Prognostic role of right ventricular and atrial mechanics in systemic sclerosis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A.B Nogradi ◽  
Z Varga ◽  
D Szebenyi ◽  
A Porpaczy ◽  
V Vertes ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Systemic Sclerosis ◽  
Right Ventricular ◽  
Prognostic Value ◽  
Cox Regression ◽  
Independent Predictor ◽  
Peak Velocity ◽  
Volume Index ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract Background Left ventricular diastolic dysfunction implies a worse prognosis in systemic sclerosis (SSc). Little is known, however, about the prognostic value of right ventricular (RV) and right atrial (RA) mechanics in this disease. Thus we aimed to investigate the long term prognostic value of the traditional and modern echocardiographic parameters of the RV and RA function as well as N-terminal pro B-type natriuretic peptide (NT-proBNP) levels in SSc patients. Patients and methods Seventy SSc patients (age: 57±12 years) were enrolled into the study. They underwent echocardiography in the years 2014–15. Parameters of the RV systolic function (tricuspid annular plane systolic excursion /TAPSE/, RV fractional area change /RVFAC/), inferior vena cava, collapsibility index, RV wall thickness were measured. Doppler data were collected: tricuspid E and A, peak velocity of tricuspid regurgitation (TR), tricuspid annular myocardial systolic (S), early- (e') and late- (a') diastolic velocities, tricuspid E/e' ratio. Maximal RA volume index as well as RA reservoir (εR), conduit (εCD) and contractile (εCT) strain were measured with the speckle tracking method. RA stiffness was calculated as ratio of E/e' to εR. Survival was assessed after 5 years. Since in some cases the cause of death was unknown, all-cause mortality was chosen as outcome. Results During the follow-up period of 4.7±0.9 years, 6 patients (8.6%) died. In univariate Cox regression analysis TAPSE, peak velocity of TR, tricuspid annular a' and S, tricuspid E/e' ratio, maximal RA volume index, RA stiffness and lnNT-proBNP were significantly associated with outcome. In multivariate Cox regression analysis RA stiffness was proved to be the only independent predictor of mortality (p=0.013). Using ROC analysis, RA stiffness ≥0.156 was the strongest predictor of the mortality (sensitivity=83.3%, specificity =89.1%, AUC=0.859). Conclusion Our results suggest that RA stiffness is an independent predictor of all-cause mortality in SSc. Larger prospective validation studies are required to prove our findings. ROC and Kaplan-Meier survival curve Funding Acknowledgement Type of funding source: None

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

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.

Abstract 6023: The Need for Blood Transfusion Is an Independent Predictor of Incident Cardiovascular Events and All-Cause Mortality among Patients Undergoing Percutaneous Coronary Intervention

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Jasper Jan Brugts ◽  
Nestor Mercado ◽  
Joachim Ix ◽  
Michael G Shlipak ◽  
Simon R Dixon ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Transfusion ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Independent Predictor ◽  
P Value ◽  
Transfusion Rate ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
All Cause Mortality

Periprocedural bleeding is one of the most frequent complications of percutaneours coronary interventions. We assessed the relation between blood transfusion and all-cause mortality or incident cardiovascular events (death, MI, stroke) among 6103 patients of the Evaluation of Oral Xemilofiban in Controlling Thrombotic Events (EXCITE)-trial. Subjects were followed for 7 months after enrollment for the occurrence of events. Multivariate Cox-regression analysis evaluated the independent association of blood transfusion with each outcome adjusted for age, gender, race, diabetes mellitus, hypertension, hypercholesterolemia, history of MI, PCI, CABG, heart failure, LVEF<30%, use of beta-blockers, statins, ACE-inhibitors, platelet inhibitors and allocation to treatment with xemolifiban. In addition, propensity score analyses were performed (ROC 0.80). Mean age was 59.2 years, 21.7% were female, and 18.9% had diabetes mellitus. Of the169 patients who received blood transfusion, 14 (8.3%) died and 42 (24.9%) experienced a CVD event. Of the 5934 patients without transfusion, 65 (1.1%) died (p-value: <0.001) and 555 (9,4%) experienced a CVD event (p-value: <0.001) In multivariate analysis, blood transfusion was associated with a 5.3 fold increased risk of mortality (HR 5.3; 95% CI 2.8 –10.2), and a 2.5 fold increased risk of incident CVD (HR 2.5; 95% CI 1.7–3.4.) Noteworthy, patients who were US citizens had a higher transfusion rate then non-US citizens (OR 1.45, 95%CI 1.02–2.06) The need of blood transfusion is a strong and independent predictor of all-cause mortality and incident CVD events among patients undergoing PCI.

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.

P4369Direct comparison of prognostic value of echocardiographic parameters of right ventricular dysfunction in normotensive patients with acute pulmonary embolism

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Kurnicka ◽  
M Ciurzynski ◽  
L Hobohm ◽  
A Thielmann ◽  
B Sobkowicz ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Regression Analysis ◽  
Prognostic Value ◽  
Acute Pulmonary Embolism ◽  
Ventricular Dysfunction ◽  
Cox Regression ◽  
Clinical Course ◽  
Right Ventricular Dysfunction ◽  
Cox Regression Analysis ◽  
Echocardiographic Parameters

Abstract Background Although various echocardiographic parameters of right ventricular dysfunction (RVD) were reported to be of prognostic value in normotensive patients with acute pulmonary embolism (APE), an optimal definition of RVD on echocardiography is missing. Purpose We performed a direct comparison of prognostic value of RV/LV ratio, TAPSE, and TRPG/TAPSE for complicated clinical course that included: in-hospital APE related mortality, hemodynamic collapse or rescue thrombolysis. Methods Prospective cohorts of APE patients normotensive at admission, managed according to the ESC Guidelines 2014 were merged in a collaborative database. Transthoracic echocardiography was performed at admission, as soon as possible. All studied parameters were available in each patient. AUC in ROC analysis were assessed for each parameter and were compared between them. Multivariable Cox regression analysis was performed to assess the combination of echo-parameters. Results Overall, 490 pts were included in the study (229F), aged 64±18 years. Clinical endpoint occurred in 31 pts including 8 APE related deaths. AUC for SAE of RV/LV, TAPSE and TRPG/TAPSE were similar (Figure 1). TAPSE <16mm compared to other echo-parameters showed the highest PPV and NPV (Table 1). Cox regression analysis including SBP, HR, age, elevated troponin and echo-parameters showed that only blood pressure, RV/LV >1 and TAPSE <16mm were identified as independent predictors of outcome (HR 0.98 (95% CI: 0.96–0.99), p=0.03; 2,53 (95% CI: 1.2–5.7), p<0.03 and 3,76 (95% CI: 1.74–8.11), p<0.001). Table 1. Predictive values of proposed cut offs of echocardiographic parameters Parameter Sensitivity Specificity PPV NPV TAPSE <16mm 52% 85% 18% 96% RV/LV >1.0 74% 63% 12% 95% TAPSE<20 & TRPG/TAPSE >4.5 10% 94% 10% 94% Figure 1 Conclusions Although all TAPSE, RV/LV ratio and TRPG/TAPSE showed similar performance for prognosticating of in-hospital outcome in normotensive PE patients, TAPSE<16mm showed the highest predictive value for identification of patients at risk of complicated clinical course.

Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients

2019 ◽  
Vol 49 (4) ◽  
pp. 317-327 ◽  
Author(s):  
Julia Matschkal ◽  
Christopher C. Mayer ◽  
Pantelis A. Sarafidis ◽  
Georg Lorenz ◽  
Matthias C. Braunisch ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Cardiovascular Mortality ◽  
Pulse Wave ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background: Mortality in hemodialysis patients still remains unacceptably high. Enhanced arterial stiffness is a known cardiovascular risk factor, and pulse wave velocity (PWV) has proven to be a valid parameter to quantify risk. Recent studies showed controversial results regarding the prognostic significance of PWV for mortality in hemodialysis patients, which may be due to methodological issues, such as assessment of PWV in the office setting (Office-PWV). Method: This study cohort contains patients from the “Risk stratification in end-stage renal disease – the ISAR study,” a multicenter prospective longitudinal observatory cohort study. We examined and compared the predictive value of ambulatory 24-hour PWV (24 h-PWV) and Office-PWV on mortality in a total of 344 hemodialysis patients. The endpoints of the study were all-cause and cardiovascular mortality. Survival analysis included Kaplan-Meier estimates and Cox regression analysis. Results: During a follow-up of 36 months, a total of 89 patients died, 35 patients due to cardiovascular cause. Kaplan-Meier estimates for tertiles of 24 h-PWV and Office-PWV were similarly associated with mortality. In univariate Cox regression analysis, 24 h-PWV and Office-PWV were equivalent predictors for all-cause and cardiovascular mortality. After adjustment for common risk factors, only 24 h-PWV remained solely predictive for all-cause mortality (hazard ratio 2.51 [95% CI 1.31–4.81]; p = 0.004). Conclusions: Comparing both measurements, 24 h-PWV is an independent predictor for all-cause-mortality in hemodialysis patients beyond Office-PWV.

scholarly journals Ultrafiltration rate and diabetes as useful indicators of cardiovascular-related death in hemodialysis patients below 60 years of age

2017 ◽  
Vol 71 (0) ◽  
pp. 0-0
Author(s):  
Marcin Krzanowski ◽  
Katarzyna Krzanowska ◽  
Artur Dziewierz ◽  
Małgorzata Banaszkiewicz ◽  
Artur Jurczyszyn ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Mortality Data ◽  
Cox Regression Analysis ◽  
Time To Death ◽  
All Cause Mortality ◽  
Dm Type 2 ◽  
Related Mortality

Background: The survival rate of elderly hemodialyzed (HD) patients is commonly thought to be poor. In a prospective, single center, non-interventional, observational study, the cause of all-cause and cardiovascular (CV) and heart failure (HF) mortality in this patient group were examined and compared with a younger cohort (below 60 years). Material/Methods: The study included 223 patients (90 women and 133 men) with age ranging from 34.5 to 75.0 years treated with HD. Median duration of HD was 70.0 months (24.0-120.0). Mortality data was collected over a period of six years. We divided patients into groups: <60 (n=123), ≥60 years (n=100), and with (n=33) and without DM type 2 (n=190). Results: During a six-year follow-up, 100 patients (44.8%) died, including 83 (37.2%) patients who died due to CV reasons. Median follow-up was 2015.0 days (946.0-2463.0) with the median time to death of 1166.0 days (654.5-1631.0). The factors negatively affecting patients’ survival in univariate Cox regression analysis included for all-cause mortality were: inter-dialytic weight gain (IDWG) (hazard ratio [HR]=1.60; p=0.01), ultrafiltration (UF) rate (HR=3.63; p=0.012) for group <60 years; for CV death: UF rate (HR=4.20; p=0.03), DM (HR=5.11; p=0.002) for group <60 years; for HF death: mellitus type 2 (DM) (HR=2.93; p=0.027) for group ≥60 years). In a multivariate Cox regression analysis for patients <60 years, the UF rate was the only independent predictor of all-cause mortality (HR 3.63 (1.34-9.67); p=0.011). Both DM (HR 4.91 (1.71-14.10); p=0.003) and UF rate (HR 3.62 (1.04-12.61); p=0.044) were independent predictors of CV-related mortality in patients <60 years. Conclusions: The UF rate can be a simple, useful indicator of higher long-term all-cause and CV mortality in HD patients <60 years of age. Also, DM may be a predictor of CV–related mortality in younger HD patients.

scholarly journals Elevated expression of FGB predicts poor survival in lung adenocarcinoma patients with tobacco exposure

2019 ◽  
Author(s):  
Xu-gang Hu ◽  
De-min Jiao ◽  
You-liang Si ◽  
Jun Chen ◽  
Xia-li Tang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Prognostic Value ◽  
Cox Regression ◽  
Normal Lung ◽  
Tobacco Exposure ◽  
Survival Analyses ◽  
Cox Regression Analysis ◽  
Elevated Expression ◽  
Km Plotter

Abstract Background: Tobacco exposure is the most important risk factor for the occurrence and death of lung cancer. Fibrinogen beta chain (FGB), the most abundant coagulation factor in plasma, is putatively involved in tumor progression. This study aimed to evaluate the expression pattern and prognostic value of FGB in lung adenocarcinoma with tobacco exposure. Methods: FGB expression in lung adenocarcinoma (LUAD) and corresponding normal lung tissues was compared in The Cancer Genome Atlas (TCGA) database. Stratified analysis was conducted to investigate the expression of FGB in LUAD patients with different tobacco exposure. Kaplan-Meier analysis and Cox-regression analysis were performed to evaluate the prognostic significance of FGB. The same survival analyses were conducted in the KM plotter database to validate the prognostic value of FGB. Results: FGB expression was significantly increased in LUAD tissues than in normal tissues (P<0.001). The FGB expression in smoker group was higher than those in non-smoker group (P<0.001). High FGB expression was associated with advanced N stage (P=0.033) and TNM stage (P=0.046). The smoker group possessed higher level of FGB both in LUAD patients without (P=0.003) or (P =0.045) with lymph node metastasis. However, in early TNM stages, the smoker group showed elevated expression of FGB compared with non-smoker group (P=0.0004), and in advanced TNM stages, there was no significant difference between the two groups (P=0.350). In survival analyses, patients with high FGB expression had remarkably worse overall survival (P=0.007) and progression-free survival ((P=0.007) than those with low FGB expression. In smoker group, high level of FGB expression predicted worse OS (P=0.003) and PFS (P=0.029). Cox-regression analysis indicated that FGB was an independent prognostic factor for LUAD patients’ OS (HR= 1.616, P=0.017) and PFS (HR= 1.710, P=0.028). In smoking group, FGB also served as a promising prognostic biomarker for OS (HR= 1.806, P=0.027) and PFS (HR= 2.181, P=0.013). Similar survival curves were generated in the KM plotter cohort. Conclusions: Our study demonstrated that elevated expression of FGB may identify an aggressive subgroup in LUAD with tobacco exposure and serve as an independent prognostic indicator in these patients.

scholarly journals Identification of a Ferroptosis-Related LncRNA Signature as a Novel Prognosis Model for Lung Adenocarcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Lu Lu ◽  
Le-Ping Liu ◽  
Qiang-Qiang Zhao ◽  
Rong Gui ◽  
Qin-Yu Zhao
Keyword(s):  
Regression Analysis ◽  
Prediction Model ◽  
Lung Adenocarcinoma ◽  
Tumor Cells ◽  
Risk Prediction ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Prediction Model ◽  
Functional Enrichment ◽  
Cox Regression Analysis

Lung adenocarcinoma (LUAD) is a highly heterogeneous malignancy, which makes prognosis prediction of LUAD very challenging. Ferroptosis is an iron-dependent cell death mechanism that is important in the survival of tumor cells. Long non-coding RNAs (lncRNAs) are considered to be key regulators of LUAD development and are involved in ferroptosis of tumor cells, and ferroptosis-related lncRNAs have gradually emerged as new targets for LUAD treatment and prognosis. It is essential to determine the prognostic value of ferroptosis-related lncRNAs in LUAD. In this study, we obtained RNA sequencing (RNA-seq) data and corresponding clinical information of LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database and ferroptosis-related lncRNAs by co-expression analysis. The best predictors associated with LUAD prognosis, including C5orf64, LINC01800, LINC00968, LINC01352, PGM5-AS1, LINC02097, DEPDC1-AS1, WWC2-AS2, SATB2-AS1, LINC00628, LINC01537, LMO7DN, were identified by Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis, and the LUAD risk prediction model was successfully constructed. Kaplan-Meier analysis, receiver operating characteristic (ROC) time curve analysis and univariate and multivariate Cox regression analysis and further demonstrated that the model has excellent robustness and predictive ability. Further, based on the risk prediction model, functional enrichment analysis revealed that 12 prognostic indicators involved a variety of cellular functions and signaling pathways, and the immune status was different in the high-risk and low-risk groups. In conclusion, a risk model of 12 ferroptosis related lncRNAs has important prognostic value for LUAD and may be ferroptosis-related therapeutic targets in the clinic.

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

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