Visual Estimation of Blood Loss

Having a sense of how much blood a trauma patient “spilt” on the ground can be very helpful for understanding and estimating the casualty’s potential for shock. Unfortunately, accurate visual estimation of blood loss and external blood volume is very challenging.

A Simple method for estimating blood loss:

As a former SF medic and Emergency Care Practitioner, I lean more toward describing blood loss in three categories:

1 – “There was some bleeding” – It looked more dramatic than serious, likely < 500 ml

2 – “There was a lot of blood” – It was dramatic and concerning, likely 500ml to 1 L

3 – “There was a shit-load of bleeding” – I seriously wondered if somebody was going to die right now, likely much more than a litre.

Inaccuracies in the visual estimation of blood loss:

While most paramedics report a visual estimation of blood loss at the scene of trauma patients, half don’t believe their own estimation is accurate. Across multiple studies, there is no correlation between the accuracy of the visual estimation of blood loss, the level of training, or years of EMS experience.

Even among physicians, accurate estimates of spilt blood volume are difficult. Anesthesiologists tend to overestimate and surgeons underestimate blood loss.

In one study, 92 EMS providers had an accuracy rate of 8% in estimating the volume of blood at a simulated accident scene. Accurate was defined as within 20% of the actual volume. They could only estimate to within 50% accuracy a quarter of the time. 87% underestimated the quantity of blood. Generally, small volumes of blood (150 ml) are overestimated and large volumes are underestimated.

Estimations of blood volume on carpets and concrete tend to lead to large underestimations. One litre of blood on the carpet had a mean estimation of 347 ml. 1,500 ml of blood on the concrete had a mean estimation of 885 ml. This means providers typically underestimate the actual blood volume by 1/2 to 2/3. In the same study, clothing led to substantial overestimation. 500 ml blood volume on clothing resulted in an average guess of a mean estimate of 1,253 ml. This is an overestimation of 2 to 3 fold.

The MAR method

In the last few years, the “MAR method” has gained popularity to estimate blood loss. This is similar in concept to the Palmer method of burn estimation. The MAR method advises the amount of blood volume that can be covered with one fist of the provider is about 20 ml. In this case, the prehospital provider places their fist, palm up, 2 inches above the blood pool. In this estimation model, the number of side-by-side “fists” it takes to cover the blood pool multiplied by 20 ml provides the estimated volume.

Problems with this method include:

The time it would take to count side-by-side fists over a larger blood pool the study was only done on non-absorbent surfaces (carpet or clothing wouldn’t allow the method to work in the authors’ opinion); and the need to place the fist so close to the blood pool. If the fist is higher than 2 inches, it covers more space and thus accounts for increased estimated volume. Think about what you can see looking through a pinhole close to your eye versus at a distance.

Using this method in large volume estimations (750 ml) increased the accuracy by 40% compared to a simple visual guess/estimation. However, this still wasn’t particularly accurate, underestimating a 750 ml blood pool by 20%. Simple visual best guess was slightly more accurate on average in estimating the blood volume, but had a much wider standard deviation, meaning the range of guesses was quite broad. Statistics that make this method look better, but is it?

Take-home points:

Accurate estimation of blood volume is very difficult. Porous surfaces like carpet, grass, and gravel encourage underestimation because the blood soaks in and there is no way to account for this. Clothing seems to lead to massive overestimation. One fist covers about 20 ml blood volume but using your fist to estimate a litre of blood loss would require 50 “fists”. How practical is that?

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