Publications by authors named "Stephen A Freitas"
To determine the all-cause mortality of life insurance applicants who have a bundle branch block. Bundle branch block is an electrocardiographic pattern that has variable prognostic implications. Research studies have shown that both left and right bundle branch block are associated with increased mortality among cases that have heart disease.
View Article and Find Full Text PDFObjective: -To determine the all-cause mortality of life insurance applicants having a family history of coronary artery disease (CAD) before age 60.
Background: -Epidemiological studies have shown that a family history of premature CAD is an independent risk factor for CAD events. The strength of the association between family history and CAD is greatest with earlier age of presentation of CAD in the family member and when multiple family members are affected.
Objective: - To determine the all-cause mortality of life insurance applicants diagnosed with prostate cancer currently or at some time in the past.
Background: - Prostate cancer is common and a frequent cause of cancer death. Both the frequency of prostate cancer in men and its propensity for causing premature mortality require insurance company medical directors and underwriters to have a good understanding of prostate cancer-related mortality trends, patterns, and outcomes in the insured population.
Breast cancer is the most commonly diagnosed cancer worldwide. Breast cancer is also the second leading cause of cancer death among women in the United States after lung cancer with over 40,000 breast cancer deaths occurring each year. The purpose of this research was to determine the all-cause mortality of applicants diagnosed with breast cancer currently or at some time in the past.
View Article and Find Full Text PDFArticle Synopsis
- A study examined data from US life insurance applicants with diabetes or hyperglycemia between 2007 and 2014, matched to death records to assess mortality rates.
- A/E mortality ratios were significantly higher in applicants using insulin, showing a ratio of 3.15 for the full cohort, indicating higher mortality than expected.
- Mortality ratios varied by age and BMI, with lower ratios in overweight and obese individuals, and improved outcomes noted with longer durations since the initial life insurance application.