Background: Inflammation is involved in the pathophysiology of postoperative acute kidney injury (AKI). We investigated whether preoperative platelet-to-white blood cell ratio (PWR), a novel serum biomarker of systemic inflammation, was associated with postoperative AKI following cerebral aneurysm treatment. We also compared the discrimination power of preoperative PWR with those of other preoperative systemic inflammatory indices in predicting postoperative AKI. Methods: Perioperative data including preoperative systemic inflammatory indices and cerebral aneurysm-related variables were retrospectively analyzed in 4,429 cerebral aneurysm patients undergoing surgical clipping or endovascular coiling. Based on the cutoff value of preoperative PWR, patients were divided into the high PWR (≥39.04, n=1,924) and low PWR (<39.04, n=2,505) groups. After propensity score matching (PSM), 1,168 patients in each group were included in the data analysis. AKI was defined according to the Kidney Disease Improving Global Outcomes guidelines. Results: Postoperative AKI occurred more frequently in the low PWR group than in the high PWR group before PSM (45 [1.8%] vs. 7 [0.4%], P<0.001) and after (17 [1.5%] vs. 5 [0.4%], P=0.016). A low preoperative PWR was predictive of postoperative AKI before PSM (odds ratio [95% CI], 3.93 [1.74–8.87]; P<0.001) and after (3.44 [1.26–9.34], P=0.016). Preoperative PWR showed the highest area under the curve for postoperative AKI (0.713 [0.644–0.782], P<0.001), followed by preoperative platelet-to-neutrophil ratio (0.694 [0.619–0.769], P<0.001), neutrophil percentage-to-albumin ratio (0.671 [0.592–0.750], P<0.001), white blood cell-to-hemoglobin ratio (0.665 [0.579–0.750], P<0.001), neutrophil-to-lymphocyte ratio (0.648 [0.569–0.728], P<0.001), and systemic inflammatory index (0.615 [0.532–0.698], P=0.004). Conclusions A low preoperative PWR was associated with postoperative AKI following cerebral aneurysm treatment.

Objective: : This study compared the quality of recovery (QoR) after minicraniotomy for clipping of unruptured intracranial aneurysms (UIAs) between patients with and without scalp nerve block (SNB). Methods: : Patients were randomly assigned to the SNB (SNB using ropivacaine with epinephrine, n=27) and control (SNB using normal saline, n=25) groups. SNB was performed at the end of surgery. To assess postoperative QoR, the QoR-40, a patient-reported questionnaire, was used. The QoR-40 scores were measured preoperatively, 1–3 days postoperatively, at hospital discharge, and 1 month postoperatively. Pain and intravenous patient-controlled analgesia (IV-PCA) consumption were evaluated 3, 6, 9, and 12 hours and 1–3 days postoperatively. Results: : All QoR-40 scores, including those measured 1 day postoperatively (primary outcome measure; 155.0 [141.0–176.0] vs. 161.0 [140.5–179.5], p=0.464), did not significantly differ between the SNB and control groups. The SNB group had significantly less severe pain 3 (numeric rating scale [NRS]; 3.0 [2.0–4.0] vs. 5.0 [3.5–5.5], p=0.029), 9 (NRS; 3.0 [2.0–4.0] vs. 4.0 [3.0–5.0], p=0.048), and 12 (NRS; 3.0 [2.0–4.0] vs. 4.0 [3.0–5.0], p=0.035) hours postoperatively. The total amount of IV-PCA consumed was significantly less 3 hours postoperatively in the SNB group (2.0 [1.0–4.0] vs. 4.0 [2.0–5.0] mL, p=0.044). Conclusion : After minicraniotomy for clipping of UIAs, SNB reduced pain and IV-PCA consumption in the early postoperative period but did not improve the QoR-40 scores.

Objective: : The use of indocyanine green videoangiography (ICG-VA) to assess blood flow in the brain during cerebrovascular surgery has been increasing. Clinical studies on ICG-VA have predominantly focused on qualitative analysis. However, quantitative analysis numerical modelling for time profiling enables a more accurate evaluation of blood flow kinetics. In this study, we established a multiple exponential modified Gaussian (multi-EMG) model for quantitative ICG-VA to understand accurately the status of cerebral hemodynamics. Methods: : We obtained clinical data of cerebral blood flow acquired the quantitative analysis ICG-VA during cerebrovascular surgery. Varied asymmetric peak functions were compared to find the most matching function form with clinical data by using a nonlinear regression algorithm. To verify the result of the nonlinear regression, the mode function was applied to various types of data. Results: : The proposed multi-EMG model is well fitted to the clinical data. Because the primary parameters—growth and decay rates, and peak centres and heights—of the model are characteristics of model function, they provide accurate reference values for assessing cerebral hemodynamics in various conditions. In addition, the primary parameters can be estimated on the curves with partially missed data. The accuracy of the model estimation was verified by a repeated curve fitting method using manipulation of missing data. Conclusion : The multi-EMG model can possibly serve as a universal model for cerebral hemodynamics in a comparison with other asymmetric peak functions. According to the results, the model can be helpful for clinical research assessment of cerebrovascular hemodynamics in a clinical setting.

Background: The prognostic nutritional index (PNI) reflects systemic inflammation and nutritional status. This study aimed to evaluate the effect of preoperative PNI on postoperative cancer-specific survival in patients with endometrial cancer (EC). Methods: Demographic, laboratory, and clinical data were retrospectively collected from 894 patients who underwent surgical resection of EC. Preoperative PNIs were determined from the serum albumin concentration and total lymphocyte count, which were measured within 1 month before surgery. Patients were classified into high PNI (n = 619) and low PNI (n = 275) groups according to the preoperative PNI cut-off value of 50.6. The stabilized inverse probability of treatment weighting (IPTW) method was used to reduce bias: a weighting cohort divided into high PNI (n = 615.4) and low PNI (n = 272.3) groups. The primary outcome measure was postoperative cancer-specific survival. Results: The postoperative cancer-specific survival rate was higher in the high PNI group than the low PNI group in the unadjusted cohort (93.1% vs. 81.5%; proportion difference [95% confidence interval; 95% CI], 11.6% [6.6–16.6%]; P < 0.001) and in the IPTW- adjusted cohort (91.4% vs. 86.0%; 5.4% [0.8–10.2%]; P = 0.021). In the multivariate Cox proportional hazard regression model in the IPTW-adjusted cohort, high preoperative PNI (hazard ratio [95% CI], 0.60 [0.38–0.96]; P = 0.032) was an independent determinant of postoperative cancer-specific mortality. The multivariate-adjusted restricted cubic spline curve for the Cox regression model showed a significant negative association between preoperative PNI and postoperative cancer-specific mortality (P < 0.001). Conclusion High preoperative PNI was associated with improved postoperative cancerspecific survival in patients undergoing surgery for EC.

No abstract available.

No abstract available.
Prostate