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
Background: The prevalence of abnormal electrocardiography (ECG) increases with aging, and these abnormalities may have an impact on anesthesia management. Although a normal ECG does not guarantee a healthy heart, an abnormal ECG can quickly identify a patient who is at high risk of cardiac complications.
Objective: The aim of this study was to determine the prevalence and associated factors of preoperative abnormal electrocardiography among older surgical patients at selected teaching hospitals in southern Ethiopia, from February 15 to June 15, 2022.
Methodology: A multicenter cross-sectional study was conducted at three randomly selected teaching hospitals in southern Ethiopia on 246 elderly surgical patients recruited consecutively. Data were entered into Epidata version 4.6, then exported and analyzed in STATA version 16. A binary logistic regression model was used to examine factors associated with abnormal ECG, and variables with a P-value < 0.2 were entered into the multivariate analysis to identify independent factors. Both crude and adjusted odds ratios were reported, and a P-value < 0.05 was considered statistically significant. The data were presented using frequencies, tables, charts, and figures.
Result: In the current study, 120 (48.78%) of older surgical patients had abnormal preoperative ECGs. In terms of severity, 55.3% were classified as minor, while 44.16% were major ECG abnormalities. The most common ECG abnormalities were left axis deviation (LAD), left ventricular hypertrophy (LVH), and ST segment changes. The presence of comorbidity (AOR = 3.44, P = 0.001), age ≥ 70 years (AOR = 2.5, P = 0.011), history of angina (AOR = 5.9, P = 0.011), history of smoking (AOR = 5.07, P = 0.024) and urban residency (AOR = 1.89, P = 0.039) were the strongest risk factors for an abnormal ECG.
Conclusion And Recommendation: Our study shows that older patients are more likely to have an abnormal ECG before surgery, regardless of symptoms or risk factors. Therefore, it is suggested that all older patients undergo preoperative ECG screening. Further prospective cohort studies are needed to investigate the impact and outcome of patients with preoperative abnormal ECG.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11533309 | PMC |
http://dx.doi.org/10.1186/s12877-024-05444-w | DOI Listing |
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