Dialysis withdrawal and symptoms of anxiety and depression: a prospective cohort study.

BACKGROUND: An important aspect of end-of-life decisions in dialysis patients is elective withdrawal from dialysis therapy. Several studies have shown that clinical factors, such as comorbidity, play a role in dialysis withdrawal. The role of symptoms of anxiety and depression is largely unknown. The. METHODS: A prospective multi-center study has been set up to investigate anxiety and depressive symptoms longitudinally in dialysis patients. Anxiety and depressive symptoms were investigated using the Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI) as baseline. Adverse events, including dialysis withdrawal and mortality were registered during follow-up. Multivariable cox proportional hazard models were used with anxiety and depression as the independent variable and dialysis withdrawal as the outcome variable. Models included age, sex, ethnicity and a set of clinical comorbidities. RESULTS: A total of 687 patients were included between 2012 and 2017, with a median follow-up of 3.2 years. A total of 48 patients (7%) withdrew from dialysis therapy, and subsequently deceased. Anxiety and depressive symptoms at baseline showed an association with dialysis withdrawal with hazard ratios of 2.31 (1.09-4.88) for anxiety and 2.56 (1.27-5.15) for depressive symptoms, independent of somatic comorbidities. DISCUSSION: Withdrawal from dialysis therapy is associated with anxiety and depressive symptoms. Dialysis patients with more severe depressive and anxiety symptoms were more vulnerable for dialysis withdrawal. Insight in factors that play a role in dialysis withdrawal could aid patients and clinicians making an informed decision and develop clinical guidelines.

Validation of Two Screening Tools for Anxiety in Hemodialysis Patients.

BACKGROUND: Symptoms of anxiety are often unrecognized and untreated in dialysis patients. We investigated the diagnostic accuracy of two widely used screening tools for anxiety in hemodialysis patients. METHODS: For this cross-sectional validation study, chronic hemodialysis patients from eight dialysis centers in the Netherlands were included. The Beck Anxiety Inventory (BAI) and Hospital Anxiety and Depression Scale-Anxiety subscale (HADS-A) were validated by the Mini International Neuropsychiatric Inventory (MINI) diagnostic interview. Receiver operating characteristic curves were used to determine the optimal cut-off values. RESULTS: Of 65 participants, 13 (20%) were diagnosed with one or more anxiety disorders on the MINI, of which 5 were included in the analysis. ROC curves showed a good diagnostic accuracy of the BAI and HADS-A. The optimal cut-off value for the BAI was ≥13 (sensitivity 100%, specificity 85%) and for the HADS-A was ≥10 (sensitivity 80%, specificity 100%). CONCLUSIONS: Based on our limited data, both the BAI and the HADS-A seem to be valid screening instruments for anxiety in hemodialysis patients that can be used in routine dialysis care. The HADS-A consists of fewer items and showed fewer false-positive results than the BAI, which might make it more useful in clinical practice.

Depression, anxiety and quality of life of hemodialysis patients before and during the COVID-19 pandemic.

OBJECTIVE: To investigate the impact of the coronavirus pandemic on mental health in hemodialysis patients, we assessed depression, anxiety and quality of life with valid mental health measures before and after the start of the pandemic. METHODS: Data were used from 121 hemodialysis patients from the ongoing prospective multicenter DIVERS-II study. COVID-19 related stress was measured with the Perceived Stress Scale - 10, depression with the Beck Depression Inventory - second edition (BDI-II)), anxiety with the Beck Anxiety Inventory (BAI) and quality of life with the Short Form - 12 (SF-12). Scores during the first and second COVID-19 wave in the Netherlands were compared to data prior to the pandemic with linear mixed models. RESULTS: No significant differences were found in BDI-II, BAI and SF-12 scores between before and during the pandemic. During the first wave, 33% of participants reported COVID-19 related stress and in the second wave 37%. These patients had higher stress levels (mean difference (MD) 4.7 (95%CI 1.5; 8.0), p = 0.005) and BDI-II scores (MD 4.9 (95%CI 0.7; 9.0), p = 0.021) and lower SF-12 mental component summary scores (MD -5.3 (95%CI -9.0, -1.6), p = 0.006) than patients who did not experienced COVID-19 stress. These differences were already present before the pandemic. CONCLUSION: The COVID-19 pandemic does not seem to influence mental health in hemodialysis patients. However, a substantial subgroup of patients with pre-existent mental health problems may be more susceptible to experience COVID-19 related stress.

Internet-based treatment for depressive symptoms in hemodialysis patients: A cluster randomized controlled trial.

OBJECTIVE: To investigate the effectiveness of a guided internet-based self-help intervention for hemodialysis patients with depressive symptoms. METHOD: Chronic hemodialysis patients from nine Dutch hospitals with a depression score on the Beck Depression Inventory - second edition (BDI-II) of ≥10, were cluster-randomized into a five modules guided internet-based self-help problem solving therapy intervention or a parallel care-as-usual control group. Clusters were based on hemodialysis shift. The primary outcome depression was measured with the BDI-II. Analysis was performed with linear mixed models. RESULTS: A total of 190 hemodialysis patients were cluster-randomized to the intervention (n = 89) or control group (n = 101). Post-intervention measurement was completed by 127 patients (67%) and more than half of the patients (54%) completed the intervention. No significant differences were found on the BDI-II score between the groups (mean difference - 0.1, 95%CI -3.0; 2.7, p = 0.94). Per protocol sensitivity analysis showed comparable results. No significant differences in secondary outcomes were observed between groups. CONCLUSIONS: Guided internet-based self-help problem solving therapy for hemodialysis patients with depressive symptoms does not seem to be effective in reducing these symptoms as compared to usual care. Future research should examine how to best design content and accessibility of an intervention for depressive symptoms in hemodialysis patients. TRIAL REGISTRATION: Dutch Trial Register: Trial NL6648 (NTR6834) (prospectively registered 13th November 2017).

Clinical characteristics and risk factors of preventable hospital readmissions within 30 days.

Knowledge regarding preventable hospital readmissions is scarce. Our aim was to compare the clinical characteristics of potentially preventable readmissions (PPRs) with non-PPRs. Additionally, we aimed to identify risk factors for PPRs. Our study included readmissions within 30 days after discharge from 1 of 7 hospital departments. Preventability was assessed by multidisciplinary meetings. Characteristics of the readmissions were collected and 23 risk factors were analyzed. Of the 1120 readmissions, 125 (11%) were PPRs. PPRs occurred equally among different departments (p = 0.21). 29.6% of PPRs were readmitted by a practitioner of a different medical specialty than the initial admission (IA) specialist. The PPR group had more readmissions within 7 days (PPR 54% vs. non-PPR 44%, p = 0.03). The median LOS was 1 day longer for PPRs (p = 0.16). Factors associated with PPR were higher age (p = 0.004), higher socio-economic status (p = 0.049), fewer prior hospital admissions (p = 0.004), and no outpatient visit prior to readmission (p = 0.025). This study found that PPRs can occur at any department in the hospital. There is not a single type of patient that can easily be pinpointed to be at risk of a PPR, probably due to the multifactorial nature of PPRs.

Medication-Related Hospital Readmissions Within 30 Days of Discharge: Prevalence, Preventability, Type of Medication Errors and Risk Factors.

Background: Hospital readmission rates are increasingly used as a measure of healthcare quality. Medicines are the most common therapeutic intervention but estimating the contribution of adverse drug events as a cause of readmissions is difficult. Objectives: To assess the prevalence and preventability of medication-related readmissions within 30 days after hospital discharge and to describe the risk factors, type of medication errors and types of medication involved in these preventable readmissions. Design: A cross-sectional observational study. Setting: The study took place across the cardiology, gastroenterology, internal medicine, neurology, psychiatry, pulmonology and general surgery departments in the OLVG teaching hospital, Netherlands. Participants: Patients with an unplanned readmission within 30 days after discharge from an earlier hospitalization (index hospitalization: IH) were reviewed. Measurements: The prevalence and preventability of medication-related readmissions were assessed by residents in multidisciplinary meetings. A senior internist and hospital pharmacist reassessed the prevalence and preventability of identified cases. Generalized estimating equation with logistic regression was performed to identify risk factors of potentially preventable medication-related readmissions. Results: Of 1,111 included readmissions, 181 (16%) were medication-related, of which 72 (40%) were potentially preventable. The number of medication changes at IH (Adjusted odds ratio [ORadj]: 1.14; 95% CI: 1.05-1.24) and having ≥3 hospitalizations 6 months before IH (ORadj: 2.11; 95% CI: 1.12-3.98) were risk factors of a preventable medication-related readmission. Of these preventable readmissions, 35% were due to prescribing errors, 35% by non-adherence and 30% by transition errors. Medications most frequently involved were diuretics and antidiabetics. Conclusion: This study shows that 16% of readmissions are medication-related, of which 40% are potentially preventable. If the results are confirmed in larger multicentre studies, this may indicate that more attention should be paid to medication-related harm in order to lower the overall readmission rates.

Treatment of current depressive symptoms in dialysis patients: A systematic review and meta-analysis.

OBJECTIVE: Symptoms of depression are highly prevalent and undertreated in dialysis patients. To aid clinicians in offering treatment to patients with depression, we conducted a systematic review and meta-analysis on the treatment of current depressive symptoms in dialysis patients. METHODS: Nine databases were searched on January 8th 2020 for randomized controlled trials on the treatment of depressive symptoms in dialysis patients. In contradiction to previous reviews, we only included studies who selected patients with a score above a defined cut-off for depressive symptoms and used an inactive control group, to investigate the effectiveness of treatments in currently depressed patients. All interventions aimed to treat depressive symptoms were accepted for inclusion. Standardized mean differences were calculated in a random effect meta-analysis. RESULTS: Seventeen studies were included in the systematic review (1640 patients). Nine studies could be included in the meta-analysis. A pooled analysis of 7 studies on psychotherapy showed a standardized mean difference of -0.48 [-0.87; -0.08], with a moderate heterogeneity (I2 = 52%, X2 = 12.56, p = .05). All studies on psychotherapy performed a per protocol analysis and scored high on potential bias. A pooled analysis of two studies on SSRI's showed no statistically significant improvement of depressive symptoms (SMD -0.57 [-6.17; 5.02], I2 = 71%, X2 = 0.2474, p = .06). CONCLUSIONS: Psychotherapy is a promising treatment for currently depressed dialysis patients, although quality of evidence is low. More evidence is needed regarding the efficacy of SSRI's, exercise therapy and dietary supplements in this population. PROSPERO: CRD42018073969.

General distress and symptoms of anxiety and depression: A factor analysis in two cohorts of dialysis patients.

OBJECTIVE: Depression and anxiety often coexist in patients with end-stage-kidney disease. Recently, studies showed that a composite 'general distress score' which combines depression and anxiety symptoms provides a good fit in dialysis and oncology patients. We aim to investigate if the three most frequently used self-report questionnaires to measure depression and anxiety in dialysis patients are sufficiently unidimensional to warrant the use of such a general distress score in two cohorts of dialysis patients. METHODS: This study includes two prospective observational cohorts of dialysis patients (total n = 749) which measured depression and anxiety using Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and Hospital Anxiety and Depression Scale (HADS). Confirmatory factor analyses was used to investigate both a strictly unidimensional model and a multidimensional bifactor model that includes a general distress, depression and anxiety factor. The comparative fit index (CFI) and The Root Mean Square Error of Approximation (RMSEA) were used as model fit indices. RESULTS: Factor analysis did not show a good fit for a strictly unidimensional general distress factor for both the BDI/BAI and HADS (CFI 0.690 and 0.699, RMSEA 0.079 and 0.125 respectively). The multidimensional model performed better with a moderate fit for the BDI/BAI and HADS (CFI 0.873 and 0.839, RMSEA 0.052 and 0.102). CONCLUSIONS: This data shows that the BDI/BAI and HADS are insufficiently unidimensional to warrant the use of a general distress score in dialysis patients without also investigating anxiety and depression separately. Future research is needed whether the use of a general distress score might be beneficial to identify patients in need of additional (psychological) support.

Symptom dimensions of anxiety and their association with mortality, hospitalization and quality of life in dialysis patients.

OBJECTIVE: Symptoms of anxiety are highly prevalent in dialysis patients and are associated with adverse clinical outcomes. Identifying symptom dimensions may help to understand the pathophysiology, improve screening and guide treatment. Currently, there are no data on symptom dimensions of anxiety in dialysis patients. This study aimed to identify the best fitting dimensional model for anxiety in dialysis patients and assess the association between symptom dimensions of anxiety and adverse clinical outcomes. METHODS: This study is a prospective observational cohort study including patients from 10 urban dialysis centers between 2012 and 2017. Anxiety symptoms were measured using the self-reported questionnaire Beck Anxiety Inventory. Confirmatory factor analysis was used to identify symptom dimensions. The association between dimensions and mortality, hospitalization and quality of life was investigated using stepwise cox, poisson and lineair regression models. Multivariable models included demographic, social, laboratory and clinical variables to adjust for possible confounding. RESULTS: In total 687 chronic dialysis patients were included. A Somatic and Subjective anxiety dimension were identified. Only Somatic anxiety symptoms showed an association with increased risk of hospitalization and mortality (Rate Ratio 1.73 (1.45-2.06) p = .007 and Hazard Ratio 1.65 (1.15-2.37) p = .007 respectively). These associations were independent from somatic comorbidity. All symptom dimensions of anxiety showed an association with Quality of Life. CONCLUSION: This study shows that anxiety is common in chronic dialysis patients and comprises of a somatic, subjective, and a total score. The discrimination between anxiety dimensions can be useful for clinical practice, as they are related to different clinical outcomes.

Preventability of unplanned readmissions within 30 days of discharge. A cross-sectional, single-center study.

OBJECTIVES: To identify the preventability, determinants and causes of unplanned hospital readmissions within 30 days of discharge using a multidisciplinary approach and including patients' perspectives. DESIGN: A prospective cross-sectional single-center study. SETTING: Urban teaching hospital in Amsterdam, the Netherlands. PARTICIPANTS: 430 patients were included. Inclusion criteria were: age ≥ 18 years, discharged from one of seven participating clinical departments and an unplanned readmission within 30 days. METHODS: Residents from the participating departments individually assessed whether the readmission was caused by healthcare, the preventability and possible causes of readmissions using a tool. Thereafter, the preventability of the cases was discussed in a multidisciplinary meeting with residents of all participating departments and clinical pharmacists. The primary outcome was the proportion of readmissions that were potentially preventable. Secondary outcomes were the determinants for a readmission, causes for preventable readmissions, the change in the final decision on preventability after the multidisciplinary meeting and the value of patient interviews in assessing preventability. Differences in characteristics of potentially preventable readmissions (PPRs) and non-PPRs were analyzed using multivariable logistic regression. RESULTS: Of 430 readmissions, 56 (13%) were assessed as PPRs. Age was significantly associated with a PPR (adjusted OR: 2.42; 95%, CI 1.23-4.74; p = 0.01). The main causes for PPRs were diagnostic (30%), medication (27%) and management problems (27%). During the multidisciplinary meeting, the final decision on preventability changed in 11% of the cases. When a patient interview was available, it was used as a source of information to assess preventability in 26% of readmissions. In 7% of cases, the patient interview was mentioned as the most important source. CONCLUSION AND IMPLICATIONS: 13% of readmissions were potentially preventable with diagnostic, medication or management problems being main causes. A multidisciplinary review approach and including the patient's perspective could contribute to a better understanding of the complexity of readmissions and possible improvements.

Patients' and providers' perspectives on medication relatedness and potential preventability of hospital readmissions within 30 days of discharge.

BACKGROUND: Hospital readmissions are increasingly used as an indicator of quality in health care. One potential risk factor of readmissions is polypharmacy. No studies have explored the patients' perspectives on the medication relatedness and potential preventability of their readmissions. OBJECTIVE: To compare the patients' perspectives on the medication relatedness and potential preventability of their readmissions with the providers' perspectives. METHODS: Patients unplanned readmitted within 30 days after discharge at one of the participating departments of OLVG Hospital in Amsterdam were interviewed during their readmission. Patients' perspectives regarding medication relatedness of their readmissions, the potential preventability, possible preventable interventions, and satisfaction with medication information were examined. Health-care providers also reviewed files of these readmitted patients. Primary outcome was the percentage of medication-related and potentially preventable readmissions according to the patient vs the provider. Descriptive data analysis was used. RESULTS: According to patients, 36 of 172 (21%) readmissions were medication-related, and of these, 21 (58%) were potentially preventable. According to providers, 26 (15%) readmissions were medication-related and 6 (23%) of these were potentially preventable. Patients and providers agreed on the medication relatedness in 11 of the 172 readmissions, and in two of these, agreement on the potential preventability existed. According to patients, preventive interventions belonged mostly to the hospital level, followed by the primary care level and patient level. CONCLUSION: Patients and providers differ substantially on their perspectives regarding the medication relatedness and preventability of readmissions. Patients were more likely to view medication-related readmissions as preventable.

The (cost) effectiveness of guided internet-based self-help CBT for dialysis patients with symptoms of depression: study protocol of a randomised controlled trial.

BACKGROUND: Only a minority of dialysis patients with depressive symptoms are diagnosed and receive treatment. Depressive symptoms are highly prevalent in this population and are associated with adverse clinical outcomes. Underlying factors for this undertreatment may be the lack of evidence for the safety and effectivity of antidepressant medication, the reluctance of patients to adhere to antidepressant medication, the lack of mental healthcare provision in somatic healthcare environments and end-stage renal disease (ESRD) related physical limitations that complicate face-to-face psychotherapy. Guided Internet-based self-help treatment has demonstrated to be effective for depressive symptoms in other chronic patient populations and may overcome these barriers. The aim of this study is to investigate the (cost) effectiveness of a guided Internet-based self-help intervention for symptoms of depression in dialysis patients. METHODS: This study is a cluster randomized controlled trial (RCT) that investigates the effectiveness of a 5-week Internet-based self-help Problem Solving Therapy (PST) for depressive symptoms in dialysis patients. Depressive symptoms will be measured using the Beck Depression Inventory - second edition (BDI-II), with a cut-off score of ≥10. We aim to include 206 dialysis patients with depressive symptoms who will be cluster randomized to the intervention or the Care as Usual (CAU) control group. Secondary outcomes will include anxiety symptoms, quality of life, economic costs and clinical outcomes, such as inflammatory factors and hair cortisol levels. Assessments will take place at baseline (T0), 2 weeks after intervention (T1) and 6 months (T2), 12 months (T3) and 18 months (T4) after intervention. The control group will be measured at the same time points. Analysis will be based on the intention-to-treat principle. Mixed models will be used to assess the changes within each condition between pre-treatment and post-treatment. DISCUSSION: If demonstrated to be (cost) effective, Internet-based PST will offer new possibilities to treat dialysis patients with depressive symptoms and to improve their quality of care. TRIAL REGISTRATION: Dutch Trial Register: Trial NL6648 (NTR6834) (prospectively registered 13th November 2017).

The effect of a pharmaceutical transitional care program on rehospitalisations in internal medicine patients: an interrupted-time-series study.

BACKGROUND: Medication errors at transition of care can adversely affect patient safety. The objective of this study is to determine the effect of a transitional pharmaceutical care program on unplanned rehospitalisations. METHODS: An interrupted-time-series study was performed, including patients from the Internal Medicine department using at least one prescription drug. The program consisted of medication reconciliation, patient counselling at discharge, and communication to healthcare providers in primary care. The primary outcome was the proportion of patients with an unplanned rehospitalisation within six months post-discharge. Secondary outcomes were drug-related hospital visits, drug-related problems (DRPs), adherence, believes about medication, and patient satisfaction. Interrupted time series analysis was used for the primary outcome and descriptive statistics were performed for the secondary outcomes. RESULTS: In total 706 patients were included. At 6 months, the change in trend for unplanned rehospitalisations between usual care and the program group was non-significant (- 0.2, 95% CI -4.9;4.6). There was no significant difference for drug-related visits although visits due to medication reconciliation problems occurred less often (4 usual care versus 1 intervention). Interventions to prevent DRPs were present for all patients in the intervention group (mean: 10 interventions/patient). No effect was seen on adherence and beliefs about medication. Patients were significantly more satisfied with discharge counselling (68.9% usual care vs 87.1% program). CONCLUSIONS: The transitional pharmaceutical care program showed no effect on unplanned rehospitalisations. This lack of effect is probably because the reason for rehospitalisations are multifactorial while the transitional care program focused on medication. There were less hospital visits due to medication reconciliation problems, but further large scale studies are needed due to the small number of drug-related visits. (Dutch trial register: NTR1519).

Dimensions of Depressive Symptoms and Their Association With Mortality, Hospitalization, and Quality of Life in Dialysis Patients: A Cohort Study.

OBJECTIVE: Unraveling specific dimensions of depressive symptoms may help to improve screening and treatment in dialysis patients. We aimed to identify the best-fitting factorial structure for the Beck Depression Inventory-II (BDI) in dialysis patients and to assess the relation of these structure dimensions with quality of life (QoL), hospitalization, and mortality. METHODS: This prospective study included chronic dialysis patients from 10 dialysis centers in five hospitals between 2012 and 2017. Dimensions of depressive symptoms within the BDI were analyzed using confirmatory factor analysis. To investigate the clinical impact of these dimensions, the associations between symptom dimensions and QoL, hospitalization rate, and mortality were investigated using logistic, Poisson, and Cox proportional hazard regression models. Multivariable regression models included demographic, social, and clinical variables. RESULTS: In total, 687 dialysis patients were included. The factor model that included a general and a somatic factor provided the best-fitting structure of the BDI-II. Only the somatic dimension scores were associated with all-cause mortality (hazard ratio of 1.7 [1.2-2.5], p < .007) in the multivariable model. All dimensions were associated with increased hospitalization rate and reduced QoL. CONCLUSIONS: The somatic dimension of the BDI-II in dialysis patients was associated with all-cause mortality, increased hospitalization rate, and reduced QoL. Other dimensions were associated with hospitalization rate and decreased QoL. These findings show that symptom dimensions of depression have differential association with adverse clinical outcomes. Future studies should take symptom dimensions into account when investigating depression-related pathways, screening, and treatment effects in dialysis patients.

Ethnic Differences in the Association of Depressive Symptoms with Clinical Outcome in Dialysis Patients.

BACKGROUND: Studies show mixed results on the association between depressive symptoms and adverse clinical outcomes in patients on dialysis therapy. Ethnicity may play a role in these heterogeneous results. No studies have investigated the interplay between ethnicity and depressive symptoms on clinical outcome in this patient population. This study aims to examine interaction between ethnicity and depressive symptoms on hospitalization and mortality in dialysis patients. METHODS: A multi-ethnic cohort in 10 dialysis centers included 687 dialysis patients between 2012 and 2017, with an average follow-up of 3.2 years. Depressive symptoms were measured using the Beck Depression Inventory. Interaction was assessed by investigating excess risk on an additive scale using both absolute rates and relative risks. Multivariable regression models included demographic, social, and clinical variables. RESULTS: Adverse outcomes are more pronounced in native patients, compared to immigrant patients. The risk for mortality and hospitalization is considerably higher in native patients compared to immigrants. An excess risk on an additive scale indicates the presence of possible causal interaction. CONCLUSIONS: Depressive symptoms are a risk factor for hospitalization and mortality, especially in native dialysis patients. Adverse clinical events associated with depressive symptoms differ among ethnic groups. This differential association could play a role in the conflicting findings in literature. Ethnicity is an important factor when investigating depressive symptoms and clinical outcome in dialysis patients. Future research should focus on the possible mechanisms and pathways involved in these differential associations.

Anxiety Symptoms, Mortality, and Hospitalization in Patients Receiving Maintenance Dialysis: A Cohort Study.

RATIONALE & OBJECTIVE: Anxiety symptoms are common in dialysis patients and have a large impact on quality of life. The association of anxiety symptoms with adverse clinical outcomes in dialysis patients is largely unknown. This study examined the association of anxiety symptoms with hospitalization and mortality in patients receiving maintenance dialysis. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: Maintenance dialysis patients treated at 10 dialysis centers in the Netherlands between 2012 and 2016. EXPOSURES: Time-varying symptoms of anxiety and depression using the Beck Anxiety Inventory and Beck Depression Inventory. OUTCOMES: All-cause mortality, 1-year hospitalization rate, and hospital length of stay. ANALYTICAL APPROACH: Cox proportional hazards and Poisson regression models adjusted for sociodemographic and clinical variables. Sensitivity analyses included multiple imputation of missing data and restriction to incident patients only. RESULTS: 687 patients were included, composed of 433 prevalent and 242 incident dialysis patients. Median follow-up time was 3.1 (IQR, 3.0-3.5) years, during which 172 deaths occurred. 22% of patients had anxiety symptoms and 42% had depressive symptoms. Anxiety symptoms were associated with all-cause mortality and 1-year hospitalization rate and length of stay in all multivariable models. Anxiety symptoms showed a clear dose-response relationship with mortality. LIMITATIONS: Depression and anxiety often coexist and share symptoms. The observational design of this study limits inferences about causal mechanisms between anxiety and clinical outcomes. CONCLUSIONS: Anxiety symptoms are independently associated with increased risk for mortality and 1-year hospitalization. Anxiety symptoms are a clinically relevant risk factor for morbidity and mortality in dialysis patients and warrant further research on effective treatment.

Depressive and Anxiety Symptoms in Dutch Immigrant and Native Dialysis Patients.

Due to continuing migration there is more interest in the mental health status of immigrants. The aim of this study is to determine the prevalence of depressive/anxiety symptoms in immigrant and native dialysis patients, and to explore if patient characteristics can explain differences. The Beck depression inventory and the beck anxiety inventory were used. Differences between native and immigrant patients were explored using logistic regression models adjusted for patient characteristics. The prevalence of depressive symptoms was 35% for 245 native patients and 50% for 249 immigrant patients. The prevalence of anxiety symptoms was 35% for native patients and 50% for immigrant patients. In addition, the prevalence for co-morbid depressive and anxiety symptoms was 20% for native patients and 32% for immigrant patients. Crude ORs for depressive/anxiety symptoms for immigrant patients versus native patients were 1.8 (1.2-2.5) and 1.7 (1.2-2.5), respectively. After adjustment for patient characteristics ORs remained the same. Clinicians should be aware that immigrant dialysis patients are more prone to develop depressive and anxiety symptoms. Cultural factors might play a role and should therefore be assessed in future research.

The Stability of Type D Personality in Dialysis Patients.

PURPOSE: Type D personality has been identified as an independent risk factor for survival in cardiovascular disease (CVD) patients. As CVD is present in about 50% of dialysis patients, it is of clinical interest to assess the prevalence of type D personality, the association with depressive and anxiety symptoms, and stability of type D personality in dialysis patients. METHODS: Data was used from two consecutive measurements of the DIVERS study, a prospective cohort study among chronic dialysis patients in the Netherlands. Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and the Type D Scale-14 (DS14) were used to assess depressive and anxiety symptoms and type D personality, respectively. The association of type D personality was assessed with analysis of variance F test. Stability of type D personality, depressive, and anxiety symptoms were determined by calculating Cohen's κ, and by determining the positive agreement. RESULTS: In total, 349 patients were included of which 249 patients had two measurement points. The prevalence of type D personality was 21% and type D personality was associated with depressive and anxiety symptoms (P < 0.01). Over a 6-month period, Cohen's κ was 0.52, 0.56, and 0.61 for type D personality, depressive, and anxiety symptoms, respectively. Sixty-one, 73, and 73% had a stable type-D personality, depressive, and anxiety symptoms, respectively. CONCLUSION: The presence of type D personality varies over time in dialysis patients. Therefore, type D personality is possibly more a state instead of a trait phenomenon.