STUDY 3: PROPENSITY SCORE MATCHING AND TIME-VARYING CONFOUNDING IN A STUDY OF STATINS AND THE RISK OF VENOUS THROMBOEMBOLISM
Aims
• To evaluate the association between statin use and the risk of VTE controlling for time-varying confounding.
• To examine whether this association differs by body mass index (BMI)
• To examine various characteristics of exposure including type of statin, dose of statin, and recency/duration of statin use in relation to VTE risk
Study design
This study will be a population-based cohort study.
Study population
The study population will consist of all adult patients aged 40-79 years during the period 1995-2015 in the CPRD. I will exclude all patients with a history of cancer (non-melanoma), VTE, cerebrovascular disease, coronary heart disease, heart failure, coagulopathies, vasculitis, and chronic kidney disease prior to cohort entry. Participants will be required to have at least one year of recorded history in the database before the study entry date. The date of entry into the cohort (start date) will be defined as the last of the date patients became 40 years old or 1995, and registered in the CPRD).
Because dyslipidemia covers a broad range of lipid abnormalities and statins are widely prescribed to a broad spectrum of people (from relatively healthy, middle age to the older, very sick population with numerous comorbidities) controlling for confounding by indication in this study will be a big challenge. To mitigate this, an option will be
[16] This trial played a critical role in the creation of the National Cholesterol Education Program (NCEP) in 1985 by the National Heart, Lung, and Blood Institute of the National Institute of Health. The objective was to educate the general public and medical community about the need to identify and treat high blood cholesterol to decrease CVD risk factors. [17] The adult treatment panel (ATP) was formed from a panel of experts from major medical and health professional associations. The first ATP guideline, deemed ATP-1, was published in 1988 to outline a strategy for primary prevention of CVD. These guidelines were aimed at individuals with a high LDL concentration (>160 mg/dL) or borderline high (130-159 mg/dL) with 2+ risk factors.
The data collected from men was long term spanning over 10 years of collected monitoring of
Healthcare maintenance. The patient has not had a physical in years. We will set her up to come back for this at next appointment. She is not had cholesterol done for quite some time. She does continue on TriCor for her hypertriglyceridemia. We will plan on doing blood work to include a vitamin D, CMP, magnesium, lipid panel, hemoglobin A1c, prior to her appointment in three months. She is seeing Christine Wasilewski, MD for her B12 deficiency and anemia. I will not therefore order test for
In two separate presentations, Dr. Jonny Bowden and Dr. Stephen Sinatra discuss how and why they disagree with the concept that reducing cholesterol prevents heart disease. Their arguments boast that the true basis of heart disease consists of four key aspects, which include inflammation, oxidation, sugar, and stress. Both doctors assert that the actual disaster is the obsession with cholesterol which has shaped an industry that reaps over thirty billion dollars per year in statin pharmaceutical sales. Both Dr. Bowden and Dr. Sinatra claim that, cholesterol is not the source of heart disease.
In 2012, the phase 1 trials were published in The Journal of the American College of Cardiology. The phase 1 trials had two arms. Phase 1a were healthy subjects and phase 1b has subjects with hypercholestemia receiving stable statin therapy. The aim of this study was to evaluate the safety, tolerability and effects of AMG 145. Phase 1a had 56 subjects at 1 U.S. center, who were randomized to either get a single dose of placebo, 7mg to 420mg of AMG 145 subcutaneously or 21mg or 420mg via a one hour intravenous infusion. Percentagewise 69% of the subjects in the AMG 145 group experienced a treatment-emergent adverse event compared to 71% of the subjects in the placebo group. There was zero discontinuation due to adverse events in this arm of
It is quite interesting that the occurrence of comorbidity is also a scientific interest because of how
We constructed 10-year risk assessment charts of CVD incidence using important risk factors. Such a user-friendly chart included SBP, WHR, diabetes, smoking status, CVD family history and TC. SBP was grouped into four classes: (1) <120, (2) 120-139, (3) 140-159, and (4) ≥160 mmHg. These cutoff points were based on National Cholesterol Education Program’s Adult Treatment Panel III (ATP III). TC was categorized into five groups: (1) <150, (2) 150-200, (3) 200-250, (4) 250-300 and (5) ≥300 mg/dL. High waist-to-hip ratio (WHR) was defined as WHR ≥ 0.80 and 0.95 in women and men, respectively. When FBS ≥126 mg/dL or the 2h post-load plasma glucose ≥200 mg/dL or the patient was receiving anti-diabetic agents, subjects were diagnosed with diabetes mellitus. The smoking variable comprised current smokers.
Statins has multiple organ effects by affecting the liver, musculoskeletal system and the nervous system, controlled clinical trials with randomized blinded assignment of treatment groups to patients treated with statins and placebo was conducted, hence valid data about adverse effects of statins were obtained (doc1.pdf-[8] ). The Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) Investigators conducted a study in which patients with history of transient ischemic attack or thrombotic stroke were allocated into two groups, one treated with statin and the other group with placebo, after conducting this study
Those populations were suffering from chronic medical conditions such as rates of diabetes, hypertension, prior myocardial infarction, and persistent asthma positive for
The Framingham Heart Study was the first longitudinal cohort study to try to elucidate the etiology and determinants of CVDs, and it’s currently the longest running medical study in the world, celebrating it’s 68 years in 2016. It is in it’s third generation now (grandchildren of the original cohort), and although it’s population is mainly of white European descent, the results were fundamental in understanding the risk factors of CVDs. We recognize the need to know if the results of this study, and its risk estimation module, could be applied to the Lebanese population, since no major comparison study was done before in our country.
Observational epidemiology is a study of disease where “the investigator ascertains exposure and outcome without assignment to an intervention” Observational studies have made important contributions to the knowledge and understanding of health-related conditions. These studies usually involve a large group of individuals as in a community. The purpose of this type of study is to determine the
a. The study was conducted in accordance with the ‘Recommendations Guiding Physicians in Biomedical Research Involving Human Subjects’ in the 1989 Declaration of Helsinki.
Variables that at the same time influence both the participation in MGNREGA and the outcome which in turn, are unaffected by treatment have been included in the analysis. Propensity score matching analysis provides better estimates when one can retain maximum number of covariates which will affect the treatment, but treatment should not affect the selected
The primary principle is to detect high cholesterol early in this population of patients. Early proper treatment could result in, evading the large expense of a massive MI.
The propensity score matching model is a method used to evaluate the average effect of a programme on participants’ outcome, conditional on the pre-participation characteristics of such participants (Bryson, Dorsett, & Purdon, 2002). The PSM technique has been applied widely in a variety of fields in the program evaluation (Heinrich et al., 2010).The model is appropriate for addressing the problem of selection bias (Wooldridge, 2002) in determining the difference between the participant’s outcome with (in this case adoption of weather index insurance) and without (non-adoption of the weather index insurance) programme (Pufahl & Weiss, 2008). Pufahl & Weiss also note that participants and non-participants