Using the Postoperative Morbidity Survey to Measure Morbidity After Cranial Neurosurgery
- PMID: 35255015
- DOI: 10.1097/ANA.0000000000000756
Using the Postoperative Morbidity Survey to Measure Morbidity After Cranial Neurosurgery
Abstract
Background: The incidence of morbidity after cranial neurosurgery is significant, reported in up to a quarter of patients depending on methodology used. The Postoperative Morbidity Survey (POMS) is a reliable method for identifying clinically relevant postsurgical morbidity using 9 organ system domains. The primary aim of this study was to quantify early morbidity after cranial neurosurgery using POMS. The secondary aims were to identify non-POMS-defined morbidity and association of POMS with postoperative hospital length of stay (LOS).
Materials and methods: A retrospective electronic health care record review was conducted for all patients who underwent elective or expedited major cranial surgery over a 3-month period. Postsurgical morbidity was quantified on postoperative days (D) 1, 3, 5, 8, and 15 using POMS. A Poisson regression model was used to test the correlation between LOS and total POMS scores on D1, 3 and 5. A further regression model was used to test the association of LOS with specific POMS domains.
Results: A total of 246 patients were included. POMS-defined morbidity was 40%, 30%, and 33% on D1, D3, and D8, respectively. The presence of POMS morbidity on these days was associated with longer median (range) LOS: D1 6 (1 to 49) versus 4 (2 to 45) days; D3 8 (4 to 89) versus 6 (4 to 35) days; D5 14 (5 to 49) versus 8.5 (6 to 32) days; D8 18 (9 to 49) versus 12.5 (9 to 32) days (P<0.05). Total POMS score correlated with overall LOS on D1 (P<0.001), D3 (P<0.001), and D5 (P<0.001). A positive response to the "infectious" (D1, 3), "pulmonary" (D1), and "renal" POMS items (D1) were associated with longer LOS.
Conclusion: Although our data suggests that POMS is a useful tool for measuring morbidity after cranial neurosurgery, some important morbidity items that impact on LOS are missed. A neurosurgery specific tool would be of value.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
Conflict of interest statement
L.D. is supported by an NIHR Academic Clinical Fellowship and was the recipient of a research fellowship sponsored by B. Braun. A.K.T. research time was supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre. M.S. is Editor-in-Chief of the Journal of Neurosurgical Anesthesiology: this manuscript was handled by Dr. Alana Flexman, Associate Editor. The remaining authors have no conflicts of interest to disclose
References
-
- Gozal YM, Akture E, Ravindra VM, et al. Defining a new neurosurgical complication classification: lessons learned from a monthly Morbidity and Mortality Conference. J Neurosurg. 2020;132:272–276 10.3171/2018.9.JNS181004 - DOI
-
- Schiavolin S, Broggi M, Acerbi F, et al. The impact of neurosurgical complications on patients’ health status: a comparison between different grades of complications. World Neurosurg. 2015;84:36–40 10.1016/j.wneu.2015.02.008 - DOI
-
- Rolston JD, Han SJ, Lau CY, et al. Frequency and predictors of complications in neurological surgery: national trends from 2006 to 2011. J Neurosurg. 2014;120:736–745 10.3171/2013.10.JNS122419 - DOI
-
- Rock AK, Opalak CF, Workman KG, et al. Safety outcomes following spine and cranial neurosurgery: evidence from the national surgical quality improvement program. J Neurosurgl Anesthesiol. 2018;30:328–336 10.1097/ANA.0000000000000474 - DOI
-
- Alexandre V, Guyonaud C, Frasca D, et al. Major complications after scheduled craniotomy: a justification for systematic postoperative intensive care admission? Eur J Anaesthesiol. 2020;37:147–149 10.1097/EJA.0000000000001045 - DOI
MeSH terms
LinkOut - more resources
Full Text Sources
