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Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E-App.基于互动电子应用程序的糖尿病患者监测系统的机器学习实现。
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Machine Learning of Medical Applications Involving Complicated Proteins and Genetic Measurements.医学应用中涉及复杂蛋白质和遗传测量的机器学习。
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BMC Endocr Disord. 2018 Mar 5;18(1):16. doi: 10.1186/s12902-018-0244-4.
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Investigating the potential effect of consanguinity on type 2 diabetes susceptibility in a Saudi population.研究近亲结婚对沙特人群2型糖尿病易感性的潜在影响。
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NGHA,利雅得的双相情感障碍患者代谢综合征的患病率及其相关性。

Prevalence and Correlation of Metabolic Syndrome in Patients with Bipolar Disorder in NGHA, Riyadh.

机构信息

Department of Basic Medical Sciences, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia.

King Abdullah International Medical Research Centre (KAIMRC), Riyadh, Saudi Arabia.

出版信息

Biomed Res Int. 2022 Jul 18;2022:5847175. doi: 10.1155/2022/5847175. eCollection 2022.

DOI:10.1155/2022/5847175
PMID:35898675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9314176/
Abstract

BACKGROUND

Metabolic syndrome is considered dangerous, especially to patients that are diagnosed with a mental condition such as bipolar disorder, since these types of patients can be difficult to deal with. Metabolic syndrome can lead to multiple cardiovascular diseases, strokes, and diabetes. A careful approach is important when it comes to facing a complex condition such as this. This research will contribute to giving more information about the prevalence and statistics of metabolic syndrome in bipolar disorder patients at NGHA, Riyadh. No published study in literature has investigated the prevalence of metabolic syndrome in patients with bipolar disorder in NGHA, Riyadh.

METHODS

The study was conducted among 191 adult male (66) and female (125) patients at NGHA, Riyadh. The medical records were used for the assessment of metabolic syndrome and referrals by using a chart review for individuals. The main variables are metabolic syndrome and bipolar disorder. It was conducted on both males and females. Data was collected on data collection form and further analysis on relations was made by using SAS (Version 9.4). Chi-squared test and the Wilcoxon Two-sample test for two-level continuous variables. ≤ 0.05 was determined to be the significance level.

RESULTS

Out of 191 patients, 130 were obese, 85 had diabetes, and 89 were hypertensive. Additionally, 50 (40%) females and 29 (43.9%) males had metabolic syndrome, a total of 79 (41.4%) out of 191.

CONCLUSION

The findings of this study indicate that there is an elevated prevalence of metabolic syndrome in bipolar disorder patients in NGHA, Riyadh. Highlighting the potential danger that people may not be aware of.

摘要

背景

代谢综合征被认为是危险的,尤其是对于那些被诊断出患有双相情感障碍等精神疾病的患者,因为这些类型的患者可能难以处理。代谢综合征可导致多种心血管疾病、中风和糖尿病。在面对这种复杂的情况时,需要谨慎处理。本研究将有助于提供更多关于 NGHA、利雅得的双相情感障碍患者代谢综合征的患病率和统计数据的信息。文献中没有发表过研究调查 NGHA、利雅得的双相情感障碍患者代谢综合征的患病率。

方法

该研究在 NGHA、利雅得的 191 名成年男性(66 名)和女性(125 名)患者中进行。使用病历评估代谢综合征,并通过图表回顾为个体转介。主要变量是代谢综合征和双相情感障碍。它在男性和女性中都进行了研究。在数据收集表上收集数据,并使用 SAS(版本 9.4)进一步分析关系。卡方检验和两水平连续变量的 Wilcoxon 两样本检验。≤0.05 被确定为显著性水平。

结果

在 191 名患者中,130 名肥胖,85 名患有糖尿病,89 名患有高血压。此外,50 名(40%)女性和 29 名(43.9%)男性患有代谢综合征,共 191 名患者中有 79 名(41.4%)。

结论

本研究的结果表明,NGHA、利雅得的双相情感障碍患者中代谢综合征的患病率较高。这突显了人们可能没有意识到的潜在危险。