scholarly journals Prediction of Hematoma Expansion in Patients With Intracerebral Hemorrhage Using Thromboelastography With Platelet Mapping: A Prospective Observational Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiuguang He ◽  
You Zhou ◽  
Chang Liu ◽  
Zhongqiu Chen ◽  
Rong Wen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Platelet Function ◽  
Mediation Analysis ◽  
Adenosine Diphosphate ◽  
Hematoma Expansion ◽  
Platelet Response ◽  
Multivariate Logistic Regression ◽  
Roc Curve Analysis

Background and Purpose: The purpose of the study was to evaluate the usefulness of thromboelastography with platelet mapping (TEG-PM) for predicting hematoma expansion (HE) and poor functional outcome in patients with intracerebral hemorrhage (ICH).Methods: Patients with primary ICH who underwent baseline computed tomography (CT) and TEG-PM within 6 h after symptom onset were enrolled in the observational cohort study. We performed univariate and multivariate logistic regression models to assess the association of admission platelet function with HE and functional outcome. In addition, a receiver operating characteristic (ROC) curve analysis investigated the accuracy of platelet function in predicting HE. A mediation analysis was undertaken to determine causal associations among platelet function, HE, and outcome.Results: Of 142 patients, 37 (26.1%) suffered HE. Multivariate logistic regression identified arachidonic acid (AA) and adenosine diphosphate (ADP) inhibition as significant independent predictors of HE. The area under the ROC curves was 0.727 for AA inhibition and 0.721 for ADP inhibition. Optimal threshold for AA inhibition was 41.75% (75.7% sensitivity; 67.6% specificity) and ADP inhibition was 65.8% (73.0% sensitivity; 66.7% specificity). AA and ADP inhibition were also associated with worse 3-month outcomes after adjusting for age, admission Glasgow Coma Scale score, intraventricular hemorrhage, baseline hematoma volume, and hemoglobin. The mediation analysis showed that the effect of higher platelet inhibition with poor outcomes was mediated through HE.Conclusions: These findings suggest that the reduced platelet response to ADP and AA independently predict HE and poor outcome in patients with ICH. Platelet function may represent a modifiable target of ICH treatment.

Black Hole Sign Predicts Poor Outcome in Patients with Intracerebral Hemorrhage

2018 ◽  
Vol 45 (1-2) ◽  
pp. 48-53 ◽  
Author(s):  
Qi Li ◽  
Wen-Song Yang ◽  
Sheng-Li Chen ◽  
Fu-Rong Lv ◽  
Fa-Jin Lv ◽  
...  
Keyword(s):  
Black Hole ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Ct Scan ◽  
Functional Outcome ◽  
Multivariate Logistic Regression Analysis ◽  
Hematoma Expansion ◽  
Poor Functional Outcome ◽  
Poor Outcome ◽  
Prognostic Stratification

Background: In spontaneous intracerebral hemorrhage (ICH), black hole sign has been proposed as a promising imaging marker that predicts hematoma expansion in patients with ICH. The aim of our study was to investigate whether admission CT black hole sign predicts hematoma growth in patients with ICH. Methods: From July 2011 till February 2016, patients with spontaneous ICH who underwent baseline CT scan within 6 h of symptoms onset and follow-up CT scan were recruited into the study. The presence of black hole sign on admission non-enhanced CT was independently assessed by 2 readers. The functional outcome was assessed using the modified Rankin Scale (mRS) at 90 days. Univariate and multivariable logistic regression analyses were performed to assess the association between the presence of the black hole sign and functional outcome. Results: A total of 225 patients (67.6% male, mean age 60.3 years) were included in our study. Black hole sign was identified in 32 of 225 (14.2%) patients on admission CT scan. The multivariate logistic regression analysis demonstrated that age, intraventricular hemorrhage, baseline ICH volume, admission Glasgow Coma Scale score, and presence of black hole sign on baseline CT independently predict poor functional outcome at 90 days. There are significantly more patients with a poor functional outcome (defined as mRS ≥4) among patients with black hole sign than those without (84.4 vs. 32.1%, p < 0.001; OR 8.19, p = 0.001). Conclusions: The CT black hole sign independently predicts poor outcome in patients with ICH. Early identification of black hole sign is useful in prognostic stratification and may serve as a potential therapeutic target for anti-expansion clinical trials.

Satellite Sign: A Poor Outcome Predictor in Intracerebral Hemorrhage

2017 ◽  
Vol 44 (3-4) ◽  
pp. 105-112 ◽  
Author(s):  
Yoshiteru Shimoda ◽  
Satoru Ohtomo ◽  
Hiroaki Arai ◽  
Ken Okada ◽  
Teiji Tominaga
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Multivariate Logistic Regression Analysis ◽  
High Density ◽  
Multivariate Logistic Regression ◽  
Poor Functional Outcome ◽  
Poor Outcome ◽  
Intraventricular Bleeding

Background: The presence of high-density starry dots around the intracerebral hemorrhage (ICH), which we termed as a satellite sign, is occasionally observed in CT. The relationship between ICH with a satellite sign and its functional outcome has not been identified. This study aimed to determine whether the presence of a satellite sign could be an independent prognostic factor for patients with ICH. Methods: Patients with acute spontaneous ICH were retrospectively identified and their initial CT scans were reviewed. A satellite sign was defined as scattered high-density lesions completely separate from the main hemorrhage in at least the single axial slice. Functional outcome was evaluated using the modified Rankin Scale (mRS) at discharge. Poor functional outcome was defined as mRS scores of 3-6. Univariate and multivariate logistic regression analyses were applied to assess the presence of a satellite sign and its association with poor functional outcome. Results: A total of 241 patients with ICH were enrolled in the study. Of these, 98 (40.7%) had a satellite sign. Patients with a satellite sign had a significantly higher rate of poor functional outcome (95.9%) than those without a satellite sign (55.9%, p < 0.0001). Multivariate logistic regression analysis revealed that higher age (OR 1.06; 95% CI 1.03-1.10; p = 0.00016), large hemorrhage size (OR 1.06; 95% CI 1.03-1.11; p = 0.00015), and ICH with a satellite sign (OR 13.5; 95% CI 4.42-53.4; p < 0.0001) were significantly related to poor outcome. A satellite sign was significantly related with higher systolic blood pressure (p = 0.0014), higher diastolic blood pressure (p = 0.0117), shorter activated partial thromboplastin time (p = 0.0427), higher rate of intraventricular bleeding (p < 0.0001), and larger main hemorrhage (p < 0.0001). Conclusions: The presence of a satellite sign in the initial CT scan is associated with a significantly worse functional outcome in ICH patients.

scholarly journals Peak perihemorrhagic edema correlates with functional outcome in intracerebral hemorrhage

Neurology ◽  
2018 ◽  
Vol 90 (12) ◽  
pp. e1005-e1012 ◽  
Author(s):  
Bastian Volbers ◽  
Antje Giede-Jeppe ◽  
Stefan T. Gerner ◽  
Jochen A. Sembill ◽  
Joji B. Kuramatsu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Retrospective Cohort ◽  
Independent Predictor ◽  
Hematoma Expansion ◽  
Factors Influencing ◽  
Multivariable Logistic Regression ◽  
Inflammatory Processes ◽  
Perihemorrhagic Edema

ObjectiveTo evaluate the association of perihemorrhagic edema (PHE) evolution and peak edema extent with day 90 functional outcome in patients with intracerebral hemorrhage (ICH) and identify pathophysiologic factors influencing edema evolution.MethodsThis retrospective cohort study included patients with spontaneous supratentorial ICH between January 2006 and January 2014. ICH and PHE volumes were studied using a validated semiautomatic volumetric algorithm. Multivariable logistic regression and propensity score matching (PSM) accounting for age, ICH volume, and location were used for assessing measures associated with functional outcome and PHE evolution. Clinical outcome on day 90 was assessed using the modified Rankin Scale (0–3 = favorable, 4–6 = poor).ResultsA total of 292 patients were included. Median age was 70 years (interquartile range [IQR] 62–78), median ICH volume on admission 17.7 mL (IQR 7.9–40.2). Besides established factors for functional outcome, i.e., ICH volume and location, age, intraventricular hemorrhage, and NIH Stroke Scale score on admission, multivariable logistic regression revealed peak PHE volume (odds ratio [OR] 0.984 [95% confidence interval (CI) 0.973–0.994]) as an independent predictor of day 90 outcome. Peak PHE volume was independently associated with initial PHE increase up to day 3 (OR 1.060 [95% CI 1.018–1.103]) and neutrophil to lymphocyte ratio on day 6 (OR 1.236 [95% CI 1.034–1.477; PSM cohort, n = 124]). Initial PHE increase (PSM cohort, n = 224) was independently related to hematoma expansion (OR 3.647 [95% CI 1.533–8.679]) and fever burden on days 2–3 (OR 1.456 [95% CI 1.103–1.920]).ConclusionOur findings suggest that peak PHE volume represents an independent predictor of functional outcome after ICH. Inflammatory processes and hematoma expansion seem to be involved in PHE evolution and may represent important treatment targets.

scholarly journals Hematoma Ventricle Distance on Computed Tomography Predicts Poor Outcome in Intracerebral Hemorrhage

2020 ◽  
Vol 14 ◽  
Author(s):  
Lan Deng ◽  
Yun-Dong Zhang ◽  
Jian-Wen Ji ◽  
Wen-Song Yang ◽  
Xiao Wei ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Final Analysis ◽  
Hematoma Expansion ◽  
Youden Index ◽  
Multivariable Logistic Regression Analysis ◽  
Poor Outcome

ObjectiveTo investigate the relationship between hematoma ventricle distance (HVD) and clinical outcome in patients with intracerebral hemorrhage (ICH).MethodsWe prospectively enrolled consecutive patients with ICH in a tertiary academic hospital between July 2011 and April 2018. We retrospectively reviewed images for all patients receiving a computed tomography (CT) within 6 h after onset of symptoms and at least one follow-up CT scan within 36 h. The minimum distance of hematoma border to nearest ventricle was measured as HVD. Youden index was used to evaluate the cutoff of HVD predicting functional outcome. Logistic regression model was used to assess the HVD data and clinical poor outcome (modified Rankin Scale 4–6) at 90 days.ResultsA total of 325 patients were included in our final analysis. The median HVD was 2.4 mm (interquartile range, 0–5.7 mm), and 119 (36.6%) patients had poor functional outcome at 3 months. After adjusting for age, admission Glasgow coma scale, intraventricular hemorrhage, baseline ICH volume, admission systolic blood pressure, blood glucose, hematoma expansion, withdrawal of care, and hypertension, HVD ≤ 2.5 mm was associated with increased odds of clinical poor outcome [odd ratio, 3.59, (95%CI = 1.72–7.50); p = 0.001] in multivariable logistic regression analysis.ConclusionHematoma ventricle distance allows physicians to quickly select and stratify patients in clinical trials and thereby serve as a novel and useful addition to predict ICH prognosis.

scholarly journals Mediation effects of mean Hounsfield unit on relationship between hemoglobin and expansion of intracerebral hemorrhage

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Soo Kim ◽  
Han-Gil Jeong ◽  
Hee-Yun Chae ◽  
Beom Joon Kim ◽  
Jihoon Kang ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Mediation Analysis ◽  
Hounsfield Unit ◽  
Mediation Effect ◽  
Hematoma Expansion ◽  
Hematoma Volume ◽  
Mediation Effects ◽  
Potential Marker ◽  
Baseline Systolic Blood Pressure ◽  
The Mean

AbstractLow hemoglobin levels are known to be associated with hematoma expansion (HE) and poor functional outcome in patients with intracerebral hemorrhage (ICH). However, it is not yet known whether low hemoglobin itself causes HE directly or is merely a confounder. Thus, we investigated the mediation effect of the mean Hounsfield unit (HU) of hematoma on the relationship between low hemoglobin and expansion of ICH. Overall, 232 consecutive patients with ICH who underwent non-contrast computed tomography (NCCT) within 12 h since onset were included. The mean HU and hematoma volume on NCCT were investigated using semi-automated planimetry. HE was defined as an increase in hematoma volume > 33% or 6 mL. The respective associations among the hemoglobin level, mean HU, and HE were analyzed using multivariable regression analysis, adjusting for age, sex, and known HE predictors. Mediation analysis was performed to examine the potential causal association among the three. HE occurred in 34.5% of patients; hemoglobin levels were inversely associated with HE occurrence (adjusted odds ratio, 0.90; p = 0.03). The mean HU of the hematoma was lower in patients with HE than in patients without HE (58.5 ± 3.3 vs. 56.8 ± 3.0; p < 0.01). Hemoglobin levels on admission were linearly related to the mean HU (adjusted β, 0.33; p < 0.01) after adjusting for known HE predictors (time from onset to CT, antithrombotic use, hematoma volume). Causal mediation analysis showed a significant mediation effect of the mean HU on the association between hemoglobin levels and HE (p = 0.04). The proportion of indirect effect through the mean HU among the total effect was 19% (p = 0.05). The mediation effect became nonsignificant in the when the multivariable model was adjusted with additional covariates (baseline systolic blood pressure and hematoma location). The mean HU of the hematoma mediated the association between hemoglobin levels and HE occurrence. Therefore, the mean HU of the hematoma may be a potential marker of impaired hemostasis in patients with ICH.

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.

scholarly journals Outcome of intracerebral hemorrhage associated with different oral anticoagulants

Neurology ◽  
2017 ◽  
Vol 88 (18) ◽  
pp. 1693-1700 ◽  
Author(s):  
Duncan Wilson ◽  
David J. Seiffge ◽  
Christopher Traenka ◽  
Ghazala Basir ◽  
Jan C. Purrucker ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Functional Outcome ◽  
Scale Score ◽  
Vitamin K ◽  
Pooled Analysis ◽  
Vitamin K Antagonist ◽  
Cox Proportional Hazards Model ◽  
Hematoma Expansion ◽  
All Cause Mortality ◽  
International Collaborative

Objective:In an international collaborative multicenter pooled analysis, we compared mortality, functional outcome, intracerebral hemorrhage (ICH) volume, and hematoma expansion (HE) between non–vitamin K antagonist oral anticoagulation–related ICH (NOAC-ICH) and vitamin K antagonist–associated ICH (VKA-ICH).Methods:We compared all-cause mortality within 90 days for NOAC-ICH and VKA-ICH using a Cox proportional hazards model adjusted for age; sex; baseline Glasgow Coma Scale score, ICH location, and log volume; intraventricular hemorrhage volume; and intracranial surgery. We addressed heterogeneity using a shared frailty term. Good functional outcome was defined as discharge modified Rankin Scale score ≤2 and investigated in multivariable logistic regression. ICH volume was measured by ABC/2 or a semiautomated planimetric method. HE was defined as an ICH volume increase >33% or >6 mL from baseline within 72 hours.Results:We included 500 patients (97 NOAC-ICH and 403 VKA-ICH). Median baseline ICH volume was 14.4 mL (interquartile range [IQR] 3.6–38.4) for NOAC-ICH vs 10.6 mL (IQR 4.0–27.9) for VKA-ICH (p = 0.78). We did not find any difference between NOAC-ICH and VKA-ICH for all-cause mortality within 90 days (33% for NOAC-ICH vs 31% for VKA-ICH [p = 0.64]; adjusted Cox hazard ratio (for NOAC-ICH vs VKA-ICH) 0.93 [95% confidence interval (CI) 0.52–1.64] [p = 0.79]), the rate of HE (NOAC-ICH n = 29/48 [40%] vs VKA-ICH n = 93/140 [34%] [p = 0.45]), or functional outcome at hospital discharge (NOAC-ICH vs VKA-ICH odds ratio 0.47; 95% CI 0.18–1.19 [p = 0.11]).Conclusions:In our international collaborative multicenter pooled analysis, baseline ICH volume, hematoma expansion, 90-day mortality, and functional outcome were similar following NOAC-ICH and VKA-ICH.

scholarly journals Endocan, a Risk Factor for Developing Acute Respiratory Distress Syndrome among Severe Pneumonia Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Jun Ying ◽  
Danfei Zhou ◽  
Tongjie Gu ◽  
Jianda Huang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Acute Respiratory Distress Syndrome ◽  
Distress Syndrome ◽  
Multivariate Logistic Regression Analysis ◽  
Severe Pneumonia ◽  
Curve Analysis ◽  
Multivariate Logistic Regression ◽  
Roc Curve Analysis

Background. Severe pneumonia (SP) has been widely accepted as a major cause for acute respiratory distress syndrome (ARDS), and the development of ARDS is significantly associated with increased mortality. This study aimed to identify potential predictors for ARDS development in patients with SP. Methods. Eligible SP patients at admission from January 2013 to June 2017 were prospectively enrolled, and ARDS development within hospital stay was identified. Risk factors for ARDS development in SP patients were analyzed by univariate and multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC) was performed for the predictive value of endocan for ARDS development. Results. A total of 145 SP patients were eventually enrolled into the final analysis, of which 37 developed ARDS during the hospital stay. Our final multivariate logistic regression analysis suggested plasma endocan expression as the only independent risk factor for ARDS development in SP patients (OR: 1.57, 95% CI: 1.14–2.25, P=0.021). ROC curve analysis of plasma endocan resulted in an AUC of 0.754, 95% CI of 0.642–0.866, a cutoff value of 11.6 ng/mL, a sensitivity of 78.7%, and a specificity of 70.3%, respectively (P<0.01). Conclusions. Endocan expression at ICU admission is a reliable predictive factor in predicting ARDS in patients with SP.

Loneliness as a Predictor of Work Disability Onset Among Nondisabled, Working Older Adults in 14 Countries

2019 ◽  
Vol 32 (7-8) ◽  
pp. 554-563 ◽  
Author(s):  
Zachary A. Morris
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Mediation Analysis ◽  
Work Disability ◽  
Multivariate Logistic Regression ◽  
Work Limitations ◽  
Disablement Process ◽  
Health Aging ◽  
Future Work ◽  
The Relationship

Objective: The objective of this study is to examine the relationship between loneliness and work disability and whether depression mediates the hypothesized relationship. Method: We draw on data from the 2013 and 2015 waves of the Survey of Health, Aging, and Retirement in Europe. We limited the sample to adults between the ages of 50 and 65 who were working and without work limitations in 2013, which consisted of 10,154 adults from 14 countries. We apply multivariate logistic regression and a binary mediation analysis with logistic regression to examine predictors of the onset of work disability in 2015. Results: Loneliness was predictive of future work disability onset when adjusting for other factors in the disablement process. Depression partly mediated the longitudinal relationship between loneliness and work disability. Discussion: The results indicate that addressing loneliness could mitigate the risk of depression and, in turn, work disability onset.

scholarly journals Title: Preoperative albumin-to-fibrinogen ratio predicts postoperative pulmonary complications in patients after minimally invasive esophagectomy

2021 ◽  
Author(s):  
Zhang Peng ◽  
Zhao Song
Keyword(s):  
Risk Factors ◽  
Esophageal Cancer ◽  
Logistic Regression ◽  
Roc Curve ◽  
Training Group ◽  
Pulmonary Complications ◽  
Curve Analysis ◽  
Postoperative Pulmonary Complications ◽  
Multivariate Logistic Regression ◽  
Roc Curve Analysis

Abstract Background Postoperative pulmonary complications (PPCs) are the most common postoperative complications in patients with esophageal cancer. Prediction of PPCs by establishing a preoperative physiological function parameter model can help patients make adequate preoperative preparation, reduce treatment costs, and improve prognosis and quality of life. The purpose of this study was to investigate the relationship between albumin-to-fibrinogen ratio (AFR), prognostic nutritional index (PNI), albumin-to-globulin ratio (AGR), neutrophils-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and monocyte-to -lymphocyte ratio (MLR) and other preoperative laboratory tests and PPCs in patients after esophagectomy. Methods Retrospective analysis was performed on total 712 consecutive patients who underwent esophagectomy in the Department of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University from July 2018 to December 2020. Patients were divided into training (535 patients) and validation (177) groups for comparison of baseline data, perioperative indicators, and laboratory examination data. Receiver operating characteristic (ROC) curve analysis was used to evaluate the efficacy, sensitivity and specificity of AFR, and Youden’s index was used to calculate the cut-off values of AFR. Univariate and multivariate logistic regression analyses were used to assess the risk factors for PPCs in training group. Results 112 (20.9%) in training group and 36 (20.3%) in validation group developed PPCs. The AUC value predicted by AFR using ROC curve analysis was 0.817, sensitivity 76.2% and specificity 78.7% in training group while AUC 0.803, sensitivity 69.4% and specificity 85.8%. Multivariate logistic regression analysis showed that smoking index, American Society of Anesthesiologists (ASA), AFR, and recurrent laryngeal nerve palsy were independent risk factors for PPCs. Conclusion Preoperative AFR can effectively predict the occurrence of PPCs in patients with esophageal cancer

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