scholarly journals Impact of co-morbidities on the mortality of patients with status epilepticus and the utility of RCBI score in evaluating the mortality of status epilepticus

2020 ◽  
Author(s):  
Yu Zhang ◽  
Deng Chen ◽  
Li-na Zhu ◽  
ling liu
Keyword(s):  
Status Epilepticus ◽  
Hospital Mortality ◽  
Roc Curve ◽  
Poor Prognosis ◽  
Influential Factors ◽  
Western China ◽  
Convulsive Status Epilepticus ◽  
Roc Curve Analysis ◽  
West China Hospital ◽  
Area Under Roc Curve

Abstract Background: To investigate the influential factors of complications on prognosis of patients with status epilepticus, modify the Complication Burden Index （CBI）into the Rankin CBI（RCBI）, and analyze its practicability in status epilepticus in western China. Method: A total of 396 patients with status epilepticus were studied from December 2016 to January 2019 in West China Hospital. The clinical data were collected, including demographic characteristics, status epilepticus characteristics. Statistical analysis was performed using SPSS 22.0 and MedCalc ROC，and logistic regression was used to analyze the influencing factors of hospitalization death and poor prognosis (GOS scale is 1-3). Results: Of the 396 patients with status epilepticus included in the study, 43 (10.9%) died in hospital and 114 (28.8%) had poor prognosis. Using ROC curve analysis, when RCBI > 3, the area under the ROC curve of hospitalization death was 0.914 , p < 0.0001; When RCBI > 3, the area under ROC curve for poor prognosis was 0.882, p < 0.0001. There were 327 people with convulsive status epilepticus, including 41 deaths. When RCBI>3, the area under the hospital mortality curve was 0.915 (p<0.0001). A total of 100 patients had a poor prognosis. When RCBI>3, the area under the poor prognosis curve was 0.867 (p<0.0001). Conclusions: The hospital mortality rate of patients with status epilepticus is 10.9%. RCBI >3 points had a certain significance for predicting hospitalization death and poor prognosis of status epilepticus. There were no significant differences in RCBI scales for convulsive status epilepticus and non-convulsive status epilepticus.

IN-HOSPITAL MORTALITY OF GENERALIZED CONVULSIVE STATUS EPILEPTICUS: A LARGE US SAMPLE

Neurology ◽  
2008 ◽  
Vol 70 (20) ◽  
pp. 1939-1940 ◽  
Author(s):  
A. O. Rossetti ◽  
G. Logroscino ◽  
M. Z. Koubeissi ◽  
A. Alshekhlee
Keyword(s):  
Status Epilepticus ◽  
Hospital Mortality ◽  
Convulsive Status Epilepticus

scholarly journals Risk factors for malnutrition in refractory convulsive status epilepticus

2020 ◽  
Author(s):  
Yu Zhang ◽  
Deng Chen ◽  
Li-na Zhu ◽  
ling liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Status Epilepticus ◽  
Logistic Regression Model ◽  
Adverse Outcomes ◽  
Convulsive Status Epilepticus ◽  
Common Complication ◽  
West China Hospital ◽  
West China ◽  
The Relationship

Abstract Purpose: To study the risk factors and prognosis of malnutrition in patients with refractory convulsive status epilepticus. Methods: A total of 73 patients with refractory convulsive epileptic status in West China Hospital from January 2017 to May 2019 were collected. All patients met the 2016 International Anti-epileptic Alliance diagnostic criteria for refractory convulsive status epilepticus. A logistic regression model was used to evaluate the risk factors of malnutrition in refractory convulsive status epilepticus. Results: Of the 73 patients with refractory convulsive status epilepticus, 33 (45.21%) suffered from malnutrition during hospitalization, and hospitalization days (OR =1.251; 95% CI: 1.067-1.384; P =0.007), nasal feeding (OR =22.623; 95% CI: 1.091-286.899; P =0.013), and malnutrition on admission (OR =30.760; 95% CI: 1.064-89.797; P =0.046) were risk factors for malnutrition in patients with refractory convulsive status epilepticus. Conclusion: Malnutrition is a common complication during hospitalization in patients with refractory convulsive status epilepticus. Hospitalization days, nasal feeding, and malnutrition at admission are risk factors for malnutrition in patients with refractory convulsive status epilepticus. Further longitudinal studies are needed to identify the relationship between refractory convulsive status epilepticus and adverse outcomes.

scholarly journals Estimated plasma volume status (ePVS) is a predictor for acute myocardial infarction in-hospital mortality: analysis based on MIMIC-III database

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jun Chen ◽  
Jiayi Shen ◽  
Dongsheng Cai ◽  
Tiemin Wei ◽  
Renyi Qian ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Hospital Mortality ◽  
Plasma Volume ◽  
Roc Curve ◽  
Poor Prognosis ◽  
Volume Status ◽  
Kaplan Meier ◽  
High Level ◽  
Mimic Iii

Abstract Background Estimated plasma volume status (ePVS) has been reported that associated with poor prognosis in heart failure patients. However, no researchinvestigated the association of ePVS and prognosis in patients with acute myocardial infarction (AMI). Therefore, we aimed to determine the association between ePVS and in-hospital mortality in AMI patients. Methods and results We extracted AMI patients data from MIMIC-III database. A generalized additive model and logistic regression model were used to demonstrate the association between ePVS levels and in-hospital mortality in AMI patients. Kaplan–Meier survival analysis was used to pooled the in-hospital mortality between the various group. ROC curve analysis were used to assessed the discrimination of ePVS for predicting in-hospital mortality. 1534 eligible subjects (1004 males and 530 females) with an average age of 67.36 ± 0.36 years old were included in our study finally. 136 patients (73 males and 63 females) died in hospital, with the prevalence of in-hospital mortality was 8.9%. The result of the Kaplan–Meier analysis showed that the high-ePVS group (ePVS ≥ 5.28 mL/g) had significant lower survival possibility in-hospital admission compared with the low-ePVS group (ePVS < 5.28 mL/g). In the unadjusted model, high-level of ePVS was associated with higher OR (1.09; 95% CI 1.06–1.12; P < 0.001) compared with low-level of ePVS. After adjusted the vital signs data, laboratory data, and treatment, high-level of ePVS were also associated with increased OR of in-hospital mortality, 1.06 (95% CI 1.03–1.09; P < 0.001), 1.05 (95% CI 1.01–1.08; P = 0.009), 1.04 (95% CI 1.01–1.07; P = 0.023), respectively. The ROC curve indicated that ePVS has acceptable discrimination for predicting in-hospital mortality. The AUC value was found to be 0.667 (95% CI 0.653–0.681). Conclusion Higher ePVS values, calculated simply from Duarte’s formula (based on hemoglobin/hematocrit) was associated with poor prognosis in AMI patients. EPVS is a predictor for predicting in-hospital mortality of AMI, and could help refine risk stratification.

Clinical features of convulsive status epilepticus: a study of 220 cases in western China

2009 ◽  
Vol 16 (4) ◽  
pp. 444-449 ◽  
Author(s):  
L. Chen ◽  
B. Zhou ◽  
J. M. Li ◽  
Y. Zhu ◽  
J. H. Wang ◽  
...  
Keyword(s):  
Status Epilepticus ◽  
Clinical Features ◽  
Western China ◽  
Convulsive Status Epilepticus

scholarly journals Musculoskeletal consequences in cyber-addicted students - Is it really a matter of health? A ROC curve analysis for prioritizing risk factors

2019 ◽  
Author(s):  
Rashid Heidari Moghadam ◽  
Mohammad Babamiri ◽  
Fakhradin Ghasemi ◽  
Mohammad Ebrahim Ghaffari ◽  
Mahdi Razie ◽  
...  
Keyword(s):  
Social Networks ◽  
Neck Pain ◽  
Musculoskeletal Disorders ◽  
Roc Curve ◽  
Online Games ◽  
Roc Curve Analysis ◽  
Chi Square ◽  
High Prevalence ◽  
Area Under Roc Curve ◽  
Near Future

Abstract Background The high prevalence and also multiple consequences of addiction to various online content, including online games and social networks, have become a major challenge. The ability to predict musculoskeletal disorders from this addiction can help reveal in students' health status in the near future. The aim of this study was to determine the prevalence of this addiction and the ability to predict neck pain from this matter in students. Methods This study was carried out among 665 students. Data collection was performed through three questionnaires on problematic use of online games, social networking addiction, and Nordic musculoskeletal disorders. Data were compared with Chi-square and independent T-test, and the logistic regression model was then presented at a significant level of 0.05. Finally, the area under the receiver operating characteristic (ROC) curve and Discriminant analysis with SPSS and STATA software were conducted to clarify associations. Results The prevalence of Internet-related content addiction was 32.8%. The results showed that addiction to social networks and online games can increase the risk of neck disorder. Also 0.58 area under ROC curve depicted the ability to predict neck pain from this addiction. Conclusions In students with internet - related content addiction, neck disorder can be predicted. Given the high prevalence of internet addiction in students, it is essential to take immediate and appropriate interventions to avoid the associated adverse effects such as neck problems.

scholarly journals The correlation of JKAP with risk, severity, inflammation and in-hospital mortality of severe acute pancreatitis

2019 ◽  
Author(s):  
Jing Li ◽  
Min Ming ◽  
Yonghong Han
Keyword(s):  
Acute Pancreatitis ◽  
Hospital Mortality ◽  
Severe Acute Pancreatitis ◽  
Roc Curve ◽  
Sofa Score ◽  
Curve Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Roc Curve Analysis ◽  
Ranson Score

Abstract Background This study aimed to investigate the predictive value of JNK pathway-associated phosphatase (JKAP) level for severe acute pancreatitis (SAP) risk, and its association with disease severity, inflammation and in-hospital mortality in SAP patients. Methods Our study recruited 50 SAP patients, 50 moderate-severe acute pancreatitis (MSAP) patients, 50 mild acute pancreatitis (MAP) patients and 50 healthy controls. And the serum samples were obtained from all acute pancreatitis patients within 24 hours after admission and from health controls at their enrollment to detect JKAP level by enzyme-linked immunosorbent assay. Results JKAP level was decreased in SAP patients compared with healthy controls, MSAP and MAP patients. And receiver operating characteristics (ROC) curve analysis revealed that JKAP could not only distinguish SAP patients from healthy controls (AUC: 0.914, 95%CI: 0.857-0.971), but also differentiate SAP patients from MAP patients (AUC: 0.869, 95%CI: 0.802-0.937) and MSAP patients (AUC: 0.712, 95%CI: 0.610-0.813). In SAP patients, JKAP was negatively correlated with Ranson score, acute physiology and chronic health care evaluation II (APACEH II) score, sequential organ failure assessment (SOFA) score and C-reactive protein (CRP). And lower JKAP level, higher CRP level, Ranson score, APACEH II score and SOFA score were associated with increased in-hospital mortality in SAP patients. Additionally, ROC curve analysis showed that JKAP could predict decreased in-hospital mortality in SAP patients (AUC: 0.720, 95%CI: 0.526-0.914). Conclusions JKAP might serve as a biomarker for disease risk and management for SAP.

scholarly journals The aetiology of convulsive status epilepticus: A study of 258 cases in Western China

Seizure ◽  
2014 ◽  
Vol 23 (9) ◽  
pp. 717-721 ◽  
Author(s):  
Bo Zhou ◽  
Yulan Huang ◽  
Jinyu Wang ◽  
Zhili Zou ◽  
Lei Chen ◽  
...  
Keyword(s):  
Status Epilepticus ◽  
Western China ◽  
Convulsive Status Epilepticus

scholarly journals CONVULSIVE STATUS EPILEPTICUS

2016 ◽  
Vol 23 (06) ◽  
pp. 660-664
Author(s):  
Dileep Kumar ◽  
Awais Bashir Larik ◽  
Amir Shahzad
Keyword(s):  
Status Epilepticus ◽  
Hospital Mortality ◽  
Statistical Significance ◽  
Tertiary Care ◽  
Care Facility ◽  
Convulsive Status Epilepticus ◽  
Inhospital Mortality ◽  
Tertiary Care Facility ◽  
History Of ◽  
History Of Epilepsy

Objectives: To determine the in hospital mortality of convulsive status epilepticusin a tertiary care facility. Study Design: Cross sectional study. Place and Duration of Study:Neurology ward, Jinnah Postgraduate Medical Centre, Karachi, Medicine Department ofPeoples University Of Medical And Health Sciences Nawabshah from July 2015- Dec 2015.Material and Methods: All patients of either gender with age >15 years with status epilepticus,were included in the study. A detailed clinical history and relevant neurological examinationwas performed. All the patients who fulfill the inclusion criteria were enrolled in the study afterinformed written consent and explanation of the study protocol. All the information including inhospital mortality was entered on annexed proforma. All the patients were observed three to fivedays. Results: A total of 108 patients were included in this study fulfilling the inclusion criteria.The overall mean age of these patients was 31.3 ± 13.5 years. The age range of these patientswas 16 to 76 years. History of epilepsy was found in 106 (93.5%) of the patients, 88 (81.5%) ofthe patients had status epilepticus in past, 56 (51.9%) of the patients had drug withdrawal, 20(18.5%) of the patients had febrile illness and 2 (1.9%) of the patients had in hospital mortality.There was no statistical significance proportion difference was observed when comparedgender, history of epilepsy and status of epilepticus in past by in hospital mortality (p-values>0.05). Statistical significance proportion difference (p-value <0.05) was found in age and inhospital mortality. Conclusion: We recommend further studies to reach the firm conclusion.

scholarly journals CONVULSIVE STATUS EPILEPTICUS; TO DETERMINE THE IN HOSPITAL MORTALITY

2016 ◽  
Vol 23 (06) ◽  
pp. 660-664
Author(s):  
Dr. Dileep Kumar ◽  
Dr. Awais Bashir Larik ◽  
Dr. Amir Shahzad
Keyword(s):  
Status Epilepticus ◽  
Hospital Mortality ◽  
Convulsive Status Epilepticus
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