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Background: This study aims to predict the trend of procurement and storage of various blood products, as well as planning and monitoring the consumption of blood products in different centers across Iran based on artificial intelligence until the year 2027., Methods: This research constitutes a time-series investigation within the realm of longitudinal studies. In this study, information on the number of packed red blood cells (RBC), leukoreduced red blood cells (LR-RBC), and platelets (PLT), PLT-Apheresis, and fresh frozen plasma (FFP) was requested from all blood transfusion centers in the country and extracted using a unified protocol. After the initial examination of the information and addressing data issues and inconsistencies, the corrected data were analyzed. Both conventional and artificial intelligence approaches were used to predict each product in this study. The best model was selected based on goodness-of-fit indicators RMSE and MAPE., Results: Based on the obtained results, the FFP product will follow a relatively consistent process similar to previous years in the next five years. The PLT product is predicted to have a growing trend over the next 5 years, which applies to both the demand and supply of the product. The PLT-Apheresis product also shows a similar upward trend, albeit with a lower growth rate. The RBC product will have a constant trend over a 5-year period (long-term) according to both models, taking into account short-term changes. Similarly, there is a similar trend in LR-RBC, with the expectation that short-term pattern repetition will continue over a 5-year period (long-term). Comparing the goodness-of-fit results, the LSTM model proved to be better for predicting the dominant blood products., Conclusions: The growth of the elderly population and diseases related to old age, and on the other hand, the trend of increasing the consumption of the product with a short lifespan (PLT) requires the activation of the management of the patient's blood, especially in relation to this product in medical centers. The trend for other products in the next five years is similar to previous years, and no growth in demand is observed. The LSTM method, considering periodic and cyclical events, has performed the prediction., (© 2024. The Author(s).)

Background: Coronary artery disease (CAD) is recognized as the leading cause of death worldwide. This study analyses CAD risk factors using an artificial neural network (ANN) to predict CAD., Methods: The research data were obtained from a multi-center study, namely the Iran-premature coronary artery disease (I-PAD). The current study used the medical records of 415 patients with CAD hospitalized in Razi Hospital, Birjand, Iran, between May 2016 and June 2019. A total of 43 variables that affect CAD were selected, and the relevant data was extracted. Once the data were cleaned and normalized, they were imported into SPSS (V26) for analysis. The present study used the ANN technique., Results: The study revealed that 48% of the study population had a history of CAD, including 9.4% with premature CAD and 38.8% with CAD. The variables of age, sex, occupation, smoking, opium use, pesticide exposure, anxiety, sexual activity, and high fasting blood sugar were found to be significantly different among the three groups of CAD, premature CAD, and non-CAD individuals. The neural network achieved success with five hidden fitted layers and an accuracy of 81% in non-CAD diagnosis, 79% in premature diagnosis, and 78% in CAD diagnosis. Anxiety, acceptance, eduction and gender were the four most important factors in the ANN model., Conclusions: The current study shows that anxiety is a high-prevalence risk factor for CAD in the hospitalized population. There is a need to implement measures to increase awareness about the psychological factors that can be managed in individuals at high risk for future CAD., (© 2024. The Author(s).)

Objectives: Metabolic syndrome (MetS) is a constellation of coexisting cardiovascular risk factors. This study aimed to assess the evidence for the association between the apolipoprotein B/A1 ratio, apolipoprotein B, and apolipoprotein A1, and the MetS in children and adolescents., Methods: The English electronic databases including PubMed, Embase, Web of Science, and Scopus were searched up to February 28, 2022. To ascertain the validity of eligible studies, modified JBI scale was used. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were pooled using the random-effects model to evaluate the association between the apolipoprotein B/A1 ratio, apolipoprotein B, and apolipoprotein A1 and the MetS. Heterogeneity amongst the studies was determined by the use of the Galbraith diagram, Cochran's Q-test, and I 2 test. Publication bias was assessed using Egger's and Begg's tests., Results: From 7356 records, 5 studies were included in the meta-analysis, representing a total number of 232 participants with MetS and 1320 participants as control group. The results indicated that increased levels of apolipoprotein B/A1 ratio (SMD 1.26; 95% CI: 1.04, 1.47) and apolipoprotein B (SMD 0.75; 95% CI: 0.36, 1.14) and decreased levels of apolipoprotein A1 (SMD -0.53; 95% CI: -0.69, -0.37) are linked to the presence of MetS. The notable findings were, children and adolescents with MetS had elevated levels of the apolipoprotein B/A1 ratio, apolipoprotein B, and decreased levels of apolipoprotein A1., Conclusions: Our results suggest the need to evaluate the levels of apolipoproteins for detecting the risk of MetS in children and adolescents., Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01235-z., Competing Interests: Conflicts of interest/competing interestsThe authors have no conflicts of interest. Authors also indicate that they did not have a financial relationship with the organization that sponsored the research and had full control of all primary data and agree to allow the journal to review their data if requested., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023, corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background and Aims: This cross-sectional study aimed to determine potential factors with a strong association with metabolic syndrome (MetS) among obesity and lipid-related parameters, and liver enzymes, fasting blood glucose (FBG), and blood pressure (BP) as well as some sociodemographic factors in elderly over 60 years old from a sample of Birjand Longitudinal Aging Study (BLAS)., Methods: A total of 1366 elderly Birjand participants were enrolled and divided into non-MetS (n = 512) and MetS (n = 854) groups based on the status of MetS from January 2018 to October 2018. The anthropometric parameters, blood lipid profiles, liver enzymes, and disease history were evaluated and recorded., Results: 62.5% of the participants from our sample of elderly Birjand have MetS (33.4% in males and 66.6% in females). The prevalence of MetS in females was significantly higher than in males (P < 0.001). The increasing trend in the number of MetS components (from 0 to 5) was observed in females (p < 0.001). Odds ratio showed a strong association between female gender [8.33 (5.88- 11.82)], obesity [8.00 (4.87-13.14)], and overweight [2.44 (1.76-3.40)] with MetS and acceptable association between TG/HDL [(1.85 (1.62-2.12)] with MetS., Conclusion: This study indicated that the female sex, overweight and obesity have a strong association with MetS and TG/HDL has an acceptable association found in the sample of the elderly Birjand population. However, due to the obvious limitations of our study including the homogeneous sex and race of population, and no adjustment for several important confounding factors including sex, different ages, stage in the elderly, alcohol consumption, smoking, married status, physical activity, diet, and family history of CVD, more epidemiological investigations are needed to address this question., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Elderly people have a greater risk than others to develop atherosclerotic disorders. Statins are the most efficient treatments against atherosclerosis; however, the pros and cons of the treatment should be put in balance in regard to the target level of low-density lipoprotein cholesterol (LDL-C). This study evaluates the level of LDL in the Birjand elderly population and determines the achievement of target LDL-C level, according to the American College of Cardiology (ACC) guidelines., Methods: A retrospective observational study of statin therapy was performed from October 2018 using Birjand community health assessment data of the BLAS project. We used the 2018 ACC/AHA guidelines to determine the achievement of target LDL level in statin treated patients with clinical atherosclerotic cardiovascular diseases (ASCVD), or elderly high risk diabetic patients and dyslipidemia ones, in the Birjand elderly dwellers, stratified by statin treatment intensity. Statin and non-statin users were also compared in terms of demographic and laboratory findings. Mann-Whitney U test and Chi-Square test were used for data analysis., Results: Out of 1418 elderly residents in this study, 683 individuals (48.2%) were male with a mean age of 69.73±7.56 years. The total mean level of LDL-C in elderly participants was 122.83±36.21 mg/dL. The mean level of LDL-C in statin use and none statin use group was 104.97±36.01 and 129.09±34.14, respectively. Only 304 (29.2%) of participants who were eligible for statin administration used the statin. While 69 (18.3%) individuals from 378 (26.7%) were using statin though they were not eligible for it. In the clinical ASCVD group, 39 (28.3%) of elderly participants achieved target LDL-C based on the ACC/AHA guideline. This was 58 (37.4%) for other participants with LDL-C ≥190 mg/dL, diabetic or participants with Framingham Risk Score (FRS) ≥10%., Conclusions: The majority of patients who were eligible for high or moderate-intensity statin treatment had not received statin. Only one third of clinical ASCVD patients and almost half of high risk patients achieved LDL-C target values. Findings illustrate current treatment may need to be reconsidered in Birjand elderly dwellers treated with statin and physicians, should be updated on the use of statins., Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest., (© Springer Nature Switzerland AG 2021.)

Background: In 2013, there was an estimation of greater than 4.5 million Afghan refugees who had migrated to the least developed countries. Over one million are legally registered in Iran. We assessed the heart health status as described by the American Heart Association (AHA) in the Afghan refugee populace., Methods: This cross-sectional survey was carried out on 1,634 Afghan refugees, including 746 males (45.7%) and 888 females (54.3%), selected through a convenience sampling method in 2016. The American Heart Association's seven cardiovascular health metrics were evaluated to specify the status of heart health in Afghan refugees. Differences with age and sex were analyzed using the χ 2 test., Results: Only one (0.1%) participant met the ideal for all seven cardiovascular health metrics. No significant differences were found between women and men in meeting the ideal criteria for more than five cardiovascular health metrics. As age increased, the proportion of refugees who met the ideal for more than five cardiovascular health metrics declined., Conclusions: Refugees were not meeting the ideal cardiovascular health for some of the assessed metrics. Intervention to improve and monitor heart health in Afghan refugees is needed., Competing Interests: Conflict of InterestThe authors declare that they have no conflict of interest., (© Springer Nature Switzerland AG 2021.)

Lipid goal achievement and statin consumption were estimated at extreme/very-high/high/moderate and low cardiovascular risk categories. In the cross-sectional study, 585 patients treated with statin therapy referring to the heart clinic of Birjand were recruited. Patients were classified and examined LDL-C values and the proportion reaching targets according to the American Association of Clinical Endocrinologists guideline. Three patterns of statin use (high/moderate/low-intensity statin therapy) in all patients were examined and attainments of LDL-C goal in cardiovascular risk groups have been demonstrated. Over half the populations (57.6%) were in the very-high CVD risk group. The results showed that the proportion of patients meeting total LDL-C goal values according to the guidelines was 43.4%. The frequency of patient had achievement LDL goal lower in high-intensity pattern (N = 13, 2.3%), compared with moderate (N = 496, 86.1%) and low-intensity patterns (N = 67, 11.6%). In general, LDL-C goal achievement was greatest with moderate-intensity statin use. LDL-C reduction after statin consumption was estimated about one-third of the studied population. It seems likely that the achievement of a therapeutic target for serum lipids such as LDL-C improved is far more cost-effective and would be able to reach the target LDL as well changing the type and intensity of statins.