A Novel EEG Derived Measure of Disrupted Delta Wave Activity during Sleep Predicts All-Cause Mortality Risk

2021 ◽  
Author(s):  
Bastien Lechat ◽  
Kristy L Hansen ◽  
Yohannes Adama Melaku ◽  
Andrew Vakulin ◽  
Gorica Micic ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Wave Activity ◽  
Delta Wave ◽  
All Cause Mortality

486 Clinical composite endpoint classification of REVIVE II corresponds to all-cause mortality risk

2007 ◽  
Vol 6 (1) ◽  
pp. 106-107
Author(s):  
J TEERLINK ◽  
L DELGADOHERRERA ◽  
R THAKKAR ◽  
B HUANG ◽  
R PADLEY
Keyword(s):  
Mortality Risk ◽  
Composite Endpoint ◽  
All Cause Mortality

scholarly journals High School Quality and 56-Year All-Cause Mortality Risk Across Race and Ethnicity

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 505-506
Author(s):  
Dominika Seblova ◽  
Kelly Peters ◽  
Susan Lapham ◽  
Laura Zahodne ◽  
Tara Gruenewald ◽  
...  
Keyword(s):  
High School ◽  
Mortality Risk ◽  
Race And Ethnicity ◽  
Proportional Hazards ◽  
School Quality ◽  
Cox Proportional Hazards ◽  
School Level ◽  
Lower Mortality ◽  
All Cause Mortality ◽  
Race Ethnicity

Abstract Having more years of education is independently associated with lower mortality, but it is unclear whether other attributes of schooling matter. We examined the association of high school quality and all-cause mortality across race/ethnicity. In 1960, about 5% of US high schools participated in Project Talent (PT), which collected information about students and their schools. Over 21,000 PT respondents were followed for mortality into their eighth decade of life using the National Death Index. A school quality factor, capturing term length, class size, and teacher qualifications, was used as the main predictor. First, we estimated overall and sex-stratified Cox proportional hazards models with standard errors clustered at the school level, adjusting for age, sex, composite measure of parental socioeconomic status, and 1960 cognitive ability. Second, we added an interaction between school quality and race/ethnicity. Among this diverse cohort (60% non-Hispanic Whites, 23% non-Hispanic Blacks, 7% Hispanics, 10% classified as another race/s) there were 3,476 deaths (16.5%). School quality was highest for Hispanic respondents and lowest for non-Hispanic Blacks. Non-Hispanic Blacks also had the highest mortality risk. In the whole sample, school quality was not associated with mortality risk. However, higher school quality was associated with lower mortality among those classified as another race/s (HR 0.75, 95% CI: 0.56-0.99). For non-Hispanic Blacks and Whites, the HR point estimates were unreliable, but suggest that higher school quality is associated with increased mortality. Future work will disentangle these differences in association of school quality across race/ethnicity and examine cause-specific mortality.

scholarly journals Effect of Perceived Social Support on Mortality Rate Among Older Chinese Americans

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 198-199
Author(s):  
Charu Verma ◽  
Mengting Li ◽  
XinQi Dong
Keyword(s):  
Social Support ◽  
Mortality Risk ◽  
Perceived Social Support ◽  
Chinese Americans ◽  
Well Being ◽  
Time Of Death ◽  
All Cause Mortality ◽  
Older Chinese ◽  
Older Chinese Americans ◽  
Over Time

Abstract Most existing studies have examined the relationship between social support and health in cross-sectional data. However, the changing dynamics of social support over time and its relationship with all-cause mortality have not been well explored. Using data from the Pine Study (N = 3,157), this study examined whether social support was associated with time of death at an 8 years follow-up among older Chinese Americans. Social support from a spouse, family members and friend were collected at the baseline using an HRS social support scale. Perceived social support and time of death were ascertained from the baseline through wave 4. Cox proportional hazard models were used to assess associations of perceived support with the risk of all-cause mortality using time-varying covariate analyses. Covariates included age, sex, education, income, and medical comorbidities. All study participants were followed up for 8 years, during which 492 deaths occurred. In multivariable analyses, the results showed that positive family support [HR 0.91; 95% CI (0.86, 0.98)] and overall social support [HR 0.95; 95% CI (0.92,0.98)] were significantly associated with a lower risk of 8-year mortality. Results demonstrate robust association in which perceived positive family and overall social support over time had a protective effect on all-cause mortality risk in older Chinese Americans. Interventions could focus on older adults with low social support and protect their health and well-being. Future studies could further explore why social support from family is different from social support from other sources regarding mortality risk in older Chinese Americans.

scholarly journals Prognostic Value of Serum Magnesium in Mortality Risk among Patients on Hemodialysis: A Meta-Analysis of Observational Studies

2020 ◽  
pp. 1-10
Author(s):  
Hongwei Wu ◽  
Qiang Li ◽  
Lijing Fan ◽  
Dewang Zeng ◽  
Xianggeng Chi ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Observational Studies ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Serum Magnesium ◽  
Cochrane Library ◽  
Lower Serum ◽  
All Cause Mortality ◽  
End Stage

<b><i>Background:</i></b> Previous studies have reported that serum magnesium (Mg) deficiency is involved in the development of heart failure, particularly in patients with end-stage kidney disease. The association between serum Mg levels and mortality risk in patients receiving hemodialysis is controversial. We aimed to estimate the prognostic value of serum Mg concentration on all-cause mortality and cardiovascular mortality in patients receiving hemodialysis. <b><i>Methods:</i></b> We did a systematic literature search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify eligible studies that reported the prognostic value of serum Mg levels in mortality risk among patients on hemodialysis. We performed a meta-analysis by pooling and analyzing hazard ratios (HRs) and 95% confidence intervals (CIs). <b><i>Results:</i></b> We identified 13 observational studies with an overall sample of 42,967 hemodialysis patients. Higher all-cause mortality (adjusted HR 1.58 [95% CI: 1.31–1.91]) and higher cardiovascular mortality (adjusted HR 3.08 [95% CI: 1.27–7.50]) were found in patients with lower serum Mg levels after multivariable adjustment. There was marked heterogeneity (<i>I</i><sup>2</sup> = 79.6%, <i>p</i> &#x3c; 0.001) that was partly explained by differences in age stratification and study area. In addition, subgroup analysis showed that a serum Mg concentration of ≤1.1 mmol/L might be the vigilant cutoff value. <b><i>Conclusion:</i></b> A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.

scholarly journals POS0141 ACTIVE SCREENING FOR GOUT IDENTIFIES A LARGER CARDIOVASCULAR POPULATION AT HIGH MORTALITY RISK

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 282.2-282
Author(s):  
S. Ruiz-Simón ◽  
I. Calabuig ◽  
M. Gomez-Garberi ◽  
M. Andrés
Keyword(s):  
High Mortality ◽  
Mortality Risk ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Field Studies ◽  
High Mortality Risk ◽  
Active Screening ◽  
Tertiary Centre ◽  
All Cause Mortality

Background:We have recently revealed by active screening that about a third of gout cases in the cardiovascular population is not registered in records [1], highlighting the value of field studies.Objectives:To assess whether gout screening in patients hospitalized for cardiovascular events may also help identify patients at higher risk of mortality after discharge.Methods:A retrospective cohort field study, carried out in 266 patients admitted for cardiovascular events in the Cardiology, Neurology and Vascular Surgery units of a tertiary centre in Spain. The presence of gout was established by records review and face-to-face interview, according to the 2015 ACR/EULAR criteria. The occurrence of mortality during follow-up and its causes were obtained from electronic medical records. The association between gout and subsequent mortality was tested using Cox regression models. Whether covariates affect the gout-associated mortality was also studied.Results:Of 266 patients recruited at baseline, 17 were excluded due to loss to follow-up (>6mo), leaving a final sample of 249 patients (93.6%). Thirty-six cases (14.5% of the sample) were classified as having gout: twenty-three (63.9%) had a previously registered diagnosis, while 13 (36.1%) had not and was established by the interview.After discharge, the mean follow-up was 19.9 months (SD ±8.6), with a mortality incidence of 21.6 deaths per 100 patient-years, 34.2% by cardiovascular causes.Gout significantly increased the risk of subsequent all-cause mortality, with a hazard ratio (HR) of 2.01 (95%CI 1.13 to 3.58). When the analysis was restricted to gout patients with registered diagnosis, the association remained significant (HR 2.89; 95%CI 1.54 to 5.41).The adjusted HR for all-cause mortality associated with gout was 1.86 (95% CI 1.01-3.40). Regarding the causes of death, both cardiovascular and non-cardiovascular were numerically increased.Secondary variables rising the mortality risk in those with gout were age (HR 1.07; 1.01 to 1.13) and coexistent renal disease (HR 4.70; 1.31 to 16.84), while gender, gout characteristics and traditional risk factors showed no impact.Conclusion:Gout was confirmed an independent predictor of subsequent all-cause mortality in patients admitted for cardiovascular events. Active screening for gout allowed identifying a larger population at high mortality risk, which may help tailor optimal management to minimize the cardiovascular impact.References:[1]Calabuig I, et al. Front Med (Lausanne). 2020 Sep 29;7:560.Disclosure of Interests:Silvia Ruiz-Simón: None declared, Irene Calabuig: None declared, Miguel Gomez-Garberi: None declared, Mariano Andrés Speakers bureau: Grunenthal, Menarini, Consultant of: Grunenthal, Grant/research support from: Grunenthal

scholarly journals ‘Fat but powerful’ paradox: association of muscle power and adiposity markers with all-cause mortality in older adults from the EXERNET multicentre study

2021 ◽  
pp. bjsports-2020-103720
Author(s):  
Julian Alcazar ◽  
David Navarrete-Villanueva ◽  
Asier Mañas ◽  
Alba Gómez-Cabello ◽  
Raquel Pedrero-Chamizo ◽  
...  
Keyword(s):  
Older Adults ◽  
Waist Circumference ◽  
Older People ◽  
Multicentre Study ◽  
Mortality Risk ◽  
Muscle Power ◽  
Smoking Status ◽  
Relative Power ◽  
Fat Percentage ◽  
All Cause Mortality

ObjectivesTo assess the influence of muscle power and adiposity on all-cause mortality risk and to evaluate the ‘fat but powerful’ (F+P) (or ‘fat but fit’) paradox in older adults.MethodsA total of 2563 older adults (65‒91 years old) from the EXERNET multicentre study were included. Adiposity (body mass index (BMI), waist circumference, body fat percentage (BF%) and fat index), allometric and relative power (sit-to-stand muscle power test) and various covariates (age, sex, hypertension, smoking status and walking and sitting times per day) were registered at baseline. All-cause mortality was recorded during a median follow-up of 8.9 years. Participants were classified into four groups: lean and powerful (L+P), F+P, lean but weak and fat and weak (F+W). Cox proportional hazard regression models and adjusted HRs were calculated.ResultsAccording to BMI and waist circumference, all-cause mortality risk was reduced in the F+P (HR=0.55 and 0.63, p=0.044 and 0.049, respectively) and L+P (HR=0.57 and 0.58, p=0.043 and 0.025, respectively) groups. According to BF%, all-cause mortality decreased in the L+P group (HR=0.53; p=0.021), and a trend for a reduction was reported in the F+P group (HR=0.57; p=0.060). According to fat index, a survival benefit was only noted in the L+P group (HR=0.50; p=0.049). Higher levels of relative power reduced all-cause mortality risk among older people (HR=0.63 and 0.53, p=0.006 and 0.011, respectively).ConclusionPowerful older people exhibited a reduced 9-year all-cause mortality regardless of BMI, waist circumference and BF%. Obesity according to fat index blunted the survival benefits of being powerful.

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