Predictors Of Depression In Patients Research Articles

Frequency & Predictors of Depression in Patients of Chronic Heart Failure with Reduced Ejection Fraction (HFrEF)

Background: Clinically significant depression is estimated to occur in a significant portion of chronic heart failure (CHF) patients and increases sharply with increase in heart failure severity. However, the frequency and predictors of depression in this group of patients are underreported. This study was designed to assess frequency & predictors of depression in patients of chronic heart failure with reduced ejection fraction (HFrEF). Methods: This cross-sectional analytical study was performed in the department of Cardiology, Dhaka Medical College Hospital, Dhaka, during the period from October’2018 to Septemeber’2019. One hundred and fifty-two CHF patients with reduced ejection fraction (<40%) either admitted in the department of Cardiology or attended Cardiology OPD, Dhaka Medical College Hospital (DMCH), Dhaka who fulfilled the selection criteria were included into the study. A translated and validated Patient Health Questionnaire (PHQ-9) in Bengali was used to assess depression level in CHF patients in this study. Informed written consent was taken from each patient. Approval for the study was taken from Ethical Review Committee (ERC) of Dhaka Medical College before commencement of the study. After compiling data from all participants, statistical analyses were performed using the Statistical Package for Social Science (SPSS), version 22.0 for windows. Results: Mean age of the patients was 58.68±9.40 years, ranging from 36 to 75 years. Male predominance was noted (72% vs 28%). Overall, frequency of depression was 56%. Among the depressed patients (n=85), majority (40%) had minimal depression while 27%, 19% and 14% had mild, moderate and severe depression. respectively. Among the different risk factors, DM and sedentary lifestyle were significantly associated with depression (p<0.05). Age >65 years, sedentary lifestyle, and H/O past MI were independently associated with depression among chronic HErEF patients. Widowed patients, diabetes, hospital readmission in last 2 months before study inclusion and NYHA class III/IV were also significantly associated with depression among patients with chronic HFrEF (p<0.05). Conclusion: More than half of the patients with chronic HFrEF had concurrent depression of varied severity. Proper care of depression along with HF may improve the survival and quality of life of these patients. Bangladesh Heart Journal 2024; 39(2): 74–84

Factors predicting depression among persons post-coronary artery bypass graft surgery: A cross-sectional study in Thailand.

Coronary artery bypass graft (CABG) surgery is a highly effective coronary artery disease treatment, providing immediate relief and promising long-term benefits. However, it is a major procedure with significant risks, including the potential for depression. Many patients experience depression following CABG, which can negatively impact their overall recovery, affecting both physical and mental health. This study aimed to determine factors predicting depression in patients following CABG surgery. This cross-sectional study was conducted with data collected between January and April 2024. A total of 272 post-CABG patients from two super tertiary care hospitals in Bangkok, Thailand, were recruited through purposive sampling. All research instruments were validated and tested for reliability. Data were analyzed using multiple regression analysis. The study found that hope, optimism, illness perception, social support, and anxiety were correlated with depression (adjusted R² = 0.381), but these variables explained only 38.1% of the variance (p <0.05). Among these factors, anxiety (β = 0.311), optimism (β = 0.203), social support (β = -0.117), and illness perception (β = -0.143) were significant predictors (p <0.05), while hope was not a significant predictor. Thus, anxiety emerged as the most crucial predictor of depression in patients who have undergone CABG. Nurses play a vital role in preventing and managing depression in post-CABG patients. Screening for anxiety and addressing it can prevent depression, enhance social support, and improve outcomes. To develop effective nursing strategies, it is essential for nurses to assess anxiety and implement interventions that promote social support, optimism, and illness perception. These measures can improve care quality, reduce readmission rates, and enhance patients' overall quality of life.

High-sensitivity C-reactive protein is a predictor of depression in patients with mild traumatic brain injury

High-sensitivity C-reactive protein is a predictor of depression in patients with mild traumatic brain injury

Prevalence of depression and its association with quality of life in patients after pacemaker implantation during the COVID-19 pandemic: A network analysis.

This study was designed to investigate the prevalence and predictors of depression in patients after pacemaker implantation during the COVID-19 pandemic in addition to identifying specific depressive symptoms associated with quality of life (QOL) using network analysis (NA). This cross-sectional, observational study was conducted in China between July 1, 2021, and May 17, 2022. Descriptive analysis was used to calculate depression prevalence. Univariate analyses were used to compare differences in demographic and clinical characteristics between depressed and non-depressed patients following pacemaker implantation. Binary logistic regression analysis was used to assess factors independently associated with depression. Network analysis "expected influence," and flow function indexes were used to identify symptoms central to the depression network of the sample and depressive symptoms that were directly associated with QOL, respectively. Network stability was examined using a case-dropping bootstrap procedure. In total, 206 patients implanted with a pacemaker met the study entry criteria and completed the assessment. The overall prevalence of depression (PHQ-9 total score ≥ 5) was 39.92% [95% confidence interval (CI) = 29.37-42.47%]. A binary logistic regression analysis revealed that patients with depression were more likely to report a poor health status (p = 0.031), severe anxiety symptoms (p < 0.001), and fatigue (p < 0.001). In the network model for depression, "Sad mood," "Poor Energy," and "Guilt" were the most influential symptoms. "Fatigue" had the strongest negative association with QOL, followed by "Sad mood" and "Appetite". Depression is common among patients having undergone pacemaker implantation during the COVID-19 pandemic. Anxiety, central symptoms of depression (i.e., "Sad mood", "Poor Energy", and "Guilt") and depressive symptoms linked to QOL (i.e., "Sad mood", "Appetite", and "Fatigue") identified in this study are promising targets for interventions and preventive measures for depression in patients who have undergone pacemaker implants.

Depression in Saudi Patients with Rheumatoid Arthritis.

Depression is the most common psychiatric disorder associated with rheumatoid arthritis (RA). However, little is known about its prevalence and risk factors among Saudi patients, specifically. Therefore, this study sought to determine the prevalence and predictors of depression in patients with RA in Saudi Arabia. A cross-sectional study was conducted with patients registered at the Saudi Charitable Association for Rheumatic Diseases. Inclusion criteria were that the patients either met the American College of Rheumatology 1987 revised criteria for the classification of RA or the 2010 RA classification criteria. Demographic data and clinical variables were collected, and Beck's 21-item Depression Inventory was used to assess for depression. Of the 210 participants with RA, 171 were women (81.4%), and 39 were men (18.6%). The prevalence of depression was 68%. There were significant relationships between age, gender, marital status, and having depression. Rheumatoid factor (RF) was positive in 144 participants (68.6%), which positively correlated with the risk of having depression (P value < 0.001). Moreover, depression severity correlated with age, gender, marital status, RF positivity, and prolonged disease duration. Based on the results, depression is highly prevalent in Saudi patients with RA, especially those with positive RF and those who are female, middle-aged, and divorced. Early detection and treatment of depression in patients with RA is highly recommended to improve their quality of life and avoid unfavorable effects on RA clinical progression.

Blood Inflammatory Cytokines as Predictors of Depression in Patients With Glioma.

BackgroundDepression commonly develops as a comorbid disorder related to glioma, which affects the patients’ physical function and prognosis. Circulating inflammatory cytokines are potential predictors of depression in disparate cancers. However, less research has specifically investigated this aspect within the context of glioma.Study objectivesThe objective of this study was to investigate the occurrence of depression in patients with glioma and draw a comparison of the ability to predict it through diverse inflammatory cytokines.MethodsA total of 203 patients with stage I–IV glioma were enrolled in this study. Depression was evaluated according to the Hamilton Depression Scale, and the plasma inflammatory cytokines levels were simultaneously measured. We performed the receiver operating characteristic (ROC) analysis to confirm the abilities of identified inflammatory cytokines to predict depression.ResultsAmong the 203 patients with glioma, 135 (66.5%) showed obvious depressive symptoms. Proinflammatory cytokines, including interleukin (IL)-6 (area under the curve (AUC) = 0.76) and tumor necrosis factor (TNF)-α (AUC = 0.75), showed good performance in accurately predicting depression in patients with glioma. These inflammatory cytokines indicated great potential to be depression biomarkers regardless of the patients’ disparate treatment experience.ConclusionWith their relatively simple and time-saving measurement procedures, inflammatory cytokines should be seriously considered effective clinical screening and diagnostic tools, as well as potential biomarkers for depression in patients with glioma.

Depression screening in patients with vascular disease.

Major depression is associated with increased morbidity and mortality in vascular surgery patients. The US Preventive Services Task Force and American Heart Association recommend routine depression screening for adults, especially those with cardiovascular disease. Since routine depression screening has not been implemented in most vascular surgery clinics across the nation, we sought to determine the feasibility of depression screening and understand the prevalence and predictors of depression in patients presenting to a single institution's vascular surgery clinic over a 4month period. From June to September 2020, vascular surgery clinic patients were administered a 26-item survey that included validated scales for depression (PHQ-9), pain, frailty, alcohol dependence, and nicotine dependence. Although not validated, the Rosenberg Self-Esteem Scale was also administered. Patient charts were reviewed for demographic information and medical history. 9-digit patient zip codes were used to determine Area Deprivation Index, a measure of socioeconomic status. Univariate and multivariate analyses were performed to understand the factors associated with increased depression prevalence in the study population. A total of 140 (36.4%) of 385 patients met study inclusion criteria. 35.7% of them screened positive for mild to severe depression (PHQ-9 scores ≥5). On univariate analysis, major depression was significantly associated with lower socioeconomic status (p = 0.007), higher frailty (p < 0.001), lower self-esteem (p < 0.001), higher daily pain (p < 0.001), health problems that interfere with social activities (p < 0.001), fatigue (p < 0.001), unmarried status (p = 0.031), and lack of primary care provider (p = 0.048). Multivariate analyses significantly predicted higher frailty (B= 0.487, p = 0.007) and lower self-esteem (B= -0.413, p < 0.001) in patients with depression. Depression was not associated with gender, age, employment status, smoking status, alcohol use, or type of vascular disease. More than one-third of vascular surgery clinic patients have comorbid depression. Higher frailty and lower self-esteem are significant risk factors for depression. Prevention and early identification of frailty may improve outcomes. Depression screening in vascular surgery clinics is feasible and could be useful in determining which patients may benefit from more frequent follow-up and monitoring for associated comorbidities. Vascular surgeons may play an important role in screening for depression and referring patients for psychotherapy and/or pharmacotherapy.

Evaluation of quality of life, type D personality and emotional factors in patients undergoing angioplasty- A Prospective study

Background: Percutaneous coronary intervention (PCI) has been effective in increasing the longevity of patients with cardiovascular disease. Notwithstanding paucity of Indian studies on the psychological effects of PCI, there have been conflicting evidences with regard to improvement of quality of life in patients undergoing angioplasty. Aim: To evaluate change in the quality of life and emotional factors like depression, stress, and anxiety in patients undergoing angioplasty. Methods: This prospective longitudinal study was carried out at a tertiary care hospital and research centre in the western part of Maharashtra in a semi-urban location on 70 consecutive patients undergoing angioplasty from July 2019 to July 2021. Besides sociodemographic data patients were assessed with Type D Scale-14 (DS14), Depression Anxiety Stress Scale, and The MacNew heart disease health-related quality of life Questionnaire. After 15 days of the procedure, patients were re-evaluated with the same scales. Results: Mean age of our study population was 58.67 years of which 77.14% were men. The prevalence of Type D personality was 28.57%. There was a significant reduction in anxiety and stress scores and significant improvement in emotional and physical sub scales of Quality of life post angioplasty. On multiple regression analysis, anxiety and social inhibition emerged as predictors of depression. Conclusion: Angioplasty is associated with significant improvement in anxiety, stress, and emotional and physical subscales of Quality of life. Social inhibition, which is a component of Type D personality, anxiety, and loss of libido are significant predictors of depression in patients undergoing angioplasty.

Exploring predictors of depressive symptoms in patients with multiple sclerosis: The effect of neuropathic pain, shame, and mindfulness

IntroductionMultiple Sclerosis (MS) is a chronic inflammatory, immune-mediated, demyelinating disease of the central nervous system, with a progressive course. It is potentially disabling and affects mainly young adults. Depression is the mental disorder with the greatest comorbidity with MS and tends to worsen its symptomatology and course. However, knowledge about the predictors of depression in patients with MS is scarce.ObjectivesThis preliminary study aimed to verify whether neuropathic pain (NP), internal (IS) and external (ES) shame and mindfulness predict depressive symptoms in patients with MS.MethodsThis cross-sectional study included a convenience sample of 95 patients diagnosed with MS and without other identified neurological diseases. Participants completed the Depression Subscale of the Depression, Anxiety and Stress Scales-21, the Analogue Pain Scale of the Pain Detect Questionnaire, the External and Internal Shame Scale, and the Mindfulness Subscale of the Self-Compassion Scale.ResultsAll potential predictors exhibited significant correlations with depressive symptoms and significantly predicted this symptomatology in simple linear regression models. Thus, they were included as covariates in the multiple linear regression model. This model explained a high percentage of the variance of depressive symptoms (40.5%) and identified NP, IS and mindfulness as significant predictors.ConclusionsInterventions aimed at preventing/reducing depression in patients with MS should minimize IS and develop mindfulness and NP coping skills, in order to promote mental health in this target population and possibly prevent the exacerbation and progression of MS symptomatology.DisclosureNo significant relationships.

Predictors of Depression in Men With Peyronie's Disease Seeking Evaluation

BackgroundPeyronie's disease (PD) has negative impacts on the psychosocial status of men including depression warranting clinical evaluation in up to 50% of men. AimTo examine predictors of depression in patients with early PD seeking evaluation. MethodsAll PD patients at a high-volume PD practice underwent screening and curvature assessment after intracavernosal injection. Complex deformity was defined as any degree of multiplanar curvature, curvature >60 degrees, or presence of hourglass deformity. Men completed the PD questionnaire (PDQ), a validated depression questionnaire (CES-D) as well as the Self-Esteem and Relationship (SEAR) questionnaire. Scores of ≥16 on CES-D were considered indicative of moderate/severe depression. Predictors of the presence of depression were defined using univariable and multivariable logistic regression. OutcomesDemographic, bother and curve related predictors of depression in men with PD. Results408 men completed all questionnaires. Mean age was similar between depressed and nondepressed groups (57 ± 10 years overall, P = .60 between groups). Proportions of erectile dysfunction were similar between groups (P = .96). Mean PD duration was similar between groups (19 ± 35 months overall, P = .46 between groups). Mean degree of curvature was 38 ± 2 degrees in the depressed vs 33 ± 1 degrees in the nondepressed groups (P = .03). A complex deformity was seen in 64.5% in the depressed vs 61.5% in the nondepressed (P = .56). A total of 110 (27%) patients had CESD scores ≥16. 74% depressed men were in relationships compared to 84% nondepressed men (P < .01). Other characteristics including bother, pain, duration of disease, curve complexity and instability were similar between the two groups. On univariable analysis, factors protective against depression included being partnered (OR 0.42, 95%CI 0.24–0.75, P < .01) and higher total SEAR scores (OR 0.95, 95%CI 0.94–0.97, P < .01). Elevated PDQ domain scores were associated with depression (Psychologic Symptoms 1.05, 95%CI 1.02–1.10, P < .01; Pain 1.08, 95%CI 1.03–1.12, P < .01; Bother 1.11, 95% CI 1.05–1.68, P < .01) as well as baseline history of depression (OR 2.93, 95%CI 1.67–5.14, P < .001). On multivariable analysis, only total SEAR score remained protective against depression (OR 0.96, 95%CI 0.94–0.97, P < .001). Clinical ImplicationsProviders must recognize that men with PD seeking evaluation have meaningful rates of depression for which early recognition is necessary. Strengths and LimitationsRetrospective review of a large prospectively collected dataset from a single center of men with PD utilizing a validated screening tool for depression. ConclusionWhile no significant demographic, bother or curve related factors predicted depression in early PD men seeking evaluation, it remains a significant problem warranting further prospective evaluation.P. Nahid, N. Bruno, S. Carolyn, et al. Predictors of Depression in Men With Peyronie's Disease Seeking Evaluation. J Sex Med 2021;18:783–788.

Circulating cytokines as predictors of depression in patients with breast cancer

Depression is a common comorbid disorder associated with breast cancer, and it can have considerable physical and psychological impacts. Circulating cytokines have been proposed as a potential tool to predict depression in various diseases; however, limited studies have specifically examined it in breast cancer. In this study, we examined and compared the prediction ability of various circulating cytokines for depression in patients with breast cancer. Eighty-three patients with a new diagnosis of breast cancer not receiving chemotherapy were recruited; among them, 15 patients had depression and 68 did not have depression. Depression was evaluated using the Patient Health Questionnaire 9 (PHQ-9). Cytokine levels in the serum were measured using an immunology multiplex assay. Two types of cytokines were assayed: (1) proinflammatory cytokines (interleukin [IL]-1β, IL-2, IL-6, IL-12, IL-17A, interferon [IFN]γ, and tumor necrosis factor [TNF]α) and (2) anti-inflammatory cytokines (IL-4, IL-5, IL-10, and IL-13). Receiver operating characteristic (ROC) analysis was performed to calculate the area under the curves (AUCs), sensitivities, and specificities of circulating cytokines for predicting depression. As a result, IL-2 (AUC = 0.78) and IL-5 (AUC = 0.76) demonstrated good predictability for depression, even after controlling for the covariates (i.e. age, education, stage of cancer, surgery, radiation therapy, and hormone therapy). The optimal cut-off value of IL-2 for predicting depression was 1.06 pg/mL with a sensitivity of 86.7% and a specificity of 52.9%; this cytokine also had the best prediction ability in this study. Owing to the prediction ability and practical feasibility of circulating cytokines, they may be used as a valid laboratory diagnostic tool for depression in breast cancer.

Serum Interleukin-33 is a Predictor of Depression in Patients with Acute Ischemic Stroke.

The study aimed to investigate the relationship between serum interleukin-33 (IL-33) concentrations and poststroke depression (PSD) in patients with acute ischemic stroke (AIS). Serum IL-33 concentrations were determined using an enzyme-linked immunosorbent assay. Patients were assigned to the PSD group after a six-month follow-up if their score on the 17- item Hamilton Rating Scale for Depression was ≥7 or to the non-PSD group if their score was <7. IL-33 was used to predict the risk of PSD using multivariate logistic regression analysis, while a receiver operating characteristic (ROC) curve was used to analyze the accuracy of PSD prediction. In addition, the modified Rankin scale (mRS) was used for follow-up scoring six months after disease onset. A total of 151 AIS patients and 40 healthy controls were included in this study. ROC curve results showed that the area under the curve was 0.684 (95% confidence interval: 0.594-0.774,Ρ=0.001) for IL-33 as a predictor of PSD. When the IL-33 concentration was ≤71.85 ng/L, prediction sensitivity and specificity were 77.5% and 57.3%, respectively. Multivariate logistic regression analysis showed that IL-33 concentration of ≤71.85 ng/L was an independent predictor of PSD (95% CI: 1.129-7.515, P=0.027). The follow-up mRS data showed that serum IL-33 is a protective prognosis factor in patients with AIS (95% CI: 0.954-0.997, P=0.024). Serum IL-33 is an independent predictor of PSD and a protective prognosis factor in patients with AIS.

Predictors of Major Depressive Disorder: The Need for Social Approval and Self-Esteem.

This study aimed to investigate self-esteem and the need for social approval as predictors of depression in patients with a diagnosis of major depressive disorder (MDD). It also aimed to compare depression, self-esteem, and the need for social approval in relation to some variables. The Beck Depression Scale, Rosenberg Self-Esteem Scale, and the need for social approval scale (NSAS) were administered to 117 patients diagnosed with MDD and who applied to the Psychiatry Outpatient Clinic in Sabuncuoğlu Şerefeddin Training and Research Hospital of Amasya University, Turkey. In the analysis of the collected data, the t-test, one-way analysis of variance, Pearson's moment-product correlation coefficient, and multiple regression analysis were used. Self-esteem and NSAS subdimensions were found to explain 33% of the total variance in depression. Self-esteem was found to be the variable making the greatest contribution. Two of the subdimensions of the NSAS-sensitivity to others' judgments and leaving a positive impression-were found to have no contribution to the model. The mean score taken by the male participants from leaving a positive impression subdimension of the NSAS was found to be significantly higher than that taken by the female participants. The patients with depression who are single were found to have a significantly higher mean score from leaving a positive impression subdimension than the married patients. No significant difference was found between the variables depending on the age and education level variables. As a result, it should be noted that while evaluating patients diagnosed with MDD, the need for social approval in male patients and patients who are single can be higher than leaving a positive impression and that culture may cause people to hide the symptoms of depression. Given that there are fewer male patients applying to psychiatry clinics than female patients, it would be appropriate to refer male patients to individual counseling activities to reduce their need for approval in relation to leaving a positive impression. It is also suggested that research on anxiety, obsessive-compulsive disorder, and somatization as well as to investigate the intermediate models that address various variables between depression and the need for social approval be conducted.

Depression prevalence, its psychosocial and clinical predictors, in diabetes mellitus patients attending two health institutions of north India catering rural population.

Background:Diabetes mellitus (DM) poses a greater risk of depression and a poor quality of life (QoL). There is a limited data regarding relationship of depression to QoL in patients from rural health care settings of North India.Aim:To know the prevalence and predictors of depression in patients of DM among various sociodemographic, clinical and QoL variables.Settings and Design:This cross-sectional study was conducted in two hospitals of North India mostly catering rural population from 2014 to 2018.Materials and Methods:Sociodemographic and clinical data of DM patients was collected. They were applied Hindi translation of QoL Instrument for Indian Diabetes Patients and Patient Health Questionnaire-9. Analyses were done by Statistical Package for Social Sciences (Version 17.0, USA).Results:Among 300 patients, 25.6% had clinical depression. Illiteracy, the affect on general, emotional/mental health and role limitation by diabetes predicted risk of depression.Conclusion:Education of patients regarding self-management in DM to assure good health should be emphasised.

Competing risk analysis on visit-to-visit glucose variations and risk of depression: The Taiwan Diabetes Study

AimPatients with diabetes have higher rates of depression than does the general population, but diabetes management mainly aims to maintain glucose stability. For this reason, our study assessed the relationship between 1-year variations in fasting plasma glucose (FPG) and risk of depression in Chinese patients with type 2 diabetes (T2D). MethodsThis retrospective cohort study was conducted on 32,829 patients aged ≥30 years who were diagnosed with T2D and who participated in the National Diabetes Case Management Program in Taiwan. Their 1-year FPG variation as a predictor was determined by coefficient of variation (CV), whereas depressive events were analyzed by Cox's proportional hazards models. ResultsDuring a mean 8.23 years of follow-up, 1041 new cases of depression were diagnosed. When patients were grouped based on quartiles of FPG-CV, incidence rates were 3.23, 3.49, 3.96 and 4.80 per 1000 person-years in the first, second, third and fourth quartile subgroups, respectively. After adjusting for traditional risk factors, baseline fasting glucose and HbA1c levels, and diabetes complications, FPG-CV was independently linked with incident depression. Hazard ratios of depression for FPG-CV in the fourth vs first quartile subgroups was 1.33 (95% CI: 1.11–1.59), respectively. ConclusionPatients whose 1-year FPG variations were>42.6% had an increased risk of depression, thus suggesting that FPG variations may be a predictor of depression in patients with T2D. Also, glucose variation during outpatient visits may be an indicator for individualized diabetes management in clinical practice.

The prevalence of depression and the association between depression and kidney function and health-related quality of life in elderly patients with chronic kidney disease: a multicenter cross-sectional study.

Purpose: The prevalence of depression and the relationship between depression and kidney function and health-related quality of life (HRQOL) are not well understood in elderly patients with predialysis chronic kidney disease (CKD). This study aimed to evaluate the prevalence of depression and the association between depression and kidney function and HRQOL.Patients and methods: In this cross-sectional study, 1079 elderly participants with CKD were recruited at 32 clinical centers located within 26 cities throughout 24 provinces in China. Demographic information and laboratory analyses were collected. Symptoms of depression were assessed using the 15-item Geriatric Depression Scale (GDS-15). HRQOL was evaluated using the Kidney Disease Quality of Life-36 (KDQOL-36) instrument.Results: The prevalence of depression was 23.0%. The estimated glomerular filtration rate (eGFR) was negatively correlated with the GDS score whether it was treated as a categorical variable (r=−0.097, P=0.001) or as a continuous variable (r=−0.100, P=0.001). Marital status, education level, history of CVD and diabetes, CKD stage and proteinuria confirmed to be independent and significant predictors of depression in patients with CKD. Compared with CKD 1–2 patients, we observed an increase of 0.541 and 4.171 in the odds for developing depression in patients CKD 4 (odds ratio [OR] =1.541; P=0.031) and CKD 5 (odds ratio [OR] =5.171; P<0.001), respectively. We observed negative and significant correlations with the GDS score for the following components: PCS (r=−0.370, P<0.001), MCS (r=−0.412, P<0.001), burden of kidney disease (r=−0.403, P<0.001), symptoms and problems of kidney disease (r=−0.360, P<0.001) and effects of kidney disease (r=−0.355, P<0.001). Depression was an independent and significant predictor of all the subcomponents of the HRQOL.Conclusions: The prevalence of depression in elderly patients with CKD was high and was negatively correlated with kidney function. Depression had a major negative impact on HRQOL.

Depression in Survivors of Acute Myocardial Infarction.

Introduction:There was growing evidence of increased cardiovascular risk in patients with depressive disorders.Aim:To determinate the percentage of depression of the three investigated groups of patients with myocardial infarction and to determinate the correlation between sociodemographic characteristic and level of depression in survivors of AMI.Methods:The study was designed as observation cross-section including 120 patients treated at the University Clinic of Cardiology Skopje during 2018-2019 year, observed as 3 groups: group 1 was presented with patients during hospitalization for AMI, group 2 were patients survivors after 3 months of the acute coronary event and group 3 patients survivors after 12 months of the acute coronary event, Depression status was assessed using BDI.Results:the three groups presented almost equal representation of depression according BDI (X²=1,182, df=2, p=0,913) presented with 34,1 %, 30,8% and 30% respectively. The three groups of patients did not show significant difference according distribution of gender smoking , physical activity, stress, diabetes mellitus, age, mean BDI, BMI, Systolic BP, age of education and marital status . Only group 3 presented significantly higher diastole BP comparing in group 1 and group 2 (F=9,532, df=2,p< 0,001). The depression (BDI score) in examination groups was associated with sociodemographic and clinical parameters where female gender, higher education level, decreased BMI, smoking, decreased physical activity, younger age and single status are independent predictors of depression in patients who survived acute myocardial infarction.Conclusion:The results obtained in our study showed indicative representation of depression in patients survivors of AMI and significant association with sociodemographic and clinical parameters as predictors of depressive disorder. Regular screening for depression in patients survivors of AMI may improve the therapy decision, prognosis and the quality of patients’ life.

Frequency and predictors of depression in congestive heart failure

BackgroundDepression in congestive heart failure (CHF) patients can increase morbidity and mortality. Given the ever-rising prevalence of CHF patients with depression, it is vital that we understand the predictors of depression in these patients to identify and better manage these patients. The main objective of this study was to evaluate the frequency and predictors of depression in CHF patients. MethodsA cross-sectional study was conducted in a tertiary care hospital. Patients with a diagnosis of CHF for more than 6 months based on signs and left ventricular ejection fraction <40% were included. Patients were interviewed with the Patient Health Questionnaire-9 (PHQ-9) consisting of nine items in line with the Diagnostic and Statistical Manual (DSM) - IV criteria to assess depression. Each item was scored from 0 to 3, and a PHQ-9 score of 10 or greater suggested clinical depression. Data were analyzed on SPSS, v22, and a p < 0.05 was considered significant. ResultsOf 170 participants, 102 (60%) had depression. Among these 102 patients, 42% (n = 43) had mild depression, and the rest (n = 59) had moderate-to-severe depression. Predictors of depression were New York Heart Association stage 3 or 4 (p = 0.001), previous myocardial infarction (p = 0.001), living without a partner (p = 0.001), lack of a joint family system (p = 0.001), sedentary lifestyle (p = 0.001), aged 70 years or more (p = 0.01), and having been admitted in a hospital at least once in the past two months (p = 0.002). ConclusionDepression is common among patients with CHF. It is associated with multiple factors and needs to be addressed and targeted urgently.

Social Support, Unstable Angina, and Stroke as Predictors of Depression in Patients With Coronary Heart Disease: Erratum.

Social Support, Unstable Angina, and Stroke as Predictors of Depression in Patients With Coronary Heart Disease: Erratum.

Social Support, Unstable Angina, and Stroke as Predictors of Depression in Patients With Coronary Heart Disease.

Depression is known to adversely affect coronary heart disease patients in western countries; however, no study of social support and depression has been conducted in the Chinese population. The aim of this study was to investigate the predictors of depression in patients with coronary heart disease. Between January and December 2015, a cross-sectional sample of 105 Taiwanese patients from cardiology units completed a demographic and clinical characteristics questionnaire, Enhancing Recovery in Coronary Heart Disease Social Support Inventory, and Patient Health Questionnaire-9. Thirty-nine percent of the participants reported low social support, and 61.0% had depression symptoms. Eight factors predicted depression. Social support was significantly and adversely correlated with depression (r = -.481, P < .01). The other 7 factors were positively correlated with depression: age (r = .212, P < .05), reported monthly income of less than US $600 (F = 4.98, P = .001), lack of exercise (F = 3.75, P = .027), history of stroke (t = -2.45, P = .016) and kidney disease (t = -2.41, P = .018), unstable angina (F = 3.56, P = .031), and groin puncture (F = 3.27, P = .042). A hierarchical regression model explained 43.7% of the variance in depression. Social support, unstable angina, and stroke may be important predictors of depression in patients with coronary heart disease. These findings help clinical staff to understand physical and mental health problems in cardiovascular patients. Thus, we suggest that early depression prediction and sufficient social support can help patients to face their disease and thus improve depression and health care quality.