RESUMEN
Background: Surgical manipulation of paraganglioma can induce a massive release of catecholamines leading to hypertensive attack. But it has been not known about risk factors to cause hypertensive attack because paragangliomas of urinary bladder and retroperitoneum are notably rare tumors and have been recorded as case report or series. We investigated the relationship between mass size and hypertensive attack during surgery in patients with paraganglioma. Methods: Our retrospective chart review included 32 patients who had a pathological diagnosis of paraganglioma between March 2006 and May 2021, in single center. We analyzed the risk factors such as age, sex, height, weight, blood pressure before surgery, history of hypertension, pre-operative symptoms, mass location, and mass in 24 patients with retroperitoneal paragangliomas including urinary bladder. Hypertensive attack was defined as systolic blood pressure >180 mmHg during excision of the mass from the electric medical chart. The predictive power was assessed by the area under the curve of the receiver operating characteristic curve. Results: There were 19 retroperitoneal, 5 urinary bladder, 2 middle-ear cavity, 2 mediastinal, 2 neck, 1 spinal cord and 1 duodenal paraganglioma. Seven (29.2%) of the 24 patients had preoperative symptoms such as pain, fluctuation of blood pressure, and palpable mass. Hypertensive attack during surgery occurred in 11 patients (45.8%). There was a significant difference in mass size between groups with (n=11) and without (n=13) fluctuation of blood pressure (P=0.007). The area under curve for predicting surgical complications according to mass size was 0.808 (cutoff size 4.25 cm, sensitivity 72.7%, specificity 76.9%, 95% CI: 0.635-0.981). Conclusions: Mass size impacted occurrence of hypertensive attack during surgery in patients with retroperitoneal paraganglioma. Surgeons have to be watchful regarding of intraoperative hypertension during resection of retroperitoneal masses exceeding 4.25 cm, which are suspected as paraganglioma.
RESUMEN
PURPOSE: Studies on howmetabolic syndrome affects renal stone progression in untreated asymptomatic patients are lacking. Therefore, we investigated the effect of metabolic syndrome on changes in renal stone size. MATERIALS AND METHODS: We retrospectively analyzed 820 patients with renal stones incidentally detected on CT during regular health examinations and who underwent follow-up CT evaluations for > 1 year. The patients were divided into two groups according to the presence of metabolic syndrome. Changes in stone size during the follow-up were assessed, and differences were compared according to various factors. Predictors of stone size change on CT were assessed using linear regression analysis. RESULTS: Overall, 820 asymptomatic patients without a history of stone treatments and with a mean follow-up of 52.4 months were included. Of these, 104 (12.7%) had metabolic syndrome and 335 (40.9%) showed stone size increase during the follow-up. The stone size at diagnosis was not significantly different between patients with and without metabolic syndrome (225.3 ± 332.6 vs. 183.9 ± 310.2 mm3, p = 0.159); however, a significant difference was observed in the change in stone size at follow-up (148.5 ± 352.0 vs. 81.5 ± 222.4 mm3, p = 0.001). Multivariable analysis showed that age (ß = - 0.11; - 5.92 to -0.69; p = 0.013), fasting glucose level ≥ 100 mg/dl (ß = 0.11; 9.78-99.73; p = 0.017), and metabolic syndrome (ß = 0.10; 9.78-99.73; p = 0.017) were factors predictive of stone size changes. CONCLUSION: Metabolic syndrome, fasting glucose level ≥ 100 mg/dl and young age are positively related to renal stone size changes. Therefore, periodic follow-up and metabolic syndrome management are required in asymptomatic patients with renal stones, especially in young age.