Preoperative Risk Stratification in Spine Tumor Surgery A Comparison of the Modified Charlson Index, Frailty Index, and ASA Score

被引:94
作者
Lakomkin, Nikita [1 ]
Zuckerman, Scott L. [2 ]
Stannard, Blaine [7 ]
Montejo, Julio [3 ]
Sussman, Eric S. [4 ]
Virojanapa, Justin [3 ]
Kuzmik, Gregory [3 ]
Goz, Vadim [5 ]
Hadjipanayis, Constantinos G. [1 ]
Cheng, Joseph S. [6 ]
机构
[1] Icahn Sch Med Mt Sinai, Dept Neurosurg, New York, NY 10029 USA
[2] Vanderbilt Univ, Med Ctr, Dept Neurol Surg, Nashville, TN USA
[3] Yale Sch Med, Dept Neurosurg, Yale, CT USA
[4] Stanford Univ, Dept Neurosurg, Stanford, CA 94305 USA
[5] Univ Utah, Dept Orthopaed Surg, Salt Lake City, UT USA
[6] Univ Cincinnati, Dept Neurosurg, Cincinnati, OH USA
[7] Donald & Barbara Zucker Sch Med Hofstra Northwell, Hempstead, NY USA
关键词
adverse events; ASA; CCI; length of stay; NSQIP; spine tumor; SURGICAL-MANAGEMENT; 30-DAY MORBIDITY; COMPLICATIONS; PREDICTORS; COST; MORTALITY; QUALITY; STAY; CORD;
D O I
10.1097/BRS.0000000000002970
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Design. A retrospective review of prospectively collected data. Objective. The purpose of this study is to compare and validate several preoperative scores for predicting outcomes following spine tumor resection. Summary of Background Data. Preoperative risk assessment for patients undergoing spinal tumor resection remains challenging. At present, few risk assessment tools have been validated in this high-risk population. Methods. The 2008 to 2014 National Surgical Quality Improvement database was used to identify all patients undergoing surgical resection of spinal tumors, stratified as extradural, intradural extramedullary, and intramedullary based on CPT codes. American Society of Anesthesiologists (ASA) score, modified Charlson Comorbidity Index (CCI), and modified Frailty Index (mFI) were computed. A binary logistic regression model was used to explore the relationship between these variables and postoperative outcomes, including mortality, major and minor adverse events, and hospital length of stay (LOS). Other significant variables such as demographics, operative time, and tumor location were controlled for in each model. Results. Two thousand one hundred seventy patients met the inclusion criteria. Higher CCI scores were independent predictors of mortality (OR = 1.24, 95% CI: 1.14-1.36, P < 0.001), major adverse events (OR = 1.07, 95% CI: 1.01-1.31, P = 0.018), minor adverse events (OR = 1.15, 95% CI: 1.10-1.20, P < 0.001), and prolonged LOS (OR = 1.14, 95% CI: 1.09-1.19, P < 0.001). Patients' mFI scores were significantly associated with mortality and LOS, but not major or minor adverse events. ASA scores were not associated with any outcome metric when controlling for other variables. Conclusion. The CCI demonstrated superior predictive capacity compared with mFI and ASA scores and may be valuable as a preoperative risk assessment tool for patients undergoing surgical resection of spinal tumors. The validation of assessment scores is important for preoperative risk stratification and improving outcomes in this high-risk group.
引用
收藏
页码:E782 / E787
页数:6
相关论文
共 50 条
  • [11] Comparison of the Charlson Comorbidity Index with the ASA score for predicting 12-month mortality in acute hip fracture
    Quach, Lucian H.
    Jayamaha, Sophie
    Whitehouse, Sarah L.
    Crawford, Ross
    Pulle, Chrys R.
    Bell, Jack J.
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2020, 51 (04): : 1004 - 1010
  • [12] The 5-Item Modified Frailty Index for Risk Stratification of Patients Undergoing Total Elbow Arthroplasty
    Gordon, Adam M.
    Conway, Charles A.
    Sheth, Bhavya K.
    Magruder, Matthew L.
    Choueka, Jack
    HAND-AMERICAN ASSOCIATION FOR HAND SURGERY, 2023, 18 (08): : 1307 - 1313
  • [13] Predicting Adverse Outcomes After Total Hip Arthroplasty: A Comparison of Demographics, the American Society of Anesthesiologists class, the Modified Charlson Comorbidity Index, and the Modified Frailty Index
    Ondeck, Nathaniel T.
    Bohl, Daniel D.
    Bovonratwet, Patawut
    Anandasivam, Nidharshan S.
    Cui, Jonathan J.
    McLynn, Ryan P.
    Grauer, Jonathan N.
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2018, 26 (20) : 735 - 743
  • [14] Prospective application of the risk analysis index to measure preoperative frailty in spinal tumor surgery: A single center outcomes analysis
    Link, Remy L.
    Rumalla, Kavelin
    Courville, Evan N.
    Roy, Joanna M.
    Kazim, Syed Faraz
    Bowers, Christian A.
    Schmidt, Meic H.
    WORLD NEUROSURGERY-X, 2023, 19
  • [15] Assessment of a Novel Adult Cervical Deformity Frailty Index as a Component of Preoperative Risk Stratification
    Miller, Emily K.
    Ailon, Tamir
    Neuman, Brian J.
    Klineberg, Eric O.
    Mundis, Gregory M., Jr.
    Sciubba, Daniel M.
    Kebaish, Khaled M.
    Lafage, Virginie
    Scheer, Justin K.
    Smith, Justin S.
    Hamilton, D. Kojo
    Bess, Shay
    Shaffrey, Christopher I.
    Ames, Christopher P.
    WORLD NEUROSURGERY, 2018, 109 : E800 - E806
  • [16] 30-day mortality in patients after hip fracture surgery: A comparison of the Charlson Comorbidity Index score and ASA score used in two prediction models
    Haugan, Kristin
    Klaksvik, Jomar
    Foss, Olav A.
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2021, 52 (08): : 2379 - 2383
  • [17] Comparison of Charlson Comorbidity Index and Modified 5-Factor Frailty Index as Clinical Risk Stratification Tools in Predicting Adverse Outcomes in Patients Undergoing Lower Extremity Free-Flap Reconstruction
    Huffman, Samuel S.
    Bovill, John D.
    Deldar, Romina
    Gupta, Nisha
    Truong, Brian N.
    Haffner, Zoe K.
    Sayyed, Adaah A.
    Fan, Kenneth L.
    Evans, Karen K.
    JOURNAL OF RECONSTRUCTIVE MICROSURGERY, 2023, 39 (06) : 419 - 426
  • [18] Modified frailty index is an effective risk-stratification tool for patients undergoing total shoulder arthroplasty
    Holzgrefe, Russell E.
    Wilson, Jacob M.
    Staley, Christopher A.
    Anderson, Travis L.
    Wagner, Eric R.
    Gottschalk, Michael B.
    JOURNAL OF SHOULDER AND ELBOW SURGERY, 2019, 28 (07) : 1232 - 1240
  • [19] Hospital frailty risk score predicts adverse events in spine surgery
    Pulido, Loreto C.
    Meyer, Matthias
    Reinhard, Jan
    Kappenschneider, Tobias
    Grifka, Joachim
    Weber, Markus
    EUROPEAN SPINE JOURNAL, 2022, 31 (07) : 1621 - 1629
  • [20] Impact of Modified Frailty Index on Readmissions Following Surgery for NSCLC
    Tamburini, Nicola
    Dolcetti, Francesco
    Fabbri, Nicolo
    Azzolina, Danila
    Greco, Salvatore
    Maniscalco, Pio
    Dolci, Giampiero
    THORACIC AND CARDIOVASCULAR SURGEON, 2025, 73 (01) : 71 - 77