Risk Factors for Aortic Valve Calcification in Patients on Regular Hemodialysis

2009 ◽  
Vol 32 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Valve ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Aortic Valve Calcification ◽  
Valve Calcification ◽  
Regular Hemodialysis

Introduction Aortic valve calcification (AVC) accelerates development of aortic valve stenosis and cardiovascular complications. Hyperphosphatemia is one of the key risk factors for aortic valve calcification. Aim The aim of this study was to evaluate the prevalence of AVC in patients on regular hemodialysis and to assess the impact of different factors on its appearance. Method: The study investigated a total of 115 patients treated in the Hemodialysis Department of the Urology and Nephrology Clinic at the Kragujevac Clinical Center in Serbia. The variables investigated were: serum albumin, C-reactive protein (CRP), homocysteine, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), triglycerides (TG), Apolipoprotein A-I (Apo A-I), Apolipoprotein B (Apo B) and lipoprotein (a), calcium, phosphate and parathormone, and calcium-phosphorus product (Ca × P). Patients were evaluated by echocardiography for AVC. Statistical analysis included univariate and multivariate logistic regression analysis. Results Univariate regression analysis showed that serum phosphate levels and Ca × P are the most important risk factors for AVC (p<0.001). Multivariate logistic regression analysis revealed that hyperphosphatemia is an independent risk factor for AVC (p<0.001). Conclusion Hyperphosphatemia is an independent risk factor for aortic valve calcification.

scholarly journals Delayed diagnosis of critical congenital heart defects predicting risk factors and survival rate in newborns in Beijing: a retrospective study

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110280
Author(s):  
Wen Zhang ◽  
Hong-Yan Xu ◽  
Yan-Chun Zhang ◽  
Kai-Bo Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Retrospective Study ◽  
Congenital Heart ◽  
Heart Defects ◽  
Delayed Diagnosis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression

Objective To assess the prevalence and survival rate of newborns with a delayed diagnosis of critical congenital heart defects (CCHD) in Beijing. Methods This retrospective study analysed data from births between 2010 and 2017 from the Birth Defects Monitoring Network in Beijing. Newborns with CCHD were analysed according to seven categories. Statistical analyses were used to calculate the mortality rate within the first week (days 0–6) after live birth. Multivariate logistic regression analysis of survival was performed to analyse the potential risk factors for newborn mortality. Results A total of 1 773 935 perinatal newborns were screened in Beijing and 1851 newborns were diagnosed with CCHD, showing a prevalence of 10.43 per 10 000. Among the total 1851 CCHD patients, the majority (1692 of 1851; 91.41%) were identified through prenatal diagnosis, 104 of 1851 (5.62%) were diagnosed before obstetric discharge/transfer and 55 of 1851 (2.97%) were identified through delayed diagnosis. The prevalence of CCHD in newborns was 1.96 per 10 000 births. Multivariate logistic regression analysis of survival demonstrated that gestational age at delivery was the only risk factor for death within the first week after birth. Conclusions Within the first week after birth, gestational age was the only risk factor for death in newborns with CCHD.

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 Risk factors for carotid plaque progression after optimising the risk factor treatment: substudy results of the Atherosclerotic Plaque Characteristics Associated with a Progression Rate of the Plaque and a Risk of Stroke in Patients with the carotid Bifurcation Plaque Study (ANTIQUE)

2021 ◽  
pp. svn-2021-001068
Author(s):  
David Školoudík ◽  
Petra Kešnerová ◽  
Tomáš Hrbáč ◽  
David Netuka ◽  
Jaroslav Vomáčka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Carotid Plaque ◽  
Multivariate Logistic Regression Analysis ◽  
Plaque Progression ◽  
Multivariate Logistic Regression ◽  
Factors Influencing

Background and aimCarotid plaque progression contributes to increasing stroke risk. The study aims to identify factors influencing carotid plaque thickness progression after changing the preventive treatment to the ‘treating arteries instead of risk factors’ strategy, that is, change in treatment depending on the progression of atherosclerosis.MethodsThe study participants who completed sonographic controls over the course of 3 years were enrolled to the analysis. Duplex sonography of cervical arteries was performed in 6-month intervals with measurement of carotid plaque thickness. Plaque thickness measurement error (σ) was set as 3 SD. Only evidently stable and progressive plaques (defined as plaque thickness difference between initial and final measurements of ˂σ and >2σ, respectively) were included to analysis. Univariate and multivariate logistic regression analysis was performed to identify factors influencing plaque progression.ResultsA total of 1391 patients (466 males, age 67.2±9.2 years) were enrolled in the study. Progressive plaque in at least one carotid artery was detected in 255 (18.3%) patients. Older age, male sex, greater plaque thickness, coronary heart disease, vascular surgery/stenting history and smoking were more frequently present in patients with progressive plaque (p˂0.05 in all cases). Multivariate logistic regression analysis identified only the plaque thickness (OR 1.850 for left side, 95% CI 1.398 to 2.449; and OR 1.376 for right side, 95% CI 1.070 to 1.770) as an independent factor influencing plaque progression.ConclusionCarotid plaque thickness corresponding to stenosis severity is the only independent risk factor for plaque thickness progression after optimising the prevention treatment.Trial registration numberNCT02360137.

scholarly journals Risk factors for vasovagal reaction associated with cerebral angiography via femoral catheterisation

2017 ◽  
Vol 23 (5) ◽  
pp. 546-550 ◽  
Author(s):  
Yunna Yang ◽  
Zhenhai Zhang ◽  
Tong Li ◽  
Zheng Gu ◽  
Yongquan Sun
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cerebral Angiography ◽  
Multivariate Logistic Regression Analysis ◽  
Preoperative Fasting ◽  
Multivariate Logistic Regression ◽  
Compression Device ◽  
Vasovagal Reaction ◽  
Fasting Time

Objective To analyse the related risk factors for vasovagal reaction associated with cerebral angiography via femoral catheterisation and discuss treatment measures and prevention and control methods. Methods The data of 3107 patients on whom cerebral angiography was performed in two high-volume interventional neuroradiology centres within 8 years were retrospectively analysed. Patients were divided into the vasovagal reaction and non-vasovagal reaction groups according to whether vasovagal reaction developed. The two groups’ clinical data were analysed using univariate and multivariate logistic regression analysis to examine vasovagal reaction-related factors. Results Of the 3107 patients included, 127 developed vasovagal reaction (4.09%). Of the 127 patients who developed vasovagal reaction, 123, three and one had vasovagal reaction after sheath removal, during cerebral angiography and upon femoral artery compression device removal, respectively. Differences in age, body mass index, sex ratios, proportions of patients with hypertension, diabetes and hyperlipemia, and adoption rate of femoral artery compression device were not statistically significant between the two groups ( P > 0.05). Compared with the control group, the vasovagal reaction group had a significantly longer preoperative fasting time ( P < 0.05). Multivariate logistic regression analysis revealed preoperative fasting time as the only risk factor for vasovagal reaction that was associated with cerebral angiography ( P < 0.001). Conclusion Excessive fasting time before cerebral angiography is the most important risk factor for vasovagal reaction associated with cerebral angiography.

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.

Cross-sectional study of aortic valve calcification and cardiovascular risk factors in older Danish men

Heart ◽  
2021 ◽  
pp. heartjnl-2021-319023
Author(s):  
Lida Khurrami ◽  
Jacob Eifer Møller ◽  
Jes Sanddal Lindholt ◽  
Grazina Urbonaviciene ◽  
Flemming Hald Steffensen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cardiovascular Risk ◽  
Aortic Valve ◽  
Cardiovascular Risk Factors ◽  
Large Population ◽  
Aortic Valve Calcification ◽  
Cross Sectional ◽  
Valve Calcification ◽  
Link Type

ObjectiveAortic valve calcification (AVC) and coronary artery calcification (CAC) are predictors of cardiovascular disease (CVD), presumably sharing risk factors. Our objectives were to determine the prevalence and extent of AVC in a large population of men aged 60–74 years and to assess the association between AVC and cardiovascular risk factors including CAC and biomarkers.MethodsParticipants from the DANish CArdioVAscular Screening and intervention trial (DANCAVAS) with AVC and CAC scores and without previous valve replacement were included in the study. Calcification scores were calculated on non-contrast CT scans. Cardiovascular risk factors were self-reported, measured or both, and further explored using descriptive and regression analysis for AVC association.Results14 073 men aged 60–74 years were included. The AVC scores ranged from 0 to 9067 AU, with a median AVC of 6 AU (IQR 0–82). In 8156 individuals (58.0%), the AVC score was >0 and 215 (1.5%) had an AVC score ≥1200. In the regression analysis, all cardiovascular risk factors were associated with AVC; however, after inclusion of CAC ≥400, only age (ratio of expected counts (REC) 1.07 (95% CI 1.06 to 1.09)), hypertension (REC 1.24 (95% CI 1.09 to 1.41)), obesity (REC 1.34 (95% CI 1.20 to 1.50)), known CVD (REC 1.16 (95% CI 1.03 to 1.31)) and serum phosphate (REC 2.25 (95% CI 1.66 to 3.10) remained significantly associated, while smoking, diabetes, hyperlipidaemia, estimated glomerular filtration rate and serum calcium were not.ConclusionsAVC was prevalent in the general population of men aged 60–74 years and was significantly associated with all modifiable cardiovascular risk factors, but only selectively after adjustment for CAC ≥400 AU.Trial registration numberNCT03946410 and ISRCTN12157806.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p &lt; 0.001), larger volume of expander (200–400 ml vs &lt;200 ml; OR, 1.74; p = 0.032; &gt;400 ml vs &lt;200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of &lt;1 year, expander volume of &gt;200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

scholarly journals Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

2021 ◽  
Author(s):  
Elisabetta Schiaroli ◽  
Anna Gidari ◽  
Giovanni Brachelente ◽  
Sabrina Bastianelli ◽  
Alfredo Villa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Critical Illness ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Severe Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

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