Assessing a revised-risk analysis index for morbidity and mortality after spine surgery for metastatic spinal tumors

被引:0
作者
Elsamadicy, Aladine A. [1 ]
Serrato, Paul [1 ]
Sadeghzadeh, Sina [2 ]
Sayeed, Sumaiya [1 ]
Hengartner, Astrid C. [1 ]
Khalid, Syed I. [3 ]
Lo, Sheng-fu Larry [4 ,5 ]
Shin, John H. [6 ]
Mendel, Ehud [1 ]
Sciubba, Daniel M. [4 ,5 ]
机构
[1] Yale Univ, Sch Med, Dept Neurosurg, 333 Cedar St, New Haven, CT 06510 USA
[2] Stanford Univ, Sch Med, Dept Neurosurg, Stanford, CA USA
[3] Univ Illinois, Dept Neurosurg, Chicago, IL USA
[4] Northwell Hlth, Long Isl Jewish Med Ctr, Zucker Sch Med Hofstra, Dept Neurosurg, Manhasset, NY USA
[5] Northwell Hlth, North Shore Univ Hosp, Manhasset, NY USA
[6] Harvard Med Sch, Massachusetts Gen Hosp, Dept Neurosurg, Boston, MA USA
关键词
RAI; Frailty; Spine metastases; Spine surgery; Morbidity; Mortality; MODIFIED FRAILTY INDEX; COMPLICATIONS; ASSOCIATION;
D O I
10.1007/s11060-024-04830-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundRisk Analysis Index (RAI) has been increasingly used to assess surgical frailty in various procedures, but its effectiveness in predicting mortality or in-patient hospital outcomes for spine surgery in metastatic disease remains unclear. The aim of this study was to compare the predictive values of the revised RAI (RAI-rev), the modified frailty index-5 (mFI-5), and advanced age for extended length of stay, 30-day readmission, complications, and mortality among patients undergoing spine surgery for metastatic spinal tumors. MethodsA retrospective cohort study was performed using the 2012-2022 ACS NSQIP database to identify adult patients who underwent spinal surgery for metastatic spinal pathologies. Using receiver operating characteristic (ROC) and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI-rev, mFI-5, and greater patient age with extended length of stay (LOS), 30-day complications, hospital readmission, and mortality. ResultsA total of 1,796 patients were identified, of which 1,116 (62.1%) were male and 1,008 (70.7%) were non-Hispanic White. RAI-rev identified 1,291 (71.9%) frail and 208 (11.6%) very frail patients, while mFI-5 identified 272 (15.1%) frail and 49 (2.7%) very frail patients. In the ROC analysis for extended LOS, both RAI-rev and mFI-5 showed modest predictive capabilities with area under the curve (AUC) values of 0.5477 and 0.5329, respectively, and no significant difference in their predictive abilities (p = 0.446). When compared to age, RAI-rev demonstrated superior prediction (p = 0.015). With respect to predicting 30-day readmission, no significant difference was observed between RAI-rev and mFI-5 (AUC 0.5394 l respectively, p = 0.354). However, RAI-rev outperformed age (p = 0.001). When assessing the risk of 30-day complications, RAI-rev significantly outperformed mFI-5 (AUC: 0.6016 and 0.5542 respectively, p = 0.022) but not age. Notably, RAI-rev demonstrated superior ability for predicting 30-day mortality compared to mFI-5 and age (AUC: 0.6541, 0.5652, and 0.5515 respectively, p < 0.001). Multivariate analysis revealed RAI-rev as a significant predictor of extended LOS [aOR: 1.96, 95% CI: 1.13-3.38, p = 0.016] and 30-day mortality [aOR: 5.27, 95% CI: 1.73-16.06, p = 0.003] for very frail patients. Similarly, the RAI-rev significantly predicted 30-day complications for frail [aOR: 2.63, 95% CI: 1.21-5.72, p = 0.015] and very frail [aOR: 3.69, 95% CI: 1.60-8.51, p = 0.002] patients. However, the RAI did not significantly predict 30-day readmission [Very Frail aOR: 1.52, 95% CI: 0.75-3.07, p = 0.245; Frail aOR: 1.46, 95% CI: 0.79-2.68, p = 0.225]. ConclusionOur study demonstrates the utility of RAI-rev in predicting morbidity and mortality in patients undergoing spine surgery for metastatic spinal pathologies. Particularly, the superiority that RAI-rev has in predicting 30-day mortality may have significant implications in multidisciplinary decision making.
引用
收藏
页码:213 / 228
页数:16
相关论文
共 37 条
  • [1] Recalibration and External Validation of the Risk Analysis Index A Surgical Frailty Assessment Tool
    Arya, Shipra
    Varley, Patrick
    Youk, Ada
    Borrebach, Jeffrey D.
    Perez, Sebastian
    Massarweh, Nader N.
    Johanning, Jason M.
    Hall, Daniel E.
    [J]. ANNALS OF SURGERY, 2020, 272 (06) : 996 - 1005
  • [2] The performance of frailty in predictive modeling of short-term outcomes in the surgical management of metastatic tumors to the spine
    Bakhsheshian, Joshua
    Shahrestani, Shane
    Buser, Zorica
    Hah, Raymond
    Hsieh, Patrick C.
    Liu, John C.
    Wang, Jeffrey C.
    [J]. SPINE JOURNAL, 2022, 22 (04) : 605 - 615
  • [3] A National Surgical Quality Improvement Program Analysis of Postoperative Major and Minor Complications in Patients with Spinal Metastatic Disease
    Boaro, Alessandro
    Wells, Michael
    Chi, John
    Lu, Yi
    Smith, Timothy R.
    Groff, Michael W.
    Zaidi, Hasan
    [J]. WORLD NEUROSURGERY, 2020, 140 : E203 - E211
  • [4] Sarcopenia, but not frailty, predicts early mortality and adverse events after emergent surgery for metastatic disease of the spine
    Bourassa-Moreau, Etienne
    Versteeg, Anne
    Moskven, Eryck
    Charest-Morin, Raphaele
    Flexman, Alana
    Ailon, Tamir
    Dalkilic, Turker
    Fisher, Charles
    Dea, Nicolas
    Boyd, Michael
    Paquette, Scott
    Kwon, Brian
    Dvorak, Marcel
    Street, John
    [J]. SPINE JOURNAL, 2020, 20 (01) : 22 - 31
  • [5] Risk Analysis Index and Its Recalibrated Version Predict Postoperative Outcomes Better Than 5-Factor Modified Frailty Index in Traumatic Spinal Injury
    Conlon, Matthew
    Thommen, Rachel
    Kazim, Syed Faraz
    Dicpinigaitis, Alis J.
    Schmidt, Meic H.
    McKee, Rohini G.
    Bowers, Christian A.
    [J]. NEUROSPINE, 2022, 19 (04) : 1039 - +
  • [6] Assessment of Frailty Indices and Charlson Comorbidity Index for Predicting Adverse Outcomes in Patients Undergoing Surgery for Spine Metastases: A National Database Analysis
    Elsamadicy, Aladine A.
    Havlik, John L.
    Reeves, Benjamin
    Sherman, Josiah
    Koo, Andrew B.
    Pennington, Zach
    Hersh, Andrew M.
    Sandhu, Mani Ratnesh S.
    Kolb, Luis
    Lo, Sheng-Fu Larry
    Shin, John H.
    Mendel, Ehud
    Sciubba, Daniel M.
    [J]. WORLD NEUROSURGERY, 2022, 164 : E1058 - E1070
  • [7] Hospital Frailty Risk Score and healthcare resource utilization after surgery for metastatic spinal column tumors
    Elsamadicy, Aladine A.
    Koo, Andrew B.
    Reeves, Benjamin C.
    Pennington, Zach
    Yu, James
    Goodwin, C. Rory
    Kolb, Luis
    Laurans, Maxwell
    Lo, Sheng-Fu Larry
    Shin, John H.
    Sciubba, Daniel M.
    [J]. JOURNAL OF NEUROSURGERY-SPINE, 2022, 37 (02) : 241 - 251
  • [8] Development and Initial Validation of the Risk Analysis Index for Measuring Frailty in Surgical Populations
    Hall, Daniel E.
    Arya, Shipra
    Schmid, Kendra K.
    Blaser, Casey
    Carlson, Mark A.
    Bailey, Travis L.
    Purviance, Georgia
    Bockman, Tammy
    Lynch, Thomas G.
    Johanning, Jason
    [J]. JAMA SURGERY, 2017, 152 (02) : 175 - 182
  • [9] Spine metastases: Current treatments and future directions
    Harel, Ran
    Angelov, Lilyana
    [J]. EUROPEAN JOURNAL OF CANCER, 2010, 46 (15) : 2696 - 2707
  • [10] Comparison of frailty metrics and the Charlson Comorbidity Index for predicting adverse outcomes in patients undergoing surgery for spine metastases
    Hersh, Andrew M.
    Pennington, Zach
    Hung, Bethany
    Patel, Jaimin
    Goldsborough, Earl
    Schilling, Andrew
    Feghali, James
    Antar, Albert
    Srivastava, Siddhartha
    Botros, David
    Elsamadicy, Aladine A.
    Lo, Sheng-Fu Larry
    Sciubba, Daniel M.
    [J]. JOURNAL OF NEUROSURGERY-SPINE, 2022, 36 (05) : 849 - 857