Diagnostic accuracy of self-rating scales for screening of depression in coronary artery disease patients

ObjectiveWe evaluated the internal consistency and psychometric properties of the Hospital Anxiety and Depression Scale (HADS) and the Beck Depression Inventory-II (BDI-II) for screening of major depressive episodes (MDE) in coronary artery disease (CAD) patients undergoing rehabilitation.MethodsFive-hundred and twenty-two consecutive CAD patients (72% men; mean age 58 ± 9 years) attending a rehabilitation program 2 weeks after inpatient treatment for acute ischemic cardiac events completed the HADS depression subscale (HADS-D), HADS anxiety subscale (HADS-A) and the BDI-II. Interview outcome using the Mini International Neuropsychiatric Interview (MINI) for current MDE according to the DSM-IV-TR criteria was considered as the gold standard.ResultsFifty-six (11%) patients had a current MDE. The HADS-D, HADS-A, HADS-total and BDI-II had high internal consistency. Area under the ROC curve was the highest for the BDI-II followed by the HADS. Optimal cut-off values for screening of MDE were ≥ 5 for the HADS-D, ≥ 8 for the HADS-A and ≥ 14 for the HADS-total and for the BDI-II. At optimal cut-off values the BDI-II had slightly superior psychometric properties when compared to the HADS. However, positive predictive values were low for the HADS and for the BDI-II.ConclusionsIn CAD patients undergoing rehabilitation, the HADS and BDI-II had high internal consistency. Screening for MDE at optimal cut-off values the BDI-II was slightly superior when compared to the HADS. Positive predictive values for the BDI-II and for the HADS were low indicating that a large proportion of patients with positive screening results did not meet criteria for MDE.     

Screening for anxiety and depression after stroke: Comparison of the Hospital Anxiety and Depression Scale and the Montgomery and Åsberg Depression Rating Scale

Objective

Anxiety and depression after stroke are frequent, but are often overlooked and not assessed. The aims of the study were to (1) assess the prevalence of anxiety and depression and (2) compare the performance of the Hospital Anxiety and Depression Scale (HADS) and Montgomery and Åsberg Depression Rating Scale (MADRS) as screening instruments for anxiety and depression disorders 4 months after stroke.

Methods

Stroke patients, consecutively admitted to a stroke unit, were assessed with HADS and MADRS 4 months after stroke (n=104). Depression and anxiety disorders were diagnosed using the Structured Clinical Interview for DSM-IV (SCID). Measures were compared in terms of correlations, sensitivity, specificity, positive and negative predictive value, overall agreement, kappa, and ROC curves, using DSM-IV diagnoses of “at least one current significant anxiety disorder” (Anxiety) and “any current depression” (Depression), as the clinical criteria.

Results

Anxiety occurred in 23% of patients and Depression in 19% (13% major depression, 3% minor depression, 4% dysthymia). For Anxiety, the optimal screening cut-off was 4 for HADS-A and 6 for HADS-total; for Depression, optimal cut-offs were 4 for HADS-D, 11 for HADS-total, and 8 for MADRS. At cut-offs commonly used in clinical practice for depression screening (HADS-D: 8, MADRS: 12), the MADRS performed marginally better than the HADS.

Conclusion

Anxiety is as prevalent as depression 4 months after stroke. MADRS and HADS-D perform acceptably as screening instruments for depression, and HADS-A for anxiety after stroke. However, lower HADS cut-offs than recommended for the general population should be considered for stroke patients.     

Validation of the Hospital Anxiety and Depression Scale in patients with epilepsy

ObjectiveDespite the fact that depressive disorders are the most common comorbidities among patients with epilepsy (PWEs), they often go unrecognized and untreated. The availability of validated screening instruments to detect depression in PWEs is limited. The aim of the present study was to validate the Hospital Anxiety and Depression Scale (HADS) in adult PWEs.Methods:A consecutive group of 118 outpatient PWEs was invited to participate in the study. Ninety-six patients met inclusion criteria, completed HADS, and were examined by a trained psychiatrist using Structured Clinical Interview (SCID-I) for DSM-IV-TR. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores for the HADS depression subscale (HADS-D).ResultsReceiver operating characteristic analyses showed areas under the curve at approximately 84%. For diagnoses of MDD, the HADS-D demonstrated the best psychometric properties for a cutoff score ≥ 7 with sensitivity of 90.5%, specificity of 70.7%, positive predictive value of 46.3%, and negative predictive value of 96.4%. In the case of the group with ‘any depressive disorder’, the HADS-D optimum cutoff score was ≥ 6 with sensitivity of 82.5%, specificity of 73.2%, positive predictive value of 68.8%, and negative predictive value of 85.4%.ConclusionsThe HADS-D proved to be a valid and reliable psychometric instrument in terms of screening for depressive disorders in PWEs. In the epilepsy setting, HADS-D maintains adequate sensitivity, acceptable specificity, and high NPV but low PPV for diagnosing MDD with an optimum cutoff score ≥ 7.     

The validity of the Hospital Anxiety and Depression Scale. An updated literature review

OBJECTIVE: To review the literature of the validity of the Hospital Anxiety and Depression Scale (HADS). METHOD: A review of the 747 identified papers that used HADS was performed to address the following questions: (I) How are the factor structure, discriminant validity and the internal consistency of HADS? (II) How does HADS perform as a case finder for anxiety disorders and depression? (III) How does HADS agree with other self-rating instruments used to rate anxiety and depression? RESULTS: Most factor analyses demonstrated a two-factor solution in good accordance with the HADS subscales for Anxiety (HADS-A) and Depression (HADS-D), respectively. The correlations between the two subscales varied from.40 to.74 (mean.56). Cronbach's alpha for HADS-A varied from.68 to.93 (mean.83) and for HADS-D from.67 to.90 (mean.82). In most studies an optimal balance between sensitivity and specificity was achieved when caseness was defined by a score of 8 or above on both HADS-A and HADS-D. The sensitivity and specificity for both HADS-A and HADS-D of approximately 0.80 were very similar to the sensitivity and specificity achieved by the General Health Questionnaire (GHQ). Correlations between HADS and other commonly used questionnaires were in the range.49 to.83. CONCLUSIONS: HADS was found to perform well in assessing the symptom severity and caseness of anxiety disorders and depression in both somatic, psychiatric and primary care patients and in the general population.     

Screening for depression and anxiety disorders in primary care patients

Mood and anxiety disorders are highly prevalent in primary health care. In this study we assessed performance of the Hospital Anxiety and Depression Scale (HADS) for screening of depression and anxiety disorders in a population of primary care patients. A total of 503 primary care patients consecutively admitted to the primary care medical center in Kaunas, Lithuania, completed the study. We found that the HADS subscale of depression (HADS-D) at a cutoff score of 6 or more showed the best performance screening for a major depressive episode diagnosed by means of the Mini International Neuropsychiatric Interview (MINI), with a sensitivity of 80%, specificity of 69%, positive predictive value of 80%, negative predictive value of 92%, and area under the receiver operating characteristic (ROC) curve of 0.75. Performance of the HADS-D against MINI diagnosis of dysthymia was weak. The HADS subscale of anxiety (HADS-A) at a cutoff score of 9 or more showed the best performance screening for MINI diagnosis of overall anxiety disorders, with a sensitivity of 77%, specificity of 75%, positive predictive value of 53%, negative predictive value of 90%, and area under the ROC curve of 0.76. These results suggest that in primary care patients HADS is an adequate screening instrument for the MINI diagnoses of major depressive episode, but not for dysthymia at a cutoff score of 6, and for anxiety disorders at a cutoff score of 9.     

Short Form 36 and Hospital Anxiety and Depression Scale. A comparison based on patients with testicular cancer

BACKGROUND: The aim of this study was to compare the scorings of anxiety and depression assessed by the Hospital Anxiety and Depression Scale (HADS-A [Anxiety] and HADS-D [Depression]) with the scorings on the eight subscales of Short Form 36 (SF-36) and the Physical (PCS) and Mental Component Summary (MCS) assessed by the same patients. METHOD: In a cross-sectional study 736 long-term survivors after treatment for testicular cancer (TC) completed HADS and SF-36. Pearson's correlation coefficients were calculated on item and scale level to assess the associations between the HADS and the SF-36 scales and, in particular, between HADS and PCS and MCS, respectively. Independent predictors for PCS and MCS were identified by linear regression analysis. RESULTS: HADS-A and HADS-D were significantly associated with the SF-36 summary scales. HADS-A explained 5% of the variance of PCS and 49% of the variance of MCS. The comparable figures for HADS-D were 10% and 45%, respectively. In the multivariate analysis the HADS-D scoring independently predicted the level of PCS together with the patients' educational level, long-lasting working disability and age (variance: 30%). Both HADS-D and HADS-A remained independent parameters for MCS (variance: 58%) together with the patient's civil status. HADS-D item D4 ("slowed down") was similarly associated with both PCS and MCS. CONCLUSION: In univariate analyses HADS-D and HADS-A were statistically associated with PCS and MCS. The highest r values were observed for the associations between HADS and MCS, in particular between HADS-A and MCS. In the multivariate analyses HADS-D, but not HADS-A, contributed to PCS, whereas both HADS-A and HADS-D were associated with MCS. This pattern of different predictions of the summary scales of SF-36 supports a clinical practice that anxiety and depression should be assessed separately. Additional use of a self-rating instrument for depression and anxiety, such as HADS, is recommended when SF-36 is used for quality of life (QL) assessment.     

A psychometric evaluation of the Hospital Anxiety and Depression Scale for the medically hospitalized elderly

Background: Few psychometric studies of the Hospital Anxiety and Depression Scale (HADS) scale have been performed with clinical samples of elderly individuals. Methods: The participants were 484 elderly (65–101 years, 241 men) patients in an acute medical unit. The HADS, the Montgomery–Aasberg Depression Rating Scale (MADRS) and questionnaires assessing quality of life, functional impairment, and cognitive function were used. The psychometric evaluation of the HADS included the following analyses: 1) the internal construct validity by means of principal component analysis followed by an oblique rotation and corrected item–total correlation; 2) the internal consistency reliability by means of the alpha coefficient (Cronbach's) and 3) concurrent validity by means of Spearman's rho. Results: We found a two-factor solution explaining 45% of the variance. Six of seven items loaded adequately (≥0.40) on the HADS-A subscale (item 7 did not) and five of seven items loaded adequately on the HADS-D subscale (items 8 and 10 did not). Cronbach's alpha for the HADS-A and HADS-D subscale was 0.78 and 0.71, respectively. The correlation between HADS-D and the MADRS, a measure of the concurrent validity, was 0.51. Conclusion: The HADS appears to differentiate well between depression and anxiety. The internal consistency of the HADS in a sample of elderly persons was as satisfactory as it is in samples with younger persons. In contrast to younger samples, item 8 (“I feel as if I have slowed down”) did not load adequately on the HADS-D subscale. This may be attributed to the way elderly people experience and describe their symptoms.     

An evaluation of two self-report screening measures for mood in an out-patient chronic heart failure population

OBJECTIVE: To examine the criterion validity of the Hospital Anxiety and Depression Scale (HADS) and the Geriatric Depression Scale 15-item (GDS-15) in a community sample of Chronic Heart Failure (CHF) out-patients. METHODS: Eighty-eight of 203 older adults with confirmed CHF responded to a postal survey and participated in a face-to-face interview. The GDS-15 and HADS were compared to diagnoses from the Structured Clinical Interview for DSM-IV (SCID-I), using a receiver operating characteristic (ROC) analysis and positive and negative predictive values, sensitivity and specificity for various cut-off points. RESULTS: For all depressive disorders, the area under the ROC curve for the GDS-15 was 0.883 and a cut-off of 5 gave a sensitivity of 0.818 and a specificity of 0.833. The area under the ROC curve for the HADS Depression (D) and Anxiety (A) were 0.889 and 0.941 respectively. At a cut-off of 7, the HADS-A gave a sensitivity of 0.938 and a specificity of 0.847. At a cut-off of 4, the HADS-D gave a sensitivity of 0.864 and a specificity of 0.788. CONCLUSIONS: The GDS-15 and HADS are valid screening tools for detecting depression in aged CHF out-patients. However, use of the HADS requires reduced cut-points to ensure that patients with mood disorder are not missed in this population.     

Anxiety and depression in cancer patients: relation between the Hospital Anxiety and Depression Scale and the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire

BACKGROUND: The emotional functioning (EF) dimension of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ C33) and the Hospital Anxiety and Depression Scale (HADS) evaluate anxiety and depression. We wanted to compare cancer patients' responses to EF with those to HADS, as well as the impact of anxiety and depression on the quality of life (QL) dimensions of the EORTC QLQ C33. METHOD: A total of 568 cancer patients completed both the EORTC QLQ C33 and HADS at the same occasion. The association between the patients' EF scorings and their HADS scores was analyzed by multiple linear regression. Gender and age were included as covariates. RESULTS: Statistically significant negative relations were found between EF and HADS-A (anxiety), HADS-D (depression) and HADS-T (total score), respectively, with the highest correlation coefficient for HADS-A. Older patients and males reported less emotional distress assessed by the EF scale than younger ones and females with comparable HADS-T or HADS-D scores. Both HADS-A and HADS-D were significantly related to other QL dimensions, and depression was a stronger predictor for reduced QL than anxiety. CONCLUSION: The EF dimension of EORTC QLQ C33 predominantly assesses anxiety, whereas depression is rated to a lesser degree. Combined with significant age and gender relations, this implies a risk of underdiagnosed depression, if the EORTC QLQ C33 is used as the only instrument to screen for psychological distress in cancer patients. As depression has a stronger impact on global QL of cancer patients than anxiety, the use of an additional instrument is recommended for assessment of depression.     

Reliability and validity of a Chinese version of the HADS for screening depression and anxiety in psycho-cardiological outpatients

Aim

The Hospital Anxiety and Depression Scale (HADS) has been used widely with cardiovascular patients. This study aims to examine the reliability and validity of a Chinese version of HADS among psycho-cardiological outpatients.

Methods

One hundred psycho-cardiological outpatients were asked to complete the Chinese version of HADS and were then interviewed according to the Mini International Neuropsychiatric Interview, Version 5 (MINI).

Results

According to the MINI, 38 outpatients were diagnosed with major depression and 15 outpatients were diagnosed with an anxiety disorder. Compared with the MINI diagnoses, the optimum cutoff value of the anxiety subscale (HADS-A) was six (6) with a sensitivity of 81.6%, specificity of 75.8%, positive predictive value (PPV) of 54.0% and negative predictive value (NPV) of 91.9%; at the optimum cutoff value of nine (9), the depression subscale (HADS-D) had a sensitivity of 80.0%, specificity of 92.9%, PPV of 52.2% and NPV of 96.1%. The Cronbach's alpha coefficients of the HADS-A and HADS-D subscales were 0.753 and 0.764, respectively. The areas under the ROC curves of the HADS-A and the HADS-D subscales, as compared to MINI diagnoses of anxiety and depression, were 0.81 (SE = 0.05, 95%CI: [0.73, 0.90]) and 0.86 (SE = 0.05, 95%CI: [0.77, 0.94]), respectively.

Conclusions

The HADS was found to be a reliable measurement tool for excluding depression and anxiety in psycho-cardiological outpatients.     

Rasch analysis of the scoring scheme of the HADS Depression subscale in Chinese stroke patients

The Hospital Anxiety and Depression Scale (HADS) is a widely used screening instrument for depression in medically ill patients. The purpose of this study was to examine the optimal scoring scheme, unidimensionality and item fit of the depression subscale of the HADS (HADS-D) in stroke survivors. A research assistant administered the HADS-D to 100 Chinese patients with acute stroke who were consecutively admitted to a general hospital. A psychiatrist, who was blind to the HADS-D scores, administered the SCID-DSM-III-R to all 100 patients and made a DSM-IV diagnosis of depression, which served as the benchmark for judging the performance of the HADS-D in screening for depression. Rasch analysis has shown that the HADS-D was unidimensional; low endorsements for the higher coded alternative response categories were found in the sample. In clinical samples with a low frequency of depression, the scoring categories of the HADS-D may be reduced.     

Examining item bias in the anxiety subscale of the Hospital Anxiety and Depression Scale in patients with chronic obstructive pulmonary disease

The Hospital Anxiety and Depression Scale (HADS) is a widely used screening instrument for depression and anxiety in medically compromised patients. The purpose of this study was to examine the differential item functioning (DIF) of the anxiety subscale of the HADA (HADS-A). A research assistant administered the HADS-A to 166 Chinese patients with chronic obstructive pulmonary disease (COPD) who were consecutively admitted to a rehabilitation hospital. Although the HADS-A was overall uni-dimensional, there were one mute item and two items with borderline misfit. Only one item had a DIF for arterial oxygen saturation. No item had DIF for other indicators of the severity of COPD. In conclusion, this study found that for one item the HADS-A has significant item bias for the severity of disease in patients with COPD.     

Screening for depression in people with epilepsy: Comparative study among Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Hospital Anxiety and Depression Scale Depression Subscale (HADS-D), and Beck Depression Inventory (BDI)

PurposeWe aimed to assess and compare the psychometric properties of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), Hospital Anxiety and Depression Scale Depression Subscale (HADS-D), and Beck Depression Inventory (BDI) as screening instruments for depression and suicidality in people with epilepsy.MethodsOne hundred twenty-six people (54% women) diagnosed with epilepsy were recruited and evaluated on their sociodemographic and clinical features. Depression and suicide risk were assessed with a structured psychiatric interview, the Mini International Neuropsychiatric Interview (MINI-Plus), and the performance of NDDI-E, HADS-D, and BDI was evaluated.ResultsThe sensitivity and specificity of BDI for the diagnosis of depression was around 90%; HADS-D and NDDI-E have sensitivity higher than 80%, and specificity was greater than 75%. For identifying suicide risk, the NDDI-E sensitivity was 92.9%, and HADS-D sensitivity was 85.7%, and a reasonable specificity (68%) was observed for both instruments. All instruments showed a negative predictive value of over 90%. Comparisons of the areas under the ROC curve for these instruments were not significantly different regarding depression or moderate/severe risk of suicide.ConclusionAll three instruments evaluated have clinical utility in the screening of depression in people with epilepsy. Both NDDI-E and HADS-D are brief efficient screening instruments to identify depression in people with epilepsy. The BDI is a more robust instrument, but it takes longer to apply, which hampers its use by busy clinicians and by people with cognitive impairment.     

Validation of diagnostic tests for depressive disorder in drug-resistant mesial temporal lobe epilepsy

PurposeThis study aimed to evaluate the diagnostic accuracy of the Hamilton Rating Scale for Depression (HRSD), the Beck Depression Inventory (BDI), the Hospital Anxiety and Depression Scale (HADS), and the Hospital Anxiety and Depression Scale-Depression subscale (HADS-D) as diagnostic tests for depressive disorder in drug-resistant mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS).MethodsOne hundred three patients with drug-resistant MTLE-HS were enrolled. All patients underwent a neurological examination, interictal and ictal video-electroencephalogram (V-EEG) analyses, and magnetic resonance imaging (MRI). Psychiatric interviews were based on DSM-IV-TR criteria and ILAE Commission of Psychobiology classification as a gold standard; HRSD, BDI, HADS, and HADS-D were used as psychometric diagnostic tests, and receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores.ResultsFor all the scales, the areas under the curve (AUCs) were approximately 0.8, and they were able to identify depression in this sample. A threshold of ≥ 9 on the HRSD and a threshold of ≥ 8 on the HADS-D showed a sensitivity of 70% and specificity of 80%. A threshold of ≥ 19 on the BDI and HADS-D total showed a sensitivity of 55% and a specificity of approximately 90%. The instruments showed a negative predictive value of approximately 87% and a positive predictive value of approximately 65% for the BDI and HADS total and approximately 60% for the HRSD and HADS-D.ConclusionsHRSD ≥ 9 and HADS-D ≥ 8 had the best balance between sensitivity (approximately 70%) and specificity (approximately 80%). However, with these thresholds, these diagnostic tests do not appear useful in identifying depressive disorder in this population with epilepsy, and their specificity (approximately 80%) and PPV (approximately 55%) were lower than those of the other scales. We believe that the BDI and HADS total are valid diagnostic tests for depressive disorder in patients with MTLE-HS, as both scales showed acceptable (though not high) specificity and PPV for this type of study.     

Detection and treatment of depressive and anxiety disorders among cancer patients: feasibility and preliminary findings from a liaison service in an oncology division

Our aim in this observational study was to evaluate the feasibility of a multiphasic screening project for the detection and treatment of mood and anxiety disorders among cancer patients in a natural setting. One hundred sixty-five patients with cancer, consecutively admitted to the Oncology Division of San Camillo-Forlanini Hospital, were recruited to the study. All patients had solid tumors; the majority of them were colon, breast, and lung cancers. All patients completed the Hospital Anxiety and Depression Scale (HADS). Patients screened as positive were administered the following instruments by a psychiatrist: the Structured Clinical Interview for DSM-IV (SCID-I), the Beck Depression Inventory (BDI), the Hamilton Anxiety Rating Scale (HARS), and a validated scale for the rapid dimensional assessment of psychopathology (SVARAD). The BDI, HARS, and SVARAD were administered again at 4 and 10 weeks to all treated patients. Out of 45 patients administered the SCID-I, 37 had a mood or anxiety disorder. Adjustment disorders were identified in 20 patients, depressive disorders in 14, and anxiety disorders in three patients. Most patients were prescribed psychotropic medications: mirtazapine was prescribed to 15 patients, citalopram to 13 patients, and escitalopram to four patients. A significant improvement in symptoms of depression and anxiety was observed on all measures (P<.001). Although the design of the study prevents any firm conclusions about effectiveness, this study suggests that including psychiatric expertise in an oncology division is feasible and may lead to improved detection and treatment of psychiatric disorders among cancer patients. Further randomized trials are needed to elaborate on our findings.     

Coping, affective distress, and psychosocial adjustment among people with traumatic upper limb amputations

OBJECTIVE: This study investigated the prevalence of symptoms of depression and anxiety in a sample of predominantly elderly males with acquired upper limb amputations (n=138) and examined the contribution of coping strategies to the prediction of psychosocial adjustment. METHOD: One hundred and thirty-eight men with injury-related upper limb amputations completed self-report questionnaires assessing coping strategies, symptoms of anxiety and depression, and psychosocial adaptation to prosthesis use. RESULTS: Prevalence of significant depressive symptoms was 28.3% [Hospital Anxiety and Depression Scale, Depression subscale (HADS-D) score > or =8]. Prevalence of significant anxiety symptoms was 35.5% [HADS Anxiety subscale (HADS-A) score > or =8]. Coping styles emerged as important predictors of psychosocial adaptation. In particular, avoidance was strongly associated with psychological distress and poor adjustment. CONCLUSIONS: These findings suggest the potential benefits of interventions to reduce reliance on avoidant coping and stimulate more problem-focused approaches to coping with difficulties and challenges in order to facilitate adaptation and prevent problems in psychosocial functioning postamputation.     

Screening for depression in women with metastatic breast cancer: a comparison of the Beck Depression Inventory Short Form and the Hospital Anxiety and Depression Scale

OBJECTIVE: To compare two self-report questionnaires for identifying possible depression in women with metastatic breast cancer. METHOD: We conducted structured psychiatric interviews and administered the Beck Depression Inventory Short Form (BDI-SF) and Hospital Anxiety and Depression Scale (HADS) to 227 women with stage IV breast cancer. The accuracy for identifying DSM-IV-defined major and minor depression was examined. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated and receiver operating characteristic curves plotted. RESULTS: Seventy-four (32.6%) patients satisfied DSM-IV criteria for a depressive disorder. With a cut-off of 4, the BDI-SF had a sensitivity of 0.84, specificity of 0.63, and PPV of 0.52. A cut-off of 11 on the HADS-Depression scale (HADS-D) resulted in sensitivity, specificity, and PPV of 0.16, 0.97, and 0.75, respectively. For major depression alone, the BDI-SF with a cut-off of 5 had excellent sensitivity but poor PPV; the HADS, with a cut-off of 7, had weak sensitivity and PPV. CONCLUSIONS: Overall, the two scales perform similarly in identifying major depression, while the BDI-SF is the more useful in screening for DSM-IV major or minor depression categories in this clinical group.     

Effect of a novel designed intensive patient care program on cognitive impairment,anxiety, depression as well as relapse free survival in acute ischemic stroke patients: a randomized controlled study

ABSTRACT

Objective: We aimed to evaluate the influence of a novel designed intensive patient care program (IPCP) on cognitive impairment, anxiety, depression and relapse-free survival (RFS) in acute ischemic stroke (AIS) patients.

Methods: Two hundred forty-two AIS patients were consecutively recruited in this randomized controlled study and randomly allocated to IPCP group or control group as 1:1 ratio. Patients received IPCP and conventional treatment in IPCP group, while received usual education, cognitive rehabilitation training and conventional treatment in control group for 12-month intervention. Cognitive impairment, anxiety and depression were assessed by Mini-Mental State Examination (MMSE), Hospital Anxiety and Depression Scale (HADS) anxiety (HADS-A), and HADS depression (HADS-D) at baseline (M0), month (M)3, M6 and M12. After intervention, patients were followed up until 2018/7/30 and RFS was calculated.

Results: IPCP increased MMSE score at M12 and change of MMSE score (M12-M0), while decreased cognitive impairment rate at M12. For anxiety, decreased change of HADS-A score (M12-M0) and lower anxiety rate at M12 were observed in IPCP group compared to control group. For depression, decreased HADS-D score at M6 and M12, reduced change of HADS-D score (M12-M0) and lower depression rate at M12 were shown in IPCP group compared to control group. Besides, RFS was numerically longer in IPCP group compared to control group, but without statistical significance.

Conclusions: IPCP presents with a positive influence on improving cognitive impairment and decreasing anxiety as well as depression, while a less effect on improving RFS in AIS patients.

Abbreviation: IPCP: intensive patient care program; RFS: relapse free survival; AIS: acute ischemic stroke; MRA: magnetic resonance angiography; ITT: intention-to-treat; LOCF: last observation carried forward     

Using the Hospital Anxiety and Depression Scale to screen for depression in cardiac patients

OBJECTIVE: There is an increasing interest in trying to identify patients with chronic physical illness who would benefit from interventions to decrease psychological distress. The Hospital Anxiety and Depression Scale (HADS) is one measure that can be effectively used to identify patients struggling with anxiety and/or depression in addition to comorbid medical illness such as cardiac disease. The aim of this study is to determine if the HADS correctly identified patients with depression according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition [determined using the Primary Care Evaluation of Mental Disorders (PRIME-MD), a gold-standard diagnostic tool], as depressed and to determine which items on the HADS most strongly predicted the PRIME-MD major depression diagnosis among cardiac patients. METHOD: Patient data were obtained from a randomized controlled trial of treatment for psychological distress in patients surviving recent myocardial infarction or life-threatening ischemic heart disease. The HADS was used to evaluate depression and/or anxiety among patients hospitalized for heart disease, and the PRIME-MD was used to diagnose major depressive disorder (MDD) in these patients. We used receiver-operating characteristic (ROC) curves and logistic regression to analyze patient responses to both of these measures. RESULTS: Among the 79 study patients, the area under the ROC curve (AUC) for the HADS depression subscale was 0.81 with an S.E. of 0.05, and the AUC was 0.70 for the HADS anxiety subscale with an S.E. of 0.06. Using a cutoff of 7 on each HADS subscale to determine PRIME-MD diagnosis of MDD, the sensitivity and specificity were 81% and 54%, respectively, for the depression subscale and 81% and 40%, respectively, for the anxiety subscale. In addition, a few individual HADS items predicted PRIME-MD diagnosis of MDD, namely, concentration and positive anticipation (depression items) and relaxed and worry (anxiety items), each of which were strongly correlated with PRIME-MD diagnosis of MDD. Finally, items positive anticipation and relaxed provided reasonable approximations to the results found from the HADS depression subscale measure, which performed better than the HADS anxiety subscale in predicting PRIME-MD diagnosis of depression. CONCLUSIONS: Using the HADS to detect mental disorders in primary care populations can save valuable physician time, and perhaps ensure that patients are treated for their mental distress as well as medical disease.     

Depression among cancer patients

Abstract This study was done to investigate the frequency of co-morbidity and to demonstrate the best method for assessing depression among cancer patients. The subjects were 50 (25 male and 25 female) cancer patients and 50 (25 male and 25 female) medically ill patients. All subjects were interviewed by psychiatrists and were administered psychological tests such as SAS (self-rating anxiety scale), SDS (self-rating depression scale), POMS (Profile of Mood States), HADS (Hospital Anxiety and Depression Scale) and DRP (Depression-related personality traits). The psychiatric interview revealed that 44% of cancer patients and 38% of the medical patients had mental disorders according to DSM-IV. The most frequently observed disorder was depression, which was seen in 28% of the cancer patients and 30% of the medical patients. The cancer patients with depression scored significantly higher on the DRP and the Anger mood state of POMS than did the medically ill patients with depression. In addition, most psychological tests employed had no discrimination between depressed and normal subjects among the cancer and the medical patients. However, it was found that the Depression scale in HADS (HADS-D) split depressed patients from normal subjects since the HADS-D was composed of items that were not concerned with physically ill conditions.