Backgrounds: Currently, there is a lack of evidence of prehabilitation during neoadjuvant chemotherapy (NAC) to prevent pneumonia of older patients. This study aimed to investigate the association of preoperative physical fitness after NAC with post-esophagectomy pneumonia in older patients with locally advanced esophageal cancer (LAEC).
Methods: This single-center exploratory prospective cohort study included 80 patients aged ≥ 65 years with LAEC scheduled for curative esophagectomy after NAC between 2021 and 2023.
In older patients with locally advanced esophageal cancer (LAEC), loss of skeletal muscle mass during neoadjuvant chemotherapy (NAC) is associated with poor clinical outcomes. This study aimed to investigate factors associated with loss of skeletal muscle mass during NAC in older patients with LAEC. This was a single-center exploratory prospective cohort study.
View Article and Find Full Text PDFThis study investigated whether machine learning (ML) has better predictive accuracy than logistic regression analysis (LR) for gait independence at discharge in subacute stroke patients (n = 843) who could not walk independently at admission. We developed prediction models using LR and five ML algorithms-specifically, the decision tree (DT), support vector machine, artificial neural network, ensemble learning, and k-nearest neighbor methods. Functional Independence Measure sub-items were used to evaluate the ability to walk independently.
View Article and Find Full Text PDFObjective Coronavirus disease 2019 (COVID-19) became a global public health threat, and local public health centers in Japan implemented an infectious disease response to support patients. The response was subsequently modified to meet the needs for each of the five waves of infection. The study aim was to analyze the characteristics and courses of the disease in patients with COVID-19 at a single public health center.
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