Background Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers. Methods We analyzed data of 205 cognitively normal participants of the DELCODE study (mean age = 68.9 years; 52% female) with available CSF AD biomarkers (Aß-42, p-Tau181, Aß-42/Tau ratio, total Tau). For each of five cognitive domains (including memory, language, attention, planning, others), a study physician asked participants about the following SCD-plus features: the presence of subjective decline, associated worries, onset of SCD, feeling of worse performance than others of the same age group, and informant confirmation. We compared AD biomarkers of subjects endorsing each of these questions with those who did not, controlling for age. SCD was also quantified by two summary scores: the number of fulfilled SCD-plus features, and the number of domains with experienced decline. Covariate-adjusted linear regression analyses were used to test whether these SCD scores predicted abnormality in AD biomarkers. Results Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years , confirmation of cognitive decline by an informant , and decline-related worries . Furthermore, both quantitative SCD scores were associated with lower Aß42 and lower Aß42/Tau ratio, but not with total Tau or p-Tau181. Conclusions Findings support the usefulness of a criterion-based interview approach to assess and quantify SCD in the context of AD and validate the current SCD-plus features as predictors of AD pathology. While some features seem to be more closely associated with AD biomarkers than others, aggregated scores over several SCD-plus features or SCD domains may be the best predictors of AD pathology. Electronic supplementary material The online version of this article (10.1186/s13195-019-0515-y) contains supplementary material, which is available to authorized users.

No abstract

No abstract

Systematic needs assessment, especially psychological needs, may play a crucial role in the course of prevention and effective treatment of late-life depression in the primary care context.

No abstract

Previously established themes were found to be feasible for conversion into a semistructured interview. Several complaint phenotypes were confirmed and previous themes significantly expanded by providing first evidence for a qualitatively different complaint profile in MDD compared with CC. Future investigations may benefit from better characterizing the phenomenologic and qualitative characteristics of AD-related complaints.

We report a comprehensive qualitative description of cognitive complaints in old age which could help to develop questionnaires or structured interviews to better assess AD-related subjective cognitive decline. This may help to increase specificity in selecting high-risk subjects in research settings and improve clinical judgment of diverse cognitive complaints types mentioned by their patients.

An accurate diagnosis is essential for the management of late-life depression in primary care. This study aims to (1) provide information on the agreement on depression diagnoses between general practitioners (GPs), dimensional tools (Geriatric Depression Scale [GDS], Hospital Anxiety and Depression Scale [HADS]) and a categorical tool (Structured Clinical Interview for DSM-IV criteria [SCID]) and (2) identify factors associated with different diagnoses. As part of the multicenter study "Late-life depression in primary care: needs, health care utilization and costs (AgeMooDe)" a sample of 1113 primary care patients aged 75 years and older was assessed. The proportion of depression was 24.3% according to GPs, 21.8% for the GDS, 18.9% for the HADS and 8.2% for the SCID. Taking GDS, HADS and SCID as reference standards, recognition of GPs was 47%, 48% and 63%. Cohen's Kappa values indicate slight to moderate agreement between diagnoses. Multinomial logistic regression models showed that patient related factors of depression were anxiety, intake of antidepressants, female gender, a low state of health, intake of medication for chronic diseases and functional impairment. GPs performed better at ruling out depression than ruling in depression. High levels of disagreement between different perspectives on depression indicate that they may be sensitive to different aspects of depression.