A PHP Error was encountered

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: 3122
Function: getPubMedXML

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

Impact of statins on validation of ICH mortality prediction models. | LitMetric

Impact of statins on validation of ICH mortality prediction models.

Neurol Res

Department of Neurology, Johns Hopkins Medical Institutions, Johns Hopkins Hospital, Baltimore, MD, USA.

Published: May 2009

Background: Intracerebral hemorrhage (ICH) has the highest mortality rate of all strokes. Hemphill's ICH score is commonly used to predict mortality after ICH. More recently, the ICH grading scale (ICH-GS) has been shown to improve sensitivity of 30 day mortality prediction in this patient group.

Objective: To assess the impact of admission variables not included in prediction models, such as coagulopathy, hyperglycemia, seizures and previous aspirin or statin use on 30 day mortality prediction using two contemporary prediction models.

Methods: Records of consecutive ICH patients from 1999 to 2006 were reviewed. Patients with ICH secondary to trauma or underlying lesions (e.g. brain tumors, aneurysms, arteriovenous malformations) and of infratentorial location were excluded. We dichotomized patients into a 'predicted survival group' and 'predicted death group' based on a <50% or >50% probability of death, respectively. The predicted mortality using ICH score and ICH-GS prediction models was calculated and was compared with the observed mortality in all patients and then separately in patient subgroups differentiated based on the presence or absence of coagulopathy, hyperglycemia (blood glucose> 180), seizures on presentation and previous exposure to aspirin or statins. Chi-square test was used for comparison of predicted and observed outcomes.

Results: One hundred and twenty-five patients were included in the analysis. The overall observed mortality was 23.2% (29/125), which was significantly lower than the 34.4% mortality predicted by ICH-GS (p=0.03). Hemphill's ICH score overestimated overall mortality by 7.2% (30.4-23.2%); however, this difference was not statistically significant (p=0.14). In patients using statins before ICH, observed mortality was 38% (5/13) and 42% (5/12) of the predicted mortality using ICH-GS (p=0.03) and ICH score (p=0.04), respectively; this difference was not seen in patients not previously exposed to statins. ICH-GS (but not ICH score) significantly overestimated mortality in patients with a serum glucose <180 (p=0.02); none of the other factors analysed significantly impacted the two mortality prediction models.

Conclusion: The significant difference between predicted and observed mortality using ICH-GS and the ICH score in the statin cohort suggests a protective effect of statins in the setting of ICH. Such observation warrants prospective validation.

Download full-text PDF

Source
http://dx.doi.org/10.1179/174313208X353686DOI Listing

Publication Analysis

Top Keywords

ich score
20
mortality
13
ich
12
mortality prediction
12
prediction models
12
observed mortality
12
hemphill's ich
8
mortality ich
8
day mortality
8
coagulopathy hyperglycemia
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!