Adomas Bunevicius

Psychosocial risk factors for depression during pregnancy

Objective. To assess the prevalence of antenatal depressive disorder in different trimesters and to evaluate the relation of psychosocial risk factors to antenatal depressive disorder. Design. Cohort follow‐up. Setting. University Hospital, Kaunas, Lithuania. Sample. Two hundred and thirty pregnant women consecutively admitted. Methods. At 12–16 weeks, 22–26 weeks, and 32–36 weeks of pregnancy, participants were screened for depression using the World Health Organizations Composite International Diagnostic Interview Short Form (CIDI‐SF). Women who gave at least one positive answer to the CIDI‐SF depression‐screening question were evaluated for depressive disorder using the non‐patient version of the Structured Clinical Interview for DSM‐III‐R (SCID‐NP). Psychosocial stressors and two Big Five Personality dimensions, neuroticism and extraversion, were also evaluated. Main outcome measures. Prevalence of depressive disorder. Results. The prevalence of the antenatal depressive disorder at 12–16 weeks’ gestation was 6.1%, at 22–26 weeks 3.5%, and at 32–36 weeks 4.4%. In the first trimester, a greater prevalence of current depressive disorder was independently associated with unplanned and unwanted pregnancy, high neuroticism, low education, and a previous history of depression; in the second trimester with unplanned and unwanted pregnancy and high neuroticism; in the third trimester with unplanned and unwanted pregnancy, high neuroticism, and the occurrence of psychosocial stressors during the last year. Conclusions. The highest prevalence of depressive disorders was found in the first trimester, the lowest in mid‐pregnancy. Several determinants (unwanted and unplanned pregnancy, high neuroticism) were independent predictors of antenatal depressive disorders throughout whole pregnancy, while other determinants (low education, previous history of depression, the occurrence of psychosocial stressors at the end of pregnancy) were trimester specific.

Symptoms of Anxiety and Depression in Medical Students and in Humanities Students: Relationship With Big-Five Personality Dimensions and Vulnerability To Stress

Aims: To evaluate the prevalence of anxiety and depression in medical students and in humanities students. To assess the relationship between symptoms of anxiety, symptoms of depression and Big-Five personality dimensions and vulnerability to stress in medical students. Methods: Randomly selected 338 medical students and 73 humanities students were evaluated for symptoms of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS), for Big-Five personality dimensions using the Ten-Item Personality Inventory (TIPI), and for vulnerability to stress using the Stress Vulnerability Scale (SVS). Results: Symptoms of anxiety and symptoms of depression were prevalent in medical students (43% and 14%, respectively) and in humanities students (52% and 12%, respectively). In medical students the score on the HADS anxiety subscale and the score on the HADS depression subscale correlated negatively with the score on the TIPI Emotional Stability scale (r = —0.39, p < 0.01 and r = —0.2, p < 0.01, respectively) and correlated positively with the score on the SVS (r = 0.38, p < 0.01 and r = 0.44, p < 0.01, respectively). Conclusions: Symptoms of anxiety and depression are prevalent in medical students and in humanities students. Severity of symptoms of anxiety and symptoms of depression in medical students is negatively related to emotional stability and positively related to stress vulnerability.

Screening for antenatal depression with the Edinburgh Depression Scale

This study aimed to evaluate how precise the Edinburgh Depression Scale (EDS) is in screening for major depressive disorder (MDD) during different periods of pregnancy. A random sample of 230 pregnant women was interviewed in the first, second, and third trimesters of pregnancy using the EDS and not-patient version of the Structured Clinical Interview for DSM-III-R (SCID-NP). We evaluated test-retest reliability of the EDS; area under the ROC curve (AUC), sensitivity, specificity, and positive predictive value (PPV) of the EDS against the SCID-NP diagnoses in the first, second, and third trimesters of pregnancy. Test–retest reliability of the EDS was 0.81 (p < 0.001). An optimal cutoff score of the EDS for screening current SCID-NP diagnosis of MDD was 12 and higher in the first trimester of pregnancy (AUC 0.94, sensitivity 92%, specificity 95%, and PPV 52%) and 11 and higher in the second and third trimesters of pregnancy (AUC 0.96 and 0.90, respectively; sensitivity 100% and 88%, respectively; specificity 92% and 92%, respectively; PPV 25% and 29%, respectively). The EPDS is a reliable instrument for repeated evaluations of depressive symptoms during pregnancy. It has a good sensitivity and specificity for detecting antenatal MDD with optimal cutoff of 11/12 or higher.

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

OBJECTIVE We 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. METHODS Five-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. RESULTS Fifty-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. CONCLUSIONS In 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 disorders in patients with coronary artery disease

BackgroundAnxiety disorders are prevalent and associated with poor prognosis in patients with coronary artery disease (CAD). However, studies examining screening of anxiety disorders in CAD patients are lacking. In the present study we evaluated the prevalence of anxiety disorders in patients with CAD and diagnostic utility of self-rating scales for screening of anxiety disorders.MethodsFive-hundred and twenty-three CAD patients not receiving psychotropic treatments at initiation of rehabilitation program completed self-rating scales (Hospital Anxiety and Depression Scale or HADS; Spielberger State-Anxiety Inventory or SSAI; and Spielberger Trait-Anxiety Inventory or STAI) and were interviewed for generalized anxiety disorder (GAD), social phobia, panic disorder and agoraphobia (Mini-International Neuropsychiatric Interview or MINI).ResultsThirty-eight (7%) patients were diagnosed with anxiety disorder(s), including GAD (5%), social phobia (2%), agoraphobia (1%) and panic disorder (1%). Areas under the ROC curve of the HADS Anxiety subscale (HADS-A), STAI and SSAI for screening of any anxiety disorder were .81, .80 and .72, respectively. Optimal cut-off values for screening of any anxiety disorders were ≥8 for the HADS-A (sensitivity = 82%; specificity = 76%; and positive predictive value (PPV) = 21%); ≥45 for the STAI (sensitivity = 89%; specificity = 56%; and PPV = 14%); and ≥40 for the SSAI (sensitivity = 84%; specificity = 55%; PPV = 13%). In a subgroup of patients (n = 340) scoring below the optimal major depressive disorder screening cut-off value of HADS-Depression subscale (score <5), the HADS-A, STAI and SSAI had moderate-high sensitivity (range from 69% to 89%) and low PPVs (≤22%) for GAD and any anxiety disorders.ConclusionsAnxiety disorders are prevalent in CAD patients but can be reliably identified using self-rating scales. Anxiety self-rating scales had comparable sensitivities but the HADS-A had greater specificity and PPV when compared to the STAI and SSAI for screening of anxiety disorders. However, false positive rates were high, suggesting that patients with positive screening results should undergo psychiatric interview prior to initiating treatment for anxiety disorders and that routine use of anxiety self-rating scales for screening purposes can increase healthcare costs. Anxiety screening has incremental value to depression screening for identifying anxiety disorders.

Brain Lesions Manifesting as Psychiatric Disorders: Eight Cases

Sometimes patients with organic brain lesions in neurologically silent brain areas might present only with psychiatric symptoms, such as depression, anxiety disorders, schizophrenia, anorexia nervosa, or cognitive dysfunction. This study presents eight cases of patients with brain lesions (four cases of meningiomas, one case of intracerebral cysts, one case of anaplastic oligodendroglioma, one case of multiform glioblastoma, and one case of occlusive hydrocephalus) who, for a significant period of time, were diagnosed and treated for psychiatric disorders (three cases of Alzheimers disease, two cases of schizoaffective disorder, one case of schizophrenia, one case of depression, and one case of organic emotional lability disorder). When neurologic symptoms developed, they underwent neuroimaging studies and organic brain lesions were diagnosed. Further treatment required neurosurgical interventions. These cases show that brain tumors can be neurologically silent for a sufficient period of time and manifest as psychiatric disorders. Therefore, neuroimaging studies are needed when atypical changes in mental status or neurologic symptoms and signs develop.

Depression but not anxiety is associated with metabolic syndrome in primary care based community sample

INTRODUCTION Metabolic syndrome (MetS) and depression are considered important risk factors for diabetes and cardiovascular disease. Recent evidence suggests that depression can be an important predictor of MetS. Data on the association between anxiety and MetS remain mixed. In a large primary care based community sample we investigated an association of depressive and anxiety disorders and symptoms with MetS. METHODS A total of 1115 (51% men, mean age 62.0 ± 9.6 years) randomly selected individuals of 45 years and older were evaluated for: (i) MetS using the World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III) and International Diabetes Federation (IDF) criteria; (ii) current major depressive episode (MDE) and current generalized anxiety disorder (GAD), the Mini International Neuropsychiatric interview; (iii) lifetime MDE; and (iv) symptoms of depression and anxiety, the Hospital Anxiety and Depression scale (HADS). Socio-demographic characteristics (education, residence, marital status and social status) and medical histories (physical activity, smoking status, alcohol consumption and histories of myocardial infarction and stroke) were also evaluated. RESULTS After adjusting for socio-demographic status, medical histories and current GAD, current MDE and lifetime MDE were associated with greater prevalence of MetS according to the WHO criteria (OR=1.7, 95%CI [1.1-2.7] and OR=3.7, 95%CI [2.4-5.7], respectively, p ≤ 0.001). Lifetime MDE was also associated with MetS according to the IDF and NCEP/ATP III criteria. On the other hand, current GAD was not associated with MetS in multivariate regression models when adjusted for current MDE. Similar results were obtained when evaluating an association between depression/anxiety symptoms and MetS, since elevated depressive, but not anxiety, symptoms were independently associated with MetS. CONCLUSIONS Depressive, but not anxiety, disorders and symptoms are associated with greater prevalence rate of MetS. Assessment and management of MetS risk factors should be considered in depressed individuals.

Low triiodothyronine syndrome as a predictor of poor outcomes in patients undergoing brain tumor surgery: a pilot study: Clinical article

OBJECT A low triiodothyronine (T3) state is highly prevalent and is associated with a poor prognosis in critically ill patients. The authors investigated, in patients undergoing brain tumor surgery, the direct association of a perioperative low T3 syndrome with clinical outcomes and also with symptoms of depression and anxiety. METHODS Ninety consecutive patients (71% women, median age 55 years), on admission for brain tumor surgery, were evaluated for sociodemographic and clinical characteristics. Their thyroid function profile was assessed on the morning of brain tumor surgery and on the morning after brain tumor surgery. Patients with free T3 concentrations of 3.1 pmol/L or less were considered to have low T3 syndrome. The patients were evaluated for symptoms of depression and anxiety using the Hospital Anxiety and Depression Scale (HADS) before and after surgery and for clinical outcomes using the Glasgow Outcome Scale (GOS) at discharge. RESULTS After brain tumor surgery, free T3 concentrations decreased (p < 0.001) and the proportion of patients with low T3 levels increased from 38% to 54% (p = 0.02). Lower preoperative (rho = 0.30, p = 0.004) and postoperative (rho = 0.33, p = 0.002) free T3 concentrations correlated with low GOS scores at discharge. Preoperative low T3 syndrome (OR 5.49, 95% CI 1.27-23.69, p = 0.02) and postoperative low T3 syndrome (OR 8.73, 95% CI 1.49-51.21, p = 0.02) both increased risk for unfavorable clinical outcomes (GOS scores < 5) at discharge, after adjusting for age, sex, histological diagnosis of brain tumor, preoperative functional impairment, previous treatment for brain tumor, and depressive symptoms. Preoperative low T3 syndrome increased the risk for preoperative (HADS-depression subscale score ≥ 11; OR 4.12, 95% CI 1.16-14.58, p = 0.03) but not postoperative depressive symptoms independently from sociodemographic and clinical factors. CONCLUSIONS Low T3 syndrome is a strong independent predictor of unfavorable clinical outcomes and depressive symptoms, and its diagnosis and preoperative management should be considered in patients undergoing neurosurgery for the treatment of brain tumors.

Neuroprotective actions of thyroid hormones and low-T3 syndrome as a biomarker in acute cerebrovascular disorders.

Acute cerebrovascular disorders are common causes of death and disability worldwide. Prognostication of stroke victims rests mainly on admission clinical and radiological indexes of disease severity. Preclinical studies strongly suggest that thyroid hormones have a capacity to exert neuroprotective actions in the central nervous system under ischemic conditions via genomic and nongenomic actions. Low triiodothyronine (T3) syndrome affects 32–62% of patients following acute cerebrovascular events. Lower serum T3 concentrations are associated with greater stroke severity, more complicated clinical course, greater mortality rates and elevated risk for poor functional outcomes at discharge and long term. Further studies should address whether T3 can improve clinical stroke prognostication models. Studies investigating the neuroprotective role of thyroid hormone administration in acute cerebrovascular disease victims are encouraged.

Relationship of fatigue and exercise capacity with emotional and physical state in patients with coronary artery disease admitted for rehabilitation program

BACKGROUND The relationship between subjective fatigue, exercise capacity, and symptoms of depression and anxiety in patients with coronary artery disease (CAD) needs to be specified. METHODS In this cross-sectional study, a total of 1,470 (64% men; mean age 57 ± 11 years) consecutive CAD patients admitted for cardiac rehabilitation after treatment of acute cardiac events were evaluated for demographic characteristics, for past and current diagnosis and treatment, for New York Heart Association (NYHA) class, for symptoms of depression and for symptoms of anxiety using the Hospital Anxiety and Depression Scale, and for subjective fatigue using the Multidimensional Fatigue Inventory. On the next day, all patients underwent exercise capacity evaluation using a standard bicycle ergometer testing procedure. RESULTS In univariate regression analyses, there was the strongest positive association between scores on all Multidimensional Fatigue Inventory subscales and scores on the Hospital Anxiety and Depression Scale depression and anxiety subscales and between exercise capacity and NYHA class. Multivariate regression analyses revealed that symptoms of depression were the strongest positive determinants of all dimensions of subjective fatigue and, together with other significant variables, accounted for 17% to 29% of the variance. However, neither depressive nor anxious symptoms were significant determinants of exercise capacity. The association between subjective fatigue and exercise capacity and vice versa was minimal. CONCLUSION Subjective fatigue in CAD patients is strongly related to symptoms of depression and symptoms of anxiety. In contrast, exercise capacity in CAD patients is strongly related to NYHA functional class, with no relationship to symptoms of depression and anxiety.