ArticlePituitary2025
Correlates of prolonged length of stay after endoscopic transsphenoidal surgery for pituitary adenomas: varying definitions and non-clinical factors.
Article in Pituitary, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Article
- Predictors of prolonged length of stay in patients undergoing laser interstitial thermal therapy for intracranial tumors.Journal of neuro-oncology · 2025Article
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11 authors.
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Abstract
purposeProlonged length of stay (PLOS) can lead to resource misallocation and higher complication risks. However, there is no consensus on defining PLOS for endoscopic transsphenoidal pituitary surgery (ETPS). Therefore, we investigated the impact of varying PLOS definitions on factors associated with PLOS in patients undergoing ETPS.
methodsWe conducted a retrospective review of patients with pituitary adenomas who underwent ETPS at our institution from 2012 to 2023. Patients were divided into non-PLOS and PLOS groups based on varying definitions of PLOS: > median, > 4 days, > 75th percentile, and > 90th percentile. Bivariate statistical analyses were conducted using Fisher's exact test, chi-square test, and t-tests. Univariate and multivariate logistic regression identified significant predictors for each PLOS definition.
resultsOur cohort (n = 808) had a mean age of 54.37 ± 16.06 years, 50.43% male, and a median LOS of 3 days. The 75th and 90th percentiles of LOS were 4 and 6 days, respectively. The way PLOS was defined influenced associated factors identified. Preoperative KPS score, non-private insurance, and non-home discharge disposition were associated with PLOS across all definitions used (p < 0.05). Increased preoperative tumor volumes and postoperative hyponatremia were associated with PLOS only when defined by the 75th and 90th percentiles (p < 0.05). Non-White race and low income were significantly associated with PLOS > median while intraoperative CSF leak was a significant predictor for PLOS > 90th percentile (p < 0.05).
conclusionOur study highlights the variability in predictors of PLOS based on its definition and emphasizes the role of non-clinical factors on LOS.
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