Publications by authors named "Anastasia Gazgalis"

Background: A desire to control cost and improve patient outcomes following arthroplasty led to the introduction of the Center for Medicare and Medicaid Service Comprehensive Care for Joint Replacement Program. Hemi and total hip arthroplasty for femoral neck fracture has been shown to have worse outcomes than those for osteoarthritis. However, little has been studied about the effect of comorbidities on costs associated with arthroplasty for femoral neck fracture.

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Reconstruction of the hip joint in the setting of metastatic lesions of the acetabulum is particularly challenging and can carry significant morbidity for patients who are already medically frail. Novel techniques to minimize morbidity and optimize function warrant exploration for these patients. Here, we present a 50-year-old woman was unable to walk secondary to metastatic breast cancer involving the acetabulum with articular disruption.

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Article Synopsis
  • Tourniquet use during total knee arthroplasty (TKA) is debated, and this study investigates its impact on postoperative opioid use, hypothesizing that longer tourniquet times lead to increased opioid utilization.
  • The study analyzed 911 TKA cases, categorizing them by tourniquet time: "No Use," "Low Use," "Medium Use," and "Prolonged Use," finding that those in the Medium and Prolonged groups required significantly more opioids compared to the No Use group.
  • Despite differences in opioid consumption linked to tourniquet time, functional outcomes and patient-reported results after one year were similar across all groups, suggesting that longer tourniquet times do not adversely affect long
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Background: Ulnar collateral ligament (UCL) reconstruction has received a unique level of attention in the press and social media. There has also been an increasing use of the internet by patients to seek medical information. Concern exists regarding the quality and comprehensibility of online information when used for patient education.

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Background: It is hypothesized that suboptimal soft tissue and collateral ligament balance is a cause of patient dissatisfaction following total knee arthroplasty (TKA). This analysis examined the association between compartment pressures during TKA and patient-reported outcome measurements (PROMs).

Methods: This single-institution, retrospective cohort study of prospectively collected compartment pressure data measured during TKA comprised 145 patients who underwent surgery between 2015 and 2021 and completed 1-year follow-up PROMs.

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»: Bilateral total knee arthroplasty (BTKA) is an effective surgical treatment for bilateral knee arthritis and can be performed as a simultaneous surgery under a single anesthetic setting or as staged surgeries on separate days.

»: Appropriate patient selection is important for simultaneous BTKA with several factors coming into consideration such as age, comorbidities, work status, and home support, among others.

»: While simultaneous BTKA is safe when performed on appropriately selected patients, current evidence suggests that the risk of complications after simultaneous BTKA remains higher than for staged BTKA.

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Purpose: This study aimed to develop machine learning (ML) models to predict hospital admission (overnight stay) as well as short-term complications and readmission rates following anterior cruciate ligament reconstruction (ACLR). Furthermore, we sought to compare the ML models with logistic regression models in predicting ACLR outcomes.

Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried for patients who underwent elective ACLR from 2012 to 2018.

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Background: The Fragility Index (FI) and Reverse Fragility Index are powerful tools to supplement the value in evaluation of randomized clinical trial (RCT) outcomes. These metrics are defined as the number of patients needed to change the significance level of an outcome. The purpose of this study was to calculate these metrics for published RCTs in total joint arthroplasty (TJA).

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Background: Artificial intelligence (AI) and machine learning (ML) modeling in hip and knee arthroplasty (total joint arthroplasty [TJA]) is becoming more commonplace. This systematic review aims to quantify the accuracy of current AI- and ML-based application for cognitive support and decision-making in TJA.

Methods: A comprehensive search of publications was conducted through the EMBASE, Medline, and PubMed databases using relevant keywords to maximize the sensitivity of the search.

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»: The optimal management of the patella during total knee arthroplasty (TKA) remains a controversial topic with no consensus.

»: Patellar management techniques during TKA include patellar retention or resurfacing with or without patellaplasty, as well as circumferential denervation and partial lateral facetectomy (PLF).

»: Special considerations such as patient age, etiology of disease, implant design, and surgeon preference should be accounted for when determining optimal management.

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Purpose: Robotic-assisted total knee arthroplasty (RA-TKA) was introduced to improve limb alignment, component positioning, soft-tissue balance and to minimize surgical outliers. This study investigates perioperative outcomes, complications, and early patient-reported outcome measures (PROMs) of one imageless RA-TKA system compared to conventional method TKA (CM-TKA) at 24-month follow-up.

Methods: This multi-surgeon retrospective cohort analysis compared 111 imageless RA-TKA patients to 110 CM-TKA patients (n = 221).

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Background: Robot-assisted surgery was developed to improve accuracy and outcomes in total knee arthroplasty (TKA). One important determinant of TKA success is a well-balanced knee throughout the range of motion. The purpose of this study is to determine if robot-assisted TKA (RA-TKA) results in improved intracompartmental ligament balance compared with conventional jig-based instrumentation (CM-TKA).

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