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Sarcopenic obesity and cachexia as nutritional risk phenotypes and histology-specific outcomes after intracranial tumor resection: a histology-stratified NSQIP analysis of 27,057 cases.

Overview

Authors: Caleigh S. Roach1, Belen Wertheimer2, Khushi H. Shah1, Victor M. Lu1, Ashish H. Shah1, Ricardo J. Komotar1
ORCID iDs: Caleigh S. Roach
  1. Department of Neurological Surgery, University of Miami Miller School of Medicine,1295 NW 14th Street, Suite 1700, Miami, FL 33125 USA
  2. Department of Orthopaedic Surgery, University of Miami Miller School of Medicine,Miami, FL USA
Institutions: University of Miami (United States)
Journal: Neurosurgical review, volume 49, issue 1, article 525
Dates: received 12 May 2026; accepted 13 August 2026; published online 18 August 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1007/s10143-026-04450-3 · PMID 42611367 · PMCID PMC13486080 · OpenAlex W7203712287
Open access: hybrid, a free copy (OpenAlex)
Status: code on request
Categories: histology / microscopy (modality), human (organism), other condition (population), clinical / translational (subfield)
Methods: Statistics, Machine learning
Keywords: Cranial tumor surgery, Nutritional phenotype, Sarcopenic obesity, Cachexia, Failure to rescue, Inverse probability of treatment weighting
MeSH: Brain Neoplasms*, Cachexia*, Obesity*, Sarcopenia*, Adult, Aged, Body Mass Index, Craniotomy, Female, Humans, Male, Middle Aged, Phenotype, Postoperative Complications, Retrospective Studies, Risk Factors, Treatment Outcome (* major topic)
Topic: Nutrition and Health in Aging (Physiology, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 46 references in the paper

Abstract

Preoperative risk stratification in neurosurgery typically uses body mass index (BMI), albumin, or frailty as single-marker predictors. We assessed whether a composite phenotype predicts outcomes after cranial neuro-oncologic surgery and whether effects differ by tumor histology. A retrospective analysis of 27,057 patients undergoing craniotomy for meningioma, malignant glioma, or brain metastasis was performed using the American College of Surgeons National Surgical Quality Improvement Program database (2016–2023). The composite phenotype incorporated BMI and serum albumin: adequately nourished, obese-replete, sarcopenic-obese, and cachectic-malnourished. Outcomes included major 30-day morbidity, 30-day mortality, failure to rescue (FTR), and non-home discharge. Associations were estimated using inverse probability of treatment weighting (IPTW), histology-stratified analyses, and interaction testing. Compared with adequately nourished patients, sarcopenic-obese and cachectic-malnourished phenotypes conferred elevated odds of major 30-day morbidity (IPTW odds ratio [OR] 1.47 and 1.60, respectively) and 30-day mortality (OR 2.28 and 1.96). Obese-replete showed no mortality increase (OR 1.06) and reduced FTR (OR 0.76), most pronounced in the metastasis cohort (OR 0.58). Phenotype effects differed by histology for mortality (interaction p = 0.044) and non-home discharge (p = 0.009), with sarcopenic obesity conferring a 3.61-fold mortality increase among meningioma patients. The composite phenotype achieved discrimination comparable to but not exceeding serum albumin alone (area under the curve [AUC] 0.75 vs. 0.76 for mortality). A biomarker-defined nutritional phenotype separated distinct high-risk subgroups but did not improve discrimination beyond serum albumin alone, with histology-specific effects. These findings support histology-aware nutritional phenotyping for preoperative risk communication and hypothesis generation rather than superior prediction.

Supplementary information: The online version contains supplementary material available at 10.1007/s10143-026-04450-3.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data availability

The data that support the findings of this study were obtained from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) Participant Use Data File. Restrictions apply to the availability of these data, which were used under a Participant Use File Data Use Agreement and are therefore not publicly available. Qualified researchers may obtain access through application to the American College of Surgeons. Analytic code is available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Publisher: n/a → Springer Science+Business Media

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 6 keywords, 17 MeSH terms, 44 references.

Cite

This paper

Roach, C. S., Wertheimer, B., Shah, K. H., Lu, V. M., Shah, A. H., & Komotar, R. J. (2026). Sarcopenic obesity and cachexia as nutritional risk phenotypes and histology-specific outcomes after intracranial tumor resection: a histology-stratified NSQIP analysis of 27,057 cases. Neurosurgical review, 49(1), 525. https://doi.org/10.1007/s10143-026-04450-3

BibTeX

@article{roach2026sarcopenic,
author = {Roach, Caleigh S. and Wertheimer, Belen and Shah, Khushi H. and Lu, Victor M. and Shah, Ashish H. and Komotar, Ricardo J.},
title = {{Sarcopenic obesity and cachexia as nutritional risk phenotypes and histology-specific outcomes after intracranial tumor resection: a histology-stratified NSQIP analysis of 27,057 cases}},
journal = {Neurosurgical review},
year = {2026},
month = aug,
volume = {49},
number = {1},
pages = {525},
publisher = {Springer Science+Business Media},
issn = {0344-5607},
doi = {10.1007/s10143-026-04450-3},
url = {https://doi.org/10.1007/s10143-026-04450-3},
pmid = {42611367},
pmcid = {PMC13486080}
}

RIS

TY - JOUR
AU - Roach, Caleigh S.
AU - Wertheimer, Belen
AU - Shah, Khushi H.
AU - Lu, Victor M.
AU - Shah, Ashish H.
AU - Komotar, Ricardo J.
TI - Sarcopenic obesity and cachexia as nutritional risk phenotypes and histology-specific outcomes after intracranial tumor resection: a histology-stratified NSQIP analysis of 27,057 cases
T2 - Neurosurgical review
J2 - Neurosurg Rev
PY - 2026
DA - 2026/08/18
VL - 49
IS - 1
SP - 525
SN - 0344-5607
PB - Springer Science+Business Media
DO - 10.1007/s10143-026-04450-3
UR - https://doi.org/10.1007/s10143-026-04450-3
LA - en
ER -

CSL-JSON

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"container-title": "Neurosurgical review",
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