Sensitivity and specificity of observer and self-report questionnaires in major and minor depression following myocardial infarction

Depression assessed over 1-year survival in patients with myocardial infarction

OBJECTIVE

To estimate the prevalence of ICD-10 depression using a self-reported questionnaire and to examine if depression is associated with increased 1-year mortality in patients with myocardial infarction (MI).

METHOD

In total, 763 MI-patients completed the Major Depression Inventory at discharge. Information from hospital notes was collected and patients were followed 1 year for re-admission and mortality through national registries.

RESULTS

Seventy-three patients (9.6%) were depressed at discharge. Depression was not a significant independent predictor of mortality; however, there was a significant trend for increasing mortality with increasing severity of the depressive state (P = 0.028). All mortality among depressed patients was in patients with non-Q-wave infarction.

CONCLUSION

Ten per cent of MI-patients fulfilled diagnostic criteria for depression at discharge. There was a significant trend for increasing mortality with increasing severity of the depressive episode. All mortality among depressed patients was seen in patients with non-Q-wave infarction. These findings indicate future studies in selected subgroups of MI-patients.

A Validation Study of Two Brief Measures of Depression in the Cardiac Population: The DMI-10 and DMI-18

The authors report on the psychometric characteristics and clinical efficacy of two versions of a recently developed screening measure of depression (the DMI-18 and DMI-10) in the cardiac population. Patients with acute coronary syndrome or heart failure (N = 322) completed the DMI measures, psychosocial questionnaires, and a semistructured clinical interview during the hospital stay. The DMI-18 and DMI-10 measures have adequate psychometric properties, demonstrating high sensitivity and specificity when evaluated against clinical judgment based on a semistructured interview. The DMI-18 and DMI-10 are appropriate for use as screening instruments in cardiac patients.

Prevalence and correlates of depression in Chinese elderly patients with pneumoconiosis

Recent literature suggests that patients with pneumoconiosis may be at higher risk of developing psychiatric problems, particularly depressive illness. There are no published data on depressive disorders in elderly patients with pneumoconiosis. The aim of this study was to evaluate the prevalence and correlates of depressive disorders in a community sample of elderly Chinese patients with pneumoconiosis in Hong Kong. Two hundred and one patients with pneumoconiosis were randomly selected from the case register of the Pneumoconiosis Compensation Fund Board of Hong Kong. A psychiatrist conducted a structured clinical interview to diagnose depressive disorders according to the Diagnostic Statistical Manual for Mental Disorders, Version IV criteria. Nineteen (9.5%) patients had depressive illness. Univariate logistic regression revealed that the number of comorbid conditions, and the scores on the Lubben Social Network Scale (LSNS) and Instrumental Activities of Daily Living (IADL) were significant predictors of depressive disorders. Multivariate logistic regression analysis found that IADL and LSNS scores were the only independent predictors of depressive disorders. In conclusion, depressive disorders were common and associated with poorer functional ability and social support in patients with pneumoconiosis.

The presence and clinical implications of depression in a community population of adults with epilepsy

Depression is the most common psychiatric comorbidity in epilepsy, but clinical and other factors associated with this observation and their impact on detection and management of depression in people with epilepsy are poorly understood. This study used a community-based postal questionnaire of primary care-identified people with epilepsy. We were therefore able to explore depression in a nonspecialist care-identified population. Clinical and demographic associative factors were examined. The dependent variable was depression, as defined by a score of 11 or greater on the Hospital Anxiety and Depression Scale (HADS). The prevalence of depression in our sample (n = 499) was found to be 11.2% (95% CI: 8.3-13.7%). Depression was most strongly associated with unemployment. It was also associated with having had a recent seizure and complaints of side effects of antiepileptic medications. Depression was not associated with gender, marital status, or monotherapy or polytherapy antiepileptic medication. The prevalence of depression in epilepsy is greater than in the general population, with no associated female preponderance. Our findings underline important variations in the associative features between depression in the general population and in people with epilepsy, with particular implications for management of this comorbidity.

Prevalence of depression in survivors of acute myocardial infarction

OBJECTIVES

To assess the prevalence and persistence of depression in patients with acute myocardial infarction (AMI) and the relationship between assessment modality and prevalence.

DATA SOURCES

MEDLINE, Cochrane, CINAHL, PsycINFO, and EMBASE.

REVIEW METHODS

A comprehensive search was conducted in March 2004 to identify original research studies published since 1980 that used a standardized interview or validated questionnaire to assess depression. The search was augmented by hand searching of selected journals from October 2003 through April 2004 and references of identified articles and reviews. Studies were excluded if only an abstract was provided, if not in English, or if depression was not measured by a validated method.

RESULTS

Major depression was identified in 19.8% (95% confidence interval [CI] 19.1% to 20.6%) of patients using structured interviews (N=10,785, 8 studies). The prevalence of significant depressive symptoms based on a Beck Depression Inventory score > or =10 was 31.1% (CI 29.2% to 33.0%; N=2,273, 6 studies), using a Hospital Anxiety and Depression Scale (HADS) score > or =8%, 15.5% (CI 13.2% to 18.0%; N=863, 4 studies), and with a HADS score > or =11%, 7.3% (CI 5.5% to 9.3%; N=830, 4 studies). Although a significant proportion of patients continued to be depressed in the year after discharge, the limited number of studies and variable follow-up times precluded specification of prevalence rates at given time points.

CONCLUSIONS

Depression is common and persistent in AMI survivors. Prevalence varies depending on assessment method, likely reflecting treatment of somatic symptoms.

Social inhibition modulates the effect of negative emotions on cardiac prognosis following percutaneous coronary intervention in the drug-eluting stent era†

AIMS

Negative emotions have an adverse effect on cardiac prognosis. We investigated whether social inhibition (inhibited self-expression in social interaction) modulates the effect of negative emotions on clinical outcome following percutaneous coronary intervention (PCI).

METHODS AND RESULTS

Eight hundred and seventy-five consecutive patients from the RESEARCH registry (Erasmus Medical Centre, Rotterdam) completed depression, anxiety, negativity (negative emotions in general), and social inhibition scales 6 months following PCI. The endpoint was major adverse cardiac event (MACE-death, myocardial infarction, coronary artery bypass graft (CABG), or PCI) at 9 months following assessment. There were 100 MACE; patients who were high in both negativity and inhibition were at increased risk of MACE (38/254=15%) when compared with high negativity/low inhibition patients (13/136=10%; P=0.018). Depression (P=0.23) or anxiety (P=0.63) did not explain away this moderating effect of inhibition. High negativity/high inhibition (HR=1.92, 95%CI 1.22-3.01, P=0.005) and previous CABG (HR=1.90, 95%CI 1.04-3.47, P=0.038) were independent predictors of MACE. Patients with high negativity but low inhibition were not at increased risk (P=0.76). High negativity/high inhibition also independently predicted death/MI (n=20) as a more specific endpoint (HR=5.85, P=0.001).

CONCLUSION

The interaction effect of social inhibition and negative emotions, rather than negative emotions per se, predicted poor clinical outcome following PCI. Social inhibition should not be overlooked as a modulating factor.

Relationship between left ventricular dysfunction and depression following myocardial infarction: data from the MIND-IT

AIMS

Depression in patients following myocardial infarction (MI) is associated with an increased risk of mortality, but this association may be confounded by cardiac disease severity. We explored the relationship between left ventricular ejection fraction (LVEF) and depression in MI patients.

METHODS AND RESULTS

In the Myocardial Infarction and Depression-Intervention Trial (MIND-IT), 1989 MI patients were assessed for depressive symptoms [Beck Depression Inventory (BDI) t = 0, 3, 6, 9, and 12 months post-MI]. Patients with BDI score > or =10 were assessed for the presence of International Classification of Diseases, 10th revision (ICD-10) depressive disorder (t = 3, 6, 9, and 12 months post-MI). Patients were divided into categories according to their LVEF during hospitalization, i.e. LVEF <30%, LVEF 30-45%, LVEF 45-60%, and LVEF > or = 60%. During hospitalization, presence of depressive symptoms was higher in patients with LV dysfunction. A relationship was found between LVEF and ICD-10 depressive disorder, i.e. a lower LVEF was associated with a higher rate of depression from 3-12 months post-MI (P < 0.01). Levels of LVEF inversely correlated with the BDI score at 3 months post-MI. Associations persisted after adjustment for demographics, risk factors for coronary artery disease, co-morbidity, Killip class, and baseline BDI score.

CONCLUSION

In MI patients, the rate of depression and the severity of depressive symptoms are significantly related to the severity of LV dysfunction. The association between depression and LV dysfunction must be acknowledged when evaluating the prognostic effects of depression in cardiac patients.

The Geriatric Depression Scale should be shortened: results of Rasch analysis

BACKGROUND

The purpose of this study was to examine the unidimensionality, item fit, redundancy and differential item functioning (DIF) of the 15-item version of the Geriatric Depression Scale (GDS) in a community sample of 300 Hong Kong Chinese patients with pneumoconiosis.

METHODS

Participants were randomly selected from the case register of the Pneumoconiosis Compensation Fund Board of Hong Kong. A trained research assistant administered the GDS to all participants. A psychiatrist, who was blind to the GDS scores, conducted a structured clinical interview to diagnose depressive disorders according to the Diagnostic and Statistical Manual for Mental Disorders, Version IV (DSM-IV) criteria.

RESULTS

Of the 300 participants, 37 (12.3%) had a DSM-IV diagnosis of depressive disorders. Eleven out of 15 items (73.3%) had INFIT/OUTFIT statistics between 0.7-1.3. Abbreviated versions were created by removal of misfit and redundant items resulting in similar overall performance as the original 15-item GDS. None of the items had significant DIF for age, level of education and cognitive impairment.

CONCLUSIONS

Although the GDS was overall unidimensional, there was evidence of item redundancy indicating that a shortened version would be as adequate as the original version.

Prediction of depressive disorder following myocardial infarction data from the Myocardial INfarction and Depression-Intervention Trial (MIND-IT)

BACKGROUND

Depression following myocardial infarction (MI) is associated with complicated cardiac rehabilitation, non-compliance and poor prognosis. Whether depression following MI can be predicted from variables routinely assessed during hospitalization for MI is unknown.

METHODS

Using data from the Myocardial INfarction and Depression-Intervention Trial (MIND-IT), we identified 2,177 MI patients (mean age 63 years; 23% female). Patients were randomly divided into a derivation and a validation sample. In the derivation sample, we analyzed variables potentially associated with the development of post-MI depressive disorder, which were tested in the validation sample.

RESULTS

In the year following MI, 18.5% suffered from depressive disorder (ICD-10 criteria). In a multivariate model, factors associated with depression were younger age (OR 1.94; CI 1.38-2.74), hypercholesterolemia (OR 1.68; CI 1.08-2.61), the use of calcium channel blockers at discharge (OR 1.80; CI 1.20-2.71), and left ventricular ejection fraction (LVEF) (OR 4.14 for patients with LVEF <30%; CI (2.42-7.10). The derived predictors were tested in the validation sample. The final model yielded two clinical predictors, i.e., younger age and severe LV-dysfunction, which correctly predicted post-discharge depression status in 82.9% of the MI patients. The model yielded a high negative predictive value (89%). A positive depression questionnaire (BDI) during hospitalization increased the positive predictive value of 23% to 52%.

CONCLUSIONS

During hospitalization for MI and using a two-step strategy with common clinical variables, i.e., younger age, severe LV-dysfunction and BDI score during hospitalization, it is possible to identify MI patients with a high risk for subsequent development of depression.

The validity of the Beck Depression Inventory-Short Form as a screening and diagnostic instrument for moderate and severe depression in medical inpatients

OBJECTIVE

To examine the concurrent validity of the Beck Depression Inventory-Short Form (BDI-SF) to detect moderate and severe depressive episodes according to the International Classification of Diseases, 10th edition (ICD-10) criteria in inpatients with heterogeneous medical conditions and to set cut-off scores for its use in medical wards.

METHODS

One hundred and fifty-five patients [53% female; mean age (+/- S.D.) = 49.5 (+/- 17) years; mean number of years of education (+/- S.D.) = 6 (+/- 4) years] consecutively admitted to the adult medical wards in a General Hospital were interviewed during the first 72 h of hospitalization. The Clinical Interview Schedule [CIS] was used to make ICD-10 psychiatric diagnoses. All patients completed the BDI-SF. A "receiver operating characteristics" (ROC) curve was obtained and the sensitivity, specificity, positive and negative predictive values were calculated for different cut-off points of the BDI-SF.

RESULTS

High sensitivity and negative predictive value (NPV) were obtained with a cut-off score of 9/10 (sensitivity = 100%, specificity = 83.1%, NPV = 100%). High sensitivity and positive predictive value (PPV) were obtained with a cut-off score of 13/14 (sensitivity = 93.5%, specificity = 96%, PPV = 85.3%). The area under the ROC curve was 98.4% (95% Confidence Interval = 0.97-1.00).

CONCLUSIONS

The BDI-SF is a valid instrument for detecting moderate and severe depression in medical inpatients. For screening purposes, a 9/10 cut-off score is indicated, but if a high specificity is desired, a 13/14 cut-off score is warranted.

Concerns about the implantable cardioverter defibrillator: a determinant of anxiety and depressive symptoms independent of experienced shocks

BACKGROUND

Patients with an implantable cardioverter defibrillator (ICD) are at increased risk of anxiety disorders. In turn, anxiety has been identified as a precipitant of ventricular arrhythmias. Anxiety may in part be attributed to concerns about the ICD firing, but the relationship between ICD concerns, psychological morbidity, and shocks has not been systematically investigated. We examined the relative importance of experienced shocks versus subjective concerns about the ICD as determinants of anxiety and depressive symptoms in ICD patients.

METHODS

Consecutive surviving patients ( n = 182, response rate = 82%) having had an ICD implanted between October 1998 and January 2003 at the Erasmus Medical Centre Rotterdam were asked to fill in the ICD Patient Concerns Questionnaire and the Hospital Anxiety and Depression Scale. Clinical variables were obtained from the patients' medical records.

RESULTS

A total of 55 (30%) patients had received a shock from the ICD. Although patients who had experienced a shock scored higher on ICD concerns, ICD concerns was the only independent determinant of anxiety (odds ratio 6.35, 95% CI 2.84-14.20) and depressive symptoms (odds ratio 2.29, 95% CI 1.06-4.96) adjusting for shocks and all other factors.

CONCLUSIONS

Patient concerns about the ICD may be an important indicator of psychosocial adjustment. Screening for ICD patient concerns using the ICD Patient Concerns Questionnaire may identify patients at risk for psychological morbidity after ICD implantation.

Anxiety and depression following myocardial infarction: gender differences in a 5-year prospective study

OBJECTIVE

The aim of this study was to examine the impact of the first myocardial infarction (MI) and the relative influence of preexisting confounding factors on anxiety and depression in the following 5 years.

METHODS

A total of 23,693 participants, 35-79 years of age at baseline, attended two population-based prospective studies in 1984-1986 and in 1995-1997. They underwent physical examination and self-reported demographic, lifestyle, psychosocial, and medical health characteristics in both surveys. Outcome measure was the Hospital Anxiety and Depression rating Scale (HADS).

RESULTS

Five hundred twelve participants suffered their first MI in the last 5 years before follow-up. Women showed an increased risk for both anxiety and depression in the first 2 years post-MI, followed by a significant symptom reduction. In contrast, the risk for depression in men increased after 2 years post-MI. Anxiety and depression, low educational level, obesity, daily smoking, and physical inactivity pre-MI significantly predicted a poor psychiatric outcome at follow-up.

CONCLUSION

Five-year follow-up after MI revealed gender-specific outcomes of anxiety and depression not previously described.

Detection of psychological distress in patients with psoriasis: low consensus between dermatologist and patient

BACKGROUND

Researchers have indicated that 30-40% of patients with psoriasis suffer significant psychological distress. For the appropriate clinical management of the patient with psoriasis it is important that dermatologists are able to recognize this distress.

OBJECTIVES

To examine the level of agreement between dermatologists and patients with psoriasis as to the presence of clinically significant psychological distress.

METHODS

Forty-three consultations between dermatologists and patients with psoriasis were assessed. Following the consultation two assessments were undertaken: the patients completed measures of anxiety and depression, and the consulting dermatologists recorded whether they believed the patient to be psychologically distressed and, if so, their subsequent action. At the end of the study, all dermatologists who participated completed the Jefferson Scale of Physician Empathy.

RESULTS

Self-report questionnaires indicated that 37% and 12% of patients were identified as probable clinical cases for anxiety and depression, respectively. In general, the level of agreement between patient rating and dermatologist rating as to the presence of anxiety or depression was low (kappa statistic 0.24 and 0.26, respectively). Dermatologist empathy level did not appear to influence identification of distress. In only 39% of cases were the psychological difficulties of significantly distressed patients raised by dermatologists during the consultation.

CONCLUSIONS

Agreement between dermatologists and patients with psoriasis regarding the presence of clinically significant psychological distress was low. When dermatologists did identify patients as being anxious and/or depressed, in the majority of cases no further action was taken following the consultation. This study highlights a number of areas for improvement in the psychological management of patients with psoriasis.

Screening for Depression in the Medically Ill: A Comparison of Self-Report Measures, Clinician Judgment, and DSM-IV Diagnoses

The performance of the self-report 10-item Depression in the Medically Ill scale was observed in 210 patients as part of clinical assessment by consultation-liaison psychiatry clinicians. Both the Depression in the Medically Ill scale and the Beck Depression Inventory for Primary Care were completed by the patient, and the clinicians made their judgment of the presence and severity of "clinical depression" and DSM-IV affective disorder diagnoses. Both the Depression in the Medically Ill scale and the Beck Depression Inventory for Primary Care detected 85% of patients with DSM-IV major depressive episode. The Depression in the Medically Ill scale was slightly superior to the Beck Depression Inventory for Primary Care in its relationship to clinicians' judgments of clinical depression caseness.

Predictors of depression three months after cardiac hospitalization

OBJECTIVE

Depression occurs comorbidly in patients hospitalized for a range of cardiac conditions and procedures. This study examines the fluctuations in depressive symptomatology from index hospitalization to 3 months after hospitalization and determines predictors of depression 3 months after hospital admission for a cardiac condition or procedure.

METHODS

Baseline clinical and demographic variables collected from a prospective study of the natural history of depression in 833 hospitalized cardiac patients were entered into a multinomial regression analysis.

RESULTS

Similar proportions of participants were found to have no, mild, or moderate to severe depression at baseline and at 3 months, although 35.8% of participants had moved from one depression level to another during that period. Baseline characteristics predicting depression at 3 months after hospitalization were: a mild or moderate to severe level of depressive symptoms at hospitalization; younger age; smoking; self-reported previous diagnosis of a cardiac condition; and self-reported history of depression, anxiety, or stress.

CONCLUSIONS

The five clinically accessible variables identified as predictors in this study may assist physicians in identification of cardiac patients who are at risk of persistent depression and who may require active intervention. Given that depression in cardiac patients is related to increased mortality and morbidity and that it is currently poorly diagnosed, these findings may have implications for preventing adverse outcomes.

Comparing symptoms of depression and anxiety as predictors of cardiac events and increased health care consumption after myocardial infarction

OBJECTIVES

We sought to compare symptoms of depression and anxiety as predictors of incomplete recovery after a first myocardial infarction (MI).

BACKGROUND

Depressive symptoms have been related to post-MI mortality and health care consumption, but little is known about the effect of anxiety. We wanted to examine the effect of emotional distress on health care consumption and whether depressive symptomatology is a better predictor of prognosis than anxiety.

METHODS

Subjects were 318 men (mean age 58 years) who completed the depression, anxiety, and hostility scales from the 90-item symptom check list after they survived a first MI.

RESULTS

After an average follow-up of 3.4 years, there were 25 cardiac events (fatal or non-fatal MI). Symptoms of both depression (hazard ratio [HR] 2.32, 95% confidence interval [CI] 1.04 to 5.18; p = 0.039) and anxiety (HR 3.01, 95% CI 1.20 to 7.60; p = 0.019) were associated with cardiac events, adjusting for age, left ventricular ejection fraction, and use of antidepressants. However, a multivariate analysis including all three negative emotions indicated that symptoms of anxiety (HR 2.79, 95% CI 1.11 to 7.03; p = 0.029) explained away the relationship between depressive symptoms and cardiac events. Regarding health care consumption, anxiety (OR 2.00, 95% CI 1.24 to 3.22; p = 0.005), but not depression/hostility, was a predictor of cardiac rehospitalization and frequent visits at the cardiac outpatient clinic.

CONCLUSIONS

Symptoms of depression and anxiety were associated with cardiac events. Anxiety was an independent predictor of both cardiac events and increased health care consumption and accounted for the relationship between depressive symptoms and prognosis. Symptoms of anxiety need to be considered in the risk stratification and treatment of post-MI patients.

One year cumulative incidence of depression following myocardial infarction and impact on cardiac outcome

BACKGROUND

Major depression has been identified as an independent risk factor for increased morbidity and mortality in mixed patients populations with first and recurrent myocardial infarction (MI). The aim of this study was to evaluate whether incidence of major and minor depression is as high in a population with merely first-MI patients as in recurrent MI populations. Furthermore, it was evaluated whether in first-MI patients major and minor depression, and depressive symptoms, had an impact on cardiac mortality and morbidity up to 3 years post MI.

METHODS

A consecutive cohort of 206 patients with a first MI were included in this study. One month following MI, all patients were interviewed using the Structured Clinical Interview for DSM-IV (SCID-I-R). Three, six, nine and twelve months following MI, patients filled out three psychiatric self-rating scales for depression, the Beck Depression Inventory (BDI), the Hospital Anxiety and Depression Scale (HADS), and the 90-item Symptom Checklist (SCL-90). Patients, exceeding a previously defined cut-off value on at least one of these scales, were reinterviewed using the SCID. The BDI was applied to assess depressive symptoms in relation to cardiac outcome as the SCL-90 and HADS showed similar results. Cardiac outcome was defined as major cardiac event, i.e., death or recurrent MI, and health care consumption, i.e., cardiac rehospitalisation and/or frequent visits at the cardiac outpatient clinic. Depression outcome was assessed from 1 month post MI up to 1 year post MI whereas cardiac outcome was assessed between 1 month and 3 years post MI.

RESULTS

A 1-year incidence of 31% of major and minor depression was found in first-MI patients. The highest incidence rate for both major and minor depression was found in the first month after MI. Compared with nondepressed patients, depressed patients were younger (P=.001), female (P=.04) and were known with a previous depressive episode (P=.002). Neither major/minor depression nor depressive symptoms significantly predicted major cardiac events, but did predict health care consumption (P=.04 and P<.001, respectively).

CONCLUSIONS

Incidence of major and minor depression is similar in this first-MI patients population as in recurrent MI populations. Major/minor depressive disorder nor depressive symptoms predicted neither mortality nor reinfarction.

Psychosocial factors and their association with clinical outcomes in patients with heart failure: why clinicians do not seem to care

Poor quality of life, social isolation, depression and anxiety all have been linked to increased risk of rehospitalization and mortality in patients with heart failure. Yet, despite evidence of their importance to outcomes in heart failure patients, psychosocial factors are assessed and treated infrequently in clinical practice. Potential reasons for this include: (1) inadequate dissemination of research about the link between psychosocial factors and outcomes; (2) insufficient training in heart-mind interactions that precludes clinicians from taking advantage of what is known; (3) perceived problems with interventions or with the science of heart-mind interactions that interfere with acceptance of what is known; (4) concerns about how to measure psychosocial factors in clinical practice; and (5) lack of curiosity from clinicians about the role of psychosocial factors in their patients. In this article, each of these possible explanations is explored and recommendations suggested.

Identification, course, and treatment of depression after admission for a cardiac condition: rationale and patient characteristics for the identifying depression as a comorbid condition (IDACC) project

BACKGROUND

Given the prevalence of cardiovascular disease and the high rates of depression among cardiac patients, there is a need to develop practical ways to identify this population and provide pragmatic general-practitioner-based interventions for managing depression as a comorbid condition.

METHOD

The Identifying Depression As a Comorbid Condition (IDACC) study employed a hybrid design, incorporating a randomized controlled trial nested within a prospective cohort study. IDACC screened for depression in patients hospitalized in South Australia for a range of cardiac conditions, with outcome measures monitored for 12 months after discharge. The subgroup identified as depressed was entered into the nested IDACC trial, which tests the hypothesis that identifying depression and offering an evidence-based intervention to general practitioners, incorporating multidisciplinary telephone case conferencing, will reduce levels of depression, improve quality of life, and reduce associated economic costs.

RESULTS

At baseline, 46.3% of 1455 participants screened were classified as depression cases on the basis of their score on the Center for Epidemiological Studies Depression Scale (> or =16) or the Hospital Anxiety and Depression Scale (> or =8). Elevated scores were associated with being younger, female, divorced or separated, not employed, living alone, having a lower level of education, and having poorer health and quality of life. Nearly one fifth (19.4%) of participants had Center for Epidemiological Studies Depression Scale scores >27, which is indicative of major depression.

CONCLUSIONS

This project confirms, in an Australian setting, the high prevalence of depressive symptoms among hospitalized cardiac patients. Follow-up over 12 months will enhance understanding of the natural history of depression in cardiac patients, while the nested trial will inform on effectiveness of an intervention involving tailored advice and support to general practitioners.

A confirmatory factor analysis of the Hospital Anxiety and Depression Scale in coronary care patients following acute myocardial infarction

The utility of the Hospital Anxiety and Depression Scale (HADS) as a screening instrument for coronary care patients following acute myocardial infarction (MI) was investigated. A confirmatory factor analysis was conducted on the HADS to determine its psychometric properties in 335 MI patients over three observation points (1 week, 6 weeks and 6 months). Internal and test-retest reliabilities of the HADS total and HADS sub-scale scores were generally found to be acceptable. The underlying factor structure of the HADS comprised three distinct factors. Support was found for the use of the HADS sub-scales to assess dimensions of anhedonia, psychic anxiety and psychomotor agitation. The HADS may be a useful screening instrument to assess post-MI patients for symptoms of psychological distress. Further research is required to determine the three-factor structure of the HADS in other clinical groups.

Validity of the hospital anxiety and depression scale for use with patients with noncardiac chest pain

Consecutive patients seen in the first-heart-aid service of a university hospital and given a diagnosis of noncardiac chest pain completed the self-report Hospital Anxiety and Depression Scale. Patients with a score >or=8 on either the anxiety or depression subscale (N=266, mean age=55.81 years, SD=13.03, 143 male patients) were compared with patients scoring <8 (N=78, mean age=60.55 years, SD=10. 84, 50 male patients) by means of the Mini International Neuropsychiatric Interview. Panic disorder and/or depression identified by the diagnostic interview were highly prevalent in the group with a score >or=8 (73.3% versus 3.9% in the comparison group). The Hospital Anxiety and Depression Scale is an adequate screening instrument for the detection of affective disorders in patients with noncardiac chest pain.

A comparative study into the one year cumulative incidence of depression after stroke and myocardial infarction

BACKGROUND

The high incidence of post-stroke depression has been claimed to reflect a specific, stroke related pathogenesis in which lesion location plays an important role. To substantiate this claim, post-stroke depression should occur more often than depression after another acute, life threatening, disabling disease that does not involve cerebrovascular damage.

OBJECTIVES

To compare the cumulative one year incidence of depression after stroke and after myocardial infarction, taking into consideration differences in age, sex, and the level of handicap.

METHODS

In a longitudinal design, 190 first ever stroke patients and 200 first ever myocardial infarction patients were followed up for one year. Depression self rating scales were used as a screening instrument to detect patients with depressive symptoms. Major and minor depression was assessed at one, three, six, nine, and 12 months after stroke or myocardial infarction according to DSM-IV criteria, using the structured clinical interview from DSM-IV. The severity of depressive symptoms was measured with the Hamilton depression rating scale. Level of disability and handicap was rated with the Rankin handicap scale.

RESULTS

The cumulative one year incidence of major and minor depression was 37.8% in stroke patients and 25% in patients with myocardial infarction (hazard ratio 1.6; p = 0.06). This difference disappeared after controlling for sex, age, and level of handicap. In addition, no differences were found in the severity of depressive symptoms or in the time of onset of the depressive episode after stroke or myocardial infarction.

CONCLUSIONS

Depression occurs equally often during the first year after stroke and after myocardial infarction when non-specific factors such as sex, age, and level of handicap are taken into account. Thus the relatively high incidence of post-stroke depression seems not to reflect a specific pathogenic mechanism. Further research is needed to investigate whether vascular factors play a common role in the development of depression after stroke and myocardial infarction.

Clinical correlates of depression following myocardial infarction

OBJECTIVE

Post-MI depression increases mortality, especially in the first 18 months after MI. Identifying patients at risk for post-MI depression is therefore important. In the present study we investigated possible correlates for post-MI depression on an a priori basis.

METHOD

Based on the literature, four clinically easily attainable variables were selected as possible correlates for post-MI depression. These were prescription of benzodiazepines during acute hospitalization, cardiac complications during acute hospitalization, history of depression, and not being able to stop smoking within six months after MI. A consecutive cohort of 173 first-MI patients was screened with the SCL-90 depression scale and DSM-III-R criteria for major depression. Of this cohort 35 depressed patients were compared with 35 non-depressed post-MI patients, matched for gender, age, and severity of MI.

RESULTS

In univariate analyses, complications during hospitalisation (OR = 2.14; CI = 0.89-5.14), prescription of benzodiazepines (OR = 3.67; CI = 1.11-12.1), history of depression (OR = 3.0; CI = 0.87-10.4), and not being able to stop smoking (OR = 4.5; CI = 1.11-18.2) were clinical correlates for post-MI depression. Multivariate analyses showed that none of these variables were independent of the others in predicting depression.

CONCLUSIONS

A number of easily measurable patient characteristics identify those MI-patients at risk of post-MI depression. Further investigations should focus on the predictive value of these factors in relation to post-MI depression.