Despite the vast quantities of published artificial intelligence (AI) algorithms that target trauma and orthopaedic applications, very few progress to inform clinical practice. One key reason for this is the lack of a clear pathway from development to deployment. In order to assist with this process, we have developed the Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework – a five-stage approach to the clinical practice adoption of AI in the setting of trauma and orthopaedics, based on the IDEAL principles ( Cite this article:
Patients' perspective and experience is heavily modulated by their understanding of their pre-operative disability along with their overall coping strategy and life philosophy. Given that evidence-based practice is relying on patient-reported outcomes more and more, the orthopaedic community must be diligent in differentiating patients that may have the same objective outcome but vary widely on a patient-reported subjective basis. In clinical practice, patient selection is often a sensitive, experience-based decision process that screens for catastrophization, recognizing that certain patients will not benefit from a simple surgery. It is well appreciated that patient's catastrophization can affect their subjective outcome but there is little reported literature on this abstract concept. The study set out to determine if post-operative outcomes correlated with pre-operative catastrophization scales. This current study set out to look at a cohort of complex consecutive foot and ankle cases and describe the relationship between Patient Catastrophizing Score (PCS) and multiple functional outcomes that are used commonly in foot and ankle specifically (SF-12 & FAOS). The PCS has three subcategory rumination, helplessness and magnification. A single institution undertook recruitment in consecutive patients within three surgeon's practice. In the end, 46 patients were found to be eligible in the study with an average age of 54.72 ± 14.41 years-old, a majority female 30 / 46 (65.22%), a minority employed at the pre-operative visit 19/46 (41%) and with an average BMI of 26.2 ± 5.56. We found that the mental component of the SF12 had a statistically significant negative effect with the rumination score (r=−1.03) (p = 0.01) and the helplessness score (r=−1.05) (0.001). There was no statistically significant effect for the physical component of the SF-12. Looking at the FAOS Pain component, it correlated was significantly with the PCS rumination (Multivariate : r= −7.6 (p=0.002) Univariate: r=−2 (0.03)) and helplessness (Multivariate : r=−6.73 (p=0.01) Univariate: r=−1.5 (p=0.03)). Otherwise the FAOS ADL component showed correlation as well with the PCS rumination (Multivariate: r=−4.67 (p=0.02) Univariate : r=−1.85 (p=0.01)), helplessness (Multivariate r=−5.89 (p = 0.01) Univariate r=−1.81 (p = 0.001)) and total score (Multivariate : r=3.74 (p=0.02) Univariate r=−0.75 (p=0.01)). The FAOS Quality of life component was statistically significant for the rumination score (Univariate r=−11.59) (p < 0.05) and the helplessness score (Univariate r=−9.65) (p = 0.002) also the PCS total (Univariate r=8.54) (p = 0.0003). As layed out in our hypothesis, this study did show an association between an increase patient catastrophizing score pre-operatively and a worse outcome in the following scores: Mental component of SF12, FAOS Pain, FAOS ADL and FAOS Quality of life components. This is an association and no causality can be proven within the limits of this current pilot study, but remains alarming. In elective surgeries, catastrophization should be screened for using the PCS form and potentially modulated pre-operatively with the help of allied health therapist while a patient is on the waitlist.
