We encountered a case of syndrome of inappropriate antidiuretic hormone secretion (SIADH) caused by duloxetine, serotonin and norepinephrine reuptake inhibitor (SNRI). A 74-year-old woman complaining of severe lethargy was transferred to our emergency department. Her serum sodium level was 109 mEq/L. Plasma hypo-osmolality with urine normo-osmolality was observed, indicating SIADH. Her essential hypertension had long been treated with telmisartan, and she had just started duloxetine 20 mg/day for chronic musculoskeletal pain 4 days prior to admission. On prescribing duloxetine in the primary care setting, clinicians should be aware of the possibility of duloxetine-induced hyponatremia, particularly in combination with telmisartan.

BACKGROUND: Counting breaths for a full minute for all patients to determine breathing frequency could result in excessive work load for many medical staff. The aim of this study was to verify the agreement of 2 quick screening methods with counting breaths for a full minute. METHODS: We conducted a cross-sectional study to compare the breathing frequency estimates from a 15-s period multiplied by 4 (15-s quadruple) and a value which is 60 divided by the time measured for a single breath (ie, breathing time measurement) against counting breaths for a full minute. Subjects of this study included 58 nurses; 1 nurse acted as the patient, and 57 nurses counted the patient's breathing frequency using each of the 3 methods. Each nurse examiner performed the breathing time measurement, the 15-s quadruple method, and the 1-min breath count, in that order. We performed correlation and Bland-Altman analyses between the 15-s quadruple and 1-min breath count methods, and between the breathing time measurement and 1-min breath count methods. Using paired t tests, we compared the absolute difference between the 15-s quadruple and the 1-min breath count methods to the absolute difference between the breathing time measurement and the 1-min breath count methods. RESULTS: The coefficient of correlation between the 15-s quadruple and 1-min breath count was 0.83, while the coefficient of correlation between the breathing time measurement and 1-min breath count methods was 0.90. Brand-Altman analysis indicated that the bias of 15-s quadruple method to the 1-min breath count method was −2.1 ± 2.9 SD, and the limit of agreement was ±5.6; the bias of the breathing time measurement method to the 1-min breath count method was 0.5 ± 2.6 SD, and the limit of agreement was ±5.0. There were statistically significant differences between the 15-s quadruple and 1-min breath count methods and between the breathing time measurement and 1-min breath count methods ( P < .001). CONCLUSIONS: The breathing time measurement method had better agreement with the 1-min breath count method than did the 15-s quadruple method in this study setting.

Objective: This study clarifies the longitudinal association between working from home and work functioning impairment among desk workers. Methods: Nationwide surveys were conducted from 2020 to 2022, analyzing 3532 desk workers who never worked from home before the COVID-19 pandemic. Results: The adjusted hazard ratio (95% confidence intervals) of working from home at least once a month or more with the composite result (incidence of work functioning or reduced work participation) was 1.22 (1.04–1.43). The cause-specific hazard ratios of work functioning impairment and reduced work participation were 1.30 (1.04–1.61) and 1.13 (0.86–1.47). Conclusions: Working from home could be longitudinally associated with work functioning impairment, especially for workers who are in higher positions. Workers and policy makers should be aware of the potential risk of working from home regarding presenteeism.

Background: Since the association between disparity in physician distribution and specific healthcare outcomes is poorly documented, we aimed to clarify the association between physician maldistribution and cerebrovascular disease (CeVD), a high-priority health outcome in Japan. Methods: In this cross-sectional study, we conducted multivariable regression analysis with the Physician Uneven Distribution Index (PUDI), a recently developed and adopted policy index in Japan that uniquely incorporates the gap between medical supply and demand, as the independent variable and CeVD death rate as the dependent variable. Population density, mean annual income, and prevalence of hypertension were used as covariates. Results: The coefficient of the PUDI for the CeVD death rate was −0.34 (95%CI: −0.49–−0.19) before adjusting for covariates and was −0.19 (95%CI: −0.30–−0.07) after adjusting. The adjusted R squared of the analysis for the PUDI was 0.71 in the final model. However, the same multivariable regression model showed that the number of physicians per 100,000 people (NPPP) was not associated with the CeVD death rates before or after adjusting for the covariates. Conclusion: Incorporating the gap between the medical supply and demand in physician maldistribution indices could improve the responsiveness of the index for assessing the disparity in healthcare outcomes.