Optimal Cut Research Articles

Accounting for learning environments in academic screening

Within multi-tiered systems of support (MTSS) practice and research, students' need for academic intervention is often determined by comparison of students' screening scores to cut scores. We examined the degree to which the relationship between students' fall screening data (i.e., Measures of Academic Progress) and their outcome on a spring summative state test related to the quality of the classroom learning environment and how core instructional strategies influenced this relationship. Fall screening data and spring state test outcomes in English/language arts (ELA) and math were analyzed from a sample of 72 teachers and 1554 third-grade students. Multilevel logistic regression revealed that the association between students' ELA or math skills at the beginning of a school year and state test at the end of the year were not identical across classrooms (odds ratios range = 0.81–0.92). A significant interaction was observed between students' fall ELA screening scores and teachers' instructional strategy use in predicting state test outcomes (p = .03). Teacher strategy use was found to be a significant contributor to false positives in screening decisions based on optimal cut scores for ELA (p = .003), but not math.

Glycated albumin levels in the third trimester of women with gestational diabetes mellitus are associated with adverse pregnancy-related outcomes

BackgroundGlycated albumin (GA) levels have been considered as a promising biomarker for estimating glycemic control during pregnancy, but the relationship between GA levels and the incidence of adverse pregnancy outcomes in women with gestational diabetes mellitus (GDM) remains unclear. Our study aimed to investigate the relationship between GA levels during the third trimester and 13 different adverse pregnancy-related outcomes among women with GDM in China.MethodsWe retrospectively extracted clinical data from the medical records of 819 pregnant women with GDM who underwent prenatal examinations and child delivery at the Affiliated Hospital of Qingdao University between January 2022 and October 2022. The cohort was divided into GA-high (GA-H) and GA-low (GA-L) groups based on the median GA level of 10.6%. Then, the incidence rates of 13 specific adverse pregnancy outcomes were compared between the two groups. Furthermore, we estimated the mean GA levels in pregnant GDM women with or without specific adverse outcomes. Multivariate logistic regression analysis was performed to assess whether the GA levels (high or low) were independent risk factors for specific adverse outcomes in pregnant women with GDM. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive value of GA levels for the adverse pregnant outcomes in women with GDM. E-value for sensitivity analysis was performed to assess the robustness of the findings to unmeasured confoundings.ResultsWe included 819 pregnant women with GDM, whose average age was 33.09 ± 4.47 years, average pre-pregnancy BMI was 23.51 ± 3.67 kg/m2, and the average gestational week in which GDM diagnosed was 24.80 ± 1.79 weeks. The analysis showed that 80.71% (661/819) pregnant women with GDM were associated with adverse pregnancy-related outcomes. Pregnant women in the GA-L group showed higher incidence of the premature rupture of membranes (PROM), whereas those in the GA-H group showed higher incidence of neonatal hypoglycemia. The GA levels showed acceptable clinical performance for predicting neonatal hypoglycemia with an area under the ROC curve (AUC) value of 0.700 (P = 0.010), sensitivity of 71.4%, and specificity of 70.2%. The optimal cut off value for GA was 11.55%.ConclusionsThis study demonstrated that GA levels were significantly associated with specific adverse pregnancy outcomes, especially PROM and neonatal hypoglycemia. Furthermore, GA levels in the third trimester showed acceptable clinical performance for predicting neonatal hypoglycemia among pregnant women with GDM. In the future, the potential role of GA as a predictor of adverse pregnancy outcomes need to be further confirmed and explored in GDM women.

Numerical Cincinnati Stroke Scale versus Stroke Severity Screening Tools for the Prehospital Determination of Large Vessel Occlusion

ABSTRACT OBJECTIVES Previous research demonstrated that the numerical Cincinnati Prehospital Stroke Scale (CPSS) identifies large vessel occlusion (LVO) at similar rates compared to dedicated LVO screening tools. We aimed to compare numerical CPSS to additional stroke scales using a national Emergency Medical Services (EMS) database. METHODS Using the ESO Data Collaborative, the largest EMS database with linked hospital data, we retrospectively analyzed prehospital patient records from 2022. Each EMS record was linked to corresponding emergency department (ED) and inpatient records through a data exchange platform. Prehospital CPSS was compared to the Cincinnati Stroke Triage Assessment Tool (C-STAT), the Field Assessment Stroke Triage for Emergency Destination (FAST-ED), and the Balance Eyes Face Arm Speech Time (BE-FAST). The optimal prediction cut points for LVO screening were determined by intersecting the sensitivity and specificity curves for each scale. To compare the discriminative abilities of each scale among those diagnosed with LVO, we used the area under the receiver operating curve (AUROC). RESULTS We identified 17,442 prehospital records from 754 EMS agencies with ≥ 1 documented stroke scale of interest: 30.3% (n = 5,278) had a hospital diagnosis of stroke, of which 71.6% (n = 3,781) were ischemic; of those, 21.6% (n = 817) were diagnosed with LVO. CPSS score ≥ 2 was found to be predictive of LVO with 76.9% sensitivity, 68.0% specificity, and AUROC 0.787 (95% CI 0.722-0.801). All other tools had similar predictive abilities, with sensitivity/specificity/AUROC of: C-STAT 62.5%/76.5%/0.727 (0.555-0.899); FAST-ED 61.4%/76.1%/0.780 (0.725-0.836); BE-FAST 70.4%/67.1%/0.739 (0.697-0.788). CONCLUSIONS The less complex CPSS exhibited comparable performance to three frequently employed LVO detection tools. The EMS leadership, medical directors, and stroke system directors should weigh the complexity of stroke severity instruments and the challenges of ensuring consistent and accurate use when choosing which tool to implement. The straightforward and widely adopted CPSS may improve compliance while maintaining accuracy in LVO detection.

NIMG-51. PROSPECTIVE CASE CONTROL STUDY OF HYPOXIA FMISO PET/MRI AS A DIAGNOSTIC FEATURE OF GLIOBLASTOMA IMMUNOTHERAPY FAILURE

Abstract BACKGROUND Hypoxia is a prognostic biological feature of glioblastoma. 18F-fluoromisonidazole (FMISO) PET quantifies tumor hypoxia. Efficacy of checkpoint immunotherapy is being investigated, but specific response assessment criteria remain unknown. We hypothesized that tumor hypoxia is a defining feature of immunotherapy failure in patients with glioblastoma. METHODS A prospective case control study was undertaken in patients with newly diagnosed IDH wildtype glioblastoma (NCT03649880). Cases were concurrently enrolled in a phase II study (NCT03347617) of pembrolizumab immunotherapy (200 mg IV every 3 weeks) combined with Stupp protocol temozolomide-based chemoradiotherapy following maximal safe resection. Controls did not receive pembrolizumab. FMISO PET/MRI (3.7 MBq/kg, 90 min uptake) was performed at time of mRANO presumed progression. Hypoxic volume (HV) was defined by pixels with FMISO uptake ≥1.2x that of mean cerebellar uptake. MRI-Gd enhancing volume was segmented using a semi-automated approach. Hypoxic fraction (HF) was defined as the HV-to-MRI enhancing volume ratio. Disease progression or pseudoprogression (Psp) was confirmed through surgery or follow-up MRI. T-test and receiver operator characteristic (ROC) analysis assessed differences and diagnostic performance. RESULTS 18 patients (14 cases [11 progression and 3 Psp] and 4 controls [3 progression and 1 Psp]) provided evaluable disease. For all patients, HF was significantly elevated with progression (1.44 ± 0.8; N=14) compared to Psp (0.31 ± 0.3; N= 4; P=0.01). HV was not different (P=0.10). No difference in HV or HF was observed between Cases and Controls (P> 0.42). Use of HF yielded an AUROC of 0.96 with an optimal cut off of 0.74, to differentiate progression from Psp. CONCLUSION At mRANO presumed progression HF with FMISO PET/MRI accurately distinguishes tumor progression from neuroinflammatory Psp, irrespective of prior pembrolizumab immunotherapy. The incorporation of FMISO PET/MRI in larger prospective therapeutic clinical trials in patients with glioblastoma is underway and likely to improve response assessment criteria.

Cognitive impairment among older persons with chronic illness attending primary care and its association with cardiovascular risk using the Framingham risk score

BackgroundDementia is a major public health burden, particularly among the older persons with significant implications for individuals, caregivers, and society. Identifying mild cognitive impairment early can facilitate timely intervention and care.This cross-sectional study aims to investigate the association between Framingham risk score (FRS), a widely used tool for cardiovascular disease (CVD) risk prediction, and cognitive impairment among older persons with chronic illness in Malaysia.MethodsA total of 289 participants aged 60 years and above with chronic illness were recruited from Klinik Primer Hospital Tuanku Chanselor Muhriz via simple random sampling via computer generator. The Montreal Cognitive Assessment Bahasa Malaysia version (MoCA-BM) was used to assess cognitive function and the FRS was calculated on the basis of CVD risk factors.ResultsThe prevalence of cognitive impairment among the participants was found to be 19.7%. Multiple Logistic Regression revealed that age (AOR 1.101, 95% CI = 1.041,1.163, p < 0.001), systolic blood pressure (AOR 1.048, 95%CI = 1.024, 1.072, p < 0.001) diabetes (AOR 2.655, 95% CI = 1.194, 5.906, p = 0.017) increased the odds of having cognitive impairment among older persons with chronic illness whereas secondary education ( AOR 0.087, 95% CI = 0.008, 0.963, p = 0.047) and higher education ( AOR 0.037, 95% CI = 0.002, 0.833, p = 0.038) reduced the likelihood of having cognitive impairment. Individuals with higher FRS were more likely to have cognitive impairment (AOR 1.099, 95% CI = 1.049, 1.172, p < 0.001). The optimal cutoff point for the FRS to determine cognitive impairment is 30 for males with a sensitivity and specificity of 84.4% and 51.2% while the optimal cut off point for females is 18.5 with a sensitivity and specificity of 76% and 63.1% respectively.ConclusionsThese findings suggest that the FRS which was originally designed for CVD risk assessment may also serve as a valuable predictive tool for cognitive impairment among older persons with chronic illness. Integrating FRS into routine primary care assessments could enhance the early identification of individuals at risk and enable appropriate cognitive screenings and interventions. Further research such as a longitudinal cohort study in a larger and more diverse population is warranted to validate the association of CVD risks with the development of dementia.

Developing a battery of physical performance tests to predict functional disability in Japanese older adults: A longitudinal study from the Kasama study.

Preventing functional disability benefits the quality of life of older adults and mitigates the economic burden of an aging society. However, the most effective physical performance tests and optimal cut points for identifying older adults at risk of functional disability remain unclear, and Japan lacks physical function-based assessment tools. We aimed to identify the physical performance tests related to functional disability and to develop a predictive test battery for it. We included 975 older adults (mean 72.8 ± 5.2 years, 55.4% women) in Kasama City, Japan. Functional disability was defined as certification of care level 2 or above based on the long-term care insurance system. Cox proportional hazards analysis examined the association between physical performance tests and incident functional disability. During a mean follow-up of 8.6 years (maximum 14 years), 236 participants (24.2%) developed functional disability. After adjusting for covariates, higher performances in grip strength, single-leg balance with eyes open (SLB), timed up-and-go (TUG), five-repetition sit-to-stand (5-STS), and 5-m habitual walk were significantly associated with a lower risk of functional disability. In a stepwise model, SLB, TUG, and 5-STS were key predictors of functional disability. Receiver operating characteristic analysis determined optimal cut points of 32.6/32.7 s for SLB, 6.5/6.6 s for TUG, and 7.8/7.9 s for 5-STS. We developed a predictive battery combining these cut points (area under the curve = 0.78). The developed battery of physical performance tests predicts future functional disability and is useful for screening older adults at high risk. Geriatr Gerontol Int 2024; ••: ••-••.

Elevated GDF-15 is associated with stroke severity, myocardial injury and poor clinical outcome in patients after acute ischemic stroke

Abstract Background GDF-15 is emerging as a biomarker of cardiometabolic risk and disease burden. Increased concentrations of circulating GDF-15 are associated with increased mortality in patients with acute coronary syndromes or heart failure. Purpose We aimed to describe relation between GDF-15 elevation with stroke severity, myocardial injury and poor clinical outcome in patients after acute ischemic stroke (AIS). Methods Patients after AIS were enrolled in our study. Blood samples were obtained from patients at the time of admission, 24 and 48 hours later to determine the plasma levels of GDF-15 and high-sensitive troponin I (hs-cTnI). Receiver-operating characteristic (ROC) curve analysis was used to determine the diagnostic accuracy and optimal elevation cut-off values of GDF-15 on day 1 for the severity of acute stroke defined by NIHSS score. The optimal cut off in our group was 1776 pg/ml (Sensitivity 0,8, Specificity 0,52). Myocardial injury was defined by fourth universal definition of myocardial infarction using hs-cTnI. Demographic characteristics, clinical data, functional outcome, and all-cause mortality at 1 year were compared between groups according to GDF-15 levels. National Institutes of Health Stroke Scale (NIHSS) at the time of admission and the modified Rankin Scale (mRS) 90 days following the patient’s discharge from the hospital were used to assess stroke severity and clinical outcome. All analyses were performed with SPSS 29.0 (SPSS Inc). Results Between August 2020 and August 2022, 177 patients after AIS were enrolled. Elevated GDF-15 was observed in 71 patients (40,1%). Most common comorbidities included arterial hypertension, dyslipidemia, type 2 DM and atrial fibrillation. In analysis, we observed a connection between elevated GDF-15 with unfavourable outcome evaluated by mRS at 90 days (HR 2.57, 95% CI 1,44 to 4,57, p=0.001) and with all-cause death at 1 year (HR 4.479, 95% CI 1,81 to 11,09, p=0.001). GDF-15 elevation was associated with myocardial injury (Figure 1C). Moreover, individuals with moderate to severe and severe strokes (NIHSS 16-42) displayed higher GDF-15 levels compared to those with minor to moderate stroke (Figure 1D). The Kaplan-Meier survival curve accentuated a significantly elevated all-cause mortality among patients with increased GDF-15 (p &amp;lt; 0.001) (Figure 2). In multivariate regression analysis elevated GDF-15 was associated with atrial fibrillation and high-sensitive troponin I elevation. Conclusion The conclusions drawn suggest that heightened GDF-15 is associated with increased stroke severity, myocardial injury and unfavourable outcome.

Overlapping community detection in weighted networks via hierarchical clustering.

In real-world networks, community structures often appear as tightly connected clusters of nodes, with recent studies suggesting a hierarchical organization where larger groups subdivide into smaller ones across different levels. This hierarchical structure is particularly complex in trade networks, where actors typically belong to multiple communities due to diverse business relationships and contracts. To address this complexity, we present a novel algorithm for detecting hierarchical structures of overlapping communities in weighted networks, focusing on the interdependency between internal and external quality metrics for evaluating the detected communities. The proposed Graph Hierarchical Agglomerative Clustering (GHAC) approach utilizes maximal cliques as the basis units for hierarchical clustering. The algorithm measures dissimilarities between clusters using the minimal closed trail distance (CT-distance) and the size of maximal cliques within overlaps, capturing the density and connectivity of nodes. Through extensive experiments on synthetic networks with known ground truth, we demonstrate that the adjusted Silhouette index is the most reliable internal metric for determining the optimal cut in the dendrogram. Experimental results indicate that the GHAC method is competitive with widely used community detection techniques, particularly in networks with highly overlapping communities. The method effectively reveals the hierarchical structure of communities in weighted networks, as demonstrated by its application to the OECD weighted trade network, which describes the balanced trade value of bilateral trade relations.

Combined effect of anion gap and red cell distribution width on the risk of acute kidney injury after cardiac surgery

BackgroundThis study was to analyze the roles of red blood cell distribution width (RDW), anion gap (AG) levels and their combined effects on the risk of acute kidney injury (AKI) following cardiac surgery.MethodsThis cohort study extracted the data of 1951 participants aged ≥ 18 years with the assessment of AKI after cardiac surgery during ICU stay from MIMIC-IV database between 2008 and 2019. Receiver operator characteristic (ROC) curve was used to determine the optimal cut-off value AG and RDW. The associations between AG, RDW, and the combined effects of AG and effects were evaluated via univariable and multivariable Logistic models. Odds ratio (OR) with 95% confidence interval (CI) were imputed.ResultsAmong all the participants, 831 participants had AKI, and 1120 did not have AKI. ROC curves revealed that the optimum cut of points of AG and RDW were 12.75 mmol/L, and 13.65%, respectively. Increased risk of AKI was found in patients after cardiac surgery with AG > 12.75 mmol/L (OR = 1.44, 95%CI 1.15–1.80) or RDW > 13.65% group (OR = 1.23, 95%CI 1.01–1.50). In comparison to subjects with AG ≤ 12.75 mmol/L and RDW ≤ 13.65%, AG > 12.75 mmol/L and RDW ≤ 13.65% (OR = 1.42, 95%CI 1.07–1.89), and AG > 12.75 mmol/L and RDW > 13.65% (OR = 1.75, 95%CI 1.24–2.47) were associated with increased odds of AKI in patients after cardiac surgery.ConclusionsAG and RDW had combined effects on risk of AKI in patients after cardiac surgery, which might offer an insight for the management of patients after cardiac surgery.

Identifying timing and risk factors for early recurrence of resectable rectal cancer: A single center retrospective study.

Colorectal cancer is a common malignancy and various methods have been introduced to decrease the possibility of recurrence. Early recurrence (ER) is related to worse prognosis. To date, few observational studies have reported on the analysis of rectal cancer. Hence, we reported on the timing and risk factors for the ER of resectable rectal cancer at our institute. To analyze a cohort of patients with local and/or distant recurrence following the radical resection of the primary tumor. Data were retrospectively collected from the institutional database from March 2011 to January 2021. Clinicopathological data at diagnosis, perioperative and postoperative data, and first recurrence were collected and analyzed. ER was defined via receiver operating characteristic curve. Prognostic factors were evaluated using the Kaplan-Meier method and Cox proportional hazards modeling. We included 131 patients. The optimal cut off value of recurrence-free survival (RFS) to differentiate between ER (n = 55, 41.9%) and late recurrence (LR) (n = 76, 58.1%) was 8 mo. The median post-recurrence survival (PRS) of ER and LR was 1.4 mo and 2.9 mo, respectively (P = 0.008) but PRS was not strongly associated with RFS (R² = 0.04). Risk factors included age ≥ 70 years [hazard ratio (HR) = 1.752, P = 0.047], preoperative concurrent chemoradiotherapy (HR = 3.683, P < 0.001), colostomy creation (HR = 2.221, P = 0.036), and length of stay > 9 d (HR = 0.441, P = 0.006). RFS of 8 mo was the optimal cut-off value. Although ER was not associated with PRS, it was still related to prognosis; thus, intense surveillance is recommended.

A method for rapid assessment of visual ergonomics and lighting conditions (RAVEL): An in-depth development and psychometrics study.

In workplaces heavily reliant on visual tasks, various factors can significantly influence an individual's performance, necessitating the use of reliable tools to identify and mitigate these factors. This study aimed to develop a swift assessment method for visual ergonomics and lighting conditions, evaluating its validity in real-world scenarios. The questionnaire's content validity was determined by a panel of experts using the content validity ratio (CVR) and content validity index (CVI). Construct validity was assessed through exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and latent class analysis (LCA). Internal consistency was measured using Cronbach's alpha coefficient. The RAVEL index, derived from the calculated effect coefficients of items, classified total scores through receiver operator curves (ROCs). The rapid assessment method, comprising two parts with 30 items, demonstrated acceptable reliability with CVR, CVI, and Cronbach's alpha coefficient (α) at 0.75, 0.87, and 0.896, respectively. The EFA on the first part's 22 items identified three factors, confirmed by CFA. The LCA on the second part's eight items revealed that a two-class model best fit the data, with Bayesian information criterion (BIC) = 24249, 17, Akaik information criterion (AIC) = 2179.89, and an entropy R-squared of 0.83, indicating appropriate subject classification based on the model. The RAVEL score was categorized into three levels, with optimal cut points of 55 and 63. In conclusion, the study demonstrated that this method based on visual ergonomics serves as a rapid and reliable tool for assessing visual ergonomic risks of display users in the workplace.

Salient magnetic resonance imaging findings in the differential diagnosis of benign, borderline and malignant ovarian mucinous tumors.

In mucinous ovarian tumors, preoperative prediction of histological subgroup is important for treatment approach. Therefore, we aimed to determine salient magnetic resonance imaging (MRI) findings and estimate optimal cut off values for quantitative features in differential diagnosis of benign, borderline and malignant mucinous ovarian tumors. Between January 2011 and December 2021, preoperative MRI scans of 50 patients with mucinous ovarian tumors (n = 54) were evaluated retrospectively. MRI findings [size, signal intensity, contrast pattern, features of loculation, wall, septa and mural nodule (MN), diffusion restriction] were investigated. There were benign, borderline, and malignant groups based on histopathological results. The relationship between radiological and histopathological results was analyzed by performing Kruskal Wallis test, Pearson's chi-squared test, receiver operating characteristic analysis. In our study, there were 54 mucinous ovarian tumors in 50 patients. Of 54, 33 were benign, 13 borderline and eight malignant tumors. In comparison of three groups, tumor size, number of loculation, number and frequency of MN were higher and apparent diffusion coefficient (ADC) value were lower in malignant group (p < 0.05). Septa thickness was lower with optimal cut off value of 2.45mm in benign group compared to borderline and malignant groups [sensitivity: 79%, specificity: 75%, AUC (Area under the curve): 0.861] (p < 0.05). T2-weighted (T2-w) signal intensity ratio (SIR) of MN was higher in borderline compared to malignant group, with a cut-off value of 3.9 (sensitivity: 85%, specificity: 83%, AUC: 0.943) (p < 0.05). Ascites was also significant in malignant group (p < 0.05). T2-w SIR of MN with a cut off value of 3.9 is beneficial for differential diagnosis. By awareness of some salient MRI findings (size, septa thickness, number of loculation, number and T2-w SIR of MN, ADC value and ascites), preoperative prediction of histological subgroup of mucinous tumors for appropriate treatment planning is possible.

Assessing the utility of the PC-PTSD-5 as a screening tool among a cancer survivor sample.

Hematopoietic stem cell transplantation (HCT) is an intensive and invasive procedure used in cancer treatment that can lead to posttraumatic stress disorder (PTSD) symptoms. These symptoms are frequently overlooked in oncology and general health care settings. The suitability and utility of the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) within the cancer population remains uncertain. This study aims to evaluate its performance as a brief (five-item) case-finding screening alternative to the longer (20-item) PTSD Checklist for DSM-5 (PCL-5) in survivors who received an HCT 1 to 5 years ago. A total of 817 cancer survivors completed the PC-PTSD-5 and PCL-5 during recruitment for a randomized clinical trial. Optimal cut scores for identifying probable PTSD and item performance were determined using indices correcting for chance and item response theory analyses. Of the HCT sample, 10.4% screened as positive for probable DSM-5 PTSD using the PCL-5. The PC-PTSD-5 exhibited strong internal consistency and significant associations with PCL-5 scores (total, r=.82; items, rs=.56-.61). A cutoff score of 2 provided optimal sensitivity for screening (κ[Se]=.95), whereas a cut score of 4 demonstrated the highest efficiency for detecting a probable DSM-5 PTSD diagnosis on the PCL-5 (κ[Eff]=.39). Item response theory analyses indicated that item 4 (numbing) of the PC-PTSD-5 yielded the most informative data, with other items potentially lacking incremental utility. Although not an instrument validation study, these findings offer efficient evidence for using the PC-PTSD-5 as a succinct screening tool among cancer survivors in a clinical context. ClinicalTrials.gov, NCT04058795, registered 8/16/2019.

Feline acute patient physiologic and laboratory evaluation scores and other prognostic factors in cats with first-time diabetic ketoacidosis.

Acute Patient Physiologic and Laboratory Evaluation (APPLE) scores have not been reported in cats with diabetic ketoacidosis (DKA). In cats with DKA, APPLE scores will be significantly higher in non-survivors compared with survivors and these scores will predict mortality. Sixty-eight cats with DKA. Retrospective study. The APPLE scores, blood glucose concentration (BG), venous pH, and ketone concentrations were compared between survivors and non-survivors. Simple logistic regression was used to determine if these variables predict the binary variable of survival or non-survival, and if they did, an empirical optimal cut point for mortality prediction was calculated. The APPLEfast and APPLEfull scores were significantly higher in non-survivors (30 cats; and , respectively) compared with survivors (38 cats; and ; P = .01 and P = .02, respectively). The APPLEfast (P = .03) but not the APPLEfull scores (P = .06) predicted mortality. For every 1 unit increase in the APPLEfast score, the odds of death increased by 1.08 (95% confidence interval [CI], 1.006-1.17; P = .03). Median BG was significantly higher in non-survivors (431 mg/dL; range, 260-832 mg/dL) compared with survivors (343 mg/dL; range, 256-738 mg/dL; P = .01) and BG predicted mortality (P = .02). For every 1 mg/dL increase in BG, the odds of death increased by 1.004 (95% CI, 1.0006-1.008). Empirical optimal cut points for APPLEfast and BG mortality prediction were 24.5 and 358 mg/dL, respectively. The APPLEfast score and BG predict mortality in cats with DKA and can be used to stratify populations by risk of mortality in clinical trials of DKA in cats.

Incremental prognostic utility of congestion markers in cardiac transthyretin amyloidosis.

Congestion is prognostically relevant in cardiac transthyretin amyloidosis (ATTR-CA), but whether congestion has an incremental prognostic value beyond the well-established, congestion-sensitive NT-proBNP is unknown. Therefore, we aimed to comparatively evaluate the prognostic utility of several congestion surrogates over NT-proBNP. We estimated hazard ratios by Cox proportional hazards regressions with time-varying covariates from a panel data set of the local amyloidosiscohort study AmyKoS. Different models were compared by using chi(χ)2-statistics measuring overall model significance. 131 ATTR-CA patients (wild-type 84.0%, hereditary 6.9%, without genetic testing 9.2%; median age 78.7 (quartiles 73.3, 82.1) years; 85.5% male) with 566 observations across a median follow-up of 38.2 (30.6; 48.2) months were analyzed. 83.2% received disease-modifying treatment; 20.6% participated concurrently in placebo-controlled gene silencer trials. Information on congestion improved biomarker-driven risk stratification and identified patients at the highest risk. Echocardiographic congestion markers performed better than clinical findings and daily diuretic use/dosage. Relevant adjusters were daily diuretic dosage, disease-modifying treatment, eGFR, and right atrial volume. NT-proBNP and the tricuspid regurgitation peak velocity (tr-vmax) provided an easy-to-use stratification with overall model performance similar to NAC and Mayo staging systems. Further analyses are necessary for validation and to identify the optimal cut points of the congestion markers.

The picker routing problem in mixed-shelves, multi-block warehouses

Unlike conventional warehouses, where the inventory of an item is concentrated on a single shelf, the inventory in mixed-shelves warehouses is broken down into units and dispersed throughout the warehouse. As a result, the locations from where items are to be retrieved must be chosen when designing the picker tour. The rare research on the picker routing problem (PRP) in mixed-shelves warehouses focuses on (and heavily exploits the properties of) 1-block warehouses, which are warehouses with only two cross aisles. Here, we tackle the more general PRP in mixed-shelves, multi-block warehouses. To solve the problem, we propose a logic-based Benders decomposition method whereby the master problem selects the locations from where each item is retrieved and the subproblem designs the associated picker tour. We introduce tailored optimality cuts and prove their validity. In addition, we propose a set of various techniques to enhance the performance of the logic-based Benders decomposition, including a lower bounding function and valid inequalities. We show the efficiency and effectiveness of the proposed method through extensive computational experiments carried out on both standard instances from the literature (for the 1-block setting) and newly generated instances (for our case). We also leverage our algorithms to generate managerial insights into the benefits of multi-block layouts and mixed-shelves policies in warehousing.

Is conventional functional liver remnant volume higher than 40% still sufficient to prevent post-hepatectomy liver failure in jaundiced patients with hilar cholangiocarcinoma? A single-center experience in China.

Our study aims to evaluate the predictive accuracy of functional liver remnant volume (FLRV) in post-hepatectomy liver failure (PHLF) among surgically-treated jaundiced patients with hilar cholangiocarcinoma (HCCA). We retrospectively reviewed surgically-treated jaundiced patients with HCCA between June, 2000 and June, 2018. The correlation between FRLV and PHLF were analyzed. The optimal cut off value of FLRV in jaundiced HCCA patients was also identified and its impact was furtherly evaluated. A total of 224 jaundiced HCCA patients who received a standard curative resection (43 patients developed PHLF) were identified. Patients with PHLF shared more aggressive clinic-pathological features and were generally in a more advanced stage than those without PHLF. An obvious inconsistent distribution of FLRV in patients with PHLF and those without PHLF were detected. FLRV (continuous data) had a high predictive accuracy in PHLF. The newly-acquired cut off value (FLRV = 53.5%, sensitivity = 81.22%, specificity = 81.4%) showed a significantly higher predictive accuracy than conventional FLRV cut off value (AUC: 0.81 vs. 0.60, p < 0.05). Moreover, patients with FLRV lower than 53.5% also shared a significantly higher major morbidity rate as well as a worse prognosis, which were not detected for FLRV of 40%. For jaundiced patients with HCCA, a modified FLRV of 53.5% is recommended due to its great impact on PHLF, as well as its correlation with postoperative major morbidities as well as overall prognosis, which might help clinicians to stratify patients with different therapeutic regimes and outcomes. Future multi-center studies for training and validation are required for further validation.

Time estimation is associated with the levels of distress in patients prior to starting radiotherapy

Purpose or ObjectiveThe aim of this study was to explore the potential relationship between the time estimation and psychological distress in patients with solid tumors prior to starting radiotherapy. Materials and MethodsIn this multicenter study were included a total of 344 patients with solid tumors (197 with and 147 without metastatic disease). The time estimation was assessed by evaluating each subjects prospective estimation of how fast 1 min passed compared to the actual time. The median value (35sec) of subjective perception of time was used to group cases into two categories for experience of time. We used the National Comprehensive Cancer Network Distress Thermometer at the beginning of treatment to determine the levels of distress, where it measures distress on a scale from 0 to 10. Patients scoring 4 or above (73.5 %) were regarded as having high levels of distress. ResultsThe time estimation distributions significantly changed according to the level of distress. ROC analysis revealed that at the optimal cut off value of time estimation, patients with low and high distress levels can be discriminated with an AUC = 0.80 (95 % CI: 0.75– 0.85, p < 0.001) and with a sensitivity of 77.8 % and specificity of 73.3 %. In a multivariate logistic regression model, fast time estimation was an independent predictor of high levels of distress (OR 0.136; 95 % CI, 0.072–––0.256, p < 0.001). ConclusionTime estimation is a novel potent indicator of high levels of distress in cancer patients prior starting of radiotherapy.

Diagnostic Accuracy of Mental Health Screening Tools After Mild Traumatic Brain Injury.

Mental health disorders are common after mild traumatic brain injury (mTBI) and likely exacerbate postconcussive symptoms and disability. Early detection could improve clinical outcomes, but the accuracy of mental health screening tools in this population has not been well established. To determine the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9), Generalizaed Anxiety Disorder-7 (GAD-7), and Primary Care PTSD (Posttramatic Stress Disorder) Screen for Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) (PC-PTSD-5) in adults with mTBI. This diagnostic study was performed as a secondary analysis of a cluster randomized clinical trial. Self-report mental health screening tools (PHQ-9, GAD-7, and PC-PTSD-5) were administered online 12 weeks after mTBI and compared against a structured psychodiagnostic interview (Mini-International Neuropsychiatric Interview for DSM-5 (MINI) over videoconference at the same time. Adults with mTBI (N = 537) were recruited from February 1, 2021, to October 25, 2022. Presence of a major depressive episode, anxiety disorders, and PTSD were determined by a blinded assessor with the MINI. Diagnostic accuracy statistics were derived for the PHQ-9, GAD-7, and PC-PTSD-5. Findings were disaggregated for participants with and without persistent postconcussion symptoms (PPCS) by International and Statistical Classification of Diseases, Tenth Revision criteria. Data were available for 499 of 537 trial participants, 278 (55.7%) of whom were female; the mean (SD) age was 38.8 (13.9) years. Each screening questionnaire had strong diagnostic accuracy in the overall sample for optimal cut points (area under the curve [AUC], ≥0.80; sensitivity, 0.55-0.94; specificity, 0.64-0.94). The AUC (difference of 0.01-0.13) and specificity (difference, 5-65 percentage points) were lower in those with PPCS present compared with PPCS absent, but the prevalence of at least 1 mental health disorder was 3 to 5 times higher in patients with PPCS present. The GAD-7 had slightly better performance than the PC-PTSD-5 for detecting PTSD (AUC, 0.85 [95% CI, 0.80-0.89] vs 0.80 [95% CI, 0.72-0.87]). The optimal cutoff on the PHQ-9 was 5 or more symptoms experienced on more than half of days; on the GAD-7, a total score of at least 7. The findings of this diagnostic study suggest that the PHQ-9, GAD-7 and PC-PTSD-5 accurately screen for mental health disorders in patients with mTBI. Future research should corroborate optimal test cutoffs for this population.

Research on Rock-Breaking Characteristics of Cutters and Matching of Cutter Spacing and Penetration for Tunnel Boring Machine

Tunnel boring machine (TBM) tunnel construction in composite strata relies heavily on understanding the rock-breaking characteristics of TBM cutters and optimizing cutter spacing and penetration. Utilizing a full-scale rock rotary cutting machine (RCM), this study conducted rock-breaking tests with disc cutters under varying rolling radii. An analysis of rock debris shape and cutter behavior provided insights into rock-breaking mechanisms. Two main types of rock fragments were identified, with both shear and compression failure observed during cutter–rock interactions. The influence of the rolling radius and cutter spacing on cutter forces was analyzed, along with numerical modeling using the particle flow method. Optimal cutter selection in soft–hard composite strata should prioritize cutter force, with the greatest force required in hard rock. Cutter force increases with penetration, while the force difference between cutters decreases with reduced cutter spacing. These findings offer practical guidance for efficient rock-breaking in composite geological formations during tunnel construction.