Dataset Information

The incidence of hip fractures in Norway -accuracy of the national Norwegian patient registry.

ABSTRACT:

Background

Hip fractures incur the greatest medical costs of any fracture. Valid epidemiological data are important to monitor for time-dependent changes. In Norway, hip fractures are registered in the Norwegian Patient Registry (NPR), but no published national validation exists. The aim of the present study was a national validation of NPR as a register for hip fractures using diagnostic codes (ICD-10 S 72.0-2) and/or procedure codes (NOMESCO version 1.14 NFBxy (x=0-9, y=0-2) or NFJxy (x=0-9, y=0-2).

Method

A nationwide, population-based cohort comprising a random sub-sample of 1,000 hip fracture-related entries for the years 2008-09 was drawn from the NPR. 200 entries were defined by a combination of diagnostic and procedure codes (subsample 1), 400 entries were defined by diagnostic codes only (subsample 2) and 400 entries were defined by procedure codes only (subsample 3). Accuracy was ascertained through comparison with discharge summaries, procedure notes and X-ray reports requested from 40 health institutions. Comparisons between groups were done by chi2 for categorical and t-test for continuous variables.

Results

792 health records from 32 institutions were reviewed. High accuracy (98.2%, 95% C.I. 96.5-99.9%) was found for subsample 1, a combination of diagnostic and procedure codes. Coding errors were prominent in other subsamples. Defining fractures by a combination of diagnostic and procedure codes, annual average hip fracture incidence in Norway was 9,092 (95% C.I. 8,934 -9,249), excluding only 6.5% of all hip fractures defined by wider definitions.

Conclusions

Based on current coding practice in Norway, a reliable national estimate of hip fracture incidences is found by a combination of relevant ICD-10 and NOMESCO codes in the NPR. This method may be used for monitoring epidemiological changes.

SUBMITTER: Hoiberg MP

PROVIDER: S-EPMC4247646 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Publications

The incidence of hip fractures in Norway -accuracy of the national Norwegian patient registry.

Høiberg Mikkel P MP Gram Jeppe J Hermann Pernille P Brixen Kim K Haugeberg Glenn G

BMC musculoskeletal disorders 20141113

<h4>Background</h4>Hip fractures incur the greatest medical costs of any fracture. Valid epidemiological data are important to monitor for time-dependent changes. In Norway, hip fractures are registered in the Norwegian Patient Registry (NPR), but no published national validation exists. The aim of the present study was a national validation of NPR as a register for hip fractures using diagnostic codes (ICD-10 S 72.0-2) and/or procedure codes (NOMESCO version 1.14 NFBxy (x=0-9, y=0-2) or NFJxy ( ...[more]

PMID: 25394865

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Project description:Understanding the incidence and subsequent mortality following hip fracture is essential to measuring population health and the value of improvements in health care.To examine trends in hip fracture incidence and resulting mortality over 20 years in the US Medicare population.Observational study using data from a 20% sample of Medicare claims from 1985-2005. In patients 65 years or older, we identified 786,717 hip fractures for analysis. Medication data were obtained from 109,805 respondents to the Medicare Current Beneficiary Survey between 1992 and 2005.Age- and sex-specific incidence of hip fracture and age- and risk-adjusted mortality rates.Between 1986 and 2005, the annual mean number of hip fractures was 957.3 per 100,000 (95% confidence interval [CI], 921.7-992.9) for women and 414.4 per 100,000 (95% CI, 401.6-427.3) for men. The age-adjusted incidence of hip fracture increased from 1986 to 1995 and then steadily declined from 1995 to 2005. In women, incidence increased 9.0%, from 964.2 per 100,000 (95% CI, 958.3-970.1) in 1986 to 1050.9 (95% CI, 1045.2-1056.7) in 1995, with a subsequent decline of 24.5% to 793.5 (95% CI, 788.7-798.3) in 2005. In men, the increase in incidence from 1986 to 1995 was 16.4%, from 392.4 (95% CI, 387.8-397.0) to 456.6 (95% CI, 452.0-461.3), and the subsequent decrease to 2005 was 19.2%, to 369.0 (95% CI, 365.1-372.8). Age- and risk-adjusted mortality in women declined by 11.9%, 14.9%, and 8.8% for 30-, 180-, and 360-day mortality, respectively. For men, age- and risk-adjusted mortality decreased by 21.8%, 25.4%, and 20.0% for 30-, 180-, and 360-day mortality, respectively. Over time, patients with hip fracture have had an increase in all comorbidities recorded except paralysis. The incidence decrease is coincident with increased use of bisphosphonates.In the United States, hip fracture rates and subsequent mortality among persons 65 years and older are declining, and comorbidities among patients with hip fractures have increased.

Project description:BackgroundLess experienced clinicians sometimes make misdiagnosis of hip fractures. We developed computer-aided diagnosis (CAD) system for hip fractures on plain X-rays using a deep learning model trained on a large dataset. In this study, we examined whether the accuracy of the diagnosis of hip fracture of the residents could be improved by using this system.MethodsA deep convolutional neural network approach was used for machine learning. Pytorch 1.3 and Fast.ai 1.0 were applied as frameworks, and an EfficientNet-B4 model (a pre-trained ImageNet model) was used. We handled the 5295 X-rays from the patients with femoral neck fracture or femoral trochanteric fracture from 2009 to 2019. We excluded cases in which the bilateral hips were not included within an image range, and cases of femoral shaft fracture and periprosthetic fracture. Finally, we included 5242 AP pelvic X-rays from 4851 cases. We divided these 5242 images into two images per image, and prepared 5242 images including fracture site and 5242 images without fracture site. Thus, a total of 10,484 images were used for machine learning. The accuracy, sensitivity, specificity, F-value, and area under the curve (AUC) were assessed. Gradient-weighted class activation mapping (Grad-CAM) was used to conceptualize the basis for the diagnosis of the fracture by the deep learning algorithm. Secondly, we conducted a controlled experiment with clinicians. Thirty-one residents;young doctors within 2 years of graduation from medical school who rotate through various specialties, were tested using 300 hip fracture images that were randomly extracted from the dataset. We evaluated the diagnostic accuracy with and without the use of the CAD system for each of the 300 images.ResultsThe accuracy, sensitivity, specificity, F-value, and AUC were 96.1, 95.2, 96.9%, 0.961, and 0.99, respectively, with the correct diagnostic basis generated by Grad-CAM. In the controlled experiment, the diagnostic accuracy of the residents significantly improved when they used the CAD system.ConclusionsWe developed a newly CAD system with a deep learning algorithm from a relatively large dataset from multiple institutions. Our system achieved high diagnostic performance. Our system improved the diagnostic accuracy of residents for hip fractures.Level of evidenceLevel III, Foundational evidence, before-after study.Clinical relevancehigh.

Dataset Information

The incidence of hip fractures in Norway -accuracy of the national Norwegian patient registry.

Background

Method

Results

Conclusions

Publications

The incidence of hip fractures in Norway -accuracy of the national Norwegian patient registry.

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