Literature DB >> 25046789

Evidence for the use of preoperative risk assessment scores in elective cranial neurosurgery: a systematic review of the literature.

Elina Reponen1, Hanna Tuominen, Miikka Korja.   

Abstract

BACKGROUND: Preoperative risk scores are designed to guide patient management by providing a means of predicting operative outcome. Several risk scores are used in neurosurgery, but studies on their clinical relevance are scarce. Therefore, it is not clear whether these risk scores are beneficial or helpful in predicting outcome after elective cranial neurosurgery. In this review, we summarize the current scientific evidence for using preoperative risk scores in elective cranial neurosurgery.
METHODS: A systematic review of the MEDLINE, Embase, and PubMed databases in November 2013 yielded 25 relevant studies with a minimum of 30 patients per study. The studies evaluated the value of the preoperative ASA physical status classification, the Karnofsky performance score (KPS), the Charlson comorbidity score, the modified Rankin Scale and the sex, KPS, ASA physical status classification, location, and edema (SKALE) score in assessing postoperative outcome in cranial neurosurgery. Surgery-related and nonsurgical complications were assessed separately whenever reported in the original article. For this purpose, the studies were placed into 4 categories based on the reported outcome: surgery-related outcome, nonsurgical outcome, morbidity, and mortality. The Preferred Reporting Items for Systematic reviews and Meta-analyses guidelines for systematic reviews were followed.
RESULTS: KPS has the strongest support in the literature for predicting surgery-related outcomes. There is no strong support in the literature for the use of any preoperative scores in predicting nonsurgical outcomes after elective craniotomies. KPS and ASA physical status classification seem to predict early (≤ 30-day) morbidity of intracranial tumor patients. The Charlson comorbidity score may be applicable in predicting mortality of elective intracranial aneurysm patients. Only 4 studies were prospective in design.
CONCLUSIONS: Large prospective studies are needed to validate the use of the reviewed risk scores in elective cranial neurosurgery. It appears, however, that the patient's preoperative physical and functional status can be used to predict the short- and long-term outcome in elective cranial neurosurgery.

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Mesh:

Year:  2014        PMID: 25046789     DOI: 10.1213/ANE.0000000000000234

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  12 in total

1.  The Utility of Routine Intensive Care Admission for Patients Undergoing Intracranial Neurosurgical Procedures: A Systematic Review.

Authors:  Cesar Cimonari de Almeida; M Dustin Boone; Yosef Laviv; Burkhard S Kasper; Clark C Chen; Ekkehard M Kasper
Journal:  Neurocrit Care       Date:  2018-02       Impact factor: 3.210

2.  The modified frailty index and 30-day adverse events in oncologic neurosurgery.

Authors:  Brett E Youngerman; Alfred I Neugut; Jingyan Yang; Dawn L Hershman; Jason D Wright; Jeffrey N Bruce
Journal:  J Neurooncol       Date:  2017-11-14       Impact factor: 4.130

3.  Hair-sparing technique using absorbable intradermal barbed suture versus traditional closure methods in supratentorial craniotomies for tumor.

Authors:  Evan Luther; Katherine Berry; David McCarthy; Jagteshwar Sandhu; Roxanne Mayrand; Christina Guerrero; Daniel G Eichberg; Simon Buttrick; Ashish Shah; Angela M Richardson; Ricardo Komotar; Michael Ivan
Journal:  Acta Neurochir (Wien)       Date:  2020-01-30       Impact factor: 2.216

4.  Making sense of surgical risk when the data aren't perfect.

Authors:  Meghan B Lane-Fall; Mark D Neuman
Journal:  Anesth Analg       Date:  2014-08       Impact factor: 5.108

5.  The Association Between Common Clinical Characteristics and Postoperative Morbidity and Overall Survival in Patients with Glioblastoma.

Authors:  Wenli Liu; Aiham Qdaisat; Jason Yeung; Gabriel Lopez; Jeffrey Weinberg; Shouhao Zhou; Lorenzo Cohen; Eduardo Bruera; Sai-Ching J Yeung
Journal:  Oncologist       Date:  2018-07-26

6.  Frailty is associated with mortality in brain tumor patients.

Authors:  Patricia Torres-Perez; María Álvarez-Satta; Mariano Arrazola; Larraitz Egaña; Manuel Moreno-Valladares; Jorge Villanua; Irune Ruiz; Nicolas Sampron; Ander Matheu
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

Review 7.  The ASA Physical Status Classification: What Is the Evidence for Recommending Its Use in Veterinary Anesthesia?-A Systematic Review.

Authors:  Karine Portier; Keila Kazue Ida
Journal:  Front Vet Sci       Date:  2018-08-31

Review 8.  Multimorbidity and Critical Care Neurosurgery: Minimizing Major Perioperative Cardiopulmonary Complications.

Authors:  Rami Algahtani; Amedeo Merenda
Journal:  Neurocrit Care       Date:  2020-08-13       Impact factor: 3.210

9.  Development and validation of a predictive model for American Society of Anesthesiologists Physical Status.

Authors:  Seshadri C Mudumbai; Suzann Pershing; Thomas Bowe; Robin N Kamal; Erika D Sears; Andrea K Finlay; Dan Eisenberg; Mary T Hawn; Yingjie Weng; Amber W Trickey; Edward R Mariano; Alex H S Harris
Journal:  BMC Health Serv Res       Date:  2019-11-21       Impact factor: 2.655

10.  Brain Tumor Resection in Elderly Patients: Potential Factors of Postoperative Worsening in a Predictive Outcome Model.

Authors:  Paolo Ferroli; Ignazio Gaspare Vetrano; Silvia Schiavolin; Francesco Acerbi; Costanza Maria Zattra; Marco Schiariti; Matilde Leonardi; Morgan Broggi
Journal:  Cancers (Basel)       Date:  2021-05-12       Impact factor: 6.639

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