Depression (differential diagnoses)

About: Depression (differential diagnoses) is a research topic. Over the lifetime, 56557 publications have been published within this topic receiving 2048357 citations.

Depression Following Myocardial Infarction: Impact on 6-Month Survival

Abstract: Objective. —To determine if the diagnosis of major depression in patients hospitalized following myocardial infarction (Ml) would have an independent impact on cardiac mortality over the first 6 months after discharge. Design. —Prospective evaluation of the impact of depression assessed using a modified version of the National Institute of Mental Health Diagnostic Interview Schedule for major depressive episode. Cox proportional hazards regression was used to evaluate the independent impact of depression after control for significant clinical predictors in the data set. Setting. —A large, university-affiliated hospital specializing in cardiac care, located in Montreal, Quebec. Patients. —All consenting patients (N=222) who met established criteria for Ml between August 1991 and July 1992 and who survived to be discharged from the hospital. Patients were interviewed between 5 and 15 days following the MI and were followed up for 6 months. There were no age limits (range, 24 to 88 years; mean, 60 years). The sample was 78% male. Primary Outcome Measure. —Survival status at 6 months. Results. —By 6 months, 12 patients had died. All deaths were due to cardiac causes. Depression was a significant predictor of mortality (hazard ratio, 5.74; 95% confidence interval, 4.61 to 6.87;P=.0006). The impact of depression remained after control for left ventricular dysfunction (Killip class) and previous Ml, the multivariate significant predictors of mortality in the data set (adjusted hazard ratio, 4.29; 95% confidence interval, 3.14 to 5.44;P=.013). Conclusion. —Major depression in patients hospitalized following an Ml is an independent risk factor for mortality at 6 months. Its impact is at least equivalent to that of left ventricular dysfunction (Killip class) and history of previous Ml. Additional study is needed to determine whether treatment of depression can influence post-MI survival and to assess possible underlying mechanisms. (JAMA. 1993;270:1819-1825)

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Abstract: Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.

Potential for primary prevention of Alzheimer's disease: an analysis of population-based data

Abstract: Summary Background Recent estimates suggesting that over half of Alzheimer's disease burden worldwide might be attributed to potentially modifiable risk factors do not take into account risk-factor non-independence. We aimed to provide specific estimates of preventive potential by accounting for the association between risk factors. Methods Using relative risks from existing meta-analyses, we estimated the population-attributable risk (PAR) of Alzheimer's disease worldwide and in the USA, Europe, and the UK for seven potentially modifiable risk factors that have consistent evidence of an association with the disease (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, and low educational attainment). The combined PAR associated with the risk factors was calculated using data from the Health Survey for England 2006 to estimate and adjust for the association between risk factors. The potential of risk factor reduction was assessed by examining the combined effect of relative reductions of 10% and 20% per decade for each of the seven risk factors on projections for Alzheimer's disease cases to 2050. Findings Worldwide, the highest estimated PAR was for low educational attainment (19·1%, 95% CI 12·3–25·6). The highest estimated PAR was for physical inactivity in the USA (21·0%, 95% CI 5·8–36·6), Europe (20·3%, 5·6–35·6), and the UK (21·8%, 6·1–37·7). Assuming independence, the combined worldwide PAR for the seven risk factors was 49·4% (95% CI 25·7–68·4), which equates to 16·8 million attributable cases (95% CI 8·7–23·2 million) of 33·9 million cases. However, after adjustment for the association between the risk factors, the estimate reduced to 28·2% (95% CI 14·2–41·5), which equates to 9·6 million attributable cases (95% CI 4·8–14·1 million) of 33·9 million cases. Combined PAR estimates were about 30% for the USA, Europe, and the UK. Assuming a causal relation and intervention at the correct age for prevention, relative reductions of 10% per decade in the prevalence of each of the seven risk factors could reduce the prevalence of Alzheimer's disease in 2050 by 8·3% worldwide. Interpretation After accounting for non-independence between risk factors, around a third of Alzheimer's diseases cases worldwide might be attributable to potentially modifiable risk factors. Alzheimer's disease incidence might be reduced through improved access to education and use of effective methods targeted at reducing the prevalence of vascular risk factors (eg, physical inactivity, smoking, midlife hypertension, midlife obesity, and diabetes) and depression. Funding National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care for Cambridgeshire and Peterborough.