Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma

In this study, we present a deep-learning-based multimodal classification method for lymphoma diagnosis in digital pathology, which utilizes a whole slide image (WSI) as the primary image data and flow cytometry (FCM) data as auxiliary information. In pathological diagnosis of malignant lymphoma, FCM serves as valuable auxiliary information during the diagnosis process, offering useful insights into predicting the major class (superclass) of subtypes. By incorporating both images and FCM data into the classification process, we can develop a method that mimics the diagnostic process of pathologists, enhancing the explainability. In order to incorporate the hierarchical structure between superclasses and their subclasses, the proposed method utilizes a network structure that effectively combines the mixture of experts (MoE) and multiple instance learning (MIL) techniques, where MIL is widely recognized for its effectiveness in handling WSIs in digital pathology. The MoE network in the proposed method consists of a gating network for superclass classification and multiple expert networks for (sub)class classification, specialized for each superclass. To evaluate the effectiveness of our method, we conducted experiments involving a six-class classification task using 600 lymphoma cases. The proposed method achieved a classification accuracy of 72.3%, surpassing the 69.5% obtained through the straightforward combination of FCM and images, as well as the 70.2% achieved by the method using only images. Moreover, the combination of multiple weights in the MoE and MIL allows for the visualization of specific cellular and tumor regions, resulting in a highly explanatory model that cannot be attained with conventional methods. It is anticipated that by targeting a larger number of classes and increasing the number of expert networks, the proposed method could be effectively applied to the real problem of lymphoma diagnosis.

Evaluation of deficient nutrients in infants and toddlers mainly taking amino acid-based elemental formulas: An exploratory study

INTRODUCTION

This study evaluated nutrient deficiencies in infants and toddlers with inflammatory bowel disease (IBD) and eosinophilic gastrointestinal disorders (EGID), whose primary nutritional source is elemental formulas (EFs).

METHODS

The nutrient status of children with IBD and EGID aged 6 months to 6 years was evaluated.

RESULTS

Twenty-one children fed with EFs (EF group) and 25 controls (CL group) were enrolled. The selenium level in the EF group was lower than that in the CL group (2.2 µg/dL vs. 9.3 µg/dL; p<0.01). Although fat-soluble vitamins were deficient in some EF group participants, no significant differences were observed in their concentration and insufficiency proportion. However, ascorbic acid deficiency was more frequent in the EF group, with significantly lower levels (8.6 µg/mL vs. 12.0 µg/mL; p<0.01). The triene:tetraene ratio was significantly higher in the EF group (0.046 vs. 0.010; p<0.01). Asparagine and taurine levels were significantly lower in the EF group (asparagine: p<0.01; taurine: p<0.01) and tyrosine and phenylalanine levels were higher in the EF group, resulting in a lower Fisher's ratio (p<0.01).

CONCLUSION

Long-term feeding with EFs can cause deficiencies in essential fatty acids, selenium, and ascorbic acid and also carries a risk of amino acid imbalance in infants and toddlers.

Clinical characteristics of aneurysmal subarachnoid haemorrhage complicated by Takotsubo cardiomyopathy resulting in good neurological outcome

BACKGROUND

Takotsubo cardiomyopathy (TC) is a well-known complication of subarachnoid haemorrhage (SAH), often accompanied by neurogenic myocardial dysfunction. Although TC has been reported to be associated with higher morbidity and mortality among patients with aneurysmal SAH (aSAH), some patients have been reported to recover, the profiles and follow-up outcomes of these survivors remain unclear.

MATERIALS AND METHODS

To characterize the profiles of patients with aSAH complicated by TC who experienced favourable outcomes using long-term follow-up data, a consecutive series of patients with aSAH were enrolled and TC diagnosis was based on the revised version of the Mayo Clinic criteria. Clinical outcomes were assessed at 6 months according to modified Rankin Scale scores.

RESULTS

Among 165 consecutive patients with aSAH, 15 cases were complicated by TC, corresponding to an occurrence rate of 9.0%. Five patients with aSAH complicated by TC (33.3%) experienced a favourable outcome, and the mean value of systolic blood pressure on arrival was significantly lower than in those who experienced an unfavourable outcome (p = 0.032).

CONCLUSION

According to analysis, it is possible cardiac dysfunction with decreased cerebral perfusion pressure and catecholamine toxicity transiently worsens conscious disturbance in aSAH complicated by TC. Therefore, it is important to carefully screen patients with aSAH to identify those complicated by TC, and for close collaboration of the multidisciplinary team to design appropriate treatment strategies.

Transcriptome analysis reveals limited toxic effects of the UV-filter benzophenone-3 (BP-3) on the hermatypic coral Acropora tenuis and its symbiotic dinoflagellates

This study aimed to investigate the toxic and transcriptomic effects of the ultraviolet filter benzophenone-3 (BP-3) on Acropora tenuis and its symbiotic dinoflagellates while using acetone as a solvent. Seven-day exposure to 50 and 500 μg/L, which is higher than most BP-3 records from coastal waters, did not affect coral colour or dinoflagellate photosynthesis. Differentially expressed genes (DEGs) between seawater and solvent controls were <20 in both corals and dinoflagellates. Eleven coral DEGs were detected after treatment with 50 μg/L BP-3. Fourteen coral DEGs, including several fluorescent protein genes, were detected after treatment with 500 μg/L BP-3. In contrast, no dinoflagellate DEGs were detected in the BP-3 treatment group. These results suggest that the effects of 50-500 μg/L BP-3 on adult A. tenuis and its dinoflagellates are limited. Our experimental methods with lower acetone toxicity provide a basis for establishing standard ecotoxicity tests for corals.

Prophylactic distal perfusion catheter and survival in patients with out-of-hospital cardiac arrest: Secondary analysis of the SAVE-J II study

PURPOSE

The effect of a prophylactic distal perfusion catheter (DPC) after extracorporeal cardiopulmonary resuscitation (ECPR) in patients with out-of-hospital cardiac arrest (OHCA) remains unclear. Therefore, we aimed to clarify the association between prophylactic DPC and prognosis in patients with OHCA undergoing ECPR.

MATERIALS AND METHODS

A secondary analysis of the Study of Advanced Life Support for Ventricular Fibrillation with Extracorporeal Circulation in Japan (SAVE-J II) database was performed to compare groups of patients with and without prophylactic DPCs. A multivariate analysis of survival at discharge was performed using factors that were significant in the two-arm comparison.

RESULTS

A total of 2044 patients were included in the analysis after excluding those who met the exclusion criteria. Survival at discharge was observed in 548 (26.9%) patients. In total, 100 (4.9%) patients developed limb ischemia, among whom 14 (0.7%) required therapeutic intervention. Multivariate analysis showed that prophylactic DPC did not result in a significant difference in survival at discharge (odds ratio: 0.898 [0.652-1.236], p = 0.509).

CONCLUSIONS

The implementation of prophylactic DPC after ECPR for patients with OHCA may not contribute to survival at discharge.

Laparoscopy for emergency abdominal surgery is associated with reduced physical functional decline in older patients: a cohort study

BACKGROUND

An increasing number of older patients require emergency abdominal surgery for acute abdomen. They are susceptible to surgical stress and lose their independence in performing daily activities. Laparoscopic surgery is associated with faster recovery, less postoperative pain, and shorter hospital stay. However, few studies have examined the relationship between laparoscopic surgery and physical functional decline. Thus, we aimed to examine the relationship between changes in physical function and the surgical procedure.

METHODS

In this was a single-center, retrospective cohort study, we enrolled patients who were aged ≥ 65 years and underwent emergency abdominal surgery for acute abdomen between January 1, 2019, and December 31, 2021. We assessed their activities of daily living using the Barthel Index. Functional decline was defined as a decrease of ≥ 20 points in Barthel Index at 28 days postoperatively, compared with the preoperative value. We evaluated an association between functional decline and surgical procedures among older patients, using multiple logistic regression analysis.

RESULTS

During the study period, 852 patients underwent emergency abdominal surgery. Among these, 280 patients were eligible for the analysis. Among them, 94 underwent laparoscopic surgery, while 186 underwent open surgery. Patients who underwent laparoscopic surgery showed a less functional decline at 28 days postoperatively (6 vs. 49, p < 0.001). After adjustments for other covariates, laparoscopic surgery was an independent preventive factor for postoperative functional decline (OR, 0.22; 95% CI, 0.05-0.83; p < 0.05).

CONCLUSIONS

In emergency abdominal surgery, laparoscopic surgery reduces postoperative physical functional decline in older patients. Widespread use of laparoscopic surgery can potentially preserve patient quality of life and may be important for the better development of emergency abdominal surgery.

The Detection of Neoplastic Cells Using Objective Cytomorphologic Parameters in Malignant Lymphoma

Pathologic evaluation is the most crucial method for diagnosing malignant lymphomas. However, there are no established diagnostic criteria for evaluating pathologic morphology. We manually circled cell nuclei in the lesions of 10 patients with diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, and reactive lymphadenitis. Seventeen parameters related to nuclear shape, color, and other characteristics were measured. We attempted to compare the statistical differences between these subtypes and extract distinctive disease-specific populations on the basis of these parameters. Statistically significant differences were observed between the different types of lymphoma for many of the 17 parameters. Through t-distributed stochastic neighbor embedding analysis, we extracted a cluster of cells that showed distinctive features of DLBCL and were not found in follicular lymphoma or reactive lymphadenitis. We created a decision tree to identify the characteristics of the cells within that cluster. Based on a 5-fold cross-validation study, the average sensitivity, specificity, and accuracy obtained were 84.1%, 98.4%, and 97.3%, respectively. A similar result was achieved using a validation experiment. Important parameters that indicate the features of DLBCL include Area, ConcaveCount, MaxGray, and ModeGray. By quantifying pathologic morphology, it was possible to objectively represent the cell morphology specific to each lymphoma subtype using quantitative indicators. The quantified morphologic information has the potential to serve as a reproducible and flexible diagnostic tool.

Congenital anaemia associated with loss-of-function variants in DNA polymerase epsilon 1

DNA polymerase epsilon (Pol ε), a component of the core replisome, is involved in DNA replication. Although genetic defects of Pol ε have been reported to cause immunodeficiency syndromes, its role in haematopoiesis remains unknown. Here, we identified compound heterozygous variants (p.[Asp1131fs];[Thr1891del]) in POLE, encoding Pol ε catalytic subunit A (POLE1), in siblings with a syndromic form of severe congenital transfusion-dependent anaemia. In contrast to Diamond-Blackfan anaemia, marked reticulocytopenia or marked erythroid hypoplasia was not found. Their bone marrow aspirates during infancy revealed erythroid dysplasia with strongly positive TP53 in immunostaining. Repetitive examinations demonstrated trilineage myelodysplasia within 2 years from birth. They had short stature and facial dysmorphism. HEK293 cell-based expression experiments and analyses of patient-derived induced pluripotent stem cells (iPSCs) disclosed a reduced mRNA level of Asp1131fs-POLE1 and defective nuclear translocation of Thr1891del-POLE1. Analysis of iPSCs showed compensatory mRNA upregulation of the other replisome components and increase of the TP53 protein, both suggesting dysfunction of the replisome. We created Pole-knockout medaka fish and found that heterozygous fishes were viable, but with decreased RBCs. Our observations expand the phenotypic spectrum of the Pol ε defect in humans, additionally providing unique evidence linking Pol ε to haematopoiesis.

Human germline gain-of-function in STAT6: from severe allergic disease to lymphoma and beyond

Signal transducer and activator of transcription (STAT)-6 is a transcription factor central to pro-allergic immune responses, although the function of human STAT6 at the whole-organism level has long remained unknown. Germline heterozygous gain-of-function (GOF) rare variants in STAT6 have been recently recognized to cause a broad and severe clinical phenotype of early-onset, multi-system allergic disease. Here, we provide an overview of the clinical presentation of STAT6-GOF disease, discussing how dysregulation of the STAT6 pathway causes severe allergic disease, and identifying possible targeted treatment approaches. Finally, we explore the mechanistic overlap between STAT6-GOF disease and other monogenic atopic disorders, and how this group of inborn errors of immunity (IEIs) powerfully inform our fundamental understanding of common human allergic disease.

Novel nanocomposite-superlattices for low energy and high stability nanoscale phase-change memory

Data-centric applications are pushing the limits of energy-efficiency in today's computing systems, including those based on phase-change memory (PCM). This technology must achieve low-power and stable operation at nanoscale dimensions to succeed in high-density memory arrays. Here we use a novel combination of phase-change material superlattices and nanocomposites (based on Ge4Sb6Te7), to achieve record-low power density ≈ 5 MW/cm2 and ≈ 0.7 V switching voltage (compatible with modern logic processors) in PCM devices with the smallest dimensions to date (≈ 40 nm) for a superlattice technology on a CMOS-compatible substrate. These devices also simultaneously exhibit low resistance drift with 8 resistance states, good endurance (≈ 2 × 108 cycles), and fast switching (≈ 40 ns). The efficient switching is enabled by strong heat confinement within the superlattice materials and the nanoscale device dimensions. The microstructural properties of the Ge4Sb6Te7 nanocomposite and its high crystallization temperature ensure the fast-switching speed and stability in our superlattice PCM devices. These results re-establish PCM technology as one of the frontrunners for energy-efficient data storage and computing.

Freeform direct-write and rewritable photonic integrated circuits in phase-change thin films

Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities promise revolutionary impacts on a plethora of photonic technologies. We report direct-write and rewritable photonic circuits on a low-loss phase-change material (PCM) thin film. Complete end-to-end PICs are directly laser-written in one step without additional fabrication processes, and any part of the circuit can be erased and rewritten, facilitating rapid design modification. We demonstrate the versatility of this technique for diverse applications, including an optical interconnect fabric for reconfigurable networking, a photonic crossbar array for optical computing, and a tunable optical filter for optical signal processing. By combining the programmability of the direct laser writing technique with PCM, our technique unlocks opportunities for programmable photonic networking, computing, and signal processing. Moreover, the rewritable photonic circuits enable rapid prototyping and testing in a convenient and cost-efficient manner, eliminate the need for nanofabrication facilities, and thus promote the proliferation of photonics research and education to a broader community.

The Examination of Prognostic Factors and Treatment Strategies for Traumatic Cerebrospinal Fluid Leakage

Introduction This study aimed to determine the optimal timing for surgical intervention and the prognostic factors of cerebrospinal fluid (CSF) leakage. Methods We identified 25 patients with probable CSF leaks from 472 consecutive patients with head trauma. In addition to baseline characteristics and findings on admission, injury severity score (ISS), abbreviated injury score (AIS), and other factors related to CSF leakage were considered. We analyzed the prognostic factors after setting the primary endpoint as the modified Rankin Scale (mRS) at the time of discharge to determine the appropriate timing for surgical intervention. Results Univariate analysis revealed significantly poorer prognoses for elderly patients (p<0.001) and cases with low Glasgow Coma Scale (GCS) levels (p=0.039) and high D-dimer levels (p=0.028), which was consistent with findings from the analyses of all patients with head trauma. We found that multiple traumas (AIS≥3 at two or more sites, p=0.047) and high lactate levels (p=0.043) were poor prognostic factors specific to CSF leakage cases, while a longer time to CSF leakage cessation was also associated with a poorer prognosis (median, six days versus 13 days, p=0.014). An evaluation of the time to closure found that spontaneous cessation occurred within 14 days in most cases. Conclusions Conservative medical treatment is the first choice for most cases of traumatic CSF leakage. Surgical intervention should be considered if leakage does not cease after 14 days post injury. Furthermore, severe multiple injuries and high lactate levels were poor prognostic factors specific to patients with CSF leakage.

Usefulness of the Yokohama Advanced Cardiopulmonary Help Team in patients with acute respiratory distress syndrome

Aim

To evaluate whether establishing an extracorporeal membrane oxygenation (ECMO) specialist team, termed the Yokohama Advanced Cardiopulmonary Help Team (YACHT), affected the outcomes and centralization of patients requiring ECMO in Yokohama-Yokosuka regions.

Methods

This retrospective observational study included patients aged ≥18 years and treated with venovenous-ECMO for severe acute respiratory distress syndrome (ARDS) from 2014 to 2023. The primary outcome was intensive care unit (ICU) mortality. The secondary outcomes included ICU-, mechanical ventilator-, and ECMO-free days and complications during the first 28 days.

Results

This study included 46 (12 without- and 34 with-YACHT) patients. Among with-YACHT patients, 24 were transferred to our hospital from other hospitals, 14 were assessed by dispatched ECMO physicians, and 9 were transferred after ECMO introduction. No without-YACHT patients were transferred from other hospitals. With-YACHT patients experienced coronavirus disease 2019-associated respiratory failure more frequently (0 vs. 27, p < 0.001) and had higher Acute Physiology and Chronic Health Evaluation II scores (19 vs. 24, p = 0.037) and lower Respiratory Extracorporeal Membrane Oxygenation Survival Prediction scores (4 vs. 2, p = 0.021). ICU mortality was not significantly different between the groups (2 vs. 4, p = 0.67). ICU- (14 vs. 9, p = 0.10), ventilator- (11 vs. 5, p = 0.01), and ECMO-free days (20 vs. 14, p = 0.038) were higher before YACHT establishment. The incidences of complications were not significantly different between the groups.

Conclusions

Mortality was not significantly different pre- and post-YACHT establishment; however, it helped promote regionalization and centralization in Yokohama-Yokosuka areas. We will collect more cases to demonstrate YACHT's usefulness.

Appropriate Endotracheal Tube Position for Percutaneous Dilatational Tracheostomy: A Single-Center Observational Study

Aim This study aimed to investigate the appropriate endotracheal tube (ETT) position during percutaneous dilatational tracheostomy (PDT). Methods This single-center observational study included hospitalized patients who underwent surgical tracheostomy (ST) between August 2021 and October 2022. During ST, the trachea was opened, and the ETT was pulled out visually. It stopped when the ETT was no longer visible, and the tracheostomy tube was placed in the trachea. The ETT position was measured by considering the ETT position during ST to be the appropriate position during PDT. The correlation between the measured ETT position and patient characteristics was evaluated. A prediction equation for the ETT position was derived from the derivation group, and validation of the prediction equation was evaluated by the validation group. Results Forty-six and 15 patients were in the derivation and validation groups, respectively. Weight, duration of intubation, and in-hospital mortality were significantly different between the two groups. The measured ETT position correlated with body height (r=0.60, p<0.001) and sex (r=0.45, p=0.002), while the ETT position before ST showed a weak correlation (r=0.34, p=0.020). The predicted and measured values in the validation group correlated with each other (r=0.58, p=0.024). Conclusion The appropriate ETT position for PDT correlates with body height, and the equation "body height×0.112-0.323 cm" was derived. This predictive equation may be useful as a guide for ETT positioning during PDT puncture.

Out-of-hospital cardiac arrest patients during the coronavirus disease 2019 pandemic

The coronavirus disease 2019 (COVID-19) pandemic had severe impact on the outcome of out-of-hospital cardiac arrest (OHCA) patients and the possibility of bystander cardiopulmonary resuscitation (CPR). Previous studies focused only on the short periods of the pandemic and reported a significant increase in the number of infections. In a retrospective cohort study we aimed to compare the outcomes of OHCA patients 1 year before and 1 year after the onset of COVID-19. Data of 519 OHCA patients during the pre-pandemic (January-December 2019; 262 patients) and intra-pandemic (April 2020-March 2021; 257 patients) periods in Yokohama Municipal Hospital, Japan were collected and analysed retrospectively. The study outcomes were the return of spontaneous circulation (ROSC), admission to hospital, survival to discharge, and cerebral performance category at discharge. The intra-pandemic period was associated with decreased bystander CPR (P = 0.004), prolonged transport time (P < 0.001), delayed first adrenaline administration (P < 0.001), and decrease in ROSC (P = 0.023). Logistic regression analysis revealed that the following factors were significantly associated with ROSC: "pandemic", "shockable initial waveform", and "witness presence".

Combining blood glucose and SpO2/FiO2 ratio facilitates prediction of imminent ventilatory needs in emergency room COVID-19 patients

The increasing requirement of mechanical ventilation (MV) due to the novel coronavirus disease (COVID-19) is still a global threat. The aim of this study is to identify markers that can easily stratify the impending use of MV in the emergency room (ER). A total of 106 patients with COVID-19 requiring oxygen support were enrolled. Fifty-nine patients were provided MV 0.5 h (interquartile range: 0.3 to 1.4) post-admission. Clinical and laboratory data before intubation were collected. Using a multivariate logistic regression model, we identified four markers associated with the impending use of MV, including the ratio of peripheral blood oxygen saturation to fraction of inspired oxygen (SpO2/FiO2 ratio), alanine aminotransferase, blood glucose (BG), and lymphocyte counts. Among these markers, SpO2/FiO2 ratio and BG, which can be measured easily and immediately, showed higher accuracy (AUC: 0.88) than SpO2/FiO2 ratio alone (AUC: 0.84), despite no significant difference (DeLong test: P = 0.591). Moreover, even in patients without severe respiratory failure (SpO2/FiO2 ratio > 300), BG (> 138 mg/dL) was predictive of MV use. Measuring BG and SpO2/FiO2 ratio may be a simple and versatile new strategy to accurately identify ER patients with COVID-19 at high risk for the imminent need of MV.

Efficient model selection for predictive pattern mining model by safe pattern pruning

Predictive pattern mining is an approach used to construct prediction models when the input is represented by structured data, such as sets, graphs, and sequences. The main idea behind predictive pattern mining is to build a prediction model by considering unified inconsistent notation sub-structures, such as subsets, subgraphs, and subsequences (referred to as patterns), present in the structured data as features of the model. The primary challenge in predictive pattern mining lies in the exponential growth of the number of patterns with the complexity of the structured data. In this study, we propose the safe pattern pruning method to address the explosion of pattern numbers in predictive pattern mining. We also discuss how it can be effectively employed throughout the entire model building process in practical data analysis. To demonstrate the effectiveness of the proposed method, we conduct numerical experiments on regression and classification problems involving sets, graphs, and sequences.

Attenuated Expression of SLCO2A1 Caused by DNA Methylation in Pediatric Inflammatory Bowel Disease

BACKGROUND

SLCO2A1 encodes a prostaglandin (PG) transporter, and autosomal recessive pathogenic variants of this gene cause chronic enteropathy associated with SLCO2A1. It is unclear whether a heterozygous pathogenic variant of SLCO2A1 has a role in the pathogenesis of other types of inflammatory bowel disease (IBD). In this study, we investigated the possible involvement of a local epigenetic alteration in SLCO2A1 in patients with a heterozygous pathogenic variant.

METHODS

We conducted whole-exome sequencing of samples from 2 sisters with suspected monogenic IBD. In addition, we performed bisulfite sequencing using DNA extracted from their small and large intestine samples to explore epigenetic alterations.

RESULTS

A heterozygous splicing site variant, SLCO2A1:c.940 + 1G > A, was detected in both patients. To explore the possible involvement of epigenetic alterations, we analyzed protein and messenger RNA expression of SLCO2A1, and observed attenuated SLCO2A1 expression in the inflamed lesions of these patients compared with that in the control individuals. Furthermore, bisulfite sequencing indicated dense methylation in the promoter region of SLCO2A1 only in the inflamed lesions of both patients. The urinary PG metabolite levels in these patients were comparable to those in patients with chronic enteropathy associated with SLCO2A1 and higher than those in the control individuals. We found considerably higher levels of the metabolites in patient 1, who showed more severe symptoms than patient 2.

CONCLUSIONS

Local DNA methylation attenuated SLCO2A1 expression, which may evoke local inflammation of the mucosa by the unincorporated PG. These findings may improve our understanding of the epigenetic mechanisms underlying IBD development.

Effectiveness of call system implementation for postpartum hemorrhage in a tertiary emergency medical center: a retrospective cohort study

BACKGROUND

Postpartum hemorrhage is the leading cause of maternal death and severe maternal morbidity worldwide. Previous studies have reported the importance of multidisciplinary treatment approaches for postpartum hemorrhage; however, only a few studies have shown a clear improvement in maternal outcomes. Therefore, this study aimed to investigate the efficacy of a call system for postpartum hemorrhage in a tertiary emergency facility for rapid multidisciplinary treatment and its effect on maternal outcomes.

METHODS

This single-center retrospective cohort study included patients transferred to our hospital due to postpartum hemorrhage between April 1, 2013, and March 31, 2019. The primary outcome was mortality, and the secondary outcomes were morbidity (duration of hospital stay, duration of intensive care unit stay, admission to the intensive care unit, respirator use, duration of ventilator support, acute kidney injury, transfusion-associated circulatory overload/transfusion-related acute lung injury, hysterectomy, composite adverse events, blood transfusion initiation time, blood transfusion volume, and treatment for postpartum hemorrhage). An in-hospital call system implementation commenced on April 1, 2016. The study outcomes were compared 3 years before and after implementing the call system.

RESULTS

The blood transfusion initiation time and duration of hospital stay were significantly shortened after implementing the call system for postpartum hemorrhage. No maternal deaths were observed after implementing the system.

CONCLUSIONS

Implementing call systems specialized for postpartum hemorrhage in tertiary emergency facilities may improve maternal outcomes.

Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications

In this study, we have developed an incremental machine learning (ML) method that efficiently obtains the optimal model when a small number of instances or features are added or removed. This problem holds practical importance in model selection, such as cross-validation (CV) and feature selection. Among the class of ML methods known as linear estimators, there exists an efficient model update framework, the low-rank update, that can effectively handle changes in a small number of rows and columns within the data matrix. However, for ML methods beyond linear estimators, there is currently no comprehensive framework available to obtain knowledge about the updated solution within a specific computational complexity. In light of this, our study introduces a the generalized low-rank update (GLRU) method, which extends the low-rank update framework of linear estimators to ML methods formulated as a certain class of regularized empirical risk minimization, including commonly used methods such as support vector machines and logistic regression. The proposed GLRU method not only expands the range of its applicability but also provides information about the updated solutions with a computational complexity proportional to the number of data set changes. To demonstrate the effectiveness of the GLRU method, we conduct experiments showcasing its efficiency in performing cross-validation and feature selection compared to other baseline methods.

Clinical Usefulness of Echocardiographic Measurement of Proximal Aortic Diameter in Early Differentiation Between Type A Acute Aortic Dissection and ST-Segment-Elevation Myocardial Infarction

Background Contradictions between management modalities of type A acute aortic dissection (TAAAD) and ST-elevation-myocardial infarction (STEMI) may result in clinical catastrophe. Therefore, we aimed to explore which 2-dimensional echocardiography (2DE) findings are optimal for differentiating TAAAD from STEMI. Methods and Results This study included 340 patients with STEMI and 340 patients with TAAAD who underwent 2DE in the emergency department between 2012 and 2021. The proximal ascending aorta (PAA) diameter and other echocardiographic parameters were analyzed. PAA diameters were measured at 4 levels in the parasternal view: Valsalva, the sinotubular junction (STJ), the PAA at 1 cm above the STJ, and the PAA at 2 cm above the STJ. Receiver-operating characteristic curve analysis showed that Valsalva, STJ, PAA at 1 cm above the STJ, and PAA at 2 cm above the STJ were significant predictors of TAAAD (areas under the curve: 0.777, 0.924, 0.965, and 0.975, respectively; P<0.001) with the respective cutoff values of 39.4, 38.5, 39.8, and 41.2 mm. Multivariable analysis suggested that all 2DE parameters were significant predictors of TAAAD. Among the 2DE parameters examined, the incorporation of PAA at 2 cm above the STJ to clinical indicators exhibited the most significant diagnostic capability (C-statistics, 0.97; net reclassification improvement, 1.81; integrated discrimination improvement, 0.61). When only TAAAD with coronary malperfusion and STEMI were analyzed, the diagnostic utility of PAA at 1 cm above the STJ was evident (C-statistics, 0.99; net reclassification improvement, 1.79; integrated discrimination improvement, 0.67), with PAA at 2 cm above the STJ ranking second in diagnostic significance (C-statistics, 0.99; net reclassification improvement, 1.12; integrated discrimination improvement, 0.66). Conclusions PAA measurements were the most beneficial for diagnosing TAAAD in all 2DE findings and TAAAD from STEMI.

Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study

Accurate tumor identification during surgical excision is necessary for neurosurgeons to determine the extent of resection without damaging the surrounding tissues. No conventional technologies have achieved reliable performance for pituitary adenomas. This study proposes a deep learning approach using intraoperative endoscopic images to discriminate pituitary adenomas from non-tumorous tissue inside the sella turcica. Static images were extracted from 50 intraoperative videos of patients with pituitary adenomas. All patients underwent endoscopic transsphenoidal surgery with a 4 K ultrahigh-definition endoscope. The tumor and non-tumorous tissue within the sella turcica were delineated on static images. Using intraoperative images, we developed and validated deep learning models to identify tumorous tissue. Model performance was evaluated using a fivefold per-patient methodology. As a proof-of-concept, the model's predictions were pathologically cross-referenced with a medical professional's diagnosis using the intraoperative images of a prospectively enrolled patient. In total, 605 static images were obtained. Among the cropped 117,223 patches, 58,088 were labeled as tumors, while the remaining 59,135 were labeled as non-tumorous tissues. The evaluation of the image dataset revealed that the wide-ResNet model had the highest accuracy of 0.768, with an F1 score of 0.766. A preliminary evaluation on one patient indicated alignment between the ground truth set by neurosurgeons, the model's predictions, and histopathological findings. Our deep learning algorithm has a positive tumor discrimination performance in intraoperative 4-K endoscopic images in patients with pituitary adenomas.

Drawing a materials map with an autoencoder for lithium ionic conductors

Efforts to optimize known materials and enhance their performance are ongoing, driven by the advancements resulting from the discovery of novel functional materials. Traditionally, the search for and optimization of functional materials has relied on the experience and intuition of specialized researchers. However, materials informatics (MI), which integrates materials data and machine learning, has frequently been used to realize systematic and efficient materials exploration without depending on manual tasks. Nonetheless, the discovery of new materials using MI remains challenging. In this study, we propose a method for the discovery of materials outside the scope of existing databases by combining MI with the experience and intuition of researchers. Specifically, we designed a two-dimensional map that plots known materials data based on their composition and structure, facilitating researchers' intuitive search for new materials. The materials map was implemented using an autoencoder-based neural network. We focused on the conductivity of 708 lithium oxide materials and considered the correlation with migration energy (ME), an index of lithium-ion conductivity. The distribution of existing data reflected in the materials map can contribute to the development of new lithium-ion conductive materials by enhancing the experience and intuition of material researchers.

Impact of postoperative complications on long-term survival in bladder cancer patients

OBJECTIVE

To determine the impact of postoperative complications on long-term survival outcomes in patients with bladder cancer undergoing radical cystectomy.

METHODS

This retrospective multi-institutional study included 766 bladder cancer patients who underwent radical cystectomy between 2011 and 2017. Patient characteristics, perioperative outcomes, all complications within 90 days after surgery and survival outcomes were collected. Each complication was graded based on the Clavien-Dindo system, and grouped using a standardized grouping method. The Comprehensive Complication Index, which incorporates all complications into a single formula weighted by their severity, was utilized. Overall survival and recurrence-free survival (local, distant or urothelial recurrences) were stratified by Comprehensive Complication Index (high: ≥26.2; low: <26.2). A multivariate model was utilized to identify independent prognostic factors.

RESULTS

The incidence of any and major complications (≥Clavien-Dindo grade III) was 70 and 24%, respectively. In terms of Comprehensive Complication Index, 34% (261/766) of the patients had ≥26.2. Patients with Comprehensive Complication Index ≥ 26.2 had shorter overall survival (4-year, 59.5 vs. 69.8%, respectively, log-rank test, P = 0.0037) and recurrence free survival (51.9 vs. 60.1%, respectively, P = 0.0234), than those with Comprehensive Complication Index < 26.2. The Cox multivariate model identified the age, performance status, pT-stage, pN-stage and higher CCI (overall survival: HR = 1.35, P = 0.0174, recurrence-free survival: HR = 1.26, P = 0.0443) as independent predictors of both overall survivial and recurrence-free survival.

CONCLUSIONS

Postoperative complications assessed by Comprehensive Complication Index had adverse effects on long-term survival outcomes. Physicians should be aware that major postoperative complications can adversely affect long-term disease control.

Validation of the Conventional Trauma and Injury Severity Score and a Newly Developed Survival Predictive Model in Pediatric Patients with Blunt Trauma: A Nationwide Observation Study

To date, there is no clinically useful prediction model that is suitable for Japanese pediatric trauma patients. Herein, this study aimed to developed a model for predicting the survival of Japanese pediatric patients with blunt trauma and compare its validity with that of the conventional TRISS model. Patients registered in the Japan Trauma Data Bank were grouped into a derivation cohort (2009-2013) and validation cohort (2014-2018). Logistic regression analysis was performed using the derivation dataset to establish prediction models using age, injury severity, and physiology. The validity of the modified model was evaluated by the area under the receiver operating characteristic curve (AUC). Among 11 predictor models, Model 1 and Model 11 had the best performance (AUC = 0.980). The AUC of all models was lower in patients with survival probability Ps < 0.5 than in patients with Ps ≥ 0.5. The AUC of all models was lower in neonates/infants than in other age categories. Model 11 also had the best performance (AUC = 0.762 and 0.909, respectively) in patients with Ps < 0.5 and neonates/infants. The predictive ability of the newly modified models was not superior to that of the current TRISS model. Our results may be useful to develop a highly accurate prediction model based on the new predictive variables and cutoff values associated with the survival mortality of injured Japanese pediatric patients who are younger and more severely injured by using a nationwide dataset with fewer missing data and added valuables, which can be used to evaluate the age-related physiological and anatomical severity of injured patients.

Anxiety, Depression, and Quality of Life in Parents of Adolescents with Inflammatory Bowel Disease: A Longitudinal Study

Purpose

The parents of adolescents with inflammatory bowel disease may experience impaired mental health and quality of life. This longitudinal study aimed to verify whether the mental health and quality of life of the parents of adolescents with inflammatory bowel disease declined when their children had active disease.

Methods

Sociodemographic data, parental anxiety, depression, and quality of life were analyzed using validated questionnaires for each variable. After the baseline survey, the second and follow-up surveys were conducted at 3 and 12 months, respectively. The active disease group comprised eight parents whose children had active disease during the baseline and second surveys. The remission group comprised 14 parents whose children remained in remission during both surveys. The improved group comprised nine parents whose children experienced active disease at baseline and remission during the second survey. Parental mental health and quality of life were compared among the groups.

Results

Significantly higher levels of anxiety were observed in the active disease group in all surveys (p<0.050). Although depression levels and quality of life did not differ significantly among the three groups, pairing the active disease group with other groups showed some large effect sizes.

Conclusion

Parents tended to experience decreased mental health and quality of life when their adolescents experienced active inflammatory bowel disease. Consequently, our hypothesis was partially verified. Therefore, parents need support when their children have active disease; this finding highlights the need for parental support systems.

Expression analyses of stress-responsive genes in the hermatypic coral Acropora tenuis and its symbiotic dinoflagellates after exposure to the herbicide Diuron

Diuron is one of the most frequently applied herbicides in sugarcane farming in southern Japan, and Australia. In addition, it is used as a booster substance in copper-based antifouling paints. Due to these various uses, Diuron is released into the marine environment; however, little information is available on gene expression in corals and their symbiotic algae exposed to Diuron. We investigated the effects of Diuron on stress-responsive gene expression in the hermatypic coral Acropora tenuis and its symbiotic dinoflagellates. After seven days of exposure to 1 µg/L and 10 µg/L Diuron, no significant changes in the body colour of corals were observed. However, quantitative reverse transcription-polymerase chain reaction analyses revealed that the expression levels of stress-responsive genes, such as heat shock protein 90 (HSP90), HSP70, and calreticulin (CALR), were significantly downregulated in corals exposed to 10 µg/L of Diuron for seven days. Moreover, aquaglyceroporin was significantly downregulated in corals exposed to environmentally relevant concentrations of 1 µg/L Diuron. In contrast, no such effects were observed on the expression levels of other stress-responsive genes, such as oxidative stress-responsive proteins, methionine adenosyltransferase, and green/red fluorescent proteins. Diuron exposure had no significant effect on the expression levels of HSP90, HSP70, or HSP40 in the symbiotic dinoflagellates. These results suggest that stress-responsive genes, such as HSPs, respond differently to Diuron in corals and their symbiotic dinoflagellates and that A. tenuis HSPs and CALRs may be useful molecular biomarkers for predicting stress responses induced by the herbicide Diuron.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42995-023-00183-0.

Association between Blood Pressure Recording in Prehospital Setting and Patient Outcome in Pediatric Trauma Patients: A Propensity Score Matching Study

BACKGROUND

Rapid identification of the severity of injuries in the field is important to ensure appropriate hospital care for better outcomes. Vital signs are used as a field triage tool for critically ill or injured patients in prehospital settings. Several studies have shown that recording vital signs, especially blood pressure, in pediatric patients is sometimes omitted in prehospital settings compared with that in adults. However, little is known about the association between the lack of measurement of prehospital vital signs and patient outcomes. In this study, we examined the association between the rate of vital sign measurements in the field and patient outcomes in injured children.

METHODS

This study analyzed secondary data from the Japan Trauma Data Bank. We included pediatric patients (0-17 years) with injuries who were transported by emergency medical services. Hospital survival was the primary outcome. We performed a propensity-matched analysis with nearest-neighbor matching without replacement by adjusting for demographic and clinical variables to evaluate the effect of recording vital signs.

RESULTS

During the study period, 13,413 pediatric patients were included. There were 9,187 and 1,798 patients with and without prehospital blood pressure records, respectively. After matching, there were no differences in the patient characteristics or disease severity. Hospital mortality was significantly higher in the non-recorded group than in the recorded group (4.3% vs. 1.1%; P < .001). The multiple logistic regression analysis results showed no prehospital record of blood pressure being associated with death (odds ratio [OR], 6.82; 95% confidence interval [CI], 2.40-19.33). Glasgow Coma Scale score and Injury Severity Score were also associated with death (OR, 0.71; 95% CI, 0.63- 0.81 and OR, 1.10; 95% CI, 1.06-11.14, respectively).

CONCLUSIONS

Pediatric patients without any blood pressure records in prehospital settings had higher mortality rates than those with prehospital blood pressure records.

LEVEL OF EVIDENCE

Therapeutic/Care Management IV.

Physical Delithiation of Epitaxial LiCoO2 Battery Cathodes as a Platform for Surface Electronic Structure Investigation

We report a novel delithiation process for epitaxial thin films of LiCoO₂(001) cathodes using only physical methods, based on ion sputtering and annealing cycles. Preferential Li sputtering followed by annealing produces a surface layer with a Li molar fraction in the range 0.5 < x < 1, characterized by good crystalline quality. This delithiation procedure allows the unambiguous identification of the effects of Li extraction without chemical byproducts and experimental complications caused by electrolyte interaction with the LiCoO₂ surface. An analysis by X-ray photoelectron spectroscopy (XPS) and X-ray absorption spectroscopy (XAS) provides a detailed description of the delithiation process and the role of O and Co atoms in charge compensation. We observe the simultaneous formation of Co⁴⁺ ions and of holes localized near O atoms upon Li removal, while the surface shows a (2 × 1) reconstruction. The delithiation method described here can be applied to other crystalline battery elements and provide information on their properties that is otherwise difficult to obtain.

Prevention and management of critical care complications in cardiogenic shock: a narrative review

BACKGROUND

Cardiogenic shock (CS) is a common cause of morbidity and mortality in cardiac intensive care units (CICUs), even in the contemporary era.

MAIN TEXT

Although mechanical circulatory supports have recently become widely available and used in transforming the management of CS, their routine use to improve outcomes has not been established. Transportation to a high-volume center, early reperfusion, tailored mechanical circulatory supports, regionalized systems of care with multidisciplinary CS teams, a dedicated CICU, and a systemic approach, including preventing noncardiogenic complications, are the key components of CS treatment strategies.

CONCLUSIONS

This narrative review aimed to discuss the challenges of preventing patients from developing CS-related complications and provide a comprehensive practical approach for its management.

Predictors of Small Bowel Transit Time for Capsule Endoscopy in Children with Inflammatory Bowel Disease

Purpose

The development of assistive devices has allowed for the performance of capsule endoscopy in children. Anticipating the capsule's transit time could affect the efficacy of the investigation and potentially minimize the fasting period. This study determined the predictors of small bowel transit time for small-bowel capsule endoscopy in children and adolescents with inflammatory bowel disease.

Methods

We retrospectively examined children and adolescents with inflammatory bowel disease who underwent capsule endoscopy by the age 18 at a Japanese tertiary care children's hospital. Small bowel transit time predictors were analyzed using multiple regression with explanatory variables.

Results

Overall, 92 patients, aged 1-17 years, with inflammatory bowel disease (63 Crohn's disease and 29 ulcerative colitis cases) were examined for factors affecting small bowel transit time. In the simple regression analysis, diagnosis, age, height, weight, serum albumin, general anesthesia, and small intestine lesions were significantly associated with small bowel transit time. In the multiple regression analyses, serum albumin (partial regression coefficient: -58.9, p=0.008), general anesthesia (partial regression coefficient: 127, p<0.001), and small intestine lesions (partial regression coefficient: 30.1, p=0.037) showed significant associations with small bowel transit time.

Conclusion

Hypoalbuminemia, the use of general anesthesia for endoscopic delivery of the capsule, and small intestine lesions appeared to be predictors of prolonged small bowel transit time in children and adolescents with inflammatory bowel disease. Expecting the finishing time may improve examination with a fasting period reduction, which benefits both patients and caregivers.

Predictive value of total psoas muscle index for postoperative physical functional decline in older patients undergoing emergency abdominal surgery

BACKGROUND

Older individuals increasingly require emergency abdominal surgeries. They are susceptible to surgical stress and loss of independence in performing daily activities. We hypothesized that the psoas muscle volume would be significantly associated with postoperative functional decline (FD) in older patients undergoing emergency abdominal surgery and aimed to evaluate the use of the psoas muscle volume on computed tomography (CT) scans.

METHODS

A retrospective, single-center study of patients aged ≥ 65 years who had undergone emergency abdominal surgery between January 2019 and June 2021 was performed. We assessed patients' activities of daily living using the Barthel Index. FD was defined as a ≥ 5-point decrease between preoperative and 28-day postoperative values. The psoas muscle volume was measured by CT, which was used for diagnosis, and normalized by height to calculate total psoas muscle index (TPI). We evaluated associations between FD and TPI using receiver operating characteristics (ROC) analysis and multiple logistic regression analysis.

RESULTS

Of 238 eligible patients, 71 (29.8%) had clinical postoperative FD. Compared to the non-FD group, the FD group was significantly older and had a higher proportion of females, higher Charlson Comorbidity Index, lower body mass index, higher American Society of Anesthesiology score, lower serum albumin level, and lower TPI. ROC analyses revealed that TPI had the highest area under the curve (0.802; 95% confidence interval [CI], 0.75-0.86). A multivariable logistic regression model revealed that low TPI was an independent predictor of postoperative FD (odds ratio, 0.14; 95% CI, 0.06-0.32).

CONCLUSIONS

TPI can predict postoperative FD due to emergency abdominal surgery. Identification of patients who are at high risk of FD before surgery may be useful for enhancing the regionalized system of care for emergency general surgery.

High-performance multimode elastocaloric cooling system

Developing zero-global warming potential refrigerants has emerged as one area that helps address global climate change concerns. Various high-efficiency caloric cooling techniques meet this goal, but scaling them up to technologically meaningful performance remains challenging. We have developed an elastocaloric cooling system with a maximum cooling power of 260 watts and a maximum temperature span of 22.5 kelvin. These values are among the highest reported for any caloric cooling system. Its key feature is the compression of fatigue-resistant elastocaloric nitinol (NiTi) tubes configured in a versatile multimode heat exchange architecture, which allows the harnessing of both high delivered cooling power and large temperature spans. Our system shows that elastocaloric cooling, which only emerged 8 years ago, is a promising direction for commercializing caloric cooling.

Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences

Cutting-edge technologies such as genome editing and synthetic biology allow us to produce novel foods and functional proteins. However, their toxicity and allergenicity must be accurately evaluated. It is known that specific amino-acid sequences in proteins make some proteins allergic, but many of these sequences remain uncharacterized. In this study, we introduce a data-driven approach and a machine-learning (ML) method to find undiscovered allergen specific patterns (ASPs) among amino acid sequences. The proposed method enables an exhaustive search for amino-acid subsequences whose frequencies are statistically significantly higher in allergenic proteins. As a proof-of-concept, we created a database containing 21,154 proteins of which the presence or absence of allergic reactions are already known, and applied the proposed method to the database. The detected ASPs in this proof-of-concept study were consistent with known biological findings, and the allergenicity prediction performance using the detected ASPs was higher than extant approaches, indicating this method may be useful in evaluating the utility of synthetic foods and proteins.

Relationship of emergency department visits for suicide attempts with meteorological and air pollution conditions

BACKGROUND

Environmental factors such as meteorological and air pollution conditions have been identified as risk factors for suicide. This study aimed to clarify the relationship of the number of visits to the emergency department for suicide attempts with meteorological and air pollution conditions.

METHODS

This cross-sectional study included patients who attempted suicide and were transported to Yokohama City University Medical Center from April 2005 to March 2022. The meteorological conditions recorded at the time of transport included mean atmospheric pressure, mean temperature, maximum temperature, minimum temperature, mean humidity, wind speed, and sunshine hours, and the air pollution conditions included SO₂ (ppm), NO (ppm), NO₂ (ppm), NOX (ppm), OX (ppm), CH₄ (ppmC), NMHC (ppmC), THC (ppmC), SPM (μg/m³), and PM2.5 (μg/m³). Poisson regression analysis was used to examine the association between the number of suicide attempts and the meteorological and air pollution conditions. Subgroup analyses were conducted by classifying the subjects according to the means of suicide attempt; comparisons were performed using t-tests.

RESULTS

The study included 1737 patients. Multivariate Poisson regression analyses revealed a significant positive relationship between the number of suicide attempts and SO₂ levels and a significant negative relationship between the number of suicide attempts and NO levels. When subjects were divided by means of suicide attempt, different relationships with meteorological and air pollution conditions were observed.

CONCLUSION

Meteorological and air pollution conditions are environmental factors that can enable a more detailed understanding of suicide behavior according to the means of suicide attempts.

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning

In the present study, we propose a novel case-based similar image retrieval (SIR) method for hematoxylin and eosin (H&E) stained histopathological images of malignant lymphoma. When a whole slide image (WSI) is used as an input query, it is desirable to be able to retrieve similar cases by focusing on image patches in pathologically important regions such as tumor cells. To address this problem, we employ attention-based multiple instance learning, which enables us to focus on tumor-specific regions when the similarity between cases is computed. Moreover, we employ contrastive distance metric learning to incorporate immunohistochemical (IHC) staining patterns as useful supervised information for defining appropriate similarity between heterogeneous malignant lymphoma cases. In the experiment with 249 malignant lymphoma patients, we confirmed that the proposed method exhibited higher evaluation measures than the baseline case-based SIR methods. Furthermore, the subjective evaluation by pathologists revealed that our similarity measure using IHC staining patterns is appropriate for representing the similarity of H&E stained tissue images for malignant lymphoma.

Prediction of prognosis in patients with severe COVID-19 pneumonia using CT score by emergency physicians: a single-center retrospective study

We aimed to develop a method to determine the CT score that can be easily obtained from CT images and examine its prognostic value for severe COVID pneumonia. Patients with COVID pneumonia who required ventilatory management by intubation were included. CT score was based on anatomical information in axial CT images and were divided into three sections of height from the apex to the bottom. The extent of pneumonia in each section was rated from 0 to 5 and summed. The primary outcome was the prediction of patients who died or were managed on extracorporeal membrane oxygenation (ECMO) based on the CT score at admission. Of the 71 patients included, 12 (16.9%) died or required ECMO management, and the CT score predicted death or ECMO management with ROC of 0.718 (0.561-0.875). The death or ECMO versus survival group (median [quartiles]) had a CT score of 17.75 (14.75-20) versus 13 (11-16.5), p = 0.017. In conclusion, a higher score on our generated CT score could predict the likelihood of death or ECMO management. A CT score at the time of admission allows for early preparation and transfer to a hospital that can manage patients who may need ECMO.

Observation of the Superconducting Proximity Effect from Surface States in SmB_{6}/YB_{6} Thin Film Heterostructures via Terahertz Spectroscopy

The ac conduction of epitaxially grown SmB_{6} thin films and superconducting heterostructures of SmB_{6}/YB_{6} are investigated via time-domain terahertz spectroscopy. A two-channel model of thickness-dependent bulk states and thickness-independent surface states accurately describes the measured conductance of bare SmB_{6} thin films, demonstrating the presence of surface states in SmB_{6}. While the observed reductions in the simultaneously measured superconducting gap, transition temperature, and superfluid density of SmB_{6}/YB_{6} heterostructures relative to bare YB_{6} indicate the penetration of proximity-induced superconductivity into the SmB_{6} overlayer; the corresponding SmB_{6}-thickness independence between different heterostructures indicates that the induced superconductivity is predominantly confined to the interface surface state of the SmB_{6}. This study demonstrates the ability of terahertz spectroscopy to probe proximity-induced superconductivity at an interface buried within a heterostructure, and our results show that SmB_{6} behaves as a predominantly insulating bulk surrounded by conducting surface states in both the normal and induced-superconducting states in both terahertz and dc responses, which is consistent with the topological Kondo insulator picture.

Diagnosis and treatment approaches for simultaneous onset of subarachnoid hemorrhage and thyroid storm: a case report

BACKGROUND

Subarachnoid hemorrhage and thyroid storm are similar in their clinical symptomatology, and diagnosis of these conditions, when they occur simultaneously, is difficult. Here, we report a rare case of concurrent subarachnoid hemorrhage and thyroid storm we encountered at our hospital.

CASE PRESENTATION

The patient was a 52-year-old woman. While bathing at home, the patient experienced a sudden disturbance of consciousness and was brought to our hospital. The main physical findings upon admittance were Glasgow Coma Scale score of E1V2M4, elevated blood pressure (208/145 mmHg), and tachycardia with atrial fibrillation (180 bpm) along with body temperature of 36.1 °C. Brain computed tomography revealed subarachnoid hemorrhage associated with a ruptured aneurysm of the posterior communicating artery branching from the left internal carotid artery, and aneurysm clipping was performed. Blood tests upon admission revealed high levels of free T3 and free T4 and low levels of thyroid-stimulating hormone. Upon determining that the patient had hyperthyroidism, thiamazole was administered. However, due to continuous impaired consciousness, fever, and persistence of tachycardia, the patient was diagnosed with thyroid storm. Oral potassium iodide and hydrocortisone were added to the treatment. The treatment was successful as the patient's symptoms improved, and she became lucid. In this case, we believe that in the presence of untreated hyperthyroidism, the onset of subarachnoid hemorrhage induced thyroid storm. Tachycardia of 130 bpm or higher, which is the diagnostic criterion for thyroid storm, rarely occurs with subarachnoid hemorrhage. Therefore, we believe it is an important factor for recognizing the presence of the thyroid storm. In this case, clipping surgery was prioritized which resulted in a favorable outcome. However, it is possible that invasive surgery may have exacerbated thyroid storm, suggesting that treatment should be tailored as per patient's condition.

CONCLUSION

If a pulse rate of 130 bpm or higher is observed alongside subarachnoid hemorrhage, we recommend considering the possibility of concomitant thyroid storm and testing for thyroid hormone. If concomitant thyroid storm is present, we believe that a treatment plan tailored to the patient's condition is critical, and early diagnosis will lead to a favorable outcome for the patient.

Evaluating the definition of severely injured patients: a Japanese nationwide 5-year retrospective study

OBJECTIVES

The definition of severely injured patients lacks universal consensus based on quantitative measures. The most widely used definition of severe injury is based on the Injury Severity Score (ISS), which is calculated using the Abbreviated Injury Scale in Japan. This study aimed to compare the prevalence, in-hospital mortality and OR for mortality in patients with ISS ≥16, ISS ≥18 and ISS ≥26 by age groups.

DESIGN

Retrospective cohort study.

SETTING

Japan Trauma Data Bank, which is a nationwide trauma registry with data from 280 hospitals.

PARTICIPANTS

We used data of 117 199 injured patients from a national database. We included injured patients who were transferred from the scene of injury by ambulance and/or physician.

PRIMARY AND SECONDARY OUTCOME MEASURES

Prevalence, in-hospital mortality and OR for mortality with respect to age and injury level (ISS group).

RESULTS

In all age categories, the in-hospital mortality of patient groups with an ISS ≥16, ISS ≥18 and ISS ≥26 was 13.3%, 17.4% and 23.5%, respectively. The in-hospital mortality for patients aged >75 years was the highest (20% greater than that of the other age groups). Moreover, in-hospital mortality for age group 5-14 years was the lowest (4.0-10.9%). In all the age groups, the OR for mortality for patients with ISS ≥16, ISS ≥18 and ISS ≥26 was 12.8, 11.0 and 8.4, respectively.

CONCLUSIONS

Our results revealed the lack of an acceptable definition, with a high in-hospital mortality and high OR for mortality for all age groups.

Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening

We consider the problem of learning a sparse rule model, a prediction model in the form of a sparse linear combination of rules, where a rule is an indicator function defined over a hyper-rectangle in the input space. Since the number of all possible such rules is extremely large, it has been computationally intractable to select the optimal set of active rules. In this paper, to solve this difficulty for learning the optimal sparse rule model, we propose Safe RuleFit (SRF). Our basic idea is to develop meta safe screening (mSS), which is a non-trivial extension of well-known safe screening (SS) techniques. While SS is used for screening out one feature, mSS can be used for screening out multiple features by exploiting the inclusion-relations of hyper-rectangles in the input space. SRF provides a general framework for fitting sparse rule models for regression and classification, and it can be extended to handle more general sparse regularizations such as group regularization. We demonstrate the advantages of SRF through intensive numerical experiments.

Energy Efficient Neuro-Inspired Phase-Change Memory Based on Ge4 Sb6 Te7 as a Novel Epitaxial Nanocomposite

Phase-change memory (PCM) is a promising candidate for neuro-inspired, data-intensive artificial intelligence applications, which relies on the physical attributes of PCM materials including gradual change of resistance states and multilevel operation with low resistance drift. However, achieving these attributes simultaneously remains a fundamental challenge for PCM materials such as Ge₂ Sb₂ Te₅ , the most commonly used material. Here bi-directional gradual resistance changes with ≈10× resistance window using low energy pulses are demonstrated in nanoscale PCM devices based on Ge₄ Sb₆ Te₇ , a new phase-change nanocomposite material . These devices show 13 resistance levels with low resistance drift for the first 8 levels, a resistance on/off ratio of ≈1000, and low variability. These attributes are enabled by the unique microstructural and electro-thermal properties of Ge₄ Sb₆ Te₇ , a nanocomposite consisting of epitaxial SbTe nanoclusters within the Ge-Sb-Te matrix, and a higher crystallization but lower melting temperature than Ge₂ Sb₂ Te₅ . These results advance the pathway toward energy-efficient analog computing using PCM.

Predictors of Outcomes Six Months after Endovascular Coil Embolization of Poor-Grade Aneurysmal Subarachnoid Hemorrhage

Objective

To identify factors associated with the outcome and prognosis of coil embolization for poor-grade aneurysmal subarachnoid hemorrhage (aSAH).

Methods

We retrospectively reviewed 118 patients with World Federation of Neurosurgical Societies (WFNS) grade IV or V subarachnoid hemorrhage at our institute between January 2010 and December 2020. Outcomes were assessed using modified Rankin Scale (mRS) scores at discharge and at six months after aSAH onset. In addition, patient background, aneurysm characteristics, and treatment outcome were compared between patients showing favorable (mRS scores: 0-2) and unfavorable (mRS scores: 3-6) outcomes at six months. Factors for change of mRS during follow-up were explored, and cut off values were calculated for age using the receiver operating characteristic analysis.

Results

Endovascular treatment was performed in 51 of the 118 enrolled patients. Data were analyzed for 43 of these patients who underwent coil embolization of ruptured aneurysms and had complete datasets. The mean age was 61.7 years and 24 (55.8%) patients had WFNS grade V aSAH. Coil embolization-related complications were observed in three patients. There were no treatment-related deaths; however, eight patients (18.6%) died at three months. Multivariate analysis showed that the maximum diameter of the aneurysm (p=0.041) and the postoperative dual antiplatelet therapy (DAPT) (p=0.040) were associated with unfavorable and favorable outcomes, respectively. Older age (p=0.033) was independently associated with mRS score deterioration following discharge. Age 72 years and older was the cut off value for mRS deterioration.

Conclusion

Aneurysm size and postoperative DAPT might be associated with outcomes at 6 months. Moreover, we identified older age as an independent factor that influences mRS deterioration following discharge; thus, especially in cases of elderly patients over 72 years of age, it is highly likely that long-term care to prevent disuse and regular follow-up on imaging will be necessary.

Transformer-based personalized attention mechanism for medical images with clinical records

In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images. However, in actual medical practice, the diagnosis is made based on both the images and various clinical records. Consequently, pathologists examine medical images with prior knowledge of the patients and the attention regions may change depending on the clinical records. In this study, we propose a method, called the Personalized Attention Mechanism (PersAM) method, by which the attention regions in medical images according to the clinical records. The primary idea underlying the PersAM method is the encoding of the relationships between medical images and clinical records using a variant of the Transformer architecture. To demonstrate the effectiveness of the PersAM method, we applied it to a large-scale digital pathology problem involving identifying the subtypes of 842 malignant lymphoma patients based on their gigapixel whole-slide images and clinical records.

Association of obesity paradox with prognosis of veno-venous-extracorporeal membrane oxygenation in patients with coronavirus disease 2019

Aim

Although the obesity paradox is known for various diseases, including cancer and acute respiratory distress syndrome, little is known about veno-venous extracorporeal membrane oxygenation (VV-ECMO) in patients with coronavirus disease 2019 (COVID-19). In this study, we aimed to investigate the association between body mass index (BMI) and prognosis in critical patients with COVID-19 requiring VV-ECMO.

Methods

We conducted a retrospective observational single-center study at Yokohama City University Civic General Medical Center between March 2020 and October 2021. Participants were patients with COVID-19 who required VV-ECMO. They were classified into two groups: BMI ≤30 kg/m² and >30 kg/m².

Results

In total, 23 patients were included in the analysis, with a median BMI of 28.7 kg/m². Overall, 22 patients were successfully weaned from the ECMO. When comparing the two groups, there was a trend toward fewer days from onset to ECMO induction in the BMI >30 kg/m² group. Moreover, the two groups had a similar prognosis. There were no statistically significant differences in the number of days from onset to hospitalization or the duration of ECMO induction between the groups.

Conclusion

VV-ECMO induction for patients with COVID-19 may lead to earlier indications in patients with BMI >30 kg/m² than in those with BMI ≤30 kg/m².

Continuous positive airway pressure treatment from the prehospital field in a Japanese regional Doctor Car system

Background

Continuous positive airway pressure (CPAP) therapy is an effective treatment for patients with severe heart failure, and certain guidelines recommend its early initiation. However, the current Japanese law strictly prohibits paramedics from administering this treatment. To demonstrate the efficacy and safety of prehospital administration of CPAP therapy, this study was conducted by the Yokohama Medical Control Council (Yokohama MC).

Methods

The Yokohama MC established a protocol for CPAP treatment and dispatched Doctor Cars to attend to patients with severe respiratory failure. The Boussignac CPAP system was installed in all Yokohama Doctor Cars, including Workstation-type Doctor Cars and Hospital-type Doctor Cars. Data from this study were collected and recorded in the Yokohama City Doctor Car Registry system from October 2020 to January 2022.

Results

The Doctor Car was dispatched 661 times, and CPAP therapy was administered to 13 patients in the prehospital field. It is important to note that the number of CPAP cases was lower than anticipated due to the coronavirus disease 2019 (COVID-19) pandemic, given concerns about aerosol production. When assessing changes over time in oxygen saturation (SpO2), the median (interquartile range), excluding missing values, was 89% (83%-93%) without oxygen, 95% (94%-99.3%) with oxygen, and 100% (97%-100%) with CPAP. The differences between these groups were statistically significant with a p-value of <0.0001. Respiratory distress was primarily attributed to heart failure in 10 patients (91%) and pneumothorax in 1 patient (9%). Notably, none of the patients' conditions worsened after the use of CPAP.

Conclusion

We have detailed the administration of CPAP therapy in the prehospital field within a local city in Japan. To the best of our knowledge, this represents the inaugural report of a prospective observational study on the prehospital administration of CPAP therapy originating from Japan.