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

Simple index to predict likelihood of skilled nursing facility admission after coronary artery bypass grafting among older patients. | LitMetric

Background: Acceptable short-term mortality rates for elderly patients undergoing coronary artery bypass grafting (CABG) are reported in the literature. However, rather than death, older patients considering CABG are generally most concerned about a postoperative loss of functional independence. To address this concern, we describe an index that predicts a patient's likelihood of admission to a skilled nursing facility (SNF) after CABG.

Methods: Logistic regression analysis of the California hospital discharge database during a 5-year period was performed to identify the most prevalent preoperative International Classification of Disease, 9th Revision Clinical Modification (ICD-9-CM) diagnoses associated with SNF admission after primary CABG in patients aged 65 years or older. Each diagnosis was weighted according to odds ratios to develop an index that predicts the likelihood of discharge to a SNF. The index was validated using our institutional database.

Results: A total of 26,040 patients (mean age, 74.2 years; 67.2% men) fit our criteria. They had an in-hospital mortality rate of 3.09% and a 17.3% SNF discharge rate. Our index was a summation of nine selected preoperative ICD-9-CM diagnoses, which were assigned a value of 1 point (osteoarthritis, congestive heart failure, atrial fibrillation, myocardial infarction, anemia, obesity) or 2 points (female, chronic obstructive pulmonary disease, renal failure). Validation analysis produced a C statistic and pseudo r2 value of 0.6435 and 0.0408, respectively. Cut-point analysis suggests that patients with scores of 3 or higher can be considered "high-risk."

Conclusions: We describe a simple index to identify older patients at low-risk and high-risk for SNF admission after CABG. Such tools may be useful in counseling older patients considering CABG.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.athoracsur.2007.04.079DOI Listing

Publication Analysis

Top Keywords

older patients
16
skilled nursing
8
nursing facility
8
coronary artery
8
artery bypass
8
bypass grafting
8
patients
8
patients considering
8
considering cabg
8
icd-9-cm diagnoses
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!