Wednesday, July 13, 2011

BMC Study: A Crowded Viral Field

 

 

 

# 5689

 

 

While it is a distinction often lost on the public, doctors know that during the height of every flu season the majority of patients reporting `flu-like symptoms’ likely have something other than influenza.

 

Even during the opening weeks and months of the H1N1 pandemic of 2009, a large percentage – perhaps even a majority – of people who either thought (or they were told) they had `swine flu’, had something else.

 

In October of 2009, during the height of the fall wave of the H1N1 pandemic, I posted the following graphic on my blog.

image

Of the more than 10,000 samples submitted for testing during the 1st week of October 2009, more than 72%almost 3/4ths –  came back negative for influenza.

 

ILIs or Influenza-Like Illnesses, like adenovirus, parainfluenza, rhinovirus and others are often indistinguishable from influenza without laboratory tests.

 

Most of the time, it doesn’t matter much.  

 

Unless there are serious complications – often exacerbated by pre-existing medical conditions - viral illnesses generally resolve themselves after a few days without medical intervention.

 

Which is why doctors don’t automatically run expensive and time consuming lab tests on every `flu’ patient that shows up a their door.

 

The odds are, the patient will have recovered before the results come back.

 

But during a pandemic, when rapid decisions must be made regarding patient isolation and the administration of antivirals, things become more complicated. 

 

 

We’ve a new study appearing in BMC Infectious Diseases that looks at laboratory testing on thousands of people clinically diagnosed with `H1N1 Swine Flu’ in Scotland during the opening months (April-July) of the 2009 outbreak.

 

image

 

It turns out that of the more than 16,000 patients tested for the H1N1 virus by the West of Scotland Specialist Virology Centre (WoSSVC) in Glasgow over a 4 month period, only 9% were actually positive for the Swine flu virus.

 

Using real time reverse transcriptase polymerase chain reaction (rtRT-PCR) assays, the laboratory was able to screen 3247 of these negative samples for a wide variety of respiratory pathogens;

 

  • Influenza A (generic & H1N1/2009 specific)
  • Influenza B and C
  • RSV
  • Rhinovirus
  • Parainfluenza 1-4
  • Human metapneumovirus
  • Coronavirus (229E, NL63, HKU1 & OC43)
  • Adenovirus
  • Mycoplasma pneumoniae

 

Despite the broad scope and sensitivity of these lab tests, more than 70% of those patients diagnosed with the swine flu tested negative for any of the above listed respiratory illnesses.

 

First a link to the study (open access), and then I’ll return with a little more.

 

During the summer 2009 outbreak of "swine flu" in Scotland what respiratory pathogens were diagnosed as H1N1/2009?

Rory N Gunson email and William F Carman email

BMC Infectious Diseases 2011, 11:192doi:10.1186/1471-2334-11-192

Background

During the April-July 2009 outbreak of H1N1/2009 in scotland the West of Scotland Specialist Virology Centre (WoSSVC) in Glasgow tested >16 000 clinical samples for H1N1/2009. Most were from patients clinically diagnosed with H1N1/2009. Out of these, 9% were positive. This study sought to determine what respiratory pathogens were misdiagnosed as cases of H1N1/2009 during this time.

Methods

We examined the results from 3247 samples which were sent to the laboratory during April-July 2009. All were from patients clinically diagnosed as having H1N1/2009 (based on accepted criteria) and all were given a full respiratory screen using real time reverse transcriptase polymerase chain reaction (rtRT-PCR) assays.

Results

In total, respiratory pathogens were detected in 27.9% (95% confidence interval, 26.3-29.5%) of the samples submitted. Numerous pathogens were detected, the most common of which were rhinovirus (8.9% (95% confidence interval, 7.9-9.9%)), parainfluenza 1 (1.9% (95% confidence interval, 1.4-2.4%)) and 3 (4.1% (95% confidence interval, 3.3-4.9%)), and adenovirus ((3.5% (95% confidence interval, 2.9-4.2%)).

Conclusions

This study highlights the problems of using a clinical algorithm to detect H1N1/2009. Clinicians frequently misdiagnosed common respiratory pathogens as H1N1/2009 during the spring/summer outbreak in Scotland. Many undesirable consequences would have resulted, relating to treatment, infection control, and public health surveillance.

 

The complete article is available as a provisional PDF. The fully formatted PDF and HTML versions are in production.

 

You may be wondering about the 70% of these samples that tested negative for any respiratory pathogen. 

 

  • Some of these cases may have involved the `worried well’, people who – due the publicity given the outbreak – rushed to their doctors with imagined symptoms (see Pandemics And The `Worried Well’).

 

  • Samples taken included gargles, throat swabs, nasal
    swabs, nasopharyngeal aspirates, sputums, and endotracheal secretions – and collection techniques and transport issues, along with the timing of taking these samples - could have produced some false negatives.

 

  • Some of these samples (especially early on) may have come from asymptomatic patients who were exposed to a known or suspected H1N1 case (part of the Epidemiological Criteria for testing).

 

  • And while the list of pathogens tested for was extensive, it was by no means complete; Coronavirus HKU1, Boca Virus HBoV, and many viral and bacterial pathogens were not included in the screening panel.

 

Apart from giving us a better insight into the spectrum of non-flu viruses in circulation (even in the summer), this study highlights the need for rapid and reliable in-office flu tests during a pandemic.

 

Clinical diagnostic algorithms may be useful, are limited in their ability exclude non-pandemic viral illnesses.