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New Insights into Hip Osteoarthritis and Shape

Research identifies key hip measurements related to osteoarthritis risk.

― 6 min read


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Osteoarthritis (OA) is a common condition that causes pain and disability in many people around the world. One of the joints often affected by OA is the hip, which is the third most common joint to experience this issue. Researchers believe that the shape of the hip can play a role in the development of hip OA. Over the years, studies have looked at different measurements of hip shape to figure out if they relate to hip OA, but many of these studies focused on measures one at a time and did not consider differences between men and women.

What Are Geometric Parameters of the Hip?

The shape of the hip can vary between males and females. For example, women generally have a larger neck shaft angle and smaller femoral head and neck compared to men. Hip shape measurements, such as femoral neck width, hip-axis length, and the diameter of the femoral head, can all be connected to body size. This makes it tough to see how these shape measures relate to hip OA when studied alone.

A new approach called Statistical Shape Modelling (SSM) looks at the entire hip joint rather than focusing on individual measurements. While this method helps in looking at the joint's shape, it can be difficult to pinpoint which specific shape aspects are related to hip OA. This is why researchers decided to look at each measurement separately.

The UK Biobank Study

The UK Biobank study is a large project that has scanned the hips of around 40,000 participants using a special type of X-ray called dual-energy X-ray absorptiometry (DXA). This method helps to take detailed images of the hip and is safer because it uses a lower amount of radiation than traditional X-rays. Researchers aim to use this study's data to better understand the connections between hip shape measurements and hip OA.

Study Objectives

In this research, the team had several goals:

  1. To see how hip shape measurements relate to body size.
  2. To look at the connections between these measurements and hip OA as seen on X-rays and through hospital diagnoses.
  3. To investigate how these measurements relate to total hip replacements over time.
  4. To find out which of these measurements have independent relationships with hip OA when considering the others.

Study Methods

The UK Biobank study started between 2006 and 2010 and gathered data from over 500,000 adults aged 40 to 69. Participants provided information through surveys, underwent physical exams, and had their medical records accessed. The DXA scans were performed on both hips, and each participant's legs were placed in a specific position to obtain accurate images.

A computer program was used to outline important points on the hip images to help measure the geometric parameters accurately. Researchers defined the measurements as follows:

  • Femoral Neck Width (FNW): The shortest distance across the femoral neck.
  • Diameter of the Femoral Head (DFH): The width of the femoral head.
  • Hip Axis Length (HAL): The length from the base of the greater trochanter to the femoral head.

Clinical Outcomes

To investigate the clinical outcomes of hip OA, researchers accessed hospital data and looked for cases of hip OA and those who underwent hip replacements. The study analyzed factors such as age, sex, height, and weight to assess their impact on the relationships between hip shape measurements and hip OA.

Findings

Overall, the study included 40,312 individuals. The average age of participants was around 63 years, and the data showed that more men than women had radiographic hip OA. The researchers discovered that the measurements of FNW, DFH, and HAL were larger in men compared to women.

FNW and Hip OA

The analysis showed a strong link between a wider femoral neck and worse grades of hip OA. As FNW increased, the risk of having more severe OA also increased. This pattern was consistent even after adjusting for age, sex, height, and weight. The findings suggested that a wider neck is a significant factor in the development of hip OA.

HAL and Hip OA

For hip axis length, a longer measurement was also connected to more severe OA grades, but the strength of this association lessened when researchers adjusted for other factors. This means that while HAL was linked to hip OA, it was not as strong a predictor as FNW.

DFH and Hip OA

The diameter of the femoral head initially showed a positive association with hip OA, meaning larger heads were linked to more severe OA. However, once other shape measurements were considered, this relationship flipped, suggesting that a smaller femoral head may be a risk factor for hip OA.

Implications of the Findings

This study is significant because it examined a large number of participants and used advanced imaging techniques to look at hip shape. The results highlight the importance of the femoral neck width in predicting the risk of hip OA. This suggests that paying more attention to FNW could help in early identification of individuals at risk for developing hip OA.

While the study found relationships between hip shape parameters and OA, it also pointed out that the overall understanding of these connections is still developing. The researchers noted that their findings do not prove causation – meaning they can’t say one causes the other – and that further research is necessary.

Limitations of the Study

Though this research provided valuable insights, there are also limitations. The study was observational, which means it cannot determine cause and effect. Most participants were Caucasian, which raises questions about whether the findings apply across different ethnic groups. Additionally, the study did not focus on the specific sides of the body when looking at clinical outcomes, which could affect the results.

Conclusion

The study concluded that three important measurements related to hip shape can be derived from advanced scans and that these measurements relate to the risk of hip OA. Specifically, a wider femoral neck showed the strongest associations with the risk of OA and future hip replacements. The study opens up opportunities for better screening and understanding of hip OA, but more research is needed to explore how these measurements can help predict hip OA risk and manage treatment options effectively.

Original Source

Title: Hip geometric parameters are associated with radiographic and clinical hip osteoarthritis: findings from a cross-sectional study in UK Biobank

Abstract: ObjectivesTo examine the extent to which geometric parameters derived from dual-energy x-ray absorptiometry (DXA) scans in the UK Biobank (UKB) study are related to hip osteoarthritis (HOA) independently of sex, age and body size. MethodsFemoral neck width (FNW), diameter of the femoral head (DFH) and hip axis length (HAL) were derived automatically from left hip DXA scans in UKB using outline points placed around the hip by a machine-learning program. Correlations were calculated between geometric parameters, age, height, and weight. Logistic regression was used to examine the relationship of geometric parameters with radiographic hip osteoarthritis (rHOA), and hospital diagnosed HOA (HESOA), and Cox proportional hazards model to evaluate the relationship with total hip replacement (THR). Analyses were adjusted for sex, age, height, weight, and geometric parameters. ResultsComplete data were available for 40,312 participants. In age and sex-adjusted analyses, FNW, HAL and DFH were all related to increased risk of rHOA. Despite strong relationships between geometric parameters and body size, relationships between geometric parameters and HOA showed little attenuation after adjustment for height and weight. Following mutual adjustment, both HAL and FNW retained independent relationships with rHOA, while DFH was now protective. Only FNW was independently related to HESOA and THR. ConclusionGreater FNW and HAL were independently related to an increased risk of rHOA, whereas greater DFH appeared to be protective. Greater FNW was independently predictive of HESOA and THR. These results suggest DXA-derived geometric parameters, particularly FNW, could help to predict HOA and THR risk.

Authors: Benjamin G Faber, S. V. Heppenstall, R. Ebsim, F. R. Saunders, C. Lindner, J. S. Gregory, R. M. Aspden, N. C. Harvey, T. Cootes, J. H. Tobias, M. Frysz

Last Update: 2023-03-29 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2023.03.28.23287740

Source PDF: https://www.medrxiv.org/content/10.1101/2023.03.28.23287740.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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