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Can I read The 5-Factor Modified Frailty Index Predicts Health Burden Following Surgery for Pituitary Adenomas on EtoBox?
The 5-Factor Modified Frailty Index Predicts Health Burden Following Surgery for Pituitary Adenomas by Adham M. Khalafallah; Pavan P. Shah; Sakibul Huq; Adrian E. Jimenez; Palak P. Patel; Nyall R. London; Amir H. Hamrahian; Roberto Salvatori; Gary L. Gallia; Nicholas R. Rowan; Debraj Mukherjee is a Medicine article available to read on EtoBox.
What is The 5-Factor Modified Frailty Index Predicts Health Burden Following Surgery for Pituitary Adenomas about?
## Purpose: Frailty is known to influence cost-related surgical outcomes in neurosurgery, but quantifying frailty is often challenging. therefore, we investigated the predictive value of the 5-factor modified frailty index (mfi-5) on total hospital charges, los, and 90-day readmission for patients undergoing pituitary surgery. ## Methods: The medical records of all patients undergoing endoscopic endonasal resection of pituitary adenomas at an academic medical center between january 2017 and december 2018 were retrospectively reviewed. bivariate statistical analyses were conducted using fisher's exact test, chi-square test, and independent samples t-test. linear and logistic regression models were used for multivariate analysis. ## Results: Our cohort (n = 234) had a mean age of 53.8 years (standard deviation 14.6 years). sex distributions were equal, and most patients were caucasian (59%). on multivariate linear regression, with each one-point increase in mfi-5, total los increased by 0.64 days in the overall cohort (p < 0.001), 1.08 days in the cushing disease cohort (p = 0.045), and 0.59 days in non-functioning tumors cohort (p = 0.004). total charges increased by $3954 in the wh
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- Author
- Adham M. Khalafallah; Pavan P. Shah; Sakibul Huq; Adrian E. Jimenez; Palak P. Patel; Nyall R. London; Amir H. Hamrahian; Roberto Salvatori; Gary L. Gallia; Nicholas R. Rowan; Debraj Mukherjee
- Publisher
- Springer Science and Business Media LLC
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)