Multidimensional Evaluation of All-Cause Mortality Risk and Survival Analysis for Hospitalized Patients with COVID-19

Abstract Introduction Atrial fibrillation (AF) is the most common arrythmia. Both its incidence and prevalence increased significantly during the last decades. AF is associated with high morbidity and mortality. Purpose The aim of this study was to describe and evaluate the trends of all-cause mortality in patients first-ever hospitalized for AF, and the effect of age, sex, stroke risk, and education level on mortality over time. Methods In this observational retrospective cohort study, we enrolled the patients who were hospitalized primarily and for the first time because of AF between 1st January 1995 and 31st December 2004. In regard to the date of the index admission patients were divided into four cohorts and they were followed up to five years. Patients were compared with an age and sex matched control population. All data were collected from Swedish national registries. Kaplan-Meier plots and Cox regression with trend analysis were used for statistical evaluation. Results In total 64 489 AF patients (mean age 72±10.1 year) were included in this study. The control group comprised 116 893 individuals. 81.9% of the women and 58.5% of the men were older than 65 years of age. 65.5% of women and 58.5% of the men had a stroke risk of CHADS2-VA2Sc ≥2. We found a significantly decreasing trend of the relative risk for all-cause mortality in AF patients over time: trend HR: 0.94 (95% CI: 0.92–0.96, p<0.001) in women and trend HR: 0.91 (95% CI: 0.89–0.93 p<0.001) in men. The mortality trends between AF patients and their controls did not show significant difference: trend HR: 0.99 (95% CI: 0.96–1.02, p=0.59) in women and trend HR: 1.00 (95% CI: 0.97–1.03, p=0.98) in men. The subpopulation analysis showed that the mortality risk remained unchanged over the time in women aged 18–69 years (trend HR: 0.91 – 95% CI: 0.82–1.02, p=0.099), in patients with low stroke risk (trend HR: 1.08 – 95% CI: 0.92–1.26, p=0.36 in women and trend HR: 0.95 – 95% CI: 0.87–1.05, p=0.30 in men) and in patients with post-secondary level of education (trend HR: 0.93 – 95% CI 0.83–1.04, p=0.23 in women and trend HR: 1.04 – 95% CI: 0.96–1.12, p=0.32 in men). Conclusion The all-cause mortality risk of the AF hospitalized patients was higher compared to control population and had a decreasing tendency during the time of the study. However, this trend is not significantly different from the control population. We found unchanged mortality trend in younger patients, in those with lower stroke risk, and in patients with higher education level. FUNDunding Acknowledgement Type of funding sources: None.

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Low vitamin K status predicts mortality in a cohort of 138 hospitalized patients with COVID-19

10.1101/2020.12.21.20248613 ◽

2020 ◽

Author(s):

A Linneberg ◽

FB Kampmann ◽

SB Israelsen ◽

LR Andersen ◽

HL Jørgensen ◽

...

Keyword(s):

Survival Analysis ◽

Vitamin K ◽

Mortality Risk ◽

Potential Role ◽

Cox Regression ◽

Hospitalized Patients ◽

Matrix Gla Protein ◽

Peripheral Tissue ◽

Population Controls

AbstractIt has recently been hypothesised that Vitamin K could play a role in COVID-19. We aimed to test the hypothesis that low vitamin K status is a common characteristic of patients hospitalized with COVID-19 compared to population controls; and that low vitamin K status predicts mortality in COVID-19 patients. In a cohort of 138 COVID-19 patients and 140 population controls, we measured plasma dephosphorylated-uncarboxylated Matrix Gla Protein (dp-ucMGP), which reflects the functional Vitamin K status in peripheral tissue. Fourty-three patients died within 90-days from admission. In patients, levels of dp-ucMGP differed significantly between survivors (mean 877; 95% CI: 778; 995) and non-survivors (mean 1445; 95% CI: 1148; 1820). Furthermore, levels of dp-ucMGP (pmol/L) were considerably higher in patients (mean 1022; 95% CI: 912; 1151) compared to controls (mean 509; 95% CI: 485; 540). Cox regression survival analysis showed that increasing levels of dp-ucMGP (reflecting low Vitamin K status) were associated with higher mortality risk (sex- and age-adjusted hazard ratio per doubling of dp-ucMGP was 1.50, 95% CI: 1.03; 2.18). In conclusion, we found that low Vitamin K status predicted mortality in patients with COVID-19 supporting a potential role of Vitamin K in COVID-19.

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

European Journal of Heart Failure Supplements ◽

10.1016/s1567-4215(07)60295-1 ◽

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

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The Mortality Risk of Proton Pump Inhibitors in 1.9 Million U.S. Seniors: An Extended Cox Survival Analysis

Clinical Gastroenterology and Hepatology ◽

10.1016/j.cgh.2021.01.014 ◽

2021 ◽

Author(s):

Seo H. Baik ◽

Kin-Wah Fung ◽

Clement J. McDonald

Keyword(s):

Survival Analysis ◽

Proton Pump Inhibitors ◽

Proton Pump ◽

Mortality Risk

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

Innovation in Aging ◽

10.1093/geroni/igaa057.1632 ◽

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.

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

Innovation in Aging ◽

10.1093/geroni/igaa057.642 ◽

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.

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

Kidney Diseases ◽

10.1159/000510513 ◽

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

Background: 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. Methods: 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). Results: 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 (I2 = 79.6%, p < 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. Conclusion: A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.

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

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.1872 ◽

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

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