Arash Nayeri
Vanderbilt University Medical Center
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Publication
Featured researches published by Arash Nayeri.
Journal of Neurology and Neurophysiology | 2016
Arash Nayeri; Silky Chotai; Diana G. Douleh; Philip R. Brinson; Marc A. Prablek; Kyle D. Weaver; Reid C. Thompson; Lola B. Chambless
Objectives: Increased risk of perioperative complications in patients with type 2 diabetes mellitus (DM) has previously been noted with regard to a number of different operations. We sought to study the relative rates of postoperative complications after the surgical resection of an intracranial meningioma based on a pre-existing diagnosis of diabetes. Methods: We conducted a retrospective cohort study on 259 patients who underwent a primary meningioma resection at our institution between 2001-2013. The medical record was reviewed to identify a pre-existing diagnosis of type 2 DM and any postoperative complications prior to discharge. The duration of postoperative hospital stay, intensive care unit (ICU) stay, perioperative changes in Karnofsky Performance Status (KPS) scores, and any postoperative emergency department (ED) presentation within 90 days of the operation were also recorded for each patient. Multivariable logistic regression models were built to determine the impact of a history of diabetes on postoperative complications and post-discharge presentation to the ED. Multivariable linear regression models were designed to assess the predictors of lengthier hospitalization and ICU stays in addition to differential postoperative changes in KPS scores. Results: Forty-one (16%) patients had diagnoses of type 2 DM prior to clinical presentation. In multivariate analyses, patients with a pre-existing history of diabetes had a higher risk of postoperative complications, postoperative ED presentation, and deterioration in functional status in addition to lengthier durations of hospitalization and ICU stay (p<0.001, p=0.008, p<0.001, p=0.007, p<0.001). Conclusions: Patients with pre-existing diagnoses of type 2 DM have a significantly increased risk of immediate postoperative complications following the resection of an intracranial meningioma. Type 2 DM also predicts increased lengths of postoperative hospital stay, decreased postoperative performance status, and increased risk of postoperative ED presentation.
Clinical Neurology and Neurosurgery | 2016
Arash Nayeri; Silky Chotai; Marc A. Prablek; Philip R. Brinson; Diana G. Douleh; Kyle D. Weaver; Reid C. Thompson; Lola B. Chambless
OBJECTIVES In recent years, there has been increased recognition of the relationship between type 2 diabetes mellitus (DM) and poor outcomes following a variety of surgical procedures. We sought to study the role of type 2 DM as a prognostic factor affecting the long-term survival of patients undergoing surgical resection of a WHO Grade I meningioma. METHODS We conducted a retrospective cohort study on 196 patients who had a WHO Grade I meningioma resected at our institution between 2001 and 2013. The medical record was reviewed to identify a pre-existing diagnosis of type 2 DM. Patient mortality was reviewed by medical record and Social Security Death Index (SSDI). Variables associated with survival in a univariate analysis were included in the multivariate Cox model if P<0.10. Variables with probability values >0.05 were then removed from the multivariate model in a step-wise fashion. RESULTS 33 (17%) patients had pre-existing diagnoses of type 2 DM prior to clinical presentation. Mean survival time in diabetic patients was 52.1 months compared to 160.9 months in non-diabetics. The decreased survival rate and time in patients with type 2 DM were found to be statistically significant (p=0.008 and p<0.0001, respectively). In a multivariate Cox analysis, a pre-existing history of type 2 DM was independently associated with decreased survival following the resection of a WHO Grade I meningioma (HR=2.6, p=0.045). CONCLUSIONS A pre-existing diagnosis of type 2 DM is an independent negative prognostic indicator following the resection of a WHO Grade I meningioma.
Skull Base Surgery | 2015
Arash Nayeri; Philip R. Brinson; Kyle D. Weaver; Reid C. Thompson; Lola B. Chambless
Objectives To quantify the rates of loss of follow-up after meningioma resection and to identify any key demographical associations. Design Retrospective cohort. Setting Vanderbilt University Medical Center, 2001-2013. Participants A total of 281 patients surgically treated for an intracranial meningioma at a single institution between 2001 and 2013. Main Outcome Measures Patient clinical follow-up within the first postoperative year. Results A history of tobacco use (p < 0.0001), ongoing alcohol abuse at time of presentation (p = 0.0014), Medicaid coverage (p < 0.0001), and lack of a college degree (p < 0.0001) were all found to be predictors of loss of follow-up at a statistically significant level. Conclusions Several factors associated with low socioeconomic status are predictors of poor clinical follow-up after meningioma resection. The health risk of poor follow-up in this patient population is significant, and increased measures are needed to ensure regular appointment attendance.
Journal of Neurosurgery | 2016
Heather M. Kistka; Arash Nayeri; Li Wang; Jamie Dow; Rameela Chandrasekhar; Lola B. Chambless
Journal of the American College of Cardiology | 2017
Nirmanmoh Bhatia; Sahil Agrawal; Arash Nayeri; Divyanshu Mohananey; Pedro Villablanca; Manyoo Agarwal; Lohit Garg; Elias V. Haddad
Skull Base Surgery | 2016
Arash Nayeri; Silky Chotai; Philip R. Brinson; Marc A. Prablek; Lola B. Chambless
Skull Base Surgery | 2016
Justiss A. Kallos; Arash Nayeri; Philip R. Brinson; Lola B. Chambless
Skull Base Surgery | 2016
Justiss A. Kallos; Arash Nayeri; Philip R. Brinson; Lola B. Chambless
Journal of Cardiac Failure | 2016
Arash Nayeri; Nirmanmoh Bhatia; Eric Rafla-Yuan; Eric Farber-Eger; Marcia Blair; Quinn S. Wells
Journal of Cardiac Failure | 2016
Arash Nayeri; Nirmanmoh Bhatia; Meng Xu; Eric Farber-Eger; Marcia Blair; Quinn S. Wells