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Covid 19 Testing. The good, bad and unknown.

One of the most talked about issues around Covid 19 is testing.  Everyone seems to want a test.  However, little is said about the details of the tests, such as kinds of tests, good/bad tests and what do you do with the results.  The answers to these questions will help answer the questions about how important the tests are to reopening of businesses of keeping a business open.

A reliable, fast diagnostic needs to be established and available to manage the reopening of businesses.  The ability to identify infections before they become clusters, or clusters before they become outbreaks will be significant in how successful we will be in reopening businesses.

The tests.  There are two kinds of tests being talked about in the news and the reporting does not always make it clear which test they are talking about.  In most cases, they are talking about a DIAGNOSTIC test.  A diagnostic test will determine whether or not the Covid 19 virus is present at the time of the test.  The other kind of test is generally termed a serology (blood) test.  The serology tests determine the presence of antibodies that are created if the patient had been been previously infected with Covid 19.

Diagnostic Testing.  Most diagnostic tests use a method abbreviated RT-PCR (Reverse Transcription-Polymerase Chain Reaction) that will detect the presence of the DNA from the virus.  There are several manufacturers of these tests around and THEY ARE NOT THE SAME in reliability.  The difference in testing methods and reliability should be remembered when analyzing data from different sources.

In most cases, the testing being discussed are the results of diagnostic testing.  That is, diagnostic methods are used  when the daily number of confirmed cases is provided.  For instance, diagnostic tests were used to report the 1,391,316 confirmed cases of Covid 19 in the US (5/12/20).

A diagnostic test will determine if a virus is present at the time of testing.  It can not tell if the person was infected and then recovered nor is it predictive of if the patient will get the disease tomorrow or any time in the future.    If you are showing severe symptoms, you should go get medical attention whether or not you have been tested.  If you are feeling ill in any way, you should stay-at-home regardless of whether or not you are tested.  If you test negative, there are also uncertainties.  You may have been infected just before the test and the virus has not spread enough to be detected, or you could get infected tomorrow.  If you have no symptoms but are positive in a diagnostic test, you are among the 80% of infected people who have no or minor symptoms.

Serology – Antibody Testing

Serology tests are blood-based tests that can be used to identify whether people have been exposed to Covid 19 by looking for specific antibodies.  The mechanisms for antibodies was topic of an earlier blog regarding vaccines.  Covid 19 Vaccine. Where are we in the process? How will they work? What’s taking so long? The presence of antibodies would indicate that the patient had been infected with Covid 19.  As mentioned above, because the vast majority of people who are infected have no or minor symptoms, antibody testing is the only way to determine how many people are actually infected.  Earlier blogs have indicated that the actual number of people infected as determined from antibody testing is up to 20x higher than the number of infections detected with diagnostic testing.New York: Nearly 3 million infections – not 276,000

It is important to know:

  1. It is not known if the presence of antibodies makes the patient immune from further infection.
  2. If the patient does become immune to Covid 19, it is not known how long the immunity will last.
  3. The immediate benefit from antibody testing will be to determine how many people were infected.

Specificity and Sensitivity.  These are KEY factors in the reliability of tests but are seldom discussed in the news.   Specificity is a measure of how reliable the test is.  In other words,  if the test indicates you have the disease, do you really have the disease?  Or is the test somewhat unreliable because it can provide a positive result when you don’t have the disease.  This is termed a false positive result.    Specificity is a measure of how many false positives a test will give.  A test with a specificity of 80% means that only 80% of those who tested positive actually are positive.  20% show an incorrect positive result.

Sensitivity is a measure of how reliable the test is, if the test says that you are negative.  It is a measure of the false negatives.  A test with a sensitivity of 90% means that 90% of the people who test negative, truly do not have the disease but 10% of the negatives are really positives and have the disease.  Some of the reports from South Korea suggests their test had a sensitivity of 80-85%.

Each test should be evaluated for both it’s specificity and sensitivity.  It is possible for a test to have a high specificity but a low sensitivity.

These seem like details, but a 5% false negative means that if 1,000,000 people test negative, there are really 50,000 people who are actually infected.  Labs, doctors and patients should be very aware of the specificity and sensitivity of the tests they are administering.  There are over 20 different tests being conducted around the world, each with it’s own, sometime unknown specificity and sensitivity.  This makes comparative data very difficult.

As the choice of what test to run is determined locally (state, county, hospital), differences in specificity and sensitivity between tests likely exist.

There is an old joke in testing labs about what level of service a client can request. For each test, you can choose how fast you get the results back, how accurate the results are and the cost of the test.  Unfortunately, you can only choose two of the three choices.  This is true for Covid 19 testing as well.

Test Approval Process.

It would normally take more than a year or more to get a diagnostic test to get FDA approval.  This is because of the number of patients and time in clinical trials that are required to demonstrate sensitivity and specificity.  Under the FDA Emergency Use Authorization guidelines, manufacturers only need to test 30 laboratory samples and demonstrate 95% specificity (positives) and 100% sensitivity (negatives).  That means that the test must detect 95% of the samples that contain the virus.  A 100% sensitivity means that there can be no false negatives.  I am unaware of any test whose accuracy has been evaluated by an independent organization (eg not the company who manufacturers the test).

For diagnostic tests, it is important to know that the virus used in these laboratory tests are not from patients but from lab sources.  It is also not clear that all labs are using the same concentration of virus in all of their tests.  Last, the tests are conducted under laboratory conditions without issues of sample collection and other factors present when testing patients.  There is no requirement that any clinical data from patients be part of the Emergency Use Authorization approval process.  This does not mean that the tests are unreliable, it just means the tests have not been as fully evaluated as they would have in an non-emergency environment and we don’t know the number of false positives and negatives we are getting (other than the data supplied by the manufacturer).

There are also factors not related to the actual diagnostic test that can effect the test results.

  1. When the patient was infected.  If the patient was infected very recently, there may not be enough of the virus to detect.
  2. Where the virus is. Most tests are from nasal swabs.  However, as the disease progresses, the virus moves into the lungs, so the viral load in the nasal passages goes down.
  3. Incorrect sample collection. If the nasal swab is too superficial (not deep enough) then the virus may not be detected.
  4. Rapid testing after collection. The tests usually must be run within 8 hours, unless it is refrigerated in which case it much be tested within 72 hours.  Testing outside the windon decreases the chance of detection.

More attention must be paid to determine the specificity and sensitivity of all tests.  Too many false negatives will release infected people into the population and too many false positives can overwork or overload the health care system.  The situation is made more difficult with the increasing number of new tests being introduced in the US and around the world.

The same specificity and sensitivity issues apply to the Serology-antibody tests.  Again, there are over 20 different tests of this type being run around the world.  Like the diagnostic tests, they are being approved for use under emergency use authorization so specificity and sensitivity values are being supplied the manufacturer who makes the tests under laboratory conditions.  This does not make the tests unreliability and I am not criticizing the manufacturers, but independent evaluation under normal clinical evaluation guidelines should be done.

It is a difficult time as development and distribution speed is now prioritized over normal safety and effectiveness procedures.  This undoubtedly has allowed the use of some tests that would not have been approved under more normal conditions.

There are two examples of what can happen if specificity and sensitivity are not well established.  In May, the United Kingdom reported that it had purchased 2 million antibody test kits from China for $20 million (₤16 million).  However, the purchase was apparently made before independent UK analysis was done.  When the kits were received, independent tests showed both too many false positive and too many false negatives.  The 2 million kits are useless. https://www.bloomberg.com/news/articles/2020-04-07/new-test-hopes-dashed-as-u-k-finds-antibody-kits-don-t-deliver

The city of Laredo, Texas also bought 20,000 antibody test kits from China for $500,000.  These kits were not approved by the FDA in any way.  The city took a risk to secure antibody testing.  Once received, the tests, like the ones purchase in the UK, turned out to be unreliable and useless.  The kits were, nonetheless, seized by the FDA.

It is not my intention to criticize the incredible speed at which these highly complex tests are being developed. I have not discussed the actual technology, but it is quite incredible.  We usually just see a box or a device without knowing the complex test that is going on inside.   The balance of speed of development and reliability is a point the world is trying to find.  The purpose of this blog is to discuss the factors involved in testing that have not been often discussed and to provide some background to the daily news regarding testing.

 

 

 

 

 

 

 

Reopen Businesses – What should the new ‘normal’ be?

Returning to normal…but what’s normal?

As the nation and the world turns toward reopening the world to business, there has been a lot discussion of whether we could ‘return to normal’, but what does that mean exactly and how do we know when get back to normal?  We have lived with numerous causes of death that are higher in number than we are seeing for Covid, yet we did not shut down our country for any of these other causes.  In other words, we accepted as ‘life’ that there are many things cause death but we continue to go through life without stopping.

We should not have to complete end or stop Covid 19 before we ‘return to normal’. ‘Norma’l includes yearly deaths many times that caused by Covid 19.

We get daily briefings and headlines about Covid new cases and new deaths from the US and around the world.  To date (April 27, 2020) there have been 1,004,942 Covid 19 cases and 56,527 deaths.  However, the view of the number of actual cases has drastically changed in the last week.  The availability of antibody tests, which can determine if someone has been infected, has resulted in several reports that the actual number of people that were infected may be somewhere between 16 to 80X higher than this value (up to 21% of the population).  This means the actual number of Covid 19 cases may in the range of 16,000,000 to 80,000,000.  This makes the fatality rate between .34 and .07%.  This is in the range of the seasonal flu. New York: Nearly 3 million infections – not 276,000

The early concern over Covid 19, which caused the nationwide lockdown were basically two concerns. The first was the seemingly high fatality rate which was generally reported to be between 5 and 10% back in March.  The second was the concern that the number of infected patients would overwhelm our health and hospital systems, and whether we could treat everyone who needed help.

As it turns out now, fortunately, neither of those concerns happened.  The fatality rate is most likely be well under 1% and may be in the range of the seasonal flu.  There was not one city, including the hottest spot, New York where there was a shortage of beds, intensive care units or ventilators.

The shelter in place and closing of businesses undoubtedly helped to slow the spread of the virus, but perhaps not as much as we previously thought.  Before antibody testing, we were operating under the fact the 1 million people had been infected.  In a country of 370 million, this would seem to say that the lockdown was very effective.  However, the antibody testing now suggests that the number of people infected may be as much as 80 million!  This means that the lockdown was not nearly effective as we thought.  It also means that the vast majority of those who were infected did not need hospital care and had no or minor symptoms.

As plans are being considered to how reopen America’s business, the question is what state of health are we going to return to or accept?

To try and answer this question, it is useful to examine the top 10 causes of death in the US in 2018.  The CDC reports:

CauseDeathsDeaths/100,000
Accidents1671,2748
Alzheimer's122,01931
Cancer599,274149
Diabetes8494621
Heart Disease655,381164
Kidney52,38613
Lower Respiratory (COPD)159,48640
Seasonal Flu5912015
Suicide48,3449
Covid 19 4/27/202056,527*15*
  • Covid 19 Numbers still increasing, but rate of increase has slowed

Note that as a society, we did not shut down our businesses or go into lockdown over these numbers.  In particular, it interesting to note that in the 2018 season, flu claimed more lives than Covid 19 has caused to date (although Covid 19 is sure to increase further).  We also did not stop driving cars even though over 100,000 per year die from car accidents.

It would seem reasonable that if Covid 19 statistics could be brought into line with these other causes of death that we would be back to ‘normal’.

A key factor to consider is that Covid was much more fatal to those over 65.  Currently 79% of the Covid 19 deaths were in people over the age of 65.  The 65 and older group represents just 16% of the population.  The data strongly suggests that those over 65 may suffer more fatalities.  The younger you are, the less likely that Covid will be fatal, even if you get infected.

When businesses open up, both businesses and individuals may have different behaviors depending on the age of the people involved.

Although, there has been a long and strong voicing that Covid 19 is not the flu, it acts more and more like a flu the more we study it.  It has been thought that Covid 19 was more contagious than the flu, but the recent finding that the number of infections known may be off by many millions, it is not clear how much more contagious it is.  As I always state, comparing Covid 19 to the flu is NOT downplaying the seriousness of Covid 19 – instead it is a reminder that the seasonal flu has always been deadly (25,000-60000 fatalities a season and up to 60 million infections) and will continue to be so.

I will discuss vaccines in an upcoming blog, but it is critical to note that the data regarding the seasonal flu is WITH an annual vaccine.  There is no current vaccine for Covid 19, so Covid 19 statistics should look much better once a vaccine is found.  However, it is very important to know that the seasonal flu vaccine does NOT always work well.  The effective of the seasonal flu vaccine has varied from 10 to 50% depending on the year.  Hopefully, the Covid 19 vaccine will perform much better.

Covid 19 Tests: What we can and can’t say.

Miami Dade: 165000 cases, not 10,000. More Good News

More good news.  It seems that each day, the results of another study of the actual extent of Covid 19 infection show that the actual number of people infected is much greater than we expected.

As always, this is good news.

Until now, Miami-Dade county in Florida has reported 10,600 cases of Covid 19.  However today, a University of Miami reported on a study designed to determine the actual extent of infection by selecting a wide range of patients with and without symptoms for antibody testing.

They found that 6% of those tested were positive for the antibody.  Assuming that their study group was representative of the Miami Dade county, this would mean that 165,000 were infected with Covid 19 instead of the 10,600 reported.  About 50% of the people tested reported having no symptoms for 14 days before being tested.

This data is consistent with the data reported for Santa Clara (2-5 %) and Los Angeles County (4%) in California and New York (up to 21%) as well as testing in Robbi Italy (10%) and Gangelt Germany (14%).  Although each study tested only a few thousand representative people, in all cases, the number of people tested ranged from 4 to 21% of the population- representing 10 to 80X the number of cases that have been reported.

This means that the ‘curve’ that we have been trying to flatten is NOT representative of the actual number of infections that have occurred.  Taking an average of 5% infection for discussion sake, this would mean that in the US alone, there have been 18,750,00 infections, not 953,851.  This would also make the fatality rate .28%.  If it turns out that 10% of the population was infected, the fatality rate would be .14%.  Recall that New York city reported an infection rate of 21%.

Caveat:  All of these studies represent cross sections of different areas of the US, Italy and Germany.  More data is necessary from many more places with wider demographic of study subjects until the actual infection rate is known.

However, even as we watch the daily count of new cases increase, it is certainly the case that the cases being measured are 10 to 80 times less than the actual number of people being infected.  Again, this is good news.  It means that 50-80% of the people who get infected have no or minor symptoms and that the fatality rate gets closer and closer to the values we associate with seasonal flu.  This is especially good news as the seasonal flu numbers are WITH a flu vaccine.  To date, there is no proven vaccine for Covid 19.  The numbers for Covid 19 can only improve with more antibody testing and the introduction of a vaccine.

This also has implications on reopening businesses as sheltering in place may have been effective, but perhaps not nearly as effective as it was thought to be.

New York: Nearly 3 million infections – not 276,000

New York: Infection rate 10x higher than previously thought.  This is good news.

New York reported their first results in larger scale antibody testing to see how many people may have had actually had a Covid 19 infection.  43% of the tests were conducted in New York City while 32.8% of the test were taken out of the city.  The presence of the antibody means the person had and recovered from Covid 19 infection.  In most cases, the person was unaware they were infected.  This is GOOD NEWS.  It means that most people who get infected have no or minor symptoms and it makes the fataility rate (the % of people who die after getting infected) much, much lower.  See my earlier blog on antibody testing. Covid 19 Tests: What we can and can’t say.

The results reflected large differences between different areas of the state.  The number of people who tested positive for the antibody was:

New York City: 21%

Long Island: 16.7%

Westchester 11.7%

Rest of New York 3.6%

This corresponds to 1.7 million people in New York City and more than 2.6 million statewide who have been infected.  These number are much, much higher than the 275,000 confirmed cases that his reported today.

The tests show that the spread of covid 19 was not very different for different age groups:

  • 45-54 age: 16.7%
  • 65-74 age: 11.9%
  • Over 75 age: 13%
  • Less than 45 ranged from 8 to 15%

It is reminded here that this is percentage in each age group that had the antibody – they are the survivors.  The fatality rate among the groups is very different, with those over 65 accounting for 40% of the deaths.  The fatality rates will be discussed in a future blog.

Black, latino and multiracial New Yorkers had a 22% average positive tests while White accounted for 9.1% of the positive results.  Although it is clear there is a racial component to the infection rate, strict comparison of the numbers should be done carefully, as most of the testing was done New York City which has more minorities.

Importantly, this make the fatality rate around .5%, 10x lower than what was known just a couple of weeks ago.

This does not negate the severe impact the disease has had on the public but it does provide more insight into the disease.

The results here are consistent with other immunity tests reports in Santa Clara County, Los Angeles County, Robbi, Italy and Gangelt Germany and continues to indicate that the fatality rate of Covid 19 is likely to be significantly under 1%. Covid 19. How many people are actually infected? Santa Clara County 

Caveat:  This study and others should be considered preliminary studies.  They clearly show a high number of infections but only in limited locales.  Much more data from more locations and wider demographic inclusion will be necessary before the actual numbers of infections are known.  The results may also vary from country to country or county to county.  However, all indications so far are that the number of infections  determined by antibody testing is far higher than the number of confirmed cases being reported.

 

Texas and Georgia Hair Salons Opening: Would you go?

This week, several states like Georgia and Texas are beginning to cautiously allow the opening of selected businesses.  They are doing this in the wake of the Federal Guidelines for reopening their businesses which provides guidelines for reopening but allows local governors to make final specific decisions. I’m going use the opening of Hair Salons as my discussion focus because it is controversial but brings out all the complexities of reopening a business.

In the past month, grocery stores, pharmacies, big box stores and Home Depot have opened without starting any outbreaks – this suggests that other businesses may find ways to reopen and stay safe as well.  It is hopeful that gyms, schools and other places can find ways to open and operate safely.

It should be emphasized that within a state the infection rate of Covid 19 can be very different. This means that you should know the situation around where you live.  Some areas have much higher rate of infection and people should behave accordingly.

Texas.  For instance, in the last 14 days 155 of the 255 counties of Texas have not reported any cases of Covid 19.  Another 19 counties have reported less than 10 new cases of Covid 19.  This is in contrast to the largest county, Harris and Dallas counties which reported 754 and 556 cases respectively in the same time period.  Just 10 counties account for 72% of the Covid 19 cases in Texas.  However, on percentage basis, on average 1.2% of the population of each county has been infected.  Keep in mind that this is a lower percentage that catches the seasonal flu.  Your risk of getting the disease is highly variable in Texas (and everywhere else).

Similarly the 10.6 million people of Georgia live in one of 158 counties.  The top 10 counties account for over 55% of cases.  It is a much different environment in Dekalb County (1600 cases including Atlanta) than in Montgomery County (2 total cases).

The reopening of businesses is not only economically crucial but also crucial to the health of the general population.  Over 50% (some higher) of the people live paycheck to paycheck and lines for food banks are enormously long.  Also, ‘elective’ surgeries and medical treatments have been stopped but the long term health implications of these stoppages are not yet known.  For instance, cancer screening stopped so there are people who may have been able to be diagnosed with cancer and start treatment have been waiting over a month just to get the diagnosis.  People with chronic pain are also not being cared for during this time.  A topic for another blog will be the costs involved.  BEFORE the over 5 trillion dollars recently allocated by congress, the national debt was 18 trillion dollars which translates into an interest payment of approximately $500 Billion each year.  That is $500 billion that could be spent on other things like education, homes, health care etc….the new spending will send our interest payments to over $600 Billion/year – over 10% of the US budget.

On the other hand, no one wants to ‘reignite’ the infection of Covid 19 after working so hard and making so many sacrifices to get the disease under some management so it will be balance to get back to work and stay safe.  I’m sure there will be some good decisions and some bad decisions in the coming weeks. Choices have to made on imperfect and incomplete data and the interpretation of the data we do have can often be interpreted in different ways.

It is important to emphasize that in these states that are beginning to allow businesses to open – it is NOT business as usual.  Social distancing guidelines remain in effect and there are many more procedures that must be followed in order to reopen and stay open.

One of the big controversies is the opening of hair salons.  It seems that this puts two people closer than social distance guidelines.  Is this a good idea?  The first answer is, that we don’t know how this will work – especially if they follow the guidelines.  This may be too much detail, but it illustrates the details that have to be taken for ANY business to reopen.  Here are the Georgia Guidelines for Hair Salons.  Also, consider that everyone should use some common sense along with government guidelines.

If you feel sick – don’t go out. 

If you’ve been in close contact who has been sick, don’t go out. 

If you feel sick – don’t go to work.

If you have been in close contact who has been sick don’t go to work.

Be mindful of exposing others to risk.  Most recent data suggests that 80-90% of infected people have few or no symptoms but can transmit the disease to others.  So even if you are feeling good, be mindful of who you come into contact or close proximity with.

Also, getting testing for Covid 19 just tells you if you have been infected on that day.  If you were recently infected, you may not have had the time for the infection to become detectable.  The test also will not tell you if you get the virus the next day or anytime in the future.  If you feel like you might be sick – stay away from others (test or no test).

Look the hair salon guide over, consider where you live and decide if you would go to hair salon if you were in need of a hair appointment.  I know this is only a small segment of life, but the same decisions will have to be made for every business that opens and every business you frequent.

Salon Guidelines – Georgia

  • Salon/shop employees will be required to wear masks at all times. Salons may want to consider providing masks to clients. Clients should wear face masks to the extent possible while receiving services.
  • Salons/shops should also make use of face shields, gloves, disposable or re-washable capes, smocks, neck strips, etc.
  • These items should be disinfected or disposed of between each client. Employees should should arrive at the salon/shop showered and wearing clean clothing and change clothes before leaving the salon/shop each day.
  • Hand washing with soap and warm water, for a minimum of 20 seconds will be required by employees between every client service.
  • All salons/shops should be thoroughly cleaned and disinfected prior to reopening. Disinfect all surfaces, tools, and linens, even if they were cleaned before the salon/shop was closed.
  • Salons/shops should maintain regular disinfection of all tools, shampoo bowls, pedicure bowls, workstations, treatment rooms, and restrooms.
  • Additionally, salons/shops should remove all unnecessary items (magazines, newspapers, service menus, and any other unnecessary paper products/decor) from reception areas and ensure that these areas and regularly touched surfaces are consistently wiped down, disinfected, and that hand sanitizer is readily available to clients and staff.
  • Avoiding the exchange of cash can help in preventing the spread of the virus, but if this is unavoidable, be sure to wash and sanitize hands well after each transaction.
  • The use of credit/debit transactions is preferred, using touch/swipe/no signature technology.
  • Employees who are sick will be expected to stay home.
  • Salon/shop owners/managers should provide training, educational materials, and reinforcement on proper sanitation, hand washing, cough and sneeze etiquette, use of PPE, and other protective behaviors.
  • Ensure break rooms are thoroughly cleaned and sanitized and not used for congregating by employees.
  • Be flexible with work schedules/salon hours to reduce the number of people (employees and clients) in salons/shops at all times in order to maintain social distancing.