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 >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 > 3 segments (log rank 0.005), ischemia of more than one territory (log rank 0.025) and pWMSI >1.5 (log rank < 0.0005). With multivariate Cox regression analysis, age >65Y (HR 4.22, p = 0.004), DM (HR 2.49,p = 0.038) and pWMSI > 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

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.

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 Evaluation of pulse wave velocity for predicting major advanced cardiovascular events in patients with chronic myocardial infarction

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Z Meiszterics ◽  
T Simor ◽  
R J Van Der Geest ◽  
N Farkas ◽  
B Gaszner
Keyword(s):  
Myocardial Infarction ◽  
Regression Analysis ◽  
Cardiovascular Events ◽  
Pulse Wave ◽  
Cox Regression ◽  
Event Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier

Abstract Introduction Increased aortic pulse wave velocity (PWV) as a strong predictor of major advanced cardiovascular events (MACE) has a prognostic relevance in patients after myocardial infarction (MI). Several non-invasive methods have been proposed for the assessment of arterial stiffness, but the PWV values show significant differences according to the applied techniques. Cardiac magnetic resonance imaging (CMR) provides an accurate method to measure PWV and infarct size in patients after MI. Purpose Calculated PWV values of CMR based phase-contrast (PC) and invasively validated oscillometric methods were compared in this prospective observational study. We aimed to evaluate the cut-off PWV values for each method, while MACE predicted and validated the prognostic value of high PWV in post-infarcted patients in a 6-year follow-up. Methods 3D aortic angiography and PC velocity imaging was performed using a Siemens Avanto 1,5 T CMR device. Oscillometric based Arteriograph (AG) was used to assess PWV using direct body surface distance measurements. The comparison between the two techniques was tested. Patients received follow-up for MACE comprising all-cause death, non-fatal MI, ischemic stroke, hospitalization for heart failure and coronary revascularization. Event-free survival was analysed using Kaplan-Meier plots and log-rank tests. Univariable and multivariable Cox regression analysis was performed to identify outcome predictors. Results 75 patients (56 male, 19 female, average age: 56±13 years) referred for CMR were investigated, of whom 50 had coronary artery disease (CAD) including 35 patients with previous MI developing ischaemic late gadolinium enhancement (LGE) pattern. AG and CMR derived PWV values were significantly correlated (rho: 0,343, p&lt;0,05), however absolute PWV values were significantly higher for AG (median (IQR): 10,4 (9,2–11,9) vs. 6,44 (5,64–7,5); p&lt;0,001). Bland Altman analysis showed an acceptable agreement with a mean difference of 3,7 m/s between the two measures. In patients with CAD significantly (p&lt;0,01) higher PWV values were measured by AG and CMR, respectively. During the median follow-up of 6 years, totally 69 MACE events occurred. Optimized PWV cut-off values for MACE prediction were calculated (CMR: 6,47 m/s; AG: 9,625 m/s) by receiver operating characteristic analysis. Kaplan-Meier analysis in both methods showed a significantly lower event-free survival in case of high PWV (p&lt;0,01, respectively). Cox regression analysis revealed PWV for both methods as a predictor of MACE (PWV CMR hazard ratio (HR): 2,6 (confidence interval (CI) 1,3–5,1), PWV AG HR: 3,1 (CI: 1,3–7,1), p&lt;0,005, respectively). Conclusions Our study showed good agreement between the AG and CMR methods for PWV calculation. Both techniques are feasible for MACE prediction in postinfarcted patients. However, different AG and CMR PWV cut-off values were calculated to improve risk stratification. FUNDunding Acknowledgement Type of funding sources: None. Agreement between the two methods Kaplan-Meier event curves for MACE

scholarly journals Long-term survival of cemented versus uncemented total hip arthroplasty in the treatment of acute femoral neck fracture: A retrospective observational study with a mean 10-year follow-up

2020 ◽  
Author(s):  
Xiulan Han ◽  
Weiguang Yu ◽  
Jinluan Lin ◽  
Mingdong Zhao ◽  
Guowei Han ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Total Hip ◽  
Kaplan Meier ◽  
Uncemented Total Hip Arthroplasty

Abstract Background Despite the increased use of uncemented total hip arthroplasty (UTHA), there is little evidence of its superiority over cemented total hip arthroplasty (CTHA). The purpose of this retrospective study was to compare the long-term survivorship and Harris Hip Scores (HHSs) of CTHA versus UTHA in the treatment of acute femoral neck fractures (FNFs). Methods Data involving 224 hips (CTHA, n= 112; UTHA, n=112) that underwent primary surgery in our medical institutions during 2005-2017 were analysed retrospectively. The primary endpoint was the risk of all-cause revision. The difference in the risk of all-cause revision between groups was assessed by Kaplan-Meier survival analysis with a log-rank test and Cox regression analysis. Results The mean follow-up from surgery was 10 years (range, 3 - 13 years). Kaplan-Meier estimated that the 10-year implant survival was 98.1% (CI: 96.1–98.5) in the CTHA group and 96.2% (CI: 95.2–97.3) in the UTHA group (p = 0.030). The adjusted Cox regression analysis demonstrated a lower risk of revision in CTHA than in UTHA (hazard ratio [HR] = 1.4, 95% confidence interval [CI] = 1.1-2.6, p = 0.000). At the final follow-up, significant differences were detected in HHS (85.10[±12.21] for CTHA vs. 79.11[±13.19] for UTHA). Conclusion This retrospective analysis demonstrates that CTHA has superior survival to UTHA, with a significantly reduced revision risk and higher functional outcome scores. Further follow-up is necessary to verify whether the CTHA advantage persists over time.

scholarly journals Malnutrition Affects Cholesterol Paradox in Coronary Artery Disease: a 41,229 Chinese Cohort Study

2021 ◽  
Author(s):  
Bo Wang ◽  
Jin Liu ◽  
Shiqun Chen ◽  
Ming Ying ◽  
Guanzhong Chen ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Cox Regression Analysis ◽  
Coronary Syndrome ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Chinese Cohort ◽  
Artery Disease

Abstract Background: Several studies found that baseline low LDL-C concentration was associated with poor prognosis in patients with acute coronary syndrome (ACS), which was called “cholesterol paradox”. Low LDL-C concentration may reflect underlying malnutrition, which was strongly associated with increased mortality. We objected to investigate the cholesterol paradox in patients with CAD and the effects of malnutrition.Method: A total of 41,229 CAD patients admitted to Guangdong Provincial People's Hospital in China were included in this study from January 2007 to December 2018, and divided into two groups (LDL-C < 1.8 mmol/L, n=4,863; LDL-C ≥ 1.8 mmol/L, n = 36,366). We used Kaplan-Meier method and Cox regression analyses to assess the association between LDL-C levels and long-term all-cause mortality and the effect of malnutrition. Result: In this real-world cohort (mean age 62.94 years; 74.94% male), there were 5257 incidents of all-cause death during a median follow-up of 5.20 years [Inter-quartile range (IQR): 3.05-7.78 years]. Kaplan–Meier analysis showed that low LDL-C levels were associated with worse prognosis. After adjusting for baseline confounders (e.g., age, sex and comorbidities, etc.), multivariate Cox regression analysis revealed that low LDL-C level (<1.8mmol/L) was not significantly associated with all-cause mortality (adjusted HR, 1.04; 95% CI, 0.96-1.24). After adjustment of nutritional status, risk of all-cause mortality of patients with low LDL-C level decreased (adjusted HR, 0.90; 95% CI, 0.83-0.98). In the final multivariate Cox model, low LDL-C level was related to better prognosis (adjusted HR, 0.91; 95% CI, 0.84-0.99).Conclusion: Our results demonstrate that the cholesterol paradox persisted in CAD patients, but disappeared after accounting for the effects of malnutrition.

Validation of the Revised International Prognostic Scoring System in 2582 Patients with Myelodysplastic Syndrome: A Multicenter Study By the Hellenic MDS Study Group

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2004-2004
Author(s):  
Athanasios Galanopoulos ◽  
Christos K. Kontos ◽  
Nora-Athina Viniou ◽  
Ioannis Kotsianidis ◽  
Vassiliki Pappa ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Performance Status ◽  
Scoring Systems ◽  
Ecog Performance Status ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Transfusion Dependency

Abstract Introduction - Aims: Several prognostic scoring systems have been developed for patients with myelodysplastic syndromes (MDS), including the International Prognostic System (IPSS), the WHO Prognostic Scoring System (WPSS) and the Revised IPSS (IPSS-R). We evaluated the prognostic value of the IPSS-R on an independent group of 2,582 Greek patients with MDS, registered in the Hellenic National MDS Registry. The aim of this multicenter study was to validate the IPSS-R as a predictor for leukemia-free survival (LFS) and overall survival (OS), in newly-diagnosed MDS patients and to compare its prognostic significance with that of IPSS and WPSS. Moreover, to investigate the predictive value of IPSS-R in association with other recognized prognostic variables, such as patient's age, baseline serum lactate dehydrogenase (LDH), and ferritin concentrations, IPSS, WPSS, Eastern Cooperative Oncology Group (ECOG) performance status, transfusion dependency, and response to first-line treatment. Methods: Clinicopathological data from 2,582 MDS patients, diagnosed between 1/2000 - 1/2015 and registered in the Hellenic National MDS Registry were analyzed. Patients with MDS/MPN were excluded. Data included age, gender, date of diagnosis, clinical characteristics, WHO-2008 classification, laboratory parameters, transfusion dependency, bone marrow aspirate and biopsy morphology, cytogenetic findings, and type of treatment. LFS was calculated from the date of initial diagnosis of MDS until bone marrow blast increased to ≥20% [transformation to acute myeloid leukemia (AML), according to the WHO classification], or last contact. OS was defined as the time from MDS diagnosis to death, or last contact. Patients alive and not having developed AML until last follow-up were censored for OS and LFS, respectively. Kaplan-Meier survival analysis and Cox regression analysis were performed with regard to LFS and OS. Differences between Kaplan-Meier curves were evaluated using the Mantel-Cox (log-rank) test. All significant variables identified by univariate Cox regression analysis and clinical factors important for MDS were used to build the multivariate Cox regression models. Multivariate Cox regression analysis included only those patients for whom the status of all variables was known, and comprised age, serum LDH, and ferritin levels, transfusion dependency, response to first-line treatment, IPSS, WPSS, and IPSS-R. Confidence intervals (CI) were estimated at the 95% level; all tests were two-sided, accepting p<0.05 as indicative of a statistically significant difference. All statistical analyses were performed with the statistical software SPSS (version 21). Results: 1,623 male (62.9%) and 959 female MDS patients with a median age of 74 years at diagnosis were included in the current study. Complete follow-up information was available for 2,376 patients. The estimated median OS was 58 months (95% CI = 52.9 - 63.1 months). For 1,974 patients, data used in the calculation of all three scoring systems were complete, thus allowing risk score calculation and comparison of the three risk assessment systems. Median OS was significantly different in patient subgroups classified according to IPSS, WPSS, and IPSS-R, as shown by the Kaplan-Meier survival analysis (p<0.001). Fig. 1 shows Kaplan-Meier OS curves of MDS patients stratified according to IPSS-R (p<0.001). Moreover, the comparison of the prognostic value of the IPSS, WPSS, and IPSS-R revealed that the IPSS-R was significantly superior to both, WPSS and IPSS (p<0.001 in all cases). Multivariate Cox regression analysis demonstrated that the high prognostic value of IPSS-R, in terms of LFS and OS, was independent of patient's age, serum LDH, and ferritin concentration, ECOG performance status, and transfusion dependency (p<0.001). Interestingly, besides IPSS-R, patient age and transfusion dependency retain their small - yet significant - prognostic impact in the multiparametric models, thus implying that these two parameters could add prognostic value to the IPSS-R. Conclusions: Our data support the notion that all three prognostic scores are very useful predictors for both, LFS and OS in MDS, yet IPSS-R is superior to IPSS and WPSS as a prognostic tool, with regard to OS. Disclosures No relevant conflicts of interest to declare.

scholarly journals Association of Soluble Klotho Level with Adverse Outcomes in Patients on Maintenance Hemodialysis

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Li-xia Yu ◽  
Qi-feng Liu ◽  
Jian-hua Feng ◽  
Sha-sha Li ◽  
Xiao-xia Gu ◽  
...  
Keyword(s):  
Cox Regression ◽  
Adverse Outcomes ◽  
Maintenance Hemodialysis ◽  
Strongly Correlated ◽  
Independent Predictive Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Association ◽  
All Cause Mortality

Background. The predictive value of soluble Klotho (sKlotho) for adverse outcomes in patients on maintenance hemodialysis (MHD) is controversial. In this study, we aimed to clarify the potential association of sKlotho levels with adverse outcomes in this patient population. Materials. A total of 211 patients on MHD were identified and stratified according to the median sKlotho level. Patients were followed up for adverse outcomes including cardiovascular (CV) morbidity and all-cause mortality. Results. During the 36-month follow-up, 75 patients [51 CV events (including 16 CV deaths) and 40 deaths] experienced adverse outcomes. After stratification according to median sKlotho level, patients with a lower sKlotho level had a greater risk of CV events (38.2% vs. 19.5%, p = 0.006 ), all-cause mortality (28.4% vs. 11.6%, p = 0.003 ), and combined adverse outcomes (51.0% vs. 24.2%, p < 0.001 ). Similar observations were made from analyses using Kaplan-Meier survival curves. Cox regression analysis showed that a low sKlotho level was strongly correlated with CV morbidity [1.942 (1.030–3.661), p = 0.040 )], all-cause mortality [2.073 (1.023–4.203), p = 0.043 ], and combined adverse outcomes [1.818 (1.092–3.026), p = 0.021 ] in fully adjusted models. Conclusions. The sKlotho level was an independent predictive factor of adverse outcomes including CV morbidity and mortality in patients on MHD.

scholarly journals Long-term effects of citric acid-based bicarbonate haemodialysis on patient outcomes: a survival propensity score–matched study in western France

2020 ◽  
Vol 35 (7) ◽  
pp. 1228-1236 ◽  
Author(s):  
Jacky Potier ◽  
Thibault Dolley-Hitze ◽  
Didier Hamel ◽  
Isabelle Landru ◽  
Erick Cardineau ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Patient Outcomes ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Long Term Effects ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Statistical Relevance ◽  
All Cause Mortality

Abstract Background Citric acid–based bicarbonate haemodialysis (CIT-HD) has gained more clinical acceptance over the last few years in France and is a substitute for other acidifiers [e.g. acetic acid (CH3COOH) and hydrochloric acid (HCl)]. This trend was justified by several clinical benefits compared with CH3COOH as well as the desire to avoid the consequences of the corrosive action of HCl, but a nationwide clinical report raised concerns about the long-term safety of CIT-HD. The aim of this study was to assess the long-term effects of CIT-HD exposure on patient outcomes in western France. Methods This is a population-based retrospective multicentre observational study performed in 1132 incident end-stage kidney disease patients in five sanitary territories in western France who started their renal replacement therapy after 1 January 2008 and followed up through 15 October 2018. Relevant data, collected prospectively with the same medical software, were anonymously aggregated for the purposes of the study. The primary goal of this study was to investigate the effects of citrate exposure on all-cause mortality. To provide a control group to CIT-HD one, propensity score matching (PSM) at 2:1 was performed in two steps: the first analysis was intended to be exploratory, comparing patients who received citrate ≤80% of the time (CIT-HD ≤80) versus those who received citrate &gt;80% of the time (CIT-HD &gt;80), while the second analysis was intended to be explanatory in comparing patients with 0% (CIT-HD0) versus 100% citrate time exposure (CIT-HD100). Results After PSM, in the exploratory part of the analysis, 432 CIT-HD ≤80 patients were compared with 216 CIT-HD &gt;80 patients and no difference was found for all-cause mortality using the Kaplan–Meier model (log-rank 0.97), univariate Cox regression analysis {hazard ratio [HR] 1.01 [95% confidence interval (CI) 0.71–1.40]} and multivariate Cox regression analysis [HR 1.11 (95% CI 0.76–1.61)] when adjusted for nine variables with clinical pertinence and high statistical relevance in the univariate analysis. In the explanatory part of the analysis, 316 CIT-HD0 patients were then compared with 158 CIT-HD100 patients and no difference was found using the Kaplan–Meier model (log-rank 0.06), univariate Cox regression analysis [HR 0.69 (95% CI 0.47–1.03)] and multivariate Cox regression analysis [HR 0.87 (95% CI 0.57–1.33)] when adjusted for seven variables with clinical pertinence and high statistical relevance in the univariate analysis. Conclusions Findings of this study support the notion that CIT-HD exposure ≤6 years has no significant effect on all-cause mortality in HD patients. This finding remains true for patients receiving high-volume online haemodiafiltration, a modality most frequently prescribed in this cohort.

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