This study utilizes physiological indicators of COVID-19 patients as tools for assessing, tracking, worsening, and improving the clinical symptoms of COVID-19 patients. This study employs simple and easy-to-use assessment methods, which can be further aided by artificial intelligence technology to facilitate early response and medication.
This study utilizes physiological indicators of COVID-19 patients, such as blood pressure, heart rate, respiratory rate, and level of consciousness, to develop Shock Index (SI), Mordified Shock Index (MSI), Age Shock Index (Age SI), Age Mordified Shock Index (Age MSI), and Respiratory Adjusted Shock Index (RASI), as well as other physiological indicators, as tools for assessing, tracking, worsening, and improving the clinical symptoms of COVID-19 patients. For patients with mild to severe illness, and in response to the shortage of manpower during a large influx of emergency patients, this study employs simple and easy-to-use assessment methods, which can be further aided by artificial intelligence technology to facilitate early response and medication.
Study Type
OBSERVATIONAL
Enrollment
15,000
systolic blood pressure, diastolic blood pressure , heart rate, respiratory rate , GCS
St. Martin De Porres Hospital
Chiayi City, Taiwan
RECRUITINGSt. Martin De Porres Hospital
Tainan, Taiwan
RECRUITINGShock index(SI) in the management of COVID -19
SI= heart rate / systolic blood pressre
Time frame: 2022 May to 2027 March
Mordified shock index(MSI) in the management of COVID -19
MSI=heart rate / mean arterial pressure
Time frame: 2022 May to 2027 March
Age shock index(Age SI) in the management of COVID -19
Age shock index =Age x (heart rate / systolic blood pression)
Time frame: 2022 May to 2027 March
Respiratory adjusted shock index (RASI) in the management of COVID-19
Respiratory adjusted shock index =(heart rate/systolic blood pression) x (repiratory rate/10)
Time frame: 2022 may to 2027 March
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