scholarly journals Discontinuation of preventive antiepileptic drugs in patients with intracerebral hemorrhage

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yi-Sin Wong ◽  
Chi-Shun Wu ◽  
Cheung-Ter Ong
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Intracerebral Hemorrhage ◽  
Antiepileptic Drugs ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
First Year ◽  
Cortical Involvement ◽  
Early Seizure

Abstract Background The risk factors for seizures in patients with intracerebral hemorrhage (ICH) stroke and the effect of seizure prevention by anticonvulsant are not well understood. Limited studies have investigated the risk of seizure after discontinuing antiepileptic drugs in patients with ICH. This study aimed to investigate the role of valproic acid (VA) for seizure prevention and to access the risk of seizure after anticonvulsant withdrawal in patients with spontaneous ICH. Methods Between 2013 and 2015, 177 patients with ICH were enrolled in this 3-year retrospective study. Seizures were classified as early seizure (first seizure within 1 week of ICH), delayed seizure (first seizure after 1 week), and late seizure (any seizure after 1 week). Binary logistic regression was used to evaluate the relationship between baseline clinical factors and late seizures between study periods. VA was prescribed or discontinued based on the decision of the physician in charge. Results Seizures occurred in 24 patients, including early seizure in 6.78% (12/177) of the patients, delayed seizure in 7.27% (12/165) of the patients without early seizure, and late seizure in 9.60% (17/177) of the patients. Most seizures occurred within the first year. Binary logistic regression analysis showed ICH with cortex involvement as the independent risk factor for seizures. VA did not decrease the risk of seizures. Patients with ICH with cortical involvement using anticonvulsants for longer than 3 months did not have a decreased risk of seizures (odds ratio 1.86, 95% CI: 0.43–8.05). Conclusions Spontaneous ICH with cortex involvement is the risk factor for seizure. Most seizures occurred within 1 year after stroke onset over a 3-year follow up. Discontinuation of antiepileptic drug within 3 months in patients does not increase the risk of seizure.

scholarly journals Discontinuation of Prophylactic Antiepileptic Drugs in Patients with Intracerebral Hemorrhage

2020 ◽  
Author(s):  
Yi-Sin Wong ◽  
Chi-Shun Wu ◽  
Cheung-Ter Ong
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Intracerebral Hemorrhage ◽  
Antiepileptic Drugs ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
First Year ◽  
Increase Risk ◽  
Cortical Involvement ◽  
Early Seizure

Abstract Background: The risk factors for seizures in patients with intracerebral hemorrhage (ICH) stroke and the effect of prophylactic anticonvulsant are not well understood. Limited studies investigated the risk of seizure after discontinuing prophylactic antiepileptic drugs in patients with ICH. This study aimed to investigate the role of valproic acid (VA) for seizure prevention and to access the risk of seizure after anticonvulsant withdrawal in patients with spontaneous ICH.Methods: Between 2013 and 2015, 177 patients with ICH were enrolled in this 3-year retrospective study. Seizure was classified as early seizure (first seizure within 1 week of ICH), delayed seizure (first seizure after 1 week), and late seizure (any seizure after 1 week). Binary logistic regression was used to evaluate the relationship between baseline clinical factors and late seizure between study VA was prescribed or discontinued based on the decision of the physician in charge.Results: Seizures occurred in 24 patients, including early seizure in 6.78% (12/177) of the patients, delayed seizure in 7.27% (12/165) of the patients without early seizure, and late seizure in 9.60% (17/177) of the patients. Most seizures occurred within the first year. Binary logistic regression analysis showed ICH with cortex involvement as the independent risk factor for seizures. VA did not decrease the risk of seizure. Patients with ICH with cortical involvement using prophylactic anticonvulsant for longer than 3 months did not decrease risk of seizure (Odds ratio 1.86, 95% CI: 0.43-8.05).Conclusion: Spontaneous ICH with cortex involvement is the risk factor for seizure. Most seizures occurred within 1 year after stroke onset over a 3-year follow up. Discontinuation Prophylactic antiepileptic drug within 3 months in patients do not increase risk of seizure. VA cannot prevent seizure in patients with ICH.

scholarly journals Serum markers change for intraocular metastasis in renal cell carcinoma

2021 ◽  
Author(s):  
Tie Sun ◽  
Jing Tang ◽  
Yi-Cong Pan ◽  
Chen-Yu Yu ◽  
Biao Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Intraocular Metastasis

Objective: Intraocular metastasis(IOM) of renal cell carcinoma is rare. In this study, we studied the relationship between different biochemical indicators and the occurrence of IOM in renal cancer patients, and identified the potential risk factors. Methods: A retrospective analysis of the clinical data of 214 patients with renal cell carcinoma from October 2001 to August 2016. Analyze the difference and correlation of various indicators between the two groups with or without IOM, and use binary logistic regression analysis to explore the risk factors of IOM in renal cancer patients. Calculate the diagnostic value of each independent related factor according to the receiver operating curve (ROC). Results: The level of neuron specific enolase （NSE） in renal cell carcinoma patients with IOM was significantly higher than that in patients without IOM (P < 0.05). There was no significant difference in ALP, Hb, serum calcium concentration, AFP, CEA, CA-125 etc. between IOM group and non-intraocular metastasis (NIOM) group (P > 0.05). Binary logistic regression analysis showed that NSE was an independent risk factor for IOM in renal cell carcinoma patients (P < 0.05). ROC curve shows that the factor has high accuracy in predicting IOM, and the area under the curve is 0.774. The cut-off value of NSE was 49.5U/L, the sensitivity was 72.2%, and the specificity was 80.1%. Conclusion：NSE concentration is a risk factor for IOM in patients with renal cell cancer. If the concentration of NSE in the patient's body is ≥49.5U/L, disease monitoring and eye scans should be strengthened.

scholarly journals The Role of Inflammatory Factors in the Covid-19 Disease

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Fesharaki MJ ◽  
◽  
Eslami V ◽  
Sandgol G ◽  
Gharaei B ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Statistical Significance ◽  
Binary Logistic Regression ◽  
Inflammatory Factors ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Significant Difference ◽  
Severe Group

Late in 2019 a new pandemic was caused by a novel coronavirus which was later named as Covid-19 by WHO. Regarding the unknown behavior of the disease finding some predicting factors was important so it could be possible to curb the mortality and morbidity risk of the disease. Later studies showed the important role of inflammatory factors in the process of the disease. In this retrospective, multicenter study, 1199 adult patients were randomly selected. Patients were divided to three main groups: Severe/Moderate, ICU add/Non- ICU add and Expired/Alive. The clinical data (including heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure) and the laboratory findings (including NLR, PLR, D-dimer, Troponin, and CRP) of their first date of admission were studied from their documents. The mean of each factor was compared within each group and the binary logistic regression was done for each factor. ROC curves were drawn separately based on the results of the binary logistic regression analysis (P-value<0.05). Out of 1199 patients, 908 were in the severe group, 143 were ICU added and 144 were expired. Age and clinical factors were significantly higher (P-value=0.000) in the severe, ICU add, and expired groups. All the inflammatory factors were significantly higher in the severe group (P-value=0.000), were higher among ICU add patients with statistical significance of CRP, NLR, and PLR (P-value = 0.000, 0.000 and 0.001 respectively), and were higher in the expired group with the statistically significant difference in CRP, Troponin, NLR, and PLR (P-value=0.000).

scholarly journals Understanding the role of oxidative stress in the incidence of metabolic syndrome and obstructive sleep apnea

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Behnam Kargar ◽  
Zahra Zamanian ◽  
Majid Bagheri Hosseinabadi ◽  
Vahid Gharibi ◽  
Mohammad Sanyar Moradi ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
International Diabetes Federation ◽  
Binary Logistic Regression ◽  
Stress Index ◽  
Obstructive Sleep

Abstract Background Understanding the causes and risk factors of metabolic syndrome is important for promoting population health. Oxidative stress has been associated with metabolic syndrome, and also obstructive sleep apnea. These are two diseases which have common prognostic characteristics for heart disease. The aim of this study was to examine the role of oxidative stress in the concurrent presence of metabolic syndrome and obstructive sleep apnea in a working population. Methods Participants were 163 artisan bakers in Shahroud, Iran, routinely exposed to significant heat stress and other oxidative stress indicators on a daily basis as part of their work. Using a cross-sectional design, data relevant to determining metabolic syndrome status according to International Diabetes Federation criteria, and the presence of obstructive sleep apnea according to the STOP-Bang score, was collected. Analyses included hierarchical binary logistic regression to yield predictors of the two diseases. Results Hierarchical binary logistic regression showed that oxidative stress – alongside obesity, no regular exercise, and smoking – was an independent predictor of metabolic syndrome, but not obstructive sleep apnea. Participants who were obese were 28 times more likely to have metabolic syndrome (OR 28.59, 95% CI 4.91–63.02) and 44 times more likely to have obstructive sleep apnea (OR 44.48, 95% CI 4.91–403.28). Participants meeting metabolic syndrome criteria had significantly higher levels of malondialdehyde (p <  0.05) than those who did not. No difference in oxidative stress index levels were found according to obstructive sleep apnea status. Conclusions Our findings suggest that oxidative stress contributes to the onset of metabolic syndrome, and that obstructive sleep apnea is involved in oxidative stress. Whilst obesity, exercise, and smoking remain important targets for reducing the incidence of metabolic syndrome and obstructive sleep apnea, policies to control risks of prolonged exposure to oxidative stress are also relevant in occupations where such environmental conditions exist.

scholarly journals Predicting Burn Mortality Using a Simple Novel Prediction Model

2021 ◽  
Author(s):  
Sneha Sharma ◽  
Raman Tandon
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Prediction Model ◽  
Receiver Operating Characteristic ◽  
Logistic Regression Analysis ◽  
Operating Characteristic ◽  
Binary Logistic Regression ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Binary Logistic Regression Analysis

Abstract Background Prediction of outcome for burn patients allows appropriate allocation of resources and prognostication. There is a paucity of simple to use burn-specific mortality prediction models which consider both endogenous and exogenous factors. Our objective was to create such a model. Methods A prospective observational study was performed on consecutive eligible consenting burns patients. Demographic data, total burn surface area (TBSA), results of complete blood count, kidney function test, and arterial blood gas analysis were collected. The quantitative variables were compared using the unpaired student t-test/nonparametric Mann Whitney U-test. Qualitative variables were compared using the ⊠2-test/Fischer exact test. Binary logistic regression analysis was done and a logit score was derived and simplified. The discrimination of these models was tested using the receiver operating characteristic curve; calibration was checked using the Hosmer—Lemeshow goodness of fit statistic, and the probability of death calculated. Validation was done using the bootstrapping technique in 5,000 samples. A p-value of <0.05 was considered significant. Results On univariate analysis TBSA (p <0.001) and Acute Physiology and Chronic Health Evaluation II (APACHE II) score (p = 0.004) were found to be independent predictors of mortality. TBSA (odds ratio [OR] 1.094, 95% confidence interval [CI] 1.037–1.155, p = 0.001) and APACHE II (OR 1.166, 95% CI 1.034–1.313, p = 0.012) retained significance on binary logistic regression analysis. The prediction model devised performed well (area under the receiver operating characteristic 0.778, 95% CI 0.681–0.875). Conclusion The prediction of mortality can be done accurately at the bedside using TBSA and APACHE II score.

Abstract TP197: Risk of Stroke in Women with use of Testosterone-Containing Hormone Replacement Therapy

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Haseeb A Rahman ◽  
Ahmed Malik ◽  
Aesha Rahman ◽  
Saqib Chaudhry ◽  
Malik M Adil ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Hormone Replacement Therapy ◽  
Replacement Therapy ◽  
Stroke Risk ◽  
Hormone Replacement ◽  
Future Studies ◽  
Baseline Visit ◽  
Using Data

Background: There has been debate in the role of exogenous testosterone as a risk factor for stroke. Hormone replacement therapy (HRT) is considered a risk factor for stroke. The risk of ischemic stroke may increase when using testosterone-containing HRT. Methods: Using data from the observational component of the Women’s Health Initiative (WHI) [WHI Observational Study (OS)], we analyzed the 93,676 women aged 50-79 years, who participated in the OS over a period of 12±1 years. We compared the outcome of stroke in participants with reported use of a combination of testosterone and estrogen, estrogen alone, progesterone alone, and a combination of estrogen and progesterone, as recorded at the baseline visit. A logistic regression analysis was run to determine the odds of developing stroke. Results: Of the 93, 676 participants, 1772 used a combination of testosterone and estrogen (Estratest) HRT, 11,282 used progesterone alone, 10,808 used a combination of estrogen and progesterone, and 31,673 used estrogen alone. A smaller proportion of participants who developed an outcome of stroke had used Estratest as compared to estrogen alone or a combination of estrogen and progesterone (1.9% vs. 96.3% p=0.62). In the logistic regression, participants who had used Estratest were 1.2 times as likely to develop stroke as users of other hormone replacement therapy (OR 1.2 95%CI (0.96-1.6)), while women who had used progesterone only were 0.87 times less likely to develop stroke than users of other hormone replacement therapy (OR 0.874 95%CI (0.77-0.99)). After adjusting for confounders, the risk of developing stroke increased in users of Estratest (OR 1.25 95%CI (0.96-1.6) p=0.04), and decreased in users of progesterone only (OR 0.873 95%CI (0.77-0.99) p=0.038). Conclusion: Use of testosterone-containing HRT slightly increased the risk of stroke in women when compared to progesterone alone HRT, although this was not found to be significant. Stroke risk with Estratest may be considered to be similar to estrogen only and combination of estrogen plus progesterone HRT. Future studies are required to investigate these correlations.

MO376CLINICAL OUTCOMES OF ACUTE KIDNEY INJURY FOLLOWING SNAKE BITE INJURIES

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Weerakit Naweera ◽  
Thapat Wannarong
Keyword(s):  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Kidney Injury ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Renal Recovery ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Hospital Arrival ◽  
Russell’S Viper

Abstract Background and Aims Snakebite is a common animal bite injury in tropical countries. Acute kidney injury (AKI) is an important complication in snakebite patients. This study aimed to comprehensively investigate the clinical profiles and outcomes of patients following hematotoxin-related snakebite associated with kidney impairment. Method We conducted a hospital-based, cross-sectional study of 238 patients with hematotoxin-related snakebite injuries. Data were retrieved from the King Narai Hospital Registry from October 2014 to August 2020. The prevalence of complications associated with snakebite injuries, including acute kidney injury (AKI) and its severity, was determined. Univariate and Multivariate predictors of AKI diagnosis were evaluated using binary logistic regression analysis Results A total of 238 patients, with 63.4% men, median (IQR) age 49.8 (39-61) years and median duration from injury to a hospital arrival of 1 hour (0.5-2) hours, were injured by Green pit viper (85.7%), Russell’s viper (12.6%) and Malayan pit viper (1.7%). AKI mostly occurred in Russell’s viper group 66.7%. An AKI was reported in thirty (12.6%, 95% CI: 8.7 % - 17.5%) patients, with the severity of 66.7% stage one, 6.7% stage two, 26.6% stage three by KDIGO classifications, and 13.3% requiring hemodialysis. Complete renal recovery was seen in twenty-two patients (73.3%), while partial renal recovery was 23.3%. Other complications included 84.4 % limb cellulitis, 4.6% significantly bleeding, 2.5% hypotension, 25.6% prolonged venous clotting time (VCT), 46.7% prolonged prothrombin time (PT), and 14.3% prolonged partial thromboplastin time (PTT). Of total patients, 60.1% were treated with anti-venom. Mortality was relatively low (0.4%). In multivariable logistic regression analyses, AKI was significantly associated with time to hospital arrival more than 3 hours (p = 0.04), Russell’s viper bitten (p = 0.01), clinical bleeding (p = 0.01), and prolonged PT (p &lt; 0.01). Conclusion The prevalence of AKI in patients bitten by hematotoxin snakes was 12.6%, mostly from Russell’s viper. Factors associated with AKI outcomes were time to hospital arrival more than 3 hours, Russell’s viper bitten, clinical bleeding, and prolonged PT. Besides, one-fourth of AKI patients turned to chronic kidney disease.

Abstract 3734: Presurgical fMRI and Morbidity Outcomes in Patients with Vascular Lesions

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Andrew C Radtke ◽  
Joshua Pankratz ◽  
Ryan Holdsworth ◽  
Dovile Baniulis ◽  
Nicole Kornder ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Preoperative Planning ◽  
Binary Logistic Regression ◽  
Vascular Lesion ◽  
Vascular Lesions ◽  
Motor Deficits ◽  
Binary Logistic Regression Analysis ◽  
Language Mapping ◽  
Motor Mapping ◽  
The Relationship

Background fMRI is being increasingly used as an adjunct imaging technique for preoperative planning for patients with various brain lesions. The proximity of the lesion to eloquent cortex is a major factor in guiding surgical planning. Our group has previously reported significant association between the distance between brain tumor periphery and area of fMRI activation (Lesion-Activation Distance; LAD) and morbidity and mortality outcomes. This study investigated the relationship between vascular lesion LAD and morbidity. Methods This study was a retrospective analysis of data from patients with vascular lesions [arteriovenous malformations (AVMs) (n=49), and cavernomas (n=57)], who had received fMRI as part of their preoperative planning. The preoperative fMRI included motor mapping (n=87) and/or language mapping (n=102). The fMRI paradigms were chosen based on observed preoperative weakness (aphasia, paresis) and anticipated functional areas of the brain that may be affected by treatment. Results Multiple logistic regression analyses showed that a model that combines Age and Language LAD was a significant predictor of postoperative deficits (p= 0.04). Broca’s LAD(1-2 cm) X Age was a significant predictor of postoperative deficits (change in odds ratio (OR) =0.82, CI:0.68-0.98). The relationship between Brocas’s LAD and postoperative aphasia and Broca’s LAD and pre and postoperative aphasia trended towards significance (p = .08 and p =.07 respectively). Wernicke’s LAD, independently or combined with Age, was not a significant predictor of postoperative deficits. Binary logistic regression analysis for SMC LAD and postop deficits did not reach significance (p =.10). There were no significant differences in postoperative language or motor deficits as a function of gender or handedness. Conclusions These results suggest that both age and the proximity of a vascular lesion to language LAD are factors that can help predict postoperative outcomes, especially for Broca’s LAD. The lack of similar results when investigating the relationship between Wernicke’s LAD and postoperative deficits suggests potential brain reorganization and/or robustness of this brain region. These results have implications for the potential use of fMRI as a presurgical tool for language mapping in patients with vascular lesions.

scholarly journals Predicting organizational performance from motivation in Oromia Seed Enterprise Bale branch

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Askalech Feyisa Jobira ◽  
Abdulnasir Abdulmelike Mohammed
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Intrinsic Motivation ◽  
Organizational Performance ◽  
Logistic Regression Analysis ◽  
Extrinsic Motivation ◽  
Binary Logistic Regression ◽  
Moderate Level ◽  
Binary Logistic Regression Analysis ◽  
Study Results

AbstractMotivation is one of the most researched yet crucial topics in academia from various perspectives. Despite this, researches show mixed results about the effect of extrinsic motivation on intrinsic motivation and organizational performance. Studies in Ethiopia also lack causal analysis and theoretical underpinning that made contributions from academia very little. Hence, this research is important to assess the effect of extrinsic motivation on intrinsic motivation and organizational performance from a cognitive evaluation theory perspective. The researchers adopted an explanatory research design with a quantitative approach. The entire 119 employees of the Oromia Seed Enterprise, Bale branch were included in the study to collect primary data through a close-ended questionnaire. The collected data was processed by SPSS software version 20. The relationship analysis was addressed by correlation and binary logistic regression analysis. Seen from extrinsic and intrinsic motivation aspects, the findings of the study showed that Oromia Seed Enterprise had a moderate level of organizational performance and a moderate level of employees’ motivation. The correlation analysis result indicated that employees’ extrinsic and intrinsic motivation had a positive relationship with organizational performance. The binary logistic regression analysis also indicated that extrinsic and intrinsic motivation had a positive and significant influence on organizational performance. However, the interaction effect of intrinsic and extrinsic motivation on organizational performance was not significant, implying the absence of influence when both intrinsic and extrinsic motivations happen at the same time. Finally, the study results have a theoretical contribution for compensating the lack of actual experience in the Ethiopian organization’s context. Equally, the understanding of the moderated relationship among the study variables may encourage Oromia Seed Enterprise and its managers to develop a practical motivation system, which entertains the complex interaction of motivation variables to improve organizational performance. In addition, studies of this nature can inform policymakers to strengthen an incentive system as well as other motivation veins in the Ethiopian public organizations.

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