Finding the vulnerable postoperative population: A two‐step cluster analysis of the PAIN‐OUT registry

Abstract

Background Identifying predictors of poor postoperative outcomes is crucial for planning personalized pain treatments. The aim of this study was to examine pain outcomes using cluster analysis in N = 2678 patients from the PAIN‐OUT registry at first postoperative day. Methods Indicator variables of the clustering analysis assessed multiple domains, such as clinical and surgical conditions, analgesic‐anaesthetic variables, desire for more pain treatment and outcome variables of the International Pain Outcome Questionnaire (IPO) summarized as factor scores. Results Two‐step cluster identified the three‐cluster solution as the optimal. Two empirical groups (C1 and C2) included patients with good postoperative outcomes discriminated by peripheral nerve block use, while the other cluster (C3) grouped patients with the worst outcomes, where all patients desired more pain treatment. C3 comprised about 20% of the participants, mostly lower limb, abdominal and spine procedures. The best predictors of belonging to C3 included younger age, being male, preoperative opioid use, bone and fracture reduction procedures, institution, number of comorbidities and morphine equivalents in the recovery room. Conclusions IPO factor scores can be used to select pain outcomes phenotypes in large clinical databases. Most of the predictors were present before the recovery period so perioperative planning should focus in the preoperative and intraoperative periods. Significance Improvement of postoperative pain requires assessment methods that go beyond pain intensity scores. We perform a cluster analysis among PAIN‐OUT patients that revealed a cluster of vulnerable postoperative patients, using a novel composite measure of postoperative outcomes: the factor scores of the International Pain Outcomes Questionnaire. By changing the focus from pain intensity to multidimensional pain outcomes, male gender and number of comorbidities appeared as new risk factors for worse postoperative outcomes. The study also identified procedures that require urgent quality improvements.

Insights from studying a large cohort of patients

“…Others, evaluating chronic or acute patient cohorts, also identified patterns of response to treatment. 2,5,[10][11][12]20 Thus, finding patterns of outcomes seems to be typical of patients in pain. However, the number and characteristics of the subgroups might be cohort specific, and they are not necessarily generalizable to other settings, for example, from pain clinic to primary care or across countries.…”