ArticleAnesthesia, essays and researches
A Comparison of Acute Physiology and Chronic Health Evaluation III and Simplified Acute Physiology Score II in Predicting Sepsis Outcome in Intensive Care Unit.
Article in Anesthesia, essays and researches. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The association between Oxford Acute Severity of Illness Score and mortality in critical hemorrhagic stroke patients: a retrospective cohort study.Scientific reports · 2025Article
- Article
- Navigating the Complexity of Scoring Systems in Sepsis Management: A Comprehensive Review.Cureus · 2024Review
- Article
- The Applicability of Commonly Used Severity of Illness Scores to Tropical Infections in Australia.The American journal of tropical medicine and hygiene · 2021Article
- Prognostic nutritional index predicts acute kidney injury and mortality of patients in the coronary care unit.Experimental and therapeutic medicine · 2021Article
- Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies.Journal of healthcare engineering · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextAcute Physiology and Chronic Health Evaluation (APACHE) III and Simplified Acute Physiology Score (SAPS) II are frequently used to predict the outcome of Intensive Care Unit (ICU) patients of sepsis.
aimThe aim of the study was to compare the predictability of outcome with APACHE III and SAPS II score in ICU patients of sepsis, severe sepsis, and septic shock and the 28-day mortality. SETTINGS AND
designThis study was an observational, prospective cohort study. MATERIALS AND
methodsA total of 100 consecutive patients of sepsis were studied over 20 months. The worst physiological and biochemical parameters during the first 24 h were recorded for the scores and the patient's 28-day outcome followed up. STATISTICAL ANALYSIS USED: Continuous data were expressed as mean ± standard deviation or median. Receivers operating characteristic (ROC) curve was used to find the cutoff value, area under the curve, sensitivity and specificity of APACHE III score, and SAPS II score. Binary logistic regression with response variable as the outcome was utilized.
resultsThe mean APACHE III score in the survivor group was 66.49 ± 18.56 as opposed to 80.67 ± 19.03 for nonsurvivors. The mean SAPS II score for the survivor group was 43.32 ± 13.02 as against the nonsurvivor group at 51.92 ± 12.34. The area under the ROC curve for APACHE III was 0.711 with 95% confidence interval as against 0.686 for SAPS II. The best cutoff value obtained for mortality prediction using the ROC curve was 69 for APACHE III while that for SAPS II was 49.
conclusionsAPACHE III was found to be a better predictor of mortality as compared to SAPS II though the margin of difference in mortality prediction was not high.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.