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Introduction: We aimed to investigate the effects of cerium oxide, applied before the sevoflurane anesthesia, on lung tissue in rats with lower extremity ischemia-reperfusion (IR). Materials and Methods: A total of 30 rats were randomly divided into five groups as; control (C), IR, cerium oxide-IR (CO-IR), IR-sevoflurane (IRS), and cerium oxide-IRsevoflurane (CO-IRS). In the CO-IR group, 30 minutes after the injection of cerium oxide (0.5 mg/kg, intraperitoneal (i.p)), an atraumatic microvascular clamp was placed on the infrarenal abdominal aorta for 120 minutes. Then, the clamp was removed and reperfused for 120 minutes. Sevoflurane was applied in 100% oxygen at a rate of 2.3% at 4 L/min during IR. The blood samples were taken for biochemical analysis and the lung tissue samples were taken for histological analysis. Results: Neutrophil infiltration/aggregation was significantly higher in the IR group than in the C and CO-IRS groups. The alveolar wall thickness and total lung injury scores were significantly higher in the IR group than in the C, IRS, CO-IR and CO-IRS groups. Discussion: We determined that the administration of 0.5 mg/kg dose of cerium oxide with sevoflurane reduces the oxidative stress and corrects IR-related damage in lung tissue. Our results show that the administration of cerium oxide before IR and the administration of sevoflurane during IR have a protective effect in rats.

Objectives: To examine the effects of desflurane and cerium oxide (CO) on lung tissue following ischemia-reperfusion injury (IRI). Methods: Experiments were conducted in Gazi University Animal Laboratory, Ankara, Turkey. Thirty rats were divided into 5 groups: control (C), IRI, IRI-CO, IRI-desflurane (IRID), IRI-CO-desflurane (IRICOD). Cerium oxide was given intraperitoneally. Lower extremity IRI was induced. Desflurane was applied during IRI. Lung histopathological examinations and serum biochemical analyses were performed. Results: Serum nitric oxide (NO) and malondialdehyde (MDA) levels were higher in group IRI ( p =0.006) than in group C ( p =0.001). Serum MDA and NO levels were significantly lower in groups IRICO and IRICOD than in group IRI. Significantly greater alveolar wall thickening and neutrophil infiltration were recorded in group IRI than in group C. Co-administration of desflurane and CO significantly decreased alveolar wall thickening and neutrophil infiltration compared to group IRI. Total lung injury scores were significantly lower in groups IRID, IRICO, and IRICOD than in group IRI. Conclusion: Intraperitoneal CO with desflurane, reduced oxidative stress and corrected the damage in lung. Cerium oxide given before and desflurane given during IRI have been shown to have protective effects on lung damage in rats.

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Objectives: To analyze how graft-weight-to-bodyweight ratio in pediatric liver transplant affects intraoperative and early postoperative hemodynamic and metabolic parameters. Materials and Methods: We reviewed data from 130 children who underwent liver transplant between 2005 and 2015. Recipients were divided into 2 groups: those with a graft weight to body weight ratio > 4% (large for size) and those with a ratio ≤ 4% (normal for size). Data included demographics, preoperative laboratory findings, intraoperative metabolic and hemodynamic parameters, and intensive care followup parameters. Results: Patients in the large-graft-for-size group (> 4%) received more colloid solution (57.7 ± 20.1 mL/kg vs 45.1 ± 21.9 mL/kg; P = .08) and higher doses of furosemide (0.7 ± 0.6 mg/kg vs 0.4 ± 0.7 mg/kg; P = .018). They had lower mean pH (7.1 ± 0.1 vs 7.2 ± 0.1; P = .004) and PO2 (115.4 ± 44.6 mm Hg vs 147.6 ± 49.3 mm Hg; P = .004) values, higher blood glucose values (352.8 ± 96.9 mg/dL vs 262.8 ± 88.2 mg/dL; P < .001), and lower mean body temperature (34.8 ± 0.7°C vs 35.2 ± 0.6°C; P = .016) during the neohepatic phase. They received more blood transfusions during both the anhepatic (30.3 ± 24.3 mL/kg vs 18.8 ± 21.8 mL/kg; P = .013) and neohepatic (17.7 ± 20.4 mL/kg vs 10.3 ± 15.5 mL/kg; P = .031) phases and more fresh frozen plasma (13.6 ± 17.6 mL/kg vs 6.2 ± 10.2 mL/kg; P = .012) during the neohepatic phase. They also were more likely to be hypotensive (P < .05) and to receive norepinephrine infusion more often (44% vs 22%; P < .05) intraoperatively. More patients in this group were mechanically ventilated in the intensive care unit (56% vs 31%; P = .035). There were no significant differences between the groups in postoperative acute renal dysfunction, graft rejection or loss, infections, length of intensive care stay, and mortality (P > .05). Conclusions: High graft weight-to-body-weight ratio is associated with adverse metabolic and hemodynamic changes during the intraoperative and early postoperative periods. These results emphasize the importance of using an appropriately sized graft in liver transplant.

BACKGROUND Beat-to-beat stroke volume (SV) results from the interplay between left ventricular function and arterial load. Fluid challenge induces time-dependent responses in cardiac performance and peripheral vascular and capillary characteristics. OBJECTIVE To assess whether analysis of the determinants of the haemodynamic response during fluid challenge can predict the final response at 10 and 30 min. DESIGN Observational multicentric cohort study. SETTING Three university ICUs. PATIENTS 85 ICU patients with acute circulatory failure diagnosed within the first 48 h of admission. INTERVENTION(S) The fluid challenge consisted of 500 ml of Ringer's solution infused over 10 min. A SV index increase at least 10% indicated fluid responsiveness. MAIN OUTCOME MEASURES The SV, pulse pressure variation (PPV), arterial elastance, the systolic–dicrotic pressure difference (SAP-Pdic) and cardiac cycle efficiency (CCE) were measured at baseline, 1, 2, 3, 4, 5, 10, 15 and 30 min after the start of the fluid challenge. All haemodynamic data were submitted to a univariable logistic regression model and a multivariable analysis was then performed using the significant variables given by univariable analysis. RESULTS The multivariable model including baseline PPV, and the changes of arterial elastance at 1 min and of the CCE and SAP-Pdic at 5 min when compared with their baseline values, correctly classified 80.5% of responders and 90.7% of nonresponders at 10 min. For the response 30 min after starting the fluid challenge, the model, including the changes of PPV, CCE, SAP-Pdic at 5 min and of arterial elastance at 10 min compared with their baseline values, correctly identified 93.3% of responders and 91.4% of nonresponders. CONCLUSION In a selection of mixed ICU patients, a statistical model based on a multivariable analysis of the changes of PPV, CCE, arterial elastance and SAP-Pdic, with respect to baseline values, reliably predicts both the early and the late response to a standardised fluid challenge. TRIAL REGISTRATION ACTRN12617000076370.

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