Postoperative pain trajectories in total hip arthroplasty

Listen to Brian and Lisa discuss the paper 'Postoperative pain trajectories in total hip arthroplasty' published in the March 2024 issue of Bone & Joint Open.

Click here to read the paper.

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Transcript

[00:00:00] Welcome back to another episode of AI Talks with Bone & Joint from the publishers of Bone & Joint Open. Today we're discussing the paper 'Postoperative pain trajectories in total hip arthroplasty', published in March 2024 by K Omran, D Warren and R Schwarzkopf. I'm Brian, and here with me is my co-host Lisa.

Hello everyone. This is an intriguing paper that gets into the complexities of postoperative pain recovery following total hip arthroplasty or THA. Brian, why don't you start by explaining why this research is so significant?

Total hip arthroplasty is a common and generally successful procedure to alleviate pain and improve function in patients with hip disorders like osteoarthritis. Despite its success, there's a considerable variability in how patients recover, particularly in terms of pain. Understanding these pain recovery trajectories is crucial, as it can help healthcare providers tailor preoperative counseling and postoperative care [00:01:00] to improve patient outcomes.

Indeed and this study specifically aimed to investigate whether patients follow distinct pain trajectories post-THA, and to identify the patient characteristics linked to suboptimal trajectories.

The researchers used a retrospective cohort study design analyzing data from NYU Langone Orthopedic Hospital, collected between January 2018 and January 2023. The methodology they employed was quite robust. They use the Patient-Reported Outcomes Measurement Information System or PROMIS to gather pain intensity data from patients at various follow-up points: 1, 3, 6, 12, and 24 months. In order to model the pain trajectories, they use growth mixture modeling, which is powerful for identifying distinct patient subgroups based on their recovery patterns.

They evaluated the best model fit using a variety of criteria, like the Bayesian information criterion, [00:02:00] Vuong-Lo-Mendell-Rubin likelihood ratio test, and entropy values. They found that a piecewise GMM model with three distinct trajectories best fit the data. Essentially, there were three groups; group one, which had 4.5% of patients, group two with a majority of 91.6%, and group three with 3.9%.

What stood out was how these groups differed in their recovery patterns. Group two, having the majority of patients experienced a rapid recovery post-THA, and reported minimal preoperative pain. On the other hand, groups one and three had significant preoperative pain. However, only group three experienced persistent long-term pain while group one showed some recovery postoperatively.

Exactly, and the study also explored the association between these trajectories and patient characteristics using multinomial logistic regression. Interestingly, they found that African American patients were significantly more likely to follow the suboptimal pain [00:03:00] trajectories, groups one and three.

Also factors like higher BMI, longer postoperative stays and discharge to rehabilitation services increase the odds of being in the prolonged pain group. Those are critical findings. For instance, the odds of membership to group three increased by 12% for each BMI unit rise, 19% for each added postoperative day and more than four times if discharged to rehabilitation services. These statistics highlight the importance of addressing these modifiable risk factors preoperatively.

The study strongly suggests that personalized preoperative counseling should consider socioeconomic, psychological, and health-related factors. Identifying predictors of postoperative pain recovery trajectories allows clinicians to set realistic expectations and provide actionable advice, thus improving overall patient care.

And let's not overlook the [00:04:00] socioeconomic dimension here. The finding that patients discharged to rehabilitation and therapy services were more likely to follow a suboptimal pain trajectory, hints at broader issues like the lack of a supportive home environment. These patients often don't have the necessary infrastructure at home, which could amplify their pain perception.

That's a very good point, Brian. It's also worth mentioning the psychological aspects such as pain catastrophizing which can intensify the perception of pain. The study suggests that future research could benefit from integrating scales like the Pain Catastrophizing Scale to better understand this phenomenon.

Absolutely, Lisa. In conclusion, this research provides invaluable insights into the different pain trajectories following THA. By identifying these distinct paths and the associated patient characteristics, healthcare providers can implement more personalized and effective preoperative and postoperative care strategies.

Yes, and it emphasizes the need for a holistic approach [00:05:00] that integrates both physical and mental health interventions tailored to individual patient characteristics and socioeconomic backgrounds. This can be transformative for patient care in THA and potentially other similar procedures.

Well, that wraps up this episode of AI Talks With Bone & Joint. We'll see you next time.