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We thank Gao et al1 for their interest in our paper.2
Gao et al highlighted a number of issues related to discordance between pain and radiographic changes and sensitivity of the pain assessment. Although a single definition of knee osteoarthritis (KOA) remains elusive, the presence of knee pain is the main symptom of KOA3–5 and there is still a strong relationship between pain and radiographic knee osteoarthritis (ROA).6 ,7 Notwithstanding this, a substantial number of patients with ROA are asymptomatic. Although OA is the most common ‘source’ of knee pain in ROA, it is true, as pointed out by Gao et al that many other diagnoses may be judged to account for a patient's symptoms including bursitis, tendinopathies and overuse injuries. In this cohort of middle aged to elderly women, we feel that these alternative causes will not be prevalent. We defined pain as the presence of side-specific knee pain in the preceding month, and painful radiographic KOA as knee-specific pain and presence of ROA. We have performed additional analyses to further address the queries of Gao et al.
We analysed symptomatic ROA (SROA) using a definition of pain as present for at least 15 days in the last month, which is commonly used in the literature.8 ,9 Of the original painful ROA group, 49% fulfilled the new pain criteria, and a further 21% reported knee pain on 6–14 days in the preceding month. Both the Kaplan–Meier survival plot (figure 1) and HR for all-cause mortality in the model adjusted for age (2.06 (95% CI 1.14 to 3.72)) for SROA were very similar to the one presented in our paper for painful ROA group. In the fully adjusted model, a similar trend was seen with a HR of 1.6 (95% CI 0.77 to 3.44), but it was not statistically significant, most likely due to a small number women in the SROA group (n=28). Furthermore, we excluded from analyses any participants with joint pain due to other diseases that are or might be associated with a decrease in average life expectancy including inflammatory arthritis (n=43). We are confident that the association with mortality in our paper is in women with painful radiographic KOA.
Gao et al mentioned a number of interesting points related to the consequences of KOA or its treatment. Our question related to whether women with KOA suffered or had an increased risk of premature mortality. As such, we adjusted for known potential confounders, but we felt that the consequences and treatment of KOA would be on the causal pathway of the association and that by adjusting for them we would induce a bias towards the null hypothesis. Hence, we did not include them in our model. We agree that it is likely that individuals with KOA are more sedentary and have poor cardiovascular fitness. We therefore performed a sensitivity analysis looking at crude measures of physical activity and found that it did not attenuate the findings, but we accept that the reliability and validity of a single question are limited. We also found no substantial differences in the results when women who underwent knee replacement (from any of the knee subgroups) were excluded during the follow-up.
Although as noted by Gao et al, increased mortality of the painful ROA group compared with the control group could be potentially explained by the higher mean age and body mass index (BMI). Age and BMI were adjusted for in our multivariable models. Furthermore, the painless ROA group (pain−/ROA+), with similar characteristics, in the fully adjusted model showed no positive association with excess mortality.
Similar to previous studies, we found that knee subgroups with ROA (pain+ and pain−) were more likely to have radiographic hand OA as well.10 We decided not to include radiographic hand OA in the knee analyses as it has not been an independent risk factor associated with any excess mortality in this or previous study using Cox proportional hazards models adjusted for known cardiovascular risk factors.11 The ability of our statistical model to explain significant mortality differences in hand OA analyses gives us confidence that our models were adjusted for all-important covariates. This included baseline non-steroidal anti-inflammatory drug use, occupation, age, BMI, typical cardiovascular risk factors, past physical activity and existing cardiovascular disease (CVD). Despite the understandable desire to include as many potential variables as possible in regression analysis, overfitting of the model can be a real problem.
Prospective changes of the risk factors in each subgroup, differences in inflammatory markers, adipokines and health status including future risk of falls and fractures are very interesting new research questions emerging from our findings, and we are planning to investigate them in the future. We agree that it is plausible that painful KOA is an early sign of metabolic dysregulation, leading to CVD problems12 and this will be a focus of future research.