scholarly journals Twenty-Year Trajectory-Patterns of Percentage Energy From Dietary Fat vs. Carbohydrate Throughout Adult Life and Associations With Cardio-Metabolic Disease and All-Cause Mortality

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaoyu Guo ◽  
Xiaoqing Xu ◽  
Jian Gao ◽  
Weiqi Wang ◽  
Wanying Hou ◽  
...  
Keyword(s):  
Metabolic Disease ◽  
Dietary Fat ◽  
Latent Class ◽  
Cox Regression ◽  
Adult Life ◽  
Dietary Guidelines ◽  
Energy Ratio ◽  
Health Impacts ◽  
All Cause Mortality ◽  
Trajectory Pattern

Background: The health impacts of dietary fat-to-energy ratio (FER) compared to carbohydrate-to-energy ratio (CER) are widely discussed topics in public health. This study aimed to assess the health impacts of FER and CER by establishing trajectory-patterns of FER and CER over the course of adult life.Methods: This study used the weighted longitudinal data of the China Health and Nutrition Survey, including eight surveys from 1991 to 2011. The trajectories of FER and CER were determined via latent class trajectory modeling. The trajectories were then cross-grouped into different trajectory-patterns. Multivariate Cox regression models were used to assess the relationship between these trajectory-patterns and cardio-metabolic diseases and all-cause mortality. Ten thousand nine hundred and twenty-six adults with a total of 50,693 observations across eight surveys were included.Results: Compared to the trajectory-pattern of persistently low-FER (increased from 10 to 20%) and moderate-CER (stable and ranging from 55 to 65%) over the adult life-course, the two trajectory-patterns that showed changing to high-FER and low-CER were significantly associated with obesity [HR 1.83 [95% CI, 1.10–3.04]; HR 1.46 [95% CI, 1.02–2.17]], diabetes [HR 1.80 [95% CI, 1.03–3.16]; HR 1.49 [95% CI, 1.01–2.25]], and all-cause mortality [HR 2.29 [95% CI, 1.35–3.87]; HR 1.62 [95% CI, 1.18–2.22]]. In contrast, the trajectory-pattern of a persistently low-FER and high-CER diet was not associated with obesity [HR 1.19 [95% CI, 0.82–1.17]], diabetes [HR 1.41 [95% CI, 0.98–2.02]], cardiovascular-disease [HR 1.48 [95% CI, 0.91–2.39]], and all-cause mortality [HR 1.23 [95% CI, 0.94–1.61]].Conclusions: This study indicates that changing to a high-FER and low-CER diet over the course of adult life was significantly associated with obesity, diabetes, and all-cause mortality in the Chinese adult population. In addition, low-FER and high-CER were not associated with cardio-metabolic disease and all-cause mortality. These observations may provide insights into nutritional policy and dietary guidelines.

scholarly journals Birth characteristics and all-cause mortality: a sibling analysis using the Uppsala birth cohort multigenerational study

2016 ◽  
Vol 7 (4) ◽  
pp. 374-383 ◽  
Author(s):  
S. Juárez ◽  
A. Goodman ◽  
B. De Stavola ◽  
I. Koupil
Keyword(s):  
Birth Weight ◽  
Cox Regression ◽  
Adult Life ◽  
University Hospital ◽  
First Year ◽  
Maternal Characteristics ◽  
All Cause Mortality ◽  
Early Adult Life ◽  
Birth Characteristics ◽  
First Year Of Life

This paper investigates the association between perinatal health and all-cause mortality for specific age intervals, assessing the contribution of maternal socioeconomic characteristics and the presence of maternal-level confounding. Our study is based on a cohort of 12,564 singletons born between 1915 and 1929 at the Uppsala University Hospital. We fitted Cox regression models to estimate age-varying hazard ratios of all-cause mortality for absolute and relative birth weight and for gestational age. We found that associations with mortality vary by age and according to the measure under scrutiny, with effects being concentrated in infancy, childhood or early adult life. For example, the effect of low birth weight was greatest in the first year of life and then continued up to 44 years of age (HR between 2.82 and 1.51). These associations were confirmed in within-family analyses, which provided no evidence of residual confounding by maternal characteristics. Our findings support the interpretation that policies oriented towards improving population health should invest in birth outcomes and hence in maternal health.

scholarly journals Pre-diagnostic meat and fibre intakes in relation to colorectal cancer survival in the European Prospective Investigation into Cancer and Nutrition

2016 ◽  
Vol 116 (2) ◽  
pp. 316-325 ◽  
Author(s):  
Heather A. Ward ◽  
Teresa Norat ◽  
Kim Overvad ◽  
Christina C. Dahm ◽  
H. Bas Bueno-de-Mesquita ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Survival ◽  
Cox Regression ◽  
Red Meat ◽  
Dietary Guidelines ◽  
Processed Meat ◽  
Limited Evidence ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Prospective Investigation

AbstractImprovements in colorectal cancer (CRC) detection and treatment have led to greater numbers of CRC survivors, for whom there is limited evidence on which to provide dietary guidelines to improve survival outcomes. Higher intake of red and processed meat and lower intake of fibre are associated with greater risk of developing CRC, but there is limited evidence regarding associations with survival after CRC diagnosis. Among 3789 CRC cases in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, pre-diagnostic consumption of red meat, processed meat, poultry and dietary fibre was examined in relation to CRC-specific mortality (n 1008) and all-cause mortality (n 1262) using multivariable Cox regression models, adjusted for CRC risk factors. Pre-diagnostic red meat, processed meat or fibre intakes (defined as quartiles and continuous grams per day) were not associated with CRC-specific or all-cause mortality among CRC survivors; however, a marginal trend across quartiles of processed meat in relation to CRC mortality was detected (P 0·053). Pre-diagnostic poultry intake was inversely associated with all-cause mortality among women (hazard ratio (HR)/20 g/d 0·92; 95 % CI 0·84, 1·00), but not among men (HR 1·00; 95 % CI 0·91, 1·09) (Pfor heterogeneity=0·10). Pre-diagnostic intake of red meat or fibre is not associated with CRC survival in the EPIC cohort. There is suggestive evidence of an association between poultry intake and all-cause mortality among female CRC survivors and between processed meat intake and CRC-specific mortality; however, further research using post-diagnostic dietary data is required to confirm this relationship.

scholarly journals Weight Changes in Type 2 Diabetes and Cancer Risk: A Latent Class Trajectory Model Study

Obesity Facts ◽  
2021 ◽  
pp. 1-10
Author(s):  
Britt W. Jensen ◽  
Charlotte Watson ◽  
Nophar Geifman ◽  
Jennifer L. Baker ◽  
Ellena Badrick ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Regression Models ◽  
Latent Class ◽  
Cox Regression ◽  
Weight Changes ◽  
Model Study ◽  
Hazard Ratios ◽  
Obese Class ◽  
All Cause Mortality

<b><i>Introduction:</i></b> Body mass index (BMI) is often elevated at type 2 diabetes (T2D) diagnosis. Using latent class trajectory modelling (LCTM) of BMI, we examined whether weight loss after diagnosis influenced cancer incidence and all-cause mortality. <b><i>Methods:</i></b> From 1995 to 2010, we identified 7,708 patients with T2D from the Salford Integrated Record database (UK) and linked to the cancer registry for information on obesity-related cancer (ORC), non-ORC; and all-cause mortality. Repeated BMIs were used to construct sex-specific latent class trajectories. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression models. <b><i>Results:</i></b> Four sex-specific BMI classes were identified; stable-overweight, stable-obese, obese-slightly-decreasing, and obese-steeply-decreasing; comprising 41%, 45%, 13%, and 1% of women, and 45%, 37%, 17%, and 1% of men, respectively. In women, the stable-obese class had similar ORC risks as the obese-slightly-decreasing class, whereas the stable-overweight class had lower risks. In men, the obese-slightly-decreasing class had higher risks of ORC (HR = 1.86, 95% CI: 1.05–3.32) than the stable-obese class, while the stable-overweight class had similar risks No associations were observed for non-ORC. Compared to the stable-obese class, women (HR = 1.60, 95% CI: 0.99–2.58) and men (HR = 2.37, 95% CI: 1.66–3.39) in the obese-slightly-decreasing class had elevated mortality. No associations were observed for the stable-overweight classes. <b><i>Conclusion:</i></b> Patients who lost weight after T2D diagnosis had higher risks for ORC (in men) and higher all-cause mortality (both genders) than patients with stable obesity.

Sex differences in transaortic flow rate and association with all-cause mortality in patients with severe aortic stenosis

2021 ◽  
Author(s):  
Sahrai Saeed ◽  
Anastasia Vamvakidou ◽  
Spyridon Zidros ◽  
George Papasozomenos ◽  
Vegard Lysne ◽  
...  
Keyword(s):  
Sex Differences ◽  
Aortic Stenosis ◽  
Flow Rate ◽  
Cox Regression ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
All Cause Mortality

Abstract Aims It is not known whether transaortic flow rate (FR) in aortic stenosis (AS) differs between men and women, and whether the commonly used cut-off of 200 mL/s is prognostic in females. We aimed to explore sex differences in the determinants of FR, and determine the best sex-specific cut-offs for prediction of all-cause mortality. Methods and results Between 2010 and 2017, a total of 1564 symptomatic patients (mean age 76 ± 13 years, 51% men) with severe AS were prospectively included. Mean follow-up was 35 ± 22 months. The prevalence of cardiovascular disease was significantly higher in men than women (63% vs. 42%, P &lt; 0.001). Men had higher left ventricular mass and lower left ventricular ejection fraction compared to women (both P &lt; 0.001). Men were more likely to undergo an aortic valve intervention (AVI) (54% vs. 45%, P = 0.001), while the death rates were similar (42.0% in men and 40.6% in women, P = 0.580). A total of 779 (49.8%) patients underwent an AVI in which 145 (18.6%) died. In a multivariate Cox regression analysis, each 10 mL/s decrease in FR was associated with a 7% increase in hazard ratio (HR) for all-cause mortality (HR 1.07; 95% CI 1.03–1.11, P &lt; 0.001). The best cut-off value of FR for prediction of all-cause mortality was 179 mL/s in women and 209 mL/s in men. Conclusion Transaortic FR was lower in women than men. In the group undergoing AVI, lower FR was associated with increased risk of all-cause mortality, and the optimal cut-off for prediction of all-cause mortality was lower in women than men.

scholarly journals Mortality in patients with atrial fibrillation with or without heart failure following hospital discharge

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kartas ◽  
A Samaras ◽  
D Vasdeki ◽  
G Dividis ◽  
G Fotos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Primary Endpoint ◽  
Cox Regression ◽  
Cross Sectional ◽  
Tertiary Center ◽  
All Cause Mortality ◽  
Endpoint Event ◽  
Secondary Endpoints ◽  
Sectional Analysis

Abstract Background The association of heart failure (HF) with the prognosis of atrial fibrillation (AF) remains unclear. OBJECTIVES To assess all-cause mortality in patients following hospitalization with comorbid AF in relation to the presence of HF. Methods We performed a cross-sectional analysis of data from 977 patients discharged from the cardiology ward of a single tertiary center between 2015 and 2018 and followed for a median of 2 years. The association between HF and the primary endpoint of death from any cause was assessed using multivariable Cox regression. Results HF was documented in 505 (51.7%) of AF cases at discharge, including HFrEF (17.9%), HFmrEF (16.5%) and HFpEF (25.2%). A primary endpoint event occurred in 212 patients (42%) in the AF-HF group and in 86 patients (18.2%) in the AF-no HF group (adjusted hazard ratio [aHR] 2.27; 95% confidence interval [CI], 1.65 to 3.13; P&lt;0.001). HF was associated with a higher risk of the composite secondary endpoint of death from any cause, AF or HF-specific hospitalization (aHR 1.69; 95% CI 1.32 to 2.16 p&lt;0.001). The associations of HF with the primary and secondary endpoints were significant and similar for AF-HFrEF, AF-HFmrEF, AF-HFpEF. Conclusions HF was present in half of the patients discharged from the hospital with comorbid AF. The presence of HF on top of AF was independently associated with a significantly higher risk of all-cause mortality than did absence of HF, irrespective of HF subtype. Funding Acknowledgement Type of funding source: None

Relationships among the Dosage of Erythropoiesis-Stimulating Agents, Erythropoietin Resistance Index, and Mortality in Maintenance Hemodialysis Patients

2021 ◽  
pp. 1-11
Author(s):  
Sai Pan ◽  
De-Long Zhao ◽  
Ping Li ◽  
Xue-Feng Sun ◽  
Jian-Hui Zhou ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Cox Regression ◽  
Resistance Index ◽  
Cox Proportional Hazards Model ◽  
Maintenance Hemodialysis ◽  
Erythropoiesis Stimulating Agents ◽  
All Cause Mortality ◽  
Erythropoietin Resistance Index ◽  
Erythropoietin Resistance

<b><i>Background:</i></b> Erythropoiesis-stimulating agents (ESAs) constitute an important treatment option for anemia in hemodialysis (HD) patients. We investigated the relationships among the dosage of ESA, erythropoietin resistance index (ERI) scores, and mortality in Chinese MHD patients. <b><i>Methods:</i></b> This multicenter observational retrospective study included MHD patients from 16 blood purification centers (<i>n</i> = 824) who underwent HD in 2011–2015 and were followed up until December 31, 2016. We collected demographic variables, HD parameters, laboratory values, and ESA dosages. Patients were grouped into quartiles according to ESA dosage to study the effect of ESA dosage on all-cause mortality. The ERI was calculated as follows: ESA (IU/week)/weight (kg)/hemoglobin levels (g/dL). We also compared outcomes among the patients stratified into quartiles according to ERI scores. We used the Cox proportional hazards model to measure the relationships between the ESA dosage, ERI scores, and all-cause mortality. Using propensity score matching, we compared mortality between groups according to ERI scores, classified as either &#x3e; or ≤12.80. <b><i>Results:</i></b> In total, 824 patients were enrolled in the study; 200 (24.3%) all-cause deaths occurred within the observation period. Kaplan-Meier analyses showed that patients administered high dosages of ESAs had significantly worse survival than those administered low dosages of ESAs. A multivariate Cox regression identified that high dosages of ESAs could significantly predict mortality (ESA dosage &#x3e;10,000.0 IU/week, HR = 1.59, 95% confidence intervals (CIs) (1.04, 2.42), and <i>p</i> = 0.031). Our analysis also indicated a significant increase in the risk of mortality in patients with high ERI scores. Propensity score matching-analyses confirmed that ERI &#x3e; 12.80 could significantly predict mortality (HR = 1.56, 95% CI [1.11, 2.18], and <i>p</i> = 0.010). <b><i>Conclusions:</i></b> Our data suggested that ESA dosages &#x3e;10,000.0 IU/week in the first 3 months constitute an independent predictor of all-cause mortality among Chinese MHD patients. A higher degree of resistance to ESA was related to a higher risk of all-cause mortality.

Rehospitalization as a predictor of mortality in Polish population of heart failure patients-national registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Zaleska-Kociecka ◽  
K Witczak ◽  
K Bartolik ◽  
D Was ◽  
A Kleinork ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cox Regression ◽  
National Registry ◽  
Funding Source ◽  
Polish Population ◽  
The European Union ◽  
Related Factors ◽  
Comorbidity Burden ◽  
All Cause Mortality ◽  
The Impact

Abstract Background High mortality risk in heart failure (HF) is related to repeat HF hospitalizations but also individual patient characteristics. Purpose To evaluate the impact of HF re-/hospitalizations and patient-related factors (sex, HF etiology, age, comorbidity) on all-cause mortality. Methods Our study represents one of the most extensive retrospective cohort analyses consisting of 1,686,861 adult Polish HF patients who presented into public health system in years 2013–2018. It is a part of a nationwide National Health Fund registry covering out- and in-patient data for the entire Polish population (38,495,659 in 2013) since 2009. HF hospitalizations were extracted using ICD-10 coding, whereas the comorbidity was evaluated by means of Charlson Comorbidity Index (CCI). Results In years 2013–2018 the absolute number of HF hospitalizations in Poland grew by 33% to 264,808 in 2018, whereas the number of rehospitalizations increased 1.5-fold to reach 137,708 in 2018. In fact, nearly half of HF patients (n=817,432; 48.5%) experienced at least one hospitalization, while 15.4% (n=259,868) were rehospitalized during the study period. After initial hospitalization the readmission rate due to HF/all circulatory diseases at 30, 60, 180, 360, and 720 days was 10.4%/15.1%, 21.2%/28.3%, 43.9%/52.8%, 62%/70.4%, and 81%/87%, respectively. As compared to patients who were hospitalized just once, those who underwent at least one rehospitalization were more often female (p&lt;0.001), slightly older (p&lt;0.001), and with higher burden of comorbidities based on CCI (p&lt;0.001). Patient survival was highly dependent on hospitalization frequency (Fig. 1). Mean survival rate at day 720 was 66.4%, 59.8%, 54.9%, 51%, and 43.9% for 1st, 2nd, 3rd, 4th, and ≥5th hospitalization, respectively. After adjusting for age, sex, etiology (ischemic/non-ischemic) and CCI using a multivariate stratified Cox regression model, the estimated hazard ratios (HR) for all-cause mortality amounted to 1.22 (95% CI: 1.21–1.23, p&lt;0.001) for 2nd, 1.4 (95% CI: 1.39–1.42, p&lt;0.001) for 3rd, 1.58 (95% CI: 1.56–1.6, p&lt;0.001) for 4th, and 1.97 (95% CI: 1.95–1.98 p&lt;0.001) for 5th and subsequent hospitalizations, as compared to the first hospitalization. Conclusions Hospitalization rate in Poland is alarmingly high. Repeat HF hospitalizations strongly predict mortality rate for HF patients even after adjustment for age, sex, etiology, and comorbidity burden. Figure 1. Kaplan-Meier for survival post hosp. Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): The project is co-financed by the European Union from the European Social Fund under the Operational Programme Knowledge Education Development and it is being carried out by the Analyses and Strategies Department of the Polish Ministry of Health.

scholarly journals Dietary patterns related to total mortality and cancer mortality in the United States

2021 ◽  
Author(s):  
Marcela R. Entwistle ◽  
Donald Schweizer ◽  
Ricardo Cisneros
Keyword(s):  
United States ◽  
Dietary Patterns ◽  
Cancer Mortality ◽  
Cox Regression ◽  
Total Mortality ◽  
Principal Component ◽  
The United States ◽  
Red Meat ◽  
Increased Risk ◽  
All Cause Mortality

Abstract Purpose This study investigated the association between dietary patterns, total mortality, and cancer mortality in the United States. Methods We identified the four major dietary patterns at baseline from 13,466 participants of the NHANES III cohort using principal component analysis (PCA). Dietary patterns were categorized into ‘prudent’ (fruits and vegetables), ‘western’ (red meat, sweets, pastries, oils), ‘traditional’ (red meat, legumes, potatoes, bread), and ‘fish and alcohol’. We estimated hazard ratios for total mortality, and cancer mortality using Cox regression models. Results A total of 4,963 deaths were documented after a mean follow-up of 19.59 years. Higher adherence to the ‘prudent’ pattern was associated with the lowest risk of total mortality (5th vs. 1st quintile HR 0.90, 95% CI 0.82–0.98), with evidence that all-cause mortality decreased as consumption of the pattern increased. No evidence was found that the ‘prudent’ pattern reduced cancer mortality. The ‘western’ and the ‘traditional’ patterns were associated with up to 22% and 16% increased risk for total mortality (5th vs. 1st quintile HR 1.22, 95% CI 1.11–1.34; and 5th vs. 1st quintile HR 1.16, 95% CI 1.06–1.27, respectively), and up to 33% and 15% increased risk for cancer mortality (5th vs. 1st quintile HR 1.33, 95% CI 1.10–1.62; and 5th vs. 1st quintile HR 1.15, 95% CI 1.06–1.24, respectively). The associations between adherence to the ‘fish and alcohol’ pattern and total mortality, and cancer mortality were not statistically significant. Conclusion Higher adherence to the ‘prudent’ diet decreased the risk of all-cause mortality but did not affect cancer mortality. Greater adherence to the ‘western’ and ‘traditional’ diet increased the risk of total mortality and mortality due to cancer.

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

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