ERS Respiratory Channel

CDN Connection Issue

It appears that your current network does not allow connection to the CDN (Content Delivery Network) required for this service to function properly.

To resolve this issue, please try the following actions :

• Contact your network administrator : Inform them of this restriction so they can adjust the network settings accordingly.

• Use another network : Try connecting from a different network, such as another Wi-Fi network or a mobile connection.

We apologize for the inconvenience and thank you for your understanding.

Abstract

Determining and classifying predictors of mortality of COVID 19 is of great importance for the most efficient use of healthcare resources and public health guidance and will yield improvement in clinical management and outcomes. Aim of the work:

To assess Predictors of mortality among COVID 19 patients. Patients and method: 299 patients of confirmed COVID 19 by PCR rolled in our study each patient underwent detailed history, laboratory investigation, CT chest and treated according to severity regarding to Egyptian Ministry of Health Protocol (MOHP).

Result:

Univariate analysis revealed that old age (OR 1.061 and P value <0.001) ,ICU admission, (OR 10.052 P value <0.001) HTN (OR 2.412 P value 0.002) ,cardiac diseases (OR 2.687 P value 0.014) tachypnea(OR 1.126 P value 0.002),fever (OR 2.118 P value 0.023) hypoxiemia (OR 0.896 P value <0.001), increased inflammatory markers WBCS( OR 1.080 P value <0.001), CRP(OR 1.015 P value 0.002) ,D-dimer (OR 1.540 P value 0.001) S. Ferritin (OR 1.002 P value 0.002), ESR (OR 1.019 P value <0.001)and corad5 (OR 2.308 P value .250) were predictors for motility while in multivariate analysis elderly patients, tachypnea , hypoxiemia and increased ESR are independent factors of mortality. Anosmia found to be a predictor of good prognosis. P values 0.05 in all previous parameters.Conclusion: Old age, hypoxemia, elevated ESR, tachypnea and lack of anosmia are independent risk factors of mortality in COVID 19.

Abstract

#{title}