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Background: The 3 core domains of delirium (cognitive, higher level thinking, circadian) do not include the less common noncore psychotic symptoms. However, psychosis might inform about perturbations of neural circuitry, outcomes, or suggest tailored clinical management., Objective: We assessed relationships between psychosis and other characteristics of delirium in patients without dementia or antipsychotics treatment., Methods: Cross-sectional analysis of 366 adults with delirium per the Delirium Rating Scale Revised-98, whose items distinguish hallucinations and delusions from other types of misperceptions and abnormal thought content, assessed during the preceding 24 hours to capture symptom severity fluctuation. The relationship of psychosis with other delirium characteristics was assessed using bivariate comparisons and analysis of variance as appropriate for groups with no psychosis and any psychosis (hallucinations and/or delusions), and subgroups with only hallucinations, only delusions, or both. A discriminant logistic model assessed variables associated with presence of any psychotic features versus none., Results: Delirium with any psychotic features occurred in 44.5% (163 of 366). Of the 366, 119 (32.5%) had only hallucinations (Hall), 14 (3.8%) had only delusions (Del), and 30 (8.2%) had both (Both). In the psychotic group (n = 163), 73.0% were Hall, 8.6% Del, and 18.4% Both. All psychotic patient groupings had significantly greater delirium severity on the Delirium Rating Scale Revised-98. Delusions and hallucinations were discordant for occurring together. The discriminant model found increased odds of having psychosis as 3 symptom severities increased (visuospatial ability, thought process, and sleep-wake cycle) where these each represented a delirium core domain. The noncore symptom of lability of affect had high odds ratio for psychosis, while motor retardation reduced odds of psychosis in this model., Conclusions: Consistent with prior reports, psychosis occurred in less than half of delirious patients with delusions being infrequent, and an association with affective lability was found. Given that previous functional magnetic resonance imaging research found a correlation between neural network dysconnectivity with greater severity of delirium, psychotic symptoms might be a clinical marker for greater underlying cerebral cortical neural circuitry dysfunction., (Copyright © 2022 Academy of Consultation-Liaison Psychiatry. Published by Elsevier Inc. All rights reserved.)

The authors aimed to evaluate whether the clinical phenotype of delirium differs if dichotomized either by sex or age (cutoff age, 65 years old) in a pooled sample of 406 nondemented adult patients with delirium as defined by DSM-IV criteria. Delirium characteristics were measured with the Delirium Rating Scale-Revised-98 (DRS-R-98). DRS-R-98 items were subgrouped to represent subscores representing the three core domains of delirium (cognitive, higher-order thinking, and circadian), noncore accessory symptoms (psychotic and affective), and diagnostic characteristics (temporal onset, fluctuation, and physical disorder). The authors compared means of the DRS-R-98 subscores and medians of individual items. Exploratory factor analyses evaluated delirium characteristics for each subgroup for each of the four groups-male, female, nongeriatric, and geriatric-while taking into account active medical diagnoses. Males had higher scores on motor agitation and affective lability (behavioral), whereas females had a higher frequency of hypoactive delirium. Delirium had a two-factor structure that emerged in all four study groups, and all its core domains loaded (i.e., correlated together) onto some of these two factors and with circadian domain correlating with accessory symptoms. Although the influence of a variety of active diagnoses on delirium was small and complex, traumatic brain injury had a clear influence on cognitive domain and abrupt onset. Age had a mild influence over delirium characteristics for both males and females. In conclusion, the authors confirmed a two-factor structure for delirium phenomenology, regardless of age and sex, with few significant differences between etiological groups.

Principal components analysis applied to the Delirium Rating Scale-Revised-98 contributes to understanding the delirium construct. Using a multisite pooled international delirium database, the authors applied confirmatory factor analysis to Delirium Rating Scale-Revised-98 scores from 859 adult patients evaluated by delirium experts (delirium, N=516; nondelirium, N=343). Confirmatory factor analysis found all diagnostic features and core symptoms (cognitive, language, thought process, sleep-wake cycle, motor retardation), except motor agitation, loaded onto factor 1. Motor agitation loaded onto factor 2 with noncore symptoms (delusions, affective lability, and perceptual disturbances). Factor 1 loading supports delirium as a single construct, but when accompanied by psychosis, motor agitation's role may not be solely as a circadian activity indicator.

Objective: To confirm the existence of the proposed three-core symptom domains in delirium by analyzing a dataset of nondemented adults using selected core symptoms as measured by the Delirium Rating Scale-Revised-98 (DRS-R98) scale., Methods: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) of proposed delirium core symptoms were conducted in a pooled international dataset of 592 delirious and nondelirious patients using DSM-IV criteria from 14 studies with comparable methodologies. Using DRS-R98 categorization, 445 had either subsyndromal or full delirium and comprised the delirium group. The dataset was divided into three independent random subsamples to perform a stepwise analysis. First we performed EFA in 100 cases to delineate latent factor loadings of DRS-R98 items selected to represent the three-core domains (circadian, higher level thinking, and cognitive). These items were then assessed using CFA-modeling (n = 246) followed by a CFA-validation (n = 246). Reliability and goodness of fit of these two CFA were assessed statistically., Results: DRS-R98 items representing the proposed delirium core symptoms loaded onto one factor in the EFA, supporting their core nature. The two CFA confirmed the nature of this core factor as comprising three core domains where DRS-R98 items each loaded with high values (>0.7) onto their corresponding core domain (circadian, higher level thinking, and cognitive) with good fit and reliability. Attention was DRS-R98 item with the highest loading in CFA, followed by thought process, and then by sleep-wake cycle and motor behavior., Conclusions: Our EFA and CFA confirm and validate the proposed three-core domains of delirium, where symptoms were highly related to the domain that they were hypothesized to represent. These domains are consistent with delirium being a state of impaired consciousness, and should be considered necessary to assess whether in clinical or research settings., (Copyright © 2013 The Academy of Psychosomatic Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To identify psychosocial and clinical correlates of suicidal ideation in medical inpatients., Method: In a cross-sectional study, all adults consecutively admitted to the medical wards of a University Hospital had their names recorded and were randomized and evaluated during the first week of admission. Suicidal ideation was assessed using Item 9 of Patient Health Questionnaire-9. The Beck Depression Inventory, the Beck Anxiety Inventory, the WHO Subjective well-being scale, the Charlson Comorbidity Index and other numerical rating scales (pain and self-reported physical illness severity) were used. Patients with less than four confidants were considered with poor social support. The Student's t test, Mann-Whitney U test, chi-square test and stepwise logistic regression analysis were used., Results: Of the 1092 patients who composed the sample, 7.2% reported having suicidal ideation. After adjusting for psychosocial and clinical confounders, prior suicide attempts (OR: 4.41; 95% CI: 2.12-9.15; P<.001), depressive symptoms (OR: 1.11; 95% CI: 1.06-1.17; P<.001), severe anxiety symptoms (OR: 3.04; 95% CI: 1.47-6.26; P=.003) and poor social support (OR: 2.02; 95% CI:1.03-3.96; P=.04) were independently associated with suicidal ideation., Conclusions: Three out of the four correlates of suicidal ideation in medical inpatients are potentially modifiable factors: severe anxiety, depressive symptoms and poor social support. The fourth variable, prior suicide attempts, is not modifiable but should serve as a red flag to suspect and investigate current suicide risk. These findings highlight the importance of suicidal ideation as a proxy for the distress that is incumbent upon physicians to manage if they wish to provide excellent and comprehensive inpatient care., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Objectives: To translate into Portuguese, perform cross-cultural adaptation and to evaluate the psychometric properties of the Summary of Diabetes Self-Care Activities Questionnaire - SDSCA., Materials and Methods: The process followed the international guidelines for the adaptation and evaluation of psychometric properties. The Cronbach's alpha (α) was determined to evaluate the internal consistency (inter-itens correlation) and the reliability (test-retest and inter-evaluator correlation)., Results: The inter-itens correlation showed values of α = 0.09 to α = 0.86. In the test-retest evaluation, the lowest correlation was obtained for the item "eat sweets" (α = 0.15) and the highest correlation was obtained for the items concerning smoking (α = 1.00). The inter-evaluator correlations varied from α = 0.29 to α = 1.00., Conclusions: The adapted questionnaire showed psychometric properties similar to those of the SDSCA. Its Brazilian version provides a reliable and valid questionnaire to evaluate diabetic patient adherence to self-care in our community.

Objective: To assess the validity and the reliability of the Portuguese version of the Delirium Rating Scale-Revised-98 (DRS-R-98)., Methods: The scale was translated into Portuguese and back-translated into English. After assessing its face validity, five diagnostic groups (n=64; delirium, depression, dementia, schizophrenia and others) were evaluated by two independent researchers blinded to the diagnosis. Diagnosis and severity of delirium as measured by the DRS-R-98 were compared to clinical diagnosis, Mini-Mental State Exam, Confusion Assessment Method, and Clinical Global Impressions scale (CGI)., Results: Mean and median DRS-R-98 total scores significantly distinguished delirium from the other groups (p<0.001). Inter-rater reliability (ICC between 0.9 and 1) and internal consistency (alpha=0.91) were very high. DRS-R-98 severity scores correlated highly with the CGI. Mean DRS-R-98 severity scores during delirium differed significantly (p<0.01) from the post-treatment values. The area under the curve established by ROC analysis was 0.99 and using the cut-off value of 20 the scale showed sensitivity and specificity of 92.6% and 94.6%, respectively., Conclusion: The Portuguese version of the DRS-R-98 is a valid and reliable measure of delirium that distinguishes delirium from other disorders and is sensitive to change in delirium severity, which may be of great value for longitudinal studies.

Objective: To determine the point prevalence of depressive disorders in medical inpatients, to identify related sociodemographic and medical factors and to evaluate the psychotropic treatment given., Method: A cross-sectional study identifying the prevalence of depressive disorders and related factors combined with a prospective longitudinal study evaluating the psychopharmacological treatment were conducted. Medical inpatients, aged 18 years or older, presenting suitability to be interviewed and giving written informed consent were selected. The sample was composed of 125 subjects. The following instruments were used: a sociodemographic questionnaire; the Mini International Neuropsychiatric Interview; and the Beck Depression Inventory. Data related to medical, personal and family histories of psychiatric disorders and psychotropic use were collected by interview and from patient charts. The study took place at the Hospital Santa Isabel, in Blumenau, located in the state of Santa Catarina, Brazil, from January to July of 2002., Results: The prevalence of depressive disorders was 26%. The factors that correlated with depressive disorders were being female, having an income lower than 3 times the minimum wage, having a personal history of depressive disorders, using psychotropic drugs, scoring higher than 13 on the Beck Depression Inventory and having been referred for a psychiatric consultation (p < 0.05). Only 43.8% of the individuals with depressive disorders received antidepressants. Most of the depressed patients were being treated with benzodiazepines (62.5%). The most frequently prescribed drugs were diazepam and fluoxetine., Conclusions: Approximately one-quarter of the medical inpatients had depressive disorders. However, antidepressants were prescribed for less than half of them. Women with a history of depression, using benzodiazepines and having a low income presented significantly higher rates of depressive disorders. Physicians should suspect depression in patients presenting such characteristics.

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.

Objective: To verify the validity of the CAGE questionnaire in screening inpatients with alcohol dependence., Methods: In a transversal study, 747 medical inpatients hospitalized on general medical wards in the Federal University of Santa Catarina University Hospital were evaluated. Sociodemographic and clinical data were collected and the following instruments were used: the CAGE questionnaire and the Mini International Neuropsychiatry Interview (MINI), the latter being a semi-structured interview used as the gold standard for diagnosing alcohol dependence (according to DSM-IV criteria). Validity indices (sensitivity and specificity) were assessed for the different possible CAGE cut-off points. The ROC curve was used to determine the best cut-off point., Results: The sample was composed of 747 patients. Most were men (66%), white (85%) and married (61%). Mean age was 50 +/- 17 years, and mean level of education was 6 +/- 4 years. According to the MINI, 48 patients (6.6%) were diagnosed as having alcohol dependence. The CAGE questionnaire presented its highest sensitivity (93.8%) when the cut-off point of 0/1 (one or more "positive" responses indicating a positive test) was used. The specificity for this cut-off point was 85.5%., Conclusion: Using the 0/1 cut-off point, the CAGE questionnaire presented good sensitivity (93.8%) and specificity (85.5%) for use in general hospital ward patients. Since it is an easily applied, rapidly executed and inexpensive instrument, it could be useful in screening such patients for alcohol dependence.

Objective: The authors' objectives were to determine 1) whether major depressive disorder diagnosed according to DSM-IV criteria modified for the medically ill predicted in-hospital mortality better than major depressive disorder diagnosed according to inclusive DSM-IV criteria and 2) whether a history of depression and current depression predicted mortality independent of severity of physical illness., Method: Of 392 consecutive medical inpatients, 241 were interviewed within the first 3 days of admission and 151 were excluded from the study. Chart review and a clinical interview that included the Schedule for Affective Disorders and Schizophrenia were used to determine demographic variables, past psychiatric history, psychiatric diagnoses, and illness measures. Diagnoses included major depressive disorder and minor depression diagnosed according to DSM-IV criteria that included all symptoms regardless of etiology and according to criteria modified for the medically ill (hopelessness, depression, or anhedonia were used as the qualifying affective symptoms; depressive symptoms were eliminated if easily explained by medical illness, treatments, or hospitalization). The Charlson combined age-comorbidity index was used to measure severity of illness., Results: A diagnosis of major depressive disorder based on criteria modified for patients with medical illness better predicted mortality than a diagnosis based on inclusive criteria. A past history of depression and the Charlson combined age-comorbidity index predicted in-hospital mortality, but demographic variables, pain, discomfort, length of stay, medical diagnoses, and minor depression did not. In the final multivariate logistic regression model, the Charlson combined age-comorbidity index, a modified diagnosis of major depressive disorder, and a history of depression were independent predictors of in-hospital death., Conclusions: Severity of medical illness, a diagnosis of major depressive disorder based on modified criteria, and a past history of depression independently predicted in-hospital mortality in medical inpatients.

The authors interviewed a consecutive series of medical inpatients (N = 241) using the Schedule for Affective Disorders and Schizophrenia to determine which depressive symptoms are associated with in-hospital mortality. Fifteen depressive symptoms, pain, and physical discomfort were assessed along with medical comorbidity. Twenty patients died in-hospital (8.3%). Logistic regression showed that anhedonia, hopelessness, worthlessness, indecisiveness, and insomnia predicted in-hospital death after adjusting for physical comorbidity and age. Clinicians should be aware that these depressive symptoms may predict mortality in medical inpatients. Future studies should address which treatment modalities lead to better outcomes.

The Unified Biosocial Theory of Personality postulates that human personality is organized around four temperaments - Novelty Seeking, Harm Avoidance, Reward Dependence, and Persistence - and three characters - Self-Directedness, Cooperativeness, and Self-Transcendence. The objective of the present study was to investigate the influence of sociodemographic factors on temperament and character without the confounding influence of mental disorders. Volunteers (n=94) did not meet criteria for any Axis I and Axis II diagnosis, had no first-degree relatives with mental disorders, and were medically healthy. After giving written informed consent, volunteers completed the Temperament and Character Inventory. Analyses were conducted to determine the degree of association of each sociodemographic factor (i.e., age, gender, ethnicity, marital status, educational attainment, and occupational status) to personality dimension, while controlling for possible interactions with other sociodemographic factors. Partial correlation analysis showed a significant association between gender and Reward Dependence, and occupational status was significantly related to Reward Dependence, Cooperativeness, and Self-Transcendence. Stepwise regression analysis indicated that gender and occupational status were significant predictors of Reward Dependence. Occupational status was the only predictor of Cooperativeness and Self-Transcendence. These data suggest that sociodemographic factors should be considered in studies investigating temperaments and characters as defined by the Unified Biosocial Theory of Personality.