Discontinuation of angiotensin-converting enzyme inhibitors: a cohort study

Wong, Martin C. S.; Lau, Rebecca; Jiang, Jianfa; Griffiths, Siân

doi:10.1111/j.1365-2710.2011.01300.x

Cited by 12 publications

(9 citation statements)

References 44 publications

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“…After multivariate correction, age was still significant a factor associated with higher mortality. Apart from the logic increase in mortality with increasing age, another contributing factor might be the overall lower compliance in older patients [17,18]. Whether closer follow-up or better patient education might improve compliance and therefore decrease mortality requires further research.…”

Section: Discussionmentioning

confidence: 95%

Mortality in non-cystic fibrosis bronchiectasis: A prospective cohort analysis

Goeminne¹,

Nawrot

Ruttens³

et al. 2014

Respiratory Medicine

162

133

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Section: Discussionmentioning

confidence: 95%

Mortality in non-cystic fibrosis bronchiectasis: A prospective cohort analysis

Goeminne¹,

Nawrot

Ruttens³

et al. 2014

Respiratory Medicine

162

133

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“…Data regarding social background, degree of education, physical exercise, diet, alcohol consumption and smoking history, which may all contribute to explaining the gender gap in control of CVD risk factors, were not available. Lack of information on medication dispensing, dosage and adherence further limits speculation on the role of treatment differences, although women are generally more compliant than men with regard to taking medication [15,43,44]. The fact that the male/female ratio in the present cohort (57:43) is higher than that of diabetic subjects from the general population in Italy [45,46], but similar to that reported from a coeval survey in the secondary care setting [47], suggests a selection bias for referral to specialists.…”

Section: Discussionmentioning

confidence: 99%

Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multicentre study

et al. 2013

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Penno G, Solini A,. Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multi-centre study. J Intern Med 2013; 274: 176-191. Objectives. Poorer control of risk factors for cardio-vascular disease (CVD) has been reported in diabetic women, as compared with diabetic men. It has been proposed that this finding is due to gender disparities in treatment intensity. We investigated this hypothesis in a large contemporary cohort of subjects with type 2 diabetes. Design. Observational, cross-sectional study. Subjects and setting. Consecutive patients with type 2 diabetes from the Renal Insufficiency And Cardio-vascular Events (RIACE) Italian multicentre study (n = 15 773), attending 19 hospital-based diabetes clinics in 2007-2008. Main outcome measures. Traditional CVD risk factors, macro-and microvascular complications and current glucose-, lipid-and blood pressure (BP)-lowering treatments were assessed. Results. Although CVD was more prevalent in men, women showed a less favourable CVD risk profile and worse performance in achieving treatment targets for haemoglobin A 1c , LDL, HDL and non-HDL cholesterol, systolic blood pressure (BP) and in particular obesity [body mass index (BMI) and waist circumference], but not for triglycerides and diastolic BP. However, women were more frequently receiving pharmacological treatment for hypertension and to a lesser extent hyperglyca-emia and dyslipidaemia than men, and female gender remained an independent predictor of unmet therapeutic targets after adjustment for confounders such as treatments, BMI, duration of diabetes and, except for the systolic BP goal, age. Conclusions. In women with type 2 diabetes from the RIACE cohort, a more adverse CVD risk profile and a higher likelihood of failing treatment targets, compared with men, were not associated with treatment differences. This suggests that factors other than gender disparities in treatment intensity are responsible.

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“…Similarly, in some studies in the literature, adherence to pharmacological treatment is not associated with socio-demographic characteristics. 7,21,22,26 On the other hand, some studies have indicated that sociodemographic characteristics such as age, gender, level of education, perceived income status are related to adherence to the pharmacological treatment. 3,21,26 For example, while adherence to treatment increases in some studies as the age increases it decreases in other studies.…”

Section: Discussionmentioning

confidence: 99%

“…7,21,22,26 On the other hand, some studies have indicated that sociodemographic characteristics such as age, gender, level of education, perceived income status are related to adherence to the pharmacological treatment. 3,21,26 For example, while adherence to treatment increases in some studies as the age increases it decreases in other studies. 8,23,27 In these studies, an increase or decrease in the rate of adherence to the treatment with age may be due to the presence of comorbid chronic diseases, perceived health status, or differences in giving or receiving health care.…”

Section: Discussionmentioning

confidence: 99%

Hypertensive patients’ adherence to pharmacological and non-pharmacological treatment methods, in Turkey

Selçuk

Çevik

Mercan

et al. 2017

Int J Community Med Public Health

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Background: The present study was aimed at determining hypertensive patients’ adherence to pharmacological and non-pharmacological treatment methods and factors affecting their adherence. Methods: This cross-sectional study was conducted with 418 patients aged 18 and over who met the inclusion criteria. Adherence to pharmacological and some non-pharmacological treatment methods is the dependent variable of the study. Data were collected using the personal information form, Morisky medication adherence scale. In the analysis, descriptive statistics, the chi square test, and logistic regression analysis were used. The significance level was accepted as p<0.05. Results: The rate of adherence to the pharmacological treatment was 78.2%. The rates of adherence to smoking cessation, diet and physical activity were 49.0%, 55.7% and 20.6% respectively. Age, employment status and perceived health status were associated with the adherence to smoking cessation; perceived income, resort to complementary alternative treatment methods and having regular controls (check-ups) were related to the adherence to the diet, and gender and perceived economic status were related to the adherence to physical activities (p<0.05). Conclusions: While approximately four out of five patients complied with the pharmacological treatment, rates of adherence to non-pharmacological treatment methods were low. Multidisciplinary intervention programs should be planned in order to regularly monitor patients at family health centers, to assess their adherence to treatment modalities and to promote adherence.

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Discontinuation of angiotensin-converting enzyme inhibitors: a cohort study

Cited by 12 publications

References 44 publications

Mortality in non-cystic fibrosis bronchiectasis: A prospective cohort analysis

Mortality in non-cystic fibrosis bronchiectasis: A prospective cohort analysis

Gender differences in cardiovascular disease risk factors, treatments and complications in patients with type 2 diabetes: the RIACE Italian multicentre study

Hypertensive patients’ adherence to pharmacological and non-pharmacological treatment methods, in Turkey

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