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: 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

Predictors of in-hospital mortality after ischemic stroke: A prospective, single-center study. | LitMetric

Background And Aims: Stroke is the second leading cause of death around the globe. Studies examining the predictors of in-hospital mortality and the impact of complications on early outcome of acute ischemic stroke are scant. The aim of this study was to identify predictors of in-hospital mortality in patients with acute ischemic stroke.

Methods: This was a prospective, single-center study of patients with acute ischemic stroke consecutively admitted to the Neurology Department of a general hospital during a 2-year period (from January 1, 2010 to December 31, 2011). Prospective data from this single-center study included variables related to sociodemographics, comorbidities, and medical complications, together with in-hospital mortality. Since stroke mortality may impact differently by sex and is also influenced by hospital length of stay, we proceeded to stratify by these variables.

Results: Six-hundred and seventy-three patients were included. Overall, in-hospital mortality rate was 7.13%. Stratifying by length of stay in-hospital (< 7 days and ≥ 7 days), we observed that within the first week, overall mortality was related to a history of previous stroke, higher stroke severity, and to cardiovascular and respiratory complications. After 7 days, the main factor independently associated with overall in-hospital mortality was stroke severity (National Institutes of Health Stroke Scale (NIHSS) ≥ 14, odds ratio (OR): 17.15; 95% CI, 3.06-96.07).Stratifying by sex, we observed that females had a worse outcome if there was a history of prior stroke (OR: 3.29; 95% CI, 1.19-9.10), higher stroke severity (NIHSS ≥ 14, OR: 16.63; 95% CI, 4.66-59.31), and cardiovascular complications (OR: 29.70; 95% CI, 5.70-154.8). Among men, stroke severity (NIHSS ≥ 14, OR: 23.19; 95% CI, 5.69-94.56), respiratory infections (OR: 3.84; 95% CI, 1.32-11.20), and older age had significant negative impact.

Conclusions: Stroke severity and potentially modifiable complications (respiratory infections and cardiovascular complications) confer an increased risk of in-hospital death in both women and men, particularly during the first week of admission.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482326PMC
http://dx.doi.org/10.1002/hsr2.110DOI Listing

Publication Analysis

Top Keywords

in-hospital mortality
20
predictors in-hospital
12
ischemic stroke
12
single-center study
12
acute ischemic
12
prospective single-center
8
mortality impact
8
patients acute
8
length stay
8
mortality
6

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!