Trajectories of pain and opioid use up to one year after surgery: analysis of a European registry.

BACKGROUND: Long-term opioid use after surgery is a crucial healthcare problem in North America. Data from European hospitals are scarce and differentiation of chronic pain has rarely been considered. METHODS: In a mixed surgical cohort of the PAIN OUT registry, opioid use and chronic pain were evaluated before surgery, and 6 and 12 months after surgery (M6/M12). Subgroups with or without opioid medication and pre-existing chronic pain were analysed. M12-chronic pain was categorised as chronic postsurgical pain (CPSP) meeting the ICD-11 definition, chronic pain related to surgery not meeting the ICD-11 definition, and chronic pain unrelated to surgery. Primary endpoint was the rate of M12 opioid users. Variables associated with M12 opioid use and patient-reported outcomes were evaluated. RESULTS: Of 2326 patients, 5.5% were preoperative opioid users; 4.4% and 3.5% took opioids at M6 and M12 (P<0.001). Chronic pain before operation and at M6/M12 was reported by 41.2%, 41.8%, and 34.7% of patients, respectively (P<0.001). The rate of M12 opioid users was highest in group unrelated (22.3%; related 8.3%, CPSP 1.5%; P<0.001). New opioid users were 1.1% (unrelated 7.1%, related 2.3%, CPSP 0.7%; P<0.001). M12 opioid users reported more pain, pain-related physical and affective interference, and needed more opioids than non-users. The predominant variable associated with M12 opioids was preoperative opioid use (estimated odds ratio [95% confidence interval]: 28.3 [14.1-56.7], P<0.001). CONCLUSIONS: Opioid use was low in patients with CPSP, and more problematic in patients with chronic pain unrelated to surgery. A detailed assessment of chronic pain unrelated or related to surgery or CPSP is necessary. CLINICAL TRIAL REGISTRATION: NCT02083835.

Utility and limitations of patient-adjusted D-dimer cut-off levels for diagnosis of venous thromboembolism-A systematic review and meta-analysis.

PURPOSE: To systematically assess test performance of patient-adapted D-dimer cut-offs for the diagnosis of venous thromboembolism (VTE). METHODS: Systematic review and analysis of articles published in PubMed, Embase, ClinicalTrials.gov, and Cochrane Library databases. Investigations assessing patient-adjusted D-dimer thresholds for the exclusion of VTE were included. A hierarchical summary receiver operating characteristic model was used to assess diagnostic accuracy. Risk of bias was assessed by Quality Assessment of Diagnostic Accuracy Studies 2 score. RESULTS: A total of 68 studies involving 141,880 patients met the inclusion criteria. The standard cut-off revealed a sensitivity of 0.99 (95% confidence interval [CI] 0.98-0.99) and specificity of 0.23 (95% CI 0.16-0.31). Sensitivity was comparable to the standard cut-off for age-adjustment (0.97 [95% CI 0.96-0.98]) and YEARS algorithm (0.98 [95% CI 0.91-1.00]) but lower for pretest probability (PTP)-adjusted (0.95 [95% CI 0.89-0.98) and COVID-19-adapted thresholds (0.93 [95% CI 0.82-0.98]). Specificity was significantly higher across all adjustment strategies (age: 0.43 [95% CI 0.36-0.50]; PTP: 0.63 [95% CI 0.51-0.73]; YEARS algorithm: 0.65 [95% CI 0.39-0.84]; and COVID-19: 0.51 [95% CI 0.40-0.63]). The YEARS algorithm provided the best negative likelihood ratio (0.03 [95% CI 0.01-0.15]), followed by age-adjusted (both 0.07 [95% CI 0.05-0.09]), PTP (0.08 [95% CI 0.04-0.17), and COVID-19-adjusted thresholds (0.13 [95% CI 0.05-0.32]). CONCLUSIONS: This study indicates that adjustment of D-dimer thresholds to patient-specific factors is safe and embodies considerable potential for reduction of imaging. However, robustness, safety, and efficiency vary considerably among different adjustment strategies with a high degree of heterogeneity.

Influence of fluid accumulation on major adverse kidney events in critically ill patients - an observational cohort study.

BACKGROUND: Fluid accumulation (FA) is known to be associated with acute kidney injury (AKI) during intensive care unit (ICU) stay but data on mid-term renal outcome is scarce. The aim of this study was to investigate the association between FA at ICU day 3 and major adverse kidney events in the first 30 days after ICU admission (MAKE30). METHODS: Retrospective, single-center cohort study including adult ICU patients with sufficient data to compute FA and MAKE30. We defined FA as a positive cumulative fluid balance greater than 5% of bodyweight. The association between FA and MAKE30, including its sub-components, as well as the serum creatinine trajectories during ICU stay were examined. In addition, we performed a sensitivity analysis for the stage of AKI and the presence of chronic kidney disease (CKD). RESULTS: Out of 13,326 included patients, 1,100 (8.3%) met the FA definition. FA at ICU day 3 was significantly associated with MAKE30 (adjusted odds ratio [aOR] 1.96; 95% confidence interval [CI] 1.67-2.30; p < 0.001) and all sub-components: need for renal replacement therapy (aOR 3.83; 95%CI 3.02-4.84), persistent renal dysfunction (aOR 1.72; 95%CI 1.40-2.12), and 30-day mortality (aOR 1.70; 95%CI 1.38-2.09), p all < 0.001. The sensitivity analysis showed an association of FA with MAKE30 independent from a pre-existing CKD, but exclusively in patients with AKI stage 3. Furthermore, FA was independently associated with the creatinine trajectory over the whole observation period. CONCLUSIONS: Fluid accumulation is significantly associated with MAKE30 in critically ill patients. This association is independent from pre-existing CKD and strongest in patients with AKI stage 3.

Rethinking the definition of chronic postsurgical pain: composites of patient-reported pain-related outcomes vs pain intensities alone.

ABSTRACT: Chronic postsurgical pain (CPSP) is defined by pain intensity and pain-related functional interference. This study included measures of function in a composite score of patient-reported outcomes (PROs) to investigate the incidence of CPSP. Registry data were analyzed for PROs 1 day and 12 months postoperatively. Based on pain intensity and pain-related interference with function, patients were allocated to the groups " CPSPF " (at least moderate pain with interference), " mixed " (milder symptoms), and " no CPSPF ". The incidence of CPSPF was compared with CPSP rates referring to published data. Variables associated with the PRO-12 score (composite PROs at 12 months; numeric rating scale 0-10) were analyzed by linear regression analysis. Of 2319 patients, 8.6%, 32.5%, and 58.9% were allocated to the groups CPSPF , mixed , and no CPSPF , respectively. Exclusion of patients whose pain scores did not increase compared with the preoperative status, resulted in a 3.3% incidence. Of the patients without pre-existing pain, 4.1% had CPSPF. Previously published pain cutoffs of numeric rating scale >0, ≥3, or ≥4, used to define CPSP, produced rates of 37.5%, 9.7%, and 5.7%. Pre-existing chronic pain, preoperative opioid medication, and type of surgery were associated with the PRO-12 score (all P < 0.05). Opioid doses and PROs 24 hours postoperatively improved the fit of the regression model. A more comprehensive assessment of pain and interference resulted in lower CPSP rates than previously reported. Although inclusion of CPSP in the ICD-11 is a welcome step, evaluation of pain characteristics would be helpful in differentiation between CPSPF and continuation of pre-existing chronic pain.