Aim Most predictive models for falls developed previously were awkward to use because of their complexity. We developed and validated a new easier-to-use predictive model for falls of adult inpatients using easily accessible information including the public ADL scale in Japan. Methods We retrospectively analyzed data from Japanese adult inpatients in an acute care hospital from 2012 to 2015. Two-thirds of cases were randomly extracted to the test set and one-third to the validation set. Data including age, sex, activity of daily living (ADL), public scales in Japan of ADL “bedriddenness rank,” and cognitive function in daily living, hypnotic medications, previous falls, and emergency admission were derived from hospital records. Falls during hospitalization were identified from incident reports. Two predictive models were created by multivariate analysis, each of which was assessed by area under the curve (AUC) from the validation set. Results A total of 7,858 adult participants were available. The AUC of model 1, using 13 factors—age, sex (male), emergency admission, use of ambulance, referral letter, admission to Neurosurgery, admission to Internal Medicine, use of hypnotic medication, permanent damage by stroke, history of falls, visual impairment, independence of eating, and bedriddenness rank—with low mutual collinearity and showing significant relationship by multivariate logistic regression analysis, was 0.789 in the validation set. The AUC of parsimonious model 2, using age and seven factors—sex (male), emergency admission, admission to Neurosurgery, use of hypnotic medication, history of falls, independence of eating, and bedriddenness rank—showing statistical significance by multivariate analysis in model 1, was 0.787 in the validation set. Conclusions We proposed new predictive models for inpatients’ fall using the public ADL scales in Japan, which had a higher degree of usability because of their use of simpler and fewer (8 or 13) predictors, especially parsimonious model 2.

We developed a prediction rule for the identification of LSS based on self-reported patient information alone. Further, the likelihood ratio in the low-risk category was sufficiently low. This rule may be used for screening of LSS.

BackgroundPhysician-scientists play key roles in biomedical research across the globe, yet prior studies have found that it is increasingly difficult to recruit and retain physician-scientists in research careers. Access to quality research mentorship may help to ameliorate this problem in the U.S., but there is virtually no information on mentoring in academic medicine in Japan. We conducted a survey to determine the availability and quality of mentoring relationships for trainee physician-scientists in Japan.MethodsWe surveyed 1700 physician-scientists in post-graduate research training programs in 6 academic medical centers in Japan about mentorship characteristics, mentee perceptions of the mentoring relationship, and attitudes about career development.ResultsA total of 683 potential physician-scientist mentees completed the survey. Most reported that they had a departmental mentor (91%) with whom they met at least once a month; 48% reported that they were very satisfied with the mentoring available to them. Mentoring pairs were usually initiated by the mentor (85% of the time); respondents identified translational research skills (55%) and grant writing (50%) as unmet needs. Mentoring concerning long-term career planning was significantly associated with the intention to pursue research careers, however this was also identified by some mentees as an unmet need (35% desired assistance; 15% reported receiving it).ConclusionsMore emphasis and formal training in career mentorship may help to support Japanese physician-scientist mentees to develop a sense of self-efficacy to pursue and stay in research careers.

Objective This study was designed to compare the association between the body mass index (BMI) and symptoms of gastroesophageal reflux disease (GERD) in allegedly normal subjects undergoing regular medical checkups and subjects diagnosed with non-alcoholic fatty liver disease (NAFLD). Additionally, the correlation between the BMI and GERD symptoms was evaluated in subjects with NAFLD. Methods This study included 50 patients with NAFLD and 228 normal subjects evaluated during regular medical checkups. The height, weight, BMI, frequency scale for the symptoms of GERD (FSSG), and serum concentrations of triglycerides and γ-GTP were compared between the two groups. In the NAFLD group, aspartate aminotransferase (AST) and alanine aminotransferase (ALT) concentrations were measured and insulin resistance was calculated using the quantitative insulin sensitivity check index (QUICKI). Results The total FSSG score moderately correlated with the BMI in the NAFLD group (r=0.342, p= 0.015), but correlated negatively in the control group (r=-0.014, p=0.831). The FSSG score in the NAFLD group also negatively correlated with the AST/ALT ratio (r=-0.319) and insulin resistance calculated using the QUICKI score (r=-0.288). The BMI in the NAFLD group moderately correlated with the acid-reflux related score on the FSSG (r=0.389), and both the AST/ALT ratio (r=-0.344) and QUICKI score (r=-0.330) negatively correlated with the dyspepsia score on the FSSG. Conclusion Obesity evaluated by the BMI was a significant risk factor for the exacerbation of GERD symptoms in subjects with NAFLD.

MRI of preterm infants at term commonly reveals subtle brain lesions such as diffuse white matter injury, which are linked with later cognitive impairments. The timing and mechanism of such injury remains unclear. The reduced scattering coefficient of near-infrared light (μs’) has been shown to correlate linearly with gestational age in neonates. To identify clinical variables associated with brain μs’, 60 preterm and full-term infants were studied within 7 days of birth. Dependence of μs’ obtained from the frontal head on clinical variables was assessed. In the univariate analysis, smaller μs’ was associated with antenatal glucocorticoid, emergency Caesarean section, requirement for mechanical ventilation, smaller gestational age, smaller body sizes, low 1- and 5-minute Apgar scores, higher cord blood pH and PO2, and higher blood HCO3− at the time of study. Multivariate analysis revealed that smaller gestational age, requirement for mechanical ventilation, and higher HCO3− at the time of study were correlated with smaller μs’. Brain μs’ depended on variables associated with physiological maturation and pathological conditions of the brain. Further longitudinal studies may help identify pathological events and clinical conditions responsible for subtle brain injury and subsequent cognitive impairments following preterm birth.