Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Many emergency departments use a rating system to establish priority based on urgency: "triage". The aim of this study was to evaluate the validity of triage in predicting hospitalization and mortality compared to that of the ICD-9-CM based Injury Severity Score (ISS).
Sources: The Emergency Information System 2000, the Hospital Information System 2000-2001 and the Mortality Register 2000-2001, of the Lazio Region. Case selection: Emergency department visits for traumas that occurred on the road or at home.
Outcomes: Hospitalization and 30-day mortality. For each case, trauma diagnoses from the ICD-9-CM were given a corresponding ISS value. We performed logistic models, including age, sex and, alternatively, triage or ISS. We compared discrimination measures and calibration of the models.
Results: Out of 264,709 emergency department visits, 22,249 (8.4%) were followed by a hospitalization and 655 (0.2%) died within 30 days. ISS scores were calculated for 72,179 (27%) cases. Of the most urgent triage (840 patients), 78.3% (658) were hospitalized and 9% (76) died, while among patients with ISS > or = 16 value (1276) 36.4% (464) of were hospitalized and 1.8% (23) died. Measures of discrimination and calibration showed similar results. The triage model had a better fitness in predicting hospitalization probability for home accidents (Hosmer-Lemeshow statistic: chi(2)(triage)=5.5 vs chi(2)(ISS)=34.3) and had a better performance for road accidents (ROC(triage)=0.71 vs ROC(ISS)=0.66). There were no differences between the models in predicting the probability of death.
Conclusions: The agreement between the two scales confirms the validity of triage as a clinical management tool in the emergency department, and as a proxy of trauma severity.
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http://dx.doi.org/10.1016/j.aap.2010.05.019 | DOI Listing |
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