Longer-term survival, quality of life, and cost-effectiveness of conservative versus liberal oxygenation targets in critically ill children: a pre-specified analysis from Oxy-PICU, a multicentre, open, parallel-group, randomised controlled trial.

Background: Peripheral oxygen saturation (SpO) above 94% is typical in children in paediatric intensive critical care units (PICUs) who are receiving invasive ventilation and supplemental oxygen. In a previous report from the Oxy-PICU trial, we showed that lower (conservative) oxygenation targets (SpO 88-92%) are beneficial, showing small but statistically significant differences in duration of organ support and large but non-significant cost reductions at 30 days. In this pre-specified analysis of the Oxy-PICU trial, we compare longer-term outcomes and cost-effectiveness of conservative versus liberal (SpO >94%) oxygenation targets in children with emergency PICU admission.

An Approach for Combining Clinical Judgment with Machine Learning to Inform Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acute Appendicitis in Patients with Multiple Long-Term Conditions.

Background: Machine learning (ML) methods can identify complex patterns of treatment effect heterogeneity. However, before ML can help to personalize decision making, transparent approaches must be developed that draw on clinical judgment. We develop an approach that combines clinical judgment with ML to generate appropriate comparative effectiveness evidence for informing decision making.

How does a local instrumental variable method perform across settings with instruments of differing strengths? A simulation study and an evaluation of emergency surgery.

Local instrumental variable (LIV) approaches use continuous/multi-valued instrumental variables (IV) to generate consistent estimates of average treatment effects (ATEs) and Conditional Average Treatment Effects (CATEs). There is little evidence on how LIV approaches perform according to the strength of the IV or with different sample sizes. Our simulation study examined the performance of an LIV method, and a two-stage least squares (2SLS) approach across different sample sizes and IV strengths.