scholarly journals Baseline Demographics And Clinical Characteristics Associated With Healthcare Costs Among Patients With Atherosclerotic Cardiovascular Disease

2015 ◽  
Vol 18 (3) ◽  
pp. A148
Author(s):  
T.P. Power ◽  
X. Ke ◽  
Z. Zhao ◽  
N. Bonine ◽  
M.J. Cziraky ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Healthcare Costs ◽  
Clinical Characteristics ◽  
Atherosclerotic Cardiovascular Disease

Hidden Cost of Rheumatoid Arthritis (RA): Estimating Cost of Comorbid Cardiovascular Disease and Depression Among Patients with RA

2009 ◽  
Vol 36 (4) ◽  
pp. 743-752 ◽  
Author(s):  
AMIE T. JOYCE ◽  
PAULA SMITH ◽  
REZAUL KHANDKER ◽  
JEFFREY M. MELIN ◽  
AMITABH SINGH
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Disease ◽  
Healthcare Cost ◽  
Generalized Linear Model ◽  
Healthcare Costs ◽  
Clinical Characteristics ◽  
Claims Data ◽  
Significant Proportion ◽  
Hidden Cost ◽  
Utilization Patterns

Objective.To examine resource utilization and direct healthcare cost associated with comorbid cardiovascular disease (CVD) and depression among patients with prevalent rheumatoid arthritis (RA) based on analyses of retrospective healthcare claims data.Methods.The index date was set as the first observed claim with an RA diagnosis. Patients were required to be ≥ 18 years of age, to have received RA-related treatment during the pre-index period, and to have 12-month pre- and post-index data. Based on pre-index utilization, patients were classified into 4 diagnosis groups: RA alone, RA + CVD, RA + depression, and RA + CVD + depression. Analyses focused on annual differences in costs between patients with RA alone and those with CVD and/or depression. A generalized linear model was applied to control for demographic and clinical characteristics and to estimate cohort-specific adjusted mean annual healthcare cost.Results.Of 10,298 patients, 8,916 had RA alone (86.6%), 608 had RA + CVD (5.9%), 716 had RA + depression (7.0%), and 58 had RA + CVD + depression (0.5%). All patients with CVD and/or depression incurred significantly higher followup costs compared with patients with RA alone. Adjusted annual mean healthcare costs were highest for RA + CVD (US$14,145), followed by RA + CVD + depression ($13,513), RA + depression ($12,225), and RA alone ($11,404). Although patients with CVD and/or depression had a greater rate of RA-related hospitalization, adjusted RA-related healthcare costs did not reflect any statistically significant differences as compared to the RA-alone cohort.Conclusion.A significant proportion (13.4%) of patients with prevalent RA have comorbid CVD and/or depression. The presence of these conditions significantly affects annual healthcare costs as well as specific RA-related utilization patterns.

scholarly journals The correlation between lipoprotein(a) and coronary atherosclerotic lesion is stronger than LDL-C, when LDL-C is less than 104 mg/dL

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chuang Li ◽  
Qiwen Chen ◽  
Mei Zhang ◽  
Yin Liu ◽  
Yushun Chu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Clinical Characteristics ◽  
Atherosclerotic Lesion ◽  
Atherosclerotic Cardiovascular Disease ◽  
Spearman Correlation ◽  
Gensini Score ◽  
Logistic Regressions ◽  
Coronary Atherosclerotic Lesion

Abstract Background Lp(a) and LDL-C are both risk factors of atherosclerotic cardiovascular disease (ASCVD). But there was a contradiction point in LDL-C and Lp(a) control. The appropriate level of LDL-C and Lp(a) in the prevention of ASCVD is still pending. Objective To investigate the correlation of Lp(a) and coronary atherosclerotic lesion, and find out the balance point in LDL-C and Lp(a) control. Method 3449 patients were divided to coronary atherosclerotic heart disease (CAHD) Group and Non-CAHD Group based on the result of coronary angiography. The clinical characteristics were compared, and Logistic regressions were applied to find the CAHD risk factors in total, High-LDL-C Group (LDL-C ≥ 100 mg/dL) and Low-LDL-C Group (LDL-C < 100 mg/dL) patients. Spearman correlation analysis of Lp(a), LDL-C and Gensini Score was performed in patients with different LDL-C concentration. Results Except male and diabetes, the traditional CAHD risk factors were well matched between two groups. But triglyceride, LDL-C and Lp(a) were higher, HDL-C and Apo-A1 were lower in CAHD group (2771). In the Logistic regression analysis, diabetes, LDL-C and Lp(a) are risk factors of CAHD in all patients, while in High-LDL-C Group, they were age, LDL-C, non-HDL-C and ApoB, in Low-LDL-C Group, they were age, Lp(a) and ApoB. Lp(a) correlated with Gensini with coefficient r = 0.41 in all patients, 0.67 in Low-LDL-C Group and 0.32 in High-LDL-C Group. The coefficient r for Lp(a) and Gensini decreased, while the r for LDL-C and Gensini increased with LDL-C concentration increasing. The two fitted lines of rs crossed at LDL-C = 2.7 mmol/L (104 mg/dL). Conclusion Lp(a) was the risk factor of CAHD in patients with LDL-C < 100 mg/dL. The correlation between Lp(a) and Gensini was influenced by LDL-C concentration, and the correlation was stronger than LDL-C when LDL-C < 104 mg/dl.

Prevalence, Biochemical and Clinical Characteristics of Resistant Hypertension

2018 ◽  
Vol 69 (10) ◽  
pp. 2845-2849
Author(s):  
Daniela Gurgus ◽  
Elena Ardeleanu ◽  
Carmen Gadau ◽  
Roxana Folescu ◽  
Ioan Tilea ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Resistant Hypertension ◽  
Clinical Characteristics ◽  
Salt Intake ◽  
Target Organ Damage ◽  
Multivariate Logistic Regression Analysis ◽  
Organ Damage ◽  
Left Ventricular ◽  
High Salt Intake

The objectives of the present study were to evaluate the prevalence of resistant hypertension (RH) in primary care setting and to analyse its biochemical and clinical characteristics. After 3 months of treatment and evaluation, 721 (14.01%) of 5,146 patients with hypertension did not reach target office blood pressure of [ 140/90 mmHg. After exclusion of �white-coat effect� with ambulatory blood pressure, of secondary and pseudo- resistant hypertension, prevalence of RH was 6.74%. Lifestyle factors associated with RH were physical inactivity, obesity, high salt intake, smoking and excessive alcohol ingestion. Compared to controlled hypertension, RH patients presented higher incidence of family history of cardiovascular disease (38.90% vs 25.94%), diabetes mellitus (34.87% vs 19.01%), impaired fasting glucose (21.91% vs 19.07%), target organ damage (29.1% vs 15.95%), and cardiovascular disease (27.09% vs 17.06%). Dyslipidaemia (52.90% vs 42.03%), fasting plasma glucose (116.10�38.9 vs 107.80�37.2), HbA1c (6.41�1.42 vs 5.96�0.94), serum creatinine (1.09�0.27 vs 1.03�0.24) and microalbuminuria (21.90% vs 10.95%) were significantly higher in RH. Predictors of RH, determined by a multivariate logistic regression analysis were left ventricular hypertrophy (OD 2.14, 95% CI 1.32-3.69), renal impairment expressed as eGFR [ 60 ml/min/1.73m2 (OD 1.62, 95% CI 1.21-2.21) and the presence of cardiovascular disease (OD 1.48, 95% CI 1.02-2.16).

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