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The 5-factor modified Frailty Index (mFI-5) predicts adverse outcomes after elective Anterior Lumbar Interbody Fusion (ALIF).
Patel, Neil P; Elali, Faisal; Coban, Daniel; Changoor, Stuart; Shah, Neil V; Sinha, Kumar; Hwang, Ki; Faloon, Michael; Paulino, Carl B; Emami, Arash.
Afiliação
  • Patel NP; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Elali F; The State University of New York (SUNY) Downstate Health Sciences University, Department of Orthopaedic Surgery and Rehabilitation Medicine, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.
  • Coban D; The State University of New York (SUNY) Downstate Health Sciences University, Department of Orthopaedic Surgery and Rehabilitation Medicine, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.
  • Changoor S; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Shah NV; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Sinha K; The State University of New York (SUNY) Downstate Health Sciences University, Department of Orthopaedic Surgery and Rehabilitation Medicine, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.
  • Hwang K; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Faloon M; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Paulino CB; St. Joseph's University Medical Center, Department of Orthopaedic Surgery, 703 Main Street, Paterson, NJ 07503, USA.
  • Emami A; The State University of New York (SUNY) Downstate Health Sciences University, Department of Orthopaedic Surgery and Rehabilitation Medicine, 450 Clarkson Avenue, Brooklyn, NY 11203, USA.
N Am Spine Soc J ; 13: 100189, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36579159
Background: The 5-factor modified frailty index (mFI-5) has been shown to be a concise and effective tool for predicting adverse events following various spine procedures. However, there have been no studies assessing its utility in patients undergoing anterior lumbar interbody fusion (ALIF). Therefore, the aim of this study was to analyze the predictive capabilities of the mFI-5 for 30-day postoperative adverse events following elective ALIF. Methods: The National Surgical Quality Improvement Program (NSQIP) database was queried from 2010 through 2019 to identify patients who underwent elective ALIF using Current Procedural Terminology (CPT) codes in patients over the age of 50. The mFI-5 score was calculated using variables for hypertension, congestive heart failure, comorbid diabetes, chronic obstructive pulmonary disease, and partially or fully dependent functional status which were each assigned 1 point. Univariate analysis and multivariate logistic regression models were utilized to identify the associations between mFI-5 scores, and 30-day rates of overall complications, readmissions, reoperations, and mortality. Results: 11,711 patients were included (mFI-5=0: 4,026 patients, mFI-5=1: 5,392, mFI-5=2: 2,102, mFI-5=3+: 187. Multivariate logistic regression revealed that mFI-5 scores of 1 (OR: 2.2, CI: 1.2-4.2, p=0.02), 2 (OR: 3.6, CI: 1.8-7.3, p<0.001), and 3+ (OR: 7.0, CI: 2.5-19.3, p<0.001) versus a score of 0 were significant predictors of pneumonia. An mFI-5 score of 2 (OR: 1.3; CI: 1.01-1.6, p=0.04), and 3+ (OR: 1.9; CI: 1.1-3.1; p=0.01) were both independent predictors of related readmissions. An mFI score of 3+ was an independent predictor of any complication (OR: 1.5, CI: 1.01-2.2, p=0.004), UTI (OR: 2.4, CI: 1.1-5.2, p=0.02), and unplanned intubation (OR: 4.5, CI: 1.3-16.1, p=0.02). Conclusions: The mFI-5 is an independent predictor for 30-day postoperative complications, readmissions, UTI, pneumonia, and unplanned intubations following elective ALIF surgery in adults over the age of 50.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article