Publications by authors named "Karthy Thiagarajan"

Objective: Perioperative stroke rate after surgical aortic valve replacement (SAVR) varies between 1.3% and 6.2%, whereas the operative mortality ranges between 1% and 16.

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Objective: To evaluate three commonly used alarm criteria for interpreting the significance and diagnostic value of transcranial motor evoked potential (TcMEP) changes during spinal surgery.

Materials And Methods: A systematic literature search was performed using PubMed/MEDLINE, Web of Science, and EMBASE from 1945 to January 2014. We included all those studies that were (1) randomized controlled trials, prospective studies, or retrospective cohort studies, (2) conducted among patients undergoing surgery on the spine or spinal cord with TcMEP monitoring, (3) conducted in a group of ≥50 patients, (4) that were inclusive of immediate postoperative neurological assessment (within 24 h), and (5) which were published in English.

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Objectives: To evaluate the efficacy of intraoperative transcranial Doppler monitoring in predicting perioperative strokes after carotid endarterectomy (CEA).

Methods: An electronic search of PubMed, Embase, and Web of Science databases was conducted for studies on transcranial Doppler monitoring in CEA published from January 1970 through September 2015. All titles and abstracts were independently screened on the basis of predetermined inclusion criteria, which included randomized clinical trials and prospective or retrospective cohort reviews, patients who underwent CEA with intraoperative transcranial Doppler monitoring (either middle cerebral artery velocity [MCAV] or cerebral microembolic signals [MES]) and postoperative neurologic assessments up to 30 days after the surgery, and studies including an abstract, published in English on adult humans 18 years and older with a sample size of 50 or greater.

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Transcatheter aortic valve implantation (TAVI) is a rapidly evolving safe method with decreasing incidence of perioperative stroke. There is a void in literature concerning the impact of stroke after TAVI in predicting 30-day stroke-related mortality. The primary aim of this meta-analysis was to determine whether perioperative stroke increases risk of stroke-related mortality after TAVI.

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Background And Purpose: Perioperative stroke risk following carotid endarterectomy (CEA) is reported to be approximately 2-3%. The diagnostic accuracies of intraoperative EEG and SSEP monitoring during CEA have been studied separately. However, to date, the effectiveness of simultaneous EEG and SSEP monitoring during CEA has only been evaluated in small study populations.

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Study Design: Systematic review.

Objective: The aim of the study was to determine the predictive value of combined multimodality somatosensory evoked potential (SSEP) and transcranial motor evoked potential (TcMEP) monitoring in detecting impending neurological injury during surgery for idiopathic scoliosis.

Summary Of Background Data: The diagnostic of motor evoked potential monitoring and SSEP monitoring have been established.

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Background: Perioperative stroke is a known complication in patients undergoing surgical clipping of cerebral aneurysms.

Objective: To evaluate whether intraoperative changes in somatosensory-evoked potential (SSEP) monitoring during cerebral aneurysm clipping is diagnostic of perioperative stroke.

Methods: An electronic search of PubMed, Embase, and Web of Science databases was done for studies published through May 2015 on SSEP monitoring in cerebral aneurysm clipping for predicting postoperative outcomes.

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The 30 day stroke rate following carotid endarterectomy (CEA) ranges between 2-6%. Such periprocedural strokes are associated with a three-fold increased risk of mortality. Our primary aim was to determine the diagnostic accuracy of electroencephalogram (EEG) in predicting perioperative strokes through meta-analysis of existing literature.

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Background: Periprocedural stroke after carotid endarterectomy increases long-term mortality. Intraoperative monitoring with electroencephalography (EEG) and somatosensory-evoked potentials (SSEPs) helps predict perioperative stroke risk. However, the sensitivity of each technique when used independently still remains low.

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