ABSTRACT
Objectives: Therapeutic plasma exchange (TPE) is a plasmapheresis procedure whose Safety data for pediatric neuro-immunological disorders (PNID) is confined. The present research documents TPE's safety and feasibility data in these conditions. Materials & Methods: The current study involved six distinct groups of patients with PNID undergoing TPE: neuromyelitis optic spectrum disorder (NMOSD), autoimmune encephalitis (AIE), acute disseminated encephalomyelitis (ADEM), multiple sclerosis (MS), Guillain-Barre syndrome (GBS), and optic neuritis (ON). This study documented complications related to each TPE process. In addition, TPE's efficacy was studied in these patients. Results: The present study recorded adverse effects in 18 patients with PNID that received 121 TPE cycles: five cycles (4.13%) in MS, three (2.48%) in AIE subgroup, one (0.82%) in ADEM, and two (1.65%) in GBS. No severe complications were observed among the patients. Conclusion: Patients with PNID tolerated therapeutic plasma exchange, which was a safe process.
ABSTRACT
BACKGROUND: Estimating the burden of diseases, injuries and major risk factors is necessary for adopting appropriate health policies in every country, and this paper aims to explain the study protocol of national and sub-national burden of breast cancer in Iran from 1990 to 2013. METHODS: We will perform a systematic review of the confirmed databases and literature to gather data on breast cancer epidemiology in Iran. The definitions, data sources, organizing the team, methods of data gathering and data generating will be explained in this paper. The methodology of estimating the trend of prevalence, years of life lost due to premature death (YLLs), years of life lost due to disability (YLDs) and disability-adjusted life years lost (DALYs) of breast cancer by age groups, provinces and probable inequalities will be explained. We will tackle possible data problems due to the lack of data points on provinces and years and also geographical misalignment by using two advanced statistical methods, namely Bayesian autoregressive multilevel and Spatio-temporal models. Trend estimation will be reported using these two models together with uncertainty intervals. CONCLUSION: This study provides a comprehensive assessment of breast cancer and its specific pattern in Iran. The results will help policy makers to know the trend of prevalence, the distribution, and the inequalities of breast cancer in Iran to allocate resources in a better way.
Subject(s)
Breast Neoplasms/epidemiology , Cost of Illness , Bayes Theorem , Clinical Protocols , Epidemiologic Research Design , Female , Humans , Iran/epidemiology , Models, Statistical , Prevalence , Quality-Adjusted Life Years , Review Literature as Topic , Spatio-Temporal AnalysisABSTRACT
BACKGROUND: Non-communicable diseases, as the major public health problem, are caused by different risk factors. The main leading lifestyle risk factors for most diseases burden in Iran are unhealthy diet, physical inactivity, and smoking. The aim of this study is to provide data collection and methodology processes for estimating the trends of exposures to the selected lifestyle risk factors and their attributed burden at national and sub-national levels. METHODS: Systematic review will be performed through PubMed/MEDLINE, Scopus and ISI/Web of Science as well as Iranian databases such as IranMedex, Irandoc and Scientific Information Database (SID). In addition, hand searching of unpublished data sources will be used to identify relevant population-based studies. The searched studies will be included only if it is reasonably population-based and representative, and exposure data has been reported or could be plausibly obtained from the study. For risk factors with no surveys identified, other sources of potential data will be considered. The target population is healthy Iranian adult population living within Iran from 1990 to 2013. Other data sources include national censuses, national registration systems, and national and sub-national surveys. Spatio-temporal Bayesian hierarchical model and Bayesian multilevel autoregressive model will be used to overcome the problem of data gaps in provinces, and in some age or sex groups or in urban/rural areas. The problem of misaligned areal units will be also addressed in these models. CONCLUSION: National and sub-national assessment of major lifestyle risk factors such as unhealthy diet, physical inactivity, and smoking is necessary for priority setting and policy making in different regions of Iran.