Assessment of heart rate, acidosis, consciousness, oxygenation, and respiratory rate to predict noninvasive ventilation failure in hypoxemic patients

Clicks: 266
ID: 273627
2017
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
The HACOR scale variables are easily obtained at the bedside. The scale appears to be an effective way of predicting NIV failure in hypoxemic patients. Early intubation in high-risk patients may reduce hospital mortality.
Reference Key
j2017intensiveassessment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Duan J;Han X;Bai L;Zhou L;Huang S;;
Journal intensive care medicine
Year 2017
DOI DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/27812731
Keywords
Monitoring National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine logistic models adult female male aged middle aged Prospective Studies statistics nonparametric Cohort Studies observational study predictive value of tests intensive care units heart rate / physiology physiologic / methods respiratory insufficiency / therapy treatment failure apache respiratory rate critical illness / therapy* pmid:27812731 doi:10.1007/s00134-016-4601-3 jun duan xiaoli han shicong huang acidosis / diagnosis consciousness / physiology hypoxia / etiology* hypoxia / therapy intubation / adverse effects physiologic / statistics & numerical data noninvasive ventilation* / statistics & numerical data oxygen inhalation therapy* respiratory insufficiency / diagnosis*

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.