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Yagi M, Yamamoto T, Iga T, Ogura Y, Suzuki S, Ozaki M, Takahashi Y, Tsuji O, Nagoshi N, Kono H, Ogawa J, Matsumoto M, Nakamura M, Watanabe K. Development and Validation of Machine Learning-Based Predictive Model for Prolonged Hospital Stay after Decompression Surgery for Lumbar Spinal Canal Stenosis. Spine Surg Relat Res 2024; 8:315-321. [PMID: 38868786 PMCID: PMC11165502 DOI: 10.22603/ssrr.2023-0255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/25/2023] [Indexed: 06/14/2024] Open
Abstract
Introduction Precise prediction of hospital stay duration is essential for maximizing resource utilization during surgery. Existing lumbar spinal stenosis (LSS) surgery prediction models lack accuracy and generalizability. Machine learning can improve accuracy by considering preoperative factors. This study aimed to develop and validate a machine learning-based model for estimating hospital stay duration following decompression surgery for LSS. Methods Data from 848 patients who underwent decompression surgery for LSS at three hospitals were examined. Twelve prediction models, using 79 preoperative variables, were developed for postoperative hospital stay estimation. The top five models were chosen. Fourteen models predicted prolonged hospital stay (≥14 days), and the most accurate model was chosen. Models were validated using a randomly divided training sample (70%) and testing cohort (30%). Results The top five models showed moderate linear correlations (0.576-0.624) between predicted and measured values in the testing sample. The ensemble of these models had moderate prediction accuracy for final length of stay (linear correlation 0.626, absolute mean error 2.26 days, standard deviation 3.45 days). The c5.0 decision tree model was the top predictor for prolonged hospital stay, with accuracies of 89.63% (training) and 87.2% (testing). Key predictors for longer stay included JOABPEQ social life domain, facility, history of vertebral fracture, diagnosis, and Visual Analogue Scale (VAS) of low back pain. Conclusions A machine learning-based model was developed to predict postoperative hospital stay after LSS decompression surgery, using data from multiple hospital settings. Numerical prediction of length of stay was not very accurate, although favorable prediction of prolonged stay was accomplished using preoperative factors. The JOABPEQ social life domain score was the most important predictor.
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Affiliation(s)
- Mitsuru Yagi
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
- Department of Orthopedic Surgery, International University of Health and Welfare, School of Medicine, Chiba, Japan
| | - Tatsuya Yamamoto
- Department of Orthopedic Surgery, Japanese Red Cross Shizuoka Hospital, Shizuoka, Japan
| | - Takahito Iga
- Department of Orthopedic Surgery, Keiyu Orthopedic Hospital, Gunma, Japan
| | - Yoji Ogura
- Department of Orthopedic Surgery, Tachikawa Hospital, Tokyo, Japan
| | - Satoshi Suzuki
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Ozaki
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yohei Takahashi
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Osahiko Tsuji
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Narihito Nagoshi
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hitoshi Kono
- Department of Orthopedic Surgery, Keiyu Orthopedic Hospital, Gunma, Japan
| | - Jun Ogawa
- Department of Orthopedic Surgery, Japanese Red Cross Shizuoka Hospital, Shizuoka, Japan
| | - Morio Matsumoto
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Masaya Nakamura
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kota Watanabe
- Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan
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Liang J, Wang L, Song J, Zhao Y, Zhang K, Zhang X, Hu C, Tian D. The impact of nursing interventions on the rehabilitation outcome of patients after lumbar spine surgery. BMC Musculoskelet Disord 2024; 25:354. [PMID: 38704573 PMCID: PMC11069211 DOI: 10.1186/s12891-024-07419-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 04/05/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND This study aimed to investigate the impact of nursing interventions on the rehabilitation outcomes of patients after lumbar spine surgery and to provide effective references for future postoperative care for patients undergoing lumbar spine surgery. METHODS The study included two groups: a control group receiving routine care and an observation group receiving additional comprehensive nursing care. The comprehensive care encompassed postoperative rehabilitation, pain, psychological, dietary management, and discharge planning. The Visual Analogue Scale (VAS), Oswestry Disability Index (ODI), Short-Form 36 (SF-36) Health Survey, self-rating depression scale (SDS) and self-rating anxiety scale(SAS) were used to assess physiological and psychological recovery. Blood albumin, haemoglobin, neutrophil counts, white blood cell counts, red blood cell counts, inflammatory markers (IL-6, IL-10, and IFN-γ) were measured, and the incidence of postoperative adverse reactions was also recorded. RESULTS Patients in the observation group exhibited significantly improved VAS, ODI, SF-36, SDS and SAS scores assessments post-intervention compared to the control group (P < 0.05). Moreover, levels of IL-6, IL-10, and IFN-γ were more favorable in the observation group post-intervention (P < 0.05), indicating a reduction in inflammatory response. There was no significant difference in the incidence of postoperative adverse reactions between the groups (P > 0.05), suggesting that the comprehensive nursing interventions did not increase the risk of adverse effects. CONCLUSION Comprehensive nursing interventions have a significant impact on the postoperative recovery outcomes of patients with LSS, alleviating pain, reducing inflammation levels, and improving the overall quality of patient recovery without increasing the patient burden. Therefore, in clinical practice, it is important to focus on comprehensive nursing interventions for patients with LSS to improve their recovery outcomes and quality of life.
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Affiliation(s)
- Jun Liang
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liyan Wang
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jialu Song
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yu Zhao
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Keyan Zhang
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xia Zhang
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Cailing Hu
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dong Tian
- Department of Orthopaedic Surgery, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, No. 99, Longcheng Street, Taiyuan city, Shanxi Province , 030032, China.
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Ruggiero N, Soliman MAR, Kuo CC, Aguirre AO, Quiceno E, Saleh J, Yeung K, Khan A, Hess RM, Lim J, Smolar DE, Pollina J, Mullin JP. The Effect of Diabetes on Complications after Spinal Fusion: A Systematic Review and Meta-Analysis. World Neurosurg 2024; 185:e976-e994. [PMID: 38460815 DOI: 10.1016/j.wneu.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
OBJECTIVE Spinal fusion procedures are used to treat a wide variety of spinal pathologies. Diabetes mellitus (DM) has been shown to be a significant risk factor for several complications following these procedures in previous studies. To the authors' knowledge, this is the first systematic review and meta-analysis elucidating the relationship between DM and complications occurring after spinal fusion procedures. METHODS Systematic literature searches of PubMed and EMBASE were performed from their inception to October 1, 2022, to identify studies that directly compared postfusion complications in patients with and without DM. Studies met the prespecified inclusion criteria if they reported the following data for patients with and without DM: (1) demographics; (2) postspinal fusion complication rates; and (3) postoperative clinical outcomes. The included studies were then pooled and analyzed. RESULTS Twenty-eight studies, with a cumulative total of 18,853 patients (2695 diabetic patients), were identified that met the inclusion criteria. Analysis showed that diabetic patients had significantly higher rates of total number of postoperative complications (odds ratio [OR] = 1.33; 95% confidence interval [CI] = 1.12-1.58; P = 0.001), postoperative pulmonary complications (OR=2.01; 95%CI=1.31-3.08; P = 0.001), postoperative renal complications (OR=2.20; 95%CI=1.27-3.80; P = 0.005), surgical site infection (OR=2.65; 95%CI=2.19-3.20; P < 0.001), and prolonged hospital stay (OR=1.67; 95%CI=1.47-1.90; P < 0.001). CONCLUSIONS Patients with DM had a significantly higher risk of developing complications after spinal fusion, particularly pulmonary and renal complications, in addition to surgical site infections and had a longer length of stay. These findings are important for informed discussions of surgical risks with patients and families before surgery.
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Affiliation(s)
- Nicco Ruggiero
- Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA
| | - Mohamed A R Soliman
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA; Department of Neurosurgery, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Cathleen C Kuo
- Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA
| | - Alexander O Aguirre
- Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA
| | - Esteban Quiceno
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - Julian Saleh
- Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA
| | | | - Asham Khan
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - Ryan M Hess
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - Jaims Lim
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - David E Smolar
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - John Pollina
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA
| | - Jeffrey P Mullin
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences at University at Buffalo, Buffalo, New York, USA; Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, New York, USA.
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The 5-factor modified Frailty Index (mFI-5) predicts adverse outcomes after elective Anterior Lumbar Interbody Fusion (ALIF). NORTH AMERICAN SPINE SOCIETY JOURNAL 2022; 13:100189. [PMID: 36579159 PMCID: PMC9791584 DOI: 10.1016/j.xnsj.2022.100189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
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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Cui P, Wang P, Hu X, Kong C, Lu S. Comparison of Perioperative Outcomes in Patients Undergoing Short-Level Lumbar Fusion Surgery After Implementing Enhanced Recovery After Surgery: A Propensity Score Matching Analysis Focusing on Young-Old and Old-Old. Clin Interv Aging 2022; 17:1793-1801. [PMID: 36506849 PMCID: PMC9733441 DOI: 10.2147/cia.s389927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/27/2022] [Indexed: 12/12/2022] Open
Abstract
Background There were exponentially increased studies focused on revealing the satisfactory outcomes after implementing enhanced recovery after surgery (ERAS) in patients undergoing lumbar fusion surgery. However, little attention has been paid to the impact of chronologic age alone on perioperative outcomes. Methods In the present study, patients were dichotomized into two groups: young-old (65-79 years), and old-old (80 years and older). Given the heterogeneity and age-related comorbidities in this population and the need to compare similar groups, we performed propensity score matching for gender, body mass index (BMI), operation time, American Society of Anesthesiologists (ASA) grade, Charlson Comorbidity Index (CCI), fusion levels and frail status. Perioperative outcomes were compared between two groups. Results In our study, we found there were significant discrepancies in length of stay (LOS) (7.17 ± 2.81 vs 8.11 ± 3.57 days, p = 0.031) and postoperative nausea and vomiting (3.7% vs 11.0%, p = 0.038); however, there were no significant differences in C-reactive protein (21.50 ± 26.52 vs 19.22 ± 22.04 mg/L, p = 0.490), overall complication rates (24.8% vs 33.0%, p = 0.179), ambulation time (2.89 ± 1.34 vs 2.55 ± 1.49 days, p = 0.078) or removal of urinary catheter time (2.47 ± 1.44 vs 2.32 ± 1.40 days, p = 0.446). Conclusion There were few differences in perioperative outcomes between young-old and old-old groups. Despite similar postoperative complication rates, the old-old group might experience longer LOS when complications occur. More importantly, current outcomes suggested that chronologic age alone does not appear to have the capacity to reflect the tolerance of elderly patients to surgery.
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Affiliation(s)
- Peng Cui
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China,National Clinical Research Center for Geriatric Diseases, Beijing, People’s Republic of China
| | - Peng Wang
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China,National Clinical Research Center for Geriatric Diseases, Beijing, People’s Republic of China
| | - Xinli Hu
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China,National Clinical Research Center for Geriatric Diseases, Beijing, People’s Republic of China
| | - Chao Kong
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China,National Clinical Research Center for Geriatric Diseases, Beijing, People’s Republic of China,Correspondence: Chao Kong; Shibao Lu, Email ;
| | - Shibao Lu
- Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China,National Clinical Research Center for Geriatric Diseases, Beijing, People’s Republic of China
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Kuo CC, Hess RM, Soliman MAR, Khan A, Pollina J, Mullin JP. Predicting prolonged length of stay in patients undergoing transforaminal lumbar interbody fusion. Acta Neurochir (Wien) 2022; 164:2655-2665. [PMID: 35927508 DOI: 10.1007/s00701-022-05334-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 07/25/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND With growing emphasis on high-value care, many institutions have been working on improving surgical efficiency, quality, and complication reduction. Unfortunately, data are limited regarding perioperative factors that may influence length of stay (LOS) following transforaminal lumbar interbody fusion (TLIF). We sought to design a predictive algorithm that determined patients at risk of prolonged LOS after TLIF. The goal was to identify patients who would benefit from preoperative intervention aimed to reduce LOS. METHODS We conducted a review of perioperative data for patients who underwent TLIF between 2014 and 2019. Univariate and multivariate stepwise regression models were used to analyze risk factor effects on postoperative LOS. RESULTS Two hundred and sixty-nine patients were identified (57.2% women). Mean age at surgery was 61.7 ± 12.3 years. Mean postoperative LOS was 3.08 ± 1.54 days. In multivariate analysis, American Society of Anesthesiologists class (odds ratio [OR] = 1.441, 95% confidence interval [CI] 1.321-1.571), preoperative functional status (OR = 1.237, 95% CI 1.122-1.364), Oswestry Disability Index (OR = 1.010, 95% CI 1.004-1.016), and estimated blood loss (OR = 1.050, 95% CI 1.003-1.101) were independent risk factors for postoperative LOS ≥ 5 days. The final model had an area under the curve of 0.948 with good discrimination and was implemented in the form of an online calculator ( https://spine.shinyapps.io/TLIF_LOS/ ). CONCLUSION The prediction tool derived can be useful for assessing likelihood of prolonged LOS in patients undergoing TLIF. With external validation, this calculator may ultimately assist healthcare providers in identifying patients at risk for prolonged hospitalization so preoperative interventions can be undertaken to reduce LOS, thus reducing resource utilization.
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Affiliation(s)
- Cathleen C Kuo
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Ryan M Hess
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY, 14203, USA.,Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA
| | - Mohamed A R Soliman
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY, 14203, USA.,Department of Neurosurgery, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Asham Khan
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY, 14203, USA.,Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA
| | - John Pollina
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY, 14203, USA.,Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA
| | - Jeffrey P Mullin
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY, 14203, USA. .,Department of Neurosurgery, Buffalo General Medical Center, Kaleida Health, Buffalo, NY, USA.
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Feeley A, McDonnell J, Feeley I, Butler J. Obesity: An Independent Risk Factor for Complications in Anterior Lumbar Interbody Fusion? A Systematic Review. Global Spine J 2022; 12:1894-1903. [PMID: 35193409 PMCID: PMC9609508 DOI: 10.1177/21925682211072849] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
STUDY DESIGN Systematic Review and Meta-analysis. OBJECTIVES Raised patient BMI is recognised as a relative contraindication to posterior lumbar interbody fusion (PLIF) due to the anaesthetic challenges, difficult positioning and increased intraoperative and postoperative complications, with the relative risk rising in patients with a BMI >25 kg/m2. The impact of obesity defined as a BMI > 30 kg/m2 on Anterior Lumbar Interbody Fusion (ALIF) outcomes is not yet established. The aim of this review was to evaluate if the presence of a raised BMI in patients undergoing ALIF procedures was an independent risk factor for intra- and postoperative complications. METHODS A systematic review of search databases PubMed; Google Scholar and OVID Medline was made to identify studies related to complications in patients with increased body mass index during anterior lumbar interbody fusion. PRISMA guidelines were utilised for this review. Complication rates in raised BMI patient cohort was compared to normal BMI complication rates with meta-analysis where available. RESULTS 315 articles returned with search criteria applied. Six articles were included for review, with 2190 patients included for analysis. Vascular complications in obese vs. non-obese patients undergoing the anterior approach demonstrate no significant difference in complication rates (P = .62; CI = -.03-.02). Obesity is found to result in an increased rate of overall complications (P = .002; CI = .04-.16). CONCLUSIONS Obesity was demonstrated to have an impact on overall complication rates in Anterior Lumbar Interbody Fusion procedures, with postoperative complications including wound infections and lower fusion rates more common in patients in increased BMIs. Increased focus on patient positioning and reporting of outcomes in this patient cohort is warranted to further evaluate perioperative complications.
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Affiliation(s)
- Aoife Feeley
- Department of Orthopaedics, Midlands Regional Hospital
Tullamore, Tullamore, Ireland,School of Medicine, Royal College of Surgeons
Ireland, Dublin, Ireland,Aoife Feeley, Midland Regional Hospital
Tullamore, Arden Rd, Puttaghan, Tullamore, Co. Offaly R35 NY51, Ireland.
| | - Jake McDonnell
- School of Medicine, Royal College of Surgeons
Ireland, Dublin, Ireland
| | - Iain Feeley
- Department of Orthopaedics, National Orthopaedic Hospital
Cappagh, Dublin, Ireland
| | - Joseph Butler
- Department of Orthopaedics, Mater Misericordiae University
Hospital, Dublin, Ireland
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