Healthcare-associated infections (HAIs) pose significant challenges to healthcare systems worldwide. Epidemiological data are essential for effective HAI control; however, comprehensive information on HAIs in Japanese hospitals is limited. This study aimed to provide an overview of HAIs in Japanese hospitals.

A multicenter point-prevalence survey (PPS) was conducted in 27 hospitals across the Aichi Prefecture between February and July 2020. This study encompassed diverse hospital types, including community, university, and specialized hospitals. Information on the demographic data of the patients, underlying conditions, devices, HAIs, and causative organisms was collected.

A total of 10,199 patients (male: 5,460) were included in this study. The median age of the patients was 73 (interquartile range [IQR]: 56–82) years, and the median length of hospital stay was 10 (IQR: 4–22) days. HAIs were present in 6.6% of patients, with pneumonia (1.83%), urinary tract infection (1.09%), and surgical site infection (SSI) (0.87%) being the most common. The prevalence of device-associated HAIs was 0.91%. Staphylococcus aureus (17.3%), Escherichia coli (17.1%), and Klebsiella pneumoniae (7.2%) were the primary pathogens in 433 organisms; 29.6% of the Enterobacterales identified showed resistance to third-generation cephalosporins. Pneumonia was the most prevalent HAI in small-to-large hospitals (1.69%–2.34%) and SSI, in extra-large hospitals (over 800 beds, 1.37%).

This study offers vital insights into the epidemiology of HAIs in hospitals in Japan. These findings underscore the need for national-level PPSs to capture broader epidemiological trends, particularly regarding healthcare challenges post-COVID-19.

To investigate the relationship between the severities of symptom dimensions in obsessive-compulsive disorder (OCD) and white matter alterations.

We applied tract-based spatial statistics for diffusion tensor imaging (DTI) acquired by 3T magnetic resonance imaging. First, we compared fractional anisotropy (FA) between 20 OCD patients and 30 healthy controls (HC). Then, applying whole brain analysis, we searched the brain regions showing correlations between the severities of symptom dimensions assessed by Obsessive-Compulsive Inventory-Revised and FA in all participants. Finally, we calculated the correlations between the six symptom dimensions and multiple DTI measures [FA, axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD)] in a region-of-interest (ROI) analysis and explored the differences between OCD patients and HC.

There were no between-group differences in FA or brain region correlations between the severities of symptom dimensions and FA in any of the participants. ROI analysis revealed negative correlations between checking severity and left inferior frontal gyrus white matter and left middle temporal gyrus white matter and a positive correlation between ordering severity and right precuneus in FA in OCD compared with HC. We also found negative correlations between ordering severity and right precuneus in RD, between obsessing severities and right supramarginal gyrus in AD and MD, and between hoarding severity and right insular gyrus in AD.

Our study supported the hypothesis that the severities of respective symptom dimensions are associated with different patterns of white matter alterations.