Background: Circadian rhythms have gained importance in the field of psychiatry because of their involvement in overall body functions and their association with mental health. This study investigated the relationship between circadian rhythms, depressive symptoms, anxiety symptoms, and chronotype. Methods: Circadian rhythms, depression and anxiety symptoms, hypomanic symptoms, quality of life, hopelessness, and chronotype were evaluated in 30 healthy adults. Results: Multiple linear regression analysis revealed statistically significant correlations between Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scores and certain factors. Particularly, Quick Inventory of Depressive Symptomatology (p=0.009), Beck Anxiety Inventory (p=0.03), and Morningness-Eveningness Questionnaire (p<0.001) were found to be significant predictors of the degree of circadian rhythm disruption, as measured by BRIAN. The results showed that irregularity in circadian rhythms was associated with depression and anxiety symptoms, and no significant correlation was observed between chronotype and irregularity in the circadian rhythms. The findings indicated that misalignment between an individual’s chronotype and societal norms, such as work schedules and meal times, could contribute to circadian rhythm disruption, particularly in individuals with an evening chronotype. In contrast, this disruption was associated with an increased risk of anxiety and depression. Conclusion These findings provide important information to better understand the impact of circadian rhythms on mental health.

Background: Circadian rhythms have gained importance in the field of psychiatry because of their involvement in overall body functions and their association with mental health. This study investigated the relationship between circadian rhythms, depressive symptoms, anxiety symptoms, and chronotype. Methods: Circadian rhythms, depression and anxiety symptoms, hypomanic symptoms, quality of life, hopelessness, and chronotype were evaluated in 30 healthy adults. Results: Multiple linear regression analysis revealed statistically significant correlations between Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scores and certain factors. Particularly, Quick Inventory of Depressive Symptomatology (p=0.009), Beck Anxiety Inventory (p=0.03), and Morningness-Eveningness Questionnaire (p<0.001) were found to be significant predictors of the degree of circadian rhythm disruption, as measured by BRIAN. The results showed that irregularity in circadian rhythms was associated with depression and anxiety symptoms, and no significant correlation was observed between chronotype and irregularity in the circadian rhythms. The findings indicated that misalignment between an individual’s chronotype and societal norms, such as work schedules and meal times, could contribute to circadian rhythm disruption, particularly in individuals with an evening chronotype. In contrast, this disruption was associated with an increased risk of anxiety and depression. Conclusion These findings provide important information to better understand the impact of circadian rhythms on mental health.

Background: Circadian rhythms have gained importance in the field of psychiatry because of their involvement in overall body functions and their association with mental health. This study investigated the relationship between circadian rhythms, depressive symptoms, anxiety symptoms, and chronotype. Methods: Circadian rhythms, depression and anxiety symptoms, hypomanic symptoms, quality of life, hopelessness, and chronotype were evaluated in 30 healthy adults. Results: Multiple linear regression analysis revealed statistically significant correlations between Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scores and certain factors. Particularly, Quick Inventory of Depressive Symptomatology (p=0.009), Beck Anxiety Inventory (p=0.03), and Morningness-Eveningness Questionnaire (p<0.001) were found to be significant predictors of the degree of circadian rhythm disruption, as measured by BRIAN. The results showed that irregularity in circadian rhythms was associated with depression and anxiety symptoms, and no significant correlation was observed between chronotype and irregularity in the circadian rhythms. The findings indicated that misalignment between an individual’s chronotype and societal norms, such as work schedules and meal times, could contribute to circadian rhythm disruption, particularly in individuals with an evening chronotype. In contrast, this disruption was associated with an increased risk of anxiety and depression. Conclusion These findings provide important information to better understand the impact of circadian rhythms on mental health.

Background: Circadian rhythms have gained importance in the field of psychiatry because of their involvement in overall body functions and their association with mental health. This study investigated the relationship between circadian rhythms, depressive symptoms, anxiety symptoms, and chronotype. Methods: Circadian rhythms, depression and anxiety symptoms, hypomanic symptoms, quality of life, hopelessness, and chronotype were evaluated in 30 healthy adults. Results: Multiple linear regression analysis revealed statistically significant correlations between Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scores and certain factors. Particularly, Quick Inventory of Depressive Symptomatology (p=0.009), Beck Anxiety Inventory (p=0.03), and Morningness-Eveningness Questionnaire (p<0.001) were found to be significant predictors of the degree of circadian rhythm disruption, as measured by BRIAN. The results showed that irregularity in circadian rhythms was associated with depression and anxiety symptoms, and no significant correlation was observed between chronotype and irregularity in the circadian rhythms. The findings indicated that misalignment between an individual’s chronotype and societal norms, such as work schedules and meal times, could contribute to circadian rhythm disruption, particularly in individuals with an evening chronotype. In contrast, this disruption was associated with an increased risk of anxiety and depression. Conclusion These findings provide important information to better understand the impact of circadian rhythms on mental health.

Background: Circadian rhythms have gained importance in the field of psychiatry because of their involvement in overall body functions and their association with mental health. This study investigated the relationship between circadian rhythms, depressive symptoms, anxiety symptoms, and chronotype. Methods: Circadian rhythms, depression and anxiety symptoms, hypomanic symptoms, quality of life, hopelessness, and chronotype were evaluated in 30 healthy adults. Results: Multiple linear regression analysis revealed statistically significant correlations between Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) scores and certain factors. Particularly, Quick Inventory of Depressive Symptomatology (p=0.009), Beck Anxiety Inventory (p=0.03), and Morningness-Eveningness Questionnaire (p<0.001) were found to be significant predictors of the degree of circadian rhythm disruption, as measured by BRIAN. The results showed that irregularity in circadian rhythms was associated with depression and anxiety symptoms, and no significant correlation was observed between chronotype and irregularity in the circadian rhythms. The findings indicated that misalignment between an individual’s chronotype and societal norms, such as work schedules and meal times, could contribute to circadian rhythm disruption, particularly in individuals with an evening chronotype. In contrast, this disruption was associated with an increased risk of anxiety and depression. Conclusion These findings provide important information to better understand the impact of circadian rhythms on mental health.

Background: The initiation of sodium-glucose cotransporter-2 inhibitors (SGLT2i) typically leads to a reversible initial dip in estimated glomerular filtration rate (eGFR). The implications of this phenomenon on clinical outcomes are not well-defined. Methods: We searched MEDLINE, Embase, and Cochrane Library from inception to March 23, 2023 to identify randomized controlled trials and cohort studies comparing kidney and cardiovascular outcomes in patients with and without initial eGFR dip after initiating SGLT2i. Pooled estimates were calculated using random-effect meta-analysis. Results: We included seven studies in our analysis, which revealed that an initial eGFR dip following the initiation of SGLT2i was associated with less annual eGFR decline (mean difference, 0.64; 95% confidence interval [CI], 0.437 to 0.843) regardless of baseline eGFR. The risk of major adverse kidney events was similar between the non-dipping and dipping groups but reduced in patients with a ≤10% eGFR dip (hazard ratio [HR], 0.915; 95% CI, 0.865 to 0.967). No significant differences were observed in the composite of hospitalized heart failure and cardiovascular death (HR, 0.824; 95% CI, 0.633 to 1.074), hospitalized heart failure (HR, 1.059; 95% CI, 0.574 to 1.952), or all-cause mortality (HR, 0.83; 95% CI, 0.589 to 1.170). The risk of serious adverse events (AEs), discontinuation of SGLT2i due to AEs, kidney-related AEs, and volume depletion were similar between the two groups. Patients with >10% eGFR dip had increased risk of hyperkalemia compared to the non-dipping group. Conclusion Initial eGFR dip after initiating SGLT2i might be associated with less annual eGFR decline. There were no significant disparities in the risks of adverse cardiovascular outcomes between the dipping and non-dipping groups.

Traditional acute kidney injury (AKI) classifications, which are centered around semi-anatomical lines, can no longer capture the complexity of AKI. By employing strategies to identify predictive and prognostic enrichment targets, experts could gain a deeper comprehension of AKI’s pathophysiology, allowing for the development of treatment-specific targets and enhancing individualized care. Subphenotyping, which is enriched with AKI biomarkers, holds insights into distinct risk profiles and tailored treatment strategies that redefine AKI and contribute to improved clinical management. The utilization of biomarkers such as N-acetyl-β-D-glucosaminidase, tissue inhibitor of metalloprotease-2·insulin-like growth factor-binding protein 7, kidney injury molecule-1, and liver fatty acid-binding protein garnered significant attention as a means to predict subclinical AKI. Novel biomarkers offer promise in predicting persistent AKI, with urinary motif chemokine ligand 14 displaying significant sensitivity and specificity. Furthermore, they serve as predictive markers for weaning patients from acute dialysis and offer valuable insights into distinct AKI subgroups. The proposed management of AKI, which is encapsulated in a structured flowchart, bridges the gap between research and clinical practice. It streamlines the utilization of biomarkers and subphenotyping, promising a future in which AKI is swiftly identified and managed with unprecedented precision. Incorporating kidney biomarkers into strategies for early AKI detection and the initiation of AKI care bundles has proven to be more effective than using care bundles without these novel biomarkers. This comprehensive approach represents a significant stride toward precision medicine, enabling the identification of high-risk subphenotypes in patients with AKI.

Acute kidney disease (AKD) is a critical transitional period between acute kidney injury and chronic kidney disease. The incidence of AKD following acute kidney injury is approximately 33.6%, and it can occur without identifiable preceding acute kidney injury. The development of AKD is associated with increased risks of chronic kidney disease, dialysis, and mortality. Biomarkers and subphenotypes are promising tools to predict prognosis in AKD. The complex clinical situations in patients with AKD necessitate a comprehensive and structured approach, termed “KAMPS” (kidney function check, advocacy, medications, pressure, sick day protocols). We introduce “MAND-MASS,” an acronym devised to summarize the reconciliation of medications during episodes of acute illness, as a critical component of the sick day protocols at AKD. A multidisciplinary team care, consisting of nephrologists, pharmacists, dietitians, health educators, and nurses, is an optimal model to achieve the care bundle in KAMPS. Although the evidence for patients with AKD is still lacking, several potential pharmacological agents may improve outcomes, including but not limited to angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, mineralocorticoid receptor antagonists, sodium-glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists. In conclusion, accurate prognosis prediction and effective treatment for AKD are critical yet unmet clinical needs. Future studies are urgently needed to improve patient care in this complex and rapidly evolving field.

Objectives: ：Based on the fact that cognitive functions decline known as comorbid symptoms of depression can precede depression, this study seeks to observe the effects of depressive symptoms and anxiety symptoms on cognitive function in healthy subjects. Methods: ：To recruit 50 general populations to evaluate cognitive and clinical symptoms and to find out the effects of clinical symptoms on cognitive functions, Pearson correlation and multivariate regression were conducted. Correlation analysis of subdomain cognitive function was conducted for reliability analysis. Results: ：Trail making test-B that evaluates the execution function correlates with depressive symptoms (r=0.300, p=0.03) and age (r=0.323, p=0.02). Depressive symptoms (β=0.304, p=0.03) and age (β=0.335, p=0.01) were significantly related to Trail making test -B (Adjusted R2 =0.148). Subjective cognitive tests correlates with anxiety symptoms (r=0.434, p=0.002). In the correlation between cognitive functional items, Subjective cognitive tests was found to be correlated with other test except Spotter. Conclusions ：In this study, depressive symptoms contribute independently to executive functions in addition to demographic characteristics such as age and duration of education. Given that cognitive decline is a common long-term clinical outcome in depression, we expect active early intervention and evaluation of cognitive function to be helpful.

No abstract available.
Elasticity Imaging Techniques ; Elasticity ; Tendons ; Ultrasonography