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 the comprehensive nutrition screening index in predicting mortality after cardiac surgery. | LitMetric

Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery.

Sci Rep

Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.

Published: November 2024

AI Article Synopsis

  • Malnutrition poses a considerable risk for postoperative complications in cardiac surgery patients, necessitating effective screening tools.
  • The Seoul National University Hospital-Nutrition Screening Index (SNUH-NSI) is an automated tool that assesses malnutrition risk, but its effectiveness in predicting outcomes for cardiac surgery patients has not been previously confirmed.
  • A study of adult cardiac surgery patients found that those identified as high-risk for malnutrition had a significantly higher chance of mortality compared to low-risk patients, highlighting the SNUH-NSI's potential as a valuable preoperative screening method.

Article Abstract

Malnutrition is a significant risk factor for postoperative outcomes in patients undergoing cardiac surgery. The Seoul National University Hospital-Nutrition Screening Index (SNUH-NSI) is an automated screening tool designed to comprehensively assess malnutrition risk. However, its predictive value in patients undergoing cardiac surgery remains unvalidated. This study included adult patients who underwent cardiac surgery at a tertiary teaching hospital between May 2008 and December 2019. Patients were classified as low-, intermediate-, or high-risk for malnutrition based on the SNUH-NSI. The association between malnutrition risk and postoperative cumulative all-cause mortality was evaluated using multivariable Cox regression analysis. The predictive ability of the SNUH-NSI was compared with conventional nutritional indices. Compared to the low-risk group, both the high-risk (adjusted hazard ratio [HR], 2.64; 95% confidence interval [CI], 2.19-3.19; P < 0.001) and intermediate-risk groups (adjusted HR, 1.54; 95% CI, 1.31-1.82; P < 0.001) demonstrated a significantly elevated risk of cumulative all-cause mortality. The multivariable model incorporating SNUH-NSI demonstrated moderate but superior predictive performance compared to that of other conventional nutritional indices. Preoperative malnutrition assessed by the SNUH-NSI was found to be a significant predictor of mortality following cardiac surgery. Implementing the SNUH-NSI for automated preoperative malnutrition screening could be an efficient and cost-effective approach.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11574065PMC
http://dx.doi.org/10.1038/s41598-024-78114-xDOI Listing

Publication Analysis

Top Keywords

cardiac surgery
16
malnutrition risk
12
patients undergoing
8
undergoing cardiac
8
performance comprehensive
4
comprehensive nutrition
4
nutrition screening
4
screening predicting
4
predicting mortality
4
cardiac
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!