Evidence map›Paper›PMID 42519306›Full record

ArticleFrontiers in immunology2026

Perioperative immune trajectories in severe scoliosis surgery: a retrospective study of 2,736 patients undergoing corrective surgery for severe scoliosis.

Tao Chen, Yong Chen, Qiang Li, Wenjing Zhang, Jindong Yang, Chun Pu, Yinxiao Peng, Qin Fei, Qiang Fu

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

9 authors.

Tao ChenDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Yong ChenDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Qiang LiDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Wenjing ZhangHealth Management Center, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Jindong YangDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Chun PuDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Yinxiao PengDepartment of Orthopedics, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Qin FeiDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Qiang FuDepartment of Anesthesiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe scoliosis surgery is accompanied by substantial perioperative immune perturbation, yet the heterogeneity of postoperative immune recovery and its relationship with adverse clinical outcomes remain insufficiently defined. Methods: We performed a single-center retrospective longitudinal cohort study in one of China's largest care centers for severe scoliosis, including 2,736 patients who underwent corrective surgery for severe scoliosis between January 1, 2018, and December2024, 2024 and had serial immune measurements at preoperative baseline, 6 h, postoperative day (POD) 1, POD3, POD5, and discharge. Latent class mixed modeling based on absolute lymphocyte count, neutrophil-to-lymphocyte ratio, IL-6, and monocyte HLA-DR was used to identify perioperative immune trajectory phenotypes. The primary endpoint was major postoperative infection within 30 days. Models were adjusted for demographic, deformity-related, operative, and perioperative-management covariates, including surgical approach, steroid exposure, and opioid requirement. Results: Three distinct immune trajectory phenotypes were identified: adaptive recovery (n = 1,290, 47.1%), intermediate recovery (n = 903, 33.0%), and persistent dysregulated immunity (n = 543, 19.8%). Compared with the other two classes, the persistent dysregulated class was characterized by lower perioperative lymphocyte counts, higher neutrophil-to-lymphocyte ratio and IL-6 levels, more sustained monocyte HLA-DR suppression, higher C-reactive protein levels, lower CD4/CD8 ratio, and delayed albumin recovery. Major postoperative infection occurred in 8.3%, 16.1%, and 24.5% of the three classes, respectively (P <0.001), while prolonged postoperative length of stay occurred in 7.1%, 25.5%, and 66.9%, respectively (P <0.001). After multivariable adjustment, intermediate recovery and persistent dysregulated immunity remained associated with major infection (adjusted odds ratio [aOR] 2.06, 95% CI 1.54-2.76, and 3.31, 95% CI 2.22-4.94, respectively; both P <0.001). Corresponding associations with prolonged length of stay were 3.71 (95% CI 2.80-4.91) and 17.84 (95% CI 12.34-25.79), respectively (both P <0.001). The infection model showed moderate discrimination (area under the receiver operating characteristic curve, 0.668). Conclusion: Severe scoliosis surgery is followed by clinically meaningful perioperative immune recovery phenotypes. These trajectories are associated with infection and prolonged hospitalization but should be interpreted as dynamic markers reflecting both host response and perioperative stress rather than as purely causal immune endotypes.

Indexed as

Postoperative ComplicationsScoliosisAdolescentAdultChildFemaleHumansInterleukin-6Longitudinal StudiesMaleMonocytesNeutrophilsPerioperative PeriodRetrospective StudiesSeverity of Illness IndexInterleukin-6IL-6immune trajectorylatent class mixed modelinglymphopeniamonocyte HLA-DRneutrophil-to-lymphocyte ratioperioperative immunitypostoperative infection

Identifiers

PMID42519306
PMCPMC13381196

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.