A 4-year (2008-2011) community-based participatory research was implemented in the Kohgiloyeh and Boyerahmad province, Iran. A steering committee was established from academics, policy makers, health officials, and representatives of health sectors. This committee selected six regions within Boyerahmad and Dena counties based on administrative divisions. Health companions consisting of stakeholders, academics, local leaders, health providers, and public representatives were established to guide the project in each region. The health companion groups were enabled by attending workshops dealing with need assessment, priority setting, and research methodology. Health companion groups adopted a Planned Approach to Community Health (PATCH) methodology including community mobilization for data collection, health priority setting, developing of a comprehensive intervention plan, and evaluation. A list of main health issues and their priorities for each region was provided. Subsequently, research topics were determined and six surveys and intervention programs were planned and implemented. After intervention most of top priority health risk factors were decreased and the preventive programs that targeted risk factors were increased significantly. This project is found to be an effective approach for building stronger partnerships between researchers and community members for the development of effective solutions for local health concerns and promote public health.
Objectives: Coronavirus disease 2019 (COVID-19) associated by infection and high death rate. The unresolved questions about the fatality rate of COVID-19 is most probably related to cytokine storm syndrome. There is currently no specific medication. Understanding the pathogenic pathway of this disease will lead to production of treatment and decreases of death rate. The aim of this study is to investigate changes of peripheral blood parameters (Interleukin-6 and Ferritin) in COVID-19 patients, which may be beneficial in the management of patients.Methods: In this case-control study, we collected data of 270 subjects in two groups including 133 patients with severe type COVID-19 (case) and 137 patients with nonsevere (control) between March 20 and May 21, 2020, and the clinical symptoms and inflammatory indications of patients diagnosed by laboratory test in Shahid Jalil hospital of Yasuj University of medical Sciences were collected to explore potential markers for disease monitoring. The data were analyzed by SPSS software version 20. Descriptive statistics, T-test and bivariate correlation tests were used to analyze. Results: The enrolled COVID-19 patients consisted of 53.4% males and 46.6% females with the medium age of 45.56±18.55 years and there were 50.04% males and 49.6% females with the medium age of 45.59±17.0 years for non COVID-19 patients. There was no significant difference in the age and sex ratio between two population under study. The proportion interstitial abnormalities evidenced by CT imaging in COVID-19 patients was 91.0%, while, 4.4% abnormalities was found in non COVID-19 patients. The frequency of positive RT-PCR test for case and control groups were 88.0% and 3.6%, respectively. The mean IL-6 and Ferritin levels and hematological parameters in two groups of patients with COVID-19 and non- COVID-19, were significantly different across all comparisons.There was a direct positively correlated between serum level of IL-6, Ferritin levels and hematological parameters including WBC, Lymphocytes, Neutrophils and Hb, except for platelets (negatively correlate), with COVID-19. Conclusions: In conclusion, inflammatory markers specifically IL-6 and Ferritin and hematological parameters (WBC, Lymphocytes, Neutrophils, Platelet and Hb) were correlated with the severity of COVID-19. Measurement of IL-6, Ferritin and hematological indices might be workable tests to diagnosis and prognosis of patients with COVID-19.
Objectives: Metabolic syndrome components, such as being overweight or having hypertension, hyperlipidemia, or diabetes mellitus, are common complications after liver transplant in pediatric patients with probable multifactorial causes and increase the risk of cardiovascular complications in adulthood. In this study, our aim was to evaluate the prevalence of these components both before and after transplant surgery. Materials and Methods: Our study included all children having liver transplant at our institution over a period of 20 years who were under 18 years old and had at least 6 months of posttransplant follow-up. Prevalence of metabolic syndrome components and pretransplant and posttransplant laboratory data of patients were evaluated. Results: Over the 20-year study period, 391 liver transplant patients were included in our study, in which 167 were girls (42.7%) and 224 were boys (57.3%). Patients showed a posttransplant hyperlipidemia rate of 7.5%, hyperglycemia rate of 22%, hypertension rate of 9.6%, and metabolic syndrome rate of 50.2%. Pretransplant, the rate of patients with metabolic syndrome was 10.5%. Conclusions: Our study confirmed that the prevalence of metabolic syndrome in patients after liver transplant increases dramatically and should be explored with further research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.