Health-related quality of life trajectories in critical illness: Protocol for a Monte Carlo simulation study.

BACKGROUND: Health-related quality of life (HRQoL) is a patient-centred outcome increasingly used as a secondary outcome in critical care research. It may cover several important dimensions of clinical status in intensive care unit (ICU) patients that arguably elude other more easily quantified outcomes such as mortality. Poor associations with harder outcomes, conflicting data on HRQoL in critically ill compared to the background population, and paradoxical effects on HRQoL and mortality complicate the current operationalisation in critical care trials. This protocol outlines a simulation study that will gauge if the areas under the HRQoL trajectories could be a viable alternative. METHODS: We will gauge the behaviour of the proposed HRQoL operationalisation through Monte Carlo simulations, under clinical scenarios that reflect a broad critical care population eligible for inclusion in a large pragmatic trial. We will simulate 15,360 clinical scenarios based on a full factorial design with the following seven simulation parameters: number of patients per arm, relative mortality reduction in the interventional arm, acceleration of HRQoL improvement in the interventional arm, the relative improvement in final HRQoL in the interventional arm, dampening effect of mortality on HRQoL values at discharge from the ICU, proportion of so-called mortality benefiters in the interventional arm and mortality trajectory shape. For each clinical scenario, we will simulate 100,000 two-arm trials with 1:1 randomisation. HRQoL will be sampled fortnightly after ICU discharge. Outcomes will include HRQoL in survivors and all patients at the end of follow-up; mean areas under the HRQoL trajectories in both arms; and mean difference between areas under the HRQoL trajectories and single-sampled HRQoLs at the end of follow-up. DISCUSSION: In the outlined simulation study, we aim to assess whether the area under the HRQoL trajectory curve could be a candidate for reconciling the seemingly paradoxical effects on improved mortality and reduced HRQoL while remaining sensitive to early or accelerated improvement in patient outcomes. The resultant insights will inform subsequent methodological work on prudent collection and statistical analysis of such data from real critically ill patients.

Glucocorticoids added to paracetamol and NSAIDs for post-operative pain: A systematic review with meta-analysis and trial sequential analysis.

BACKGROUND: Paracetamol and non-steroidal anti-inflammatory drugs (NSAIDs) are recommended as the basic pain treatment regimen for most surgeries. Glucocorticoids have well-known anti-inflammatory and anti-emetic properties and may also demonstrate analgesic effects. We assessed benefit and harm of adding glucocorticoids to a combination of paracetamol and NSAIDs for post-operative pain management. METHODS: We searched Embase, Medline and CENTRAL for randomised clinical trials investigating the addition of glucocorticoids versus placebo/no intervention to paracetamol and an NSAID in adults undergoing any type of surgery. We assessed three primary outcomes: cumulative opioid consumption at 24 h postoperatively, serious adverse events and pain at rest at 24 h postoperatively. We performed meta-analysis and trial sequential analysis (TSA), assessed risk of bias using the Risk of Bias 2 tool and used the Grading of Recommendations Assessment, Development and Evaluation approach to evaluate the certainty of the evidence. RESULTS: We identified 12 relevant trials of which nine trials randomising 804 participants were included in quantitative analysis. When added to paracetamol and NSAIDs, we found no evidence of a difference of glucocorticoids versus placebo/no intervention in cumulative opioid consumption at 24 h postoperatively (mean difference [MD] -0.28, TSA-adjusted 95% confidence interval [CI] -1.90 to 1.33, p = .68, moderate certainty of evidence), serious adverse events (risk ratio (RR) 0.99, TSA-adjusted 95% CI 0.27-3.63, p = .93, very low certainty of evidence) or pain on the Numeric Rating Scale at 24 h postoperatively (MD -0.39, TSA-adjusted 95% CI -0.84 to 0.17, p = .10, moderate certainty of evidence). All outcomes were assessed to be at high risk of bias and TSA showed that we had insufficient information for most outcomes. CONCLUSION: Glucocorticoids added to a baseline therapy of paracetamol and an NSAID likely result in little to no difference in cumulative opioid consumption and pain at rest at 24 h postoperatively. In addition, the evidence is very uncertain about the effect on serious adverse events. For most outcomes we did not have sufficient information to draw firm conclusions and the certainty of the evidence varied from moderate to very low. EDITORIAL COMMENT: Multimodal approaches for post-operative analgesia are favoured, including paracetamol and nonsteroidal anti-inflammatory drugs. In this meta-analysis, pooled results from clinical trials are assessed to describe possible benefit of addition of glucocorticoid treatment for analgesia. The findings did not identify additional benefit, though the certainty of the evidence was not high.

Risk of serious adverse events associated with non-steroidal anti-inflammatory drugs in orthopaedic surgery. A protocol for a systematic review.

BACKGROUND: Postoperative pain is a common condition following orthopaedic surgeries and causes prolonged hospitalisation, delayed rehabilitation and hamper the quality of life. Non-steroidal anti-inflammatory drugs (NSAIDs) are effective analgesics and anti-inflammatory mediators in the treatment of postoperative pain. The association of NSAIDs with serious adverse events may however keep some clinicians and clinical decision makers from using NSAIDs perioperatively. The evidence regarding the risks of serious adverse events following perioperative use of NSAIDs in orthopaedic surgery is sparse and needs to be assessed in a systematic review. This is a protocol for a systematic review that aims to identify the risks of serious adverse events from perioperative use of NSAIDs in orthopaedic patients. METHODS: Our methodology is based on the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols and the eight-step assessment procedure suggested by Jakobsen and colleagues. We wish to assess if NSAIDs versus placebo, usual care or no intervention, will influence the risks of serious adverse events in patients undergoing orthopaedic surgery. We will include all randomised trials assessing the use of NSAIDs perioperatively. To identify trials we will search the Medical Literature Analysis and Retrieval System Online, Excerpta Medica database, Cochrane Central Register, Science Citation Index Expanded on Web of Science and BIOSIS. Two authors will screen the literature and extract data. We will use the 'Risk of Bias 2 tool' to assess trials. Extracted data will be analysed using RStudio and Trial Sequential Analysis. We will create a 'Summary of Findings' table in which we will present our primary and secondary outcomes. We will assess the quality of evidence using Grading of Recommendations Assessment, Development and Evaluation (GRADE). DISCUSSION: This systematic review can potentially aid clinicians and clinical decision makers in the use of NSAIDs for treatment of postoperative pain following orthopaedic surgeries.