Viral or Bacterial Infection? A Blood Test

This is another “someday, in the future” article that made the rounds with the news releases yesterday – where, supposedly, within a few hours of infection, there are significant differences in phagocyte chemiluminescence that allow researchers to differentiate between viral and bacterial infections.

As usual, the breathless commentary is a little ahead of the actual research results.  What the authors did was a data-mining experiment from 69 patients, each of whom had been diagnosed (through standard clinical practice) with either a viral infection, or a bacterial infection.  They ran all the polymorphonuclear leukocytes through their assay, recorded several different sorts of chemoluminescence, and then let computer software do a partitioning analysis to determine the most predictive patterns for bacterial and viral infections.

The software trained to 94.7% accuracy on the “knowns”, and then, when tested on a confusion sample with 18 “unknowns” it was 88.9% accurate.

So, still not good enough for clinical use as a dichotomous result, but if it were allowed to return an equivocal range that quantified the assay uncertainty, then perhaps it could have a role in clinical practice.  In theory, an assay such as this might otherwise reduce additional testing and help reduce the number of viral infections that receive antibiotics.

“Differentiation Between Viral and Bacterial Acute Infectious Using Chemiluminescent Signatures of Circulating Phagocytes”
http://www.ncbi.nlm.nih.gov/pubmed/21517122

Tranexamic Acid – Critique of CRASH-2

These authors review the literature regarding TXA and it’s cost/risk/benefit for hemostatic control of injured trauma patients.  Of course, this specifically means they review the single significant piece of literature for TXA – the CRASH-2 trial published in the Lancet.

I’m not sure I entirely agree with their premise that TXA is safer because it is just an antifibrinolytic rather than an activator of clotting/platelet aggregation – clot formation and breakdown is a dynamic process and any interference in that system carries a risk.  But, they do a fairly detailed look at TXA and the CRASH-2 trial, and I think they make a fair and defensible point that, while the NNT is pretty high, it is a fairly low cost intervention with a relevant outcome variable of overall mortality.

While a study with 20,000 patients is a nice start, I’d still like to see at least one other prospective study replicating similar results with an appropriate safety analysis.

“Tranexamic Acid for Trauma Patients: A Critical Review of the Literature”
www.ncbi.nlm.nih.gov/pubmed/21795884

We Still Can’t Predict Cardiac Outcomes in Syncope

The authors of this article claim that the San Francisco Syncope Rule – which we’ve already put out to pasture – has simple EKG criteria that “can help predict which patients are at risk of cardiac outcomes”.

And, they’re only possibly partly right.  Out of the 644 patients in their cohort they followed for syncope, they had 42 cardiac events within their 7-day follow-up period.  Of those 42, 36 met the criteria for “abnormal EKG”.  If you had a completely normal EKG, it was 6 out 428 that had a cardiac event, which gave them a 99% NPV upon which they base the quoted statement above.

But the positive criteria wasn’t adequately predictive enough to be helpful in making hospitalization decisions – 216 patients had abnormal EKGs, but only 36 had a cardiac outcome.  And then, there are significant differences in the patients who had abnormal EKGs, and even more differences with the patients who had cardiac outcomes – the cardiac outcome cohort had an average age of 78.6 compared to the noncardiac outcome cohort average age of 61.0, with probably even more comorbid differences they don’t tell us about.

So, a normal EKG is probably helpful in making your decision – but being younger and healthier probably accounts for more of the differences between their groups.

“Electrocardiogram Findings in Emergency Department Patients with Syncope”
www.ncbi.nlm.nih.gov/pubmed/21762234

CT Is No Longer Adequate To Clear C-Spine

The insanity never stops.  It’s a good thing MRI is becoming increasingly available, because the more papers like this are published in major journals, the more we’re going to be stuck following every possible outcome to it’s bitterest end with the strongest microscope we have.

There a lots of problems with using this paper to change practice – of their 9152 patients undergoing CT for trauma, 741 had persistent midline tenderness leading towards MRI.  Of those 741, only 174 were enrolled for a variety of reasons.  And this study doesn’t tell us enough useful information to help distinguish the characteristics of the 78 patients in whom an injury was detected to help us differentiate them from the patients in whom no injury was detected.

But the fact remains, they identified serious injuries on MRI in patients who had negative CTs – and not just obtunded, intubated, polytrauma patients like in the other studies.

Just one more thing to worry about.

“Cervical Spine Magnetic Resonance Imaging in Alert, Neurologically Intact Trauma Patients With Persistent Midline Tenderness and Negative Computed Tomography Results”
http://www.ncbi.nlm.nih.gov/pubmed/21820209

The Slow Death of the Lumbar Puncture

As modern CT scanners become more sensitive, the ability of scanners to discriminate smaller and small abnormalities – such as spontaneous aneurysmal subarachnoid hemorrhage – continues to increase.  This BMJ paper makes another case for forgoing lumbar puncture in patients with a negative CT scan.

Specifically, they say that all the SAH in their cohort was picked up by a 3rd generation scanner as long as the scan was performed within six hours of headache onset.  Unfortunately, this is another one of those studies that uses follow-up as a proxy for the gold standard evaluation – only half of their enrolled cohort underwent lumbar puncture.  They followed up their patients for six months, but survival at six months doesn’t rule out pathology, it only rules out death from that specific pathology, and only if an autopsy was performed.

But, CT scan is starting to get close to the point where the false negatives of CT are equivalent to the false positives of the lumbar puncture – and I would imagine the costs and harms to the patient begin to approach equivalence.  It definitely changes the equation for your patients when you come back with a negative CT scan and your patient wants to know what the chances are they really need this lumbar puncture.

“Sensitivity of Computer Tomography Performed Within Six Hours of Headache For Diagnosis of Subarachnoid Haemorrhage: Prospective Cohort Study”
www.ncbi.nlm.nih.gov/pubmed/21768192

High-Risk Discharge Diagnoses

Good news – only 0.05% of your discharged patients will meet an untimely end within 7 days of the Emergency Department visit.  Not a frightening number, but definitely enough to keep you on your toes.

It’s a retrospective Kaiser Health System cohort of 728,312 visits across two years, and the authors calculated the base rate of 50 per 100,000, as well as looking at other features and discharge diagnoses that increased the OR for death within 7 days.  And, even the sickest, most elderly have OR that are low enough that you’re still going to have good outcomes the overwhelming preponderance of the time.  Age greater than 80 gives an OR of 10.6 and a score >3 on the Charlson Comorbidity Index gives an OR of 6.7.  As for the diagnoses they found that are most highly associated with bad outcomes – the only two with OR great than 5 are noninfectious lung disease (OR 7.1) and renal disease (OR 5.6).  These are kind of interesting buckets of diagnoses, specifically in the sense regarding how nonspecific they are – which the authors attribute to diagnostic uncertainty.  I.e., the reason why patients had bad outcomes with “noninfectious lung disease” is because clinicians missed finding the specific morbid diagnosis in these patients.
I don’t think this is practice-changing news, since these rates are so low in general that additional testing and hospitalization will harm more people than these missed diagnoses – but it’s an interesting number crunch article.
“Patterns and Predictors of Short-Term Death after Emergency Department Discharge”

Against Medical Advice

This is a nice review article that shows a mix of different issues associated with signing a patient out AMA.  It’s a strange practice environment we have here, where EM is turning into an increasingly customer-centric practice specialty – yet unless we have airtight documentation, our customers can litigate against us for the choices they make.

In principle, our patients have the autonomy to make their own decisions – but our cultural values have drifted away from accepting responsibility for our actions.  To best protect ourselves, the authors recommend using a specific AMA form – not because having the patient’s signature on a form confers any extra legal protection, but because it’s a structured document that helps remind clinicians to document the two key elements of the AMA:  that the patient had medical capacity to make the decision, and that the patient was adequately informed of the risks.   After you satisfy both those conditions, the key is simply complete documentation in the medical record, and you should be afforded some protection given the patient has now terminated the legal duty to treat and assumed the risk for further poor outcomes.

“The Importance of a Proper Against-Medical-Advice (AMA) Discharge”
www.ncbi.nlm.nih.gov/pubmed/21715123

Physicians Will Test For PE However They Damn Well Please

Another decision-support in the Emergency Department paper.

Basically, in this study, an emergency physician considered the diagnosis of pulmonary embolism – and a computerized intervention forced the calculation of a Wells score to help guide further evaluation.  Clinicians were not bound by the recommendations of the Wells calculator to guide their ordering.  And they sure didn’t.  There were 229 patients in their “post-intervention” group, and 26% of their clinicians said that evidence-based medicine wasn’t for them, and were “non-compliant” with their testing strategy.

So, did the intervention help increase the number of positive CTAs for PE?  Officially, no – their trend from 8.3% positive to 12.7% positive didn’t meet significance.  Testing-guideline complaint CTA positivity was 16.7% in the post-intervention group, which, to them, validated their intervention.

It is interesting that a low-risk Wells + positive d-Dimer or high-risk Wells cohort had only a 16% positive rate on a 64-slice CT scanner – which doesn’t really match up with the original data.  So, I’m not sure exactly what to make of their intervention, testing strategy, or ED cohort.  I think the take home point is supposed to be, if you you can get evidence in front of clinicians, and they do evidence-based things, outcomes will be better – but either this just was too complex a clinical problem to tackle to prove it, or their practice environment isn’t externally valid.

Should Rural Health Care Be Equivalent?

“All residents in the United States should have access to safe, high-quality health care and should have confidence in the health care system regardless of where they live.”

That is the final statement of the accompanying editorial to the JAMA article documenting superiority in outcomes in urban hospitals vs. critical care access rural hospitals for acute MI, CHF, and pneumonia.  The acute MI study population is slightly more ill at baseline in the rural hospital sample, but the groups are otherwise similar.  Raw mortality is higher for AMI (26.1% vs 23.9% adjusted), CHF (13.4% vs. 12.5%) and pneumonia (13.0% vs. 12.5% [not significant]) favoring urban hospitals.

The key feature – critical access hospitals were less likely to have ICUs, cardiac cath, surgical capabilities, and had reduced access to specialists.  Is it any wonder their outcomes are worse?  As someone who moonlit in one of these hospitals as a resident, I can guarantee the standard of care in a rural setting is lower.

But, coming back to the original supposition – is it realistic to dedicate the funding and resources to bring rural hospitals up to the standard?  To equip far-flung hospitals with the same standard of care as urban settings to cover the remaining 20% of the population is likely simply an unfeasible proposition.  Living in rural areas is simply going to come with the risks associated with unavoidable delays in care and reduced access to specialists and technology.

“Quality of Care and Patient Outcomes at Critical Access Rural Hospitals”
www.ncbi.nlm.nih.gov/pubmed/21730240
“Critical Access Hospitals and the Challenges to Quality Care”
www.ncbi.nlm.nih.gov/pubmed/21730248

It’s Impossible To Catch All Pediatric Pneumonia

Another glass half-full vs half-empty, depending on how you read it.  Their editor capsule summary says “Children without hypoxia, fever, and ausculatory findings are low risk.”  The numbers say – in the absence of hypoxia, fever, or focal ausculatory findings, radiographic pneumonia was seen in 7.6% (CI 5.3-10.0).  Interesting numbers that, to me, say that pediatric pneumonia is still a black box of uncertainty.

However, what the authors call “definite” pneumonia was only 2.9% in the absence of those findings, and the editor’s capsule conclusion is that low-risk patients are best served by follow-up rather than radiology.  And, this is where the half-full/half-empty comes in – because a lot of EPs don’t want to the guy that sends home pneumonia even in a “low risk” situation, given than 30% of their pneumonia diagnoses required admission.  I’d rather take the half-full approach – recognizing that the majority of radiographic pneumonias are viral anyway, and, if the patient has adequate follow-up and tunes up nicely, do my best to avoid unnecessary testing in a low pretest probability setting that will end up with more false positives and unnecessary antibiotics.

“Prediction of Pneumonia in a Pediatric Emergency Department”