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Excess Deaths and Avoidable Deaths

07 Monday Mar 2022

Posted by Nuetzel in Public Health

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Adverse Events, Anti-Coagulants, Avoidable Deaths, Blood Clotting, Blood Thinners, CDC, Covid-19, Death of Expertise, Deaths of Despair, Deferred Care, Emergency Use Authorization, EUA Shadow Deaths, Excess Deaths, Incidental Infections, Lockdown Deaths, Omicron Variant, Our World In Data, Post-Mortem Testing, Prime Age Deaths, Randomized Control Trials, The Ethical Skeptic, USMortality.com, Vaccine Efficacy, Vascular Integrity

Understanding the severity of the coronavirus pandemic is more straightforward when measured in terms of excess deaths, rather than total Covid deaths. We’ve had a large number of excess deaths in the U.S., but not all of them can be attributed to Covid. It’s also worth asking whether some of the deaths were avoidable, because that reflects even more profoundly on the success or failure of public policy and the health care system in dealing with the challenge. Unfortunately, while the precise number of avoidable deaths the nation has suffered is speculative, it is nevertheless significant.

Bad Metrics

A huge problem with using total Covid deaths as a measure of pandemic severity is that no one is confident in the accuracy of official statistics. There are reasons to suspect over-counting in the U.S. due to financial incentives created for hospital systems by the CARES Act. These were exacerbated by the CDC’s absurd 2020 recommendations for the completion of death certificates. Essentially, any non-primary Covid entry on a death certificate was sufficient to count the death as from Covid. No other disease is or has ever been tallied like that.

There is an important distinction between deaths “with Covid” and deaths “from Covid” that has been acknowledged only recently by health authorities. A death “with Covid” can occur when a patient tests positive for Covid after being admitted to a hospital for another primary ailment. Thus, deaths from other causes like heart failure have been improperly coded as Covid deaths under the CDC’s guidelines. Even tragedies like auto fatalities have been coded as Covid deaths.

At the same time, some public health “elites” insist that many Covid deaths in the community have gone unreported. That might have been true in the early weeks of the pandemic. However, post-mortem testing by medical examiners began to spread by April 2020, though there was a shortage of tests, and the CDC issued guidelines to encourage it late in the year.

Counting excess deaths from all causes avoids these controversies, including differences across countries in the way they record Covid deaths. It’s also possible to break down excess death into broad categories of causes, though the task is complex.

How Many?

First some simple accounting. Let’s define all-cause mortality during a period (Mort) as Covid deaths (C) plus plus all other mortality (M), or Mort = C + M. Expected mortality in the absence of a pandemic would be Exp(Mort) = Exp(M). Usually this expected value is taken as an average of deaths over several previous years. Therefore, excess mortality during the pandemic is:

EM = C + M – Exp(M)

How many excess deaths have we actually seen during the pandemic? According to Our World In Data, the figure was 950,000 as of Jan 9th. USMortality.com puts the excess at about 965,000 through the end of 2021. So these two sources are in close agreement, which says a lot given the usual difficulty of getting pandemic numbers to tie-out across sources

Through 2021, cumulative Covid deaths (by date of death) were almost 850,000. That’s less than excess deaths, so it’s obvious that other factors have contributed to the excess. Interestingly, 2021 was worse for excess deaths than 2020 for all age groups except 85+. Some have suggested the most vulnerable in this highly vulnerable age group had already succumbed to Covid in 2020, but there may have been other reasons for the difference.

Non-Covid Excesses

As noted above, some of the Covid deaths were misattributions. If we understand C to include only deaths “from Covid”, then we must acknowledge that M includes deaths from other causes but “with Covid”, as well as all deaths without Covid diagnoses. For example, because of the confounded way in which Covid deaths have been counted, a death from heart disease could end up in the official count of C, but it should be included in M instead.

The figures above imply 100,000+ excess deaths during the pandemic not associated with Covid diagnoses. If we add to those the “with Covid”, incidental total, then perhaps 300,000 – 400,000 excess deaths during the pandemic were from non-Covid primary causes!

Lockdown effects are a prime suspect in these non-Covid deaths. For example, if health care was deferred because hospitals cancelled or delayed elective procedures, or because patients feared the hospital environment, that would certainly manifest in premature deaths. Deaths of despair or neglect were also in excess, as one should expect when populations are subjected to prolonged periods of isolation.

These kinds of deaths are so-called “lockdown” deaths because they could have been avoided without such stringent policy measures and the propagation of fear by public health authorities. Those who might protest this nomenclature should note that lockdowns have been unsuccessful in mitigating the pandemic (and see here). After all, in terms of excess deaths, the Swiss approach was quite successful!

Avoidable Deaths

Many of the excess pandemic deaths were avoidable. Prolonged lockdown policies were driven by politics rather than sound public health reasoning. However, within the Covid death totals there is another category of avoidable deaths, and it is every bit as controversial. This post from The Ethical Skeptic (TES) goes into great detail on the matter. He takes a strong position, and some of his assertions and his accounting are subject to challenge. I sometimes find that TES’s posts contain ambiguities, and the graphical evidence he presents is often poorly labeled. Still, he has proven correct on other controversial issues, such as the ancestry and surprisingly early “vintage” of the Omicron variant.

Most of the “avoidable” Covid deaths (again, as distinct from the non-Covid lockdown deaths) occurred well after the primary symptoms of the infection (fever, cough, and cytokine storm) had passed. In the end, the real killers were follow-on problems induced by Covid, primarily related to blood clotting and compromised vascular integrity from endothelial dysfunction. These deadly complications were known very early in the pandemic. The following schematic from TES shows a Covid “death timeline”. The figures listed under the schematic show the large share of clotting and vascular problems involved in these deaths.

Over the past two years, not all of these patients were placed on anticoagulants or blood thinners early in the course of their infections. Indeed, many of them were told to “go home and sleep it off”. This is what happened to TES as well as a number of commenters on his Twitter account. I know several individuals who received the same advice from medical professionals. Even among the hospitalized, many were not placed on these drugs in a timely fashion, or until it was too late. TES adds the wrinkle that his physician indicated he should have been vaccinated! Short of that, tough luck, said the healer.

TES blames this medical “malfeasance” on the CDC’s Emergency Use Authorizations (EUA) for the Covid vaccines. In fact, he calls these deaths “EUA Shadow Deaths”, citing legal requirements associated with EUAs that would appear to prohibit alternatives such as therapies and even tests or studies of alternatives. That contention seems questionable given the CDC’s issuance of other EUAs for certain treatments, and there was no shortage of published experiments conducted during 2020-21.

The vaccine EUAs were not issued until late 2020, but TES claims that forces leading up to those EUAs were responsible for the failure to put patients on anticoagulants/blood thinners even earlier in 2020. The schematic says more than half of Covid deaths through the end of 2021 involved blood coagulation issues, and I have no reason to doubt those figures, which TES sources from the CDC. But He uses a value of 50% of Covid deaths to estimate that 421,000 Covid deaths were avoidable.

I’m not sure about that total, or rather, the use of the term “avoidable” in all those cases. I am sure, however, that we’ve seen a remarkable under-emphasis on therapeutics (and see here and here) relative to the emphasis on vaccines. The news media contributed to the dysfunction by condemning certain promising therapies for political reasons.

I’m also sure that there have been a meaningful number of patients who should have received anticoagulants/thinning agents but did not. Why did they not? Plausibly, the restrictions imposed by the vaccine EUAs made a difference, but clearly the medical community was not tuned into what should have been an obvious treatment regimen.

How many Covid deaths were truly avoidable? TES’s estimate of 421,000 seems too high if only because we can’t expect the dissemination of information through the medical community to be perfect. Moreover, some of these patients were undoubtedly on blood thinners already, or there might have been contraindications preventing the use of anticoagulants/thinners.

Nevertheless, a substantial number of deaths could have been avoided by more timely use of therapeutics and less stringent lockdown measures. Here is a chart from a tweet by TES showing another accounting for excess deaths:

Here, TES uses a slightly longer time frame, through about February 5, 2022, so the “EUA Shadow Death” total is somewhat larger, about 437,000, than shown in the earlier schematic. He attributes about 800,000 excess deaths, or 77%, to Covid, most of which he believes were avoidable deaths.

Lockdown deaths account for some of the additional 236,000 excess deaths reported in the chart, and probably a large share of the roughly 90,000 non-natural deaths labeled #3 (SAAAAD = “Suicide Addiction Abandonment Abuse Accident & Despair”; the two other categories in #3 relate to non-Covid illnesses acquired in-hospital or adverse reactions to medications). The Unknown/Abnormal category may include some lockdown deaths, but more on that category below.

If TES is correct about shadow deaths, the “avoidable” pandemic death total might account for well over half of all excess deaths. I suspect it might account for half, but even if less, it’s clear that avoidable deaths have been a huge part of the pandemic’s toll.

Vaccine Adverse Events

There’s been much speculation about the large number of Unknown/Abnormal deaths that have been coded during the pandemic: more than 65,000 in the chart above. One caveat is that an “unknown” cause of death usually means the cause is ambiguous: there might have been several factors contributing to the death such that the medical examiner was unable to assign a definitive cause. That status can be temporary as well. Still, the surge is noteworthy.

Unfortunately, there were an unusual number of excess deaths in younger age brackets in 2021, especially in the second half of the year after vaccinations had reached a fairly large share of the population. The pace of those deaths hasn’t yet abated in 2022. The next chart, from USMortality.com, shows excess mortality in the 25 – 44 age bracket in 2020 – early 2022.

Many of these prime age deaths could be a continuing hangover from deferred medical care and depression. There are claims, however, that the vaccines themselves killed a significant number of individuals. The upsurge in excess deaths suggests to some that the vaccines have had a much greater number of “adverse events” than we’ve seen reported by the CDC and the news media.

Here is how TES presents the data on excess deaths and vaccinations. The chart title is his somewhat confusing attempt to summarize the meaning of the lines plotted. The left axis measures the pace of vaccinations by week and the right access measures weekly excess non-Covid natural-cause deaths.

I have no doubt as to the efficacy of the vaccines against serious Covid outcomes in high-risk groups, though vaccine efficacy has been drastically overstated by the Biden Administration. The balance of risks for older individuals is clearly in favor of vaccination. Still, I’ve long felt that vaccination is less compelling for people in younger age brackets, and it’s possibly a bad idea. That’s both because Covid is a much smaller risk to them and because of possible vaccine risks, such as myocarditis.

To the extent that natural-cause, non-Covid excess deaths among younger age cohorts have been driven by unnecessary vaccinations, those deaths were avoidable. I’m not convinced of the significance, and it’s clear that among hospitalized Covid patients, outcomes have been better among the vaccinated. The following chart is from the link in the previous paragraph:

That sort of pattern might mean more deaths among the unvaccinated could have been avoided, on balance, had they opted for the jab. In almost all things, however, I believe we should eschew blanket mandates and instead offer protection to those seeking it in the high-risk population.

Conclusion

As many as 30% of Covid deaths to date are likely misattributions in which Covid was not really the primary cause of death. Nevertheless, excess Covid deaths “from Covid” as the primary cause are probably approaching 700,000 today.

The pandemic was certainly bad enough without a slew of bad calls by the public health and medical establishments. Of the 950,000+ excess deaths that occurred through the end of 2021, over 100,000 were not attributed to Covid. If we include deaths mis-attributed to Covid, the non-Covid total is likely in excess of 300,000 and could be as high as 400,000. It’s time to acknowledge that lockdowns and fear-mongering led to a large number of those deaths, and most of those deaths were avoidable. However, while I am skeptical, the number of deadly adverse effects from vaccines in the prime age population is an open question.

Another class of avoidable deaths was a product of the underemphasis on Covid therapies by the medical establishment. There were many cases of promising, repurposed drugs that were shouted down after so-called experts insisted that their use must be withheld until adequate randomized control trials (RCTs) had confirmed their efficacy. Not only did this ignore the long history of clinical evidence as a guide to medical practice. It also ignored the frequent real-world inadequacies that plague RCTs.

At the same time, obvious complications of the vascular system, primarily blood clotting, were not treated in a timely way or as a precautionary treatment’s, at least prior to hospitalization. Adding a conservative allowance for these deaths to the other avoidable deaths probably means that at least half of the excess deaths during the pandemic were avoidable. As of March 2022, that’s over half a million deaths! We can chalk it up to mismanagement and miscommunication by the public health establishment with a dash of ignorance, and perhaps some malfeasance, by health care practitioners. The death of expertise, indeed!

Most Hospitals Have Ample Capacity

05 Saturday Dec 2020

Posted by Nuetzel in Coronavirus, Health Care

≈ 1 Comment

Tags

AJ Kay, CARES Act, CDC, CLI, COVID, COVID-Like Illness, Don Wolt, Emergency Use Authorization, FAIR Health, False Positives, FDA, HealthData.gov, Hospital Utiluzation, Houston Methodist Hospital, ICU Utilization, ILI, Influenza-Like Illness, Intensive Care, Length of Stay, Marc Boom, Observation Beds, PCR Tests, Phil Kerpen, Remdesivir, Staffed Beds, Statista

Let’s get one thing straight: when you read that “hospitalizations have hit record highs”, as the Wall Street Journal headline blared Friday morning, they aren’t talking about total hospitalizations. They reference a far more limited set of patients: those admitted either “for” or “with” COVID. And yes, COVID admissions have increased this fall nationwide, and especially in certain hot spots (though some of those are now coming down). Admissions for respiratory illness tend to be highest in the winter months. However, overall hospital capacity utilization has been stable this fall. The same contrast holds for ICU utilization: more COVID patients, but overall occupancy rates have been fairly stable. Several factors account for these differing trends.

Admissions and Utilization

First, take a look at total staffed beds, beds occupied, and beds occupied by COVID patients (admitted “for” or “with” COVID), courtesy of Don Wolt. Notice that COVID patients occupied about 14% of all staffed beds over the past week or so, and total beds occupied are at about 70% of all staffed beds.

Is this unusual? Utilization is a little high based on the following annual averages of staffed-bed occupancy from Statista (which end in 2017, unfortunately). I don’t have a comparable utilization average for the November 30 date in recent years. However, the medical director interviewed at this link believes there is a consensus that the “optimal” capacity utilization rate for hospitals is as high as 85%! On that basis, we’re fine in the aggregate!

The chart below shows that about 21% of staffed Intensive Care Unit (ICU) beds are occupied by patients having COVID infections, and 74% of all ICU beds are occupied.

Here’s some information on the regional variation in ICU occupancy rates by COVID patients, which pretty much mirror the intensity of total beds occupied by COVID patients. Fortunately, new cases have declined recently in most of the states with high ICU occupancies.

Resolving an Apparent Contradiction

There are several factors that account for the upward trend in COVID admissions with stable total occupancy. Several links below are courtesy of AJ Kay:

  • The flu season has been remarkably light, though outpatients with symptoms of influenza-like illness (ILI) have ticked-up a bit in the past couple of weeks. Still, thus far, the light flu season has freed up hospital resources for COVID patients. Take a look at the low CDC numbers through the first nine weeks of the current flu season (from Phil Kerpen):
  • There is always flexibility in the number of staffed beds both in ICUs and otherwise. Hospitals adjust staffing levels, and beds are sometimes reassigned to ICUs or from outpatient use to inpatient use. More extreme adjustments are possible as well, as when hallways or tents are deployed for temporary beds. This tends to stabilize total bed utilization.
  • The panic about the fall wave of the virus sowed by media and public officials has no doubt “spooked” individuals into deferring care and elective procedures that might require hospitalization. This has been an unfortunate hallmark of the pandemic with terrible medical implications, but it has almost surely freed-up capacity.
  • COVID beds occupied are inflated by a failure to distinguish between patients admitted “for” COVID-like illness (CLI) and patients admitted for other reasons but who happen to test positive for COVID — patients “with” COVID (and all admissions are tested).
  • Case inflation from other kinds of admissions is amplified by false positives, which are rife. This leads to a direct reallocation of patients from “beds occupied” to “COVID beds occupied”.
  • In early October, the CDC changed its guidelines for bed counts. Out-patients presenting CLI symptoms or a positive test, and who are assigned to a bed for observation for more than eight hours, were henceforth to be included in COVID-occupied beds.
  • Also in October, the FDA approve an Emergency Use Authorization for Remdesivir as a first line treatment for COVID. That requires hospitalization, so it probably inflated COVID admissions.
  • The CDC also announced severe penalties in October for facilities which fail to meet its rather inclusive COVID reporting requirements, creating another incentive to capture any suspected COVID case in its reports.

In addition to the above, let’s not forget: early on, hospitals were given an incentive to diagnose patients with COVID, whether tested or merely “suspected”. The CARES Act authorized $175 billion dollars for hospitals for the care of COVID patients. In the spring and even now, hospitals have lost revenue due to the cancellation of many elective procedures, so the law helped replace those losses (though the distribution was highly uneven). The point is that incentives were and still are in place to diagnose COVID to the extent possible under the law (with a major assist from false-positive PCR tests).

Improved Treatment and Treatment

While more COVID patients are using beds, they are surviving their infections at a much higher rate than in the spring, according to data from FAIR Health. Moreover, the average length of their hospital stay has fallen by more than half, from 10.5 to 4.6 days. That means beds turn over more quickly, so more patients can be admitted over a week or month while maintaining a given level of hospital occupancy.

The CDC just published a report on “under-reported” hospitalization, but as AJ Kay notes, it can only be described as terrible research. Okay, propaganda is probably a better word! Biased research would be okay as well. The basic idea is to say that all non-hospitalized, symptomatic COVID patients should be counted as “under-counted” hospitalizations. We’ve entered the theater of the absurd! It’s certainly true that maxed-out hospitals must prioritize admissions based on the severity of cases. Some patients might be diverted to other facilities or sent home. Those decisions depend on professional judgement and sometimes on the basis of patient preference. But let’s not confuse beds that are unoccupied with beds that “should be occupied” if only every symptomatic COVID patient were admitted.

Regional Differences

Finally, here’s a little more information on regional variation in bed utilization from the HealthData.gov web site. The table below lists the top 25 states by staffed bed utilization at the end of November. A few states are highlighted based on my loose awareness of their status as “COVID “hot spots” this fall (and I’m sure I have overlooked a couple. Only two states were above 80% occupancy, however.

The next table shows the 25 states with the largest increase in staffed bed utilization during November. Only a handful would appear to be at all alarming based on these increases, but Missouri, for example, at the top of the list, still had 27% of beds unoccupied on November 30. Also, 21 states had decreases in bed utilization during November. Importantly, it is not unusual for hospitals to operate with this much headroom or less, which many administrators would actually prefer.

Of course, certain local markets and individual hospitals face greater capacity pressures at this point. Often, the most crimped situations are in small hospitals in underserved communities. This is exacerbated by more limited availability of staff members with school-age children at home due to school closures. Nevertheless, overall needs for beds look quite manageable, especially in view of some of the factors inflating COVID occupancy.

Conclusion

Marc Boom, President and CEO of Houston Methodist Hospital, had some enlightening comments in this article:

“Hospital capacity is incredibly fluid, as Boom explained on the call, with shifting beds and staffing adjustments an ongoing affair. He also noted that as a rule, hospitals actually try to operate as near to capacity as possible in order to maximize resources and minimize cost burdens. Boom said numbers from one year ago, June 25, 2019, show that capacity was at 95%.”

So there are ample beds available at most hospitals. A few are pinched, but resources can and should be devoted to diverting serious COVID cases to other facilities. But on the whole, the panic over hospital capacity for COVID patients is unwarranted.

The FDA Can Put Virus Behind Us, Sans Vaccine

19 Wednesday Aug 2020

Posted by Nuetzel in Liberty, Pandemic, Vaccinations

≈ 1 Comment

Tags

Alex Tabarrok, Anti-Vaxers, Coronavirus, COVID Screening, Covid-19, E25Bio, Emergency Use Authorization, False Positive, Falze Negative, FDA, Harvard, Infectious vs Infected, John Cochrane, National Basketball Players Association, NBA, Paper Tests, Rapid Tests, Regulatory Failure, SalivaDirect, Self-Quarantine, Test Accuracy, Tracing, Transmission Chain, Vaccine Development, Vaccine Supply Chain, Wyss Institute for Biologically Inspired Engineering, Yale, Zach Lowe

Most of the news about COVID vaccine development is positive, but there are still huge doubts about 1) whether an effective vaccine(s) will ever be available; 2) when it will be available; 3) in what quantities (supply chains for vaccines present issues that most lay persons would never imagine) ; 4) the best approaches to allocation across young/healthy vs. old/vulnerable; 5) how long it will provide protection (the news is good on lasting immunity as well); and 6) whether people will actually take it. Given all these uncertainties, it’s worth considering an approach to stanching the coronavirus that won’t require a vaccine while still allowing a return to normalcy: cheap, rapid tests available to consumers on a daily basis in their homes or in businesses.

The full benefits of cheap, rapid tests can take people a while to wrap their heads around. In fact, there are skeptics who’s views on any and all testing are colored by suspicions that increased testing is some sort of conspiracy to spread fear and keep the economy hobbled. It’s true that increased testing drove much of the increase in COVID cases this summer, which caused the mainstream media to delight in spinning alarmist narratives. Fair enough, but that misses the point, which I’ll try to elucidate below. I credit a John Cochrane post for bringing this to my attention.

A successful vaccine breaks the so-called “transmission chain”, but so does frequent testing to identify infectious individuals on an ongoing basis so they can self-quarantine. As Alex Tabarrok has emphasized, we should worry about identifying infectious individuals, as opposed to infected individuals. They are not the same. Cheap, rapid, and easy-to-administer tests have already proven to be fairly accurate during the infectious stage. The idea is for individuals to self-test every day and stay home if they are positive. Or, employers can test workers every day and send them home if they are positive. Frequent testing also makes it simpler to trace the source of an infection and may reduce the importance of tracing.

To those who say this represents an affront to personal liberty, and I’m very touchy on that subject myself, recall that even now people are being screened in their workplaces using thermometers, questionnaires, or on the basis of any frogginess perceived by supervisors and co-workers. Those “tests” are far less accurate in identifying COVID-19 contagiousness than the kinds of cheap tests at issue here, and they are certainly no less intrusive. Then there are the many businesses facing restrictions on their operations: how “accurate” is it to keep everyone at home by locking down places of business? How intrusive is that? Those restrictions are indefensible, and especially with the advent and diffusion of cheap, rapid tests.

Of course, people might cheat and not report positives. Tests could be administered at workplaces to avoid that possibility, or at points of admission to businesses and facilities, but a few minutes of delay would be necessary. I would not support a centralized database of daily test results. If nothing else, relying on the good faith of individuals in reporting their results would be a giant leap forward in breaking the transmission chain now, rather than counting on the possibility of a successful virus in the indefinite future. And we might then avoid the whole pro-vax/anti-vax imbroglio that already foments, which raises major questions bearing on individual liberty.

Then there is the question of positive tests within multi-person households. Should the entire family or household self-quarantine? I say no, not if the others are negative, but then the others should test twice before going out, which dramatically reduces the probability of a false negative, and they should probably test more frequently, perhaps several times a day.

There are other important details to address: Who will pay for the tests? Will workers be paid to stay home if they test positive? How long will they be required to stay home? How will repeated tests be treated? I don’t want to get into detail on all of these points, but cheap, fast tests can help overcome many of these difficulties, and I believe many of the details can and should be worked out privately.

Unfortunately, the FDA has approved only two rapid tests, and they are not very rapid and not cheap enough. Only one had been approved up until last weekend because the FDA found the accuracy to be lacking … compared to PCR tests! But the FDA finally issued an Emergency Use Authorization for a saliva-based test (SalivaDirect) developed at Yale, partly funded by the NBA and the Players Association. The test still requires processing at a lab, so it’s really not convenient enough and not fast enough. Here is Zach Lowe on the cost:

“The cost per sample could be as low as about $4, though the cost to consumers will likely be higher than that — perhaps around $15 or $20 in some cases, according to expert sources.”

Not bad, but it’s much higher than more rapid, paper tests developed by Harvard’s Wyss Institute for Biologically Inspired Engineering and a company called E25Bio. Both of those are expected to cost about $1 per sample and can be completed anywhere. That’s a price that can work. And there are other promising candidates.

The benefits of tests that are rough, ready, and cheap will be huge. Such tests will also enable retesting, which helps to overcome the dilemmas of false positives and negatives. False negatives might be of greater concern to the FDA, but again, false negatives are less likely during the contagious stage of an infection, and the tests will be accurate enough that transmission risk will be drastically reduced.

The FDA needs to move beyond its stodgy insistence on achieving laboratory levels of accuracy. It’s unlikely that a single test source will be adequate to stanch the transmission chain, so the agency should rush to approve as many cheap, rapid tests as possible, with as many advisories and patient warnings regarding test results and follow-up instructions as it deems necessary. Remember, these tests are much better than thermometers!

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OODA Looping

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