Effect of red blood cell transfusion strategies on ICU-acquired infection in patients with sepsis: A target trial emulation using the Medical Information Mart for Intensive Care IV database
YOSHIHIRO, S.; KATAOKA, Y.; NISHIKIMI, M.; SHIME, N.; MATSUO, H.
Show abstract
Purpose To estimate the per-protocol effect of red blood cell (RBC) transfusion strategies on ICU-acquired infection in critically ill adults with sepsis using a target trial emulation framework. We evaluated whether restrictive strategy and liberal strategy, defined by hemoglobin (Hgb) thresholds, differ in their effect on ICU-acquired infection during ICU stay. Methods We conducted a target trial emulation using the MIMIC-IV database and included adults who met Sepsis criteria at ICU admission. Clones were assigned to restrictive or liberal transfusion strategies. Under the restrictive strategy, RBC transfusion was permitted only when Hgb was [≤]7.0 g/dL, whereas under the liberal strategy, transfusion was permitted when Hgb was >7.0 g/dL. The primary outcome was the first ICU-acquired infection occurring at least 72 hours after ICU admission. Per-protocol effects were estimated using a clone-censor-weight approach with a marginal structural model. A parametric g-formula was used as a complementary analysis that jointly modeled ICU discharge and ICU mortality as competing events to derive strategy-specific 28-day cumulative incidences and risk differences. Results 8 Among 4,013 eligible ICU stays, the liberal-versus-restrictive comparison provided little evidence of a difference in the risk of ICU-acquired infection (adjusted conditional OR, 0.954; 95% CI, 0.797 to 1.142). In the complementary g-formula analysis, the 28-day risk difference for the liberal versus restrictive comparison was -0.02 percentage points (95% CI, -0.15 to 0.11), consistent with the primary analysis. Findings were generally robust across prespecified subgroup and sensitivity analyses. Conclusion In this target trial emulation of adults with sepsis, we observed no clinically meaningful difference in ICU-acquired infection between RBC transfusion strategies defined by hemoglobin thresholds.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Epidemiology and costs of post-sepsis morbidity, nursing care dependency, and mortality in Germany 90%
- Corticosteroids in COVID-19: Optimizing Observational Research through Target Trial Emulations 90%
- Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality 89%
Similar papers in this journal
- COVID-19 as cause of viral sepsis: A Systematic Review and Meta-Analysis 91%
- Prognostic and predictive biomarkers in patients with COVID-19 treated with tocilizumab in a randomised controlled trial 90%
- Immune profiling demonstrates a common immune signature of delayed acquired immunodeficiency in patients with various etiologies of severe injury 89%
Similar papers in this journal
- A Multicenter Evaluation of Blood Purification with Seraph 100 Microbind Affinity Blood Filter for the Treatment of Severe COVID-19: A Preliminary Report 91%
- A Transcriptomic Severity Metric that Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients 91%
- Early prediction of impending septic shock in children using age-adjusted Sepsis-3 criteria 90%
Similar papers in this journal
- Early but not late convalescent plasma is associated with better survival in moderate-to-severe COVID-19 92%
- Application of the Sepsis-3 criteria to describe sepsis epidemiology in the AmsterdamUMCdb intensive care dataset 92%
- SpO 2 /FiO 2 Ratio as a Better Metric for Assessment of RBC Transfusion Effectiveness in Non-traumatic Critically Ill Patients with Physiologic Derangements 91%
Similar papers in this journal
- Heparin for Moderately Ill Patients with Covid-19 92%
- Early initiation of prophylactic anticoagulation for prevention of COVID-19 mortality: a nationwide cohort study of hospitalized patients in the United States 89%
- Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.