scholarly journals Algorithm for assessing the total 10 years risk of death from cardiovascular diseases in women 25-64 years old in Tyumen (Tyumen risk scale)

2021 ◽  
pp. 14-21
Author(s):  
G. S. Pushkarev ◽  
S. T. Matskeplishvili ◽  
V. A. Kuznetsov ◽  
E. V. Akimova
Keyword(s):  
Cardiovascular Risk ◽  
Mortality Rate ◽  
Marital Status ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Cox Regression ◽  
High Density Lipoproteins ◽  
Female Population ◽  
Risk Of Death ◽  
Cardiovascular Mortality Risk

Purpose: To define total 10-year cardiovascular mortality risk in Russian females in dependence on traditional and psychosocial risk factors (RF) and to design the algorithm of its estimation.Methods. The study included non-organized population of Central Administrative district of Tyumen city. Epidemiological study, based on the representative selection of 1000 females aged 25-64 years. Screening respond was 81.3%. Cardiovascular mortality rate within 10 years was studied. Totally, 31 cases of cardiovascular death were registered in female cohort within 10year follow-up. We used a multivariate Cox regression model to estimate hazard ratio (HR) and confidence interval (CI). Relations between mortality rate and factors such as age, smoking, education, occupation, marital status, systolic and diastolic blood pressure (SBP and DBP), body mass index, total cholesterol, cholesterol of low and high density lipoproteins were analyzed.Results. To build a model of total cardiovascular risk, six statistically significant indicators were selected: age (HR – 1.099, 95% CI 1.032-1.1.69), SBP (1.026, 95% CI 1.011-1.041), primary education (4.315, 95% CI 1.878-9.910), work associated with heavy physical labor (4.073, 95% CI 1.324-12.528), executives (3.822, 95% CI 1.386-10.537) and marital status (2.978, 95% CI 1.197-7.409). Based on these data, model for total cardiovascular mortality risk in females was designed with good predictive accuracy (AUC was 0.882, 95% CI – 0.833 – 0.930).Conclusion. Thus, created mathematical model, built based on statistically significant traditional and psychosocial RF, makes it possible to effectively predict the total cardiovascular risk at the individual level in the female population.

scholarly journals Addition of cystatin C predicts cardiovascular death better than creatinine in intensive care

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318860
Author(s):  
Johanna Helmersson-Karlqvist ◽  
Miklos Lipcsey ◽  
Johan Ärnlöv ◽  
Max Bell ◽  
Bo Ravn ◽  
...  
Keyword(s):  
Intensive Care ◽  
Critically Ill ◽  
Cystatin C ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Cardiovascular Death ◽  
University Hospitals ◽  
Cardiovascular Mortality Risk

ObjectiveDecreased kidney function increases cardiovascular risk and predicts poor survival. Estimated glomerular filtration rate (eGFR) by creatinine may theoretically be less accurate in the critically ill. This observational study compares long-term cardiovascular mortality risk by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation; Caucasian, Asian, paediatric and adult cohort (CAPA) cystatin C equation and the CKD-EPI combined creatinine/cystatin C equation.MethodsThe nationwide study includes 22 488 intensive care patients in Uppsala, Karolinska and Lund University Hospitals, Sweden, between 2004 and 2015. Creatinine and cystatin C were analysed with accredited methods at admission. Reclassification and model discrimination with C-statistics was used to compare creatinine and cystatin C for cardiovascular mortality prediction.ResultsDuring 5 years of follow-up, 2960 (13 %) of the patients died of cardiovascular causes. Reduced eGFR was significantly associated with cardiovascular death by all eGFR equations in Cox regression models. In each creatinine-based GFR category, 17%, 19% and 31% reclassified to a lower GFR category by cystatin C. These patients had significantly higher cardiovascular mortality risk, adjusted HR (95% CI), 1.55 (1.38 to 1.74), 1.76 (1.53 to 2.03) and 1.44 (1.11 to 1.86), respectively, compared with patients not reclassified. Harrell’s C-statistic for cardiovascular death for cystatin C, alone or combined with creatinine, was 0.73, significantly higher than for creatinine (0.71), p<0.001.ConclusionsA single cystatin C at admission to the intensive care unit added significant predictive value to creatinine for long-term cardiovascular death risk assessment. Cystatin C, alone or in combination with creatinine, should be used for estimating GFR for long-term risk prediction in critically ill.

scholarly journals Cardiovascular Mortality in Hemodialysis Patients: Clinical and Epidemiological Analysis

2011 ◽  
Vol 30 (4) ◽  
pp. 302-308 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Jasna Trbojević-Stanković ◽  
Nada Majkić-Singh ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Mortality Rate ◽  
Cardiovascular Mortality ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Epidemiological Analysis ◽  
Cox Regression Analysis ◽  
Lv Mass ◽  
Cardiovascular Mortality Risk

Cardiovascular Mortality in Hemodialysis Patients: Clinical and Epidemiological AnalysisCardiovascular diseases are the leading cause of death in hemodialysis (HD) patients. The annual cardiovascular mortality rate in these patients is 9%, with left ventricular (LV) hypertrophy, ischemic heart disease and heart failure being the most prevalent causes of death. The aim of this study was to determine the cardiovascular mortality rate and estimate the influence of risk factors on cardiovascular mortality in HD patients. A total of 115 patients undergoing HD for at least 6 months were investigated. Initially a cross-sectional study was performed, followed by a two-year follow-up study. Beside the standard biochemical parameters, C-reactive protein (CRP), homocysteine, cardiac troponins (cTn) and the echocardiographic parameters of LV morphology and function (LV mass index, LV fractional shortening, LV ejection fraction) were determined. Results were analyzed using Cox regression analysis, Kaplan-Meier and Log-Rank tests. The average one-year cardiovascular mortality rate was 8.51%. Multivariate Cox regression analysis identified increased CRP, cTn T and I, and LV mass index as independent risk factors for cardiovascular mortality. Patients with cTnT > 0.10 ng/mL and CRP > 10 mg/L had significantly higher cardiovascular mortality risk (p < 0.01) than patients with cTnT > 0.10 ng/mL and CRP ≤ 10 mg/L and those with cTnT ≤ 0.10 ng/mL and CRP ≤ 10 mg/L (p < 0.01). HD patients with high cTnT and CRP have a higher cardiovascular mortality risk.

scholarly journals Leisure-Time Running Reduces All-Cause and Cardiovascular Mortality Risk

2014 ◽  
Vol 64 (5) ◽  
pp. 472-481 ◽  
Author(s):  
Duck-chul Lee ◽  
Russell R. Pate ◽  
Carl J. Lavie ◽  
Xuemei Sui ◽  
Timothy S. Church ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Leisure Time ◽  
Cardiovascular Mortality Risk

scholarly journals Relationship between Cardiovascular Disease Risk and Neck Circumference Shown in the Systematic Coronary Risk Estimation (SCORE) Risk Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10763
Author(s):  
Serkan Asil ◽  
Ender Murat ◽  
Hatice Taşkan ◽  
Veysel Özgür Barış ◽  
Suat Görmel ◽  
...  
Keyword(s):  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Risk Model ◽  
Disease Risk ◽  
Neck Circumference ◽  
Anthropometric Measurements ◽  
Cvd Risk ◽  
Cardiovascular Mortality Risk ◽  
Very High ◽  
Score Risk

Introduction: The most important way to reduce CVD-related mortality is to apply appropriate treatment according to the risk status of the patients. For this purpose, the SCORE risk model is used in Europe. In addition to these risk models, some anthropometric measurements are known to be associated with CVD risk and risk factors. Objectives: This study aimed to investigate the association of these anthropometric measurements, especially neck circumference (NC), with the SCORE risk chart. Methods: This was planned as a cross-sectional study. The study population were classified according to their SCORE risk values. The relationship of NC and other anthropometric measurements with the total cardiovascular risk indicated by the SCORE risk was investigated. Results: A total of 232 patients were included in the study. The patients participating in the study were analysed in four groups according to the SCORE ten-year total cardiovascular mortality risk. As a result, the NC was statistically significantly lower among the SCORE low and moderate risk group than all other SCORE risk groups (low-high and very high 36(3)–38(4) (IQR) p: 0.026, 36(3)–39(4) (IQR) p < 0.001, 36(3)–40(4) (IQR) p < 0.001), (moderate-high and very high 38(4) vs. 39(4) (IQR) p: 0.02, 38(4) vs. 40(4) (IQR) p < 0.001, 39(4) vs. 40(4) (IQR) p > 0.05). NC was found to have the strongest correlation with SCORE than the other anthropometric measurements. Conclusions: Neck circumference correlates strongly with the SCORE risk model which shows the ten-year cardiovascular mortality risk and can be used in clinical practice to predict CVD risk.

scholarly journals Cardiovascular Mortality Risk in Chronic Kidney Disease

JAMA ◽  
2005 ◽  
Vol 293 (14) ◽  
pp. 1737 ◽  
Author(s):  
Michael G. Shlipak ◽  
Linda F. Fried ◽  
Mary Cushman ◽  
Teri A. Manolio ◽  
Do Peterson ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Cardiovascular Mortality Risk

scholarly journals The Prognostic Value of Family History for the Estimation of Cardiovascular Mortality Risk in Men: Results from a Long-Term Cohort Study in Lithuania

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0143839 ◽  
Author(s):  
Abdonas Tamosiunas ◽  
Ricardas Radisauskas ◽  
Jurate Klumbiene ◽  
Gailute Bernotiene ◽  
Janina Petkeviciene ◽  
...  
Keyword(s):  
Cohort Study ◽  
Family History ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Prognostic Value ◽  
Cardiovascular Mortality Risk

Mortality after proximal hip fracture in the Singapore population

2005 ◽  
Vol 15 (3) ◽  
pp. 166-170 ◽  
Author(s):  
K.H. Lin ◽  
Y.W. Lim ◽  
Y.J. Wu ◽  
K.S. Lam
Keyword(s):  
Hip Fracture ◽  
Mortality Risk ◽  
Cox Regression ◽  
Regional Hospital ◽  
Age Group ◽  
Risk Of Death ◽  
The Past ◽  
The Mean ◽  
One Year

The aims were to prospectively assess the mortality risk following proximal hip fractures, identify factors predictive of increased mortality and to investigate the time trends in mortality with comparison to previous studies. Prospectively collected data from 68 consecutive patients who had been admitted to a regional hospital from May 2001 to September 2001 were reviewed. The mean age of the patients was 79.3 years old (range, 55–98) and 72.1% females. Patients were followed prospectively to determine the mortality risk associated with hip fracture over a two-year follow-up period. The acute in-hospital mortality rate at six months, one year and two years was 5.9% (4/68), 14.7% (10/68), 20.6% (14/68) and 25% (17/68) respectively. One-year and two-year mortality for those patients who were 80 or older was significantly higher than for other patients and the number of co-morbid illnesses also had significant effect. Cox regression was performed to determine the significant predictors for survival time. It was noted that patients 80 years or older were at higher risk of death compared with those less than 80 years as well as those with higher number of co-morbid illnesses. Our mortality rates have not declined in the past 10 years when compared with previous local studies. We conclude that for this group of patients studied, their mortality at one year and two years could be predicted by their age group and their number of co-morbid illnesses.

Cardiovascular Mortality Risk in the Malaysian Cohort Study

2020 ◽  
Vol 229 ◽  
pp. 171
Author(s):  
Noraidatulakma Abdullah ◽  
Nor Azian Abdul Murad ◽  
Raihannah Othman ◽  
Azwa Shazwani Kamalul Arifin ◽  
Mohd Raziff Alias ◽  
...  
Keyword(s):  
Cohort Study ◽  
Mortality Risk ◽  
Cardiovascular Mortality ◽  
Cardiovascular Mortality Risk
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