Chapter-08 History of Heparin and Cardiovascular Disease Protection

Author(s):  
Banerjee AK
2020 ◽  
Vol 18 ◽  
Author(s):  
Akshaya Srikanth Bhagavathula ◽  
Abdullah Shehab ◽  
Anhar Ullah ◽  
Jamal Rahmani

Background: The increasing incidence of cardiovascular disease (CVD) threatens the Middle Eastern population. Several epidemiological studies have assessed CVD and its risk factors in terms of the primary prevention of CVD in the Middle East. Therefore, summarizing the information from these studies is essential. Aim: We conducted a systematic review to assess the prevalence of CVD and its major risk factors among Middle Eastern adults based on the literature published between January 1, 2012 and December 31, 2018 and carried out a meta-analysis. Methods: We searched electronic databases such as PubMed/Medline, ScienceDirect, Embase and Google Scholar to identify literature published from January 1, 2012 to December 31, 2018. All the original articles that investigated the prevalence of CVD and reported at least one of the following factors were included: hypertension, diabetes, dyslipidaemia, smoking and family history of CVD. To summarize CVD prevalence, we performed a random-effects meta-analysis. Results: A total of 41 potentially relevant articles were included, and 32 were included in the meta-analysis (n=191,979). The overall prevalence of CVD was 10.1% (95% confidence interval (CI): 7.1-14.3%, p<0.001) in the Middle East. A high prevalence of CVD risk factors, such as dyslipidaemia (43.3%; 95% CI: 21.5-68%), hypertension (26.2%; 95% CI: 19.6-34%) and diabetes (16%; 95% CI: 9.9-24.8%), was observed. The prevalence rates of other risk factors, such as smoking (12.4%; 95% CI: 7.7-19.4%) and family history of CVD (18.7%; 95% CI: 15.4-22.5%), were also high. Conclusion: The prevalence of CVD is high (10.1%) in the Middle East. The burden of dyslipidaemia (43.3%) in this region is twice as high as that of hypertension (26.2%) and diabetes mellitus (16%). Multifaceted interventions are urgently needed for the primary prevention of CVD in this region.


Author(s):  
Jawad H Butt ◽  
Emil L Fosbøl ◽  
Thomas A Gerds ◽  
Charlotte Andersson ◽  
Kristian Kragholm ◽  
...  

Abstract Background On 13 March 2020, the Danish authorities imposed extensive nationwide lockdown measures to prevent the spread of the coronavirus disease 2019 (COVID-19) and reallocated limited healthcare resources. We investigated mortality rates, overall and according to location, in patients with established cardiovascular disease before, during, and after these lockdown measures. Methods and results Using Danish nationwide registries, we identified a dynamic cohort comprising all Danish citizens with cardiovascular disease (i.e. a history of ischaemic heart disease, ischaemic stroke, heart failure, atrial fibrillation, or peripheral artery disease) alive on 2 January 2019 and 2020. The cohort was followed from 2 January 2019/2020 until death or 16/15 October 2019/2020. The cohort comprised 340 392 and 347 136 patients with cardiovascular disease in 2019 and 2020, respectively. The overall, in-hospital, and out-of-hospital mortality rate in 2020 before lockdown was significantly lower compared with the same period in 2019 [adjusted incidence rate ratio (IRR) 0.91, 95% confidence interval (CI) CI 0.87–0.95; IRR 0.95, 95% CI 0.89–1.02; and IRR 0.87, 95% CI 0.83–0.93, respectively]. The overall mortality rate during and after lockdown was not significantly different compared with the same period in 2019 (IRR 0.99, 95% CI 0.97–1.02). However, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during and after lockdown compared with the same period in 2019 (in-hospital, IRR 0.92, 95% CI 0.88–0.96; out-of-hospital, IRR 1.04, 95% CI1.01–1.08). These trends were consistent irrespective of sex and age. Conclusions Among patients with established cardiovascular disease, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during lockdown compared with the same period in the preceding year, irrespective of age and sex.


Author(s):  
Etienne Meriglier ◽  
Claire Rivoisy ◽  
Mojgan Hessamfar ◽  
Noelle Bernard ◽  
Ines Aureau ◽  
...  

Abstract Background Combination therapy with hydroxychloroquine and darunavir/ritonavir or lopinavir/ritonavir has been suggested as an approach to improve the outcome of patients with moderate/severe COVID-19 infection. Objectives To examine the safety of combination therapy with hydroxychloroquine and darunavir/ritonavir or lopinavir/ritonavir. Methods This was an observational cohort study of patients hospitalized for COVID-19 pneumonia treated with hydroxychloroquine and darunavir/ritonavir or lopinavir/ritonavir. Clinical evaluations, electrocardiograms and the pharmacokinetics of hydroxychloroquine, darunavir and lopinavir were examined according to clinical practice and guidelines. Results Twenty-one patients received hydroxychloroquine with lopinavir/ritonavir (median age 68 years; 10 males) and 25 received hydroxychloroquine with darunavir/ritonavir (median age 71 years; 15 males). During treatment, eight patients (17.4%) developed ECG abnormalities. Ten patients discontinued treatment, including seven for ECG abnormalities a median of 5 (range 2–6) days after starting treatment. All ECG abnormalities reversed 1–2 days after interrupting treatment. Four patients died within 14 days. ECG abnormalities were significantly associated with age over 70 years, coexisting conditions (such as hypertension, chronic cardiovascular disease and kidney failure) and initial potential drug interactions, but not with the hydroxychloroquine concentration. Conclusions Of the patients with COVID-19 who received hydroxychloroquine with lopinavir or darunavir, 17% had ECG abnormalities, mainly related to age or in those with a history of cardiovascular disease.


2020 ◽  
Vol 38 (9) ◽  
pp. 1737-1744
Author(s):  
Maria Grazia Radaelli ◽  
Stefano Ciardullo ◽  
Silvia Perra ◽  
Rosa Cannistraci ◽  
Eleonora Bianconi ◽  
...  

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Heesun Lee ◽  
Chang-Hwan Yoon ◽  
Hyun-Young Park ◽  
Hea Young Lee ◽  
Dong-Ju Choi ◽  
...  

Background: Gestational hypertensive disorders and diabetes are well-known to increase the risk of cardiovascular disease (CVD) and diabetes later in life. However, there were few researches to evaluate the association between family history of cardiovascular disease and the occurrence of pregnancy-related medical disorders. We aimed to investigate whether family history of CVD could predict gestational hypertensive disorders and diabetes. Methods: The Korean Nurses’ Survey was conducted through web-based computer-assisted self-administered questionnaires, which were compiled by consultation to cardiologists, gynecologists, and statisticians, from October to December 2011. We enrolled a total of 9,989 female registered nurses who could answer reliably the questionnaires based on their medical knowledge. Multivariate logistic regression analysis was used to clarify the effect of family history of CVD on pregnancy-related medical disorders. Result: In this survey, 3900 subjects had more than 1 pregnancy. Among them, 247 interviewees (6.3%) had experienced hypertensive disorders during pregnancy, which included preeclampsia (n = 160, 4.1%) and transient hypertension (n = 144, 3.7%), and 120 (3.1%) had experienced gestational diabetes. And, 2872 subjects (73.6%) answered that they had at least 1 family history of CVD. Having family history of CVD increased the risk of gestational hypertensive disorders (adjusted RR 1.51, 95% CI 1.08-2.11, p = 0.015) and diabetes (adjusted RR 2.40, 95% CI 1.38-4.17, p = 0.002). In particular, family history of hypertension was significantly associated with gestational hypertensive disorders (adjusted RR 2.00, 95% CI 1.47-2.50, p <0.001), and diabetes was highly related with gestational diabetes (adjusted RR 3.37, 95% CI 2.35-4.83, p <0.001), respectively. Furthermore, this relationship was observed regardless of maternal parity. Conclusion: Family history of CVD was a significant predictor of pregnancy-related medical disorders in this survey. Meticulous history taking for family history of CVD can provide the risk of gestational hypertensive disease and diabetes. Thus, special attention should be paid to women with family history of CVD during pregnancy.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.


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