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1.
Clin Transplant Res ; 38(2): 106-115, 2024 Jun 30.
Artigo em Inglês | MEDLINE | ID: mdl-38940687

RESUMO

Background: Patients with chronic kidney disease (CKD) who undergo hemodialysis are predisposed to interstitial cerebral edema. Robotic-assisted laparoscopic surgery can increase optic nerve sheath diameter (ONSD) and intracranial pressure. The impact of robotic-assisted kidney transplant (RAKT) on ONSD is complicated by the presence of CKD, the administration of furosemide and mannitol, and the manipulation of hemodynamics. We examined ONSD variations in patients undergoing RAKT over a 1-year period at our institution. Furthermore, we attempted to identify any perioperative hemodynamic factors influencing these changes. Methods: This prospective study included 20 patients undergoing RAKT. ONSD, heart rate, central venous pressure, systolic blood pressure, diastolic blood pressure (DBP), and mean arterial pressure (MAP) were measured following intubation (T1), after assuming the steep Trendelenburg position (T2), 1 hour after docking (T3), upon reperfusion (T4), after transition to the supine position (T5), and 3 hours postextubation (T6). Repeated measures analysis of variance with post hoc Bonferroni correction was employed to compare variables at each time point. Pearson correlation analysis was utilized to assess relationships between variables. P-values ≤0.05 were considered to indicate statistical significance. Results: ONSD (in mm) increased from T1 (3.60±0.44) to T3 (4.06±0.45, P=0.002) and T4 (3.99±0.62, P=0.046), before falling to its lowest value at T6 (3.42±0.64, P=0.002). Pearson correlation analysis revealed significant correlations (P<0.05) between changes in ONSD at T3 and both DBP (r=0.637) and MAP (r=0.522). Conclusions: During RAKT with open ureteric anastomosis, ONSD initially increased, then decreased following reperfusion. DBP and MAP displayed positive correlations with ONSD changes at T3.

2.
Cureus ; 14(9): e28957, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-36237794

RESUMO

Background and objective The advent of robot-assisted kidney transplant (RAKT) has ushered in a new set of challenges. In this single-center retrospective observational study, we aimed to highlight the anesthetic challenges and analyze perioperative parameters to identify the risk factors for delayed graft function (DGF) in RAKT. Methods A descriptive analysis of perioperative factors of the first 100 cases of RAKT at our center was performed. Data were retrieved from the hospital's electronic medical records (EMR) of donors and adult patients who underwent RAKT between July 2015 and December 2020. The data analyzed included demographics, preoperative optimization, intraoperative and postoperative management, and complications. DGF was defined as a requirement of dialysis within one week of transplant. The Fisher's exact test, independent sample t-test, and the Mann-Whitney test were used to analyze data. Results Among a total of 193 renal transplants performed during the study period, 100 patients underwent RAKT, which included 27 females and 73 males. Of these, 91 were live while the remaining involved deceased-donor transplants. Pneumoperitoneum and steep Trendelenburg position required various "anesthetic maneuvers" to maintain hemodynamics and respiratory parameters. Optimal fluid management, with frusemide and mannitol, ensured good urine output (UOP) (93%). Post-reperfusion, the release of pneumoperitoneum, maintenance of adequate perfusion pressures, immunosuppression, and regional hypothermia helped in ensuring adequate graft function (93%). The incidence of DGF in our series was 7% and the mortality rate was 3%. Recipient age (p=0.045), dyslipidemia (p=0.021), and diabetes mellitus (p=0.023) were identified as significant risk factors for DGF. Conclusion Advanced recipient age, diabetes, and dyslipidemia were factors significantly associated with DGF in RAKT in our series of 100 cases. However, the duration of the steep Trendelenburg position, docking of robot/pneumoperitoneum (console time), fluid management, warm and cold ischemia times, rewarming time, and type of graft did not influence DGF. Awareness of the systemic involvement in RAKT, proper preoperative optimization, and knowledge of potential problems are essential for the efficient anesthetic management of RAKT.

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