18 results on '"Vaishnavi Sharma"'
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2. Fabrications of electrochemical sensors based on carbon paste electrode for vitamin detection in real samples
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Vaishnavi Sharma and Gururaj Kudur Jayaprakash
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Water-soluble vitamins ,fat-soluble vitamins ,redox reactions ,voltammetry ,modifiers ,Chemistry ,QD1-999 - Abstract
This review article examines some advancements in electrochemical sensors for vitamin detection in the past few decades. Vitamins are micronutrients found in natural foods essential for maintaining good health. Most vitamins cannot be synthesized by a body and must be obtained externally from natural food. Vitamins make a class of organic chemicals that shortage can cause various ailments and diseases, and consumption can become harmful if it exceeds the usually needed level. Because of these factors, vitamin detection has become highly significant and sparked interest over the past few decades. The electrochemical sensors function on the concept of electrochemical activity of practically all vitamins. This implies that concentrations of vitamins in the electrolyte may be detected by measuring the amounts of current generated at certain potentials by their oxidation and reduction at the working electrode surface. Voltammetric methods are superior to other methods because they are cheaper and show sharp sensitivity with faster analysis speed. The carbon-based electrodes, in particular carbon paste electrodes (CPE), have significant advantages like easier catalyst incorporation, surface renewability, and expanded potential windows with lower ohmic resistance. This review goes into detail about several electrochemical sensors involving CPE as the working electrode and its utilization to detect water- and fat-soluble vitamins.
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- 2022
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3. Machine Learning Quantification of Amyloid Deposits in Histological Images of Ligamentum Flavum
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Andy Y. Wang, Vaishnavi Sharma, Harleen Saini, Joseph N. Tingen, Alexandra Flores, Diang Liu, Mina G. Safain, James Kryzanski, Ellen D. McPhail, Knarik Arkun, and Ron I. Riesenburger
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Wild-type transthyretin amyloid ,Ligamentum flavum ,Trainable Weka Segmentation ,Machine learning ,Color thresholding ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Pathology ,RB1-214 - Abstract
Wild-type transthyretin amyloidosis (ATTRwt) is an underdiagnosed and potentially fatal disease. Interestingly, ATTRwt deposits have been found to deposit in the ligamentum flavum (LF) of patients with lumbar spinal stenosis before the development of systemic and cardiac amyloidosis. In order to study this phenomenon and its possible relationship with LF thickening and systemic amyloidosis, a precise method of quantifying amyloid deposits in histological slides of LF is critical. However, such a method is currently unavailable. Here, we present a machine learning quantification method with Trainable Weka Segmentation (TWS) to assess amyloid deposition in histological slides of LF. Images of ligamentum flavum specimens stained with Congo red are obtained from spinal stenosis patients undergoing laminectomies and confirmed to be positive for ATTRwt. Amyloid deposits in these specimens are classified and quantified by TWS through training the algorithm via user-directed annotations on images of LF. TWS can also be automated through exposure to a set of training images with user-directed annotations, and then applied] to a set of new images without additional annotations. Additional methods of color thresholding and manual segmentation are also used on these images for comparison to TWS. We develop the use of TWS in images of LF and demonstrate its potential for automated quantification. TWS is strongly correlated with manual segmentation in the training set of images with user-directed annotations (R = 0.98; p = 0.0033) as well as in the application set of images where TWS was automated (R = 0.94; p = 0.016). Color thresholding was weakly correlated with manual segmentation in the training set of images (R = 0.78; p = 0.12) and in the application set of images (R = 0.65; p = 0.23). TWS machine learning closely correlates with the gold-standard comparator of manual segmentation and outperforms the color thresholding method. This novel machine learning method to quantify amyloid deposition in histological slides of ligamentum flavum is a precise, objective, accessible, high throughput, and powerful tool that will hopefully pave the way towards future research and clinical applications.
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- 2022
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4. 340 Machine Learning Segmentation of Amyloid Load in Ligamentum Flavum Specimens From Spinal Stenosis Patients
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Andy Y. Wang, Vaishnavi Sharma, Harleen Saini, Joseph N. Tingen, Alexandra Flores, Diang Liu, Mina G. Safain, James Kryzanski, Ellen D. McPhail, Knarik Arkun, and Ron I. Riesenburger
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Medicine - Abstract
OBJECTIVES/GOALS: Wild-type transthyretin amyloid (ATTRwt) deposits have been found to deposit in the ligamentum flavum (LF) of spinal stenosis patients prior to systemic and cardiac amyloidosis, and is implicated in LF hypertrophy. Currently, no precise method of quantifying amyloid deposits exists. Here, we present our machine learning quantification method. METHODS/STUDY POPULATION: Images of ligamentum flavum specimens stained with Congo red are obtained from spinal stenosis patients undergoing laminectomies and confirmed to be positive for ATTRwt. Amyloid deposits in these specimens are classified and quantified by TWS through training the algorithm via user-directed annotations on images of LF. TWS can also be automated through exposure to a set of training images with user- directed annotations, and then application to a set of new images without additional annotations. Additional methods of color thresholding and manual segmentation are also used on these images for comparison to TWS. RESULTS/ANTICIPATED RESULTS: We develop the use of TWS in images of LF and demonstrate its potential for automated quantification. TWS is strongly correlated with manual segmentation in the training set of images with user-directed annotations (R = 0.98; p = 0.0033) as well as in the application set of images where TWS was automated (R = 0.94; p = 0.016). Color thresholding was weakly correlated with manual segmentation in the training set of images (R = 0.78; p = 0.12) and in the application set of images (R = 0.65; p = 0.23). DISCUSSION/SIGNIFICANCE: Our machine learning method correlates with the gold standard comparator of manual segmentation and outperforms color thresholding. This novel machine learning quantification method is a precise, objective, accessible, high throughput, and powerful tool that will hopefully pave the way towards future research and clinical applications.
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- 2022
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5. Architecture as Meaningfulness in Health Care
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-, Vaishnavi Sharma, primary and -, Ar.Yashika Garg, additional
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- 2024
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6. Clinical Reasoning: Adult Patient Presenting With Spine Pain Following a Motor Vehicle Accident
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Vaishnavi Sharma and Oscar Soto
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Neurology (clinical) - Abstract
A 52-year-old woman with a complex medical history, including a history of consanguinity, developed refractory uncontrollable spine pain after a motor vehicle accident 2 years before presentation. There were no well-defined findings on clinical examination. She was found to have mildly elevated serum creatine phosphokinase levels, and spine imaging revealed fatty replacement and atrophy affecting predominantly lumbar paraspinal muscles. Initial EMG sampling of multiple limb muscles was normal. However, a follow-up concentric needle examination sampling paraspinal and trunk muscles showed abundant myotonic discharges, fibrillations and positive sharp waves, and myopathic motor unit action potential changes. This pattern of neurophysiologic abnormalities prompted the search for a myopathic disorder, which was ultimately confirmed with additional studies. This case highlights the critical role of neurophysiologic evaluation of paraspinal and other trunk muscles in the disambiguation of clinical and imaging data, helping to establish the diagnosis of a rare but treatable myopathy at early disease stages.
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- 2023
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7. The life and legacy of William Beecher Scoville
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Andy Y, Wang, Diang, Liu, Joseph N, Tingen, Harleen, Saini, Vaishnavi, Sharma, Alexandra, Flores, and Ron I, Riesenburger
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General Medicine - Abstract
Dr. William Beecher Scoville (1906–1984) is a giant figure in the history of neurosurgery, well known by the public for his operation on Patient H.M. He developed dozens of neurosurgical instruments and techniques, with many tools named after him that are still widely used today. He founded numerous neurosurgical societies around the world. He led the movement in psychosurgery, developing the technique of selective orbital undercutting and performing hundreds of lobotomies throughout his career. However, his many contributions to the advancement of neurosurgery have not been well described in the medical literature. To bridge the knowledge gap, this article seeks to detail the life and career of William Beecher Scoville and bring to attention the enduring impact of his work.
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- 2022
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8. The Relationship Between Wild-Type Transthyretin Amyloid Load and Ligamentum Flavum Thickness in Lumbar Stenosis Patients
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Andy Y. Wang, Harleen Saini, Joseph N. Tingen, Vaishnavi Sharma, Alexandra Flores, Diang Liu, Michelle Olmos, Ellen D. McPhail, Mina G. Safain, James Kryzanski, Knarik Arkun, and Ron I. Riesenburger
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Aged, 80 and over ,Male ,Amyloid ,Lumbar Vertebrae ,Lumbosacral Region ,Constriction, Pathologic ,Hypertrophy ,Middle Aged ,Magnetic Resonance Imaging ,Ligamentum Flavum ,Spinal Stenosis ,Humans ,Prealbumin ,Female ,Surgery ,Neurology (clinical) ,Aged - Abstract
BackgroundOne key contributor to lumbar stenosis is thickening of the ligamentum flavum (LF), a process still poorly understood. Wild-type transthyretin amyloid (ATTRwt) has been found in the LF of patients undergoing decompression surgery, suggesting that amyloid may play a role. However, it is unclear whether within patients harboring ATTRwt, the amount of amyloid is associated with LF thickness.MethodsFrom an initial cohort of 324 consecutive lumbar stenosis patients whose LF specimens from decompression surgery were sent for analysis (2018-2019), 33 patients met the following criteria: (1) Congo red-positive amyloid in the LF; (2) ATTRwt by mass spectrometry-based proteomics; and (3) an available preoperative MRI. Histological specimens were digitized, and amyloid load quantified through Trainable Weka Segmentation (TWS) machine learning. LF thicknesses were manually measured on axial T2-weighted preoperative MRI scans at each lumbar level, L1-S1. The sum of thicknesses at every lumbar LF level (L1-S1) equals “lumbar LF burden.”ResultsPatients had a mean age of 72.7 years (range 59-87), were mostly male (61%) and white (82%); and predominantly had surgery at L4-L5 levels (73%). Amyloid load was positively correlated with LF thickness (R=0.345, p=0.0492) at the levels of surgical decompression. Furthermore, amyloid load was positively correlated with lumbar LF burden (R=0.383, p=0.0279).ConclusionsAmyloid load is positively correlated with LF thickness and lumbar LF burden across all lumbar levels, in a dose-dependent manner. Further studies are needed to validate these findings, uncover the underlying pathophysiology, and pave the way towards using therapies that slow LF thickening.
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- 2022
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9. Structural imaging studies of patients with chronic pain: an anatomical likelihood estimate meta-analysis
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Alina T. Henn, Bart Larsen, Lennart Frahm, Anna Xu, Azeez Adebimpe, J. Cobb Scott, Sophia Linguiti, Vaishnavi Sharma, Allan I. Basbaum, Gregory Corder, Robert H. Dworkin, Robert R. Edwards, Clifford J. Woolf, Ute Habel, Simon B. Eickhoff, Claudia R. Eickhoff, Lisa Wagels, and Theodore D. Satterthwaite
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Likelihood Functions ,Pain Research ,Psychology and Cognitive Sciences ,Neurosciences ,Brain ,Chronic pain ,Magnetic Resonance Imaging ,Basic Behavioral and Social Science ,Medical and Health Sciences ,Cortical thickness ,Anatomical likelihood estimate meta-analysis ,Anesthesiology and Pain Medicine ,Neurology ,Anesthesiology ,Behavioral and Social Science ,Neurological ,Humans ,2.1 Biological and endogenous factors ,Neurology (clinical) ,Gray Matter ,Aetiology - Abstract
Neuroimaging is a powerful tool to investigate potential associations between chronic pain and brain structure. However, the proliferation of studies across diverse chronic pain syndromes and heterogeneous results challenges data integration and interpretation. We conducted a preregistered anatomical likelihood estimate meta-analysis on structural magnetic imaging studies comparing patients with chronic pain and healthy controls. Specifically, we investigated a broad range of measures of brain structure as well as specific alterations in gray matter and cortical thickness. A total of 7849 abstracts of experiments published between January 1, 1990, and April 26, 2021, were identified from 8 databases and evaluated by 2 independent reviewers. Overall, 103 experiments with a total of 5075 participants met the preregistered inclusion criteria. After correction for multiple comparisons using the gold-standard family-wise error correction ( P < 0.05), no significant differences associated with chronic pain were found. However, exploratory analyses using threshold-free cluster enhancement revealed several spatially distributed clusters showing structural alterations in chronic pain. Most of the clusters coincided with regions implicated in nociceptive processing including the amygdala, thalamus, hippocampus, insula, anterior cingulate cortex, and inferior frontal gyrus. Taken together, these results suggest that chronic pain is associated with subtle, spatially distributed alterations of brain structure.
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- 2022
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10. Efficacy of Physiotherapy Rehabilitation for Hemiparesis following Cerebral Venous Sinus Thrombosis: A Rare Case Report
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Rebecca Thimoty, Ragini Dagal, Rakesh Krishna Kovela, Shwetambari Morgade, Snehal Samal, and Vaishnavi Sharma
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Background: In Cerebral Vascular Disease when one or more arteries are thrombosed it results in Cerebral Venous Sinus Thrombosis (CVST) and affects in all ages. This condition is very challenging as it is not diagnosed early due to diverse signs and symptoms and involvement of extensive collateral circulation. Superior sagittal sinus is a large sinus which is commonly affected. Usually, patient comes with clinical presentation of headache with papilledema, to focal deficit, seizures and coma. Aim: To investigate the efficacy of Physiotherapy Rehabilitation for Hemiparesis following Cerebral Venous Sinus Thrombosis. Presentation of Case: A 18-year-old male patient presented with a history of severe headache, weakness in his right arm and leg, dizziness upon rising from bed, and a unilateral headache. On investigation CT scan and MRI brain was done. The physiotherapy has started from 2 days after admission in AVBRH. Discussion: In the cases of cerebral venous sinus thrombosis the management of hemiparesis is shown to enhance the ADL and quality of life of patients. Conclusion: The rehabilitation protocol planned will help in improving the range of motion and ADL of patient when started as early as possible.
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- 2022
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11. 314 Radiographic Risk Factors for Intracranial Hemorrhage in Patients with Left Ventricular Assist Devices
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Matthew Kanter, Nicholas Hernandez, Andy Yu-Der Wang, Vaishnavi Sharma, Ron I. Riesenburger, and James Kryzanski
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Surgery ,Neurology (clinical) - Published
- 2023
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12. N°49 – Motor Facilitation as potential biomarker of UMN dysfunction in ALS
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Nathaniel Pinkes, Spencer Lake Jacobs-Skolik, Vaishnavi Sharma, Mathew Yarossi, Charles J. Heckman, Anne Chu, Sophia Nguyen, Didier Cros, Erica Kemmerling, Eugene Tunik, and Oscar Soto
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Neurology ,Physiology (medical) ,Neurology (clinical) ,Sensory Systems - Published
- 2023
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13. Angiotensin-Converting Enzyme (ACE) Insertion/Deletion (I/D) Polymorphism as a Conjoint Regulator of Coagulation, Fibrinolytic, and RAAS Pathway in Infertility and Associated Pregnancy Complications
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Sunil Thakur, Vaishnavi Sharma, Dipneet Kaur, and Pulakes Purkait
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Endocrinology ,Internal Medicine - Abstract
Despite the increase in assisted reproductive technologies, the high rates of infertility and pregnancy complications are a major concern to infertility specialists worldwide. Infertility may be attributed to pregnancy complications like thrombophilia, preeclampsia and fibrin-induced recurrent pregnancy loss (RPL). Renin-angiotensin-aldosterone system (RAAS) directly or indirectly causes preeclampsia and thrombophilia through the fibrinolytic pathway that ultimately leads to RPL or infertility. The underlying mechanisms of this interaction are still unclear. The present comprehensive review is intended to demonstrate the role and interaction of RAAS and fibrinolytic pathways in pregnancy complications. How this interaction can induce pregnancy complications, and ultimately infertility, is also discussed in the light of current evidence. This study also presents common markers that link RAAS and fibrinolytic processes in developing thrombophilia, preeclampsia and RPL. The common link in these pathways is ACE gene I/D polymorphism. Apart from ACE, PAI-1, VIIa, XIIa, AT1R, AT1AA, and TF are common molecules that can delineate the underlying causes of pregnancy complications and infertility.
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- 2022
14. P331. Meta-Analysis of Functional Imaging Studies of Acute Administration of Psychedelics
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Sophia Linguiti, Jacob Vogel, Adam Pines, Valerie Sydnor, Allan Basbaum, Claudia Eickhoff, Simon Eickhoff, Robert Edwards, Bart Larsen, Andrew McKinstry-Wu, J. Cobb Scott, Vaishnavi Sharma, Eric Strain, Gregory Corder, Robert Dworkin, and Theodore Satterthwaite
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Psychiatry ,Psychology and Cognitive Sciences ,Biological Sciences ,Medical and Health Sciences ,Biological Psychiatry - Published
- 2022
15. In Reply: Operationalizing Global Neurosurgery Research in Neurosurgical Journals
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Donald Detchou, Lina I. Ibrahim, Marianne I. J. Tissot, Andre E. Boyke, Nathan A. Shlobin, Vaishnavi Sharma, and Myron L. Rolle
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Bibliometrics ,Neurosurgery ,Humans ,Surgery ,Neurology (clinical) ,Periodicals as Topic ,Neurosurgical Procedures - Published
- 2022
16. List of contributors
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Basant Agarwal, Chanchal Ahlawat, null Amritesh, Jyoti Sekhar Banerjee, Priyanka Bhaskar, Arpita Chakraborty, Avik Chatterjee, Nandita Chaube, Pranjal Chitale, Abhijit Das, Barshan Das, Basabdatta Das, Jay Gala, Pushpa Gothwal, Soham Guhathakurata, Priyanka Harjule, Yash Tejas Javeri, Vijay Jeyakumar, Ruhina Karani, Kaustubh Kekre, Rajalakshmi Krishnamurthi, Krishan Kumar, Souvik Kundu, Nadeem Luqman, Ananya Malik, Ramchandra Mangrulkar, Shweta Nanda, Alok Negi, K. Nirmala, Mani Padmanabhan, Abhijit S. Pandya, Riki Patel, Sunita Rao, Sayak Saha, Harshal Sanghvi, Sachin G. Sarate, Sumit Saxena, Manav Shah, Ashish Sharma, Bosky Dharmendra Sharma, Neha V. Sharma, Saurabh Sharma, Vaishnavi Sharma, Hrishikesh Shenai, Vinita Tiwari, and Narendra Singh Yadav
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- 2022
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17. The COVID-19 outbreak: social media sentiment analysis of public reactions with a multidimensional perspective
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Basant Agarwal, Vaishnavi Sharma, Priyanka Harjule, Vinita Tiwari, and Ashish Sharma
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- 2022
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18. Radiographic risk factors for intracranial hemorrhage in patients with left ventricular assist devices
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Nicholas S. Hernandez, Matthew Kanter, Vaishnavi Sharma, Andy Wang, Michael Kiernan, Delia Kryzanski, Robert Heller, Tara Nail, Ron I. Riesenburger, and James T. Kryzanski
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Heart Failure ,Risk Factors ,Rehabilitation ,Humans ,Hemorrhage ,Surgery ,Heart-Assist Devices ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,Intracranial Hemorrhages ,Retrospective Studies - Abstract
Intracranial hemorrhage (ICH) in patients with left ventricular assist devices (LVAD) is a devastating complication. Demographic risk factors for ICH in LVAD patients are defined, however anatomic predispositions to ICH are unknown. We sought to interrogate intracranial radiographic risk factors for ICH in LVAD patients.We reviewed 440 patients who received an LVAD from 2008-2021. We selected patients with CT scans of the head either before or after LVAD placement, but typically within 5 years. 288 patients (21 ICH, 267 Control) with imaging were included. A detailed chart review was performed on demographics, radiographic features, and management.The incidence of ICH in our total cohort was 8.6% (38/440). The presence of pump thrombosis (p=0.001), driveline infection (p=0.034), other hemorrhage (p=0.001), or previous placement of a cardio-defibrillator (p=.003) was associated with increased risk for ICH. An analysis of imaging revealed that the presence of a mass (p=0.006), vascular pathology (p=0.001), and microangiopathy (p=0.04) was significantly associated with ICH in LVAD patients. These radiographic features were validated with a multivariate logistic regression which confirmed presence of a mass (aOR 332.1, 95% CI: 14.7-7485.1, p0.001), vascular pathology (aOR 69.7, 95% CI: 1.8-2658.8, p=0.022), and microangiopathy (aOR 6.5, 95% CI: 1.1-37.6, p=0.035) were independently associated with ICH.Radiographic evidence of microangiopathy, intracranial mass, and vascular pathology are independent risk factors for ICH which are readily identified by imaging. We advocate that CT imaging be used to further stratify patients at highest risk of ICH during treatment with an LVAD.
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- 2022
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