Characteristics of Patients Selected for Surgical Treatment of Spinal Meningioma.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
09 2022
Historique:
received: 19 04 2022
revised: 23 06 2022
accepted: 23 06 2022
pubmed: 3 7 2022
medline: 23 9 2022
entrez: 2 7 2022
Statut: ppublish

Résumé

Spinal meningiomas are benign extra-axial tumors that can present with neurological deficits. Treatment partly depends on the degree of disability as there is no agreed-upon patient selection algorithm at present. We aimed to elucidate general patient selection patterns in patients undergoing surgery for spinal meningioma. Data for patients with spinal tumors admitted between 2016 and 2019 were extracted from the U.S. Nationwide Inpatient Sample. We identified patients with a primary diagnosis of spinal meningioma (using International Classification of Disease, 10 Of 6395 patients with spinal meningioma, 5845 (91.4%) underwent surgery. Advanced age, nonwhite race, obesity, diabetes mellitus, chronic renal failure, and anticoagulant/antiplatelet use were less prevalent in the surgical group (all P < 0.001). The only positive predictor of surgical treatment was elective admission status (odds ratio, 3.166; P < 0.001); negative predictors were low income, Medicaid insurance, anxiety, obesity, and plegia. Patients with bowel-bladder dysfunction, plegia, or radiculopathy were less likely to undergo surgical treatment. The surgery group was less likely to experience certain complications (deep vein thrombosis, P < 0.001; pulmonary embolism, P = 0.002). Increased total hospital charges were associated with nonwhite race, diabetes, depression, obesity, myelopathy, plegia, and surgery. Patients treated surgically had a decreased incidence of complications, comorbidities, and Medicaid payer status. A pattern of increased utilization of health care resources and spending was also observed in the surgery group. The results indicate a potentially underserved population of patients with spinal meningioma.

Sections du résumé

BACKGROUND
Spinal meningiomas are benign extra-axial tumors that can present with neurological deficits. Treatment partly depends on the degree of disability as there is no agreed-upon patient selection algorithm at present. We aimed to elucidate general patient selection patterns in patients undergoing surgery for spinal meningioma.
METHODS
Data for patients with spinal tumors admitted between 2016 and 2019 were extracted from the U.S. Nationwide Inpatient Sample. We identified patients with a primary diagnosis of spinal meningioma (using International Classification of Disease, 10
RESULTS
Of 6395 patients with spinal meningioma, 5845 (91.4%) underwent surgery. Advanced age, nonwhite race, obesity, diabetes mellitus, chronic renal failure, and anticoagulant/antiplatelet use were less prevalent in the surgical group (all P < 0.001). The only positive predictor of surgical treatment was elective admission status (odds ratio, 3.166; P < 0.001); negative predictors were low income, Medicaid insurance, anxiety, obesity, and plegia. Patients with bowel-bladder dysfunction, plegia, or radiculopathy were less likely to undergo surgical treatment. The surgery group was less likely to experience certain complications (deep vein thrombosis, P < 0.001; pulmonary embolism, P = 0.002). Increased total hospital charges were associated with nonwhite race, diabetes, depression, obesity, myelopathy, plegia, and surgery.
CONCLUSIONS
Patients treated surgically had a decreased incidence of complications, comorbidities, and Medicaid payer status. A pattern of increased utilization of health care resources and spending was also observed in the surgery group. The results indicate a potentially underserved population of patients with spinal meningioma.

Identifiants

pubmed: 35779754
pii: S1878-8750(22)00906-8
doi: 10.1016/j.wneu.2022.06.121
pii:
doi:

Substances chimiques

Anticoagulants 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e680-e688

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Eris Spirollari (E)

New York Medical College, Valhalla, New York, USA.

Sima Vazquez (S)

New York Medical College, Valhalla, New York, USA.

Ankita Das (A)

New York Medical College, Valhalla, New York, USA.

Richard Wang (R)

New York Medical College, Valhalla, New York, USA.

Leonel Ampie (L)

Department of Neurosurgery, University of Virginia, Charlottesville, Virginia, USA.

Austin B Carpenter (AB)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA.

Sabrina Zeller (S)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA.

Alexandria F Naftchi (AF)

New York Medical College, Valhalla, New York, USA.

Cameron Beaudreault (C)

New York Medical College, Valhalla, New York, USA.

Tiffany Ming (T)

New York Medical College, Valhalla, New York, USA.

Akash Thaker (A)

New York Medical College, Valhalla, New York, USA.

Grigori Vaserman (G)

New York Medical College, Valhalla, New York, USA.

Eric Feldstein (E)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA.

Jose F Dominguez (JF)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA. Electronic address: Jose.Dominguez@wmchealth.org.

Syed Faraz Kazim (SF)

Department of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, USA.

Fawaz Al-Mufti (F)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA.

John K Houten (JK)

Department of Neurosurgery, Maimonides Medical Center, Northwell School of Medicine, Brooklyn, New York, USA.

Merritt D Kinon (MD)

Department of Neurosurgery, Westchester Medical Center, New York Medical College, Valhalla, New York, USA.

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Classifications MeSH