Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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
In COVID-19 survivors, symptom burden is a significant and multifaceted personal and societal challenge. The Omaha system is a standardized terminology used by researchers and clinicians for documentation and analysis of meaningful data for whole-person health. Given the urgent need for a standardized symptom checklist specific to the long COVID population, the purpose of the present study was to identify long COVID symptoms from the published literature (native symptoms) and map those to the Omaha system signs/symptoms terms. The long COVID symptoms identified from 13 literatures were mapped to the Omaha system signs/symptoms, using an expert consensus approach. The criteria for mapping were that the long COVID signs/symptoms had to contain either a one-to-one match (exact meaning of the native terms and the signs/symptoms) or a partial match (similar but not exact meaning). The synthesis of the 217 native symptoms of long COVID and mapping analysis to the Omaha problems and signs/symptoms level resulted in a combined, deduplicated, and standardized list of 74 signs/symptoms for 23 problems. Of these, 72 (97.3%) of native signs/symptoms were a full match at the problem level, and 67 (90.5%) of native signs/symptoms were a full or partial match at the sign/symptoms level. The present study is the first step in identifying a standardized evidence-based symptom checklist for long COVID patients. This checklist may be used in practice and research for assessment, tracking, and intervention planning as well as longitudinal analysis of symptom resolution and intervention effectiveness.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1891/RTNP-2022-0146 | DOI Listing |
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