We’re currently upgrading our membership platform to bring you an improved experience. During this transition, access to member accounts is temporarily unavailable. We appreciate your patience and can’t wait to share the new and improved system with you soon!
For urgent membership questions, please contact info@clpsychiatry.org.
Journal Article Annotations
2025, 3rd Quarter
Annotations by J. Shivali Patel, MD and Rebekah Nash, MD, PhD
September, 2025
The finding:
This study utilized cross-sectional data from the National Health and Nutrition Examination Survey (NHANES, 2015–2018) and Mendelian randomization (MR) analysis to investigate whether chronic kidney disease (CKD) is associated with an increased risk of depression and whether this relationship varies across demographic subgroups. Among 3,738 NHANES participants, CKD was significantly associated with higher odds of depression (OR > 1, 95% CI, p < 0.05), even after adjusting for confounders including age, gender, race, education, tobacco and alcohol use, sleep disorders, diabetes, and physical activity. The multivariate model incorporating CKD demonstrated strong predictive accuracy for depression (AUC = 0.818; 95% CI: 0.796–0.841). Older age, male gender, higher education, non-smoking status, and regular physical activity were associated with decreased depression risk, while Hispanic or multiracial background, alcohol use, and sleep disorders were associated with increased depression risk. Finally, the MR analysis suggested a potential, albeit very small, causal contribution of CKD to depression.
Strength and weaknesses:
This study leveraged observational data from a large, nationally representative sample and incorporated MR to strengthen causal inference and reduce bias from reverse causality. Advanced statistical methods, including weighted multivariate and stratified logistic regression, were used to adjust for confounding and improve analytical rigor. Subgroup and stratified analyses further highlighted lifestyle-related risk factors, adding granularity and clinical relevance.
However, while the MR-derived effect size was statistically significant (OR = 1.002; 95% CI: 1.000–1.003; p < 0.05), it was very small, raising questions about clinical significance. The exclusion of individuals under 18 and those missing PHQ-9 or CKD data may limit generalizability. Additionally, residual confounding may persist due to unmeasured factors such as psychiatric comorbidities, CKD stage, medication burden, socioeconomic status, and social support.
Relevance:
This study underscores a strong association between CKD and depression, even after adjusting for multiple covariates, and provides modest evidence of a possible causal relationship. These findings support the need for proactive depression screening in patients with CKD. Ultimately, C-L psychiatrists are well-positioned to address modifiable risk factors, such as physical inactivity and tobacco use, and manage contributing issues like sleep disorders and alcohol use. Early engagement through motivational interviewing and collaborative care models may improve both psychiatric and medical outcomes in this population.
The finding:
This study analyzed data from the 2021 National Health Interview Survey (NHIS) and found that U.S. adults with diagnosed kidney disease had significantly higher rates of serious psychological distress (measured by the Kessler-6), current symptoms of depression or anxiety (based on the PHQ-2 and GAD-2), and diagnosed depressive or anxiety disorders compared to those without kidney disease. Many of these associations remained significant after adjusting for sociodemographic characteristics and health-related variables, though some, such as current depressive symptoms, were attenuated and no longer significant in fully adjusted models. Individuals with kidney disease were also more likely to receive mental health care, particularly counseling, even after full adjustment. While individuals with kidney disease reported higher use of prescription medications for anxiety and depression, this difference was not statistically significant after adjusting for sociodemographic and health-related factors.
Strength and weaknesses:
This study utilized data from a nationally representative sample and applied multivariable analyses to adjust for sociodemographic and health-related characteristics, strengthening the validity of its findings. However, as a cross-sectional analysis, it cannot establish temporality or causality between kidney disease and mental health symptoms or care. Additionally, reliance on self-reported data from the NHIS introduces potential recall bias, and unmeasured confounders, such as substance use history, may influence the observed associations. The study also excluded individuals unaware of their renal dysfunction, a population that may have limited engagement with the healthcare system and, consequently, reduced likelihood of mental health diagnosis or treatment.
Relevance:
This study highlights the elevated burden of mental health symptoms among adults with diagnosed kidney disease. While many already receive counseling, the adequacy and effectiveness of these interventions remain unclear. The findings support the need for integrated behavioral health models within nephrology care settings to proactively address psychological distress.
The finding:
In a cross-sectional cohort of 248 adults undergoing maintenance hemodialysis (median 5 years of treatment) and without a known diagnosis of dementia, the authors explored the prevalence of cognitive impairment and its association with anemia and other clinical covariates. Cognitive impairment, defined as a Mini-Mental State Examination (MMSE) score < 24, was identified in 34% of participants. Using Spearman’s correlation, MMSE scores were correlated with younger age, greater educational attainment, absence of comorbid conditions (e.g., hypertension, diabetes, cardiovascular disease), longer duration of hemodialysis, higher pre-dialysis blood pressure, elevated hemoglobin levels, and higher creatinine concentrations. Multivariable logistic regression revealed that older age, female gender, lower pre-dialysis blood pressure, reduced uric acid levels, and lower hemoglobin concentrations were independently associated with cognitive impairment, after adjusting for relevant covariates. Furthermore, when hemoglobin levels were stratified into quartiles, the risk of cognitive impairment increased progressively with each lower quartile, even after controlling for confounders.
Strength and weaknesses:
The study is limited by its single-center, cross-sectional design: causation cannot be inferred, and the findings may not translate completely to other dialysis centers or outside of East China. Patients with a diagnosis of dementia were excluded, limiting applicability to that subgroup. Lab values, including hemoglobin, were obtained at one point in time, as opposed to being averaged over several time points, thus increasing the likelihood of including outliers for values that can vary significantly over time. The use of the MMSE, a relatively less sensitive cognitive screening tool, may have underestimated the true prevalence of cognitive impairment—especially in a population where 48% had six or fewer years of education, which can negatively influence test performance. Notably, erythropoiesis-stimulating agents were provided to those in the cohort, presumably improving anemia and lessening its negative impact, and likely mimicking typical clinical practice, and improving applicability of the study findings. The study was strengthened by a robust collection of covariates, for which the authors could control when exploring the impact of anemia on their outcome of interest.
Relevance:
When caring for individuals receiving maintenance hemodialysis, C-L psychiatrists should always keep in mind the significant prevalence of cognitive impairment in this population and how cognitive impairment may contribute to an individual’s presentation. This paper demonstrates an association between cognitive impairment and lower hemoglobin concentrations; if cognitive impairment is of clinical concern, management of the individual’s anemia could represent a modifiable risk factor of cognitive impairment for the patient.