The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies.

Immune checkpoint blockade has provided a paradigm shift in cancer therapy, but the success of this approach is very variable; therefore, biomarkers predictive of clinical efficacy are urgently required. Here, we show that the frequency of PD-1+CD8+ T cells relative to that of PD-1+ regulatory T (Treg) cells in the tumor microenvironment can predict the clinical efficacy of programmed cell death protein 1 (PD-1) blockade therapies and is superior to other predictors, including PD ligand 1 (PD-L1) expression or tumor mutational burden. PD-1 expression by CD8+ T cells and Treg cells negatively impacts effector and immunosuppressive functions, respectively. PD-1 blockade induces both recovery of dysfunctional PD-1+CD8+ T cells and enhanced PD-1+ Treg cell-mediated immunosuppression. A profound reactivation of effector PD-1+CD8+ T cells rather than PD-1+ Treg cells by PD-1 blockade is necessary for tumor regression. These findings provide a promising predictive biomarker for PD-1 blockade therapies.

Prediction of the neurological outcomes post-cardiac arrest: A prospective validation of the CAST and rCAST.

INTRODUCTION: The neurologic prognosis of out-of-hospital cardiac arrest (OHCA) patients in whom return of spontaneous circulation (ROSC) is achieved remains poor. The aim of this study was to externally and prospectively validate two scoring systems developed by us: the CAST score, a scoring system to predict the neurological prognosis of OHCA patients undergoing targeted temperature management (TTM), and a simplified version of the same score developed for improved ease of use in clinical settings, the revised CAST (rCAST) score. METHODS: This study was a prospective, multicenter, observational study conducted using the SOS KANTO 2017 registry, an OHCA registry involving hospitals in the Kanto region (including Tokyo) of Japan. The primary outcome was favorable neurological outcome (defined as Cerebral Performance Category score of 1 or 2) at 30 days and the secondary outcomes were favorable neurological outcome at 90 days and survival at 30 and 90 days. The predictive accuracies of the original CAST (oCAST) and rCAST scores were evaluated by using area under the receiver operating characteristic curve (AUC). RESULTS: Of 9909 OHCA patients, 565 showed ROSC and received TTM. Of these, we analyzed the data of 259 patients in this study. The areas under the receiver operating characteristic curve (AUCs) of the oCAST and rCAST scores for predicting a favorable neurological outcome at 30 days were 0.86 and 0.87, respectively, and those for predicting a favorable neurological outcome at 90 days were 0.87 and 0.88, respectively. The rCAST showed a higher predictive accuracy for the neurological outcome as compared with the NULL-PLEASE score. The patients with a favorable neurological outcome who had been classified into the high severity group based on the rCAST tended to have hypothermia at hospital arrival and to not show any signs of loss of gray-white matter differentiation on brain CT. Neurological function at 90 days was correlated with the rCAST (r = 0.63, p < 0.001). CONCLUSIONS: rCAST showed high predictive accuracy for the neurological prognosis of OHCA patients managed by TTM, comparable to that of the oCAST score. The scores on the rCAST were strongly correlated with the neurological functions at 90 days, implying that the rCAST is a useful scale for assessing the severity of brain injury after cardiac arrest.

Development of a machine learning-based risk model for postoperative complications of lung cancer surgery.

PURPOSE: To develop a comorbidity risk score specifically for lung resection surgeries. METHODS: We reviewed the medical records of patients who underwent lung resections for lung cancer, and developed a risk model using data from 2014 to 2017 (training dataset), validated using data from 2018 to 2019 (validation dataset). Forty variables were analyzed, including 35 factors related to the patient's overall condition and five factors related to surgical techniques and tumor-related factors. The risk model for postoperative complications was developed using an elastic net regularized generalized linear model. The performance of the risk model was evaluated using receiver operating characteristic curves and compared with the Charlson Comorbidity Index (CCI). RESULTS: The rate of postoperative complications was 34.7% in the training dataset and 21.9% in the validation dataset. The final model consisted of 20 variables, including age, surgical-related factors, respiratory function tests, and comorbidities, such as chronic obstructive pulmonary disease, a history of ischemic heart disease, and 12 blood test results. The area under the curve (AUC) for the developed risk model was 0.734, whereas the AUC for the CCI was 0.521 in the validation dataset. CONCLUSIONS: The new machine learning model could predict postoperative complications with acceptable accuracy. CLINICAL REGISTRATION NUMBER: 2020-0375.

CHST4 Gene as a Potential Predictor of Clinical Outcome in Malignant Pleural Mesothelioma.

Malignant pleural mesothelioma (MPM) develops primarily from asbestos exposures and has a poor prognosis. In this study, The Cancer Genome Atlas was used to perform a comprehensive survival analysis, which identified the CHST4 gene as a potential predictor of favorable overall survival for patients with MPM. An enrichment analysis of favorable prognostic genes, including CHST4, showed immune-related ontological terms, whereas an analysis of unfavorable prognostic genes indicated cell-cycle-related terms. CHST4 mRNA expression in MPM was significantly correlated with Bindea immune-gene signatures. To validate the relationship between CHST4 expression and prognosis, we performed an immunohistochemical analysis of CHST4 protein expression in 23 surgical specimens from surgically treated patients with MPM who achieved macroscopic complete resection. The score calculated from the proportion and intensity staining was used to compare the intensity of CHST4 gene expression, which showed that CHST4 expression was stronger in patients with a better postoperative prognosis. The median overall postoperative survival was 107.8 months in the high-expression-score group and 38.0 months in the low-score group (p = 0.044, log-rank test). Survival after recurrence was also significantly improved by CHST4 expression. These results suggest that CHST4 is useful as a prognostic biomarker in MPM.

Efficacy of Endoscopic Ultrasound-guided Celiac Plexus Neurolysis for Abdominal Pain in Patients With Unresectable Pancreatic Cancer: Network Meta-analysis of Randomized Controlled Trials.

GOALS: We conducted a systematic review and network meta-analysis to investigate the effect of endoscopic ultrasound-guided celiac plexus neurolysis added to medical management (EUS-CPN+MM) compared with MM, percutaneous CPN (P-CPN)+MM, or intraoperative CPN (I-CPN)+MM for abdominal pain associated with unresectable pancreatic cancer. BACKGROUND: Many approaches to CPN have been proposed since 1919. EUS-CPN, which is less invasive and safer than traditional procedures, has been preferred recently, but the superiority of EUS-CPN+MM has not been fully investigated. STUDY: We performed searches of PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials for randomized controlled trials (RCTs) on March 16, 2021. We conducted the network meta-analysis using a frequentist weighted least-squares approach. We used a random-effects model to synthesize the primary outcome, defined as the mean difference between treatment groups in standardized pain intensity scores at 4 and 12 weeks. RESULTS: We selected 10 RCTs involving 662 individuals. At 4 weeks, the estimated mean difference between the EUS-CPN+MM and MM groups was -1.30 (95% CI: -2.19 to -0.41) in favor of EUS-CPN+MM, and that between the EUS-CPN+MM and P-CPN+MM groups was -0.88 (95% CI: -1.82 to 0.06). At 12 weeks, the estimated mean difference between the EUS-CPN+MM and MM groups was -2.58 (95% CI: -3.68 to -1.48), and that between the EUS-CPN+MM and P-CPN+MM groups was -2.44 (95% CI: -4.03 to -0.84), both in favor of EUS-CPN+MM. CONCLUSIONS: The combination of EUS-CPN+MM was effective at 4 and 12 weeks, although the risk of bias in synthesized studies was generally high, necessitating careful interpretation.

The prognostic impact of limited-staging surgery in patients with stage IA epithelial ovarian cancer: a multi-center study with a propensity score-adjusted analysis.

OBJECTIVE: Complete-staging surgery is recommended for stage IA ovarian cancer, but may be omitted for various reasons, including the preservation of fertility and an advanced age. We herein investigated the prognostic impact of limited-staging surgery in patients with stage IA epithelial ovarian cancer. METHODS: We retrospectively collected data on 4730 patients with malignant ovarian tumors from the databases of multiple institutions and ultimately included 293 with stage IA epithelial ovarian cancer. Limited-staging surgery was defined as one that did not involve hysterectomy, systematic retroperitoneal lymphadenectomy or the collection of ascites cytology. We used an inverse probability of treatment weighting analysis with propensity scores and estimated the hazard ratios of recurrence and death with limited-staging surgery. RESULTS: In total, 176 out of 293 patients (39.9%) were assigned to the limited-staging surgery group. After propensity score adjustments, no significant differences were observed in recurrence-free survival or overall survival between the limited- and complete-staging surgery groups. Even in the subgroup analysis with age stratification, recurrence-free survival and overall survival were similar in the limited- and complete-staging surgery groups. CONCLUSIONS: The present results indicate the limited prognostic impact of limited-staging surgery for stage IA epithelial ovarian cancer.

Epicardial adipose tissue volume is associated with abdominal aortic aneurysm expansion.

BACKGROUND: The epicardial adipose tissue volume (EATV) is associated with cardiovascular diseases such as coronary artery disease. However, no information is available regarding the relationship between the EATV and abdominal aortic aneurysm (AAA) expansion. In the present study, we evaluated the association between the EATV and AAA growth and sought to identify the predictors of AAA expansion. METHODS: Between June 2009 and December 2019, 906 patients had undergone endovascular or open repair of AAAs at our institution. Patients with previous cardiac surgery, previous ascending thoracic aortic surgery, a ruptured AAA, an infected AAA, an inflammatory AAA, a saccular aneurysm, a solitary iliac aneurysm, or reintervention after treatment of the AAA were excluded. A total of 237 patients with at least two preoperative computed tomography (CT) scans performed >180 days apart were included in the present study. The EATV within the pericardium was retrospectively quantified from the preoperative non-contrast-enhanced CT images using a three-dimensional workstation. The EATV index was defined as the EATV divided by the body surface area. The AAA expansion rate was defined as an increase in the AAA diameter annually, and the patients were divided into the slow-expansion group (expansion rate, <5 mm/y) and the fast-expansion group (expansion rate, ≥5 mm/y). The correlation between the expansion rate and the EATV index was analyzed, and the cutoff value for the EATV index was determined using a receiver operating characteristics curve. Multivariate analysis was used to assess the predictors of the AAA expansion rate. RESULTS: The expansion rate of AAA correlated positively with the EATV index (R = 0.237; P < .001). The initial aneurysm diameter (P < .001) and EATV index (P = .009) differed significantly between the two groups. The cutoff for the EATV index was 60.3 cm3/m2 (area under the curve, 0.658; 95% confidence interval [CI], 0.568-0.749; sensitivity, 1.000; specificity, 0.309). Multivariate analysis revealed that the initial aneurysm diameter and an EATV index of >60.3 cm3/m2 were significantly associated with the AAA expansion rate. CONCLUSIONS: The results of the present study have demonstrated that the EATV index is associated with AAA expansion.

Blinded sample size re-estimation for comparing over-dispersed count data incorporating follow-up lengths.

Blinded sample size re-estimation (BSSR) is an adaptive design to prevent the power reduction caused by misspecifications of the nuisance parameters in the sample size calculation of comparative clinical trials. However, conventional BSSR methods used for overdispersed count data may not recover the power as expected under the misspecification of the working variance function introduced by the specified analysis model. In this article, we propose a BSSR method that is robust to the misspecification of the working variance function. A weighted estimator of the dispersion parameter for the BSSR is derived, where the weights are introduced to incorporate the difference in the distribution of follow-up length between the interim analysis with BSSR and the final analysis. Simulation studies demonstrated the power of the proposed BSSR method was relatively stable under misspecifications of the working variance function. An application to a hypothetical randomized clinical trial of a treatment to reduce exacerbation rate in patients with chronic obstructive pulmonary disease is provided.

Bias correction based on weighted likelihood for conditional estimation of subgroup effects in randomized clinical trials.

Currently, many confirmatory randomized clinical trials (RCTs) with predictive markers have taken the all-comers approach because of the difficulty in developing predictive markers that are biologically compelling enough to apply the enrichment approach to restrict the patient population to a marker-defined subgroup. However, such a RCT with weak marker credentials can conclude that the new treatment is efficacious only in the subgroup, especially when the primary analysis demonstrates some treatment efficacy in the subgroup, but the overall treatment efficacy is not significant under a control of study-wise alpha rate. In this article, we consider conditional estimation of subgroup treatment effects, given the negative result in testing the overall treatment efficacy in the trial. To address the problem of unstable estimation due to the truncation in the distribution of the test statistic on overall treatment efficacy, we propose a new approach based on a weighted likelihood for the truncated distribution. The weighted likelihood can be derived by invoking a randomized test with a smooth critical function for the overall test. Our approach allows for point and interval estimations of the conditional effects consistently based on the standard maximum likelihood inference. Numerical evaluations, including simulations and application to real clinical trials, and guidelines for implementing our methods with R-codes, are provided.

Risk factors for antibiotic resistance in hospital-acquired and ventilator-associated pneumonia.

INTRODUCTION: Understanding risk factors for antibiotic resistance (AR) in patients with hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP) is important to select appropriate initial antibiotics and reduce broad-spectrum antibiotic overuse. However, available evidence is limited. We aimed to identify risk factors for AR in those patients. METHODS: This prospective observational study was conducted at a tertiary-care hospital. Pathogens with AR were defined as those resistant to ampicillin-sulbactam or ceftriaxone. Risk factors for AR in patients with HAP and VAP were assessed using penalized logistic regression analysis. RESULTS: In total, 557 patients with HAP and VAP were enrolled. Pathogens were isolated from 315 patients, with AR identified in 68.3% (215/315). Among antibiotic-resistant pathogens (ARPs), Pseudomonas aeruginosa was isolated most frequently, followed by methicillin-resistant Staphylococcus aureus (MRSA). Significant risk factors for AR were chronic renal diseases (adjusted odds ratio: 2.82, 95% confidence interval: 1.79-7.83), history of ARP infection/colonization within the past 1 year (2.80, 1.90-7.02), bedridden state (1.84, 1.28-3.91), tube feeding (1.58, 1.09-2.98), and peripheral or central venous catheterization (1.57, 1.06-2.96). Additionally, a risk factor for ARPs that should be treated with anti-MRSA antibiotics was prior MRSA infection/colonization history. Those for ARPs requiring dual antipseudomonal antibiotics included prior non-MRSA ARP or MRSA infection/colonization history and bedridden state. CONCLUSIONS: The five factors we highlighted can be important criteria for identifying patients at risk of AR. Physicians should consider these potential risk factors when selecting antibiotics for initial empirical therapy in patients with HAP and VAP.

Who are the long-term survivors of recurrent ovarian carcinoma?: a retrospective analysis of a multicenter study.

BACKGROUND: The aim of the present study was to investigate the incidence and hallmarks of long-term survivors of recurrent ovarian carcinoma (LTSROC) in a large-scale retrospective cohort of patients from a multicenter study group. METHODS: We performed a regional multicenter retrospective study between January 1986 and September 2021 using clinical data collected under the central pathological review system. Patients who underwent surgery for primary OC at diagnosis and developed recurrent tumors after the initial treatment were included. We defined LTSROC as patients who survived for 5 years or longer after initial tumor recurrence and examined factors affecting the long-term survival of ROC and outcomes of LTSROC. RESULTS: We collected information on patients with malignant ovarian tumors and finally 657 of them that developed ROC were included in the study population. Sixty-eight (10.4%) patients were LTSROC while 399 (60.7%) were short-term survivors of recurrent ovarian carcinoma. In a multivariate logistic regression analysis, negative ascites cytology [odds ratio (OR) 1.865; 95% CI 1.026-3.393; p = 0.041] and a recurrence-free interval (RFI) of 1 year or longer (OR 2.896; 95% CI 1.546-5.425; p < 0.001) were identified as independent factors associated with LTSROC. Approximately 80% of LTSROC presented with solitary recurrent tumors. Furthermore, more than 50% of LTSROC underwent tumor debulking surgery for the first recurrent tumor with or without chemotherapy. CONCLUSION: RFI of 1 year or longer and negative ascites cytology in the initial surgery were identified as independent predictive factors for LTSROC.

A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study.

BACKGROUND: Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP. METHODS: Logistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpatients in another prospective multicenter study. RESULTS: The ALL-COP SCORE rule included albumin (< 2 g/dL, 2 points; 2-3 g/dL, 1 point), white blood cell (< 4000 cells/µL, 3 points), chronic lung disease (1 point), confusion (2 points), PaO2/FIO2 ratio (< 200 mmHg, 3 points; 200-300 mmHg, 1 point), potassium (≥ 5.0 mEq/L, 2 points), arterial pH (< 7.35, 2 points), systolic blood pressure (< 90 mmHg, 2 points), PaCO2 (> 45 mmHg, 2 points), HCO3- (< 20 mmol/L, 1 point), respiratory rate (≥ 30 breaths/min, 1 point), pleural effusion (1 point), and extent of chest radiographical infiltration in unilateral lung (> 2/3, 2 points; 1/2-2/3, 1 point). Patients with 4-5, 6-7, and ≥ 8 points had 17%, 35%, and 52% increase in the probability of SAEs, respectively, whereas the probability of SAEs was 3% in patients with ≤ 3 points. The ALL-COP SCORE rule exhibited a higher area under the receiver operating characteristic curve (0.85) compared with the other predictive models, and an ALL-COP SCORE threshold of ≥ 4 points exhibited 92% sensitivity and 60% specificity. CONCLUSIONS: ALL-COP SCORE rule can be useful to predict SAEs and aid in decision-making on treatment intensity for all inpatients with CAP including those with HCAP. Higher-intensity treatment should be considered in patients with CAP and an ALL-COP SCORE threshold of ≥ 4 points. TRIAL REGISTRATION: This study was registered with the University Medical Information Network in Japan, registration numbers UMIN000003306 and UMIN000009837.

Machine learning prediction models for postpartum depression: A multicenter study in Japan.

AIM: Postpartum depression (PPD) and perinatal mental health care are of growing importance worldwide. Here we aimed to develop and validate machine learning models for the prediction of PPD, and to evaluate the usefulness of the recently adopted 2-week postpartum checkup in some parts of Japan for the identification of women at high risk of PPD. METHODS: A multicenter retrospective study was conducted using the clinical data of 10 013 women who delivered at ≥35 weeks of gestation at 12 maternity care hospitals in Japan. PPD was defined as an Edinburgh Postnatal Depression Scale score of ≥9 points at 4 weeks postpartum. We developed prediction models using conventional logistic regression and four machine learning algorithms based on the information that can be routinely collected in daily clinical practice. The model performance was evaluated using the area under the receiver operating characteristic curve (AUROC). RESULTS: In the machine learning models developed using clinical data before discharge, the AUROCs were similar to those in the conventional logistic regression models (AUROC, 0.569-0.630 vs. 0.626). The incorporation of additional 2-week postpartum checkup data into the model significantly improved the predictive performance for PPD compared to that without in the Ridge regression and Elastic net (AUROC, 0.702 vs. 0.630 [p < 0.01] and 0.701 vs. 0.628 [p < 0.01], respectively). CONCLUSIONS: Our machine learning models did not achieve better predictive performance for PPD than conventional logistic regression models. However, we demonstrated the usefulness of the 2-week postpartum checkup for the identification of women at high risk of PPD.

Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications.

Clinical risk prediction formulas for cancer patients can be improved by dynamically updating the formulas by intermediate events, such as tumor progression. The increased accessibility of individual patient data (IPD) from multiple studies has motivated the development of dynamic prediction formulas accounting for between-study heterogeneity. A joint frailty-copula model for overall survival and time to tumor progression has the potential to develop a dynamic prediction formula of death from heterogenous studies. However, the process of developing, validating, and publishing the prediction formula is complex, which has not been sufficiently described in the literature. In this article, we provide a tutorial in order to build a web-based application for dynamic risk prediction for cancer patients on the basis of the R packages joint.Cox and Shiny. We demonstrate the proposed methods using a dataset of breast cancer patients from multiple clinical studies. Following this tutorial, we demonstrate how one can publish web applications available online, which can be manipulated by any user through a smartphone or personal computer. After learning this tutorial, developers acquire the ability to build an online web application using their own datasets.

Systematic review and meta-analysis of celiac plexus neurolysis for abdominal pain associated with unresectable pancreatic cancer.

INTRODUCTION: Celiac plexus neurolysis (CPN) has been developed as adjunctive therapy to medical management (MM) of abdominal pain associated with unresectable pancreatic cancer. We aimed to conduct a systematic review and meta-analysis to obtain updated and more accurate evidence on the efficacy of additional types of CPN, including endoscopic ultrasound-guided CPN (EUS-CPN). METHODS: On March 16, 2021, we performed searches of PubMed, Web of Science, and CENTRAL for original randomized controlled trials (RCTs). We defined the primary outcome as a standardized pain intensity score with a range of 0-10, and evaluated the mean difference between the CPN + MM and MM groups at 4, 8, and 12 weeks after the initiation of treatment. We used a random-effects model to synthesize the mean differences across RCTs. RESULTS: We selected 10 RCTs involving 646 individuals. The synthesized mean difference in the pain intensity score between the CPN + MM and MM groups was -0.58 (95% confidence interval [CI]: -1.09 to -0.07) (p = 0.034) in favor of CPN + MM at 4 weeks, -0.46 (95%CI: -1.00 to 0.08) (p = 0.081) at 8 weeks, and - 1.35 (95%CI: -3.61 to 0.92) (p = 0.17) at 12 weeks. CONCLUSIONS: This updated meta-analysis of CPN demonstrates its efficacy for managing abdominal pain at 4 weeks. Although there are various limitations, when abdominal pain in patients with unresectable pancreatic cancer is poorly controlled with MM alone, CPN should be an option even if the duration of effect is short-lived, taking into account the absence of serious adverse events.

Prognostic value of desmoplastic reaction characterisation in stage II colon cancer: prospective validation in a Phase 3 study (SACURA Trial).

BACKGROUND: The characterisation of desmoplastic reaction (DR) has emerged as a new, independent prognostic determinant in colorectal cancer. Herein, we report the validation of its prognostic value in a randomised controlled study (SACURA trial). METHODS: The study included 991 stage II colon cancer patients. DR was classified by the central review as Mature, Intermediate or Immature based on the presence of hyalinised collagen bundles and myxoid stroma at the desmoplastic front. All clinical and pathological data, including DR characterisations, were prospectively recorded and analysed 5 years after the completion of the registration. RESULTS: The five-year relapse-free survival (RFS) rate was the highest in the Mature group (N = 638), followed by the Intermediate (N = 294) and Immature groups (N = 59). Multivariate analysis revealed that DR classification was an independent prognostic factor, and based on Harrell's C-index, the Cox model for predicting RFS was significantly improved by including DR. In the conditional inference tree analysis, DR categorisation was the first split factor for predicting RFS, followed by T-stage, microsatellite instability status and budding. CONCLUSIONS: Histological categorisation of DR provides important prognostic information that could contribute to the efficient selection of stage II colon cancer patients who would benefit from postoperative adjuvant therapy.

Outcome Related to Level of Targeted Temperature Management in Postcardiac Arrest Syndrome of Low, Moderate, and High Severities: A Nationwide Multicenter Prospective Registry.

OBJECTIVES: The optimal target temperature during targeted temperature management for patients after cardiac arrest remains under debate. The aim of this study was to evaluate the association between targeted temperature management at lower target temperatures and the neurologic outcomes among patients classified by the severity of postcardiac arrest syndrome. DESIGN: A multicenter observational study from the out-of-hospital cardiac arrest registry of the Japanese Association for Acute Medicine, which is a nationwide prospective registry of out-of-hospital cardiac arrest patients. SETTING: A total of 125 critical care medical centers or hospitals with an emergency care department across Japan. PATIENTS: A total of 1,111 out-of-hospital cardiac arrest patients who had received targeted temperature management. MEASUREMENTS AND MAIN RESULTS: We divided all 1,111 postcardiac arrest syndrome patients treated with targeted temperature management into two groups: those who received targeted temperature management at a lower target temperature (33-34°C) and those who received targeted temperature management at a higher target temperature (35-36°C). In regard to classification of the patients, we divided the patients into three categories of severity (low, moderate, and high severities) using the risk classification tool, post-Cardiac Arrest Syndrome for Therapeutic hypothermia, which was previously validated. The primary outcome was the percentage of patients with a good neurologic outcome at 30 days, and the secondary outcome was the survival rate at 30 days. Multivariate analysis showed that targeted temperature management at 33-34°C was significantly associated with a good neurologic outcome and survival at 30 days in the moderate severity (odds ratio, 1.70 [95% CI, 1.03-2.83] and 1.90 [95% CI, 1.15-3.16], respectively), but not in the patients of low or high severity (pinteraction = 0.033). Propensity score analysis also showed that targeted temperature management at 33-34°C was associated with a good neurologic outcome in the moderate-severity group (p = 0.022). CONCLUSIONS: Targeted temperature management at 33-34°C was associated with a significantly higher rate of a good neurologic outcome in the moderate-severity postcardiac arrest syndrome group, but not in the low- or high-severity group.

Does complete-staging lymphadenectomy improve survival outcomes in stage I endometrioid epithelial ovarian carcinoma? A multi-institutional retrospective study with propensity score-weighted analysis.

BACKGROUND: We investigated the prognostic impact of complete-staging lymphadenectomy on patients with clinically apparent Stage I endometrioid epithelial ovarian carcinoma. METHODS: We conducted a regional multi-institutional retrospective study between 1986 and 2018. Amongst 4897 patients with malignant ovarian tumours diagnosed under central pathological review, 259 women with Stage I endometrioid epithelial ovarian carcinoma were eligible. We evaluated differences in survival of patients with both pelvic and para-aortic lymphadenectomy (Group A) and those with only pelvic lymphadenectomy and/or clinical lymph node evaluation (Group B). To analyse the therapeutic effects, the baseline imbalance between patients with both pelvic and para-aortic lymphadenectomy and others was adjusted with an inverse probability of treatment weighting using propensity score involving independent clinical variables. RESULTS: In total, 145 patients (56.0%) received both pelvic and para-aortic lymphadenectomy. With propensity score-based adjustment, estimated survival was better in Group A compared with that in Group B but not significant. Pelvic and para-aortic lymphadenectomy also led to no significant improvement of overall survival in most of the subgroups. However, point estimations of the hazard ratio for lymphadenectomy in patients with an age of 45 or younger (hazard ratio, 0.304; 95% confidence interval, 0.094-0.982), a Grade 1-2 (hazard ratio, 0.441; 95% confidence interval, 0.204-0.954) and T1c2-3 tumour (hazard ratio, 0.449; 95% confidence interval, 0.164-1.231) were better compared with those with the opposite characteristics. CONCLUSIONS: Complete-staging lymphadenectomy was not a significant prognostic factor in patients with Stage I endometrioid epithelial ovarian carcinoma, where we still need to explore appropriate candidate for the procedure.

Postoperative stroke and neurological outcomes in the early phase after revascularization surgeries for moyamoya disease: an age-stratified comparative analysis.

Stroke and neurological outcomes in the early phase following revascularization for moyamoya disease (MMD) may depend on the patient's age. In this study, an age-stratified comparative analysis was performed to clarify this issue. We reviewed 105 MMD patients who underwent 179 revascularization surgeries. The demographic characteristics were collected in four age groups (≤ 5 and 6-17 years for pediatric patients and 18-49 and ≥ 50 years for adults). Additionally, we assessed the incidence of subsequent stroke and deterioration of modified Rankin Scale (mRS) score. Then, we evaluated predictors of postoperative stroke and mRS deterioration using logistic regression. The mean patient age was 26.2 ± 18.5 years. No significant difference in the incidence of postoperative stroke was observed between age groups; however, the incidence tended to be increased among patients aged ≤ 5 years (17.9%) and patients aged ≥ 50 years (16.7%). Deterioration of mRS scores was significantly associated with ages ≤ 5 years (17.9%) and ≥ 50 years (11.1%). Logistic regression showed that posterior cerebral artery involvement (odds ratio [OR], 4.6) and postoperative transient neurological events (TNEs) (OR, 5.93) were risk factors for postoperative stroke. Age ≤ 5 years (OR, 9.73), postoperative TNEs (OR, 7.38), and postoperative stroke (OR, 49) were identified as predictors of unfavorable neurological outcomes. The novel feature of this comparative analysis by age group is that membership in the early-childhood MMD patient group (under 5 years old) was an independent risk factor for unfavorable short-term neurological outcomes and was mainly associated with the incidence of postoperative severe cerebral infarction.

Desmoid with biweekly methotrexate and vinblastine shows similar effects to weekly administration: A phase II clinical trial.

Low-dose methotrexate (MTX) plus vinblastine (VBL) chemotherapy is an effective treatment for desmoid-type fibromatosis (DF). However, previous reports have described a weekly regimen, with no reports available on a biweekly one. The aim of this study was to determine the clinical outcomes of a biweekly regimen in a cohort prospectively treated in our single institution. Since 2010, we have prospectively treated refractory DF patients with biweekly MTX (30 mg/m2 ) + VBL (6 mg/m2 ). Efficacy, progression-free survival (PFS), and correlating factors were analyzed. Adverse events (AEs) were recorded. In total, 38 patients received low-dose MTX + VBL therapy, and its efficacy was assessed in 37 of them. Nineteen (51%) patients showed partial response (PR). Clinical benefit rate was 95%. PFS at 5 y was 80.8%. In PR cases, median time to response was 10 mo. Longer duration of therapy was significantly associated with the response of PR (P = .007) by univariate analysis. There was no clear association between various clinicopathological factors, including tumor size, location, catenin beta-1 (CTNNB1) mutation status with effect. Only 3 AEs of grade 3/4 were observed. Tumor regrowth after MTX + VBL discontinuation was observed in 5 (20%) of 25 patients. Biweekly administration of MTX + VBL chemotherapy was well tolerated compared with weekly administration, and its efficacy was anticipated in DF patents, although the time needed to achieve a response may be relatively long. The treatment interval should be determined taking into account both the condition of the tumor and the patient's preference.