|
|
هشتمین سمینار دوسالانه کمومتریکس ایران
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
|
|
| عنوان انگلیسی |
Prediction of RT-PCR results using multivariate investigation of important blood biomarkers in patients with covid 19 |
|
| چکیده انگلیسی مقاله |
ABSTRACT Coronavirus disease 2019 (COVID-19) infection has affected many people and has reached to pandemic state in the world nowadays (1). Clinical studies demonstrated that altered levels of some blood markers might be related to Results of RT-PCR and degree of severity and mortality of patients with COVID‐19 (2-9). Different biomarkers are considered to show their potential in prediction of severity and determination of prognosis in patients with COVID-19. In this study, Lab parameters of 111 patient with sever COVID-19 and 120 healthy people were used. The significance of each biomarker was tested using ANOVA followed by Duncan test and was observed a significant difference between levels of NEU, LYM, LDH and CRP among two groups. Then in order to evaluate predictive ability of each parameter ROC curve and AUC analysis was applied on among two groups. In the next step the correlation between parameters were studied. In the next step, in order to test the predictive ability of all parameters, multivariate data was loaded and analyzed to with PLS-DA method. Univariate analysis show that NEU, LDH, CRP and NEU/LYM ratio are good predictors in prediction of RT-PCR results. The correlation analysis show that as a result of disease, a significant correlation is appeared between WBC with NEU, LYM and LDH and between CRP and LDH parameters. Applying multivariate analysis showed that PLS-DA has a good predictive ability in prediction of RT-PCR results. The value of AUC equal to 0.86 shows that multivariate data is better than univariate data to predict the results of RT-PCR. Risk factor in severity of covid-19 are WBC, CRP, LDH, LYM and NEU. The correlation of these parameters is changed significantly during infection in severe cases and when using multivariate data, this correlation between parameters leads to better prediction Ability in comparison to individual parameters. |
|
| کلیدواژه‌های انگلیسی مقاله |
Blood biomarker، COVID-19، Correlation analysis، severity |
|
| نویسندگان مقاله |
Samaneh sadat Momen qazvini - دانشگاه محقق اردبیلی
Maryam Khoshkam - دانشگاه محقق اردبیلی
|
|
| نشانی اینترنتی |
http://chemo2021.modares.ac.ir/browse.php?a_code=A-10-167-1&slc_lang=fa&sid=1 |
| فایل مقاله |
فایلی برای مقاله ذخیره نشده است |
| کد مقاله (doi) |
|
| زبان مقاله منتشر شده |
fa |
| موضوعات مقاله منتشر شده |
|
| نوع مقاله منتشر شده |
|
|
|
|
برگشت به:
صفحه اول پایگاه |
دوره مرتبط |
کنفرانس مرتبط |
فهرست کنفرانس ها
|
