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עמוד בית
Fri, 25.04.25

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February 2025
Raymond Farah MD, Rola Khamisy-Farah MD, George Arshed MD, Rashed Khatib MD, Salman Zarka MD

Background: Coronavirus disease 2019 (COVID-19) is a respiratory illness with broad spectrum of clinical manifestations ranging from asymptomatic cases to severe complications such as acute respiratory failure, multi-organ dysfunction, and death.

Objectives: To evaluate the platelet-lymphocyte ratio (PLR) as a marker of disease severity and mortality in COVID-19 patients. To explore the relationship between PLR and other inflammatory indicators, specifically C-reactive protein (CRP) and neutrophil-lymphocyte ratio (NLR).

Methods: The cohort included 400 patients (206 males, 194 females; mean age: 64.5 ± 17.1 years [range 20–100 years]) who were hospitalized between April 2020 and December 2021. Data were collected on demographic and clinical characteristics, including ward and critical care details. CRP, NLR, and PLR values were recorded on the first and last days of hospitalization. Patients were categorized based on their hospitalization outcomes.

Results: PLR statistically increased during hospitalization, from 245 ± 160 at admission to 341 ± 747 at discharge (P < 0.001). A significant association was found between PLR and both the length of hospital stay and mortality. The mean PLR in the deceased group was 445 ± 590, compared to 304 ± 795 in the survivors, P = 0.007. This finding showed a correlation between higher PLR and increased severity and mortality.

Conclusion: PLR has been identified as a relevant marker for assessing the severity of COVID-19. Elevated PLR levels are associated with cytokine storm, length of hospital stay, and mortality. The results highlight the relationship between elevated PLR and poor outcome in COVID‐19 patients, suggesting its use in monitoring disease progression and prognosis.

April 2017
Yuri Viner MD, Alexander Braslavsky MD and Salman Zarka MD MPH MA
December 2016
Faris Issa BSW and Salman Zarka MD MPH MA
June 2015
Elon Glassberg MD MHA, Tarif Bader MD MHA, Roy Nadler MD, Avi Benov MD MHA, Salman Zarka MD MPH MA and Yitshak Kreiss MD MHA MPA
February 2014
Salman Zarka, Masad Barhoum, Tarif Bader, Itay Zoaretz, Elon Glassberg, Oscar Embon and Yitshak Kreiss
September 2008
I. Grotto, S. Zarka, R. D. Balicer, M. Sherf, and J. Meyerovitch

Background: In view of the rising prevalence of obesity, the identification of young adult populations at risk is important for the formulation of intervention and prevention programs.

Objectives: To assess demographic and behavioral factors associated with an increase in body mass index in young healthy adults and to identify the incidence of overweight/obesity in this population.

Methods: Data on anthropometric measures, demographic characteristics, and health behaviors were collected retrospectively for a representative sample of young Israeli adults (11,391 men, 11,280 women) on their release from military service (age 20–22 years) between 1989 and 2003. The incidence of overweight (BMI[1] < 25-< 30 kg/m2), incidence of obesity (BMI ≥ 30 kg/m2), and increase in BMI during military service were calculated.

Results: The average increase in BMI during military service was 1.11 kg/m2 in males and 1.08 kg/m2 in females. A greater increase was positively associated with low paternal education and smoking cessation, and negatively associated with high physical activity. Twelve percent of subjects with a normal BMI on recruitment became overweight, and 21.7% of overweight subjects became obese. On multivariate logistic regression analysis, a higher incidence of overweight was associated with low education level (in both the subject and his or her father) in both genders, and non-use of oral contraceptives and low level of physical activity in females.

Conclusions: BMI appears to increase significantly during early adulthood. Intervention programs should be targeted specifically at subjects with low education or who started smoking before age 18, and physical activity (especially among females) should be encouraged.






[1] BMI = body mass index


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