A study of the diagnostic accuracy of the PHQ-9 in primary care elderly

<p>Abstract</p> <p>Background</p> <p>The diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) for assessment of depression in elderly persons in primary care settings in the United States has not been previously addressed. Thus, the purpose of this study was to evaluate the test performance of the PHQ-9 for detecting major and minor depression in elderly patients in primary care.</p> <p>Methods</p> <p>A prospective study of diagnostic accuracy was conducted in two primary care, university-based clinics in the Pacific Northwest of the United States. Seventy-one patients aged 65 years or older participated; all completed the PHQ-9 and the 15-item Geriatric Depression Scale (GDS) and underwent the Structured Clinical Interview for Depression (SCID). Sensitivity, specificity, area under the receiver operating characteristic (ROC) curve, and likelihood ratios (LRs) were calculated for the PHQ-9, the PHQ-2, and the 15-item GDS for major depression alone and the combination of major plus minor depression.</p> <p>Results</p> <p>Two thirds of participants were female, with a mean age of 78 and two chronic health conditions. Twelve percent met SCID criteria for major depression and 13% minor depression. The PHQ-9 had an area under the curve (AUC) of 0.87 (95% confidence interval [CI], 0.74-1.00) for major depression, while the PHQ-2 and the 15-item GDS each had an AUC of 0.81 (95% CI for PHQ-2, 0.64-0.98, and for 15-item GDS, 0.70-0.91; <it>P </it>= 0.551). For major and minor depression combined, the AUC for the PHQ-9 was 0.85 (95% CI, 0.73-0.96), for the PHQ-2, 0.80 (95% CI, 0.68-0.93), and for the 15-item GDS, 0.71 (95% CI, 0.55-0.87; <it>P </it>= 0.187).</p> <p>Conclusions</p> <p>Based on AUC values, the PHQ-9 performs comparably to the PHQ-2 and the 15-item GDS in identifying depression among primary care elderly.</p

Gender Differences in Attitudes towards Prevention and Intervention Messages for Digital Addiction

It has been suggested that excessive use of the internet and digital devices can lead to digital addiction (DA). In contrast to other industries such as the alcohol industry there appears to be very little expectation on the software industry to position itself as a primary actor in the development of DA; even though software providers have unique capabilities to engage with users in real time and in a personalised way through multi-modal interactive and intelligent prevention and intervention messages. One aspect of personalisation that has been demonstrated to be of importance in relation to DA and other compulsive behaviours is gender. This study consisted of a series of initial exploratory interviews followed by a survey of 150 respondents and several same-sex focus groups, the latter of which was recruited from a university student sample. Thematic and quantitative analyses were then conducted on the data gathered. Overall participants welcomed the idea of DA prevention and intervention messages, although they also demonstrated a clear preference for any DA prevention and intervention messages system to be adaptive and context aware. Some gender differences were evident, such as in terms for acceptance of messages generated by friends or the preference for graphical messages. The results of this study suggest that DA prevention and intervention messages may be useful to and welcomed by individuals who use digital technologies excessively. However, these users also appear to have expectations of what a successful DA prevention and intervention messages system should be able to achieve. Further research is needed on this emergent topic

Plasma biomarkers of depressive symptoms in older adults

The pathophysiology of negative affect states in older adults is complex, and a host of central nervous system and peripheral systemic mechanisms may play primary or contributing roles. We conducted an unbiased analysis of 146 plasma analytes in a multiplex biochemical biomarker study in relation to number of depressive symptoms endorsed by 566 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments. Analytes that were most highly associated with depressive symptoms included hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma protein-A and vascular endothelial growth factor. Separate regression models assessed contributions of past history of psychiatric illness, antidepressant or other psychotropic medicine, apolipoprotein E genotype, body mass index, serum glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of these values significantly attenuated the main effects of the candidate analyte levels for depressive symptoms score. Ensemble machine learning with Random Forests found good accuracy (∼80%) in classifying groups with and without depressive symptoms. These data begin to identify biochemical biomarkers of depressive symptoms in older adults that may be useful in investigations of pathophysiological mechanisms of depression in aging and neurodegenerative dementias and as targets of novel treatment approaches

Depression in the elderly: pathological study of raphe and locus ceruleus.

Depressive symptoms in the elderly are common and disabling and constitute a risk factor for the development of Alzheimer's disease (AD). One hypothesis worth exploring is that depression in the elderly is related to development of AD pathology at subcortical sites before such pathology develops in the hippocampus and neocortex. We describe here an autopsy study of the locus ceruleus (LC) and raphe nuclei (RN) in nine subjects with depression and 18 age and sex matched controls that were included in a community-based study of cognitive function and ageing (MRC-CFAS). We found no relationship between depression and (1) mean counts of serotonergic or total RN neuronal profiles (2) noradrenergic or total LC neuronal profiles (3) counts of neurofibrillary tangles in these nuclei, or (4) size of neurones in the RN. Nor were these parameters related to age or sex of the subjects. We conclude that depression in the elderly is unlikely to be related to RN or LC neurone counts or RN cell size or to AD-type pathology in these nuclei. However, because of the small numbers of cases studied and our inability to carry out a full stereological study because of tissue limitations the findings are preliminary