Abstract
Purpose
To develop a simplified, modified frailty index for adult spinal deformity (ASD) patients dependent on objective clinical factors.
Methods
ASD patients with baseline (BL) and 2-year (2Y) follow-up were included. Factors with the largest R2 value derived from multivariate forward stepwise regression were including in the modified ASD-FI (clin-ASD-FI). Factors included in the clin-ASD-FI were regressed against mortality, extended length of hospital stay (LOS, > 8 days), revisions, major complications and weights for the clin-ASD-FI were calculated via Beta/Sullivan. Total clin-ASD-FI score was created with a score from 0 to 1. Linear regression correlated clin-ASD-FI with ASD-FI scores and published cutoffs for the ASD-FI were used to create the new frailty cutoffs: not frail (NF: < 0.11), frail (F: 0.11–0.21) and severely frail (SF: > 0.21). Binary logistic regression assessed odds of complication or reop for frail patients.
Results
Five hundred thirty-one ASD patients (59.5 yrs, 79.5% F) were included. The final model had a R2 of 0.681, and significant factors were: < 18.5 or > 30 BMI (weight: 0.0625 out of 1), cardiac disease (0.125), disability employment status (0.3125), diabetes mellitus (0.0625), hypertension (0.0625), osteoporosis (0.125), blood clot (0.1875), and bowel incontinence (0.0625). These factors calculated the score from 0 to 1, with a mean cohort score of 0.13 ± 0.14. Breakdown by clin-ASD-FI score: 51.8% NF, 28.1% F, 20.2% SF. Increasing frailty severity was associated with longer LOS (NF: 7.0, F: 8.3, SF: 9.2 days; P < 0.001). Frailty independently predicted occurrence of any complication (OR: 9.357 [2.20–39.76], P = 0.002) and reop (OR: 2.79 [0.662–11.72], P = 0.162).
Conclusions
Utilizing an existing ASD frailty index, we proposed a modified version eliminating the patient-reported components. This index is a true assessment of physiologic status, and represents a superior risk factor assessment compared to other tools for both primary and revision spinal deformity surgery as a result of its immutability with surgery, lack of subjectivity, and ease of use.
Similar content being viewed by others
Data availability
Data available upon reasonable request.
References
Simcox T, Antoku D, Jain N et al (2019) Frailty syndrome and the use of frailty indices as a preoperative risk stratification tool in spine surgery: a review. Asian Spine J 13(5):861–873. https://doi.org/10.31616/asj.2018.0239
Miller EK, Vila-Casademunt A, Neuman BJ et al (2018) External validation of the adult spinal deformity (ASD) frailty index (ASD-FI). Eur Spine J 27(9):2331–2338. https://doi.org/10.1007/s00586-018-5575-3
Miller EK, Neuman BJ, Jain A et al (2017) An assessment of frailty as a tool for risk stratification in adult spinal deformity surgery. Neurosurg Focus 43(6):E3. https://doi.org/10.3171/2017.10.FOCUS17472
Miller EK, Lenke LG, Neuman BJ et al (2018) External validation of the adult spinal deformity (ASD) frailty index (ASD-FI) in the scoli-RISK-1 patient database. Spine (Phila Pa 1976) 43(20):1426–1431. https://doi.org/10.1097/BRS.0000000000002717
Champain S, Benchikh K, Nogier A et al (2006) Validation of new clinical quantitative analysis software applicable in spine orthopaedic studies. Eur Spine J 15(6):982–991. https://doi.org/10.1007/s00586-005-0927-1
Rillardon L, Levassor N, Guigui P et al (2003) Validation of a tool to measure pelvic and spinal parameters of sagittal balance. Rev Chir Orthop Reparatrice Appar Mot 89(3):218–227
O’Brien MF, Kuklo TRTR, Blanke KM et al (2005) Spinal deformity study group radiographic measurement Manual. Memphis, TN, TN: Medtronic Sofamor Danek
Terran J, Schwab FJ, Shaffrey CI et al (2013) The SRS-Schwab adult spinal deformity classification: assessment and clinical correlations based on a prospective operative and nonoperative cohort. Neurosurgery 73(4):559–568. https://doi.org/10.1227/NEU.0000000000000012
Miller EK, Neuman BJ, Jain A et al (2017) An assessment of frailty as a tool for risk stratification in adult spinal deformity surgery. Neurosurg Focus 43(6):1–7. https://doi.org/10.1097/BRS.0b013e31814cf24a
McNeish DM (2015) Using lasso for predictor selection and to assuage overfitting: a method long overlooked in behavioral sciences. Multivariate Behav Res 50(5):471–484. https://doi.org/10.1080/00273171.2015.1036965
Mehta HB, Mehta V, Girman CJ et al (2016) Regression coefficient-based scoring system should be used to assign weights to the risk index. J Clin Epidemiol 79:22–28
Sullivan LM, Massaro JM, D’Agostino RB Sr (2004) Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat Med 23(10):1631–1660
Bhagat S, Vozar V, Lutchman L et al (2013) Morbidity and mortality in adult spinal deformity surgery: Norwich Spinal Unit experience. Eur Spine J 22(Suppl 1):S42–S46. https://doi.org/10.1007/s00586-012-2627-y
Smith JS, Klineberg E, Lafage V et al (2016) Prospective multicenter assessment of perioperative and minimum 2-year postoperative complication rates associated with adult spinal deformity surgery. J Neurosurg Spine 25(1):1–14. https://doi.org/10.3171/2015.11.SPINE151036
Schuurmans H, Steverink N, Lindenberg S et al (2004) Old or frail: what tells us more? J Gerontol A Biol Sci Med Sci 59(9):M962–M965. https://doi.org/10.1093/gerona/59.9.m962
Farhat JS, Velanovich V, Falvo AJ et al (2012) Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly. J Trauma Acute Care Surg 72(6):1526–1530. https://doi.org/10.1097/TA.0b013e3182542fab. (Discussion 1530–1)
Yagi M, Hosogane N, Fujita N et al (2019) Surgical risk stratification based on preoperative risk factors in adult spinal deformity. Spine J 19(5):816–826. https://doi.org/10.1016/j.spinee.2018.12.007
Ali R, Schwalb JM, Nerenz DR et al (2016) Use of the modified frailty index to predict 30-day morbidity and mortality from spine surgery. J Neurosurg Spine 25(4):537–541. https://doi.org/10.3171/2015.10.SPINE14582
Somani S, Capua JD, Kim JS et al (2017) ASA classification as a risk stratification tool in adult spinal deformity surgery: a study of 5805 patients. Glob Spine J 7(8):719–726. https://doi.org/10.1177/2192568217700106
Charlson M, Szatrowski TP, Peterson J et al (1994) Validation of a combined comorbidity index. J Clin Epidemiol 47(11):1245–1251. https://doi.org/10.1016/0895-4356(94)90129-5
Funding
The International Spine Study Group (ISSG) is funded through research grants from DePuy Synthes and individual donations.
Author information
Authors and Affiliations
Consortia
Contributions
PGP, KEP, JMM, OK, RL, VL, BL, JSU, RH, AD, RH, DB, CS, FS, BGD, CPA, JSS, AJS, SB, EOK: Active involvement in drafting and critical revision of manuscript. PGP, KEP, JMM, OK, RL, VL, BL, JSU, RH, AD, RH, DB, CS, FS, BGD, CPA, JSS, AJS, SB, EOK: Provided final approval of version to be published. PGP, KEP, JMM, OK, RL, VL, BL, JSU, RH, AD, RH, DB, CS, FS, BGD, CPA, JSS, AJS, SB, EOK: Study Design. PGP, KEP, JMM, OK, RL, VL, BL, JSU, RH, AD, RH, DB, CS, FS, BGD, CPA, JSS, AJS, SB, EOK: Data Acquisition. PGP, KEP, JMM, OK, RL, VL, BL, JSU, RH, AD, RH, DB, CS, FS, BGD, CPA, JSS, AJS, SB, EOK; Analysis and interpretation of data.
Corresponding author
Ethics declarations
Conflict of interest
Peter G. Passias: Cerapedics: Other financial or material support. Cervical Scoliosis Research Society: Research support. Globus Medical: Paid presenter or speaker. Medtronic: Paid consultant. Royal Biologics: Paid consultant. Spine: Editorial or governing board. Spinevision: Other financial or material support. SpineWave: Paid consultant. Terumo: Paid consultant.
Ethical approval
Institutional Review Board was waived, as this study uses a de-identified nationwide database.
Informed consent
Informed consent was obtained prior to patient enrollment in database.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Passias, P.G., Pierce, K.E., Mir, J.M. et al. Development of a modified frailty index for adult spinal deformities independent of functional changes following surgical correction: a true baseline risk assessment tool. Spine Deform 12, 811–817 (2024). https://doi.org/10.1007/s43390-023-00808-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s43390-023-00808-5