Oxidative markers in spontaneous intracerebral hemorrhage: leukocyte 8-hydroxy-2′-deoxyguanosine as an independent predictor of the 30-day outcome

2011 ◽  
Vol 115 (6) ◽  
pp. 1184-1190 ◽  
Author(s):  
Yi-Chun Chen ◽  
Chiung-Mei Chen ◽  
Jun-Liang Liu ◽  
Sien-Tsong Chen ◽  
Mei-Ling Cheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Vitamin E ◽  
Vitamin A ◽  
Intracerebral Hemorrhage ◽  
Redox Status ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Oxidative Markers ◽  
Traditional Risk Factors ◽  
Gpx Activity

Object Oxidative stress may play a role in spontaneous intracerebral hemorrhage (ICH), but data on oxidative burden in cerebral hemorrhage are limited, and it is not clear whether oxidative markers add predictive power regarding ICH outcome beyond that of traditional factors. The authors therefore examined redox status and traditional factors in ICH patients within 3 days of hemorrhage onset to delineate redox status in ICH and investigate the predictive value with respect to 30-day functional outcome. Methods Sixty-four patients with ICH and 114 controls were prospectively enrolled in this study. Blood samples were collected within 3 days of ICH onset and processed for isolation of plasma, erythrocytes, and leukocytes. The authors evaluated levels or activities of leukocyte 8-hydroxy-2′-deoxyguanosine (8-OHdG), erythrocyte glucose-6-phosphate dehydrogenase (G6PD), erythrocyte glutathione peroxidase (GPx), plasma malondialdehyde (MDA), vitamin E, and vitamin A, as well as traditional factors including the presence of hypertension or diabetes mellitus, total cholesterol level, and measures of liver function. A general linear model and multivariable logistic regression were used for analyses where appropriate. Results After adjustment for age and sex and traditional risk factors, ICH was significantly associated with an increased level of 8-OHdG (p < 0.0001), decreased GPx activity (p = 0.0002), and a decreased level of vitamin E (p = 0.003). There was no association of ICH risk with G6PD activity or MDA or vitamin A level. Considering all the oxidative markers and traditional risk factors together, logistic regression showed an independent association of ICH with 8-OHdG (OR 2.7, 95% CI 1.7–4.2, p < 0.0001). The association between increased 8-OHdG level and lower 30-day Barthel Index was also independent of the effects of age, sex, hemorrhage location and size, and traditional factors (p = 0.026). Unfavorable outcome (modified Rankin Scale score ≥ 3) at 30 days after ICH onset was not significantly associated with any of the examined oxidative markers. Conclusions Increased leukocyte 8-OHdG levels, as well as decreased GPx activity and vitamin E levels, were found during acute ICH. Only 8-OHdG was associated with ICH and the 30-day outcome independently from the other oxidative markers and traditional factors. Leukocyte 8-OHdG may add power beyond the traditional factors in predicting ICH outcome and thus may be used as an independent surrogate for clinical ICH study.

scholarly journals Associations of Clinical Characteristics and Etiology With Death in Hospitalized Chinese Children After Spontaneous Intracerebral Hemorrhage: A Single-Center, Retrospective Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaoyan Huang ◽  
Zicheng Cheng ◽  
Ye Xu ◽  
Lingfan Xia ◽  
Zhenxiang Zhan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Surgical Treatment ◽  
Intracerebral Hemorrhage ◽  
Arteriovenous Malformation ◽  
Lower Risk ◽  
Clinical Characteristics ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Multivariate Logistic Regression ◽  
Risk Of Mortality

Objective: We retrospectively analyzed clinical characteristics, etiology, and mortality risk factors in pediatric cases of non-traumatic spontaneous intracerebral hemorrhage.Methods: This study involved children between 29 days and 18 years old with confirmed spontaneous intracerebral hemorrhage based on head CT or MRI at the Second Affiliated Hospital of Wenzhou Medical University and Yuying Children's Hospital from January 2008 to March 2020. Demographic and clinical characteristics, etiology, imaging, and treatment data were collected at baseline. Potential risk factors of in-hospital death were identified using univariate analysis and multivariate logistic regression.Result: A total of 200 children (126 males, median age 5 years) were included in the study. Clinical symptoms of spontaneous intracerebral hemorrhage were typically non-specific (79.5%). One third of patients (31.1%) had a Glasgow Coma Scale score (GCS) ≤ 8, and nearly two-thirds (60.5%) showed a combination of ventricular hemorrhage or subarachnoid hemorrhage. Supratentorial hemorrhage was more common. Cerebrovascular disease (37.0%) and hematological disease (33.5%) were the most frequent etiologies of spontaneous intracerebral hemorrhage. Most patients (74.5%) received non-surgical treatment, while 25.5% received surgical treatment. After an average of 12 days of treatment, 167 children (83.5%) survived and 33 (16.5%) died. Multivariate logistic regression showed herniation syndrome, and low GCS (≤ 8) to be associated with increased risk of mortality, while hemorrhage due to arteriovenous malformation was associated with lower risk of mortality.Conclusion: Our data suggest that cerebrovascular disease is the most common cause of spontaneous intracerebral hemorrhage among children, and that arteriovenous malformation is associated with lower risk of death in hospital. Conversely, the presence of herniation syndrome, low GCS (≤ 8) increase risk of in-hospital mortality. Our results underscore the importance of timely imaging and supplementary examinations in cases of suspected spontaneous intracerebral hemorrhage.

scholarly journals Machine Learning-Based Approaches for Prediction of Patients’ Functional Outcome and Mortality after Spontaneous Intracerebral Hemorrhage

2022 ◽  
Vol 12 (1) ◽  
pp. 112
Author(s):  
Rui Guo ◽  
Renjie Zhang ◽  
Ran Liu ◽  
Yi Liu ◽  
Hao Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Laboratory Data ◽  
Predictive Performance ◽  
High Morbidity ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Receiver Operating Characteristic Curves ◽  
Ich Score

Spontaneous intracerebral hemorrhage (SICH) has been common in China with high morbidity and mortality rates. This study aims to develop a machine learning (ML)-based predictive model for the 90-day evaluation after SICH. We retrospectively reviewed 751 patients with SICH diagnosis and analyzed clinical, radiographic, and laboratory data. A modified Rankin scale (mRS) of 0–2 was defined as a favorable functional outcome, while an mRS of 3–6 was defined as an unfavorable functional outcome. We evaluated 90-day functional outcome and mortality to develop six ML-based predictive models and compared their efficacy with a traditional risk stratification scale, the intracerebral hemorrhage (ICH) score. The predictive performance was evaluated by the areas under the receiver operating characteristic curves (AUC). A total of 553 patients (73.6%) reached the functional outcome at the 3rd month, with the 90-day mortality rate of 10.2%. Logistic regression (LR) and logistic regression CV (LRCV) showed the best predictive performance for functional outcome (AUC = 0.890 and 0.887, respectively), and category boosting presented the best predictive performance for the mortality (AUC = 0.841). Therefore, ML might be of potential assistance in the prediction of the prognosis of SICH.

Risk Factors for Spontaneous Intracerebral Hemorrhage

Stroke ◽  
1995 ◽  
Vol 26 (9) ◽  
pp. 1558-1564 ◽  
Author(s):  
Seppo Juvela ◽  
Matti Hillbom ◽  
Heikki Palomäki
Keyword(s):  
Risk Factors ◽  
Intracerebral Hemorrhage ◽  
Spontaneous Intracerebral Hemorrhage

Intracerebral Hemorrhage and Epileptic Seizures: Frequency, Localization and Seizures Types

2017 ◽  
Vol 71 (2) ◽  
pp. 119-122
Author(s):  
Dragana Petrovska Cvetkovska ◽  
Arben Taravari ◽  
Natalija Dolnenec Baneva ◽  
Dijana Nikodijevik ◽  
Coskun Kerala ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intracerebral Hemorrhage ◽  
Arterial Hypertension ◽  
Computer Tomography ◽  
Large Volume ◽  
Epileptic Seizures ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Generalized Seizures ◽  
Study Population ◽  
Cortical Involvement

Abstract Introduction. Among 2.8-18.7% of the patients that suffered from spontaneous intracerebral hemorrhage (ICH) develop seizures. Previous studies suggest that most important contributors to developing subsequent seizures are: volume and localization of hematoma, cortical involvement and age. Aims: To determine the occurrence of new epileptic seizures in patients with spontaneous intracerebral hemorrhage and to analyze it with respect to the patient’s age, gender, presence of premorbid risk factors, localization of the hematoma and the type of the seizures. Methods. This study is retrospective in design, with study population of 308 patients with spontaneous intracerebral hemorrhage admitted to our clinic in the period between 2008 and 2014. Analyzed premorbid risk factors for ICH are: hypertension, smoking, alcohol uptake. According to the computer tomography (CT) of brain findings the patients was divided in two groups: lobar and thalamic (deep). By the time of presents of seizures, they were classified as early (within 1 week of ICH) or late (more than 1 week after ICH). Also we analyzed the seizures type and we divided them in four groups: simple partial, partial complex, secondary generalized and tonic clonic generalized seizures. Results. Arterial hypertension was revealed in 78% of the patients with spontaneous supratentorial ICH. Epileptic seizures developed in 8.2% of analyzed patients, most of them in the first week of brain bleeding. Lobar ICH had 78.6% of the patients, with frontal localization was 44% of patients with lobar ICH, and most of them had simple partial and partial complex seizures. Conclusion. Cortical involvement, large volume of hematoma, may be a factor for provoked seizures, especially in the first days of brain bleeding.

Multivariate analysis of risk factors of hematoma expansion in spontaneous intracerebral hemorrhage

2008 ◽  
Vol 69 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Jae Kwan Lim ◽  
Hyung Sik Hwang ◽  
Byung Moon Cho ◽  
Ho Kook Lee ◽  
Sung Ki Ahn ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Intracerebral Hemorrhage ◽  
Hematoma Expansion ◽  
Spontaneous Intracerebral Hemorrhage

scholarly journals Cardiovascular Risk Factors in Pre-dialysis Chronic Kidney Disease patients of Nepal

2020 ◽  
Vol 9 (2) ◽  
pp. 47-53
Author(s):  
Kashyap Dahal ◽  
A. Baral ◽  
K.K. Sah ◽  
J.R. Shrestha ◽  
A. Niraula ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Kidney Disease ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Traditional Risk Factors

Background and Aims: Cardiovascular disease (CVD) is the commonest cause of morbidity and mortality in patients with chronic kidney disease (CKD) due to increased prevalence of traditional and nontraditional CVD risk factors. Our study aimed to evaluate these risk factors in pre-dialysis Nepalese CKD patients. Methods: This was a cross-sectional study conducted in Department of Nephrology, Bir hospital. Total 100 consecutive pre-dialysis CKD patients were enrolled. Ten traditional and six nontraditional CVD risk factors were analyzed and compared between CKD stages. Descriptive statistics was used to illustrate the socio-demographic and clinical characteristics, chi square test for categorical variables and multiple logistic regression analysis was done to determine the risk factors of CVD in CKD patients. p-value<0.05 was considered to be statistically significant. Results: Mean patient age was 52.03}13.64 years with majority (60%) of the patients being male. Comparison of traditional risk factors in different stages depicted similar trend except for old age in Stage 3 CKD (p=0.002). Anemia (p<0.001), hyperphosphatemia (p=0.01), hyperparathyroidism (p<0.01) and cumulative nontraditional risk factors were significantly higher (p=0.01) in stage 5 CKD. The predicted CVD events by Framingham risk score showed high risk in 37% with no significant difference among the stages. Multiple logistic regression analysis showed increased body mass index, low serum albumin and increased serum phosphate as the three significant predictors for left ventricular hypertrophy. Conclusion: Our study shows that the CVD risk factors were prevailing along the various stages of CKD. The occurrence of non-traditional risk factors increased with increasing stage of CKD.

scholarly journals Association Between Alkaline Phosphatase and Clinical Outcomes in Patients With Spontaneous Intracerebral Hemorrhage

2021 ◽  
Vol 12 ◽  
Author(s):  
Sijia Li ◽  
Wenjuan Wang ◽  
Qian Zhang ◽  
Yu Wang ◽  
Anxin Wang ◽  
...  
Keyword(s):  
Alkaline Phosphatase ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Clinical Outcomes ◽  
Functional Outcomes ◽  
Adverse Outcomes ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Mortality And Morbidity ◽  
The Third ◽  
Increased Risk

Background: Spontaneous intracerebral hemorrhage (ICH) is associated with high rates of mortality and morbidity. Alkaline phosphatase (ALP) is related to increased risk of cardiovascular events and is also closely associated with adverse outcomes after ischemic or hemorrhagic stroke. However, there are limited data about the effect of ALP on clinical outcomes after ICH. Therefore, we aimed to investigate the relationship between serum ALP level and prognosis in ICH patients.Methods: From January 2014 to September 2016, 939 patients with spontaneous ICH were enrolled in our study from 13 hospitals in Beijing. Patients were categorized into four groups based on the ALP quartiles (Q1, Q2, Q3, Q4). The main outcomes were 30-day, 90-day, and 1-year poor functional outcomes (modified Rankin Scale score of 3–6). Multivariable logistic regression and interaction analyses were performed to evaluate the relationships between ALP and clinical outcomes after ICH.Results: In the logistic regression analysis, compared with the third quartile of ALP, the adjusted odds ratios of the Q1, Q2, and Q4 for 30-day poor functional outcome were 1.31 (0.80–2.15), 1.16 (0.71–1.89), and 2.16 (1.32–3.55). In terms of 90-day and 1-year poor functional outcomes, the risks were significantly higher in the highest quartile of ALP compared with the third quartile after adjusting the confounding factors [90-day: highest quartile OR = 1.86 (1.12–3.10); 1-year: highest quartile OR = 2.26 (1.34–3.80)]. Moreover, there was no significant interaction between ALP and variables like age or sex.Conclusions: High ALP level (&gt;94.8 U/L) was independently associated with 30-day, 90-day, and 1-year poor functional outcomes in ICH patients. Serum ALP might serve as a predictor for poor functional outcomes after ICH onset.

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