Evidence map›Paper›PMID 42283818›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Longitudinal comparison of existing frailty indices to predict complications following adult spinal deformity surgery.

Aydin Sinan Apaydin, Tyler Williamson, Peter Tretiakov, Kyriakos Chatzis, Francesca Totis, Oscar Krol, Bailey Imbo, Rachel Joujon-Roche, Shaleen N Vira, Bassel G Diebo and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Aydin Sinan ApaydinKarabük University, Karabük, Turkey. dr.sinanapaydin@yahoo.com.
Tyler WilliamsonDuke University, Durham, United States.
Peter TretiakovDuke University, Durham, United States.
Kyriakos ChatzisDuke University, Durham, United States.
Francesca TotisDuke University, Durham, United States.
Oscar KrolDuke University, Durham, United States.
Bailey ImboDuke University, Durham, United States.
Rachel Joujon-RocheDuke University, Durham, United States.
Shaleen N ViraDuke University, Durham, United States.
Bassel G DieboDuke University, Durham, United States.
Stephane Owusu-SarpongDuke University, Durham, United States.
Ekamjeet S DhillonDuke University, Durham, United States.
Jordan LebovicDuke University, Durham, United States.
Andrew J SchoenfeldDuke University, Durham, United States.
Virginie LafageDuke University, Durham, United States.
Khoi Duc ThanDuke University, Durham, United States.
Peter G PassiasDuke University, Durham, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate and compare the predictive ability of four distinct frailty indices for perioperative and postoperative outcomes in patients undergoing adult spinal deformity (ASD) surgery.

methodsA total of 917 ASD patients with baseline frailty classification and follow-up data available in the analytic registry extract were analyzed. The frailty instruments included the ASD-FI, the mASD-FI, the 5-item modified frailty index (mFI-5), and the FRAIL Scale. Patients were categorized according to the published strata for each instrument. Outcomes included operative burden, in-hospital resource utilization, perioperative complications, long-term complications, reoperation, clinical recovery, and exploratory cost-utility measures. Logistic regression was used for binary outcomes and linear regression-based association analyses for continuous outcomes, with models adjusted for age, BMI, CCI, and surgical invasiveness or complexity. Sensitivity analyses examined collinearity, models with and without CCI, distribution-aware analyses for LOS and SICU duration, and model performance metrics for key binary outcomes. The Benjamini-Hochberg false discovery rate correction was applied to primary outcomes.

resultsSeverely frail patients had worse baseline disability and radiographic deformity across all instruments. All four indices were associated with operative complexity, LOS, and SICU duration. The FRAIL Scale was the only index significantly associated with SICU admission (OR = 1.3, p = .011) and hospital-acquired conditions (OR = 1.6, p = .005), and it also showed one of the strongest associations with major perioperative complications. At 2 years, mASD-FI showed the strongest associations with mechanical complications (OR = 1.58, p < .001) and reoperation (OR = 1.55, p < .001), whereas ASD-FI showed the strongest association with broader long-term complication burden and LOS. Sensitivity analyses showed low multicollinearity, but discrimination for key binary outcomes was modest. Cost-utility findings were exploratory.

conclusionFrailty was associated with worse outcomes across the ASD surgical course, but the indices were not interchangeable. In this cohort, the FRAIL Scale performed well for index-admission and HAC-related outcomes, whereas mASD-FI showed the strongest signal for long-term mechanical complications and reoperation. Frailty assessment may be useful in ASD surgery, with instrument selection tailored to the outcome of interest.

Indexed as

Adult spinal deformityCost-utility analysisFrailty indicesRisk stratificationSurgical complications

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.