A Novel Risk Score to Predict Hungry Bone Syndrome After Parathyroidectomy for Renal Hyperparathyroidism.

OBJECTIVE: Hungry bone syndrome (HBS) is a known complication of parathyroidectomy. Patients with renal hyperparathyroidism are particularly vulnerable to HBS because of their prolonged exposure to electrolyte abnormalities and elevated parathyroid hormone (PTH). However, in-depth characterization of predictive factors for HBS in these patients is lacking. METHODS: A retrospective analysis was performed of patients with renal hyperparathyroidism who underwent parathyroidectomy at a single institution from 2011-2021. Patient demographics, clinical characteristics, and biochemical data were collected and analyzed. Boruta and binary logistic regression analyses were used to develop a scoring system. RESULTS: Thirty-three patients were identified; 16 (48%) developed HBS. Patients with HBS had significantly higher preoperative levels of serum PTH (mean difference [MS] = 2167.2 pg/mL, P <.001), phosphorus (MD = 3.5 mg/dl, P <.001), and alkaline phosphatase (ALP) (MD = 344.2 U/L, P =.002) and significantly lower levels of preoperative serum calcium (MD = -0.96 mg/dL, P =.004). Stepwise regression analysis identified elevated ALP (>150 U/L) and markedly elevated PTH (>1000 pg/mL) as positive predictors of HBS. A two-point scoring system with these 2 variables had overall diagnostic accuracy of 96.8% (sensitivity 100% and specificity 94.1%) with 1 point conferring 93.8% positive predictive value and 2 points conferring 100% positive predictive value. CONCLUSION: Preoperative serum PTH and ALP are significantly associated with HBS in patients with renal hyperparathyroidism undergoing parathyroidectomy for renal hyperparathyroidism. A scoring system with these 2 variables may be of clinical utility in predicting patients at high risk of HBS.

Radiology report language positively influences adrenal incidentaloma guideline adherence.

BACKGROUND: Adrenal incidentalomas are common radiographic findings. Guidelines recommend biochemical and radiographic surveillance of adrenal incidentalomas. We investigated if patients were appropriately referred for outpatient evaluation. METHODS: Retrospective chart review was performed to identify patients with adrenal masses on imaging between November 7, 2016 and November 7, 2017. Demographic information, medical history, and outpatient referral information was collected. RESULTS: 11,723 computed tomography (CT) scans of the chest and/or abdomen/pelvis were performed. 246 patients were noted to have adrenal incidentalomas and met inclusion criteria. The CT report recommended follow-up in 63/246 cases (25.6%). 38/246 (15.4%) patients were referred for evaluation. Age, adrenal nodule size, and type of evaluating provider did not affect referral. A radiology report recommending follow-up was associated with increased referral rate (OR 5.441, 95% CI: 2.491-11.887). CONCLUSION: There was low outpatient referral for adrenal incidentalomas. Language in the radiology report significantly influenced referral rates and may be an important resource for improving guideline adherence.

Growth hormone secreting pituitary carcinomas: Case report and review of literature.

OBJECTIVE: Pituitary carcinoma is a rare tumor, defined as a tumor of adenohypophyseal cells with systemic or craniospinal metastasis. We present a case of a growth hormone (GH)-secreting pituitary carcinoma with a review of literature to better characterize this disease. DESIGN: Case report and literature review of 25 cases of GH-secreting pituitary carcinomas RESULTS: The age of diagnosis of GH-secreting carcinomas ranged 24-69 years old with a mean age of 44.4 with 52% of cases present in females. Mean latency period between diagnosis of acromegaly and transition to pituitary carcinoma was 11.4 years with mean survival being 3.4 years. CONCLUSION: Growth hormone (GH)-secreting pituitary carcinomas are rare and hard to distinguish from aggressive pituitary adenomas. From review of literature, treatment options include debulking surgery, radiotherapy, or chemotherapy with dismal outcomes. There are no diagnostic markers or features which can predict metastatic progression of these tumors. Future studies with genomic landscapes and relevant tumor markers are needed to identify pituitary tumors most likely to metastasize.