Publications by authors named "Sara D Pasik"

Study Design: Retrospective analysis.

Objective: To assess perioperative complication rates and readmission rates after ACDF in a patient population of advanced age.

Summary Of Background Data: Readmission rates after ACDF are important markers of surgical quality and, with recent shifts in reimbursement schedules, they are rapidly gaining weight in the determination of surgeon and hospital reimbursement.

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Article Synopsis
  • The study is a retrospective analysis using a national database to assess the costs and outcomes of using computer-assisted navigation (CAN) during lumbar spinal fusion surgeries.
  • The research found that out of over 88,000 patients, those who had surgery with CAN experienced lower 30-day and 90-day readmission rates (5.3% and 8.8% vs. 3.1% and 5.2% respectively) but incurred higher costs (average charges of $161,018 with CAN vs. $150,947 without).
  • The conclusions suggest that while CAN is more expensive, it offers improved patient outcomes in terms of reduced readmission rates, highlighting its potential benefits in spinal surgery.
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Study Design: Retrospective cohort study of 2016 Healthcare Cost and Utilization Project Nationwide Readmissions Database (NRD).

Objective: The aim was to evaluate cost and outcomes associated with navigation use on posterior cervical fusion (PCF) surgery patients.

Summary Of Background Data: Computer-assisted navigation systems demonstrate comparable outcomes with hardware placement and procedural speed compared with traditional techniques.

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Purpose: The purpose of this study is to analyze posts shared on Instagram, Twitter, and Reddit referencing scoliosis surgery to evaluate content, tone, and perspective.

Methods: Public posts from Instagram, Twitter, and Reddit were parsed in 2020-2021 and selected based on inclusion of the words 'scoliosis surgery' or '#scoliosissurgery. 100 Reddit posts, 5022 Instagram posts, and 1414 tweets were included in analysis.

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Wilderness medicine (WM) education has traditionally been conducted as in-person training. The current COVID-19 pandemic has forced medical schools to cancel clerkships and clinical electives and pivot to remote education. With online media modalities, it is possible to conduct a WM student elective remotely.

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Purpose: To assess the safety of locoregional treatment (LRT) combined with nivolumab for intermediate and advanced hepatocellular carcinoma (HCC).

Materials And Methods: A single-center retrospective review included 29 patients undergoing 41 LRTs-transarterial chemoembolization or yttrium-90 transarterial radioembolization-60 days before or concurrently with nivolumab. Demographic, clinical, and laboratory values and adverse events were reviewed before and after nivolumab initiation and after each LRT.

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Purpose: Dose calculation for transarterial radioembolization (TARE) with glass yttrium-90 (Y) labeled microspheres is based on liver lobe and tumor volumes, currently measured from preprocedural MRI or CT. The variable time between MRI and radioembolization may not account for relevant tumor progression. Advances in cone beam computed tomography (CBCT) allow for intra-procedural assessment of these volumes that avoids this factor.

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Background: Asymptomatic blood pressure elevation is common in the inpatient setting. National guidelines recommend treating with oral agents to slowly decrease blood pressure; however, many clinicians use intravenous antihypertensive medications, which can lead to unpredictable changes in blood pressure.

Objective: To decrease the number of inappropriate orders (without symptoms of hypertensive emergency or order for NPO) of intravenous antihypertensives and adverse events associated with intravenous orders.

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Objective: The aim of our study was to compare yttrium -90 (Y) dosimetry obtained from pre-therapy Tc-macroaggregated albumin (MAA) SPECT/CT versus post-therapy PET/MRI imaging among patients with primary or metastatic hepatic tumors.

Materials And Methods: Prior to Y radioembolization (RE), 32 patients underwent a scan using MAA mimicking Y distribution. After RE with Y microspheres, the patients were imaged on a PET/MRI system.

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Study Design: A cross-sectional database study.

Objective: The aim of this study was to train and validate machine learning models to identify risk factors for complications following posterior lumbar spine fusion.

Summary Of Background Data: Machine learning models such as artificial neural networks (ANNs) are valuable tools for analyzing and interpreting large and complex datasets.

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Selective serotonin reuptake inhibitors (SSRIs) are widely prescribed to treat anxiety and depression, yet they paradoxically increase anxiety during initial treatment. Acute administration of these drugs prior to learning can also enhance Pavlovian cued fear conditioning. This potentiation has been previously reported to depend upon the bed nucleus of the stria terminalis (BNST).

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