Publications by authors named "Akiro H Duey"

Introduction: This study aimed to compare outcomes between glenoid components in shoulder replacement surgery. Our focus was on clinical and radiographic outcomes in a matched cohort study with long-term follow-up.

Methods: This study included anatomic TSA cases performed by one fellowship-trained shoulder and elbow surgeon at one institution between 2001 and 2015.

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Background: Peripheral nerve injury commonly results in long-term disability and pain for patients. Recovery after nerve traction or crush injury is unpredictable and depends on the degree of injury. Our inability to accurately assess the severity or degree of injury hampers our ability to predict the chances for recovery or need for surgical intervention in the form of neurolysis, nerve repair, or nerve graft.

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Background: The relative clinical advantages of reverse shoulder arthroplasty (RSA) with latissimus dorsi transfer (LDT) in direct comparison to RSA with latissimus dorsi and teres major (LD and TM) transfer for the treatment of combined loss of elevation and external rotation (CLEER) are not well understood. The objective of this study was to conduct a systematic review and meta-analysis to compare the two surgeries with regards to (1) preoperative severity/indications, (2) range of motion (ROM) outcomes, (3) functional and patient-reported outcomes (PROs), and (4) complications.

Methods: Following screening of three databases in accordance with PRISMA guidelines, 13 studies were included, consisting of 91 and 115 shoulders having received RSA with LDT and with LD and TM, respectively.

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Article Synopsis
  • This study was a retrospective cohort analysis aimed at comparing opioid prescription patterns and prolonged use in patients undergoing spine surgery in ambulatory surgical centers (ASCs) versus hospital outpatient departments (HOPDs).
  • Data was collected from the Merative MarketScan Database for patients aged 18-64 who had specific spine surgeries between January 2017 and June 2021, focusing on factors like initial opioid prescriptions and post-surgery usage.
  • Results showed that ASCs were associated with a higher likelihood of initial potent opioid prescriptions but did not lead to an increase in prolonged opioid use, indicating a need for further research on postoperative pain management strategies.
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Study Design: Retrospective cohort.

Objective: This study aims to evaluate the relationship between the cervical levels fused and the degree of subsidence following anterior cervical discectomy and fusion (ACDF) procedures.

Background: Subsidence following ACDF may worsen clinical outcomes.

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Background: Acute hip fractures are a public health problem affecting primarily older adults. Chat Generative Pretrained Transformer may be useful in providing appropriate clinical recommendations for beneficial treatment.

Objective: To evaluate the accuracy of Chat Generative Pretrained Transformer (ChatGPT)-4.

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Article Synopsis
  • The study aimed to evaluate ChatGPT's safety and accuracy in diagnosing and treating cervical radiculopathy compared to established guidelines from the North American Spine Society (NASS).
  • ChatGPT-4 showed a mean completeness of responses at 46%, outperforming ChatGPT-3.5, which had a completeness of 34%, but both versions were found to be difficult to read.
  • Despite the complexity, both ChatGPT versions received a 100% safety rating from a senior spine surgeon, indicating they are safe to use in a clinical context.
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Article Synopsis
  • The study was designed as a retrospective cohort aimed at examining how overdistraction during cervical surgeries affects the subsidence of interbody cages.
  • Conducted on 68 patients who underwent anterior cervical discectomy and fusion from 2016 to 2021, the study assessed disc height at various time intervals to analyze the relationship between distraction and subsidence.
  • Results indicated that both anterior and posterior disc space subsidence were positively associated with their respective distractions, highlighting a potential risk of subsidence due to excessive distraction during surgery.
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Background: Walch B2 glenoids can present a challenge to shoulder arthroplasty surgeons. Short-term studies have demonstrated that corrective reaming to 10° of retroversion in anatomic total shoulder arthroplasty (aTSA) can result in good outcomes; however, there is little data reporting the long-term outcomes in this cohort. B2 glenoids treated with high-side reaming present a theoretical risk of early glenoid component failure as one may ream into the subchondral bone.

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Objective: Large language models, such as chat generative pre-trained transformer (ChatGPT), have great potential for streamlining medical processes and assisting physicians in clinical decision-making. This study aimed to assess the potential of ChatGPT's 2 models (GPT-3.5 and GPT-4.

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Background Context: Clinical guidelines, developed in concordance with the literature, are often used to guide surgeons' clinical decision making. Recent advancements of large language models and artificial intelligence (AI) in the medical field come with exciting potential. OpenAI's generative AI model, known as ChatGPT, can quickly synthesize information and generate responses grounded in medical literature, which may prove to be a useful tool in clinical decision-making for spine care.

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Background: Proximal humerus fracture (PHF) is a risk factor for 1-year mortality. This study aimed to determine if surgery is associated with lower mortality compared to nonoperative treatment following PHF in older patients.

Methods: This retrospective cohort study used the Medicare Limited Data set.

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Background: Although cementation of humeral stems has long been considered the gold standard for anatomic shoulder arthroplasty (aTSA), cementless, or press-fit, fixation offers a relatively cheaper and less demanding alternative, particularly in the setting of a revision procedure. However, this approach has been accompanied by concerns of implant loosening and high rates of radiolucency. In the present study, we performed a propensity-matched comparison of clinical and patient-reported outcomes between cemented and cementless fixation techniques for aTSA.

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Study Design: Comparative analysis.

Objective: To evaluate Chat Generative Pre-trained Transformer (ChatGPT's) ability to predict appropriate clinical recommendations based on the most recent clinical guidelines for the diagnosis and treatment of low back pain.

Background: Low back pain is a very common and often debilitating condition that affects many people globally.

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Background: Current discussion centers around the appropriateness of shoulder arthroplasty in elderly patients, and whether anatomic and reverse total shoulder arthroplasty yield acceptable results in this population. The purpose of this study was to examine midterm outcomes in patients 75 years and older who underwent either procedure.

Methods: A retrospective review was performed on patients who underwent anatomic total shoulder arthroplasty (aTSA) or reverse total shoulder arthroplasty (rTSA) between 2000 and 2018.

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Purpose: The utilization of reverse total shoulder arthroplasty now exceeds the incidence of anatomic shoulder arthroplasty. Previous mid-to-long-term studies on rTSA have reported a decrease in shoulder function as follow-up increased. The purpose of this study was to provide data on mid-term outcomes and implant survival in a series focusing on reverse total shoulder arthroplasty.

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Background: For anatomic total arthroscopic repair, cementless humeral fixation has recently gained popularity. However, few studies have compared clinical, radiographic, and patient-reported outcomes between cemented and press-fit humeral fixation, and none have performed follow-up for longer than 5 years. In this study, we compared long-term postoperative outcomes in patients receiving a cemented versus press-fit humeral stem anatomic arthroscopic repair.

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Background: In the past decade, the number of anatomic total shoulder arthroplasty (aTSA) procedures has steadily increased. Patients over 65 years of age comprise the vast majority of recipients, and outcomes have been well documented; however, patients are opting for definitive surgical treatment at younger ages.We aim to report on the effects of age on the long-term clinical outcomes following aTSA.

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Background Context: Venous thromboembolism is a negative outcome of elective spine surgery. However, the use of thromboembolic chemoprophylaxis in this patient population is controversial due to the possible increased risk of epidural hematoma. ChatGPT is an artificial intelligence model which may be able to generate recommendations for thromboembolic prophylaxis in spine surgery.

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Background: Osteonecrosis of the femoral head is a common indication for total hip arthroplasty (THA). It is unclear to what extent the COVID-19 pandemic has impacted its incidence. Theoretically, the combination of microvascular thromboses and corticosteroid use in patients who have COVID-19 may increase the risk of osteonecrosis.

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Background: Superior migration of the humeral head has been linked with rotator cuff dysfunction and glenoid loosening after total shoulder arthroplasty (TSA). We aimed to determine if superior migration was associated with poor shoulder function following anatomic TSA at long-term follow-up.

Methods: In this retrospective cohort study, we reviewed patients undergoing TSA by a single surgeon at an urban, academic institution.

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Background: Pain evaluation remains largely subjective in neurosurgical practice, but machine learning provides the potential for objective pain assessment tools.

Objective: To predict daily pain levels using speech recordings from personal smartphones of a cohort of patients with diagnosed neurological spine disease.

Methods: Patients with spine disease were enrolled through a general neurosurgical clinic with approval from the institutional ethics committee.

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Background: The recent increasing popularity of shoulder arthroplasty has been paralleled by a rise in prevalence of diabetes in the United States. We aimed to evaluate the impact of diabetes status on readmission and short-term complications among patients undergoing shoulder arthroplasty.

Methods: We analyzed the Healthcare Cost and Utilization Project National Readmissions Database (NRD) between the years 2016-2018.

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Study Design: Retrospective cohort.

Objective: Billing and coding-related administrative tasks are a major source of healthcare expenditure in the United States. We aim to show that a second-iteration Natural Language Processing (NLP) machine learning algorithm, XLNet, can automate the generation of CPT codes from operative notes in ACDF, PCDF, and CDA procedures.

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Purpose: Predict nonhome discharge (NHD) following elective anterior cervical discectomy and fusion (ACDF) using an explainable machine learning model.

Methods: 2227 patients undergoing elective ACDF from 2008 to 2019 were identified from a single institutional database. A machine learning model was trained on preoperative variables, including demographics, comorbidity indices, and levels fused.

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Synopsis of recent research by authors named "Akiro H Duey"

  • - Akiro H Duey's recent research predominantly focuses on the evaluation of surgical outcomes and clinical decision-making processes in orthopedic and spine surgeries, with particular interest in anterior cervical discectomy and fusion (ACDF) procedures, shoulder arthroplasty, and acute hip fractures.
  • - His studies investigate factors influencing postoperative subsidence after ACDF, the effectiveness of large language models like ChatGPT in generating clinical guidelines and treatment recommendations, and the impact of surgical interventions on mortality in older patients with specific fractures.
  • - Akiro H Duey's findings emphasize the potential role of artificial intelligence in enhancing clinical decision-making while simultaneously assessing the long-term efficacy of different surgical techniques and their implications for patient outcomes.