Dexmedetomidine could enhance surgical satisfaction in Trans-sphenoidal resection of pituitary adenoma.

BACKGROUND: Excessive bleeding is an unwanted complication of trans-sphenoidal resection of pituitary adenoma due to increases in intracranial pressure (ICP) and hemodynamic instability. Dexmedetomidine (Dex) anα2-agonists is the drug of choice in intensive care units (ICU) and cardiac surgeries to control abrupt changes in hemodynamic. Severe cardiovascular responses occur during trans-sphenoidal resection (TSR) of the pituitary adenoma despite adequate depth of anesthesia. The aim of this paper was to determine the effect of Dexmedetomidine on bleeding as primary outcome, and surgeon's satisfaction and hemodynamic stability as secondary outcomes in patients undergoing trans-sphenoidal resection of pituitary adenoma. METHODS: Total numbers of 60 patients between 18-65 years old and candidate for elective trans-sphenoidal resection of pituitary adenoma were randomLy allocated to two groups; Dexmedetomidine infusion (0.6µg/kg/hour) or normal saline infusion. Mean arterial pressure (MAP), heart rate (HR), dose of hypnotics and narcotics during surgery, bleeding, and surgeon's satisfaction were recorded. RESULTS: Propofol maintenance dose (µg/kg/min) and total Fentanyl use (µg) were significantly lower in Dex group compare to control group (P=0.01 and 0.003, respectively). Total bleeding amount during operation in Dex group was significantly lower than control group (P=0.012). Surgeon's satisfaction was significantly higher in Dex group at the end of surgery. MAP and heart rate throughout surgery were significantly lower in Dex group compare to control group (P=0.001). CONCLUSIONS: Dexmedetomidine infusion (0.6µg/kg/hour) could reduce bleeding and provide surgeon's satisfaction during trans-sphenoidal resection of pituitary adenoma.

Modification of Acute Physiology and Chronic Health Evaluation II score through recalibration of risk prediction model in critical care patients of a respiratory disease referral center.

BACKGROUND: Several models have been developed to measure the severity of illness in intensive care unit (ICU) patients, It is suggested that the models should be customized depending on the characteristics of different population of patients. This study is aimed to assess and modify the performance of Acute Physiology and Chronic Health Evaluation II (APACHE-II) model in a respiratory diseases referral center. MATERIALS AND METHODS: A total of 730 patients, admitted to an intensive care unit during one year, were divided into two sets (71% training and 29% test). Our modified APACHE-II model was developed and calibrated on training set. Then, the integrity of the customized model was checked and compared to the original APACHE-II, on the test set. Logistic regression was used to develop ROC analysis, F-measure and kappa coefficient and were employed to calibrate the model. RESULTS: Both Original and Our modified APACHE-II scores performed acceptable discriminative power (AUC = 0.908: 95%CI 0.861-0.854; and AUC = 0.856: 95%CI 0.789-0.923, respectively); the difference was not significant (P = 0.132). Our modified APACHE-II showed improved accuracy (87.9% vs. 84.1%) and sensitivity (56.4% vs. 16.3%) compared to the original model. F-measure and Kappa also gave the impression of improvement for our modified APACHE-II system. CONCLUSION: The results demonstrated that a modified APACHE-II system in a local ICU of respiratory disease could have similar discrimination and comparable calibration to the original model.