Evidence map›Paper›PMID 29962640›Full record

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.

Parikshit Singh, Sharmishtha Pathak, Ram Murti Sharma

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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.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Parikshit SinghAssociate Professor, Department of Anaesthesiology and Critical Care, Armed Forces Medical College, Pune, Maharashtra, India.
Sharmishtha PathakResident, Department of Anaesthesiology and Critical Care, Armed Forces Medical College, Pune, Maharashtra, India.
Ram Murti SharmaProfessor and Head, Department of Anaesthesiology and Critical Care, Military Hospital, Patiala, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Acute Physiology and Chronic Health Evaluation IIIIntensive Care Unitpredictor of outcomesepsisSimplified Acute Physiology Score II

Identifiers

PMID29962640
PMCPMC6020558

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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.