New AI tool predicts hip fracture risk years ahead

Stopping hip fractures is determined by figuring out individuals at excessive threat early. Researchers on the College of Gothenburg have now developed a brand new medical determination help instrument that makes this possible-without requiring clinic visits or affected person questionnaires.

Referred to as FRACTURE-ML, the instrument makes use of info already accessible in Sweden’s nationwide well being registers, together with diagnoses, prescription drugs, medical procedures, and demographic and socioeconomic information. It may possibly function an preliminary screening instrument to determine individuals who must be referred for additional analysis. In contrast to present fracture threat fashions, it doesn’t depend on patient-reported info or bodily examinations. 

The examine is printed in PLOS Drugs. It included greater than 3.5 million individuals in Sweden aged 50 years and older. Throughout the follow-up interval, greater than 142,000 individuals sustained a hip fracture.  

Early identification 

“Hip fractures typically lead to important struggling, lack of independence, and elevated mortality. On the identical time, we all know that many fractures will be prevented if individuals at excessive threat are recognized early. Our mannequin is superb at distinguishing between people at excessive and low threat and has the potential to change into an vital instrument for preventive care,” says Mattias Lorentzon, Professor of Geriatric Drugs at Sahlgrenska Academy, College of Gothenburg. 

The researchers developed and in contrast a number of statistical fashions, together with trendy machine studying approaches. The ultimate mannequin was capable of present dependable individualized threat estimates one, two, 5, and ten years into the longer term. 

“What makes the mannequin distinctive is that it depends fully on registry information, making it appropriate for large-scale inhabitants screening with out putting an extra burden on healthcare by in depth affected person assessments. This creates alternatives for earlier intervention and extra exact prevention,” says Kristian Axelsson, first creator of the examine and researcher at Sahlgrenska Academy, College of Gothenburg. 

Figuring out extra individuals in danger 

In the present day, individuals at excessive threat of fracture are usually recognized solely after they’ve already sustained a fracture by Fracture Liaison Providers (FLS). In contrast, FRACTURE-ML can determine individuals at excessive threat earlier than their hip fracture happens. In contrast with present follow, the instrument might determine practically seven occasions as many individuals at excessive threat of hip fracture inside two years. 

“With this sort of medical determination help, healthcare suppliers might direct preventive measures to the suitable individuals on the proper time. These measures could embody bone density testing, fall prevention interventions, or medicine for osteoporosis,” says Mattias Lorentzon. 

The subsequent step is to judge the mannequin in extra nations and decide the way it can greatest be applied in medical follow. 

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