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
A new predictive criterion is being proposed for the determination of cytokine storm (CS) in COVID-19 (COVID-CS). It is comprised of results of laboratory that associate the pro-inflammatory status, systemic cell death, multi-organ tissue damage, and pre-renal electrolyte imbalance. The data identifies the patients' stay in hospitals and their mortality with the relevance of hyper-inflammation and tissue damage during the CS. The criteria can be readily used in clinical practice to determine the need for an early therapeutic regimen, block the hyper-immune response and possibly decrease mortality. It helps to understand the nature of the virus by following a specific criterion to predict the disease. The SARS-CoV-2 tells us in few days what nature has decided for the patient i.e., recovery, death or permanent disability.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377921 | PMC |
http://dx.doi.org/10.12669/pjms.37.5.3630 | DOI Listing |
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