.8 ±1.9 g/dL. Important cardiovascular comorbidities in patients with anemia were arterial hypertension (86.7%), obesity (65.5%), Diabetes Mellitus (DM) (52%) and dyslipidemia (46%). In univariate analysis, mortality was associated with anemia (36.9 vs 13.0%, p<0.001), obesity (30.1 vs 21.8%, p<0.001) and DM (30.1 vs 21.1%, p<0.001). Of the patients with anemia, 738 met the criteria for CKD progression. In univariate analysis, CKD progression was associated with anemia (49.6 vs 43.9%, p=0.002), male gender (49.5 vs 43.6% p= 0.001); DM (49.6 vs 44.8 % p=0.009) and hypertension (47.9 vs 42.3% p=0.0018). In multivariate logistic regression analysis, anemia emerged was an independent predictor of CKD progression (OR 1.435, CI 95% 1.21-1.71, p<0,001). Comparing hb values intervals (hb ≤10g/dl; hb10-12 g/dL; hb ≥12 g/dL), in the multivariate logistic regression analysis, hb ≤10g/dl was not associated with CKD progression and hb value between 10-12 g/dL was associated (OR 1,486, CI 95% 1.23-1.80, p<0,001), when compared with the group with hb ≥12g/dL. In multivariate logistic regression analysis, the independent predictors of mortality were: older age (OR per 1 year increase: 1.048, 95% CI 95% 1.04-1.06, p<0.001); arterial hypertension (OR 0.699 CI 95% 0.51-0.96, p=0.0029); obesity (OR 0.741, CI 95% 0.60-0.91, p=0.004) and hb value (OR per 1 g/dL decrease: 1.301, CI 95% 1.23-1.38, p<0.001). Cardiovascular events were correlated with Hb levels between 10-12 g/dL (univariate analysis: OR 2.021, CI 95% 1.27-3.22, P=0.003), but not with the group with hb≤10 g/dL (univariate analysis: OR 1.837, CI 95% 0.96-3.51, P=0.066), having the group with hb ≥12g/dL was reference. Anemia was strongly associated with hospitalizations (multivariate logistic regression analysis: OR per 1 g/dL of Hb decrease: 1.256 CI 95% 1.12-1.32 p<0.001), and this strong association was also observed on the groups with hb hb≤10 g/dL (multivariate logistic regression analysis: OR 3.591 CI 95% 32.67-4.84 p<0.001) and between 10-12 g/dL (multivariate logistic regression analysis: OR 1.678 CI 95% 1.40-2.02, p<0.001) Conclusion Our study suggests that anemia, at first consultation, increases the risk for rapid CKD progression and global mortality. This study could guide us on the development of futures studies in order to prove if anemia correction can slow the progression of CKD.


2019 ◽  
Vol 25 ◽  
pp. 107602961986690 ◽  
Author(s):  
Yuqing Deng ◽  
Zhiqing Chen ◽  
Lili Hu ◽  
Zhenyan Xu ◽  
Jinzhu Hu ◽  
...  

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yisen Zhang ◽  
Chao Wang ◽  
Zhongbin Tian ◽  
Wei Zhu ◽  
Wenqiang Li ◽  
...  

Abstract Background The aim of this study was to comprehensively evaluate the risk factors of periprocedural ischemic stroke associated with endovascular treatment of intracranial aneurysms using a real-world database. Methods From August 2016 to March 2017, 167 patients were enrolled. Univariate analysis and multivariate logistic regression analysis were used to examine the risk factors for periprocedural ischemic stroke. Results Among the 167 cases, periprocedural ischemic stroke occurred in 20 cases (11.98%). After univariate analysis, the ischemic group had a higher proportion of large (≥ 10 mm) aneurysms than the control group (45.0% vs. 23.1%, p = 0.036). The incidence of periprocedural ischemic stroke was higher in cases treated by flow diverter (21.6%) or stent-assisted coiling (11.8%) than in cases treated by coiling only (2.7%), and the differences were statistically significant (p = 0.043). After multivariate logistic regression analysis, treatment modality was the independent risk factor for periprocedural ischemic stroke. Compared with the coiling-only procedure, flow diverter therapy was associated with a significantly higher rate of periprocedural ischemic stroke (OR 9.931; 95% CI 1.174–84.038; p = 0.035). Conclusions Aneurysm size and treatment modality were associated with periprocedural ischemic stroke. Larger aneurysms were associated with increased risk of periprocedural ischemic stroke. Flow diverter therapy was associated with significantly more periprocedural ischemic stroke than the coiling procedure alone.


2021 ◽  
Vol 27 ◽  
pp. 107602962110379
Author(s):  
Xiao Li ◽  
Shu-Ling Hou ◽  
Xi Li ◽  
Li Li ◽  
Ke Lian ◽  
...  

This study investigated the risk factors of thromboembolism (TE) in lymphoma patients undergoing chemotherapy and its clinical significance. A total of 304 lymphoma patients who received chemotherapy from January 2012 to July 2019 were retrospectively analyzed, including 111 patients with and 193 patients without TE. The clinical characteristics and related laboratory test results were compared between the 2 groups using univariate analysis, while the risk factors for TE in lymphoma patients undergoing chemotherapy were analyzed using multivariate logistic regression analysis. Univariate analysis revealed an increase in the risk of TE among lymphoma patients with chemotherapy in the following categories: female patients, patients with body mass index <18.5 or > 24, patients aged ≥60 years, those with platelet abnormality before chemotherapy, single hospital-stay patients, and Ann Arbor stage III/IV patients. Multivariate logistic regression analysis revealed that for platelet count abnormality before chemotherapy, Ann Arbor stage III/IV and female patients represented independent risk factors for TE among lymphoma patients after chemotherapy ( P < .05). For lymphoma patients treated with chemotherapy, the risk of TE occurring in women, patients with platelet abnormalities before chemotherapy, and patients at Ann Arbor stage III/IV was significantly higher compared with other patients. For these patients, we recommend prophylactic anticoagulant therapy.


2020 ◽  
Vol 17 (1) ◽  
pp. 3-10
Author(s):  
Changyi Wang ◽  
Lu Wang ◽  
Linghui Deng ◽  
Shi Qiu ◽  
Shihong Zhang ◽  
...  

Background: Hemorrhagic transformation (HT) is a frequent complication of acute ischemic stroke (AIS). Mean platelet volume (MPV) is a marker of platelet function. The relationship between MPV and HT remains unclear. Methods: From January 1st, 2012 to December 31st 2016, we consecutively enrolled AIS patients admitted to the Department of Neurology of West China Hospital. MPV was measured on admission. HT was diagnosed by brain imaging and classified into hemorrhagic infarct (HI) and parenchymal hematoma (PH). Moreover, subjects were divided into tertiles according to MPV levels. Confounders were identified by univariate analysis and multivariate logistic regression was performed to explore the association between MPV and HT as well as HT subtypes. Also, a generalized additive model was used to investigate whether a non-linear association existed between MPV and HT. Results: A total of 783 AIS patients were included. 63 patients (8.0%) developed HT: 34 (4.3%) HI and 29 (3.7%) PH. It was observed that MPV positively correlated with HT. After adjustment for confounders, patients in the highest MPV tertile had a significantly increased risk of HT compared to patients in the lowest tertile (odds ratio 2.3, 95% confidence interval 1.0-5.4, P=0.04). The risk of HT increased step-wise across MPV tertiles (P for trend=0.04). MPV tertiles significantly correlated with HI rather than PH. The generalized additive model demonstrated a nonlinear association between MPV and HT (P=0.02). Conclusion: The risk of HT increased with increasing MPV level in a dose-dependent manner. Patients with elevated MPV levels were more likely to develop HI rather than PH.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takashi Shimoyama ◽  
Sibaji Gaj ◽  
Kunio Nakamura ◽  
Shivakrishna Kovi ◽  
Ken Uchino

Background and Purpose: Intracranial arterial calcification is a marker of atherosclerosis burden in the general population. The aim of the study is to investigate risk factor profiles of vascular calcification in ischemic stroke patients. Methods: We identified ischemic stroke patients who underwent complete CTA from a prospective single-hospital stroke registry in 2018. Automatic artery and calcification segmentation method measured calcification volumes in the intracranial, extracranial, and aortic arteries using deep-learning U-net model and region-grow algorithms. Severe vascular calcification was defined as patients in the upper quartile calcification volume. The prevalence of severe vascular calcification and mean calcification volume were investigated by age category (<60 years, 60-70 years, 70-80 years, 80 years ≥). The relation between each potential risk factors and severe vascular calcification was assessed using the multivariate logistic regression analysis adjusted for age, sex, NIHSS score, and TOAST stroke subtypes. Results: Of the 558 consecutive acute ischemic stroke patients, 388 patients (212 males; mean age 66.6±14.2 years) met inclusion and with quantitative CTA calcification. The prevalence of severe vascular calcification (CTA calcification volume> 812 mm 3 ) increased with increasing age category (<60 years: 6.8% (7/103), 60-70 years: 15.7% (18/115), 70-80 years: 39.6% (38/105), 80 years ≥: 45.9% (34/74), P<0.001 for χ 2 test). Over age 80 years subsets had significantly higher mean calcification volume with 1213 mm 3 than other age category (<60 years: 225 mm 3 , P<0.001; 60-70 years: 462 mm 3 , P<0.001; 70-79 years: 817 mm 3 , P=0.020 for t-test). In the multivariate logistic regression analysis, age (OR 1.096, 95% CI 1.066-1.128, P<0.001), smoking (OR 3.430, 95% CI 1.833-6.419, P<0.001), and large artery atherosclerosis (LAA) (OR 4.260, 95% CI 1.963-9.247, P<0.001) were independently associated with severe vascular calcification. Conclusion: In the quantitative CTA analysis of calcification volume, older age and smoking were high risk for severe atherosclerotic calcium burden in ischemic stroke patients. Moreover, severe vascular calcification may differentiate LAA from other stroke etiology.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ahmed Esmael ◽  
Mohammed Elsherief ◽  
Khaled Eltoukhy

Objectives. This study is aimed at correlating ASPECTS with mortality and morbidity in patients with acute middle cerebral artery territory infarction and at determining the cutoff value of ASPECTS that may predict the outcome. Methods. 150 patients diagnosed with acute middle cerebral artery territory infarction were involved in this study. Risk factors, initial NIHSS, and GCS were determined. An initial or follow-up noncontrast CT brain was done and assessed by ASPECTS. Outcomes were determined by mRS during the follow-up of cases after 3 months. Correlations of ASPECTS and outcome variables were done by Spearman correlation. Logistic regression analysis and ROC curve were done to detect the cutoff value of ASPECTS that predicts unfavorable outcomes. Results. The most common subtypes of ischemic strokes were lacunar stroke in 66 patients (44%), cardioembolic stroke in 39 patients (26%), and LAA stroke in 30 cases (20%). The cardioembolic stroke had a statistically significant lower ASPECT score than other types of ischemic strokes ( P < 0.05 ). Spearman correlation showed that lower ASPECTS values (worse outcome) were more in older patients and associated with lower initial GCS. ASPECTS values were inversely correlated with initial NIHSS, inpatient stay, inpatient complications, mortality, and mRS. The ASPECTS cutoff value determined for the prediction of unfavorable outcomes was equal to ≤7. The binary logistic regression analysis detected that patients with ASPECTS ≤ 7 were significantly associated with about fourfold increased risk of poor outcomes (OR 3.95, 95% CI 2.09–11.38, and P < 0.01 ). Conclusions. ASPECTS is a valuable and appropriate technique for the evaluation of the prognosis in acute ischemic stroke. Patients with high ASPECTS values are more likely to attain favorable outcomes, and the cutoff value of ASPECTS is a strong predictor for unfavorable outcomes. This trial is registered with ClinicalTrials.gov NCT04235920.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xifeng Zheng ◽  
Fang Fang ◽  
Weidong Nong ◽  
Dehui Feng ◽  
Yu Yang

Abstract Objectives This study aimed to construct and validate a prediction model of acute ischemic stroke in geriatric patients with primary hypertension. Methods This retrospective file review collected information on 1367 geriatric patients diagnosed with primary hypertension and with and without acute ischemic stroke between October 2018 and May 2020. The study cohort was randomly divided into a training set and a testing set at a ratio of 70 to 30%. A total of 15 clinical indicators were assessed using the chi-square test and then multivariable logistic regression analysis to develop the prediction model. We employed the area under the curve (AUC) and calibration curves to assess the performance of the model and a nomogram for visualization. Internal verification by bootstrap resampling (1000 times) and external verification with the independent testing set determined the accuracy of the model. Finally, this model was compared with four machine learning algorithms to identify the most effective method for predicting the risk of stroke. Results The prediction model identified six variables (smoking, alcohol abuse, blood pressure management, stroke history, diabetes, and carotid artery stenosis). The AUC was 0.736 in the training set and 0.730 and 0.725 after resampling and in the external verification, respectively. The calibration curve illustrated a close overlap between the predicted and actual diagnosis of stroke in both the training set and testing validation. The multivariable logistic regression analysis and support vector machine with radial basis function kernel were the best models with an AUC of 0.710. Conclusion The prediction model using multiple logistic regression analysis has considerable accuracy and can be visualized in a nomogram, which is convenient for its clinical application.


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