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Tytuł:
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An Artificial Neural Network Model for the Prediction of Perioperative Blood Transfusion in Adult Spinal Deformity Surgery.
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Autorzy:
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De la Garza Ramos R; Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
Hamad MK; Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
Ryvlin J; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
Krol O; Division of Spinal Surgery, Department of Orthopaedic and Neurological Surgery, NYU School of Medicine, New York, NY 10467, USA.
Passias PG; Division of Spinal Surgery, Department of Orthopaedic and Neurological Surgery, NYU School of Medicine, New York, NY 10467, USA.
Fourman MS; Spine Surgery Service, Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY 10467, USA.
Shin JH; Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA.
Yanamadala V; Hartford HealthCare, Westport, CT 06880, USA.
Gelfand Y; Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
Murthy S; Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
Yassari R; Spine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.; Department of Neurological Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY 10467, USA.
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Źródło:
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Journal of clinical medicine [J Clin Med] 2022 Jul 29; Vol. 11 (15). Date of Electronic Publication: 2022 Jul 29.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: Basel, Switzerland : MDPI AG, [2012]-
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References:
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Contributed Indexing:
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Keywords: adult spinal deformity; artificial intelligence; neural network; scoliosis; transfusion
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Entry Date(s):
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Date Created: 20220812 Latest Revision: 20220815
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Update Code:
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20240104
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PubMed Central ID:
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PMC9369471
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DOI:
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10.3390/jcm11154436
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PMID:
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35956053
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Prediction of blood transfusion after adult spinal deformity (ASD) surgery can identify at-risk patients and potentially reduce its utilization and the complications associated with it. The use of artificial neural networks (ANNs) offers the potential for high predictive capability. A total of 1173 patients who underwent surgery for ASD were identified in the 2017-2019 NSQIP databases. The data were split into 70% training and 30% testing cohorts. Eighteen patient and operative variables were used. The outcome variable was receiving RBC transfusion intraoperatively or within 72 h after surgery. The model was assessed by its sensitivity, positive predictive value, F1-score, accuracy (ACC), and area under the curve (AUROC). Average patient age was 56 years and 63% were female. Pelvic fixation was performed in 21.3% of patients and three-column osteotomies in 19.5% of cases. The transfusion rate was 50.0% (586/1173 patients). The best model showed an overall ACC of 81% and 77% on the training and testing data, respectively. On the testing data, the sensitivity was 80%, the positive predictive value 76%, and the F1-score was 78%. The AUROC was 0.84. ANNs may allow the identification of at-risk patients, potentially decrease the risk of transfusion via strategic planning, and improve resource allocation.
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