ArticleRisk management and healthcare policy2025
Daily Improvement in APACHE II Score (APACHE/m) and Outcomes in ICU Trauma Patients.
Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Comment on 'Surrogates' Decisional Conflict and Needs Regarding Invasive Procedures for Intensive Care Unit Patients: A Mixed-Methods Study'.Journal of clinical nursing · 2026Article
- Incidence and independent risk factors for postoperative delirium in ICU patients after cardiopulmonary bypass cardiac surgery: a retrospective cohort study.Frontiers in cardiovascular medicine · 2026Article
- Ulinastatin-somatostatin combination for acute severe pancreatitis: enhanced clinical efficacy and reduced serum inflammation.American journal of translational research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The Acute Physiology and Chronic Health Evaluation II (APACHE II) is a widely used intensive care unit (ICU) severity score; however, it provides only an admission snapshot. Therefore, we introduced a novel metric, APACHE/m (average daily decrease in APACHE II score during ICU stay), to examine whether faster physiological improvement was correlated with better outcomes in ICU trauma patients. Methods: This retrospective cohort study was conducted at a level I trauma center. Participants comprised 1784 adult trauma patients admitted to the ICU (2016-2023) who survived ICU discharge were included in this study. The APACHE II scores at ICU admission and discharge were recorded. APACHE/m was calculated as the decrease in APACHE II divided by the length of stay in the ICU. We analyzed the ability of APACHE/m to predict post-ICU in-hospital mortality and compared outcomes between the high and low APACHE/m groups. Propensity score matching (1:1) was used to adjust for initial injury severity and comorbidities. Results: Hospital mortality after ICU discharge was 2.3% (41/1784). APACHE/m alone showed poor discrimination for mortality (AUC = 0.57). In the unmatched cohort, mortality was 2.6% in high APACHE/m patients (>1.03 points/day) vs 2.0% in low APACHE/m patients (≤1.03), P = 0.523. After matching (199 pairs), high APACHE/m patients had longer hospital stays (median, 14 vs 12 days, P = 0.005) and higher mortality (3.5% vs 0%, P = 0.022) than matched low APACHE/m patients. Conclusion: A rapid APACHE II score decline (high APACHE/m) did not predict improved survival in ICU trauma patients. Paradoxically, the patients with the fastest APACHE II improvements had similar or worse late outcomes, likely because they were initially more critically ill. Thus, initial severity remains an important predictor of outcomes than the ICU recovery rate.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.