the simplified acute physiology score iii is superior to the simplified acute physiology score ii and acute physiology and chronic health evaluation ii in predicting surgical and icu mortality in the “oldest old”
Clicks: 250
ID: 150534
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
250 views
32 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #7 of 19 articles by views in middle - east journal of scientific research
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Elderly patients in the USA account for 26–50% of all intensive care unit (ICU) admissions. The applicability of validated ICU scoring systems to predict outcomes in the “Oldest Old” is poorly documented. We evaluated the utility of three commonly used ICU scoring systems (SAPS II, SAPS III, and APACHE II) to predict clinical outcomes in patients > 90 years. 1,189 surgical procedures performed upon 951 patients > 90 years (between 2000 and 2010) were analyzed. SAPS II, SAPS III, and Acute APACHE II were calculated for all patients admitted to the SICU. Differences between survivors and nonsurvivors were analyzed using the Student’s t-test and binary logistic regression analysis. A receiver operating characteristic (ROC) curve was constructed for each scoring system studied. The area under the ROC curve (aROC) for the SAPS III was 0.81 at a cut-off value of 57, whereas the aROC for SAPS II was 0.75 at a cut-off score of 44 and the aROC for APACHE II was 0.74 at a cut-off score of 13. The SAPS III ROC curve for prediction of hospital mortality exhibited the greatest sensitivity (84%) and specificity (66%) with a score of 57 for the “Oldest Old” population.
| Reference Key |
haq2014currentthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Aftab Haq;Sachin Patil;Alexis Lanteri Parcells;Ronald S. Chamberlain |
| Journal | middle - east journal of scientific research |
| Year | 2014 |
| DOI |
10.1155/2014/934852
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.