miércoles, 14 de julio de 2021

Comparison of hemoglobin level and neutrophil to lymphocyte ratio as prognostic markers in patients with COVID-19

 

Shaimaa Hani Fouad (1), Mohamed Farouk Allam (2), Sara Ibrahim Taha (3), Ahmed Ashraf Okba (4), Amr Hosny (5), Mayada Moneer (1) and Sylvia Wefky Roman (1)

 

1. Departments of Internal Medicine and Allergy and Clinical Immunology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

2. Department of Family Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

3. Department of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

4. Department of Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

5. Department of Anesthesiology and Intensive Care, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

 

Journal of International Medical Research 2021;49(7):1-15.

 

DOI: 10.1177/03000605211030124

 

Abstract

Background. Anemia can negatively affect the outcome of many diseases, including infections and inflammatory conditions.

Aim. To compare the prognostic value of hemoglobin level and the neutrophil/lymphocyte ratio (NLR) for prediction of coronavirus disease 2019 (COVID-19) severity.

Methods. In this retrospective cohort study, clinical data from patients with laboratory-confirmed COVID-19 were collected from hospital records from 10 April 2020 to 30 July 2020.

Results. The proportions of patients with mild, moderate, and severe COVID-19 differed significantly in association with hemoglobin levels, neutrophil counts, lymphocyte counts, NLR, and total leukocyte counts. Patients with severe COVID-19 had significantly lower hemoglobin levels than those with moderate or mild COVID-19. There were statistically significant negative associations between hemoglobin and D-dimer, age, and creatinine. The optimal hemoglobin cut-off value for prediction of disease severity was 11.6 g/dL. Using this cut-off value, hemoglobin had higher negative predictive value and sensitivity than NLR (92.4% and 51.3%, respectively). The specificity of hemoglobin as a prognostic marker was 79.3%.

Conclusion. Both NLR and hemoglobin level are of prognostic value for predicting severity of COVID-19. However, hemoglobin level displayed higher sensitivity than NLR. Hemoglobin level should be assessed upon admission in all patients and closely monitored throughout the disease course.

 

Keywords. Coronavirus disease 2019, hospital, anemia, neutrophil/lymphocyte ratio, patient stratification, hemoglobin, intensive care unit, severity.

 

Journal of International Medical Research 2021;49(7):1-15.

 

https://journals.sagepub.com/doi/full/10.1177/03000605211030124

Prevalence and predictive factors for exclusive breastfeeding in the first 6 months among mothers attending Primary Health Care Centers in Cairo, Egypt

Prevalence and predictive factors for exclusive breastfeeding in the first 6 months among mothers attending Primary Health Care Centers in Cairo, Egypt

 

Zeinab Abdelhay Emara (1), Ghada Essam Eldin Amin (2), Diaa Marzouk Abdel Hamid (2), Mohamed Farouk Allam (2)

 

1. Pediatrics Specialist, International Lactation Consultant and Family Physician in Primary Health Care MOHAP Dubai, United Arab Emirates.

2. Department of Family Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

 

European Journal of Clinical and Experimental Medicine 2021;19(2):145–152.

 

DOI: 10.15584/ ejcem.2021.2.5

 

Abstract

 

Introduction. Although most organizations recommend breastfeeding for at least one year due to its well-known beneficial effects, the prevalence of exclusive breastfeeding in many developing countries was quite low.

Aim. To identify prevalence and predictive factors affecting exclusive breastfeeding in Primary Healthcare (PHC) Centers in Cairo, Egypt.

Material and methods. A cross-sectional study, among mothers attended first six months immunization sessions in three PHC Centers were selected via a convenient sample, A total sample of 180 mothers, 60 from each PHC Center, were subjected to an interview questionnaire. The questionnaire used was previously validated and pre-tested. Data collection took the period from April to August 2019. Comparison between exclusive and nonexclusive breastfeeding according to possible risk factors was done.

Results. The frequency of breastfeeding among the participants was 90.6%; however the total exclusive breastfeeding frequency was only 39.4%. Our logistic regression model showed that exclusive breastfeeding decreased with progressive increase in infant’s age (OR 0.74), and mothers with good knowledge about proper practice of breastfeeding adhered more to exclusive breastfeeding (OR 2.51). Also, it showed that, during working hours, mothers who fed their infants other than breast milk adhered less to exclusive breastfeeding (OR 0.19).

Conclusion. The prevalence of exclusive breastfeeding is quite low. The predictive factors for exclusive breastfeeding are, younger infant’s age, good knowledge of the mothers about proper practice of breastfeeding, and mothers insisting on breastfeeding during working hours.

 

Keywords. breastfeeding, cross sectional, infants formula, primary healthcare, risk factors.

 

European Journal of Clinical and Experimental Medicine 2021;19(2):145–152.

 

http://www.ejcem.ur.edu.pl/summary/prevalence-and-predictive-factors-exclusive-breastfeeding-first-6-months-among-mothers