Αρχειοθήκη ιστολογίου

Αλέξανδρος Γ. Σφακιανάκης
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5
Άγιος Νικόλαος Κρήτη 72100
2841026182
6032607174

Σάββατο 24 Νοεμβρίου 2018

Nationwide analysis of unplanned 30‐day readmissions after transsphenoidal pituitary surgery

Background

Transsphenoidal pituitary surgery has evolved into a safe procedure with shorter hospitalizations, yet unplanned readmissions remain a quality measure for which there is a paucity of data. We sought to examine rates, timing, etiologic factors, and costs surrounding readmission after transsphenoidal pituitary surgery.

Methods

The Nationwide Readmissions Database (NRD) was queried for patients who underwent transsphenoidal pituitary between January 2013 and November 2013. Patient, procedure, admission, and hospital‐level characteristics were compared for patients with and without unplanned 30‐day readmission. Multivariate logistic regression was used to identify readmission predictors. A total of 8546 patients were included in this retrospective study.

Results

A total of 8546 patients with a median age of 54 years and female predominance were identified, with 742 patients experiencing at least 1 unplanned readmission within 30 days of index admission. Hypertension, hypothyroidism, diabetes, and obesity were common comorbidities among readmitted patients. Readmission was most frequently because of nervous system complications, followed by neurohypophyseal or electrolyte disorders, cerebrospinal fluid leak, hemorrhage, and meningitis. Median length and cost of stay of index admission was greater in the readmission group (p < 0.001). Fluid and electrolyte disorders as well as neurologic disease (most commonly epilepsy or convulsions) present on initial admission were predictive of length of initial stay and readmission (p < 0.001). Median readmission cost was $7723 and was expected to occur within 7 days.

Conclusion

Approximately 8.7% of patients undergoing transsphenoidal pituitary surgery experience an unplanned readmission within 30 days of discharge. Risk factors identified should be considered to reduce preventable readmissions and identify medically complex patients.



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