Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning–Based Study

Liu, Wencai; Ying, Hongmei; Liao, Weijie; Li, Meng-Pan; Luo, Kun; Sun, Bo-Lin; Liu, Zhi‐Li; Liu, Jiaming

doi:10.1016/j.wneu.2022.03.060

Cited by 13 publications

(20 citation statements)

References 34 publications

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“…Furthermore, the detection of increased PD-1/PD-L1 expression in both animal models of S. aureus osteomyelitis and human patients with the disease suggests its relevance in the pathogenesis, and at the cellular level, S. aureus infection has been demonstrated to induce the expression of PD-1/PD-L1 in bone marrow macrophages . Nuclear imaging, which employs a radiolabeled anti-PD-L1 probe, enables non-invasive, sensitive, and quantitative assessments of PD-L1 expression on a whole-body scale (Niemeijer et al, 2018;Zhou M. et al, 2022). Various preclinical studies in onco-immunology have d e m o n s t r a t e d t h e f e a s i b i l i t y o f t h i s a p p r o a c h i n immunocompetent mouse models (Sun et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Bone and joint infection: past, present, and future

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Discussionmentioning

confidence: 99%

Bone and joint infection: past, present, and future

2024

Frontiers Research Topics

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“…86 Another model, XGBoost, accurately predicted readmission rates after fusion surgery in a 38 788-patient cohort. 87 Reoperation rates for lumbar diskectomies 88 and laminectomies 89 and reoperations indicated for infection [90][91][92] have also been investigated using ML.…”

Section: Unplanned Hospital Readmissionsmentioning

confidence: 99%

Machine Learning in Spine Surgery: A Narrative Review

Adida,

Legarreta,

Hudson

et al. 2023

Neurosurgery

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Artificial intelligence and machine learning (ML) can offer revolutionary advances in their application to the field of spine surgery. Within the past 5 years, novel applications of ML have assisted in surgical decision-making, intraoperative imaging and navigation, and optimization of clinical outcomes. ML has the capacity to address many different clinical needs and improve diagnostic and surgical techniques. This review will discuss current applications of ML in the context of spine surgery by breaking down its implementation preoperatively, intraoperatively, and postoperatively. Ethical considerations to ML and challenges in ML implementation must be addressed to maximally benefit patients, spine surgeons, and the healthcare system. Areas for future research in augmented reality and mixed reality, along with limitations in generalizability and bias, will also be highlighted.

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“…Machine learning and artificial intelligence is a rapidly expanding field that shows immense promise in almost every field of medicine. There are already multiple reports highlighting the value of artificial intelligence in predicting patient outcomes spanning oncology, neurosurgery, and general surgery [84][85][86][87]. Furthermore, there existseveral studies investigating the potential of machine learning in optimizing diabetes management [88][89][90][91].…”

Section: Emergence Of Machine Learning In Predicting Spine Surgery Ou...mentioning

confidence: 99%

Diabetes management in spinal surgery

Michel

Lucke‐Wold

2022

J Clin Images Med Case Rep

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Diabetes mellitus can lead to long-standing complications in multiple arenas. An area that is often overlooked is implications for major surgery. Spinal decompression and fusions have unique challenges in the diabetic patient. In this review, we briefly highlight the pathophysiology of diabetes mellitus prior to examining implications for spinal surgery. We focus on the wound healing process, surgical infection risk, and delayed fusion. The paper then transitions to a focus on early diagnostics as well as pre-operative glucose control. Finally, we highlight important management strategies post operatively, continued necessity of monitoring, and emerging treatment and diagnostic approaches. This paper will serve as a key clinical guide that clinicians can utilize for diagnostic, management, and follow-up planning. Keywords: Diabetes mellitus; Spine surgery; Management considerations; Diagnostics.

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Using Preoperative and Intraoperative Factors to Predict the Risk of Surgical Site Infections After Lumbar Spinal Surgery: A Machine Learning–Based Study

Cited by 13 publications

References 34 publications

Bone and joint infection: past, present, and future

Bone and joint infection: past, present, and future

Machine Learning in Spine Surgery: A Narrative Review

Diabetes management in spinal surgery

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