Prevalence and associated factors of dyslipidemia in elderly people: Results from the Ardakan Cohort Study on Ageing, Iran.

BACKGROUND AND OBJECTIVE: Dyslipidemia is a major modifiable factor in elderly people. The study objective was to assess the prevalence and associated risk factors of dyslipidemia among the Iranian population aged over 50. METHODS: This population-based cross-sectional study is part of the Iranian Longitudinal Study on Ageing conducted in Ardakan, Iran. In total, 5,197 participants aged over 50 years old were included through a stratified random sampling method. Dyslipidemia was defined in compliance with the Adult Treatment Panel III criteria. The Chi-square and independent sample t-test were used to compare categorical and quantitative variables, respectively. A logistic regression analysis was applied to determine associated factors of dyslipidemia. RESULTS: The mean age of the participants was 62.24±7.52. The prevalence of dyslipidemia was 68.85%. High levels of total cholesterol, triglyceride, low-density lipoprotein, and low level of high-density lipoprotein were seen among 9.74%, 24.66%, 5.54%, 19.20% of the participants, respectively. In addition, 66.05% of the study participants were under the treatment of lipid-lowering medications. Among the possible investigated risk factors of dyslipidemia, male gender (odds ratio (OR) = 0.56, 95% confidence interval (CI): 0.47, 0.68), waist circumference (OR = 1.03, 95%CI: 1.02, 1.04), diabetes mellitus (OR = 2.28, 95%CI: 1.96, 2.66), and hypertension (OR = 1.59, 95%CI: 1.38, 1.83) showed a statistically significant association (p<0.05). CONCLUSION: Dyslipidemia is highly prevalent in Ardakan's older population. So, lipid management interventions are necessary for this population.

Malus domestica reduces chemotherapy-induced nausea and vomiting: A randomized double-blind placebo-controlled clinical trial.

BACKGROUND: Chemotherapy-induced nausea and vomiting (CINV) is considered as the most common complications of chemotherapy which has a detrimental influence on the quality of life of patients with cancer. We assessed the efficacy of Apple (Malus domestica) syrup for reducing CINV. MATERIALS AND METHODS: This study was a randomized, double-blind, placebo-controlled trial carried out in a Hematooncology Clinic affiliated to Mazandaran University of Medical Sciences, Sari, Iran (from October 2017 to August 2018). Subjects were randomly allocated to receive apple syrup or placebo along with their previous antiemetic treatment and chemotherapy regimen, three times a day. Thirty-four patients received apple syrup (n = 16) or placebo (n = 18). Statistical analysis was conducted using SPSS software Version 21® (SPSS Inc., Chicago, IL, USA). A P < 0.05 indicated statistical significance. RESULTS: Both acute and delayed nausea grades were significantly lower in M. domestica syrup in comparison to placebo syrup (P = 0.001 and 0.001, respectively). The duration of nausea (P = 0.04) was lower in intervention group compared to placebo group. CONCLUSION: These findings demonstrated that M. domestica syrup can reduce the severity and duration of nausea in cancer patients who received chemotherapy.

Urinary Metal Levels with Relation to Age, Occupation, and Smoking Habits of Male Inhabitants of Eastern Iran.

In low-income and middle-income countries such as Iran, smoking is becoming increasingly popular, especially among young people. This has led to additional exposure to a variety of substances, including metals which may exert a toxic influence and lead to severe diseases. In order to evaluate the influence of smoking on metal concentrations, a case-control study of levels of metal in urine was carried out in smokers (n = 64) and non-smokers (n = 35) from the city of Birjand (Iran). They were divided according to their age and socioeconomic status. Concentrations of cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), iron (Fe), nickel (Ni), lead (Pb), and zinc (Zn) were measured using ET-AAS. We found higher concentrations of Cd (0.03 vs. 0.12 µg/L), Co (0.6 vs. 1.22 µg/L), and Cr (14.00 vs. 18.17 µg/L) in the urine of smokers. Age and occupation are factors that also influence the levels of metals. Young smokers demonstrate higher Cd and Pb levels than other age groups. It would also appear that public sector workers and self-employed are the sectors most susceptible to high levels of metals.

Lead poisoning among opium users in Iran: an emerging health hazard.

BACKGROUND: Lead (Pb) poisoning among people using opium has been an increasing problem in Iran. The present study highlights the clinical effects of lead toxicity associated with opium use in Iran, Kerman province. METHODS: Between January 2016 and June 2016, patients with signs and symptoms of Pb poisoning were questioned to assess whether they had a history of opium dependency. In total, 249 patients were enrolled onto this cross-sectional study, all were opium dependent. Para-clinical data including blood lead level (BLL), demographic information, user preferences, and symptoms were obtained. RESULTS: The patients used either opium (83.9%), refined opium (6.4%) or a combination of both (9.7%) via ingestion (71.9%), smoking (8.4%) or a combination of both (19.7%). The overall median BLL was 80.0 µg/dL [IQR: 51.7-119.0]. The median BLL did not differ significantly between opium and refined opium users. Further, BLL was not significantly affected by the type of substance, route of use, duration of use, or daily quantity consumed. Common symptoms included abdominal pain (86.9%), constipation (75.8%), anorexia (71.5%) and nausea (54.7%). Linear regression analysis showed log of BLL was significantly associated with abdominal pain, myalgia and anorexia. CONCLUSIONS: The study unravelled an increase in opium-related Pb poisoning in the Kerman province. Raised awareness of this emerging Pb source and investigation of its aetiology is recommended. Pb poisoning should be considered among the primary differential diagnosis of opium users with gastrointestinal symptoms.

hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm.

BACKGROUND AND AIMS: Coronary heart disease (CHD) is an important public health problem globally. Algorithms incorporating the assessment of clinical biomarkers together with several established traditional risk factors can help clinicians to predict CHD and support clinical decision making with respect to interventions. Decision tree (DT) is a data mining model for extracting hidden knowledge from large databases. We aimed to establish a predictive model for coronary heart disease using a decision tree algorithm. METHODS: Here we used a dataset of 2346 individuals including 1159 healthy participants and 1187 participant who had undergone coronary angiography (405 participants with negative angiography and 782 participants with positive angiography). We entered 10 variables of a total 12 variables into the DT algorithm (including age, sex, FBG, TG, hs-CRP, TC, HDL, LDL, SBP and DBP). RESULTS: Our model could identify the associated risk factors of CHD with sensitivity, specificity, accuracy of 96%, 87%, 94% and respectively. Serum hs-CRP levels was at top of the tree in our model, following by FBG, gender and age. CONCLUSION: Our model appears to be an accurate, specific and sensitive model for identifying the presence of CHD, but will require validation in prospective studies.

Critical appraisal of fundamental items in approved clinical trial research proposals in Mashhad University of Medical Sciences.

Background: Writing, designing, and conducting a clinical trial research proposal has an important role in achieving valid and reliable findings. Thus, this study aimed at critically appraising fundamental information in approved clinical trial research proposals in Mashhad University of Medical Sciences (MUMS) from 2008 to 2014. Methods: This cross-sectional study was conducted on all 935 approved clinical trial research proposals in MUMS from 2008 to 2014. A valid and reliable as well as comprehensive, simple, and usable checklist in sessions with biostatisticians and methodologists, consisting of 11 main items as research tool, were used. Agreement rate between the reviewers of the proposals, who were responsible for data collection, was assessed during 3 sessions, and Kappa statistics was calculated at the last session as 97%. Results: More than 60% of the research proposals had a methodologist consultant, moreover, type of study or study design had been specified in almost all of them (98%). Appropriateness of study aims with hypotheses was not observed in a significant number of research proposals (585 proposals, 62.6%). The required sample size for 66.8% of the approved proposals was based on a sample size formula; however, in 25% of the proposals, sample size formula was not in accordance with the study design. Data collection tool was not selected appropriately in 55.2% of the approved research proposals. Type and method of randomization were unknown in 21% of the proposals and dealing with missing data had not been described in most of them (98%). Inclusion and exclusion criteria were (92%) fully and adequately explained. Moreover, 44% and 31% of the research proposals were moderate and weak in rank, respectively, with respect to the correctness of the statistical analysis methods. Conclusion: Findings of the present study revealed that a large portion of the approved proposals were highly biased or ambiguous with respect to randomization, blinding, dealing with missing data, data collection tool, sampling methods, and statistical analysis. Thus, it is essential to consult and collaborate with a methodologist in all parts of a proposal to control the possible and specific biases in clinical trials.