430Non-invasive estimation of right atrial pressure by IVC measurement differently predicts long-term prognoses in acute heart failure patients with reduced and preserved LVEF

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Saito ◽  
K Jujo ◽  
T Abe ◽  
M Kametani ◽  
K Arai ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Mortality Rate ◽  
Acute Heart Failure ◽  
Cox Regression ◽  
Left Ventricular ◽  
Right Atrial ◽  
Cox Regression Analysis ◽  
Non Invasive ◽  
Kaplan Meier

Abstract Introduction Inferior vena cava (IVC) measurement by bed-side echocardiography is a non-invasive, reproducible and feasible estimation of right atrial pressure (RAP). However, the effect of left ventricular systolic functions on the clinical efficacy of estimation of RAP using IVC parameters in hospitalized patients with acute heart failure (AHF) has not been fully discussed. Purpose We aimed to investigate the prognostic impact of RAP evaluation by IVC measurement in AHF patients, focusing on left ventricular ejection fraction (LVEF). Methods This observational study initially included 1,350 consecutive patients who were urgently hospitalized due to AHF. After the exclusion of patients receiving hemodialysis, those died in hospital, and those without full information of echocardiography during the index hospitalization, 507 patients with reduced (<40%; HFrEF) and 482 patients with preserved (≥40%; HFpEF) LVEF who discharged alive were respectively analyzed. In accordance with ESC guidelines, HFrEF and HFpEF patients were respectively divided into three groups depending on maximum IVC diameter and collapse; Normal-RAP group (IVC diameter ≤2.1cm and collapse >50%), High-RAP group (IVC diameter >2.1cm and collapse <50%), and Intermediate-RAP group (others). The endpoints of this study were cardiovascular (CV) death after the discharge, and hospitalization due to heart failure recurrence (HHF). Results During the observation period, 70 HFrEF patients (13.8%) and 51 HFpEF patients (10.5%) died by CV cause, and 223 HFrEF patients (43.9%) and 158 HFpEF patients (32.8%) were rehospitalized due to HF. In HFrEF patients, Kaplan-Meier analysis showed a low CV mortality rate only in the Normal-RAP group (Log-rank trend: P=0.001, Figure), but no significant difference in HHF rate among RAP groups (p=0.35, Figure). In multivariate Cox regression analysis, RAP classification was an independent predictor of CV mortality in HFrEF patients (adjusted hazard ratio (AHR) 1.90 [95% confidence interval (CI) 1.12–3.21)), even after the adjustment of diverse covariants. On the other hand, in HFpEF patients, Kaplan-Meier analysis showed the high mortality rate and HHF rate only in the High-RAP group (Log-rank trend: both p<0.001, Figure). Multivariate Cox regression analysis revealed that RAP classification independently predicted both prognoses (CV mortality: AHR 2.23 [95% CI 1.10–4.52]; HHF: AHR 1.34 [95% CI 1.03–1.74]) in HFpEF patients. Figure 1 Conclusion Non-invasive and easy classification of AHF patients by maximum IVC size and collapse may predict CV mortality after the discharge in HFrEF and HFpEF; while, it failed in HHF of HFrEF patients.

scholarly journals H2FPEF score predicts 1-year rehospitalisation of patients with heart failure with preserved ejection fraction

2020 ◽  
pp. postgradmedj-2019-137434
Author(s):  
Yifei Tao ◽  
Wenjing Wang ◽  
Jing Zhu ◽  
Tao You ◽  
Yi Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Ejection Fraction ◽  
Cox Regression ◽  
Area Under The Curve ◽  
Support Vector ◽  
Preserved Ejection Fraction ◽  
Cox Regression Analysis ◽  
Non Invasive ◽  
Patients With Heart Failure

BackgroundHeart failure with preserved ejection fraction (HFpEF) has received widespread attention in recent years. There is currently a lack of valuable predictors for the prognosis of this disease. Here, we aimed to identify a non-invasive scoring system that can effectively predict 1-year rehospitalisation for patients with HFpEF.MethodsWe included 151 consecutive patients with HFpEF in a prospective cohort study and investigated the association between H2FPEF score and 1-year readmission for heart failure using multivariate Cox regression analysis.ResultsOur findings indicated that obesity, age >70 years, treatment with ≥2 antihypertensives, echocardiographic E/e’ ratio >9 and pulmonary artery pressure >35 mm Hg were independent predictors of 1-year readmission. Three models (support vector machine, decision tree in R and Cox regression analysis) proved that H2FPEF score could effectively predict 1-year readmission for patients with HFpEF (area under the curve, 0.910, 0.899 and 0.771, respectively; p<0.001).ConclusionOur study demonstrates that the H2FPEF score has excellent predictive value for 1-year rehospitalisation of patients with HFpEF.

Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure

2020 ◽  
Vol 14 (18) ◽  
pp. 1733-1745
Author(s):  
Tian-Jun Zhao ◽  
Qian-Kun Yang ◽  
Chun-Yu Tan ◽  
Li-Dan Bi ◽  
Jie Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Clinical Value ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
D Dimer

Aim: To evaluate the clinical value of plasma D-dimer/fibrinogen ratio (DFR) in patients hospitalized for heart failure (HF). Methods: Clinical data of 235 patients were retrospectively analyzed. Kaplan–Meier method and Cox regression analysis were used to identify significant prognosticators. Results: The Kaplan–Meier analysis showed that a higher DFR level was significantly associated with an increase in the end point outcomes, including HF readmission, thrombotic events and death (log-rank test: p < 0.001). The multivariate Cox regression analysis showed that the high tertile of DFR was significantly associated with the study end points (HR: 2.18; 95% CI: 1.31–3.62; p = 0.003), compared with the low tertile. Conclusion: DFR is a reliable prognostic indicator for patients hospitalized for HF.

scholarly journals P1787 Pharmacologic stress test: still an important prognostic factor? a follow-up study

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
V Ferreira ◽  
L Moura Branco ◽  
A Galrinho ◽  
P Rio ◽  
S Aguiar Rosa ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Stress Test ◽  
Bypass Graft ◽  
Dobutamine Stress ◽  
Left Ventricular ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Abstract Introduction Dobutamine stress echocardiography (DSE) is an established exam for evaluation of extent and severity of coronary artery disease. Purpose To analyse the results and complications of DSE and identify prognostic predictors in patients (P) who underwent DSE for myocardial ischemia detection. Methods 220P who underwent consecutive DSE from 2013 to 2017. P with significant valvular disease were excluded. Clinical data, echocardiographic parameters and data from follow up (FU) regarding all-cause mortality and MACEs were analysed. Mean age 64.8 ± 12.0 years(Y), 143 men (65%). Results 88P (40%) had positive, 102 had negative and 30 had inconclusive DSE; complications rate of 15%. Prevalence of hypertension, diabetes mellitus (DM), dyslipidemia, prior MI, percutaneous coronary interventionc (PCI), coronary arterial bypass graft (CABG) and HF was 82.7%, 42.3%, 67.7%, 35.9%, 31.8%, 10.9% and 9.5%, respectively. Mean left ventricular endsystolic (LVSD) and enddiastolic dimensions were 33.7 ± 8.9 and 52.8 ± 7.1 mm. Mean resting wall motion score index (rWMSI) and peak (pWMSI) were 1.16 ± 0.28 and 1.24 ± 0.34. Mean resting GLS (rGLS) and peak GLS (pGLS) were -16.3 ± 4.3 and -16.6 ± 4.3. Mean no. of ischemic segments was 1.7 ± 2.4 and 16.8% had ischemia &gt;3 segments. There was ischemia in left anterior descending (LAD) coronary in 53P and in circumflex and right coronary territories in 18 and 68P. 22.6% had more than one ischemic territory. 43P (49.4%) underwent intervention, 38 with PCI and 5 with CABG. During a mean FU of 38.8 ± 16.8 months, 47 MACEs were observed, including 32 deaths (14.5%). Positive DSE (p = 0.012), no. of ischemic segments (p = 0.019), ischemia in the LAD (p = 0.003), rGLS (p = 0.038) and pGLS (p = 0.038) were related to the occurrence of MACEs. In Cox regression analysis, age (p = 0.005), DM (p = 0.005), HF (p = 0.006), prior CABG (p = 0.015), LVSD (p = 0.026), rWMSI (p = 0.029), pWMSI (p = 0.013) and pGLS (p = 0.038) were associated with increased all-cause mortality. Kaplan–Meier survival analysis showed that survival was significantly worse for ischemia &gt; 3 segments (log rank 0.005), ischemia of more than one territory (log rank 0.025) and pWMSI &gt;1.5 (log rank &lt; 0.0005). With multivariate Cox regression analysis, age &gt;65Y (HR 4.22, p = 0.004), DM (HR 2.49,p = 0.038) and pWMSI &gt; 1.5 (HR 9.73,p = 0.007) were independently associated with all-cause mortality. Conclusion In patients who underwent DSE there were some baseline and DSE-related independent predictors of long-term prognosis: age, DM and peak WMSI. Abstract P1787 Figure. Kaplan–Meier curves

P2527Accumulative impact of poor nutrition and frailty on 1-year mortality among acute decompensated heart failure patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Sumi ◽  
M Oguri ◽  
K Takahara ◽  
N Umemoto ◽  
K Shimizu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Cox Regression Analysis ◽  
Frailty Status ◽  
Kaplan Meier ◽  
Poor Nutrition

Abstract Background Several studies have proved that both poor nutrition (PN) and Frail are associated with poor prognosis among heart failure patients. However, it has not been fully revealed whether PN and frail could have impact on prognosis accumulatively. Purpose The purpose of the present study was to evaluate the impact of nutritional and Frailty status on 1-year mortality among hospitalized patients with acute decompensated heart failure (ADHF). Methods Study subjects comprised of 315 hospitalized patients with ADHF. To evaluate the nutritional and Frailty status, we calculated the controlling nutritional status (CONUT) score and the Study of Osteoporotic Fractures (SOF) index at hospital admission. PN and Frailty were defined as the CONUT score ≥5 and SOF index ≥2, respectively. Results z Sixty-nine subjects (21.9%) were died within 1-year. PN and Frailty were observed in 33.3% and 55.6% of study subjects, respectively. Both PN and Frailty were similarly related to the 1-year mortality by univariate cox regression analysis (Hazard Ratio (HR) 2.43, 95% confidence interval (CI) 1.51–3.91, p=0.0003: HR 3.13, 95% CI 1.83–5.66, p<0.0001, respectively). Study subjects were classified into 4 groups according to the nutritional and frailty status: control (normal nutrition without Frailty, n=110), PN alone (PN without Frailty, n=30), Frailty alone (Frailty without PN, n=100), and PN + Frailty (PN with Frailty, n=75). The Kaplan-Meier event curves for 1-year all-cause mortality illustrated that subjects with PN + Frailty had a significantly higher mortality than in subjects with control, PN alone and Frailty alone (log rank p=0.0001, 0.0180, 0.0070, respectively). As well as, cox regression analysis revealed that PN + Frailty showed significantly higher mortality than control, PN alone and Frailty alone. (HR 5.33, 95% CI 2.75–11.1, p<0.0001: HR 2.99, 95% CI 1.26–8.78, p=0.011: HR 2.07, 95% CI 1.21–3.61, p=0.008, respectively). Moreover, multivariate cox regression analysis also revealed that PN with Frailty was independently associated with 1-year mortality even after adjustment for age, body mass index, systolic blood pressure, and chronic kidney disease. (HR 3.40, 95% CI 1.69–7.32, adjusted p<0.001) Kaplan-Meier curve for 1year mortality Conclusions The combination assessment consisted with nutrition and frailty could identify poor prognosis patients with ADHF.

scholarly journals Thigh intramuscular fat predicts the prognosis in patients in non-ischemic cardiomyopathy with reduced ejection fraction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Yoshida ◽  
A Shibata ◽  
A Tanihata ◽  
H Hayashi ◽  
Y Ichikawa ◽  
...  
Keyword(s):  
Adverse Events ◽  
Ischemic Cardiomyopathy ◽  
Cox Regression ◽  
Intramuscular Fat ◽  
Left Ventricular ◽  
Skeletal Muscle Atrophy ◽  
Measured Quantity ◽  
Ectopic Fat ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Abstract Background Skeletal muscle atrophy is an independent prognostic predictor for patients with chronic heart failure, and the concept of sarcopenia is drawing attention. Furthermore, the importance of not only muscle mass but also intramuscular fat (IMF) has been pointed out. However, there is a lack of consensus on the implications of ectopic fat for the prognosis in patients with non-ischemic cardiomyopathy. Purpose We investigated whether ectopic fat in the thigh affects the prognosis with non-ischemic cardiomyopathy. Methods We recruited 105 patients who were diagnosed with non-ischemic cardiomyopathy by cardiac catheterization and echocardiographic date between September 2017 and November 2019. Finally 73 patients with reduced EF (EF 40% or less) enrolled in this prospective study. Functional status was evaluated by using cardiopulmonary exercise test at baseline. All patients were measured quantity of epicardial fat and thigh IMF percentage (%IMF) using computed tomography scan. Demographic, laboratory and echocardiographic date were collected from the patients' medical records. Clinical endpoints were unexpected readmission. Results During the follow-up period 18 patients had adverse events. The %IMF was significantly higher in the group with adverse events than without (5.57±5.70 and 3.02±2.44%, respectively; p&lt;0.01). Spearman correlation coefficient analysis showed a modest correlation between %IMF and lower limb extension strength (Spearman r=−0.280; p=0.0315), but there was no significant correlation between %IMF and exercise tolerance such as anaerobic threshold and peak oxygen uptake. Patients were divided into 2 groups according to the median values of %IMF. Kaplan-Meier analysis demonstrated that events were significantly higher in the high %IMF group (log-rank p=0.033). Multivariate Cox regression analysis adjusted for left ventricular end-diastolic diameter and peak ventricular oxygen consumption found %IMF as an independent factor of adverse events (hazard ratio 1.545; 95% confidential interval 1.151–2.087; p=0.004). Conclusions In non-ischemic cardiomyopathy patients with reduced EF, %IMF may have important adverse consequences such as increased cardiac-related events. Kaplan-Meier curves Funding Acknowledgement Type of funding source: None

Right ventricular rather than left ventricular systolic dysfunction predicts outcome in patients undergoing transcatheter aortic valve implantation: insights from cardiac magnetic resonance imaging

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Koschutnik ◽  
C Nitsche ◽  
C Dona ◽  
V Dannenberg ◽  
A.A Kammerlander ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cox Regression ◽  
Systolic Dysfunction ◽  
Left Ventricular ◽  
Prognostic Information ◽  
Transcatheter Aortic Valve ◽  
Kaplan Meier ◽  
Lv Volumes ◽  
Valve Implantation ◽  
Rv Function

Abstract Background Right ventricular (RV) function is strongly associated with outcome in heart failure. Whether it also adds important prognostic information in patients undergoing transcatheter aortic valve implantation (TAVI) is unknown. Methods We consecutively enrolled patients with severe aortic stenosis (AS) scheduled for TAVI and preprocedural cardiac magnetic resonance (CMR) imaging. Kaplan-Meier estimates and multivariate Cox regression analyses were used to identify factors associated with outcome. A composite of heart failure hospitalization and/or cardiovascular death was selected as primary study endpoint. Results 423 consecutive patients (80.7±7.3 years; 48% female) were prospectively included, 201 (48%) underwent CMR imaging. 55 (27%) patients presented with RV systolic dysfunction (RVSD) defined by RV ejection fraction (RVEF) &lt;45%. RVSD was associated with male sex (69 vs. 40%; p&lt;0.001), New York Heart Association (NYHA) functional status (NYHA ≥ III: 89 vs. 57%; p&lt;0.001), NT-proBNP serum levels (9365 vs. 2715 pg/mL; p&lt;0.001), and history of atrial fibrillation (AF: 51 vs. 30%; p=0.005). On CMR, RVSD was associated with left ventricular (LV) volumes (end-diastolic: 187 vs. 137 mL, end-systolic: 119 vs. 53 mL; p&lt;0.001) and EF (39 vs. 64%; p&lt;0.001). A total of 51 events (37 deaths, 14 hospitalizations for heart failure) occurred during follow-up (9.8±9 months). While LVSD (LVEF &lt;50%) was not significantly associated with outcome (HR 0.83, 95% CI: 0.33 – 2.11; p=0.694), RVSD showed a strong and independent association with event-free survival by multivariate Cox regression analysis (HR 2.47, 95% CI: 1.07–5.73; p=0.035), which was adjusted for all relevant CMR parameters (LV volumes and EF), cardiovascular risk factors (sex, NYHA, AF, diabetes mellitus type II, use of diuretics), and routine biomarkers (NT-proBNP, creatinine). Conclusions RVSD rather than LVSD, as determined on CMR, is an important predictor of outcome in patients undergoing TAVI. RV function might thus add useful prognostic information on top of established risk factors. Figure 1. Kaplan-Meier survival curves Funding Acknowledgement Type of funding source: None

scholarly journals Evaluation of different late left ventricular remodeling definitions for predicting long-term outcomes in acute myocardial infarction patients undergoing percutaneous coronary intervention

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Zhang ◽  
X Xie ◽  
C He ◽  
X Lin ◽  
M Luo ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ventricular Remodeling ◽  
Cox Regression ◽  
Left Ventricular Remodeling ◽  
Left Ventricular ◽  
Long Term Outcomes ◽  
Cox Regression Analysis ◽  
Long Term Mortality

Abstract Background Late left ventricular remodeling (LLVR) after the index acute myocardial infarction (AMI) is a common complication, and is associated with poor outcome. However, the optimal definition of LLVR has been debated because of its different incidence and influence on prognosis. At present, there are limited data regarding the influence of different LLVR definitions on long-term outcomes in AMI patients undergoing percutaneous coronary intervention (PCI). Purpose To explore the impact of different definitions of LLVR on long-term mortality, re-hospitalization or an urgent visit for heart failure, and identify which definition was more suitable for predicting long-term outcomes in AMI patients undergoing PCI. Methods We prospectively observed 460 consenting first-time AMI patients undergoing PCI from January 2012 to December 2018. LLVR was defined as a ≥20% increase in left ventricular end-diastolic volume (LVEDV), or a &gt;15% increase in left ventricular end-systolic volume (LVESV) from the initial presentation to the 3–12 months follow-up, or left ventricular ejection fraction (LVEF) &lt;50% at follow up. These parameters of the cardiac structure and function were measuring through the thoracic echocardiography. The association of LLVR with long-term prognosis was investigated by Cox regression analysis. Results The incidence rate of LLVR was 38.1% (n=171). The occurrence of LLVR according to LVESV, LVEDV and LVEF definition were 26.6% (n=117), 31.9% (n=142) and 11.5% (n=51), respectively. During a median follow-up of 2 years, after adjusting other potential risk factors, multivariable Cox regression analysis revealed LLVR of LVESV definition [hazard ratio (HR): 2.50, 95% confidence interval (CI): 1.19–5.22, P=0.015], LLVR of LVEF definition (HR: 16.46, 95% CI: 6.96–38.92, P&lt;0.001) and LLVR of Mix definition (HR: 5.86, 95% CI: 2.45–14.04, P&lt;0.001) were risk factors for long-term mortality, re-hospitalization or an urgent visit for heart failure. But only LLVR of LVEF definition was a risk predictor for long-term mortality (HR: 6.84, 95% CI: 1.98–23.65, P=0.002). Conclusions LLVR defined by LVESV or LVEF may be more suitable for predicting long-term mortality, re-hospitalization or an urgent visit for heart failure in AMI patients undergoing PCI. However, only LLVR defined by LVEF could be used for predicting long-term mortality. FUNDunding Acknowledgement Type of funding sources: None. Association Between LLVR and outcomes Kaplan-Meier Estimates of the Mortality

scholarly journals Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianye Tan ◽  
Haofeng Liang ◽  
Bingsheng Yang ◽  
Shuang Zhu ◽  
Guofeng Wu ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Survival Rates ◽  
Prognostic Biomarkers ◽  
Messenger Rnas ◽  
Hub Genes ◽  
Cox Regression Analysis ◽  
Expression Levels ◽  
Kaplan Meier ◽  
Before And After

Osteosarcoma (OS) often occurs in children and often undergoes metastasis, resulting in lower survival rates. Information on the complexity and pathogenic mechanism of OS is limited, and thus, the development of treatments involving alternative molecular and genetic targets is hampered. We categorized transcriptome data into metastasis and nonmetastasis groups, and 400 differential RNAs (230 messenger RNAs (mRNAs) and 170 long noncoding RNAs (lncRNAs)) were obtained by the edgeR package. Prognostic genes were identified by performing univariate Cox regression analysis and the Kaplan–Meier (KM) survival analysis. We then examined the correlation between the expression level of prognostic lncRNAs and mRNAs. Furthermore, microRNAs (miRNAs) corresponding to the coexpression of lncRNA-mRNA was predicted, which was used to construct a competitive endogenous RNA (ceRNA) regulatory network. Finally, multivariate Cox proportional risk regression analysis was used to identify hub prognostic genes. Three hub prognostic genes (ABCG8, LOXL4, and PDE1B) were identified as potential prognostic biomarkers and therapeutic targets for OS. Furthermore, transcriptions factors (TFs) (DBP, ESX1, FOS, FOXI1, MEF2C, NFE2, and OTX2) and lncRNAs (RP11-357H14.16, RP11-284N8.3, and RP11-629G13.1) that were able to affect the expression levels of genes before and after transcription were found to regulate the prognostic hub genes. In addition, we identified drugs related to the prognostic hub genes, which may have potential clinical applications. Immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) confirmed that the expression levels of ABCG8, LOXL4, and PDE1B coincided with the results of bioinformatics analysis. Moreover, the relationship between the hub prognostic gene expression and patient prognosis was also validated. Our study elucidated the roles of three novel prognostic biomarkers in the pathogenesis of OS as well as presenting a potential clinical treatment for OS.

Predictive Value of Atrial Electromechanical Delay on Long-Term Cardiovascular Outcomes in Hemodialysis Patients

2015 ◽  
Vol 42 (3) ◽  
pp. 239-249 ◽  
Author(s):  
Kultigin Turkmen ◽  
Levent Demirtas ◽  
Ergun Topal ◽  
Abduzhappar Gaipov ◽  
Ismail Kocyigit ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Total Cholesterol ◽  
Cox Regression ◽  
Healthy Individuals ◽  
Electromechanical Delay ◽  
Cox Regression Analysis ◽  
Atrial Electromechanical Delay ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Spearman Test

Background: Atrial electromechanical delay (AEMD) times were considered independent predictors of cardiovascular morbidity among the general population. We aimed at evaluating AEMD times and other risk factors associated with 2-year combined cardiovascular (CV) events in HD patients. Material and Methods: Sixty hemodialysis (HD) and 44 healthy individuals were enrolled in this prospective study. Echocardiography was performed before the mid-week dialysis session for HD patients. Data were expressed as mean ± SD. Spearman test was used to assess linear associations. Survival was examined with the Kaplan-Meier method. Multivariate Cox regression analysis was used to determine the predictors of combined CV events in this cohort. Results: At the beginning of the study, left intra-atrial-AEMD times were significantly longer in HD patients compared to the left intra-atrial-AEMD times in healthy individuals. After 24 months, 41 patients were still on HD treatment and 19 (31.6%) had died. Serum triglyceride, total cholesterol and albumin were found to be higher and C-reactive protein (CRP) levels, left intra-atrial EMD time (LIAT) and interatrial EMD times were found to be lower in survived HD patients. With the cut-off median values of 3.5 g/dl for albumin, 0.87 mg/dl for CRP, 157 mg/dl for total cholesterol and 151 mg/dl for triglyceride, the Kaplan-Meier curves demonstrated significant differences in terms of all-cause mortality. We also demonstrated the Kaplan-Meier survival curves of HD patients according to tertile values of LIAT. Cox regression analysis revealed that increased CRP and higher LIAT were found to be independent predictors of combined CV events. Conclusions: Increased LIAT and inflammation were found to be closely associated with 2 years combined CV events and all-cause mortality in HD patients.

P1885Cha2ds-2vasc score lacks of ability to predict mortality in patients attending the emergency department with atrial fibrillation in the presence of troponin i

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M I Gonzalez Del Hoyo ◽  
G Cediel ◽  
A Carrasquer ◽  
G Bonet ◽  
K Vasquez-Nunez ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Emergency Department ◽  
Regression Analysis ◽  
Troponin I ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract Background CHA2DS2-VASc score has been used as a surrogate marker for predicting outcomes beyond thromboembolic risk in patients with atrial fibrillation (AF). Likewise, cardiac troponin I (cTnI) is a predictor of mortality in AF. Purpose This study aimed to investigate the association of cTnI and CHA2DS2-VASc score with long-term prognosis in patients admitted to the emergency department with AF. Methods A retrospective cohort study conducted between January 2012 and December 2013, enrolling patients admitted to the emergency department with AF and having documented cTnI measurements. CHA2DS2-VASc score was estimated. Primary endpoint was 5-year all-cause mortality, readmission for heart failure (HF), readmission for myocardial infarction (MI) and the composite end point of major adverse cardiac events defined as death, readmission for HF or readmission for MI (MACE). Results A total of 578 patients with AF were studied, of whom 252 patients had elevated levels of cTnI (43.6%) and 334 patients had CHA2DS2-VASc score >3 (57.8%). Patients with elevated cTnI tended to be oldercompared with those who did not have cTnI elevation and were more frequently comorbid and of higher ischemic risk, including hypertension, prior MI, prior HF, chronic renal failure and peripheral artery disease. The overall median CHA2DS2-VASc score was higher in those with cTnI elevation compared to those patients elevated cTnI levels (4.2 vs 3.3 points, p<0.001). Main diagnoses at hospital discharge were tachyarrhythmia 30.3%, followed by heart failure 17.7%, respiratory infections 9.5% and acute coronary syndrome 7.3%. At 5-year follow-up, all-cause death was significantly higher for patients with cTnI elevation compared with those who did not have cTnI elevation (56.4% vs. 27%; logrank test p<0.001). Specifically, for readmissions for HF and readmissions for MI there were no differences in between patients with or without cTnI elevation. In addition, MACE was reached in 165 patients (65.5%) with cTnI elevation, compare to 126 patients (38.7%) without cTnI elevation (p<0.001). On multivariable Cox regression analysis, cTnI elevation was an independent predictor of all-cause death (hazard ratio, 1.67, 95% confidence interval [CI]: 1.24–2.26, p=0.001) and of MACE (hazard ratio 1.47, 95% confidence interval 1.15–1.88; P=0.002), but it did not reach statistical significance for readmissions for MI and readmissions for HF. CHA2DS2-VASc score was a predictor on univariate Cox regression analysis for each endpoint, but it did not reach significance on multivariable Cox regression analysis for any endpoint. Conclusions cTnI is independently associated with long-term all-cause mortality in patients attending the emergency department with AF. cTnI compared to CHA2DS2-VASc score is thus a biomarker with predictive capacity for mortality in late follow-up, conferring utility in the risk stratification of patients with atrial fibrillation.

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