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

Performance of pulmonary embolism severity index in predicting long-term mortality after acute pulmonary embolism. | LitMetric

AI Article Synopsis

  • The study assessed the effectiveness of the original and simplified pulmonary embolism severity index (PESI) in predicting mortality rates for patients diagnosed with acute pulmonary embolism over a period of five years.
  • Data was collected from 414 patients, highlighting that notable mortality rates increased from 13.3% at 30 days to 51.0% at five years, with significant predictors for mortality including a history of cancer and heart failure.
  • The findings indicate that long-term survival for high-risk acute PE patients is predominantly influenced by underlying cancer and other comorbidities rather than just the initial acute clinical symptoms, suggesting a need for further research into these factors.

Article Abstract

Objective: In this study, we aimed to evaluate the accuracy of the original and simplified pulmonary embolism (PE) severity index (PESI) to predict all-cause mortality after 30 days of acute PE diagnosis up to five years within consecutive sub-periods.

Methods: Adult patients diagnosed with acute PE between January 1, 2003, and June 30, 2013, were retrospectively included. Data on baseline characteristics and mortality during a five-year follow-up were collected.

Results: The study included 414 patients (Male/Female=192/222). The median age at diagnosis was 61.5 (minimum-maximum, 18-93) years. Mortality rates were 13.3% at 30 days, 21.8% at 90 days, 32.6% at one year, and 51.0% at five years. Both stratification into risk classes according to the original PESI and low vs. high-risk classification of original and simplified PESI were significantly correlated with the 30-day, 31-90-day, 91-day-one-year, and one-five-year mortality. Significant PESI predictors for mortality were history of cancer [hazard ratio (HR): 3.31, 95% confidence interval (CI): 1.64-6.68; p=0.001] and heart failure (HR: 2.35, 95% CI: 1.04-5.32, p=0.041) at 31-90-day, history of cancer (HR: 5.45, 95% CI: 2.86-10.40, p<0.001) at 91-day-one-year, advancing age (HR: 1.04, 95% CI: 1.02-1.06, p<0.001) and history of cancer (HR: 5.53, 95% CI: 3.41-8.98, p<0.001) at one-five-year after acute PE diagnosis.

Conclusion: All-cause long-term mortality in high-risk patients with acute PE according to original or simplified PESI significantly increased up to five years of follow-up. This survival disadvantage was mainly related to cancer and comorbidities rather than acute clinical manifestations. Future prospective studies are needed to demonstrate the effect of various comorbidities on long-term mortality in these patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357430PMC
http://dx.doi.org/10.5152/AnatolJCardiol.2021.99345DOI Listing

Publication Analysis

Top Keywords

pulmonary embolism
12
embolism severity
8
original simplified
8
history cancer
8
mortality
6
performance pulmonary
4
severity predicting
4
predicting long-term
4
long-term mortality
4
mortality acute
4

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!