Mary Amanda Dew

The Association of Late-Life Depression and Anxiety With Physical Disability: A Review of the Literature and Prospectus for Future Research

Depression and anxiety disorders are associated with excess disability. The authors searched the recent geriatric literature for studies associating late-life depression or anxiety with physical disability. Studies showed depression in old age to be an independent risk factor for disability; similarly, disability was found to be a risk factor for depression. Anxiety in late life was also found to be a risk factor for disability, although not necessarily independently of depression. Increased disability due to depression is only partly explained by differences in socioeconomic measures, medical conditions, and cognition. Physical disability improves with treatment for depression; comparable studies have not been done for anxiety. The authors discuss how these findings inform current concepts of physical disability and discuss the implications for future intervention studies of late-life depression and anxiety disorders.

Late-life depression and risk of vascular dementia and Alzheimer’s disease: systematic review and meta-analysis of community-based cohort studies

BACKGROUND Late-life depression may increase the risk of incident dementia, in particular of Alzheimers disease and vascular dementia. AIMS To conduct a systematic review and meta-analysis to evaluate the risk of incident all-cause dementia, Alzheimers disease and vascular dementia in individuals with late-life depression in population-based prospective studies. METHOD A total of 23 studies were included in the meta-analysis. We used the generic inverse variance method with a random-effects model to calculate the pooled risk of dementia, Alzheimers disease and vascular dementia in older adults with late-life depression. RESULTS Late-life depression was associated with a significant risk of all-cause dementia (1.85, 95% CI 1.67-2.04, P<0.001), Alzheimers disease (1.65, 95% CI 1.42-1.92, P<0.001) and vascular dementia (2.52, 95% CI 1.77-3.59, P<0.001). Subgroup analysis, based on five studies, showed that the risk of vascular dementia was significantly higher than for Alzheimers disease (P = 0.03). CONCLUSIONS Late-life depression is associated with an increased risk for all-cause dementia, vascular dementia and Alzheimers disease. The present results suggest that it will be valuable to design clinical trials to investigate the effect of late-life depression prevention on risk of dementia, in particular vascular dementia and Alzheimers disease.

Healthy older adults' sleep predicts all-cause mortality at 4 to 19 years of follow-up.

Objective Evidence concerning whether sleep disturbances in older adults predict mortality is mixed. However, data are limited to self-reported sleep problems and may be confounded with other comorbidities. We examined whether electroencephalographic (EEG) sleep parameters predicted survival time independently of known predictors of all-cause mortality. Methods A total of 185 healthy older adults, primarily in their 60s through 80s, with no history of mental illness, sleep complaints, or current cognitive impairment, were enrolled in one of eight research protocols between October 1981 and February 1997 that included EEG sleep assessments. At follow-up (mean [SD] = 12.8 [3.7] years after baseline, range = 4.1–19.5), 66 individuals were positively ascertained as deceased and 118 remained alive (total N = 184). Results Controlling for age, gender, and baseline medical burden, individuals with baseline sleep latencies greater than 30 minutes were at 2.14 times greater risk of death (p = .005, 95% CI = 1.25–3.66). Those with sleep efficiency less than 80% were at 1.93 times greater risk (p = .014, CI = 1.14–3.25). Individuals with rapid eye movement (REM) sleep percentages in the lowest 15% or highest 15% of the total sample’s distribution (percentage of REM <16.1 or >25.7) were at 1.71 times greater risk (p = .045, CI = 1.01–2.91). Percentage of slow-wave sleep was associated with time to death at the bivariate level, but not after controlling for potential confounders. Conclusions Older adults with specific EEG sleep characteristics have an excess risk of dying beyond that associated with age, gender, or medical burden. The findings suggest that interventions to optimize and protect older adults’ sleep initiation, continuity, and quality may be warranted.

Rates and risk factors for nonadherence to the medical regimen after adult solid organ transplantation.

Background. Despite the impact of medical regimen nonadherence on health outcomes after organ transplantation, there is mixed and conflicting evidence regarding the prevalence and predictors of posttransplant nonadherence. Clinicians require precise information on nonadherence rates in order to evaluate patients’ risks for this problem. Methods. A total of 147 studies of kidney, heart, liver, pancreas/kidney-pancreas, or lung/heart-lung recipients published between 1981 and 2005 were included in a meta-analysis. Average nonadherence rates were calculated for 10 areas of the medical regimen. Correlations between nonadherence and patient psychosocial risk factors were examined. Results. Across all types of transplantation, average nonadherence rates ranged from 1 to 4 cases per 100 patients per year (PPY) for substance use (tobacco, alcohol, illicit drugs), to 19 to 25 cases per 100 PPY for nonadherence to immunosuppressants, diet, exercise, and other healthcare requirements. Rates varied significantly by transplant type in two areas: immunosuppressant nonadherence was highest in kidney recipients (36 cases per 100 PPY vs. 7 to 15 cases in other recipients). Failure to exercise was highest in heart recipients (34 cases per 100 PPY vs. 9 to 22 cases in other recipients). Demographics, social support, and perceived health showed little correlation with nonadherence. Pretransplant substance use predicted posttransplant use. Conclusions. The estimated nonadherence rates, overall and by transplant type, allow clinicians to gauge patient risk and target resources accordingly. Nonadherence rates in some areas—including immunosuppressant use—appear unacceptably high. Weak correlations of most patient psychosocial factors with nonadherence suggest that attention should focus on other classes of variables (e.g., provider-related and systems-level factors), which may be more influential.

Comorbidity of depression with other medical diseases in the elderly.

A major factor in the context of evaluating depression in the elderly is the role of medical problems. With aging there is a rapid increase in the prevalence of a number of medical disorders, including cancer, heart disease, Parkinsons disease, Alzheimers disease, stroke, and arthritis. In this article, we hope to bring clarity to the definition of comorbidity and then discuss a number of medical disorders as they relate to depression. We evaluate medical comorbidity as a risk factor for depression as well as the converse, that is, depression as a risk factor for medical illness. Most of the disorders that we focus on occur in the elderly, with the exception of HIV infection. This review focuses exclusively on unipolar disorder. The review summarizes the current state of the art and also makes recommendations for future directions.

Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges.

The number of older Americans afflicted by Alzheimer disease and related dementias will triple to 13 million persons by 2050, thus greatly increasing healthcare needs. An approach to this emerging crisis is the development and deployment of intelligent assistive technologies that compensate for the specific physical and cognitive deficits of older adults with dementia, and thereby also reduce caregiver burden. The authors conducted an extensive search of the computer science, engineering, and medical databases to review intelligent cognitive devices, physiologic and environmental sensors, and advanced integrated sensor networks that may find future applications in dementia care. Review of the extant literature reveals an overwhelming focus on the physical disability of younger persons with typically nonprogressive anoxic and traumatic brain injuries, with few clinical studies specifically involving persons with dementia. A discussion of the specific capabilities, strengths, and limitations of each technology is followed by an overview of research methodological challenges that must be addressed to achieve measurable progress to meet the healthcare needs of an aging America.

Posttraumatic stress disorder and service utilization among urban mental health center clients.

Although the urban poor are at high risk for exposure to trauma, community mental health clinics rarefy diagnose clients with PTSD. Failure to diagnose PTSD may undermine the effectiveness of services provided. Our objectives were to (1) assess prevalence of traumatic experiences and PTSD, and (2) examine differences in service utilization between those who had PTSD and those who did not. Interview data were gathered from 181 urban psychiatric outpatients. A substantial number of clients had experienced at least one lifetime trauma (94%), and of those, 42% had PTSD during the past year. Analyses comparing service use between PTSD and nonPTSD clients supported our expectation that clients with PTSD would use more mental health services, and would be less satisfied with services than their nonPTSD counterparts.

Prevalence of cognitive disorders differs as a function of age in HIV virus infection.

Objectives: Ten per cent of all new cases of AIDS in the United States are in persons older than 50 years. This is particularly problematical in the case of the neuropsychiatric consequences of HIV, because there are neuropsychiatric disorders which become common in older individuals in the absence of HIV. The purpose of this report is to describe the prevalence and incidence of cognitive impairment in HIV-infected individuals enrolled in a community-based study. Design: The study consisted of community-based, sentinel survey physician referrals of HIV-infected patients, with volunteer recruitment of risk-appropriate seronegative controls. One-year longitudinal follow-up study. Methods: Detailed neuropsychiatric evaluations were performed at study entry and after one year. A brief, interim visit tracked incident change. Each subjects neuropsychological test performance was classified as normal, demented, or cognitive impairment (not demented). Results: The prevalence of cognitive disorder among HIV-positive individuals over 50 years was significantly greater than in individuals younger than 50 years. Among older participants, dementia was the more common classification (23%), whereas among younger participants, a milder form of cognitive impairment was more prevalent (22%). Alcohol abuse/dependence was a significant risk factor for a disorder, whereas greater education was a protective factor. The one-year incidence of disorder in the sample overall was low (7.3%), and age was not a significant risk factor. However, HIV viral load at study entry was significantly higher among those participants who had developed cognitive impairment one year later. Conclusion: Age is a significant risk modifier for prevalent neuropsychological disorder.

Meta-Analysis of Risk for Relapse to Substance Use After Transplantation of the Liver or Other Solid Organs

For patients receiving liver or other organ transplants for diseases associated with substance use, risk for relapse posttransplantation is a prominent clinical concern. However, there is little consensus regarding either the prevalence or risk factors for relapse to alcohol or illicit drug use in these patients. Moreover, the evidence is inconsistent as to whether patients with pretransplantation substance use histories show poorer posttransplantation medical adherence. We conducted a meta‐analysis of studies published between 1983 and 2005 to estimate relapse rates, rates of nonadherence to the medical regimen, and the association of potential risk factors with these rates. The analysis included 54 studies (50 liver, 3 kidney, and 1 heart). Average alcohol relapse rates (examined only in liver studies) were 5.6 cases per 100 patients per year (PPY) for relapse to any alcohol use and 2.5 cases per 100 PPY for relapse with heavy alcohol use. Illicit drug relapse averaged 3.7 cases per 100 PPY, with a significantly lower rate in liver vs. other recipients (1.9 vs. 6.1 cases). Average rates in other areas (tobacco use, immunosuppressant and clinic appointment nonadherence) were 2 to 10 cases per 100 PPY. Risk factors could be examined only for relapse to any alcohol use. Demographics and most pretransplantation characteristics showed little correlation with relapse. Poorer social support, family alcohol history, and pretransplantation abstinence of ≤6 months showed small but significant associations with relapse (r = 0.17‐0.21). Future research should focus on improving the prediction of risk for substance use relapse, and on testing interventions to promote continued abstinence posttransplantation. Liver Transpl 14:159–172. 2008.

Alcohol consumption patterns and predictors of use following liver transplantation for alcoholic liver disease

For patients who receive a liver transplant (LTX) for alcoholic liver disease (ALD), investigators are focusing beyond survival to determine specific alcohol use outcomes. Studies suggest the use of alcohol ranges from 8 to 22% for the first post‐transplant year with cumulative rates reaching 30 to 40% by 5 years following transplantation. Yet while investigators are interested in determining specific rates of alcohol use and predictors of use, only three studies since 1990 have been prospective. In 1998, we began a prospective study of post‐LTX alcohol consumption in ALD recipients using multiple repeated measures of alcohol use. After 5 years of follow‐up, we found that 22% had used any alcohol by the first year and 42% had a drink by 5 years. By 5 years, 26% drank at a heavier use (binge) pattern and 20% drank in a frequent pattern. In a univariate model, predictors of alcohol use included pre‐transplant length of sobriety, a diagnosis of alcohol dependence, a history of other substance use, and prior alcohol rehabilitation. Liver Transpl 12:813–820, 2006.