The Value of Visfatin in the Prediction of Metabolic Syndrome: A Multi-Factorial Analysis

We describe the adipokine concentration in patients with metabolic syndrome, stressing the role of visfatin. A cross-sectional single center study on 70 patients with metabolic syndrome plus 76 controls was performed. Patients with metabolic syndrome had higher visfatin levels compared to controls, following adjustments for age, sex, waist/hip circumference, systolic, and diastolic blood pressure, fasting plasma glucose (FPG), HbA1c, body mass index, and homeostasis model assessment of insulin resistance (HOMA-IR) [(5.39 ± 0.29 vs. 3.88 ± 0.32); F(1, 129) = 10.8, P < 0.01]. A logistic regression analysis revealed that circulating visfatin levels and HbA1c were the top variables for predicating metabolic syndrome. In patients with metabolic syndrome, visfatin did not correlate with any of the measured variables, with the single exception of adiponectin; in patients without metabolic syndrome, circulating visfatin levels were significantly associated with FPG, HbA1c, insulin, HOMA-IR, HDL, and triglyceride. These findings may contribute to our current knowledge about visfatin in metabolic syndrome.     

Work-related accidents among the Iranian population: a time series analysis, 2000–2011

Background

Work-related accidents result in human suffering and economic losses and are considered as a major health problem worldwide, especially in the economically developing world.

Objectives

To introduce seasonal autoregressive moving average (ARIMA) models for time series analysis of work-related accident data for workers insured by the Iranian Social Security Organization (ISSO) between 2000 and 2011.

Methods

In this retrospective study, all insured people experiencing at least one work-related accident during a 10-year period were included in the analyses. We used Box–Jenkins modeling to develop a time series model of the total number of accidents.

Results

There was an average of 1476 accidents per month (1476·05±458·77, mean±SD). The final ARIMA (p,d,q) (P,D,Q)_s model for fitting to data was: ARIMA(1,1,1)×(0,1,1)₁₂ consisting of the first ordering of the autoregressive, moving average and seasonal moving average parameters with 20·942 mean absolute percentage error (MAPE).

Conclusions

The final model showed that time series analysis of ARIMA models was useful for forecasting the number of work-related accidents in Iran. In addition, the forecasted number of work-related accidents for 2011 explained the stability of occurrence of these accidents in recent years, indicating a need for preventive occupational health and safety policies such as safety inspection.     

Diagnosing Malaria Cases Referred to the Malaria Reference Laboratory in Tehran University of Medical Science,Iran

Background:

The number of malaria cases is declining worldwide; however, it remains as a serious health problem. Diagnosing unusual cases is the most important issue to manage the problem. This study designed to describe the number of falciparum and vivax malaria infected patients referred to Malaria Reference Laboratory in Tehran University of Medical Science from 2000 to 2012.

Methods:

A retrospective study was conducted based on the collected questionnaires from each patient referred to the laboratory. Diagnosing results and demographic information for positive cases were analyzed using SPSS software. Problematic cases were evaluated for any difficulties in diagnosis or in clinical signs. Scanning and molecular methods were performed whenever there was an atypical case referred to the laboratory. Some of the samples had various difficulties for diagnosing such as presence of fussed gametocytes and schizonts of Plasmodium falciparum in peripheral blood and CCHF like hemoragic disorders.

Results:

Plasmodium vivax caused a large proportion of the cases (76.1%) in contrast with P. falciparum that included smaller proportion (22.8%) and the rest (1.1) belonged to mixed infection. Most of the positive cases (69.6%) were belonged to Afghani people. Men (94.6%) showed more infection than women (5.4%), moreover the most infection (44.5%) was seen at a range of 21–30 yr.

Conclusion:

In the case of existing atypical issues to diagnose, it is needed to perform more precise microscopical examination beyond the current standard conditions. Sometimes molecular method is required to verify the exact agent of the disease.     

A Bayesian model for triage decision support

OBJECTIVE: To compare triage decisions of an automated emergency department triage system with decisions made by an emergency specialist. METHODS: In a retrospective setting, data extracted from charts of 90 patients with chief complaint of non-traumatic abdominal pain were used as input for triage system and emergency medicine specialist. The final disposition and diagnoses of the physicians who visited the patient in Emergency Department (ED) as reflected in the medical records were considered as control. Results were compared by chi(2)-test and a binary logistic regression model. RESULTS: Compared to emergency medicine specialist, triage system had higher sensitivity (90% versus 64%) and lower specificity (25% versus 48%) for patients who required hospitalization. The triage system successfully predicted the Admit decisions made in the ED whereas the emergency medicine specialist decisions could not predict the ED disposition. Both triage system and emergency medicine specialist properly disposed 56% of cases, however, the emergency medicine specialist in this study under-disposed more patients than the triage system considering Admit disposition (p=0.004) while he appropriately discharged more patients compared to the triage system (p=0.017). CONCLUSION: The triage system studied here shows promise as a triage decision support tool to be used for telephone triage and triage in the emergency departments. This technology may also be useful to the patients as a self-triage tool. However, the efficiency of this particular application of this technology is unclear.     

Prevalence of asthma and rhinitis in bakery workers in the city of Sanandaj, Iran

Baker's asthma is one of the most common forms of occupational asthma. This study was conducted to determine prevalence of asthma and rhinitis among bakery workers in the city of Sanandaj, the provincial center of Kurdistan province in the west of Iran in the in Summer 2006. In this study 776 bread bakery workers were included. These subjects were selected randomly among 1620 bakery workers. The diagnosis of asthma was based on a medical history of episodic symptoms of cough, chest tightness, and dyspnea and spirometry. Airflow obstruction was determined with spirometry, the definition of airflow obstruction which was used in this study was an FEV1/FVC ratio < 0.8, and FEV1 or FVC increases of > or = 12 percent and at least 200 mL after using a short-acting inhaled beta2-agonist. Rhinitis was diagnosed by typical history of work related symptoms. Analyses were performed on 776 subjects (all were men) without missing data for asthma and rhinitis. All of subjects were male with mean age of 33.69+/-11.09 years. Mean duration of bakery working for these subjects was 13.91+/-9.37 years. Prevalence of asthma at the time of study was 11.9%. 93 subjects were diagnosed as asthma with history, physical and spirometry findings. 31 (33.3%) of asthmatic workers were diagnosed as asthma previously and 62 (66.6%) workers were known as new asthmatic patients which were diagnosed in this study program. The prevalence of rhinitis was (9.9%). Subjects with asthma had longer history of working at bakery than others (P=0.001). Asthma prevalence among these bakery workers that were included in our study was similar and in some instances the prevalence was lower than other studies.