Method Development and Validation for Simultaneous Estimation of Benidipine Hydrochloride and Metoprolol Succinate in Tablet

Present work focusing in developing and validating a new high performance liquid chromatography method for estimation of Metoprolol Succinate and Benidipine Hydrochloride in their combine tablet dosage form. The method was performed on Shimadzu LC-20AT instrument using C18 (250 mm x 4.6 mm, 5 µm) Hypersil BDS Column and Potassium Dihydrogen Phosphate Buffer (pH 4.0): Methanol (65: 35% v/v) as mobile phase at ambient temperature. Detection was carried out at 269 nm. Concentration range 4-12 µg/ml for Benidipine Hydrochloride and 25-75 µg/ml for Metoprolol Succinate . The Percentage recovery of Benidipine Hydrochloride and Metoprrolol succinate was found to be 99.59% and 99.39 respectively. Correlation coefficient for Metoprolol succinate and Benidipine Hydrochloride was found 0.9995 and 0.9997 respectively. The Rt values for Metoprolol succinate and Benidipine Hydrochloride were found to be 3.4 and 5.9 min respectively. The method was validated according to the guidelines of International Conference on Harmonisation (ICH) and was successfully employed in the estimation of commercial formulations. Keywords:  Metoprolol Succinate, Benidipine Hydrochoride, HPLC, Mobile Phase

ECG Recordings as Predictors of Very Early Autism Likelihood: A Machine Learning Approach

In recent years, there has been a rise in the prevalence of autism spectrum disorder (ASD). The diagnosis of ASD requires behavioral observation and standardized testing completed by highly trained experts. Early intervention for ASD can begin as early as 1–2 years of age, but ASD diagnoses are not typically made until ages 2–5 years, thus delaying the start of intervention. There is an urgent need for non-invasive biomarkers to detect ASD in infancy. While previous research using physiological recordings has focused on brain-based biomarkers of ASD, this study investigated the potential of electrocardiogram (ECG) recordings as an ASD biomarker in 3–6-month-old infants. We recorded the heart activity of infants at typical and elevated familial likelihood for ASD during naturalistic interactions with objects and caregivers. After obtaining the ECG signals, features such as heart rate variability (HRV) and sympathetic and parasympathetic activities were extracted. Then we evaluated the effectiveness of multiple machine learning classifiers for classifying ASD likelihood. Our findings support our hypothesis that infant ECG signals contain important information about ASD familial likelihood. Amongthe various machine learning algorithms tested, KNN performed best according to sensitivity (0.70 ± 0.117), F1-score (0.689 ± 0.124), precision (0.717 ± 0.128), accuracy (0.70 ± 0.117, p-value = 0.02), and ROC (0.686 ± 0.122, p-value = 0.06). These results suggest that ECG signals contain relevant information about the likelihood of an infant developing ASD. Future studies should consider the potential of information contained in ECG, and other indices of autonomic control, for the development of biomarkers of ASD in infanc

Hemodialysis vascular access options in pediatrics: considerations for patients and practitioners

Recent data indicate that the incidence of end-stage renal disease (ESRD) in pediatric patients (age 0–19 years) has increased over the past two decades. Similarly, the prevalence of ESRD has increased threefold over the same period. Hemodialysis (HD) continues to be the most frequently utilized modality for renal replacement therapy in incident pediatric ESRD patients. The number of children on HD exceeded the sum total of those on peritoneal dialysis and those undergoing pre-emptive renal transplantation. Choosing the best vascular access option for pediatric HD patients remains challenging. Despite a national initiative for fistula first in the adult hemodialysis population, the pediatric nephrology community in the United States of America utilizes central venous catheters as the primary dialysis access for most patients. Vascular access management requires proper advance planning to assure that the best permanent access is placed, seamless communication involving a multidisciplinary team of nephrologists, nurses, surgeons, and interventional radiologists, and ongoing monitoring to ensure a long life of use. It is imperative that practitioners have a long-term vision to decrease morbidity in this unique patient population. This article reviews the various types of pediatric vascular accesses used worldwide and the benefits and disadvantages of these various forms of access

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL.

Dynamic contrast-enhanced (DCE) MRI provides both morphological and functional information regarding breast tumor response to neoadjuvant chemotherapy (NAC). The purpose of this retrospective study is to test if prediction models combining multiple MRI features outperform models with single features. Four features were quantitatively calculated in each MRI exam: functional tumor volume, longest diameter, sphericity, and contralateral background parenchymal enhancement. Logistic regression analysis was used to study the relationship between MRI variables and pathologic complete response (pCR). Predictive performance was estimated using the area under the receiver operating characteristic curve (AUC). The full cohort was stratified by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status (positive or negative). A total of 384 patients (median age: 49 y/o) were included. Results showed analysis with combined features achieved higher AUCs than analysis with any feature alone. AUCs estimated for the combined versus highest AUCs among single features were 0.81 (95% confidence interval [CI]: 0.76, 0.86) versus 0.79 (95% CI: 0.73, 0.85) in the full cohort, 0.83 (95% CI: 0.77, 0.92) versus 0.73 (95% CI: 0.61, 0.84) in HR-positive/HER2-negative, 0.88 (95% CI: 0.79, 0.97) versus 0.78 (95% CI: 0.63, 0.89) in HR-positive/HER2-positive, 0.83 (95% CI not available) versus 0.75 (95% CI: 0.46, 0.81) in HR-negative/HER2-positive, and 0.82 (95% CI: 0.74, 0.91) versus 0.75 (95% CI: 0.64, 0.83) in triple negatives. Multi-feature MRI analysis improved pCR prediction over analysis of any individual feature that we examined. Additionally, the improvements in prediction were more notable when analysis was conducted according to cancer subtype

Abstract Number ‐ 259: Recanalization Before Completion of Alteplase Infusion Leads to Improved Outcomes: A Retrospective Analysis

Introduction The recently published CHOICE trial found that intra‐arterial infusion of alteplase improved clinical outcomes in patients undergoing EVT for LVO AIS, an effect that was possibly due to a reduction in reperfusion‐related injury. Here, we examine whether intravenous alteplase, administered after successful endovascular reperfusion, results in improved clinical outcomes. Methods From our prospectively collected multicenter institutional registry drawn from four comprehensive stroke centers in the greater Houston area, we identified cases who underwent EVT with substantial reperfusion (TICI 2b/3) prior to termination of the intravenous alteplase continuous drip. Control patients were then identified as patients who underwent EVT with TICI 2b/3 after completion of intravenous alteplase, matching on age, baseline Modified Rankin Scale (mRS), initial NIH Stroke Scale (NIHSS), and comorbidities. The primary outcome was 90 day disability and was determined by mRS shift analysis, comparing the case and control populations. Results Among 21 cases and 24 matched controls, there were no significant difference between the mean age, gender, race, initial NIHSS, baseline mRS, or ASPECT score. Time from last known well to recanalization was longer in controls (48 min vs 151 min, p< 0.01). Patients who achieved reperfusion prior to termination of the alteplase continuous drip had better 90 day clinical outcomes relative to their presentation mRS when compared to patients who achieved reperfusion after termination of the alteplase. A change in mRS of 1 or less was seen in 71% vs 33% in the continued infusion group vs controls respectively. Conclusions Patients undergoing EVT who continued to be treated with intravenous alteplase following reperfusion had better 90d clinical outcomes relative to those with reperfusion after infusion termination. These findings further support the possible efficacy of thrombolytics following endovascular reperfusion

Performance Analysis of Clustering Techniques for Object Oriented Segmentation of Satellite Images

This paper presents a new approach for color based image segmentation by applying Fuzzy c-means algorithm. This segmentation process includes a new mechanism for clustering the elements of high –resolution images in order to improve precision and reduce computation time. Normally, due to the progress in spatial resolution of satellite imagery, the methods of segment-based image analysis for Fuzzy c-means (FCM) clustering is one of well-known unsupervised clustering techniques, which can be used for unsupervised image segmentation. The measurement data considered from an unsupervised fuzzy clustering technique is only used to reveal the underlying structure of the data and segment the image in regions with similar spectral properties. So this method has not relationship betwee

An Object Oriented Model for the Classification of Satellite Image using Data Mining Techniques

The current paper had the objective of determining the coffee plantation area and its temporal variation for one interesting region of the Lavras county, Minas Gerais. The data was obtained from satellite images taken from LANDSAT-5/TM in 1997 and 1999. The results showed that the multi temporal classification as well as the post-classification correction allowed a better coffee zoning area. More over, a more precise observation could be made in relation to the coffee area increment

Abstract Number ‐ 264: Examining The Impact Of Area Deprivation On Patient Outcomes In LVO AIS

Introduction The Area Deprivation Index (ADI) is a validated neighborhood‐level measure that utilizes variables such as income, education, and employment to quantify relative socioeconomic disadvantages. Here we explore the impact of disparities on EVT access. Methods From our prospectively maintained multi‐hospital registry, we identified patients with LVO AIS from January 2019‐ June 2020. Patient addresses and zip‐codes were validated using US Postal Service codes and matched to census‐tract level ADI scores that were obtained from Neighborhood Atlas. ADI were categorized into high and low using the median ADI as the cuto!. The primary outcome was utilization of EVT and IV tPA and was determined using multivariable logistic regression and expressed as OR [95% CI]. All p‐values are two‐sided with p < 0.05 defined as statistically significant. All analyses were conducted using RStudio (Version 1.2.5001). Results Among 637 patients with LVO AIS, median age was 68, 46% were female, 53% were white, 27% were black, and 78% identified as Hispanic. Median state ADI was 5 IQR [5]. NIHSS was similar between low/high ADI (mean(SD): 13.3(7.75) vs 13.6(8.62), p‐value 0.69) regions. ADI was significantly associated with race (6.41 vs 4, black vs. white, p‐value 0.03). In the univariable analysis, patients treated with EVT had lower mean ADIs (5.2 vs. 4.6, no EVT vs. EVT, p< 0.02). In multivariable analysis adjusted for age, sex, race, ethnicity and NIHSS, higher ADI was significantly associated with greater rates of IV tPA usage (OR 1.7 [1.01‐ 2.98]) but not EVT usage (OR 0.63 [0.04‐1.0]) Conclusions Patients residing in disadvantaged neighborhoods may have reduced rates of reperfusion therapy, despite comparable acute stroke presentation symptoms. These findings are consistent with prior studies demonstrating poorer health outcomes in these populations