Cardiovascular risk assessment in hypertensive patients

10-Year Risk for Cardiovascular Disease Associated with COMISA (Co-Morbid Insomnia and Sleep Apnea) in Hypertensive Subjects

Due to the few studies available, this study aimed to investigate the 10-year risk for cardiovascular disease (CVD) associated with COMISA (co-morbid insomnia and sleep apnea) in hypertensive subjects. Clinical data of 1009 hypertensive subjects extracted from the Sleep Laboratory database were analyzed. Framingham Risk Score ≥ 10% was used as a cut-off to identify hypertensive subjects with high 10-year risk for CVD. The association between 10-year risk for CVD and COMISA was investigated using logistic regression analyses. 65.3% of hypertensive subjects from our sample presented a high 10-year risk for CVD. After controlling for major confounding factors, multivariate logistic regression analyses demonstrated that unlike its components present separately, COMISA was significantly associated with high 10-year risk for CVD in hypertensive subjects (OR 1.88, 95% CI 1.01-3.51). In this study, we have demonstrated that the negative synergy between obstructive sleep apnea syndrome and insomnia disorder seems to play a central role in the 10-year risk for CVD in hypertensive subjects, which seems to indicate that the establishment of a systematic research and an adapted treatment of COMISA could open new perspectives to promote a better cardiovascular outcome in this specific subgroup of patients.

Risco cardiovascular aumentado e o papel da síndrome metabólica em idosos hipertensos

RESUMO Objetivo avaliar a síndrome metabólica e o risco cardiovascular de idosos hipertensos atendidos na atenção primária. Métodos estudo transversal realizado com 154 idosos hipertensos de uma Unidade Básica de Saúde do Distrito Federal. Um instrumento estruturado investigou o perfil dos idosos. Para a classificação da síndrome metabólica, consideraram-se os critérios propostos pela National Cholesterol Education Program – Adult Treatment Panel III. Para análise do risco cardiovascular, utilizou-se o escore de risco de Framingham. Foi realizada análise estatística e inferencial com a utilização da ANOVA, teste qui-quadrado e exato de Fisher, além da odds ratio e seu intervalo de confiança de 95% para estimar o risco cardiovascular entre os grupos. Resultados 64,9% dos idosos hipertensos eram obesos. Síndrome metabólica foi evidenciada em 70,8%. Observou-se que 27,2% apresentaram baixo, 46,8% moderado e 26,0% elevado risco cardiovascular, sendo que o sexo feminino e a idade avançada influenciaram negativamente o risco. Idosos com síndrome metabólica apresentaram 7,19 vezes mais chances de terem elevado risco cardiovascular. Considerações finais e implicações para a prática os idosos hipertensos apresentaram uma elevada prevalência de síndrome metabólica que aumentou significativamente o risco cardiovascular. Este resultado possibilita um melhor planejamento da assistência de enfermagem pelo enfermeiro da atenção primária à saúde.

Cardiovascular Risk Prediction, Glycemic Control, and Determinants in Diabetic and Hypertensive Patients in Massawa Hospital, Eritrea: Cross-Sectional Study on 600 Subjects

BACKGROUND

Hypertension and diabetes are key determinants of cardiovascular risks. The objective of this study was to calculate 10-year incidence of cardiovascular risk, determine cardiovascular risk factors, and evaluate how diabetes and hypertension are controlled in patients in Massawa Hospital, Eritrea.

METHODS

This was a hospital-based cross-sectional study using census sampling. A checklist and interview were used as data-collection tool from October 10 to November 20, 2020. Written consent was obtained from each study participant before starting the study. Descriptive statistics were wasused, and results are presented in percentages in tables, p<0.05 was considered significant.

RESULTS

A total of 600 patients were enrolled in the study, dominated by the Tigrigna (58.7%) and Tigre (26.7%) ethnic groups. About half the patients (58.8%) had a body-mass index of 18-25 kg/m², with abdominal circumference of <95 cm (74%). Most (93.5%) patients had <10% risk of cardiovascular complications in the coming 10 years. Age showed significant association with hypertension, diabetes mellitus, cardiovascular risk, and poor glycemic and blood-pressure control (p<0.001). Body-mass index, abdominal obesity, and history of stroke were associated with hypertension and diabetes mellitus (p<0.001). Moreover, smoking, hypertension, and monthly income were associated with higher cardiovascular risk (p<0.001). In addition, hypertension and abdominal obesity were associated with glycemic control (p<0.001), and blood-pressure control was significantly associated with diabetes and hypertension (p<0.001).

CONCLUSION

Age and hypertension were associated with diabetes, cardiovascular risk and poor glycemic control, and smoking, abdominal obesity, and monthly income also significant associations with higher cardiovascular risk and glycemic control. Cessation and adjustment of modifiable factors, such as smoking, hypertension, and regular exercise are highly recommended.

Cardiovascular risk factors associated with frailty syndrome among hospitalized elderly people: a cross-sectional study

CONTEXT AND OBJECTIVE:

Identification of frailty syndrome and its relationship with cardiovascular risk factors among hospitalized elderly people is important, since this may contribute towards broadening of knowledge regarding this association within tertiary-level services. This study aimed to evaluate the cardiovascular risk factors associated with frailty syndrome among hospitalized elderly people.

DESIGN AND SETTING:

Observational cross-sectional study in a public teaching hospital.

METHODS:

The participants were elderly patients admitted to clinical and surgical wards. The cardiovascular risk factors assessed were: body mass index (BMI), waist circumference, systemic arterial hypertension (SAH), blood glucose, total cholesterol, high-density lipoproteins (HDL), low-density lipoproteins (LDL) and triglycerides. To identify frailty syndrome, the method proposed by Fried was used. The data were analyzed through descriptive statistics, chi-square test (P < 0.10) and multinomial logistic regression (P < 0.05).

RESULTS:

A total of 205 individuals were evaluated. It was found that 26.3% (n = 54) of the elderly people were frail, 51.7% (n = 106) were pre-frail and 22% (n = 45) were non-frail. The preliminary bivariate analysis (P < 0.10) for the regression model showed that frailty was associated with BMI (P = 0.016), LDL cholesterol (P = 0.028) and triglycerides (P = 0.093). However, in the final multivariate model, only overweight remained associated with the pre-frail condition (odds ratio, OR = 0.44; 95% confidence interval, CI = 0.20-0.98; P = 0.045).

CONCLUSION:

States of frailty were highly present in the hospital environment. The pre-frail condition was inversely associated with overweight.