190
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Patient Characteristics and Predictors of Pulmonary Embolism in Patients Infected with COVID – 19 in Upper Egypt

ORCID Icon, , , &
Pages 201-210 | Received 02 Jan 2023, Accepted 28 Mar 2023, Published online: 06 Apr 2023

Figures & data

Figure 1 Flowchart showing the patients’ inclusion in the study.

Figure 1 Flowchart showing the patients’ inclusion in the study.

Table 1 Patients Distribution Regarding Their Baseline Demographic Characteristics

Table 2 Patients Distribution Regarding Their Baseline Clinical Presentations

Table 3 Patients Distribution Regarding Their Laboratory Investigations

Table 4 Pulmonary Embolism’s Risk Stratification in Affected Patients

Table 5 Multivariable Binary Logistic Regression Analysis for the Prediction of Pulmonary Embolism from Different Patients’ Characteristics

Table 6 Cut off, Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value of Different Laboratory Parameters Associated with Pulmonary Embolism Occurrence

Table 7 Cut off, Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value of Body Mass Index and Duration of Latency Till Seeking Medical Consultation Associated with Pulmonary Embolism Occurrence

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.