Data collected from your recent prescription records and diagnostic testing history (results, diagnosis codes and such) and biographical information is analyzed by sophisticated mathematical and statistical methods developed by Quest Diagnostics and MIT to determine the percentage of similar people who have been diagnosed with the condition in question. A statistical Confidence Level is shown for each Potential Condition, as well as the factors used to determine the Confidence Level. It will even indicate if that Potential Condition may have not been identified yet by your healthcare provider. Note that it is possible that your healthcare provider may have identified the condition, but the accessed records have not been updated to reflect that. Records are searched for the last seven years of activity.
A “TRUE” answer in this column indicates that the related Potential Condition has been diagnosed and recorded in your accessed records by your healthcare provider. A “FALSE” answer means that no such recording was found. Potential Conditions with a “FALSE” answer should be given special attention.
Prescription drugs rarely have an ICD-10 Code in the electronic record, and the presence of this code is key to the PROVIDER GENERATED indication. It is also important to note that the existence of a prescription drug does not necessarily match the identified Potential Condition. For example, an antibiotic may be prescribed for a general infection, while the scientific analysis may indicate an issue much more specific. Your healthcare provider should review the listed Contributing Factors when making a diagnosis.
Yes, that is possible but not likely. It is more likely that not all your records are part of the databases (such as cash Rx purchases or labs performed outside the Quest and LabCorp networks). The prescription records include over 90% of all those prescribed in the country since 2012. The diagnostic test results are the combined records of the country's two largest providers of such services (Quest Diagnostics and LabCorp) that provide lab services to the vast majority of physicians, hospitals and other healthcare providers. It also includes data obtained from life insurance paramedical exams performed by ExamOne.
If no records can be found from these extensive data sources, LongevityQuest recommends having a brief ExamOne paramed for blood and urine collection and physical measurements (height, weight, blood pressure, and pulse rate). Once processed through the lab, these new records are added to the extensive databases and can be obtained by LongevityQuest. Contact your plan sponsor for more information, or send a request to firstname.lastname@example.org.
Using advanced actuarial science and new technologies designed for use in the mortality products industry, LongevityQuest's patented process calculates your custom lifespan probabilities and compares that to the Scientific Best and Bottom 1% (using the same methodology) and the Population Median as published by the CDC.
LongevityQuest has been granted a patent by the U.S. Patent and Trademark Office (Patent Number 10,580,077), which means the innovative myLQRank can only be obtained from LongevityQuest and its affiliates.
It may be possible to improve your relative rank by discussing the Potential Conditions with your physician. Working with your healthcare provider is the best way to chart a course of action to identify and address what may be causing these Potential Conditions or markers to indicate a negative impact on your longevity. As you and your doctor work together, obtaining an updated Analysis periodically will help you monitor your progress.
BMI stands for “body mass index”. According to the CDC, BMI is an inexpensive and easy screening method for weight category—underweight, healthy weight, overweight, and obesity. You can calculate BMI by dividing weight in pounds by height in inches squared and multiplying that result by a conversion factor of 703.
Example: Weight = 150 lbs, Height = 5'5″ (65″)
Calculation: [150 ÷ (65)2] x 703 = 24.96
A low rank does not mean you will die soon. It means that your life expectancy probability from your Analysis places you at a higher risk of premature death as compared to the Population Median and the Scientific Best. At the same time, if your calculated rank is significantly lower that you would like, we strongly recommend that you engage with your healthcare provider to chart a course of action to address your concerns.
We strongly encourage you to share the Analysis with your healthcare provider as soon as possible to design a plan to help improve your results. Periodic Analysis reports can help monitor progress as you work with your healthcare provider.
Absolutely not, and no more so than if your relatives all died early does it mean you will die early. Family history may sometimes be a general indicator all things else being equal. But today many want to live longer and healthier and with help from your healthcare professional you can build a plan to do so. The Analysis is a great tool to monitor how well you are doing. Rather than making assumptions based upon how long your parents or grandparents lived, or how you feel today, doesn't it make more sense to have your longevity scientifically calculated?
Many times, longevity can be disconnected from whether you feel good or feel bad. You may feel very bad but your condition is not expected to reduce your lifespan (such as a sinus infection). Conversely, you may feel very good but have Potential Conditions that may not have been previously identified.
That depends upon a number of factors, such as age and your current myLQRank standing. Those younger or those with acceptable myLQRank scores may want to repeat every 2 or 3 years. Older individuals or those with low or unacceptable myLQRank scores may want to repeat every 6 to 12 months. Your employer/plan sponsor may provide periodic reviews.
The field of genetic research and testing has expanded rapidly in recent years (due, in no small part, to the Human Genome Project), with significant debate over its practical application in diagnostic medicine, longevity studies and mortality science. While it may be argued that certain genetic influences may already be observable in serum and urine-based markers, genetic makeup is not involved in the Analysis process. We remain attentive to advances in how genetic testing can accurately help in longevity assessment.
Yes. The Analysis is not valid for those under 18, when you have been diagnosed with a terminal disease, when there are known mental health (such as suicidal tendencies) and non-medical lifestyle risks (such as skydiving), as the complex nature of these issues and their impact on mortality are beyond the scope of the Analysis.
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You can send questions to email@example.com. We will respond promptly, generally within one business day.