scholarly journals Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262348
Author(s):  
Muhammad M. AbdelGhaffar ◽  
Dalia Omran ◽  
Ahmed Elgebaly ◽  
Eshak I. Bahbah ◽  
Shimaa Afify ◽  
...  

We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID-19 cases admitted through the period from April to July 2020. A generalized linear model was reconstructed with covariates based on predictor’s statistical significance and clinically relevance. The odds ratio (OR) was calculated by using stepwise logistic regression modeling. A total of 3712 hospitalized patients were included; of them, 900 deaths were recorded (24.2%). Compared to survived patients, non-survived patients were more likely to be older than 60 years (65.7%), males (53.6%) diabetic (37.6%), hypertensive (37.2%), and had chronic renal insufficiency (9%). Non-survived patients were less likely to receive azithromycin (p <0.001), anticoagulants (p <0.001), and steroids (p <0.001). We found that age ≥ 60 years old (OR = 2.82, 95% CI 2.05–3.86; p <0.0001), diabetes mellitus (OR = 1.58, 95% CI 1.14–2.19; p = 0.006), hypertension (OR = 1.69, 95% CI 1.22–2.36; p = 0.002), chronic renal insufficiency (OR = 3.15, 95% CI 1.84–5.38; p <0.0001), tachycardia (OR = 1.65, 95% CI 1.22–2.23; p <0.001), hypoxemia (OR = 5.69, 95% CI 4.05–7.98; p <0.0001), GCS <13 (OR 515.2, 95% CI 148.5–1786.9; p <0.0001), the use of therapeutic dose of anticoagulation (OR = 0.4, 95% CI 0.22–0.74, p = 0.003) and azithromycin (OR = 0.16, 95% CI 0.09–0.26; p <0.0001) were independent negative predictors of mortality. In conclusion, age >60 years, comorbidities, tachycardia, hypoxemia, and altered consciousness level are independent predictors of mortality among Egyptian hospitalized patients with COVID-19. On the other hand, the use of anticoagulants and azithromycin is associated with reduced mortality.

2005 ◽  
Vol 157 (7) ◽  
pp. 185-187 ◽  
Author(s):  
E. A. Plantinga ◽  
H. Everts ◽  
A. M. C. Kastelein ◽  
A. C. Beynen

2013 ◽  
Vol 10 (3) ◽  
pp. 263-268 ◽  
Author(s):  
Jin-Gang Yu ◽  
Lin-Yan Yu ◽  
Xin-Yu Jiang ◽  
Xiao-Qing Chen ◽  
Li-Jian Tao ◽  
...  

2020 ◽  
Vol 16 (4) ◽  
pp. 327-333
Author(s):  
Shannon Armstrong-Kempter ◽  
Lucinda Beech ◽  
Sarah J. Melov ◽  
Adrienne Kirby ◽  
Roshini Nayyar

Background: The discovery of the benefits of antenatal corticosteroids (ACS) for preterm infants was one of the most significant developments in obstetric care. However, due to the difficulty in predicting preterm delivery, optimal use of ACS, is challenging. Objective: To describe prescribing practices for antenatal corticosteroids (ACS) at a tertiary hospital over five years to determine whether ACS were received at optimal timing; to determine patient characteristics of women receiving ACS at optimal timing; to determine patient characteristics of those who did not receive ACS as indicated and to examine the trend in ACS prescribing over the study period. Methods: We performed a retrospective study of all deliveries from January 2011 to December 2015. The rates of ACS prescription for each group of women (preterm, late preterm, and term) were recorded and analysed. Results: A total of 65% of women who delivered before 34 weeks’ gestation received ACS. Of these women, 63% delivered within 7 days of receiving ACS. Women most likely to receive ACS with optimal timing were primiparous (relative risk [RR], 1.25 [CI, 1.08-1.45]), or women diagnosed with pre-eclampsia (RR, 1.34 [CI 1.10-1.63]), preterm premature rupture of membranes (RR, 1.33 [CI, 1.15-1.54]) or threatened preterm labour (RR, 1.42 [CI, 1.22-1.65]). Conclusion: A significant number of women and babies are exposed to ACS without commensurate benefit, and a significant number who deliver preterm do not receive ACS. The percentage of preterm and term infants receiving ACS should be determined to optimise service delivery.


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