Arteriovenous fistula maturation in patients with permanent access created prior to or after hemodialysis initiation

2017 ◽  
Vol 18 (3) ◽  
pp. 185-191 ◽  
Author(s):  
Juan C. Duque ◽  
Laisel Martinez ◽  
Marwan Tabbara ◽  
Denise Dvorquez ◽  
Sushil K. Mehandru ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Arteriovenous Fistulas ◽  
Ckd Stage ◽  
Artery Disease ◽  
The University ◽  
Fistula Maturation ◽  
Arteriovenous Fistula Maturation

Introduction Multiple factors and comorbidities have been implicated in the ability of arteriovenous fistulas (AVF) to mature, including vessel anatomy, advanced age, and the presence of coronary artery disease or peripheral vascular disease. However, little is known about the role of uremia on AVF primary failure. In this study, we attempt to evaluate the effect of uremia on AVF maturation by comparing AVF outcomes between pre-dialysis chronic kidney disease (CKD) stage five patients and those who had their AVF created after hemodialysis (HD) initiation. Methods We included 612 patients who underwent AVF creation between 2003 and 2015 at the University of Miami Hospital and Jackson Memorial Hospital. Effects of uremia on primary failure were evaluated using univariate statistical comparisons and multivariate logistic regression analyses. Results Primary failure occurred in 28.1% and 26.3% of patients with an AVF created prior to or after HD initiation, respectively (p = 0.73). The time of HD initiation was not associated with AVF maturation in multivariate logistic regression analysis (p = 0.57). In addition, pre-operative blood urea nitrogen (p = 0.78), estimated glomerular filtration rate (p = 0.66), and serum creatinine levels (p = 0.14) were not associated with AVF primary failure in pre-dialysis patients. Conclusions Our results show that clearance of uremia with regular HD treatments prior to AVF creation does not improve the frequency of vascular access maturation.

scholarly journals Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure

2017 ◽  
Vol 41 (3) ◽  
pp. 865-874 ◽  
Author(s):  
Junjie Xiao ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Qiulian Zhou ◽  
Yanli Zhou ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Univariate Logistic Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Identification of novel biomarkers to identify acute heart failure (AHF) patients at high risk of mortality is an area of unmet clinical need. Recently, we reported that the baseline level of circulating miR-30d was associated with left ventricular remodeling in response to cardiac resynchronization therapy in advanced chronic heart failure patients. However, the role of circulating miR-30d as a prognostic marker of survival in patients with AHF has not been explored. Methods: Patients clinically diagnosed with AHF were enrolled and followed up for 1 year. Quantitative reverse transcription polymerase chain reactions were used to determine serum miR-30d levels. The univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the predictors for all-cause mortality in AHF patients. Kaplan–Meier survival analysis was used to analyze the role of miR-30d in prediction of survival. Results: A total of 96 AHF patients were enrolled and followed up for 1 year. Serum miR-30d was significantly lower in AHF patients who expired in the one year follow-up period compared to those who survived. Univariate logistic regression analysis yielded 18 variables that were associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 4 variables including heart rate, hemoglobin, serum sodium, and serum miR-30d level associated with mortality. ROC curve analysis showed that hemoglobin, heart rate and serum sodium displayed poor prognostic value for AHF (AUCs not higher than 0.700) compared to miR-30d level (AUC = 0.806). Kaplan–Meier survival analysis confirmed that patients with higher serum miR-30d levels had significantly lower mortality (P=0.001). Conclusion: In conclusion, this study shows evidence for the predictive value of circulating miR-30d as 1-year all-cause mortality in AHF patients. Large multicentre studies are further needed to validate our findings and accelerate the transition to clinical utilization.

scholarly journals Serum Irisin Predicts Mortality Risk in Acute Heart Failure Patients

2017 ◽  
Vol 42 (2) ◽  
pp. 615-622 ◽  
Author(s):  
Shutong Shen ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Jin Li ◽  
Haifeng Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Curve Analysis ◽  
Multivariate Logistic Regression ◽  
Roc Curve Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Irisin is a peptide hormone cleaved from a plasma membrane protein fibronectin type III domain containing protein 5 (FNDC5). Emerging studies have indicated association between serum irisin and many major chronic diseases including cardiovascular diseases. However, the role of serum irisin as a predictor for mortality risk in acute heart failure (AHF) patients is not clear. Methods: AHF patients were enrolled and serum was collected at the admission and all patients were followed up for 1 year. Enzyme-linked immunosorbent assay was used to measure serum irisin levels. To explore predictors for AHF mortality, the univariate and multivariate logistic regression analysis, and receiver-operator characteristic (ROC) curve analysis were used. To determine the role of serum irisin levels in predicting survival, Kaplan-Meier survival analysis was used. Results: In this study, 161 AHF patients were enrolled and serum irisin level was found to be significantly higher in patients deceased in 1-year follow-up. The univariate logistic regression analysis identified 18 variables associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 2 variables namely blood urea nitrogen and serum irisin. ROC curve analysis indicated that blood urea nitrogen and the most commonly used biomarker, NT-pro-BNP, displayed poor prognostic value for AHF (AUCs ≤ 0.700) compared to serum irisin (AUC = 0.753). Kaplan-Meier survival analysis demonstrated that AHF patients with higher serum irisin had significantly higher mortality (P<0.001). Conclusion: Collectively, our study identified serum irisin as a predictive biomarker for 1-year all-cause mortality in AHF patients though large multicenter studies are highly needed.

TCF21 variant is a risk factor for coronary artery disease and will it be a prognostic marker?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Temtem ◽  
M Serrao ◽  
A Pereira ◽  
M Santos ◽  
F Mendonca ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Cox Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Rank Test ◽  
Major Adverse Cardiovascular Events ◽  
Multivariate Logistic Regression ◽  
Artery Disease

Abstract Background TCF21 gene, encodes a basic-helix- loop- helix transcription factor, playing a critical action in the development of epicardial progenitor cells that give rise to coronary artery smooth muscle cells (SMC) and cardiac fibroblasts. Recent data suggest that TCF21 may play a role in the state of differentiation of SMC precursor cells that migrate to vascular lesions and contribute to fibrous cap. Purpose Investigate the association of TCF21 rs12190287G&gt;C variant with coronary artery disease (CAD) in a Portuguese population and its role on the prognosis. Methods Case-control study with 3120 participants, 1687 coronary patients with at least 75% obstruction of a major coronary artery and 1433 controls. Genotyping used the TaqMan technique (Applied Biosystems) and then a univariate and multivariate logistic regression analysis were performed. After a mean follow-up of 5.01±4.2 years (interquartile range 1.96–7.57), the occurrence of the combined Major Adverse Cardiovascular Events (MACE) (Cardiovascular Mortality, non-fatal Myocardial Infarction, new Revascularization, Cerebrovascular Disease and Peripheric Vascular Disease) were registered and analysed by Cox regression. Finally, Kaplan-Meier survival estimate was performed. Results In the total population, GC+CC genotype was found to be associated with CAD with an OR of 1.285; CI: 1.022–1.614; p=0.031. After multivariate logistic regression, adjusted to traditional risk factors, the association with CAD remained significant for this genotype (OR=1.340; CI: 1.042–1.723; p=0.022).After Cox regression adjusted for confounding variables (age and sex, hypertension, diabetes, smoking, dyslipidemia, eGFR, Ejection fraction &lt;55) the mutated genotype remained a significant predictor of MACE (HR=1.420; CI: 1.032–1.953; p=0.031). The individuals carrying the mutated allele (GC+CC) at the mean follow-up showed an event probability of 36.1%, whereas the wild population (GG) presented only 23.4%. The Log-Rank test showed significant differences between the two curves (p=0.019). Conclusion The mutated TCF21 variant can provide a new marker to identify patients at high cardiovascular risk and may representa potential target for gene therapy in future. Figure 1 Funding Acknowledgement Type of funding source: None

Remnant Lipoprotein Cholesterol Independently Associates With In-Stent Restenosis After Drug-Eluting Stenting for Coronary Artery Disease

Angiology ◽  
2019 ◽  
Vol 70 (9) ◽  
pp. 853-859 ◽  
Author(s):  
Xiangyu Xu ◽  
Ram Udgar Pandit ◽  
Le Han ◽  
Yan Li ◽  
Xiaomei Guo
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Stent Restenosis ◽  
Remnant Lipoprotein ◽  
Drug Eluting ◽  
Artery Disease ◽  
In Stent Restenosis

This study evaluated the prognostic value of remnant lipoprotein cholesterol (RLP-C) as a predictor of in-stent restenosis (ISR) after drug-eluting stent (DES) implantation in patients with coronary artery disease (CAD). Consecutive patients with CAD (n = 612) who underwent both successful coronary DES implantation and follow-up angiography ranging from 6 to 24 months were enrolled. The independent predictors of ISR were explored by multivariate logistic regression analysis; 95 (15.52%) patients were identified to have ISR. Multivariate logistic regression analysis showed that RLP-C concentration (odds ratio [OR]: 4.245, 95% confidence interval [CI]: 2.493-7.229), age (OR: 1.026, 95% CI: 1.002-1.051), diabetes mellitus (DM; OR: 1.811, 95% CI: 1.134-2.892), and lesion length (OR: 1.013, 95% CI: 1.002-1.024) were associated with ISR. Via subgroup analysis, we found that RLP-C was independently associated with ISR in both CAD with DM (OR: 4.154, 95% CI: 1.895-9.104) and CAD without DM (OR: 4.455, 95% CI: 2.097-9.464) groups. In the analysis of the receiver operating characteristics curve, RLP-C level >0.515 mmol/L exhibited 77.9% sensitivity and 56.5% specificity (area under the curve: 0.705, 95% CI: 0.648-0.762) in predicting ISR. In conclusion, RLP-C is independently associated with the development of ISR in patients with CAD after DES implantation.

scholarly journals Could remnant-like particle cholesterol become a risk factor in diabetic menopausal women with coronary artery disease? A cross-sectional study of single academic center in China

2020 ◽  
Author(s):  
Xunxun Feng ◽  
Qianyun Guo ◽  
Shu Zhou ◽  
Tienan Sun ◽  
Yuyang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Risk Factor ◽  
Independent Risk Factor ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Menopausal Women ◽  
Artery Disease

Abstract Background and aims It has been confirmed that remnant-like particle cholesterol (RLP-C) mediates the progression of coronary artery disease (CAD). Currently there is limited information on RLP-C in menopausal women. With the special status of diabetes mellitus (DM) combined with the special body changes of the menopausal women, the RLP-C is particularly important when studying the changes that occurred in response to CAD and its associated risk factors. This study discussed whether RLP-C could be an independent risk factor for menopausal women with CAD and DM. Methods The cohort consisted of 4753 menopausal women who had undergone coronary angiography. Subjects were separated into CAD and non-CAD groups, and univariate and multivariate logistic regression analysis of CAD risk factors were performed. All patients with a history of DM were divided into DM subgroups. Then, the univariate and multivariate logistic regression analysis of the risk factors of CAD and the comparison among age groups in the DM subgroup were performed. After age stratification of the DM group, the Kruskal-Wallis test was used to analyze the differences of various lipid indexes among age groups. Results The multivariate logistic regression showed that RLP-C was an independent risk factor for CAD in menopausal women (OR 1.232, 95%CI 1.070-1.419). In the DM subgroup, it was also found that RLP-C was an independent risk factor for CAD (OR 1.366, 95%CI 1.043-1.791). Kruskal-Wallis test analysis found that RLP-C had no significant difference among three groups (P>0.05). Conclusions RLP-C was proved to be an independent risk factor for menopausal women with CAD and DM.

scholarly journals Correlation of Diabetes and Cancers: A Survey of Hospitalized Patients in the United State, 2005-2015

2021 ◽  
Author(s):  
Alireza Mirahmadizadeh ◽  
Mohammad Hossein Sharifi ◽  
Mohammad Aryaie ◽  
Zahra Gheibi ◽  
Alireza Rezvani ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Protective Role ◽  
Hospitalized Patients ◽  
Multivariate Logistic Regression ◽  
New Information ◽  
Contradictory Evidence ◽  
The Relationship

Abstract BackgroundIn recent decades, there is a growing body of literature that recognizes the relationship between diabetes and cancers. However, there is limited and contradictory evidence regarding whether diabetes is associated with an increased or decreased risk of some cancers.MethodIn this survey, data from 44,262,443 patients aged ≥50 years from 2005 to 2015 were obtained from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-NIS) database. Univariate analysis and multivariate logistic regression between diabetes and 33 selected cancers among hospitalized patients were calculated from data extracted from the database.ResultsThis study revealed that out of 44,262,443 discharges, 13,048,961 patients had diabetes for a prevalence of 29.48%, and 11,752,871 cases of 33 different cancers existed among 9,103,889 patients. Data revealed that the proportion of patients hospitalized with diabetes increased from 25.79% to 32.31% in uncomplicated diabetes (mean age: 70.11±11.07 years) and from 4.47% to 7.14% in complicated diabetes (mean age: 68.71±10.72 years). The univariate analysis and multivariate logistic regression analysis revealed that diabetes, including uncomplicated and complicated, had a protective role for 33 selected cancers as the 1st–30th diagnosis except for pancreatic cancer (OR 1.415, 95% CI: 1.40–1.43), and liver and intrahepatic cancer (OR 1.199, 95% CI: 1.184–1.213).ConclusionThis study presents new information on the likelihood of a protective role of diabetes in certain cancers using a large amount of individual data. Continued efforts and research are needed to provide detailed and probable biological mechanisms linking diabetes and the development and progression of cancer.

Baseline characteristics of arm vessels by preoperative duplex ultrasonography in Korean patients for hemodialysis vascular access

2019 ◽  
Vol 20 (6) ◽  
pp. 646-651
Author(s):  
Minji Cho ◽  
Jung Sun Kim ◽  
Sungsin Cho ◽  
Won Pyo Cho ◽  
Chanjoong Choi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Arteriovenous Fistula ◽  
Vascular Access ◽  
Multivariate Logistic Regression Analysis ◽  
Duplex Ultrasonography ◽  
Multivariate Logistic Regression ◽  
Baseline Characteristics ◽  
End Stage ◽  
Fistula Maturation ◽  
Arteriovenous Fistula Maturation

Background: Preoperative mapping with duplex ultrasonography is crucial for successful vascular access creation for hemodialysis. The aims of this study are to assess the baseline characteristics of arm vessels by preoperative duplex ultrasonography in Korean patients, to find out a preoperative duplex ultrasonography parameter precluding distal arteriovenous fistula creation, to assess the maturation failure rate of arteriovenous fistulas, and to identify associated risk factors. Methods: Preoperative duplex ultrasonography mapping for vascular access creation was done in all patients with end-stage renal diseases during the year 2015. The baseline data of duplex ultrasonography were retrospectively analyzed with follow-up clinical data. Results: A total of 299 end-stage renal disease patients (mean age = 62 years, 62% male) were included. On preoperative duplex ultrasonography, mean diameters of radial artery and cephalic vein at wrist were 2.03 and 2.40 mm in the non-dominant arm and 2.10 and 2.26 mm in the dominant arm, respectively. The most common reason for precluding radial-cephalic arteriovenous fistula at wrist was small-sized cephalic vein. Multivariate logistic regression analysis revealed that the risk factors for inadequate vessels were warfarin treatment, old age (⩾75 years), and peripheral arterial occlusive disease. The rate of arteriovenous fistula maturation failure was 21% and vein diameter <2.5 mm was the only risk factor for arteriovenous fistula maturation failure by multivariate logistic regression analysis. Conclusion: Preoperative duplex ultrasonography evaluation is important to find out inadequate vessels for native arteriovenous fistula and to determine the location of vascular access.

scholarly journals Prevalence and determinants of hypertension among students of the University of Kinshasa, Democratic Republic of Congo: a cross-sectional study

1970 ◽  
Vol 19 (4) ◽  
pp. 2854-2862
Author(s):  
Guy I Wanghi ◽  
Paulin B Mutombo ◽  
Ernest K Sumaili
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
The University

Background: The 2017 ACC/AHA Guideline categorized blood pressure into 4 levels:normal (SBP<120 and DBP <80mm Hg), elevated (SBP of 120–129 or DBP< 80 mmHg) and stage 1 (SBP of 130–139 or DBP of 80–89 mm Hg) or 2 (SBP≥140 orDBP≥90mmHg). Compared with the JNC7 guideline, the 2017 ACC/AHA guideline recommends using lower SBP and DBP levels to define hypertension.Objective: To determine the prevalence of hypertension as well as associated factors among students of the University of Kinshasa.Methods: This was a cross-sectional study conducted at the University of Kinshasa and including 1 281 students aged between 18 and 30. Blood pressure was assessed according to the WHO STEPwise approach, which is a standardized method of data collection, analysis and dissemination for the surveillance of non-communicable diseases in WHO member countries.The Chi-square and Student's t-tests and a multivariate logistic regression analysis have been used to evaluate the results. Statistical analyses were done using IBM SPSS version 21.Results: The prevalence of hypertension according to the guidelines from the 2017 ACC/AHA and the JNC 7 was 26.4 % (CI 95%; 23.9 - 28.9) and 7.3 % (CI 95%; 5.8 -8.8), respectively. The results of multivariate logistic regression analysis showed that smoking, alcohol abuse, overweight, male sex, age ≥ 24 years old and low physical activity were associated with hypertension (p < 0.0001).Conclusion: At least one out of four students had hypertension. These data should encourage public health authorities to develop strategies for screening of BP and topromote the adoption of healthy lifestyle in young adults.Keywords: Hypertension, risk factors, student, prevalence.

Could remnant lipoprotein cholesterol become a risk factor in diabetic menopausal women with coronary artery disease? A cross-sectional study of single academic center in China

2020 ◽  
Author(s):  
Xunxun Feng ◽  
Qianyun Guo ◽  
Shu Zhou ◽  
Tienan Sun ◽  
Yuyang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Risk Factor ◽  
Independent Risk Factor ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Remnant Lipoprotein ◽  
Menopausal Women ◽  
Artery Disease

Abstract Background and aimsIt had been confirmed that remnant lipoprotein cholesterol (RLP-C) mediates the progression of coronary artery disease (CAD). Currently there was limited information on RLP-C in menopausal women. With the special status of diabetes mellitus (DM) combined with the special body changes of the menopausal women, the RLP-C was particularly important when studying the changes that occurred in response to CAD and its associated risk factors. This study discussed whether RLP-C could be an independent risk factor for menopausal women with CAD and DM.MethodsThe cohort consisted of 4753 menopausal women who had undergone coronary angiography. Subjects were separated into CAD and non-CAD groups, and univariate and multivariate logistic regression analysis of CAD risk factors were performed. All patients with a history of DM were divided into DM subgroups. Then, the univariate and multivariate logistic regression analysis of the risk factors of CAD and the comparison among age groups in the DM subgroup were performed. After age stratification of the DM group, the Kruskal-Wallis test was used to analyze the differences of various lipid indexes among age groups. Results The univariate and multivariate logistic regression showed that RLP-C was an independent risk factor for CAD in menopausal women (OR 1.274, 95%CI 1.107-1.467, P=0.001). In the DM subgroup, it was also found that RLP-C was an independent risk factor for CAD (OR 1.243, 95%CI 1.078-1.433, P=0.003). Kruskal-Wallis test analysis found that RLP-C had no significant difference among three groups (P>0.05).ConclusionsRLP-C was proved to be an independent risk factor for menopausal women with CAD and DM.

scholarly journals Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis.

2012 ◽  
Vol 59 (4) ◽  
Author(s):  
Ashraf Direkvand-Moghadam ◽  
Afra Khosravi ◽  
Kourosh Sayehmiri
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Demographic Variables ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
History Of

Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p

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