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Prevedello, Daniel M.

Mayo Clinic

The Ohio State University

Citations 4

Comparison of clinical outcomes in adamantinomatous and papillary craniopharyngioma: a baseline analysis before the targeted therapy era
Juncker, Ryan B. , Kim, Albert H., Evans, James J., Barkhoudarian, Garni, Fernandez-Miranda, Juan C., Pacione, Donato , Kim, Won, Zada, Gabriel, Kshettry, Varun R., BENJAMIN, CAROLINA, Gompel, Jamie J. Van, Catalino, Michael, Mamelak, Adam, Zwagerman, Nathan, Little, Andrew S., Gardner, Paul, Karsy, Michael, Couldwell, William T., Rennert, Robert C., Palmer, Joshua D., Prevedello, Daniel M., Wu, Kyle C., Karsy, Michael , Barkhoudarian, Garni , Van Gompel, Jamie, Karsy, Michael , Damante, Mark A. , Kim, Albert H , Evans, James J., Fernandez‐Miranda, Juan C. , Chicoine, Michael , Zada, Gabriel , Kshettry, Varun R. , Gompel, Jamie J. Van , Catalino, Michael P. , Mamelak, Adam N. , Zwagerman, Nathan T. , Little, Andrew S. , Pacult, Mark A. , Couldwell, William T. , Rennert, Robert C , Palmer, Joshua D. , Prevedello, Daniel M.

Neurosurgical Focus | May 27, 2026 | Volume: 60 | Issue: 6 | Pages: E11

10.3171/2026.2.focus251172 Get It

OBJECTIVE Historically, craniopharyngioma (CP) was divided into adamantinomatous CP (ACP) and papillary CP (PCP) subtypes based on histopathological features. However, each harbors a unique genetic profile and progressively differing treatment paradigms, leading to their reclassification by the WHO in 2016 as two distinct entities. Descriptive in nature, this large multi-institutional study aimed to establish current differences between the presentation, treatment patterns, and clinical course of these pathologies to serve as a baseline for future studies as new treatment paradigms emerge. METHODS The authors queried the Registry for Adenomas of the Pituitary and Related Disorders (RAPID) database, which encompassed patients from 14 participating institutions across the United States between 2000 and 2024. The database was screened for adult patients who underwent initial CP treatment with a confirmed histopathological diagnosis of ACP or PCP. Patient demographic characteristics, clinical course, tumor treatment, and outcomes data were collected and compared by CP type. RESULTS The final analysis included 273 ACP and 99 PCP adult patients who underwent initial surgical treatment. ACP patients presented younger on average (mean 48.3 vs 52.8 years, p = 0.034). PCP patients were more likely to present with hypothyroidism (33.3% vs 20.5%, p = 0.010), hyperlipidemia (25.3% vs 15.8%, p = 0.036), fatigue (28.3% vs 17.6%, p = 0.024), temperature intolerance (9.1% vs 1.5%, p < 0.001), and cardiac arrhythmia (6.1% vs 1.1%, p = 0.006). The groups demonstrated similar postsurgical and neuroendocrinological outcomes. Postoperative median (IQR) progression-free survival did not significantly differ between groups (19.0 [7.0–37.0] for ACP vs 5.0 [3.5–7.5] months for PCP, p = 0.972). ACP patients were more likely to receive radiation after surgery (27.8% vs 15.2%, p = 0.012). CONCLUSIONS This large multicenter descriptive study aimed to characterize similarities and differences between the clinical courses of molecularly distinct ACP and PCP, which has not previously been described. The findings should serve as a baseline to inform future studies, particularly with the recent introduction of targeted therapy for PCP.
Frailty and postoperative outcomes following craniopharyngioma resection: a multicenter Registry for Adenomas of the Pituitary and Related Disorders analysis
Chen, Anthony Yulin, Feng, Rui, Collopy, Calen, Rennert, Robert C., Couldwell, William T., Kshettry, Varun R., Gardner, Paul, Silverstein, Julie M., Kim, Albert H., Barkhoudarian, Garni, Kelly, Daniel, Pacione, Donato , Suryadevara, Carter M. , Kim, Won, Bergsneider, Marvin, Zada, Gabriel, Wu, Kyle C., Prevedello, Daniel M., BENJAMIN, CAROLINA, Catalino, Michael P., Mamelak, Adam, Cheok, Stephanie K., Zwagerman, Nathan T., Gompel, Jamie J. Van, Fernandez-Miranda, Juan C., Yuen, Kevin C. J., Little, Andrew S., Karsy, Michael, Evans, James J., Karsy, Michael , Barkhoudarian, Garni , Palit, Sandhya R. , Karsy, Michael , Kelleher, Sean T., Rennert, Robert C , Couldwell, William T. , Kshettry, Varun R. , Silverstein, Julie , Kim, Albert H , Kelly, Daniel, Bergsneider, Marvin , Chicoine, Michael , Zada, Gabriel , Prevedello, Daniel M. , Catalino, Michael Paul, Mamelak, Adam N. , Cheok, Stephanie , Zwagerman, Nathan T. , Gompel, Jamie J. Van , Fernandez‐Miranda, Juan C. , Yuen, Kevin C.J. , Little, Andrew S. , Evans, James J.

Neurosurgical Focus | May 27, 2026 | Volume: 60 | Issue: 6 | Pages: E7

10.3171/2026.2.focus251160 Get It

OBJECTIVE Frailty is a known predictor of adverse outcomes in pituitary surgery, yet its impact regarding craniopharyngioma remains unclear. The authors assessed preoperative frailty, measured by the 11-factor modified frailty index (mFI-11), and its association with perioperative morbidity among adult patients undergoing craniopharyngioma surgery. METHODS Using the Registry for Adenomas of the Pituitary and Related Disorders (RAPID) database, the authors performed a retrospective cohort study of the records of patients ≥ 18 years of age who underwent craniopharyngioma surgery between June 2007 and November 2024. Patients were stratified into the following categories according to their numeric mFI-11 score: fit (scores 0 and 1), managing well (scores 2 and 3), and mildly frail (scores 4–6). Primary outcomes included hospital length of stay (LOS) and discharge disposition. Secondary outcomes included 90-day readmission, surgical outcomes, and complications. Multivariable analyses were performed to identify independent predictors of hospital LOS and non-home discharge, adjusting for age, surgeon experience, American Society of Anesthesiologists class, complications, and surgical approach. RESULTS Among 278 patients (221 fit, 43 managing well, 14 mildly frail), higher-frailty patients were older (mean age 47.8 ± 16.1 years in fit vs 60.1 ± 12.5 years in managing well vs 67.6 ± 8 years in mildly frail, p < 0.001) and more likely to present urgently (24.2% vs 36.4% vs 78.6%, p = 0.001). Gross-total resection was achieved less frequently in frail patients (44.8% vs 24.3% vs 23.1%, p = 0.030). Overall complication rates were similar; however, increasing frailty was associated with higher rates of postoperative mortality (0% vs 2.8% [1/36] vs 7.7% [1/13], p = 0.018), pneumonia (0.5% [1/195] vs 2.8% [1/36] vs 15.4% [2/13], p = 0.006), and reintubation (2.6% [5/195] vs 2.8% [1/36] vs 30.8% [4/13], p = 0.002). Higher frailty was associated with a stepwise rise in median [IQR] LOS (5 [3–8] days vs 7 [4–12] days vs 13 [6.5–21.8] days, p < 0.001) and remained an independent predictor of extended LOS on multivariable analysis (β = 1.729 per point, p = 0.006). Rates of non-home discharge showed a similar pattern (9.2% vs 30.0% vs 64.3%, p < 0.001), with frailty independently predicting non-home discharge (OR 2.352, 95% CI 1.527–3.822). Unplanned 90-day readmission rates were significantly higher in the mildly frail cohorts (22.5% vs 45.7% vs 53.8%, p = 0.002). CONCLUSIONS The mFI-11 scores independently predicted perioperative morbidity following craniopharyngioma resection. Incorporating frailty screening into preoperative screening may improve risk stratification, family and patient counseling, and discharge planning.