To improve the environment of the inpatient ward, we paid attention to the patients' environment related to eating. For this purpose, studies were made to determine what would be the most suitable height of the dining table. In view of the present situation, we started by putting together bed tables in sick rooms. Nine inpatients cooperated in this project. After trial and error, we found the most suitable height of the table. It was 1/3 of the patient's sitting height plus 4 to 5 cm. Next, we tried to make an adjustable table in the dining hall for a patient. Any table in the dining hall did not suit the patient. The result was he was satisfied with it. All the patients said they became able to see foods on the table with ease. They also became able to finish eating faster than before without dropping their food, and did not leave half-eaten. Some patients who had habitually dozed off while eating before did so less frequently.
Table, NOS ; HEIGHT ; Patients ; Eating ; Environment

Objective: Since the conventional drip-infusion method for measuring inulin clearance (Cin) has problems related to its accuracy and performance, we explored a more accurate and concise method by rapid intravenous injection of a newly developed inulin fraction (Inulead^®), in which spot urine sampling was omitted and the administration period of inulin was shortened from 120 to 5 minutes. Patients and Methods: Twenty seven patients (M/F: 15/12, 67.8 ± 12.9 years old) admitted to the Nephrology ward were enrolled in this study. Inulead^®, 1500 mg dissolved in 150 mL of saline, was intravenously administered in 5 minutes. Then, sequential blood samplings and urine collection were performed for 24 hours. Cins were calculated by the following three formulae: (1) a pharmacokinetic analysis using a two compartments model based on the plasma inulin concentration to determine Cin, which was the administered dose divided by the area under the curve (AUC) from 0 to ∞, (2) urinary inulin excretion divided by the AUC for 24 hours and (3) the Bayesian method using a three-point set of plasma inulin concentrations to predict the change of inulin concentration to determine Cin as in 1. These Cins were compared with levels of estimated GFR (eGFR), creatinine clearance (Ccr), serum β2 microglobulin (β2MG) and serum cystatin C (Cys C). Results: Cins obtained by the above three methods were well correlated with each other (r. = 0.9088 – 0.9998) and with eGFR (r. = 0.8286 – 0.8650), Ccr (r. = 0.821 – 0.864), 1/β2MG (r. = 0.631 –0.752) and 1/CysC (r. = 0.830 – 0.857). The averaged differences of each Cin from eGFR were distributed between –4.4 and –4.5 mL/min. Conclusion: Since the Cins by rapid inulin injection showed satisfactory correlation and differences with other GFR parameters, this method will be a good alternative to the drip infusion method, and may reduce the burden of patients and medical staff.

OBJECTIVE: Many studies have reported pre-processing effects for brain volumetry; however, no study has investigated whether non-parametric non-uniform intensity normalization (N3) correction processing results in reduced system dependency when using an atlas-based method. To address this shortcoming, the present study assessed whether N3 correction processing provides reduced system dependency in atlas-based volumetry. MATERIALS AND METHODS: Contiguous sagittal T1-weighted images of the brain were obtained from 21 healthy participants, by using five magnetic resonance protocols. After image preprocessing using the Statistical Parametric Mapping 5 software, we measured the structural volume of the segmented images with the WFU-PickAtlas software. We applied six different bias-correction levels (Regularization 10, Regularization 0.0001, Regularization 0, Regularization 10 with N3, Regularization 0.0001 with N3, and Regularization 0 with N3) to each set of images. The structural volume change ratio (%) was defined as the change ratio (%) = (100 x [measured volume - mean volume of five magnetic resonance protocols] / mean volume of five magnetic resonance protocols) for each bias-correction level. RESULTS: A low change ratio was synonymous with lower system dependency. The results showed that the images with the N3 correction had a lower change ratio compared with those without the N3 correction. CONCLUSION: The present study is the first atlas-based volumetry study to show that the precision of atlas-based volumetry improves when using N3-corrected images. Therefore, correction for signal intensity non-uniformity is strongly advised for multi-scanner or multi-site imaging trials.
Adult ; Atlases as Topic ; Brain Mapping/*methods ; Female ; Humans ; Image Enhancement/methods ; Image Processing, Computer-Assisted/*methods ; Magnetic Resonance Imaging/*methods ; Male ; Middle Aged ; Software ; Statistics, Nonparametric