Cornell Scale For Depression In Dementia Research Articles

Depression detection in dementia: A diagnostic accuracy systematic review and meta analysis update.

Depression is common in persons with dementia and is often under-detected and under-treated. It is critical to understand which available tools accurately detect depression in the context of dementia. We updated our systematic review completed in 2015. The search strategy of our original review was replicated in Medline, Embase, and PsycINFO. Studies describing the use of a tool to identify depression in persons with dementia, compared to a criterion standard, and reporting diagnostic accuracy outcomes were included in the review update. Pooled prevalence estimates of major depression and pooled estimates of diagnostic accuracy outcomes (i.e., sensitivity [SN], specificity [SP]) for tools were calculated. Three studies were included of the 8980 returned from the database search and were added to the prior 20 articles from the 2015 review. The Cornell Scale for Depression in Dementia (CSDD), Geriatric Depression Scale (GDS)-15 item, Neuropsychiatric Inventory-Depressionitems (NPI-D), and Depression in Old Age Scale (DIA-S) were evaluated in the three studies. Two new studies were added to the existing pooled prevalence estimate of major depression (29%, 95% confidence interval [CI] = 21.6%-36.5%, n = 17) and pooled diagnostic accuracy estimate for the CSDD at the best cut-off (SN = 0.83, 95% CI = 0.74-0.90; SP = 0.81, 95% CI = 0.69-0.89). New pooled diagnostic accuracy estimates were completed for the CSDD (cut-off ≥12) (SN = 0.61, 95% CI = 0.42-0.77; SP = 0.83, 95% CI = 0.76-0.88), GDS-15 (best cut-off) (SN = 0.65, 95% CI = 0.40-0.83; SP = 0.72, 95% CI = 0.55-0.85), and Montgomery Asberg Depression Rating Scale (MADRS)(best cut-off) (SN = 0.77, 95% CI = 0.67-0.85; SP = 0.68, 95% CI = 0.60-0.75). The CSDD continues to have the most evidence for depression case finding in persons living with dementia. The CSDD and Hamilton Depression Rating Scale have the highest sensitivities and may be recommended for use over other common tools like the GDS-15 and MADRS. Newly identified tools like the NPI-D and DIA-S require further study before they can be recommended for use in practice.

Effectiveness of Vortioxetine Treatment on Depression and Cognitive Functions in Patients with Alzheimer's Disease: A 12-Month, Retrospective, Observational Study.

This study aimed to assess the effectiveness of vortioxetine for improving depressive symptoms, cognitive performance, daily and global functioning in patients with Alzheimer's disease (AD) and major depressive disorder (MDD) in real-world clinical practice. We retrospectively identified 46 AD patients who had received treatment for 12 months with vortioxetine. Drug effects were evaluated at baseline, 4, 8, and 12 months. The primary endpoint was change from baseline in the Hamilton Depression Rating Scale (HDRS) and in the Cornell Scale for Depression in Dementia (CSDD) to month 12. Cognitive and daily and global functioning changes were also evaluated. Significant baseline-to-endpoint improvement in depressive symptom severity was observed (p < 0.0001). At month 12, the least-square mean (standard error) change score from baseline was -10.48 (±0.42) on the HDRS and -9.04 (±0.62) on the CSDD. Significant improvements in cognitive performance were observed for the Rey Auditory Verbal Learning Test, the Symbol Digit Modalities Test, the Letter Fluency Test, the Category Fluency Test, and the Trail Making Test-A. Patients also experienced significant improvements in daily and global functioning. Vortioxetine was safe and well tolerated. Patients with AD and MDD receiving vortioxetine showed meaningful improvements in depressive symptoms, cognitive performance, and daily and global functioning over the 12-month treatment period.

Efficacy of selective serotonin reuptake inhibitors-related antidepressants in Alzheimer’s disease: a meta-analysis

ObjectiveTo study the effects of selective serotonin reuptake inhibitors (SSRIs) on cognitive functions, mental improvements, and adverse effects in patients with Alzheimer’s disease (AD).MethodsRegistered in INPLASY (INPLASY202450004), five drugs (citalopram, s-citalopram, quetiapine, olanzapine, and sertraline) were selected as representatives. A comprehensive search was conducted in PubMed, EMBASE, Web of Science, and the Cochrane Library up to May 15, 2024. Search terms were combined using Boolean operators, specifically ‘AND’ between different categories (e.g., ‘Alzheimer’s Disease’ AND ‘SSRIs’) and ‘OR’ within the same category (e.g., ‘citalopram OR s-citalopram OR quetiapine OR olanzapine OR sertraline’), to ensure a thorough retrieval of relevant studies. The selection followed rigorous inclusion and exclusion criteria for meta-analysis.ResultsFourteen articles from 1118 were selected for meta-analysis. The indicators, including Neuropsychiatric Inventory (NPI), Mini-Mental State Examination (MMSE), Brief Psychiatric Rating Scale (BPRS), and Cornell Scale for Depression in Dementia (CSDD), were used to assess the effects of the drugs on AD treatment. According to the results of NPI, CSDD, BPRS, MMSE, and security assessments, the five antidepressants have significant advantages in AD treatment compared with placebo, while the MMSE of the patient treated with the antidepressants did not show notable changes compared with patients treated only with placebo. Statistical analyses were conducted using Review Manager 5.3, employing random-effects models to account for study heterogeneity and sensitivity analyses to test the robustness of our findings.ConclusionThis study suggests that SSRI-related antidepressants have great potential values in AD treatment, and further research on the application of SSRI-related antidepressants in AD treatment is necessary.

Health promotion in early-stage dementia: Exploring associations between sociodemographic characteristics and outcomes of a 12-week group-based educational intervention

ABSTRACT Group-based educational interventions on health promotion for people with early-stage dementia have shown promising results. The aim of this study was to explore the associations between sociodemographic characteristics (e.g. sex, education, marital status) and outcomes of a 12-week group-based educational intervention on health promotion for people with early-stage dementia. Secondary analysis of data from the project ‘Health promotion for persons with dementia: Prevention of hospitalisation and nursing home replacement for persons with dementia,’ a single group, pre-test/post-test intervention study was conducted. Linear regression analyses were used to assess the associations between changes in the primary outcome of the intervention from baseline to post-intervention assessment and the participants’ sociodemographic characteristics. Multiple linear regression analyses showed a statistically significant association between improvement in scores on the Cornell Scale for Depression in Dementia (CSDD) post-intervention and level of education (β = -0.209, SE = 0.08, p = .013). More specifically, the results show that the scores on the CSDD from baseline to post-intervention improved more in participants with primary and secondary education than in those with tertiary education. The study attracted a high proportion (49%) of individuals with a higher level of education. The findings highlight the need for more knowledge on how to reach people with dementia with all levels of education and the need to consider the knowledge and support needs of various subgroups of people with early-stage dementia when developing and delivering this type of intervention.

PROTOCOLS FOR COLLECTING CONVERSATIONAL LANGUAGE IN PERSONS WITH DEMENTIA

Abstract We describe first-of-its-kind protocols for collecting spontaneous conversations in persons with dementia living in a community through conversation elicitation tools twice a month over six months. We also describe the preliminary feasibility of the protocol deployment in the first enrolled participants over the first month of data collection. Participants were recruited from the University of Washington ADRC registry. The audio was captured using RODE wireless microphone system. Four conversational elicitation techniques were used: 1) reminiscence using personal photographs; 2) reminiscence using generic historical images; 3) picture description test from neurocognitive batteries; 4) open-ended questions about daily activities. Health measures included Cornell Scale for Depression in Dementia (CSDD), Clinical Dementia Rating (CDR), and Clinical Frailty Scale (CFS). Four male and two female participants (average age 75) were recruited. Average health measures at baseline were CDR = 2, suggesting moderate dementia; CSDD=7, suggesting depressive symptoms, CFS=5, suggesting mild frailty. At baseline, the tasks’ average conversation time in seconds was as follows: daily activities =528; personal reminiscence=443; historical reminiscence =227; picture description =192. The corresponding average times for the subsequent home visits were 917; 518; 474, and 280 at visit 1 and 525; 767; 629, and 311 at visit 2. We established the feasibility of collecting conversational speech in this population. Participants seemed more interested in conversations focused on daily activities and personal pictures than general topics. There was an increase in the duration of conversations over time, which might be related to participants’ greater familiarity with the study protocol and data collectors.

Tailored lighting intervention (TLI) for improving sleep-wake cycles in older adults living with dementia.

Introduction: Sleep disturbance is a hallmark of Alzheimer's disease and related dementias, and caregiver stress caused by patients' nighttime wandering, injuries, and agitation are frequently at the root of decisions to move them to assisted living facilities, where typically dim institutional lighting can further exacerbate their sleep problems. This study explored the effects of a circadian-effective lighting intervention on actigraphic sleep measures and subjective assessments of sleep disturbance, depression, and sleep-disturbed behaviors. Methods: Fourteen older adult (≥60years) participants (11 females, mean age = 84.1 [SD 8.9]), all diagnosed with moderate to severe dementia and sleep disturbance, were recruited from 3 assisted living and memory care facilities. Following a crossover, placebo-controlled design, 3 different lighting modes were used to deliver high levels of circadian stimulus to the participants' eyes for two 8-week intervention periods in a counter balanced order with a 4-week washout between the study's 2 conditions (dim light control vs. active intervention). Actigraphy and questionnaire data were collected over 7-day assessment periods that preceded (baseline weeks 1 and 9) and concluded (post-intervention week 9 and 22) the intervention periods. Actigraphic outcomes included sleep duration, sleep time, sleep efficiency, sleep start time, and sleep end time. Subjective assessments included the Cornell Scale for Depression in Dementia (CSDD), Pittsburgh Sleep Quality Index (PSQI), and Sleep Disorders Inventory (SDI) instruments. Results: Under the active condition, sleep duration significantly (p = 0.018) increased and sleep start time significantly (p = 0.012) advanced after the intervention compared to baseline. Also under the active condition, PSQI (p = 0.012), CSDD (p = 0.007), Sleep Disorders Inventory frequency (p = 0.015), and SDI severity (p = 0.015) scores were significantly lower after the intervention compared to baseline. Discussion: This study demonstrates that a circadian-effective lighting intervention delivering bright days and dark nights improves measures of sleep and mood in dementia patients living in controlled environments.

Comparative efficacy of multiple non-pharmacological interventions for behavioural and psychological symptoms of dementia: A network meta-analysis of randomised controlled trials.

Non-pharmacological interventions can improve the behavioural and psychological symptoms of dementia (BPSD). However, the optimal non-pharmacological treatments remain controversial. This study aimed to compare the efficacy of multiple non-pharmacological methods and identify the optimal therapy for BPSD. Potential randomised controlled trials (RCTs) were searched and selected from 15 databases and sources from the inception of the databases until 1 October 2022. Two independent authors implemented study screening, data extraction, and methodological quality assessment. Primary outcome was reduction of Neuropsychiatric Inventory (NPI). The secondary outcome were changes of Cornell Scale for Depression in Dementia (CSDD), the Cohen-Mansfield Agitation Inventory (CMAI), the Quality of Life in Alzheimer's Disease (QoL-AD), the Abilities of Daily Living scale, and the Apathy Evaluation Scale. Meta-analyses were performed using STATA v15.0 and ADDIS v1.16.8. The GRADE approaches were utilised to evaluate evidence quality. The present study included 43 RCTs with 4978 participants. The global methodological quality of the RCTs was moderate. Regarding NPI reduction, with moderate-certainty evidence, exercise plus treatment as usual (TAU) outperformed TAU (mean difference [MD]: -7.13; 95% confidence interval [CI]: -13.22, -0.76) and ranked as the optimal treatment. For reduction in CSDD, with low- to moderate-certainty evidence, massage plus TAU (MD: -15.26; 95% CI: -20.13, -10.52) and music plus TAU (MD: -2.40; 95% CI: -4.62, -0.12) were associated with greater reduction compared with TAU. For reduction in CMAI, with moderate-certainty evidence, aromatherapy plus massage (MD: -15.84; 95% CI: -29.76, -2.42) and massage plus music (MD: -13.12; 95% CI: -25.43, -0.76) were significantly more effective than TAU. For improvement in QoL-AD, with critically low- to low-certainty evidence, there were no statistical differences between any of non-pharmacological treatments and TAU. Due to the limited number of included studies, network meta-analysis was not performed for other outcomes. In conclusion, non-pharmacological treatments are effective for overall symptoms, depression, and agitation. Exercise plus treatment as usual may be an optimal non-pharmacological intervention for improving the overall BPSD. This may help to guide patients, doctors, and policymakers.

Attitude to the disease and quality of life in elderly patients with mild vascular dementia after the novel coronavirus infection

In order to study the types of attitude towards the disease and quality of life (QoL) in elderly patients with mild vascular dementia (MVD) living in the conditions of the psychoneurological institution Social Service House “Severnoye Izmailovo” in Moscow, there were 2 study groups: the patients with the clinical debut of the novel coronavirus infection (NCVI) of 6 months +/– 1 month with the recovery outcome (n=65; 33 men, 32 women) and those who did not have COVID-19 (hospital control group; n=67; 34 men, 33 women). The mean age of the studied patients was 73.05±3.48 years. The age and sex composition of the two groups was homogeneous (p&gt;0.05). Emotional disorders were investigated using the Cornell Scale for Depression in Dementia (CSDD); cognitive disorders – by means of the Montreal Cognitive Assessment (MoCA); QoL – by the Quality of Life in Alzheimer's Disease scale (QoL-AD): QoL self-assessment (QoL-AD-SR (self-rating)) and proxy QoL rating (QoL-AD-PR (proxy rating)); the type of attitude towards the disease – by the TATD scale (Wasserman L.I. et al., 2005). It was found that COVID-19 aggravates cognitive deficits in patients with MVD (according to MoCA 20.80±0.59 /21.40±0.78 points; p&lt;0.05) in the absence of depression (according to CSDD 1.52±0.50 / 1.52±0.84 points in the group of the patients after NCVI / hospital control group, respectively; p&gt;0.05). In the patients after COVID-19, a correlation was found between the proxy QoL rating and the severity of cognitive dysfunction according to the MoCA (R= – 0.28), while in the hospital control group – between the proxy QoL rating and the severity of depressive manifestations (R= – 0.33). The first group of the patients was characterized by a mixed type of attitude to the disease and intrapsychic maladaptation (the neurasthenic type ranked first at 16.03±8.29 / 9.34±5.03 points), while the second group had a diffuse type of attitude to the disease and interpsychic maladaptation (the sensitive type ranked first at 10.31±5.71 / 14.90±7.62 points by the TATD scale among the elderly patients with MVD who have / have not undergone NCVI; p&lt;0.05). The revealed patterns can contribute to the optimization of personalized models of medical and psychological rehabilitation of elderly patients with MVD living in closed-type care facilities.

Inflammatory Cytokines Are Associated with Cognitive Dysfunction and Depressive State during Acute Bacterial Infections and the Recovery Phase.

During a bacterial infection, individuals may present with behavioral changes referred to as sickness behavior, which has been suggested is induced by the inflammatory markers that are released because of the infective immunological challenge. However, few studies have explored this multidimensional phenomenon in naturally occurring conditions. A longitudinal observational study was conducted to explore the role of inflammatory cytokines in mediating the sickness behavior during a bacterial infection. There were 13, 11 and 37 participants in the infection, hospital control and healthy groups, respectively. They were all followed up for 6 weeks and their inflammatory markers were quantified throughout those weeks. Cognitive function and depressive state were assessed by means of the Mini-Mental State Examination (MMSE) and Cornell Scale for Depression in Dementia (CSDD). Reductions in proinflammatory markers C-Reactive protein (CRP), interleukin - 6 (IL6) and tumor necrosis factor-α (TNFα) and increments in anti-inflammatory markers (interleukin - 4 (IL4)) were associated with an improvement in CSDD and MSEE in patients recovering from a bacterial infection. The correlation between inflammatory makers and CSDD was statistically significant for the CRP (r = 0.535, p = 0.001), the IL6 (r = 0.499, p < 0.001), the TNFα (r = 0.235, p = 0.007) and the IL4 (r = -0.321, p = 0.018). Inflammatory cytokines may mediate sickness behavior during acute illness. These results may enhance the understanding of the pathophysiology and potential treatment strategies to palliate this sickness behavior.

The External Validation of the Nursing Homes Short Depression Inventory in Older Adults with Major Neurocognitive Disorders in Long-Term Care Centers

Introduction: Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD. Methods: A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated. Results: The prevalence of depression was 8.8% as per reference standard. NH-SDI’s content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46–100%) sensitivity, 83% (95% CI: 69–91%) specificity, and 36% (95% CI: 14–64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46–100%) sensitivity, 75% (95% CI: 61–86%) specificity, and 28% (95% CI: 11–54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (r_s = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001). Conclusion: The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.

Effectiveness of a home-based, family caregiver–administered manual massage intervention in managing dementia symptoms and reducing caregiver stress: A randomized, controlled clinical trial

ObjectivesTo investigate the effectiveness of family caregiver–administered home-based manual massages in managing dementia symptoms and reducing caregiver stress. MethodsThirty-eight pairs of participants—patients with dementia and their family caregivers—were randomly allocated to the experimental or the control group. The caregivers underwent 3-h-long massage training. Subsequently, the patients received a 30-min-long, home-based massage from their caregivers thrice a week for 8 consecutive weeks. The Cornell Scale for Depression in Dementia (CSDD), Cohen-Mansfield Agitation Inventory (CMAI), and Perceived Stress Scale (PSS) were assessed before and after the interventions. ResultsAfter intervention, the experimental group exhibited significant improvements in CSDD and CMAI scores compared with the scores of the control group (all p < .001). Furthermore, the experimental group obtained more favorable PSS scores than did the control group (p = .013). ConclusionsFamily caregiver–administered home-based massage therapy is recommended for managing dementia symptoms and reducing caregiver stress.

The Effects of Light Therapy for Depression in Dementia: A Systematic Review and Meta-Analysis.

Depression is one of the most common symptoms in patients with dementia. This meta-analysis aimed to evaluate the effect of light therapy on depression associated with dementia by using a single scale. Published studies based on the terms including "Dementia", "depression", and "Phototherapy" were searched. Web of Science, PubMed, Embase, CiNii, CNKI, Wanfang Database, and China Biology Medicine disc were adopted to collect randomized controlled studies or cross-controlled studies using the Cornell Scale for Depression in Dementia (CSDD) until February 2022. GRADE and Review Manager Version 5.4.1 were employed to assess the risk of bias. A meta-analysis was conducted by R 4.0.2 software based on the changes in CSDD scores. A total of 1,055 studies were retrieved from the databases, and six studies were included after screening. Some 406 people with dementia were included with an average age of over 80 years. Forest plot results showed that light intervention improved depression scores of dementia patients (MD = -2.59, 95% CI: -4.46 to -0.71), and light intensity less than 1,000 lux improved depression symptoms of dementia patients (MD = -2.76, 95% CI: -4.55 to -0.97). An intervention that lasted 8 to 12 weeks was the most effective (MD = -3.77, 95% CI: -6.93 to -0.60), and non-stable interventions such as ceiling LED lights exerted more positive effects (MD = -2.12, 95% CI: -3.38 to -0.85). The overall results of the meta-analysis suggested that light intervention can improve the depressive symptoms of older patients with dementia.

0312 Dynamic Lighting in Memory Care Facilities to Improve Sleep and Mood in Older Adults with Dementia

Abstract Introduction Of the estimated 5.8 million people in the United States diagnosed with dementia, approximately one-third experience a chronic sleep disorder. Poor sleep quality in older adults is associated with higher levels of depression, anxiety, agitation, and falls as well as lower levels of cognitive and memory performance. Light is the most important environmental element that is not only necessary to fulfill visual tasks but also is the main stimulus that regulates circadian rhythms. This study aims to investigate the effect of a dynamic lighting intervention on sleep quality and mood in older adults with dementia living in long-term care facilities. Methods The study is conducted as a within-subject study design over 7 days of conventional lighting (Baseline) followed by 21 days of room lighting (Placebo) and then 21 days of dynamic lighting (Treatment). The dynamic lighting intervention is designed to create an ambient illumination that provides a high level of circadian stimulation in the morning and circadian-neutral lighting in the evenings through delivering varying light intensity and spectrum. The placebo condition exposes participants to a static lighting condition that is equivalent to the average room lighting from morning to evening. The human-lighting interaction occurs in the common areas of the selected memory care facility in Phoenix Greater Area, AZ. Participants of this study are individuals over the age of 65 diagnosed with mild to moderate dementia. Actigraphy is conducted on the last 7 days of each condition to monitor sleep quality. Daily light exposure is tracked continuously throughout the waking day using a non-intrusive wearable sensor. Moreover, caregivers complete two questionnaires (Cornell Scale for Depression in Dementia (CSDD) and Cohen-Mansfield Agitation Inventory (CMAI)) every seven days to assess the short and long-term effects of each condition on mood and agitation. Results Findings show notable improvements in mood and nighttime sleep duration and efficiency in participants after exposure to the dynamic condition compared to the baseline and placebo. Conclusion The outcomes of this study provide strong evidence that ambient lighting in memory care facilities is a significant contributor to improving sleep and quality of life of older adults with dementia. Support (if any) None

The Effects of Exercise and Reminiscence Therapy on Depression and Quality of Life Among the Older Adults with Mild Alzheimer’s Disease

Alzheimer’s disease (AD) is the most common cause of dementia in older adults. Depression is an important co-morbid disorder in this group, as it may decrease their quality of life (QoL). Exercise or Reminiscence therapy (RT) is thought to be viable in lessening the degree of depression in older adults. To investigate and compare the impacts of integrated exercise and reminiscence therapy on depression level and QoL in older adults. A single-blinded quasi-experimental study with a comparison group design was conducted on 51 institutionalized older adults with mild-to-moderate AD and were grouped into (i) Reminiscence (RT, n = 17), (ii) exercise (EX, n = 16), and (iii) exercise coupled with Reminiscence (ER, n = 18). The depression level was assessed using the Cornell Scale for Depression in Dementia (CSDD); the QoL was assessed using the QOL–AD scale. A repeated-measures ANOVA was used for data analyses. Results: The reminiscence therapy alone or in combination with the exercise was effective in reducing depression levels and improved QoL in the older adults (p&lt;.05). The reminiscence therapy alone or in combination with the exercise was effective in reducing depression levels and improved QoL in older adults. This study found significant improvements in the mean score of CSDD and QOL–AD of the ER, thus supporting its effectiveness in reducing depressive symptoms and improving QoL in mild AD. These results help as a contribute to the healthcare practices to deliver an integrated reminiscence and exercise in older adults’ rehabilitation.

FACTOR ANALYSIS OF CORNELL SCALE FOR DEPRESSION IN DEMENTIA AMONG ASSISTED LIVING RESIDENTS

Abstract The Cornell Scale for Depression in Dementia (CSDD) was developed to measure depressive symptoms among older adults with dementia. The psychometric qualities of the CSDD have been inconsistent regarding the factor structure, with some studies showing a four-factor model and others a five-factor model. The purpose of this study was to test the factor structure of the CSDD as a measure of depression among a sample of assisted living residents. It was hypothesized that a four-factor version of the CSDD would provide a better fit than a five-factor version of the CSDD. The present study used baseline data from the Function-Focused Care for Assisted Living Using the Evidence Integration Triangle (FFC-AL-EIT) intervention study. A total of 511 residents from 85 assisted living facilities were included in the analyses. Confirmatory factor analyses were conducted to examine the factor structure and a chi-square difference test was conducted to compare model fit. Three items were removed from both models due to small factor loadings. The chi-square difference test indicated that the five-factor model fit the data significantly better (χ2 = 796.08, ∆χ2= 22.86, ∆df = 4, p &amp;lt; .001) than the four-factor model, although both the five-factor and four-factor models produced very poor model fits. These findings may be due to the fact that the CSDD relies on information from caregivers, and the measure might benefit from including observational signs of depression. Future work should examine other factors or items that belong in a depression measure among assisted living residents.

Gender differences in interactions and depressive symptoms among hospitalized older patients living with dementia

Alzheimer’s disease or a related dementia (ADRD) disproportionately affects women with two-thirds of individuals with ADRD comprised of women. This study examined gender-related differences in the quality of staff-patient interactions and depressive symptoms among hospitalized older patients living with dementia. This secondary analysis utilized baseline data of 140 hospitalized older patients with dementia who participated in the final cohort of a randomized controlled trial (ClinicalTrials.gov identifier: NCT03046121) implementing Family centered Function-focused Care (Fam-FFC). On average, the participants (male = 46.1%, female = 52.9%) were 81.43 years old (SD = 8.29), had positive interactions with staff and lower depressive symptoms based on Quality of Interaction Schedule (QUIS) scores and Cornell Scale for Depression in Dementia (CSDD) scores, respectively. Although males had more positive interactions (male = 6.06, SD = 1.13; female = 5.59, SD = 1.51) and lesser depressive symptoms (male = 7.52, SD = 4.77; female = 8.03, SD = 6.25) than females, no statistically significant gender differences were observed in linear models with appropriate covariates or multivariant analysis of covariant (MANCOVA). However, the multigroup regression conducted to further probe marginally significant moderation effect of gender and pain on staff-patient interactions demonstrated that greater pain was significantly related to lower quality or less positive staff-patient interactions for females compared to males (χ 2 diff (1) = 4.84, p = .03). Continued evaluation of gender differences is warranted to inform care delivery and interventions to improve care for hospitalized older patients with dementia.

Brain Morphometric Correlates of Depressive Symptoms among Patients with and without Dementia

Introduction: Findings regarding brain morphometry among patients with dementia and concomitant depressive symptoms have been inconsistent. Thus, the aim of the present study was to test the hypothesis that dementia and concomitant depressive symptoms are associated with structural brain changes in the temporal lobe measured with structural magnetic resonance imaging (MRI). Methods: A sample of 492 patients from Norwegian memory clinics (n = 363) and Old Age Psychiatry services (n = 129) was studied. The assessment included the Cornell Scale for Depression in Dementia (CSDD), Instrumental Activities of Daily Living Scale, Mini Mental State Examination, and MRI of the brain, processed with FreeSurfer to derive ROI measures of cortical thickness, volume, and area using the Desikan-Killiany parcellation, as well as subcortical volumes. Dementia was diagnosed according to ICD-10 research criteria. Correlates of brain morphometry using multiple linear regression were examined. Results: Higher scores on the CSDD were associated with larger cortical volume (β = 0.125; p value = 0.003) and area of the left isthmus of the cingulate gyrus (β = 0.151; p value = <0.001) across all patients. Inclusion of an interaction term (dementia × CSDD) revealed a smaller area in the left temporal pole (β = −0.345; p value = 0.001) and right-transverse temporal cortex (β = −0.321; p value = 0.001) in patients with dementia and depressive symptoms. Discussion/Conclusion: We confirm the previous findings of structural brain changes in temporal regions among patients with dementia and concomitant depressive symptoms. This may contribute to a better understanding of the mechanisms underlying depression in dementia. To the best of our knowledge, this is the largest study conducted on this topic to date.

Which of the Cornell Scale for Depression in Dementia or the Geriatric Depression Scale is more useful to screen for depression in older adults?

Depression in older adults is a major disorder that can be triggering, exacerbating, or co-occurring with dementia symptoms. This study compared the diagnostic accuracy of the Cornell Scale for Depression in Dementia (CSDD) and the Geriatric Depression Scale (GDS), a depression screening tool developed for older adults. Electronic searches were performed on the MEDLINE, EMBASE, CINAHL, and PsycINFO databases using the following keywords: dementia, depression, and CSDD. The pooled sensitivity of the CSDD and the GDS was 0.89 and 0.82, the pooled specificity was 0.88 and 0.85, and the summary receiver operating characteristic (SROC) curve was 0.94 and 0.91, respectively. In the subgroup analysis, the CSDD had the highest accuracy in the pooled sensitivity of 0.91, the pooled specificity of 0.87, and the sROC curve of 0.95 in the dementia group, and the GDS was the best in the non-dementia group at 0.88, 0.82, and 0.93, respectively. The CSDD showed high diagnostic accuracy in older adults with dementia, and the GDS in older adults without dementia.

Vietnamese Version of Cornell Scale for Depression in Dementia at an Outpatient Memory Clinic: A Reliability and Validity Study

Background: In Vietnam, there has been, currently, no standardized tool for depression assessment for people with dementia (PWD). Cornell Scale for Depression in Dementia (CSDD) is a widely studied and used scale for PWD worldwide. Objectives: The aim of this study was to standardize the Vietnamese version of the CSDD (V-CSDD) in depression assessment in PWD through reliability and validity examination. Methods: V-CSDD was rated in terms of reliability and validity with gold standard regarding “major depressive episode” and “major depressive-like episode” of DSM-5. Cronbach’s α, ICC, exploratory factor analysis (EFA), and receiver operating characteristic analysis were performed. Results: V-CSDD was found to have a high internal consistency reliability (Cronbach’s α = 0.80), inter-rater reliability at sound ranking (ICC = 0.89; 95% CI = 0.81–0.94), maximum cut-off mark of 13 (sensitivity = 70%, specificity = 92%), and EFA, which suggested that V-CSDD may comprise 5 factors. Conclusions: Results indicate the V-CSDD to be a reliable and valid assessment and to be beneficial in classifying and diagnosing depression in dementia outpatients in clinical contexts.

Detecting depression in persons living in long-term care: a systematic review and meta-analysis of diagnostic test accuracy studies

Depressive disorders are common in long-term care (LTC), however, there is no one process used to detect depressive disorders in this setting. Our goal was to describe the diagnostic accuracy of depression detection tools used in LTC settings. We conducted a systematic review and meta-analysis of diagnostic accuracy measures. The databases PubMed, EMBASE, PsycINFO and CINAHL were searched from inception to 10 September 2021. Studies involving persons living in LTC, assisted living residences or facilities, comparing diagnostic accuracy of depression tools with a reference standard, were included. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to assess risk of bias. We identified 8,463 citations, of which 20 studies were included in qualitative synthesis and 19 in meta-analysis. We identified 23 depression detection tools (including different versions) that were validated against a reference standard. At a cut-off point of 6 on the Geriatric Depression Scale-15 (GDS-15), the pooled sensitivity was 73.6% (95% confidence interval (CI) 43.9%-76.5%), specificity was 76.5% (95% CI 62.9%-86.7%), and an area under the curve was 0.83. There was significant heterogeneity in these analyses. There was insufficient data to conduct meta-analysis of other screening tools. The Nursing Homes Short Depression Inventory (NH-SDI) had a sensitivity ranging from 40.0% to 98.0%. The 4-item Cornell Scale for Depression in Dementia (CSDD) had the highest sensitivity (67.0%-90.0%) for persons in LTC living with dementia. There are 23 tools validated for detection of depressive disorders in LTC, with the GDS-15 being the most studied. Tools developed specifically for use in LTC settings include the NH-SDI and CSDD-4, which provide briefer options to screen for depression. However, more studies of both are needed to examine tool accuracy using meta-analyses.