Unfortunately, so far, there is currently no available prognostic biomarker to distinguish patients that require immediate medical attention, and their associated mortality rate. Both the reach and severity of cases is putting great pressure on the medical services, and readily lead to a shortage of intensive care resources. Furthermore, recent reports expose an astonishing case fatality rate of 61.5% for critical cases, increasing sharply with age and for patients with underlying comorbidities 3. So far, it has been reported that 26.1-32.0% of COVID-19 infected patients are prone to develop critically ill cases 1, 2. On March 11, the virus outbreak was declared a pandemic by the World Health Organization, as the virus spread to 114 countries, totalling over 118,000 recorded cases and 4,300 deaths. On March 6, the total amount of cumulated infection cases over the world was 97,000 and 3,400 deaths. The virus causes fever, cough, fatigue and mild to severe respiratory complications, eventually leading to patient death. The outbreaks of COVID-19 epidemic have been causing worldwide health concerns since December 2019. Overall, this paper suggests a simple and operable formula to quickly predict patients at the highest risk, allowing them to be prioritised and potentially reducing the mortality rate. This finding is consistent with current medical knowledge that high LDH levels are associated with tissue breakdown occurring in various diseases, including pulmonary disorders such as pneumonia. In particular, relatively high levels of LDH alone seem to play a crucial role in distinguishing the vast majority of cases that require immediate medical attention. For this purpose, machine learning tools selected three biomarkers that predict the survival of individual patients with more than 90% accuracy: lactic dehydrogenase (LDH), lymphocyte and high-sensitivity C-reactive protein (hs-CRP). To support decision making and logistical planning in healthcare systems, this study leverages a database of blood samples from 404 infected patients in the region of Wuhan, China to identify crucial predictive biomarkers of disease severity. At the current stage, fast, accurate and early clinical assessment of the disease severity is vital. The sudden increase of COVID-19 cases is putting a high pressure on healthcare services worldwide.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |