Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis.

Drug-induced convulsions are a major challenge to drug development because of the lack of reliable biomarkers. Using machine learning, our previous research indicated the potential use of an index derived from heart rate variability (HRV) analysis in non-human primates as a biomarker for convulsions induced by GABAA receptor antagonists. The present study aimed to explore the application of this methodology to other convulsants and evaluate its specificity by testing non-convulsants that affect the autonomic nervous system. Telemetry-implanted males were administered various convulsants (4-aminopyridine, bupropion, kainic acid, and ranolazine) at different doses. Electrocardiogram data gathered during the pre-dose period were employed as training data, and the convulsive potential was evaluated using HRV and multivariate statistical process control. Our findings show that the Q-statistic-derived convulsive index for 4-aminopyridine increased at doses lower than that of the convulsive dose. Increases were also observed for kainic acid and ranolazine at convulsive doses, whereas bupropion did not change the index up to the highest dose (1/3 of the convulsive dose). When the same analysis was applied to non-convulsants (atropine, atenolol, and clonidine), an increase in the index was noted. Thus, the index elevation appeared to correlate with or even predict alterations in autonomic nerve activity indices, implying that this method might be regarded as a sensitive index to fluctuations within the autonomic nervous system. Despite potential false positives, this methodology offers valuable insights into predicting drug-induced convulsions when the pharmacological profile is used to carefully choose a compound.

Post-treatment Neutrophil/Lymphocyte Ratio Is a Prognostic Factor in Head and Neck Cancers Treated With Nivolumab.

Background/Aim: Inflammation and nutrition-based biomarkers, such as the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI), have prognostic value for several types of malignancies. Markers that precisely reflect the prognosis of patients with head and neck cancers (HNCs) treated with immune-checkpoint inhibitors remain unclear. This retrospective study aimed to investigate the prognostic value of hematological markers before and after treatment with nivolumab in patients with recurrent or metastatic HNC (RM-HNC). Patients and Methods: We evaluated the clinical data of 44 patients with recurrent/metastatic head and neck squamous cell carcinoma treated with nivolumab between April 2017 and April 2023 at Shinshu University Hospital. Values of hematological biomarkers (NLR, LMR, PLR, CAR, PNI, SII, and SIRI) were calculated before and 4-6 weeks after nivolumab initiation. Receiver operating characteristic curves were constructed to determine the cutoff values of pre- and post-treatment markers for overall survival (OS) and progression-free survival (PFS). Results: Among all pre- and post-treatment markers, post-treatment NLR showed the highest area under the curve (AUC=0.702). A high post-treatment NLR (cutoff value, 4.01) was associated with a poor OS (p=0.027) and a tendency for shorter PFS (p=0.117). Multivariate analysis showed that a high post-treatment NLR was significantly associated with poor OS (p=0.026). Conclusion: A high post-treatment NLR was associated with poor response to nivolumab in head and neck cancers.

A Spatial Transcriptome Reveals Changes in Tumor and Tumor Microenvironment in Oral Cancer with Acquired Resistance to Immunotherapy.

Although anti-programmed death-1 (PD-1) antibody therapy improves the prognosis in patients with head and neck squamous cell carcinoma (HNSCC), some patients exhibit disease progression even after showing a good response to the treatment initially because of acquired resistance. Here, we aimed to reveal the dynamic changes in the tumor and tumor microenvironment (TME) in a 77-year-old man diagnosed with oral squamous cell carcinoma who developed acquired resistance after the administration of nivolumab using spatial transcriptomics. The results showed that, before immunotherapy, the activated pathways in the tumor area were mainly related to the cancer immune system, including antigen processing cross-presentation, interferon-gamma signaling, and the innate immune system. After immunotherapy, the activated pathways were mainly related to epigenetic modification, including RMTs methylate histone arginine and HDAC deacetylates histones. Before immunotherapy, the activated pathways in the TME were mainly related to the metabolism of proteins, including SRP-dependent co-translational protein targeting the membrane. After immunotherapy, the activated pathways in the TME were related to sensory perception and signal transduction. Our study revealed that epigenetic-modification-related pathways were mainly activated after establishing acquired resistance, suggesting that epigenetic modification in the tumor may prevent cancer immune system activation via the anti-PD-1 antibody.

Utility of Cardiac Rehabilitation for Long-Term Outcomes in Patients with Hospital-Acquired Functional Decline after Cardiac Surgery: A Retrospective Study.

Hospital-acquired functional decline is an important outcome that affects the long-term prognosis of patients after cardiac surgery. Phase II cardiac rehabilitation (CR) for outpatients is expected to improve prognosis; however, this is not clear in patients with hospital-acquired functional decline after cardiac surgery. Therefore, this study evaluated whether phase II CR improved the long-term prognosis of patients with hospital-acquired functional decline after cardiac surgery. This single-center, retrospective observational study included 2371 patients who required cardiac surgery. Hospital-acquired functional decline occurred in 377 patients (15.9%) after cardiac surgery. The mean follow-up period was 1219 ± 682 days in all patients, and there were 221 (9.3%) cases with major adverse cardiovascular events (MACE) after discharge during the follow-up period. The Kaplan-Meier survival curves indicated that hospital-acquired functional decline and non-phase II CR was associated with a higher incidence of MACE than other groups (log-rank, p < 0.001), additionally exhibiting prognosticating MACE in multivariate Cox regression analysis (HR, 1.59; 95% CI, 1.01-2.50; p = 0.047). Hospital-acquired functional decline after cardiac surgery and non-phase II CR were risk factors for MACE. The participation in phase II CR in patients with hospital-acquired functional decline after cardiac surgery could reduce the risk of MACE.

Exploring the Frailty Components Related to Hospitalization-Associated Disability in Older Patients After Cardiac Surgery Using a Comprehensive Frailty Assessment.

BACKGROUND: We investigated the components of frailty associated with hospitalization-associated disability (HAD) after cardiac surgery.Methods and Results: This retrospective, observational study evaluated 1,446 older patients after elective cardiac surgery at the Sakakibara Heart Institute. We examined the association between HAD and 7 domains of frailty assessed by the Kihon Checklist. HAD was defined as a decline in the ability to perform activities of daily living (ADL) between admission and discharge, as assessed by the Barthel Index. Logistic regression and decision tree analysis were used to identify associations between the number and type of frailty components and HAD. Of the 1,446 patients, 190 were excluded, and 90 (7%) developed HAD. An increase in the number of frailty components was a risk factor for HAD (odds ratio: 1.88, 95% confidence interval: 1.62-2.17). Decision tree analysis identified physical functional decline, depression, and cognitive dysfunction as factors associated with HAD. The incidence of HAD was highest in cases of physical functional decline (21%) and lowest for cases in which the 3 aforementioned factors were absent (2.8%). CONCLUSIONS: An increased number of frailty factors increased the risk of HAD and the findings also reaffirmed the importance of a comprehensive assessment to evaluate the risk of HAD, including evaluation of physical function, cognitive function, and depression.

Prognostic significance of pre- and post-treatment hematological biomarkers in patients with head and neck cancer treated with chemoradiotherapy.

This study aimed to investigate the prognostic value of hematological biomarkers measured before and after treatment in patients with head and neck cancer (HNC). This study reviewed 124 patients with HNC who received chemoradiotherapy. Hematological biomarkers assessed before and after treatment were investigated. The pretreatment C-reactive protein/albumin ratio (pre-CAR) and post-treatment prognostic nutritional index (post-PNI) showed the highest area under the curve with cutoff values of 0.0945 and 34.9, respectively. Patients in the high pre-CAR group showed significantly worse prognosis than those in the low pre-CAR group with respect to the progression-free survival (PFS) (3-year PFS: 44.8% vs. 76.8%, p < 0.001) and overall survival (OS) (3-year OS: 65.8% vs. 94.0%, p < 0.001). Patients in the low post-PNI group showed significantly worse prognosis than those in the high post-PNI group with respect to the PFS (3-year PFS: 58.6% vs. 77.4%, p = 0.013) and OS (3-year OS: 75.2% vs. 96.9%, p = 0.019). Multivariate analysis revealed that advanced N stage (p = 0.008), high pre-CAR (p = 0.024), and low post-PNI (p = 0.034) were significantly associated with poorer OS. We suggest that the evaluation of hematological markers before and after treatment is useful for predicting disease progression and survival.

Factors Related to Hospitalisation-Associated Disability in Patients after Surgery for Acute Type A Aortic Dissection: A Retrospective Study.

The in-hospital mortality rate among patients after surgery for acute type A aortic dissection (ATAAD) has improved chronologically. However, the relationship between the incidence of hospitalisation-associated disability (HAD) and acute cardiac rehabilitation in patients after surgery for ATAAD has not been reported. Therefore, this study evaluated factors related to HAD in patients after surgery for ATAAD. This single-centre retrospective observational study included 483 patients who required emergency surgery for ATAAD. HAD occurred in 104 (21.5%) patients following cardiovascular surgery. Factors associated with HAD were age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.02-1.09; p = 0.001), noninvasive positive pressure ventilation (NPPV; OR, 2.15; 95% CI, 1.10-4.19; p = 0.025), postoperative delirium (OR, 2.93; 95% CI, 1.60-5.37; p = 0.001), and timing of walking onset (OR, 1.29; 95% CI, 1.07-1.56; p = 0.008). Furthermore, a late walking onset was associated with a higher risk of developing HAD and more severe functional decline. Early rehabilitation based on appropriate criteria has possibility of preventing HAD.

Perioperative management of a patient with a giant thyroglossal duct cyst: a case report.

Thyroglossal duct cysts (TGDC) are the most common type of congenital neck masses, which generally present in young adults. We present a rare case of a giant TGDC in a 77-year-old patient who required atypical perioperative management. The patient presented with a large soft mass on his anterior neck. Computed tomography showed a lobulated cystic mass measuring 18 × 16 cm, extending from the tongue base to the inferior level of the clavicle. Because difficult intubation was expected, the cyst was punctured and most of the fluid was drained prior to surgery. The swelling of the tongue base was remarkably reduced, and intubation was performed safely. The cyst was extracted using the Sistrunk procedure and tracheotomy was performed. Histopathological examination confirmed the diagnosis of TGDC. Preoperative volume reduction of the cyst and tracheotomy should be considered for oral intubation and postoperative airway management, respectively, in patients with large TGDC.

Physical function examination at intensive care unit as predictive indicators for hospitalization-associated disability in patients after cardiovascular surgery.

BACKGROUND: Following cardiovascular surgery, patients are at high risk of requiring systemic management in the intensive care unit (ICU), resulting in hospitalization-associated disability (HAD). Predicting the risk of HAD during the postoperative course is important to prevent susceptibility to cardiovascular events. Assessment of physical function during the ICU stay may be useful as a prediction index but has not been established. METHODS: This prospective observational study conducted at a high-volume cardiovascular center included 236 patients (34% female; median age, 73 years) who required an ICU stay of at least 72 hours after surgery and underwent postoperative rehabilitation. HAD was defined as a decrease in the discharge Barthel index (BI) score of at least 5 points relative to the preadmission BI score. Physical Function ICU Test-scored (PFIT-s), Functional Status Score for the ICU (FSS-ICU), and Medical Research Council (MRC)-sumscore were used to assess physical function at ICU discharge. RESULTS: HAD occurred in 58 (24.6%) of the 236 patients following cardiovascular surgery. The cut-off points for HAD were 7.5 points for the PFIT-s (sensitivity 0.80, specificity 0.59), 24.5 points for the FSS-ICU (sensitivity 0.57, specificity 0.66), and 59.5 points for the MRC-sumscore (sensitivity 0.93, specificity 0.66). Multivariate logistic regression analysis revealed a PFIT-s of >7.5 points (odds ratio [OR], 4.84; 95% CI, 2.39-9.80; p < 0.001) and an MRC-sumscore of >59.5 points (OR, 2.43; 95% CI, 1.22-4.87; p = 0.012) as independent associated factors. CONCLUSIONS: We demonstrate that the PFIT-s and MRC-sumscore at ICU discharge may be helpful as a predictive indicator for HAD in patients having undergone major cardiovascular surgery.

Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients　- Exploring the Risk Factors Using Machine Learning Algorithms.

Background: Hospitalization-associated disability (HAD) is associated with prolonged functional decline and increased mortality after discharge. Therefore, we examined the incidence and risk factors associated with HAD in elderly patients undergoing cardiac surgery in Japan. Methods and Results: We retrospectively examined 2,262 elderly patients who underwent elective cardiac surgery at Sakakibara Heart Institute. HAD was defined as a functional decline between time of admission and discharge measured by the Barthel Index. We analyzed clinical characteristics using machine learning algorithms to identify the risk factors associated with HAD. After excluding 203 patients, 2,059 patients remained, of whom 108 (5.2%) developed HAD after cardiac surgery. The risk factors identified were age, serum albumin concentration, estimated glomerular filtration rate, Revised Hasegawa's Dementia Scale, N-terminal pro B-type natriuretic peptide, vital capacity, preoperative Short Physical Performance Battery (SPPB) score, operation times, cardiopulmonary bypass times, ventilator times, length of postoperative intensive care unit stay, and postoperative ambulation start day. The highest incidence of HAD was found in patients with an SPPB score ≤9 and in those who started ambulation >6 days after surgery (76.9%). Conclusions: Several risk factors for HAD are components of frailty, suggesting that preoperative rehabilitation to reduce the risk of HAD is feasible. Furthermore, the association between HAD and a delayed start of ambulation reaffirms the importance of early mobilization and rehabilitation.

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis.

A considerable amount of health record (HR) data has been stored due to recent advances in the digitalization of medical systems. However, it is not always easy to analyze HR data, particularly when the number of persons with a target disease is too small in comparison with the population. This situation is called the imbalanced data problem. Over-sampling and under-sampling are two approaches for redressing an imbalance between minority and majority examples, which can be combined into ensemble algorithms. However, these approaches do not function when the absolute number of minority examples is small, which is called the extremely imbalanced and small minority (EISM) data problem. The present work proposes a new algorithm called boosting combined with heuristic under-sampling and distribution-based sampling (HUSDOS-Boost) to solve the EISM data problem. To make an artificially balanced dataset from the original imbalanced datasets, HUSDOS-Boost uses both under-sampling and over-sampling to eliminate redundant majority examples based on prior boosting results and to generate artificial minority examples by following the minority class distribution. The performance and characteristics of HUSDOS-Boost were evaluated through application to eight imbalanced datasets. In addition, the algorithm was applied to original clinical HR data to detect patients with stomach cancer. These results showed that HUSDOS-Boost outperformed current imbalanced data handling methods, particularly when the data are EISM. Thus, the proposed HUSDOS-Boost is a useful methodology of HR data analysis.