The impact of somatic and cognitive depressive symptoms on medical prognosis in patients with end-stage renal disease

Exploring Palliative Care Needs Among Patients With Cancer and Non-Cancer Serious Chronic Diseases: A Comparison Study

BACKGROUND

Palliative care (PC) is integral to improving the quality of life and mitigating suffering for individuals with serious illnesses. This interdisciplinary-led study aims to comprehensively evaluate the prevalence of distressing problems and unmet needs among both cancer and non-cancer chronic disease patients and explore their need for PC.

METHODS

A cross-sectional, comparative, and multicenter design was conducted, involving 458 patients from eight hospitals, utilizing a self-reported Problems and Needs in Palliative Care-sv questionnaire.

RESULTS

The study included 276 (60.3%) patients with cancer and 182 (39.7%) with non-cancer chronic diseases. Most were 45-64 years old (n = 216, 47.2%). Patients with cancer reported a higher prevalence of physical symptoms, notably pain (n = 240, 87%) and anorexia (n = 192, 69.6%), while non-cancer patients faced more social challenges, including issues in companion relationships (n = 77, 42.3%) and discussing their disease with life companion (n = 78, 42.9%). Unmet needs were prevalent in both groups, with cancer patients having an average of 75.6% (n = 120) unmet needs, predominantly in the information (n = 145, 91.75%) and spiritual domains (n = 123, 77.8%). Non-cancer patients emphasized financial (n = 71, 66.6%) and autonomy (n = 59, 55.0%) problems. Moreover, patients in both groups with severe Charlson Comorbidity Index scores demonstrated significantly higher PC needs across all health domains.

CONCLUSION

The study highlights the universal demand for comprehensive PC for patients with both cancer and non-cancer chronic diseases. The findings underscore the need for enhanced PC provision, especially for patients with multiple comorbidities. Further research is needed to comprehensively address psychological, social, and spiritual problems in both patient groups.

Short-physical performance battery: complete mediator of cognitive depressive symptoms and diabetes mellitus in hemodialysis patients

OBJECTIVE

This study aimed to examine the relationship between different dimensions of depressive symptoms and the presence of diabetes mellitus in hemodialysis patients. Additionally, the study sought to elucidate the mediating effect of physical performance on this association.

METHODS

This was a cross-sectional multicenter study conducted between July 2020 and March 2023, involving 1024 patients from eight hemodialysis centers in Shanghai. Diabetes mellitus was based on a documented physician diagnosis and blood glucose tests. Physical performance and depressive symptoms were assessed using short-physical performance battery (SPPB) and the patient health questionnaire-9, respectively. Regression and mediation analysis were applied to statistical analysis.

RESULTS

Among the 1024 participants, 39.26% (n = 402) were found to have coexisting diabetes mellitus. Diminished SPPB scores (OR = 0.843, 95% CI = 0.792-0.897) and cognitive depressive symptoms (OR = 1.068, 95% CI = 1.011-1.129) exhibited significant associations with diabetes mellitus, while somatic depressive symptoms did not show a significant correlation. Notably, SPPB emerged as a complete mediator in the relationship between cognitive depressive symptoms and diabetes mellitus. The observed indirect effect of SPPB on this relationship was estimated at 0.038 (95% CI: 0.021-0.057).

CONCLUSION

This study showed an association between diabetes mellitus and cognitive depressive symptoms in patients undergoing hemodialysis, with physical performance appearing to mediate the relationship between diabetes mellitus and depressive symptoms.

The novel subtype of major depressive disorder characterized by somatic symptoms is associated with poor treatment efficacy and prognosis: A data-driven cluster analysis of a prospective cohort in China

BACKGROUND

There is not yet a valid and evidence-based system to classify patients with MDD into more homogeneous subtypes based on their clinical features. This study aims to identify symptom-based subtypes of MDD and investigate whether the treatment outcomes of those subtypes would be different.

METHOD

The cohort was established at 12 densely populated cities of China. A total of 1487 patients were enrolled. All participants were 18-65 years old and diagnosed with MDD. Participants were followed up at baseline, weeks 4, 8, and 12, and months 4 and 6. K-means algorithm was used to cluster patients with MDD according to clinical symptoms. The network analysis was adopted to characterize and compare the symptom patterns in the clusters. We also examined the associations between the clusters and the clinical outcomes.

RESULTS

The optimal number of the clusters was determined to be 2. Each cluster's maximum Jaccard Co-efficient was calculated to be >0.5 (cluster1 = 0.53, cluster 2 = 0.67). The symptom "depressed mood" and some other affective symptoms were the most prominent in cluster 1. Somatic symptoms, such as weight loss and general somatic symptoms, had the greatest expected influence in cluster 2. Compared with the response rates of the patients in the "somatic cluster", those of the patients in the "affective cluster" were significantly higher (P < 0.05).

CONCLUSIONS

Patients with MDD might be classified into two symptom-based subtypes featured with affective symptoms or somatic symptoms. The treatment efficacy and prognosis of the subtype featured with somatic symptoms may be worse.

Somatic Symptoms of Depression Lose Association with Mortality upon Adjustment for Frailty: Analysis from the Fitness Haemodialysis Cohort

Introduction

The somatic symptom component of depression is associated with increased hospitalisation and mortality and poorer health-related quality of life (HRQOL). However, the relationship of subsets of depression symptoms with frailty and outcomes is not known. This study aimed to (1) explore the relationship between the Clinical Frailty Scale (CFS) and components of depression and (2) their association with mortality, hospitalisation, and HRQOL in haemodialysis recipients.

Methods

We conducted a prospective cohort study of prevalent haemodialysis recipients, with deep bio-clinical phenotyping including CFS and PHQ-9 somatic (fatigue, poor appetite, and poor sleep) and cognitive component scores. EuroQol EQ-5D summary index assessed HRQOL at the baseline. Electronic linkage to English national administration datasets ensured robust follow-up data for hospitalisation and mortality events. Findings. Somatic (β = 0.067; 95% C.I. 0.029 to 0.104; P < 0.001) and cognitive (β = 0.062; 95% C.I. 0.034 to 0.089; P<0.001) components were associated with increased CFS scores. Both somatic (β = -0.062; 95% C.I. -0.104 to -0.021; P<0.001) and cognitive (β = 0.052; 95% C.I. -0.081 to -0.024; P < 0.001) scores were associated with lower HRQOL. Somatic scores lost mortality association on addition of CFS to the multivariable model (HR1.06; 95% C.I. 0.977 to 1.14; P=0.173). Cognitive symptoms were not associated with mortality. Neither the component score was associated with hospitalisation on multivariable analyses.

Conclusions

Both somatic and cognitive depression symptoms are associated with frailty and poorer HRQOL in haemodialysis recipients but were not associated with mortality or hospitalisation when adjusted for frailty. The risk profile of depression somatic scores may be related to overlap with symptoms of frailty.