Development of a machine learning algorithm to identify surgical candidates for hip and knee arthroplasty without in-person evaluation

Crawford, Alexander M; Karhade, Aditya V.; Agaronnik, Nicole; Lightsey, Harry M.; Xiong, Grace; Schwab, Joseph H.; Schoenfeld, Andrew J.; Simpson, Andrew K.

doi:10.1007/s00402-023-04827-9

Cited by 10 publications

(4 citation statements)

References 31 publications

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“…In brief, Research Patient Data Registry is an internally maintained registry that combines clinical and billing related information. It has been utilized for numerous works within the orthopedic and spine literature in the past including studies of SEA [ 11 , 14 , 22 , 24 , 25 ]. Patients were excluded if their CT scans were severely motion degraded, if they were diagnosed with abscesses that spanned the entirety of their spine (due to inability to abstract vertebral HUs outside of the scope of the infection), and if they had prior surgical instrumentation obstructing HU measurement.…”

Section: Methodsmentioning

confidence: 99%

The utility of vertebral Hounsfield units as a prognostic indicator of adverse events following treatment of spinal epidural abscess

Crawford,

Striano,

Amakiri

et al. 2024

North American Spine Society Journal (NASSJ)

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Section: Methodsmentioning

confidence: 99%

The utility of vertebral Hounsfield units as a prognostic indicator of adverse events following treatment of spinal epidural abscess

Crawford,

Striano,

Amakiri

et al. 2024

North American Spine Society Journal (NASSJ)

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“…A group from Boston (Massachusetts, USA) undertook a retrospective study across two academic medical centres and three community hospitals of 158 patients in an attempt to establish if machine learning can be used to optimize referral pathways. 1 Their primary outcome was surgical indication for joint replacement. They developed and tested five machine learning algorithms to predict the likelihood of surgical indication on new patients during telemedicine encounters for consideration of hip or knee arthroplasty.…”

Section: Machine Learning To Identify Surgical Candidates For Hip And...mentioning

confidence: 99%

Hip & Pelvis

2023

Bone &Amp; Joint 360

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The June 2023 Hip & Pelvis Roundup360 looks at: Machine learning to identify surgical candidates for hip and knee arthroplasty: a viable option?; Poor outcome after debridement and implant retention; Can you cement polyethylene liners into well-fixed acetabular shells in hip revision?; Revision stem in primary arthroplasties: the Exeter 44/0 125 mm stem; Depression and anxiety: could they be linked to infection?; Does where you live affect your outcomes after hip and knee arthroplasties?; Racial disparities in outcomes after total hip arthroplasty and total knee arthroplasty are substantially mediated by socioeconomic disadvantage both in black and white patients.

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“…Moreover, can osteoarthritis be seen and viewed as a chronic stressor that may perpetuate its progression if cognition of fear, self efficacy, and beliefs based on misinformation or aging myths and others prevail? Indeed, even if it hoped that a machine learning algorithm can be duly developed to identify potential surgical candidates for joint replacement surgery in end-stage osteoarthritis cases without an in-person evaluation or physical examination, can this system be internally or externally validated if patients personal needs, voices and holistic rather than standard radiographic evaluations are obviated and exclude the weight of depressive factors is the course of predicting need and health recovery potential [69]. This in our view is clearly an immense albeit artificial barrier to the future of many osteoarthritis cases who might be helped conservatively.…”

Section: Future Researchmentioning

confidence: 99%

Osteoarthritis and Depression Update: 2023-Can the Stress and Coping Model Help?

Marks

2023

JARH

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Background Osteoarthritis and depression are both key barriers to healthy aging and greatly heighten the risk for many negative health issues that seriously impact life quality. When combined what are the implications? Aim This mini review examines 2023 data pertaining to osteoarthritis and depression and older adults and a possible theoretical framework of stress that may direct our approaches in the future. Methods and procedures Articles published between January 1 and August 15 2023 that addressed the current topic of interest and that were extracted from PUBMED, PubMed Central, Science Direct, and Google Scholar were carefully read and their key points arepresented in narrative form. Results As in the past, very few tangible theory-based prospective analyses that employ valid measures of depression and examine any association of any form of osteoarthritis longitudinally and in a consistent manner prevail. Several reports use the same or similar large cohort to draw upon, and find various degrees of clinical implications, but this may not embrace the need for more inclusivity, sampling strategies, control and diversity issues, as well as embracing the role of cognitions positive and negative. Conclusion Without efforts to develop sound research designs of diverse and carefully differentiated osteoarthritis substantive samples it is impossible to delineate the origin or implications of the osteoarthritis-depression linkage reported currently or arrive at a deep understanding of its relevance, to life quality and public health costs. What is needed to protect against or minimize either or both these clinically related disabling correlates in the aged population warrants timely study.

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Development of a machine learning algorithm to identify surgical candidates for hip and knee arthroplasty without in-person evaluation

Cited by 10 publications

References 31 publications

The utility of vertebral Hounsfield units as a prognostic indicator of adverse events following treatment of spinal epidural abscess

The utility of vertebral Hounsfield units as a prognostic indicator of adverse events following treatment of spinal epidural abscess

Hip & Pelvis

Osteoarthritis and Depression Update: 2023-Can the Stress and Coping Model Help?

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