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Home/Large Joints and Extremities/Mortality Rates Chopped in Half Due to…Data?
Large Joints and Extremities

Mortality Rates Chopped in Half Due to…Data?

September 26, 2014 1 min read Premium comments

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Mortality Rates Chopped in Half Due to…Data?
Mortality rate map of the world. / Source: Wikimedia Commons and leftcry
Secondary

Because they have a national registry, researchers in the UK have learned that mortality after hip and knee replacement surgery in England, Wales and Northern Ireland has dropped by half in the eight years since 2003. Zasia Kmietowjcz, writing for the British Medical Journal (BMJ), reports that 90-day mortality rates after hip replacements fell from 0.56% in 2003 to 0.29% in 2011. The 45-day mortality rates after knee replacement fell from 0.37% to 0.2% over the same period.

The 10-year revision rates for hip and knee replacements are now less than 5%. Rates vary according to age, with younger patients more likely to need to have an implant replaced. The National Joint Registry holds data on more than 1.6 million cases of joint replacement, which it has been collecting since 2003. Doctors replaced 2205, 686 hips, knees and shoulders in 2013.

The UK also has a National Hip Fracture Database which reveals the care given to 64, 938 hip fracture patients in England, Wales and Northern Ireland. It found that the average 30-day mortality in 2013 was 8.05%, down from 8.1% in 2011-12. That amounted to 300 fewer people dying within 30 days of fracturing their hip.

Martyn Porter, MB ChB FRCS(Ed) FRCS Ed(Orth), the registry’s medical director, said, “Whilst standards in British orthopaedics are high, I must encourage my colleagues to scrutinize and engage with National Joint Registry data on a regular basis to evaluate where additional benefits for patients can be maximized.”

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Discussion

14
DS
Dr. Sarah MitchellOrthopedic Surgeon · Mayo Clinic

This is a fascinating development. In my practice we've seen similar outcomes with the revised protocol. The key differentiator seems to be patient selection criteria. Has anyone else noticed the correlation with BMI thresholds?

8
JT
James Thornton, MDSpine Fellow · HSS

Great point. I'd push back slightly on the conclusion, the sample size in the cited study is too small to draw population-level inferences. That said, the directional signal is compelling and worth a larger RCT.

5
RP
R. PatelSports Medicine · Stanford

We implemented a similar approach last year. Early results are promising but we're still gathering 12-month follow-up data. Happy to share our protocol if anyone is interested.

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