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
Objective: This study presents a comprehensive descriptive and comparative analysis of a Guinean cohort, focusing on geographical variables and medical histories in relation to family backgrounds and cardiovascular risk scores. The primary goal is to enhance understanding of cardiovascular risk factor distribution within the Guinean population and identify significant correlations among the investigated variables.
Patients & Methods: In this retrospective study, data from 2435 Guinean patients in 2022 were analyzed based on demographic and medical variables. Cardiovascular risk scores were calculated following Guinea's national program guidelines for non-communicable disease prevention and control. Rigorous data collection, including retrospective analyses and screening campaigns, was conducted in collaboration with the Fondation pour le Diabète et les Maladies Non Transmissibles de Conakry. Statistical tests, including one-way ANOVA, Kruskal-Wallis, Pearson Chi², V Cramer, Fisher exact, and Mann-Whitney U, were applied for a comprehensive comparative analysis.
Results: Analysis across five cardiovascular risk score levels revealed significant variations in gender, region, and tuberculosis prevalence. Gender differences were notable, with a female predominance in both groups, slightly higher in the 10 % or more risk group. The higher-risk group exhibited a greater proportion of fasting blood glucose measurements.
Conclusions: Effectively assessing and managing hypertension, diabetes, and other pathologies requires considering factors such as geographic area, family history, cardiovascular risk score, and gender for accurate evaluation. These factors influence pathology prevalence and should be considered in individualized prevention and management strategies. The study underscores the importance of tailored measures to enhance disease management and reduce associated risks.
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Source |
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http://dx.doi.org/10.1016/j.cpcardiol.2023.102232 | DOI Listing |
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