Few studies have examined the impact of late-life depression trajectories on specific domains of cognitive function. This study aims to delineate how different depressive symptom trajectories specifically affect cognitive function in older adults.

Prospective longitudinal cohort study

Australia and the United States of America

In total, 11,035 community-dwelling older adults with a mean age of 75 years

Depressive trajectories were modelled from depressive symptoms according to annual Centre for Epidemiological Studies Depression Scale 10 (CES-D-10) surveys. Four trajectories of depressive symptoms were identified: low (“nondepressed”), consistently mild (“subthreshold depression”), consistently moderate (“persistent depression”), and initially low but increasing (“emerging depression”). Global cognition (Modified Mini-Mental State Examination [3MS]), verbal fluency (Controlled Oral Word Association Test [COWAT]), processing speed (Symbol Digit Modalities Test [SDMT]), episodic memory (Hopkins Verbal Learning Test – Revised [HVLT-R]), and a composite z-score were assessed over a subsequent median 2 years.

Subthreshold depression predicted impaired performance on the SDMT (Cohen’s d −0.04) and composite score (−0.03); emerging depression predicted impaired performance on the SDMT (−0.13), HVLT-R (−0.09), 3 MS (−0.08) and composite score (−0.09); and persistent depression predicted impaired performance on the SDMT (−0.08), 3 MS (−0.11), and composite score (−0.09).

Depressive symptoms are associated with later impaired processing speed. These effects are small. Diverse depression trajectories have different impacts on cognitive function.

Transcranial magnetic stimulation (TMS) is an effective treatment for individuals with pharmacoresistant major depressive disorder (MDD), yet identifying which patients best respond remains an important area of inquiry. The Brief Symptom Inventory (BSI-18) serves as a screen for psychological distress, providing measures across three separate domains (e.g., somatization, depression, and anxiety) and one composite score (i.e., global severity index). The psychometric properties of the BSI-18 have been validated across multiple studies; however, it has sparsely been used to track changes in patient symptoms in response to intervention. Assessing patient symptom severity across these domains is imperative since these symptoms can negatively influence cognitive functioning. Accordingly, the current study utilized the BSI-18 to measure psychological distress across these different domains in patients receiving TMS treatment. We hypothesized that all domains of the BSI-18 would see a significant decrease after treatment, that elevated scores in specific domains would predict a less favorable response to treatment, and that measurement of depressive symptoms will be consistent across measures of similar scope.

Veterans (n=94) with MDD and met standard clinical TMS criteria were administered the BSI-18 before and after receiving an adequate dose of treatment (e.g., 30 sessions). Paired Samples T-test were used to compare the pre-treatment and post-treatment scores across domains.

The results of paired sample t-tests indicated a statistically significant reduction in measures of global psychological distress (t(93) = 7.99, p < .001, Cohen's d =.82), as well as depressive (t(93) = 8.34, p < .001, d = .86), anxious (t(93) = 7.64, p < .001, d = .79), and somatic symptoms (t(92) = 5.29, p < .001, d = .55) after receiving treatment. Individuals with elevated levels of anxiety (e.g., BSI-A>63) saw a significant reduction in depressive (t(62) = 8.15, p < .001, d = 1.03), anxious (t(62) = 8.34, p < .001, d = 1.05) and somatic (t(61) = 4.94, p < .001, d = .63) symptoms. Lastly, two measures of depressive symptoms, the BSI-D and PHQ-9, had a statistically significant strong, positive relationship before (r=.66) and after (r=.88) treatment (all n=65 and p<.001).

The BSI-18 can detect changes in different domains of psychological distress as a function of TMS treatment. Unexpectedly, TMS patients with elevated levels of anxiety responded well to treatment despite comorbid anxiety often being associated with less favorable outcomes in treatment trials. The positive relationship of the BSI-D and PHQ-9 before and after treatment suggests the use of the BSI as a valid, additional measure of depressive symptoms.

Telecommunication-assisted neuropsychological assessment (teleNP) has become more widespread, particularly in response to the COVID-19 pandemic. However, comparatively few studies have evaluated in-home teleNP testing and none, to our knowledge, have evaluated the National Alzheimer’s Coordinating Center’s (NACC) Uniform Data Set version 3 tele-adapted test battery (UDS v3.0 t-cog). The current study compares in-home teleNP administration of the UDS v3.0, acquired while in-person activities were suspended due to COVID-19, with a prior in-person UDS v3.0 evaluation.

210 participants from the Michigan Alzheimer’s Disease Research Center’s longitudinal study of memory and aging completed both an in-person UDS v3.0 and a subsequent teleNP UDS v3.0 evaluation. The teleNP UDS v3.0 was administered either via video conference (n = 131), telephone (n = 75), or hybrid format (n = 4) with approximately 16 months between evaluations (mean = 484.7 days; SD = 122.4 days; range = 320-986 days). The following clinical phenotypes were represented at the initial assessment period (i.e., the most recent in-person UDS v3.0 evaluation prior to the teleNP UDS v3.0): cognitively healthy (n = 138), mild cognitive impairment (MCI; n = 60), dementia (n = 11), and impaired not MCI (n = 1). Tests included both the in-person and teleNP UDS v3.0 measures, as well as the Hopkins Verbal Learning Test-Revised (HVLT-R) and Letter “C” Fluency.

We calculated intraclass correlation coefficients (ICC) with raw scores from each time point for the entire sample. Sub-analyses were conducted for each phenotype among participants with an unchanged consensus research diagnosis: cognitively healthy (n = 122), MCI (n = 47), or cognitively impaired (i.e., MCI, dementia, and impaired not MCI) (n = 66). Test-retest reliability across modalities and clinical phenotypes was, in general, moderate. The poorest agreement was associated with the Trail Making Test (TMT) - A (ICC = 0.00; r = 0.027), TMT - B (ICC = 0.26; r = 0.44), and Number Span Backward (ICC = 0.49). The HVLT-R demonstrated moderate reliability overall (ICC = 0.51-0.68) but had notably weak reliability for cognitively healthy participants (ICC = 0.12-0.36). The most favorable reliability was observed in Craft Story 21 Recall - Delayed (ICC = 0.77), Letter Fluency (C, F, and L) (ICC = 0.74), Multilingual Naming Test (MINT) (ICC = 0.75), and Benson Complex Figure – Delayed (ICC = 0.79).

Even after accounting for the inherent limitations of this study (e.g., significant lapse of time between testing intervals), our findings suggest that the UDS v3.0 teleNP battery shows only modest relationships with its in-person counterpart. Particular caution should be used when interpreting measures showing questionable reliability, though we encourage further investigation of remote vs. in-person testing under more controlled conditions.

There is evidence that anxiety and depressive symptoms may lead individuals to under-estimate their own sleep quality, particularly among younger subjects (aged <45 yrs).

The aim of this study was to investigate the discrepancy between objective and subjective measurements of sleep quality in a sample of healthy control subjects (HCs) with no Axis I mental disorders, and the possible impact of panic-agoraphobic spectrum symptoms.

A total of 117 HCs (65 males and 97 females; Age: 35.3±14yrs) were evaluated by the: Panic Agoraphobic Spectrum-Self Report (PAS-SR), to investigate panic spectrum; the Pittsburgh Sleep Quality Index (PSQI) and actigraphy, respectively for the subjective and the objective sleep efficiency (SE) measures. Groups were divided according to the congruence between SE-actigraphic vs SE-PSQI (“Accurate”, “Underestimate”, “Overestimate”), establishing as a threshold an SE>85% as a measure of good SE. Regression analyses were conducted to assess the association between PAS-SR domains and the discrepancy between objective and subjective measurements, controlling confounding factors such as age, gender and BMI

Since our data showed that a low sleep quality was associated with a greater age and that higher PAS-SR scores were associated with younger age, we used a sub-sample of 117 participants with age <45 years and comparing the 3 groups of subjects created on the basis of the discrepancy: Accurate, N = 74 (63.2 %), “Overestimate group”, N= 23 (19.7 %), “Underestimate group”: N=20 (17.1 %), we found a statistically significant difference among groups in the PAS.SR separation anxiety domain (p value=0.032), with a multinomial regression model confirming this domain contributed significantly to the differentiation between the three groups with higher symptoms being associated with a higher probability of belonging to the “underestimate” group.

Our results suggest that the discrepancy between objective and subjective sleep efficiency measurements in HCs could be affected by panic spectrum symptoms, particularly separation anxiety.

None Declared

Sleep disturbances are frequently reported in patients with Bipolar Disorder (BD), parallel, patients with BD report significantly higher rates of exposure to major lifetime traumatic events than the general population with a high risk of developing PTSD.

The aim of this study was to compare sleep parameters subjectively and objectively measured, in patients with BD with or without PTSD with respect to healthy control subjects.

73 patients with BD (26 BD+ PTSD and 46 BDw/oPTSD) and 88 HC were evaluated through actigraphic monitoring to explore sleep and circadian parameters, scales exploring sleep quality (Pittsburgh Sleep Quality Index -PSQI-) and chronotype (reduced Morningness-Eveningness Questionnaire –rMEQ-) and the Trauma and Loss Spectrum Self Report (TALS-SR), for lifetime trauma and loss spectrum symptoms.

Compared to age-matched HC, patients with BD reported lower sleep quality, lower rMEQ scores suggestive of delayed chronotype, longer total sleep time, higher waking after sleep onset, lower interdaily stability and lower sleep health. Patients with BD+PTSD reported significantly higher PSQI scores than BDw/oPTSD; significant correlations between the PSQI total scores and TALS-SR symptomatic domains emerged in the BD+PTSD group only.

Our results suggest a strong correlation between sleep disturbances, particularly evaluated by subjective measures, and PTSD symptoms in patients with BD.

None Declared

Few studies have evaluated in-home teleneuropsychological (teleNP) assessment and none, to our knowledge, has evaluated the National Alzheimer’s Coordinating Center’s (NACC) Uniform Data Set version 3 tele-adapted test battery (UDS v3.0 t-cog). The current study evaluates the reliability of the in-home UDS v3.0 t-cog with a prior in-person UDS v3.0 evaluation.

One hundred and eighty-one cognitively unimpaired or cognitively impaired participants from a longitudinal study of memory and aging completed an in-person UDS v3.0 and a subsequent UDS v3.0 t-cog evaluation (∼16 months apart) administered either via video conference (n = 122) or telephone (n = 59).

We calculated intraclass correlation coefficients (ICCs) between each time point for the entire sample. ICCs ranged widely (0.01–0.79) but were generally indicative of “moderate” (i.e., ICCs ranging from 0.5–0.75) to “good” (i.e., ICCs ranging from 0.75–0.90) agreement. Comparable ICCs were evident when looking only at those with stable diagnoses. However, relatively stronger ICCs (Range: 0.35–0.87) were found between similarly timed in-person UDS v3.0 evaluations.

Our findings suggest that most tests on the UDS v3.0 t-cog battery may serve as a viable alternative to its in-person counterpart, though reliability may be attenuated relative to the traditional in-person format. More tightly controlled studies are needed to better establish the reliability of these measures.

Despite the multitude of clinical manifestations of post-acute sequelae of SARS-CoV-2 infection (PASC), studies applying statistical methods to directly investigate patterns of symptom co-occurrence and their biological correlates are scarce.

We assessed 30 symptoms pertaining to different organ systems in 749 adults (age = 55 ± 14 years; 47% female) during in-person visits conducted at 6–11 months after hospitalization due to coronavirus disease 2019 (COVID-19), including six psychiatric and cognitive manifestations. Symptom co-occurrence was initially investigated using exploratory factor analysis (EFA), and latent variable modeling was then conducted using Item Response Theory (IRT). We investigated associations of latent variable severity with objective indices of persistent physical disability, pulmonary and kidney dysfunction, and C-reactive protein and D-dimer blood levels, measured at the same follow-up assessment.

The EFA extracted one factor, explaining 64.8% of variance; loadings were positive for all symptoms, and above 0.35 for 16 of them. The latent trait generated using IRT placed fatigue, psychiatric, and cognitive manifestations as the most discriminative symptoms (coefficients > 1.5, p < 0.001). Latent trait severity was associated with decreased body weight and poorer physical performance (coefficients > 0.240; p ⩽ 0.003), and elevated blood levels of C-reactive protein (coefficient = 0.378; 95% CI 0.215–0.541; p < 0.001) and D-dimer (coefficient = 0.412; 95% CI 0.123–0.702; p = 0.005). Results were similar after excluding subjects with pro-inflammatory comorbidities.

Different symptoms that persist for several months after moderate or severe COVID-19 may unite within one latent trait of PASC. This trait is dominated by fatigue and psychiatric symptoms, and is associated with objective signs of physical disability and persistent systemic inflammation.