Bidirectional relations between depression symptoms and chronic kidney disease

The joint effect of triglyceride-glucose related indices and depression on cardio-renal-metabolic multimorbidity among middle-aged and older Chinese adults

BACKGROUND

The triglyceride-glucose (TyG) related indices, indicators for insulin resistance, and depression are both established predictors of cardiovascular diseases. However, the single and combined effect of TyG related indices and depression on cardio-renal-metabolic multimorbidity (CRMM) risk remain uncertain.

METHODS

This study included 7848 respondents aged 45 years and older, derived from the China Health and Retirement Longitudinal Study (CHARLS) 2011, 2020. Cox regression was used to determine independent and joint effect of TyG indices and depression on CRMM incidence. Restricted cubic spline (RCS) was further performed to identify associations of TyG indices with CRMM.

RESULTS

Results demonstrated that both TyG indices (including TyG-WC, TyG-WHtR, and TyG-BMI) and depression were independently linked to increased risk of CRMM. The RCS model further confirmed the significant dose-response relationships. Participants experiencing both elevated TyG indices and depression exhibited the highest CRMM risk, in contrast to those with neither condition (HR = 1.630, 95%CI: 1.467-1.811; HR = 1.631, 95%CI: 1.465-1.817; HR = 1.582, 95%CI: 1.419-1.764; HR = 1.532, 95%CI: 1.372-1.711, respectively).

LIMITATIONS

Firstly, disease diagnoses in the CHARLS were self-reported, which might cause recall bias. Then, data was specific to the population over 45 years old, so the results may not apply broadly to all populations.

CONCLUSIONS

This study revealed both the single and joint effect of TyG, TyG-WC, TyG-WHtR, as well as TyG-BMI and depression on CRMM risk. Combined evaluations of the TyG index with depression screening is crucial for identifying related risk factors and enhancing prevention strategies against CRMM.

The Exposome and the Kidney: A Silent Dialogue Shaping Chronic Kidney Disease

Genetic predisposition accounts for less than 20% of the global disease burden, highlighting the substantial role of environmental factors in health outcomes. In chronic kidney disease (CKD), a growing global prevalence, understanding the interplay between genes and the environment is crucial. Emerging research in the exposome and genome underscores how environmental exposures interact with genetic variants to influence the development and progression of CKD. The term "exposome" encompasses a variety of factors, including personal behaviors like smoking, a sedentary lifestyle, and making specific dietary choices (such as consuming ultra-processed foods, sugar, or fat). It also includes broader determinants such as pesticides, air, water, and soil pollution, nanoplastics, global warming, stressful life events, and socioeconomic status. Research on the exposome significantly increases our understanding of toxicological processes and individual variations in susceptibility to environmental stressors. This narrative review aims to explore the exposome associated with CKD, highlight key environmental exposures in its development, and discuss potential preventive and therapeutic strategies informed by these exposure-related factors.

Development and validation of a predictive model for depression risk in Chinese obese adults

Objective

To construct a prediction model for the risk of depression in the obese population, aiming to facilitate the early identification of high-risk individuals and guide personalized preventive interventions.

Methods

This study was based on the data from the China Health and Retirement Longitudinal Study (CHARLS 2015), the Center for Epidemiologic Studies Depression Scale-10 (CES-D10) to assess the depression of obese patients, Lasso regression and multivariable logistic regression were used to select predictors, the construction of a nomogram model, and the use of the random splitting method divided into a training set (n = 974) and a validation set (n = 418) by the 7:3 method, and the model was evaluated by the ROC curves and the AUC, the H-L goodness-of-fit test, the calibration graphs, and the clinical decision-making curve to assess the model.

Results

A total of 1,392 obese patients were finally included, with a prevalence of depression of 32.68%. Age, respiratory function, renal disease, digestive disease, grip strength, rheumatism and arthritis, and sleep duration were selected to construct the predictive nomogram model of depression risk in obese patients, and the AUCs of the training set and validation set were 0.715 (95% CI = 0.681-0.749) and 0.716 (95% CI = 0.665-0.767). This suggests that the model has moderate discriminatory power. Respectively, the H-L test was statistically insignificant (p > 0.05, H-L test; p > 0.05). Goodness of fit, calibration curves showed significant agreement between the model and actual observations, and clinical decision curves indicated good model calibration and net benefit.

Conclusion

The model constructed in this study has good efficacy in predicting the occurrence of depression in the obese population and can be used for the early identification of high-risk groups and the adoption of targeted preventive measures to reduce the risk of depression.

Development and validation of a nomogram for predicting depression risk in patients with chronic kidney disease based on NHANES 2005-2018

BACKGROUND

Depression is common among patients with chronic kidney disease (CKD) and is associated with poor outcomes. This study aims to develop and validate a nomogram for predicting depression risk in patients with CKD.

METHODS

This cross-sectional study utilized data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) database. Participants were randomly divided into training and validation sets (7:3 ratio). A nomogram was developed based on predictors identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression. Model performance was evaluated using ROC curves, calibration curves, and decision curve analysis.

RESULTS

A total of 4414 participants were included. Gender, age, race, poverty-to-income ratio, diabetes mellitus, cardiovascular diseases, trouble sleeping, sleep hours, and smoking were included as predictors in the nomogram. The area under the curve (AUC) of the nomogram for predicting depression risk in patients with CKD was 0.785 (95% CI: 0.761-0.809) in the training set and 0.773 (95% CI: 0.737-0.810) in the validation set. The corrected C-index, calculated using bootstrap resampling, was 0.776, indicating good predictive performance. Calibration curves and decision curve analysis showed good calibration and clinical utility. Subgroup and sensitivity analyses further confirmed the robustness of the nomogram. A web-based risk calculator based on the nomogram was developed to enhance clinical applicability. A flowchart demonstrating the application of the nomogram for risk assessment and clinical decision-making in routine practice is provided.

CONCLUSIONS

This nomogram effectively predicts depression risk in patients with CKD and may serve as a user-friendly tool for the early identification of patients with CKD at high risk for depression using key demographic, comorbid, and lifestyle factors.

Integrative approaches to depression in end-stage renal disease: insights into mechanisms, impacts, and pharmacological strategies

Depression is a frequently overlooked psychiatric symptom in patients with end-stage renal disease (ESRD), seriously affecting their quality of life, risk of death, adherence to treatment, cognitive abilities, and overall health outcomes. The study investigates the prevalence of depression is in ESRD patients, along with the methods for assessment, diagnostic guidelines, underlying factors, consequences, and management strategies. The Beck Depression Inventory (BDI), with an optimal diagnostic cutoff score greater than 14, has been identified as the most accurate for diagnosing depression in ESRD, while emerging tools such as vacancy-driven high-performance metabolic assays show promise for evaluation. Depression contributes to adverse health outcomes by increasing risks of treatment withdrawal, suicide, and cognitive impairment, as well as serving as a predictor of mortality and poor treatment adherence. Even though tricyclic antidepressants and selective serotonin reuptake inhibitors are commonly used, the effectiveness of treatment remains unpredictable because clinical studies often have limitations such as small sample sizes, no randomization, and missing control groups. Innovative approaches, such as nanomaterials and traditional Chinese medicine, have shown therapeutic potential with reduced side effects. Future research should focus on specific high-risk populations, particularly older adults and women under the age of 45, to better tailor interventions. The goal of this research is to improve understanding of depression in ESRD, leading to better patient care, improved quality of life, and superior clinical results.

Depression in chronic kidney disease: Particularities, specific mechanisms and therapeutic considerations, a narrative review

INTRODUCTION

Depression is highly prevalent during chronic kidney disease (CKD) with studies suggesting prevalence rates ranging from approximately one-quarter to half of CKD patients. CKD and depression have a bidirectional relationship, each disorder aggravating the other, leading to more complex and challenging patient management. Depression during CKD is multifactorial and is associated with increased risk of adverse events and hospitalization.

METHODS

We conducted a narrative review of experimental and observational studies in animals and humans, as well as meta-analyses, to explore specific mechanisms of depression in CKD and its treatment.

RESULTS

In depression the gut-brain axis is central. CKD leads to an accumulation of gut-derived uremic toxins. One key factor is the accumulation of tryptophan-derived uremic toxins like kynurenines or indoxyl sulfate, whose serum concentration increases progressively with the stage of CKD (up to 100-fold in stage 5), and which plays an important role in depression mechanisms, by activating aryl hydrocarbon receptor, decreasing brain concentrations of serotonin by approximately 40 %, increasing brain inflammation, via activation of microglia and astrocytes and release of TNFα, IL-6 and NO. Randomized controlled studies found limited or no benefits of antidepressants for depressive symptoms in CKD and hemodialysis patients.

CONCLUSION

Chronic inflammation, in relation to uremic toxin accumulation during CKD, seems to be a complex but important mechanism for treatment resistance in depression. Future research should consider inhibitors of uremic toxins inhibitors and anti-inflammatory molecules as potential therapeutic agents, to improve the prognosis of depression in CKD patients.

Inverse associations of the lifestyle critical 9 with cardiorenal syndrome: the mediating role of the dietary inflammatory index

Background

Cardiorenal syndrome (CRS) represents a burgeoning global health concern characterized by its increasing prevalence. Life's Crucial 9 (LC9), an innovative tool for cardiovascular health assessment, and the Dietary Inflammatory Index (DII), which quantifies diet's impact on body inflammation, have not been previously studied in conjunction regarding their association with CRS.

Objective

This study aims to explore the relationship between LC9 and CRS, using data from the National Health and Nutrition Examination Survey (NHANES), and to examine whether DII serves as a mediator in this association.

Methods

This research included data from 25,792 NHANES participants spanning from 2005 to 2018. The study leverages the dataset's comprehensive representativeness and robust statistical power to ensure generalizable and reliable findings. We employed weighted logistic regression to evaluate the association between LC9 scores and CRS presence, conducted subgroup analyses, and performed mediation analysis to investigate the role of DII.

Results

Our analysis demonstrated a significant inverse relationship between LC9 and CRS. Upon controlling for confounders, each 10-point rise in LC9 correlates with a 26% reduction in CRS prevalence (p < 0.001). Additionally, stratifying LC9 into tertiles with T1 as the reference group revealed that T2 (OR = 0.59, 95% CI = 0.48-0.72, p < 0.001) and T3 (OR = 0.57, 95% CI = 0.38-0.88, p < 0.001) exhibited a strong negative correlation trend. The dose-response curve illustrates a linear relationship between LC9 and CRS; as LC9 increases, the occurrence of CRS decreases. DII shows a significant positive connection with CRS (p < 0.001), but DII indicates a decreasing trend when LC9 rises (β = -0.65, p < 0.001). Mediation analysis reveals that DII mediates the association between LC9 and CRS, with a mediation proportion of 12.5% (p < 0.001).

Conclusion

The findings indicate a robust inverse correlation between LC9 scores and CRS incidence, with DII is associated with this relationship. This suggests potential preventive strategies against CRS through lifestyle modifications guided by LC9.

Association Between Dietary Inflammatory Index and Depression Symptoms in Chronic Kidney Disease

Objective: The study is aimed at investigating the relationship between dietary inflammatory index (DII) score and depression symptoms in chronic kidney disease (CKD), exploring its potential role as an indicator of depression risk and offering new insights into dietary interventions for this vulnerable population. Materials and Methods: The cross-sectional investigation included CKD patients aged ≥ 18 in the 2007-2018 National Health and Nutrition Examination Survey. The Patient Health Questionnaire-9 (PHQ-9) was administered to evaluate depression symptoms. Dietary information was obtained from a 24-h dietary recall interview. The relationship between DII and depression was explored through weighted univariate and multivariate logistic regression models, adjusting for relevant covariates identified via backward selection. Results were expressed as odds ratios (ORs) with 95% confidence intervals (CIs). To further investigate the association, restricted cubic spline (RCS) and subgroup analyses were conducted. Results: Totally, 489 (11.55%) patients with CKD had depression symptoms. A high DII score was linked to elevated depression symptoms incidence in CKD (OR: 1.67, 95% CI: 1.06-2.65). Adjusting all covariates, the relationship between DII score and depression symptoms still existed in patients aged ≥ 60 years (OR: 1.80, 95% CI: 1.16-2.79), males (OR: 2.05, 95% CI: 1.16-3.59), smokers (OR: 1.70, 95% CI: 1.06-2.75), and those without sleep disorders (OR: 1.81, 95% CI: 1.01-3.23). Conclusion: DII score was associated with depression symptoms in patients with CKD. The findings suggest that diet plays a role in mental health, particularly in chronic conditions like CKD. The results underscore the importance of exploring anti-inflammatory dietary interventions to mitigate depression symptoms in this population. Further longitudinal research is necessary to establish causality and determine the efficacy of targeted dietary modifications in CKD patients with depression. Limitations: As a cross-sectional study, causality cannot be inferred from these findings. Additionally, the reliance on self-reported dietary data may introduce bias, and unmeasured confounders could influence the observed associations.

Identification and in vivo functional analysis of a novel missense mutation in GATA3 causing hypoparathyroidism, sensorineural deafness and renal dysplasia syndrome in a Chinese family

PURPOSE

Hypoparathyroidism, sensorineural deafness, and renal dysplasia (HDR) syndrome is a rare autosomal dominant genetic disease associated with mutations in the GATA3 gene, which encodes GATA3 that plays essential roles in vertebrate development. This study aimed to identify and report the pathogenic mutation in GATA3 in a Chinese family diagnosed with HDR syndrome and determine its functional impacts in vivo.

SUBJECTS AND METHODS

The clinical features of a 25-year-old male patient with HDR syndrome and his parents were collected. GATA3 gene exome sequencing and Sanger sequencing were performed on the proband and his family, respectively. Functional analyses of GATA3 were performed using bioinformatics tools and zebrafish assays to determine pathogenicity and phenotype spectrum.

RESULTS

A novel, heterozygous, missense mutation in exon 4 of the GATA3 gene, c.863 G > A, p.Cys288Tyr, in the proband and his mother who presented the complete HDR triad, was predicted to be deleterious by in silico tools. 3D structure modeling showed that the variant caused significant structural changes. In vivo studies using a zebrafish animal model revealed the deleterious impact of the variant on the gill buds, otoliths, and pronephros.

CONCLUSION

We identified a novel missense mutation, GATA3 p.Cys288Tyr, within a family with HDR syndrome and delineated it as a loss-of-function variant in vivo. This expands the spectrum of GATA3 mutations associated with HDR syndrome in the Chinese population and mimics HDR-related changes in vivo.

Trends in prevalence and multimorbidity of metabolic, cardiovascular, and chronic kidney diseases among US adults with depression from 2005 to 2020

BACKGROUND

Comorbid depression and cardiometabolic diseases are prevalent and increase risk of mortality. However, trends in the prevalence and multimorbidity of cardiometabolic diseases in depression are unclear.

METHODS

Data of adults aged ≥20 years with depression from the National Health and Nutrition Examination Survey 2005-2020 were analyzed. Joinpoint regression analysis was used to estimate trends in the prevalence of dyslipidemia, hypertension, diabetes, chronic kidney disease, non-alcoholic fatty liver disease, and cardiovascular disease as well as having ≥3 of these diseases. Differences in the prevalence of these diseases in depression vs no depression were assessed using Poisson regressions after applying propensity score weighting.

RESULTS

A total of 3412 adults with depression were included. The prevalence of cardiometabolic diseases as well as having ≥3 diseases remained high and stable in the overall sample from 2005 to 2020 (P for trend >0.05). In 2017-2020, the prevalence ranged from 17.1 % (95 % CI, 12.7 %-21.5 %) for cardiovascular disease to 58.4 % (95 % CI, 50.4 %-66.3 %) for dyslipidemia; 40.7 % (95 % CI, 34.4 %-46.9 %) had ≥3 diseases. The prevalence of diabetes, cardiovascular disease, and having≥3 diseases was 23 %-85 % higher in adults with depression than those without.

LIMITATIONS

The utilization of self-reported data and/or one-time laboratory measurements may misclassify participants.

CONCLUSIONS

Prevalence of cardiometabolic diseases was high and multimorbidity was common in US adults with depression. Addressing the prevention, treatment, and management of cardiometabolic diseases in depression requires greater public health and clinical attention.

Development of a nomogram for predicting depression risk in patients with chronic kidney disease: an analysis of data from the US National Health and Nutrition Examination Survey, 2007-2014

OBJECTIVES

Depression frequently occurs among individuals suffering from chronic kidney disease (CKD), diminishing life quality considerably while accelerating the disease course. This study aims to create a predictive model to identify patients with CKD at high risk for depression.

DESIGN

Analysis of cross-sectional data.

SETTING

US National Health and Nutrition Examination Survey (2007-2014).

PARTICIPANTS

A total of 2303 patients with CKD (weighted=17 422 083) with complete data were included in the analysis.

OUTCOME MEASURES

We used the least absolute shrinkage and selection operator regression for variable selection and constructed a weighted logistic regression model through stepwise backward elimination based on minimisation of the Akaike information criterion, visualised with a nomogram. Internal validation was conducted using 1000 bootstrap resamples. Model discrimination was assessed using receiver operating characteristic curves, calibration was evaluated using the Hosmer-Lemeshow test and calibration curves, and net benefits and clinical impact were analysed using decision curve analysis and comparative impact chart curves.

RESULTS

The final model included 10 predictors: age, gender, poverty income ratio, body mass index, smoking, sleep time, sleep disorder, chest pain, diabetes and arthritis. The model achieved an area under the curve of 0.776 (95% CI 0.745 to 0.806) with good fit (Hosmer-Lemeshow p=0.805). Interventions within the 0.1-0.6 probability range showed significant benefits.

CONCLUSION

We have crafted a predictive model with good discriminative power that could potentially help clinicians identify patients with CKD at high risk for depression, thereby facilitating early intervention and improving the prognosis of these patients.

Association of depressive symptom trajectories with chronic kidney disease in middle-aged and older adults

INTRODUCTION

This study aimed to investigate the association between trajectories of depressive symptoms and the subsequent risk of chronic kidney disease (CKD) by measuring depressive symptoms repeatedly in older adults with normal renal function.

METHODS

A total of 9650 participants, comprising community-dwelling middle-aged and older adults from the China Health and Retirement Longitudinal Study, were included. Depressive symptoms were assessed at three time points: Wave 1 (2011-2012), Wave 2 (2013-2014), and Wave 3 (2015-2016). Trajectories of depressive symptoms were determined using latent mixed models, and the association between these trajectories and CKD was verified using COX proportional hazards models.

RESULTS

Five trajectory patterns of depressive symptoms were identified: low CESD-10 score (Low-Stable, 3702 participants, 38.36 %), moderate CESD-10 score (Moderate-Stable, 3602 participants, 37.33 %), continuously increasing CESD-10 score from moderate initiation (Moderate-Increasing, 825 participants, 8.55 %), continuously decreasing CESD-10 score from high initiation (High-Decreasing, 1032 participants, 10.69 %), and stable high CESD-10 score (High-stable, 489 participants, 5.07 %). During the two-year follow-up period from Wave 3 to Wave 4 (2017-2018), 420 CKD events occurred. Participants in the Moderate-Stable, Moderate-Increasing, High-Decreasing, and High-Stable groups had an increased risk of developing CKD compared to those in the Low-Stable group, with multivariable-adjusted hazard ratios (95 % confidence interval) were 1.32 (1.02-1.71), 1.68 (1.15-2.45), 2.26 (1.63-3.13), and 3.73 (2.57-5.43), respectively, comparted to those with low-stable trajectory.

CONCLUSION

Middle-aged and older adults with increasing (Moderate-Increasing) and persistent depressive symptoms (including Moderate-Stable, High-Decreasing, and High-Stable) face a higher risk of developing CKD over time.

Healthy Lifestyle Behaviors Attenuate the Effect of Poor Sleep Patterns on Chronic Kidney Disease Risk: A Prospective Study from the UK Biobank

OBJECTIVES

This study aimed to assess the impact of modifiable lifestyle behaviors on the association between sleep patterns and chronic kidney disease (CKD) risk.

METHODS

This study included 294,215 UK Biobank participants initially without CKD, followed until 13 October 2023. Sleep patterns were derived from five sleep factors, including sleep duration, chronotype, insomnia, snoring, and daytime dozing. The healthy lifestyle score (HLS) was newly calculated based on smoking status, physical activity, diet, body mass index, and mental health. Cox's proportional hazards models were used to assess the associations between sleep patterns, HLS, and CKD risk.

RESULTS

A total of 17,357 incident CKD cases were identified during a median follow-up of 14.5 (interquartile range: 13.7-15.3) years. Both sleep patterns and HLS were independently associated with increased CKD risk (p-trend < 0.001). Importantly, the HLS was found to modify the association between sleep patterns and CKD risk (p-interaction = 0.026). Among participants with a low HLS, medium (HR = 1.12; 95% CI 1.05-1.19) and poor sleep patterns (HR = 1.23; 95% CI 1.17-1.30) increased CKD risk to varying degrees, whereas no significant association was observed for a high HLS. Moreover, the combination of a low HLS and poor sleep pattern significantly increased the risk of incident CKD (HR = 2.19; 95% CI 2.00-2.40).

CONCLUSIONS

A high HLS may significantly reduce CKD risk associated with poor sleep, whereas a low HLS may exacerbate this risk. These findings underscore the critical importance of lifestyle interventions as a primary prevention strategy for CKD.

Metabolic dysfunction, rather than obesity, is a risk factor for chronic kidney disease in Chinese population

BACKGROUND

Metabolic dysfunction and obesity are closely related to chronic kidney disease (CKD). However, studies on the relationship between various metabolic syndrome-body mass index (MetS-BMI) phenotypes and the risk of CKD in the Chinese population have not yet been explored.

MATERIALS AND METHODS

Data from the China Health and Retirement Longitudinal Study (CHARLS) 2015 were analyzed in this study. This study enrolled 12,054 participants. Participants were divided into six distinct groups according to their MetS-BMI status. Across the different MetS-BMI groups, the odd ratios (ORs) for CKD were determined using multivariable logistic regression models.

RESULTS

The prevalence of CKD was higher in metabolically unhealthy groups than in the corresponding healthy groups. Moreover, the fully adjusted model showed that all metabolically unhealthy individuals had an increased risk of developing CKD compared to the metabolically healthy normal weight group (OR = 1.62, p = 0.002 for the metabolically unhealthy normal weight group; OR = 1.55, p < 0.001 for the metabolically unhealthy overweight group; and OR = 1.77, p < 0.001 for the metabolically unhealthy obesity group.

CONCLUSIONS

This study is the first to evaluate the relationship between the MetS-BMI phenotype and renal prognosis in the Chinese population. Individuals with normal weights are at different risk of developing CKD depending on their different metabolic phenotypes.

Depression in Cardiac Patients Is a Major Cardiovascular Event Risk Factor: A 12-Month Observational Study

Background: Depression is a known factor in poor cardiovascular outcomes but is often underassessed in cardiac units. This study evaluates the impact of depression on cardiovascular outcomes in patients undergoing cardiac interventions. Methods: The study included 133 patients who underwent uncomplicated procedures for degenerative aortic valve stenosis (n = 40), acute coronary syndrome (n = 29), or chronic coronary artery disease (n = 64). Depression was assessed using the Beck Depression Inventory (BDI) and Hamilton Depression Rating Scale (HAM-D). The primary endpoint was a major adverse cardiac and cerebrovascular event (MACCE). Patients were followed up for 12 months. Cox proportional hazards analysis was used to identify MACCE risk factors. Results: Depression was more frequently screened by HAM-D than BDI (42.9% vs. 30.8%, p < 0.001). During follow-up, 26 (19.5%) MACCEs occurred. In univariate analysis, risk factors included BDI score ≥ 11, HAM-D score ≥ 8, diabetes on insulin, anticoagulant use, atrial fibrillation, and serum creatinine level ≥ 130 µmol/L. Depression in the BDI increased the risk of the MACCE 3.6-fold (95%CI: 1.64-8.0, p = 0.001), whereas in the HAM-D, it increased the risk 4.9-fold (95%CI: 1.97-12.24, p < 0.001). Multivariate analysis showed HAM-D score ≥ 8 as the strongest predictor of MACCE (HR: 3.08, 95%CI: 1.18-8.08). Conclusions: Depression is a common finding in cardiovascular patients, and it is a strong risk factor for one-year cardiovascular mortality and adverse event risk. Therefore, we believe that common guidelines should be elaborated between relevant psychiatry and cardiology scientific societies.

Association between cardiorenal syndrome and depressive symptoms among the US population: a mediation analysis via lipid indices

BACKGROUND

Cardiovascular diseases (CVD), chronic kidney disease (CKD), and lipids are positively correlated with the presence of depressive symptoms. However, investigation into the complex link that exists between cardiorenal syndrome (CRS) and lipid indices and depression remains scarce.

METHODS

This study analyzed data from 11, 729 adults in the National Health and Nutritional Examination Surveys from 2005 to 2018. Weighted regression analysis was employed to examine the relationships between CRS and depression, CRS and the Patient Health Questionnaire-9 score, and lipid indices with depression. The restricted cubic spline analysis was used to determine whether there is a linear association between lipid indices and depression. Smooth curve fitting was employed to illustrate the relationship between lipids, depression, and cardiorenal diseases. Subgroup and sensitivity analyses were also conducted to enhance the stability of the results. Finally, we applied mediation analysis to explore whether the Atherogenic Index of Plasma (AIP), triglyceride glucose (TyG) index, and remnant cholesterol (RC) mediate the association between CRS and depression.

RESULTS

After applying propensity score matching (PSM), 1,509 adults remained in the study. After PSM, more remarkable results were rendered that CRS was associated with depression compared with non-CRS (OR: 1. 240, 95% CI: 1. 237 ~ 1. 243), only-CVD (OR: 0. 646, 95% CI: 0. 644 ~ 0. 649), and only-CKD (OR: 1.432, 95% CI: 1.428 ~ 1.437) in a fully corrected model. Smooth curve fitting shows that the intersection point of the lines of CRS and non-CRS occurs at a higher value on the horizontal axis than the intersection point of the lines representing CVD and non-CVD. In the fully corrected model, AIP, TyG, and RC did not independently mediate the association between CRS and depression.

CONCLUSION

There was a significant association between CRS and depression and a linear relationship between AIP, TyG, and RC and depression. However, the above lipid indicators did not mediate the association between CRS and depression.

Association of depressive symptoms and incident chronic kidney disease in middle-aged and older adults

BACKGROUND

Emerging evidence suggests that depressive symptoms may be a risk factor for the development of Chronic kidney disease (CKD). This study aimed to investigate the association between depressive symptoms and the incidence of CKD in middle-aged and older Chinese adults.

METHODS

We utilized data from the 2011-2020 China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). Incident CKD was defined based on the estimated glomerular filtration rate ≤ 60 mL/min/m2 or self-reported. Cox proportional hazard models were used to estimate the hazard ratio (HR) and 95 % confidence intervals (95 % CI) for incident CKD, adjusting for potential confounders.

RESULTS

Among the 10,996 participants without baseline CKD, 890 developed CKD during a median follow-up of 9.0 years. After adjusting for potential covariates, participants with depressive symptoms had a significantly higher risk of developing CKD compared to those without depressive symptoms (HR: 1.450; 95 % CI: 1.249-1.682). The association remained statistically significant when the CES-D was scored according to the severity of depressive symptoms, i.e., quintiles. A linear positive association between total CES-D score and risk of incident CKD was also found using restricted cubic spline regression (Pfor non-linearity = 0.114).

CONCLUSIONS

Depressive symptoms are significantly associated with an increased risk of incident CKD in middle-aged and older Chinese adults. These findings underscore the importance of mental health screening and interventions in preventing CKD in this population.

Independent and joint influence of depression and advanced lung cancer inflammation index on mortality among individuals with chronic kidney disease

Background

The combined effect of depression and nutritional-inflammatory status on mortality in the chronic kidney disease (CKD) population is unclear.

Methods

We prospectively analyzed 3,934 (weighted population: 22,611,423) CKD participants from the National Health and Nutrition Examination Survey (2007-2018). Depression and nutritional-inflammatory status were assessed with Patient Health Questionnaire 9 (PHQ-9) and Advanced Lung Cancer Inflammation Index (ALI), respectively. Weighted multivariate COX regression models, restricted cubic splines (RCS) models, and stratified analyses were used to investigate the association of PHQ-9 scores and ALI with all-cause mortality.

Results

During a median follow-up of 5.8 years (interquartile range 3.4-8.6 years), a total of 985 patients died (25.0%). Each point increase in a patient's PHQ-9 score increased the risk of all-cause mortality by 4% (HR, 1.04; 95% CI, 1.02-1.06; p < 0.001), in the full adjusted model. However, an increase in ALI levels was associated with a decreased risk. HRs (95% CI) of 0.76 (0.65-0.90), 0.70 (0.57-0.86), and 0.51 (0.41-0.64) in the Q2, Q3, and Q4 of ALI compared with the Q1 of ALI, respectively. In addition, the joint analysis showed that CKD patients without depression and with higher ALI were associated with a reduced risk of all-cause mortality. Namely, patients in the highest ALI group (Q4) without depression had the lowest risk (HR, 0.32; 95% CI, 0.21-0.48). Furthermore, this combined effect was consistent across all subgroups, and no significant interaction was found (p > 0.05 for interaction).

Conclusion

In a nationally representative sample of US patients with CKD, coexisting depression and poorer nutrition-inflammation were associated with a significantly increased risk of all-cause mortality.

The association between patterns of exposure to adverse life events and the risk of chronic kidney disease: a prospective cohort study of 140,997 individuals

Exposure to adverse life events is linked to somatic disorders. The study aims to evaluate the association between adverse events at varying life stages and the risk of chronic kidney disease (CKD), a condition affecting about 10% population worldwide. This prospective cohort study included 140,997 participants from the UK Biobank. Using survey items related to childhood maltreatment, adulthood adversity and catastrophic trauma, we performed latent class analysis to summarize five distinct patterns of exposure to adverse life events, namely "low-level exposure", "childhood exposure", "adulthood exposure", "sexual abuse" and "child-to-adulthood exposure". We used Cox proportional hazard regression to evaluate the association of patterns of exposure to adverse life events with CKD, regression-based mediation analysis to decompose the total effect, and gene-environment-wide interaction study (GEWIS) to identify interactions between genetic loci and adverse life events. During a median follow-up of 5.98 years, 2734 cases of incident CKD were identified. Compared with the "low-level exposure" pattern, "child-to-adulthood exposure" was associated with increased risk of CKD (hazard ratio 1.37, 95% CI 1.14 to 1.65). BMI, smoking and hypertension mediated 11.45%, 9.79%, and 4.50% of this total effect, respectively. Other patterns did not show significant results. GEWIS and subsequent analyses indicated that the magnitude of the association between adverse life events and CKD differed according to genetic polymorphisms, and identified potential underlying pathways (e.g., interleukin 1 receptor activity). These findings underscore the importance of incorporating an individual's psychological encounters and genetic profiles into the precision prevention of CKD.

Identifying the subgroups of depression trajectories among the middle-aged and older Chinese individuals with chronic diseases: an 8-year follow-up study based on CHARLS

Background

Prior studies have demonstrated a prevalent occurrence of depression among the middle-aged and older Chinese individuals with chronic diseases. Nevertheless, there is limited research on the specific subgroups of depression trajectories within this population and the factors influencing these subgroups.

Objective

To explore the changing trajectory and influencing factors of depression in the middle-aged and older individuals with chronic disease in China, and provide the data reference for the health management of the older adult population in China.

Methods

A longitudinal cohort study was conducted using the data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015, 2018, and 2020. A total of 2,178 participants with complete data were included. The level of depression was evaluated using the Center for Epidemiologic Studies Depression Scale (CESD-10). The Latent Class Mixed Models (LCMM) were employed to estimate trajectories of depressive symptoms. The Kruskal-Wallis H test and the Pearson χ 2 test were used to determine the significant factors affecting trajectory grouping. Subsequently, the multinomial logistic regression model was utilized to perform a multifactorial analysis of the variables impacting the trajectory subgroup of change in depressive symptoms.

Results

The LCMM-analysis revealed three distinct subgroups of depression trajectories: the "Low stable group" comprising 36.7% of the sample, the "Medium growth group" comprising 34.4% of the sample, and the "High growth group" comprising 28.9% of the sample. Among the baseline characteristics of different depression trajectory subgroups, there were significant differences in gender, residence, education, marital status, social activity participation, number of chronic diseases, smoking status, BMI, midday napping (minutes) and nighttime sleep duration (hours). Through multiple logistic regression analysis, our findings demonstrate that among the middle-aged and older Chinese individuals with chronic diseases, the following individuals should be the key groups for the prevention and treatment of depressive symptoms: Those who are young, female, residing in rural areas, having primary school education and below, being single, not participating in social activities, suffering from multiple chronic diseases, and having shorter naps and sleeping at night.

Conclusion

There is heterogeneity in the subgroups of depression trajectories among the Chinese middle-aged and older individuals with chronic diseases. The focus should be on the distinct characteristics of various trajectories of depression within the realm of health management.

The Mediating Effect of Symptom Burden in the Depression and Quality of Life in Patients with Maintenance Hemodialysis

Objective

To investigate current status of quality of life and the association between depression and symptom burden in a sample of Chinese maintenance hemodialysis (MHD) patients.

Methods

A self-designed patient general information questionnaire, disease-related information questionnaire, dialysis patient symptom burden scale, depression scale, and quality of survival scale were used to investigate 380 maintenance haemodialysis patients in haemodialysis centres. A regression model of the factors affecting the quality of survival was established using structural equation modelling.

Results

The regression model data had a high goodness of fit: c2/df = 4.736, RMSEA = 0.099, GFI = 0.918, CFI = 0.972, TLI = 0.962, SRMR = 0.0469. Structural equation model analysis showed that depression had a positive predictive effect on symptom burden, β = 0.398, P < 0.001; Symptom burden had a negative predictive effect on the quality of life, β =-0.851, P < 0.001; and Depression had a negative predictive effect on the quality of life, β =-0.151, P < 0.001. Depression indirectly affects the quality of life through symptom burdens.

Conclusion

Depression and symptom burden directly or indirectly affect the quality of life in patients with maintenance hemodialysis. Symptom burden moderates the relationship between depression and quality of life as a mediating variable.

Mapping the global research landscape on depression for patients with chronic kidney disease: a bibliometric and visualized analysis from 2006 to 2022

Background

Chronic Kidney Disease (CKD), a complex and multifaceted health issue, significantly contributes to global mortality rates. Accompanying chronic conditions, depression notably exacerbates health outcomes, increasing both mortality risk and the burden on affected individuals. This study employs bibliometric and visual analytics to evaluate the evolution, current trends, and future research directions in the field of CKD and depression.

Methods

We conducted a thorough investigation using the Web of Science Core Collection, focusing on literature published from 2006 to 2022 that examines the interplay between CKD and depression. The analysis was enriched with bibliometric and visualization tools such as bibliometrix, CiteSpace, and VOSviewer to distill the essence of the research corpus.

Results

Our analysis incorporated 2,409 CKD-related publications, with significant contributions from the United States, China, and England. BMC Nephrology emerged as the leading publication outlet, while the American Journal of Kidney Diseases featured the most cited articles. Key terms such as "depression," "quality-of-life," "mortality," "prevalence," and "hemodialysis" dominated the keyword landscape, indicating the research focus areas.

Conclusion

This bibliometric analysis offers an in-depth view of the research trajectory in CKD and depression. It provides valuable insights for researchers seeking relevant literature, potential collaborators, and an understanding of the field's current hotspots and emerging frontiers. The findings of this study are instrumental in guiding and enriching future research endeavors in this domain.

Factor Structures in the Depressive Symptoms Domains in the 9Q for Northern Thai Adults and Their Association with Chronic Diseases

Most of the common models to examine depression are one-factor models; however, previous studies provided several-factor structure models on each depressive symptom using the Patient Health Questionnaire-9 (PHQ-9). The Nine-Questions Depression-Rating Scale (9Q) is an alternative assessment tool that was developed for assessing the severity of depressive symptoms in Thai adults. This study aimed to examine the factor structure of this tool based on the factor structure models for the PHQ-9 provided in previous studies using confirmatory factor analysis (CFA). We also examined the association of chronic diseases and depressive symptoms using the Multiple Indicators Multiple Causes model among 1346 participants aged 19 years old or more without psychiatric disorders. The results show that the two-factor CFA model with six items in the cognitive-affective domain and three items in the somatic domain provided the best fit for depressive symptoms in the study population (RMSEA = 0.077, CFI = 0.953, TLI = 0.936). Dyslipidemia was positively associated with both cognitive-affective symptoms (β = 0.120) and somatic depressive symptoms (β = 0.080). Allergies were associated with a higher level of cognitive-affective depressive symptoms (β = 0.087), while migraine (β = 0.114) and peptic ulcer disease (β = 0.062) were associated with a higher level of somatic symptoms. Increased age was associated with a lower level of somatic symptoms (β = -0.088). Our findings suggested that considering depressive symptoms as two dimensions yields a better fit for depressive symptoms. The co-occurrence of chronic diseases associated with depressive symptoms should be monitored.

Functional gastrointestinal disorders, mental health, genetic susceptibility, and incident chronic kidney disease

BACKGROUND

Whether functional gastrointestinal disorders (FGIDs) are associated with the long-term risk of chronic kidney disease (CKD) remains unclear. We aimed to investigate the prospective association of FGIDs with CKD and examine whether mental health mediated the association.

METHODS

About 416,258 participants without a prior CKD diagnosis enrolled in the UK Biobank between 2006 and 2010 were included. Participants with FGIDs (including irritable bowel syndrome [IBS], dyspepsia, and other functional intestinal disorders [FIDs; mainly composed of constipation]) were the exposure group, and non-FGID participants were the non-exposure group. The primary outcome was incident CKD, ascertained from hospital admission and death registry records. A Cox proportional hazard regression model was used to investigate the association between FGIDs and CKD, and the mediation analysis was performed to investigate the mediation proportions of mental health.

RESULTS

At baseline, 33,156 (8.0%) participants were diagnosed with FGIDs, including 21,060 (5.1%), 8262 (2.0%), and 6437 (1.6%) cases of IBS, dyspepsia, and other FIDs, respectively. During a mean follow-up period of 12.1 years, 11,001 (2.6%) participants developed CKD. FGIDs were significantly associated with a higher risk of incident CKD compared to the absence of FGIDs (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.28-1.44). Similar results were observed for IBS (HR, 1.27; 95% CI, 1.17-1.38), dyspepsia (HR, 1.30; 95% CI, 1.17-1.44), and other FIDs (HR, 1.60; 95% CI, 1.43-1.79). Mediation analyses suggested that the mental health score significantly mediated 9.05% of the association of FGIDs with incident CKD and 5.63-13.97% of the associations of FGID subtypes with CKD. Specifically, the positive associations of FGIDs and FGID subtypes with CKD were more pronounced in participants with a high genetic risk of CKD.

CONCLUSION

Participants with FGIDs had a higher risk of incident CKD, which was partly explained by mental health scores and was more pronounced in those with high genetic susceptibility to CKD.

Circadian syndrome is associated with the development of chronic kidney disease and rapid decline in kidney function in middle-aged and elder adults: a China nationwide cohort study

PURPOSE

The correlation between circadian syndrome (CircS) and kidney outcomes is currently supported by limited empirical evidence. Thus, the objective of this study was to determine the potential relationship between CircS and the development of chronic kidney disease (CKD), as well as the rapid decline in renal function.

MATERIALS AND METHODS

We utilized data from the 2011 China Health and Retirement Longitudinal Study (CHARLS), which involved 6002 Chinese adults ≥40 years of age. Among these participants, 3670 subsequently had follow-up evaluations in the 2015 survey. The primary outcome was the development of CKD, as defined by an estimated glomerular filtration rates decrease to a level <60 ml/min/1.73 m2, while the secondary outcome was rapid decline in renal function, as defined by an estimated glomerular filtration rates decrease of >5 ml/min/1.73 m2 per year. Multivariable logistic regression analysis was utilized to determine the association between CircS and kidney outcomes.

RESULTS

Compared to participants without CircS, those with CircS had a higher risk of CKD in the cross-sectional studies conducted in 2011 (OR, 1.292; 95% CI, 1.053-1.585) and 2015 (OR, 1.860; 95% CI, 1.469-2.355). Participants with CircS in the longitudinal cohort study had a higher risk of progressing to CKD (OR, 3.050; 95% CI, 2.052-4.534) and a rapid decline in renal function (OR, 1.959; 95% CI, 1.433-2.677) after 4 years of follow-up evaluations and adjustment for covariates. Moreover, participants who had CircS with ≥6 CirS components had the highest risk of a rapid decline in renal function (OR, 1.703; 95% CI, 1.054-2.753).

CONCLUSION

CirS significantly increased the risk of CKD progression and rapid decline in renal function among middle-aged and elder individuals. Our study findings highlights the importance of recognizing and managing CirC as a preventative strategy for CKD.

Maternal exposure of mice to glyphosate induces depression- and anxiety-like behavior in the offspring via alterations of the gut-brain axis

The past decade has been characterized by increased awareness and de-stigmatization of mental health issues, in particular the most common neuropsychiatric disorders depression and anxiety. Further, with growing understanding of neurodevelopmental disorders such as attention deficit and hyperactivity disorder and autism spectrum disorder, the number of diagnosed patients has increased. The pathogenesis of these behavioral disorders is multifactorial and early-life exposure to environmental chemicals has been proposed to be a relevant risk factor that might mediate these effects by disturbances on the gut-brain-axis. However, for glyphosate, the most widely used pesticide worldwide, there are only limited and inconsistent findings that link chronic low-dose exposure in particular during early life to neurobehavioral disorders. Here, we explored the impact of maternal oral glyphosate exposure (0.5 and 50 mg/kg body weight/day) during pregnancy and the lactational period on offspring's behavior, brain gene expression and gut microbiota using a cross-generational mouse model. Behavioral analyses revealed a depression- and anxiety-like behavior as well as social deficits most notably in adult female offspring of glyphosate-exposed dams. Furthermore, the expression of tryptophan hydroxylase 2, an enzyme discussed to be linked to behavioral problems, was reduced in the hippocampus of female offspring and correlated to a glyphosate-induced DNA hypermethylation of the gene. Moreover, maternal glyphosate exposure significantly altered the gut microbiota in the female offspring including a decreased abundance of Akkermansia and increased abundance of Alistipes and Blautia, bacteria involved in tryptophan metabolism and associated with depression- and anxiety-like disorders. Our results suggest that glyphosate might influence the gut-brain axis crosstalk following in-utero and lactational exposure. This study underlines the importance of understanding the impact of exposure to pesticides on the gut-brain axis and further emphasizes the need for microbiome analyses to be compulsorily included in health risk assessments of pesticides.

Depressive symptoms and sleep duration in relation to chronic kidney disease: Evidence from the China health and retirement longitudinal study

OBJECTIVE

Nowadays, the joint effects of depressive symptoms and sleep duration on the risk of chronic kidney disease (CKD) are still unclear. We aimed to prospectively assess the combined effect of depressive symptoms and sleep duration on the incidence of CKD in middle-aged and elderly Chinese population.

METHODS

A total of 10,953 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale (CESD-10). Sleep duration was evaluated by self-reported. CKD events were based on self-reported physicians' diagnosis or personal estimate glomerular filtration rate level (eGFR <60 mL/min/1.73 m2). Cox regression models were established to analyze the correlation between depressive symptoms, sleep duration and the risk of CKD.

RESULTS

Over a mean follow-up time was 6.76 ± 0.98 years, 851 (7.8%) participants had reported CKD events during the follow-up. Elevated depressive symptoms (HR = 1.65, 95% CI = 1.43-1.90) and short sleep duration (HR = 1.48, 95% CI = 1.27-1.72) were independently associated with an increased CKD risk after adjusting for potential confounding factors. Participants with short sleep duration (< 6 h)/elevated depressive symptoms (HR = 2.24, 95% CI = 1.89-2.65) were associated with the highest risk of CKD than those with normal sleep duration/low depressive symptoms.

CONCLUSIONS

Elevated depressive symptoms and short sleep duration were independent risk factors for CKD. There was a combined effect between depressive symptoms and sleep duration in increasing the risk of CKD.

Mother-Father Relationship and Depressive Symptoms Among Pregnant Black Women

BACKGROUND

Black women report higher levels of depressive symptoms during pregnancy than white women. A supportive relationship with the father of the baby may be protective and decrease depressive symptoms.

OBJECTIVE

We sought to examine the association between mother-father relationship and depressive symptoms among pregnant black women.

METHODS

Using a cross-sectional design, we conducted a secondary data analysis from a subsample of 405 pregnant black women who participated in the Biosocial Impact on Black Births study, a prospective cohort study. Participants completed questionnaires at 19- to 29-week gestation, including 6 measures of their relationship with the father of the baby: (1) contact, (2) involvement, (3) overall relationship, (4) change in relationship from prior to pregnancy to during pregnancy, (5) support, and (6) conflict. Latent class analysis was used to identify and classify the relationship construct. The Center for Epidemiologic Studies-Depression (CES-D) scale was used, with scores ≥23 considered high levels of depressive symptoms. Data were analyzed with logistic regression.

RESULTS

Following adjustment for maternal sociodemographic characteristics, comorbid conditions, and health behaviors, women in a conflictual relationship had higher odds of having depressive symptom scores ≥23 (adjusted odds ratio: 3.50, 95% confidence interval: 2.00, 6.12) than those having no relationship (adjusted odds ratio: 2.81, 95% confidence interval: 1.43, 5.52), when compared with those with a good relationship.

CONCLUSIONS

These findings suggest that having either a conflictual or no relationship with the father of the baby during pregnancy increases the odds for higher maternal depressive symptoms (CES-D scores ≥ 23) among pregnant black women.

The relationship between neutrophil lymphocyte ratio, platelet lymphocyte ratio, and depression in dialysis patients

Chronic kidney disease is a worldwide public health issue with rising incidence, morbidity/mortality, and cost. Depression and chronic renal disease often coexist, and psychological illnesses are associated with poor results. Early identification of depression reduces morbidity and death. Neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) are reported as practical biomarkers of inflammation and immune system activation. In this study, we aimed to determine the association of NLR and PLR with depression in dialysis patients. This study included 71 adults over 18 without known hematologic or oncologic disease, drug use, or chronic inflammatory diseases. Comorbid chronic diseases, laboratory data, and Beck depression inventory scores were prospectively recorded. A comparison of 2 groups according to the existence of depression was made, and a binomial logistic regression test was used to determine the association between the variables and the presence of depression after adjusting for confounding factors. A receiver operating curve analysis was used to differentiate groups with and without severe depression. Seventy-one patients met the study criteria, with 46 hemodialysis and 25 peritoneal dialysis patients. The majority had hypertension and diabetes mellitus, with 47.89% having minimal-minor depression and 52.11% having moderate-major depression. The 2 groups were similar regarding chronic diseases, with no significant differences in serum creatinine levels, glucose, lipid profiles, or electrolytes. However, when the NLR of the 2 groups was compared, the median was higher in patients with moderate or major depression. Multivariate analysis showed no significant differences between the groups in PLR, triglyceride to glucose ratio, and C-reactive peptide to albumin ratio. The best NLR cutoff value was 3.26, with 48.6% sensitivity, 88.2% specificity, 81.8% positive predictive value, 61.2% negative predictive value, and 67.6% test accuracy. Depression is one of the most common psychiatric conditions in dialysis patients and is linked to increased morbidity, mortality, treatment failure, expense, and hospitalization. NLR helped predict moderate-to-major depression in dialysis patients, even after controlling for confounding factors in multivariate analysis. This study indicated that an NLR successfully identified depressive groups, and patients with an NLR value >3.26 were 6.1 times more likely to have moderate or major depression.

Coping Behaviors and Incident Kidney Disease

Key Points

Adaptive coping behaviors are associated with lower odds of incident CKD. Coping behaviors could represent a target to prevent CKD.

Background

How someone copes may alter the trajectory of their kidney function. We aimed to evaluate whether coping behaviors were associated with incident CKD or rapid kidney function decline.

Methods

We used data from the Healthy Aging in Neighborhoods of Diversity across the Life Span study (Baltimore, MD) for this longitudinal analysis. Adaptive and maladaptive coping behavioral constructs were measured using the Brief COPE Inventory at visit 1. We used multiple logistic regression to assess the odds of incident CKD and rapid kidney function decline per point increase in coping scales and adjusted for baseline demographics and clinical variables.

Results

Of 1935 participants, mean age was 48 years, 44% were male, 56% were Black persons, and baseline mean (SD) eGFR was 91 (16) ml/min per 1.73 m2. After a median of 8.2 years, 113 participants developed incident CKD and 341 had rapid kidney function decline. Compared with those who reported they usually did not use adaptive coping behaviors at all (such as emotional support), those with the highest use of adaptive coping had lower odds of incident CKD. Every 1-unit increase in adaptive coping corresponded with a 2% lower adjusted odds of incident CKD (odds ratio, 0.98; 95% confidence interval, 0.95 to 0.99). There was no association between maladaptive coping behaviors and incident CKD. Coping behaviors were not associated with rapid kidney function decline.

Conclusions

Adaptive coping behaviors were associated with lower odds of incident CKD and could represent a target to facilitate CKD prevention. The role of medical care in this association is an area worthy of further investigation.

Bidirectional Association Between Probable Depression and Multimorbidity Among Middle-Aged and Older Adults in Thailand

Introduction

The purpose of this study was to assess the bidirectional association between multimorbidity (MM) and probable depression in a longitudinal study in Thailand.

Methods

We analyzed longitudinal data of participants 45 years and older from two consecutive waves (in 2015 and 2017) of Health, Aging, and Retirement in Thailand (HART). Probable depression was assessed using the Center for Epidemiological Studies Depression scale. Logistic regression analysis was conducted to assess the association between baseline probable depression and incident physical MM, and baseline physical MM and incident probable depression.

Results

In all, 2712 participants without MM at baseline and 2684 without probable depression at baseline were included. At follow-up 15.6% of probable depression cases and 11.4% of nonprobable depression cases developed physical MM, and at follow-up 13.3% of physical MM cases and 8.9% of nonphysical MM cases developed probable depression. In the final logistic regression analysis, adjusted for age, sex, marital status, income, education, body mass index, physical activity, smoking tobacco, alcohol use, and social engagement, probable depression at baseline was positively associated with incident physical MM (aOR: 1.50, 95% CI: 1.09 to 2.06), and physical MM at baseline was positively associated with incident probable depression (aOR: 1.47, 95% CI: 1.07 to 2.02).

Discussion

Baseline physical MM increases the risk of incident probable depression and baseline probable depression increases the risk of incident physical MM among middle-aged and older adults in Thailand.

Changes in Tryptophan-Kynurenine Metabolism in Patients with Depression Undergoing ECT-A Systematic Review

The kynurenine pathway of tryptophan (Trp) metabolism generates multiple biologically active metabolites (kynurenines) that have been implicated in neuropsychiatric disorders. It has been suggested that modulation of kynurenine metabolism could be involved in the therapeutic effect of electroconvulsive therapy (ECT). We performed a systematic review with aims of summarizing changes in Trp and/or kynurenines after ECT and assessing methodological issues. The inclusion criterium was measures of Trp and/or kynurenines before and after ECT. Animal studies and studies using Trp administration or Trp depletion were excluded. Embase, MEDLINE, PsycInfo and PubMed were searched, most recently in July 2022. Outcomes were levels of Trp, kynurenines and ratios before and after ECT. Data on factors affecting Trp metabolism and ECT were collected for interpretation and discussion of the reported changes. We included 17 studies with repeated measures for a total of 386 patients and 27 controls. Synthesis using vote counting based on the direction of effect found no evidence of effect of ECT on any outcome variable. There were considerable variations in design, patient characteristics and reported items. We suggest that future studies should include larger samples, assess important covariates and determine between- and within-subject variability. PROSPERO (CRD42020187003).

Predictors of somatic symptom persistence in patients with chronic kidney disease (SOMA.CK): study protocol for a mixed-methods cohort study

INTRODUCTION

Seven of 10 patients with non-dialysis chronic kidney disease (CKD) experience burdensome persistent somatic symptoms (PSS). Despite the high prevalence and relevance for quality of life, disease progression and mortality, the pathogenesis of PSS in CKD remains poorly understood. The SOMA.CK study aims to investigate biopsychosocial predictors and their interactions for PSS in non-dialysis CKD and to develop a multivariate prognostic prediction model for PSS in CKD.

METHODS AND ANALYSIS

The study is a mixed-methods cohort study with assessments at baseline, 6 and 12 months. It aims to include 330 patients with CKD stages G2-4 (eGFR=15-89 mL/min/1.73 m²). Primary outcome is the CKD-specific somatic symptom burden assessed with the CKD Symptom Burden Index. Secondary outcomes include quality of life, general somatic symptom burden and functioning. The interplay of biomedical (eg, biomarkers, epigenetics), treatment-related (eg, therapies and medication) and psychosocial variables (eg, negative affectivity, expectations) will be investigated to develop a prognostic prediction model for PSS. In an embedded mixed-methods approach, an experimental study in 100 patients using an affective picture paradigm will test the effect of negative affect induction on symptom perception. An embedded longitudinal qualitative study in 40-50 newly diagnosed patients will use thematic analysis to explore mechanisms of symptom development after receiving a CKD diagnosis. SOMA.CK is part of the interdisciplinary research unit 'Persistent SOMAtic Symptoms ACROSS Diseases'.

ETHICS AND DISSEMINATION

The study was approved by the Ethics Committee of the Hamburg Medical Association (2020-10195-BO-ff). Findings will be disseminated through peer-reviewed publications, scientific conferences, the involvement of our patient advisory board and the lay public. Focusing on subjective symptom burden instead of objective disease markers will fundamentally broaden the understanding of PSS in CKD and pave the path for the development of mechanism-based tailored interventions.

TRIAL REGISTRATION NUMBER

ISRCTN16137374.

The bidirectional association between depressive symptoms, assessed by the HADS, and albuminuria–A longitudinal population-based cohort study with repeated measures from the HUNT2 and HUNT3 Study

Background

Both albuminuria and depression are associated with cardiovascular disease, reflecting low-grade systemic inflammation and endothelial dysfunction. They share risk factors including weight, blood pressure, smoking and blood glucose levels. This longitudinal study aimed to examine bidirectional associations between depression symptoms, indexed by the Hospital Anxiety and Depression scale (HADS), and the inflammation marker albuminuria.

Methods

2909 persons provided urine samples in both the second (HUNT2, 1995–97) and third wave (HUNT3, 2006–2008) of the Trøndelag Health Survey, Norway. We used a generalized linear regression model (GLM) and ANOVA to assess the association between albuminuria levels (exposure HUNT2) with depression symptoms (outcome in HUNT3); and between depression symptoms (exposure HUNT2) with albuminuria (outcome HUNT3). Depression symptoms were measured with the HADS Depression Scale, analyzed utilising the full 7 items version and analyses restricted to the first 4 items (HADS-D and HADS-4). We accounted for confounders including baseline individual levels of the exposure variables.

Results

In this 10-years follow-up study, we found no statistical evidence for an association between baseline depression symptoms and subsequent albuminuria, nor between baseline albuminuria and subsequent depression symptoms. For albuminuria, only 0.04% was explained by prior depression, and for depression, only 0.007% was explained by previous albuminuria levels. The results were essentially the same for the shorter HADS-4 measure.

Conclusion

There does not appear to be a longitudinal association between albuminuria and depression measured by the HADS.

Individualized identification of sexual dysfunction of psychiatric patients with machine-learning

Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can significantly impair their quality of life. Early recognition of SD in a clinical setting may help patients and clinicians to optimize treatment options of SD and/or other primary diagnoses taking SD risk into account and may facilitate treatment compliance. SD identification is often overlooked in clinical practice; we seek to explore whether patients with a high risk of SD can be identified at the individual level by assessing known risk factors via a machine learning (ML) model. We assessed 135 subjects referred to a tertiary mental health clinic in a Western Canadian city using health records data, including age, sex, physician's diagnoses, drug treatment, and the Arizona Sexual Experiences Scale (ASEX). A ML model was fitted to the data, with SD status derived from the ASEX as target outcomes and all other variables as predicting variables. Our ML model was able to identify individual SD cases-achieving a balanced accuracy of 0.736, with a sensitivity of 0.750 and a specificity of 0.721-and identified major depressive disorder and female sex as risk factors, and attention deficit hyperactivity disorder as a potential protective factor. This study highlights the utility of SD screening in a psychiatric clinical setting, demonstrating a proof-of-concept ML approach for SD screening in psychiatric patients, which has marked potential to improve their quality of life.