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Dataset Information

Prediction of Discharge Status and Readmissions after Resection of Intradural Spinal Tumors.


ABSTRACT:

Objective

Intradural spinal tumors are uncommon and while associations between clinical characteristics and surgical outcomes have been explored, there remains a paucity of literature unifying diverse predictors into an integrated risk model. To predict postresection outcomes for patients with spinal tumors.

Methods

IBM MarketScan Claims Database was queried for adult patients receiving surgery for intradural tumors between 2007 and 2016. Primary outcomes-of-interest were nonhome discharge and 90-day postdischarge readmissions. Secondary outcomes included hospitalization duration and postoperative complications. Risk modeling was developed using a regularized logistic regression framework (LASSO, least absolute shrinkage and selection operator) and validated in a withheld su

SUBMITTER: Jin MC 

PROVIDER: S-EPMC8987552 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature