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
Aims: Peripheral arterial disease (PAD) is associated with morbidity and mortality, comprising a significant percentage of amputations. As it affects the quality of life of patients with PAD, it is an important health issue. Therefore, the risk factors affecting the outcomes of limb salvage after revascularization should be well investigated. The aim of this review is to summarize risk factors of amputation-free survival (AFS) after interventions targeting patients with PAD to develop evidence-based intervention for improving patient outcomes.
Methods And Results: A systematic review following PRISMA guidelines was conducted, and the protocol was registered on PROSPERO (CRD42020183076). PubMed, CINAHL, EMBASE, Cochrane Library, and Web of Science were searched for observational studies published between 2008 and 2019. Search terms included 'peripheral arterial disease', 'risk factors', and 'amputation-free survival'. The quality of the studies was evaluated using the Joanna Briggs Institute's Critical Appraisal Tools. Seventeen cohort studies were included in our study, and 16 risk factors were identified. Risk factors exemplifying a significant influence on decreased AFS were divided into three categories: sociodemographic (e.g. older age, male gender, African-American race, low body mass index, high nutritional risk, frailty), disease-related characteristics (e.g. severity of the disease, intervention site), and comorbidities (e.g. cardiovascular disease, kidney disease, diabetes mellitus, chronic obstructive pulmonary disease, dementia, wide pulse pressure).
Conclusion: We found that managing modifiable risk factors, as well as addressing high-risk populations, has the potential to improve outcomes of PAD interventions. More high-quality cohort studies are needed to confirm these findings.
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Source |
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http://dx.doi.org/10.1093/eurjcn/zvaa022 | DOI Listing |
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