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在埃塞俄比亚西南部的 Jimma 医疗中心,患有代谢综合征的成年人中血清电解质紊乱及其相关因素:基于设施的横断面研究。

Serum electrolytes disorder and its associated factors among adults admitted with metabolic syndrome in Jimma Medical Center, South West Ethiopia: Facility based crossectional study.

机构信息

Department of Biomedical Science, Wolkite University, Biochemistry unit, College of Medicine and Health Sciences, Wolkite, Southern Ethiopia.

Department of Biomedical Science, Institute of Health, Jimma University, Biochemistry unit, Faculty of Medical Sciences, Jimma, South West Ethiopia.

出版信息

PLoS One. 2020 Nov 5;15(11):e0241486. doi: 10.1371/journal.pone.0241486. eCollection 2020.

DOI:10.1371/journal.pone.0241486
PMID:33152003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7644006/
Abstract

BACKGROUND

Electrolytes play an important role in controlling acid base balance, blood clotting, and body fluid and muscle contractions. Serum electrolytes concentrations are most commonly used tests for assessment of a patient's clinical conditions, and are associated with morbidity and mortality. Any derangements from the normal range of electrolyte levels in the body is described as electrolyte disorders. The Current study was aimed to determine serum electrolytes disorder and its associated factors among adults admitted with metabolic syndrome at Jimma medical center, South West Ethiopia.

METHODS

A Facility based cross sectional study was conducted on 256 patients admitted medical center with metabolic syndrome during the study period. The World Health Organization stepwise assessment tools and patients' medical records were used to collect information on factors associated with electrolyte disorders. Bivariable and Multivariable logistic regression analyses were performed to identify factors associated with electrolyte disorder at the level of significance of p value <0.25 with 95% confidence interval of crude odds ratio and <0.05 with 95% confidence interval of adjusted odds ratio respectively.

RESULTS

The overall prevalence of electrolyte disorders was 44.1% (95%CI:40.99-47.20) with hyponatremia 42.9% (95%CI:39.81-45.99) as the leading electrolyte disorder followed by hypokalemia 20.7% (95%CI:18.17-23.23), hypochloremia 17.6% (95%CI:15.22-19.98) and hypocalcemia 9.4% (95%CI:7.57-11.22). Non-formal education [AOR: 6.81; 95%CI:(3.48,17.01)] alcohol consumption [AOR: 4.28; 95%CI:(1.71,10.70)], diuretics, diuretics [AOR: 4.39; 95%CI:(2.10,9.15)], antidiabetics [AOR: 5.18; 95%CI:(2.44,11.00)], and body mass index [AOR: 11.51; 95%CI:(3.50,18.81)] were identified as independent factors for electrolyte disturbance in multivariable logistic regression.

CONCLUSION

The finding of the study revealed that nearly half the study participants with metabolic syndromes had electrolyte disorder. Educational status, habit of alcohol consumption, diuretics, antidiabetics, and having higher body mass index were the independent factors associated with electrolyte disorders. Determination of Serum electrolytes, proper administration of diuretic and health education on behavioral factors were the necessary measures that should be done by concerned bodies to reduce electrolytes disorder.

摘要

背景

电解质在控制酸碱平衡、血液凝结以及体液和肌肉收缩方面起着重要作用。血清电解质浓度是评估患者临床状况最常用的检测指标,与发病率和死亡率有关。任何超出正常范围的电解质水平都被描述为电解质紊乱。本研究旨在确定在埃塞俄比亚西南部吉姆马医疗中心因代谢综合征住院的成年人中血清电解质紊乱及其相关因素。

方法

在研究期间,对 256 名在医疗中心因代谢综合征住院的患者进行了一项基于机构的横断面研究。使用世界卫生组织逐步评估工具和患者的病历来收集与电解质紊乱相关的因素信息。采用单变量和多变量逻辑回归分析,以确定与电解质紊乱相关的因素,p 值<0.25 时具有 95%置信区间的粗比值比,p 值<0.05 时具有 95%置信区间的调整比值比。

结果

电解质紊乱的总患病率为 44.1%(95%CI:40.99-47.20),其中低钠血症 42.9%(95%CI:39.81-45.99)是最常见的电解质紊乱,其次是低钾血症 20.7%(95%CI:18.17-23.23)、低氯血症 17.6%(95%CI:15.22-19.98)和低钙血症 9.4%(95%CI:7.57-11.22)。非正规教育[AOR:6.81;95%CI:(3.48,17.01)]、饮酒[AOR:4.28;95%CI:(1.71,10.70)]、利尿剂、利尿剂[AOR:4.39;95%CI:(2.10,9.15)]、降糖药[AOR:5.18;95%CI:(2.44,11.00)]和体重指数[AOR:11.51;95%CI:(3.50,18.81)]在多变量逻辑回归中被确定为电解质紊乱的独立因素。

结论

研究结果表明,近一半患有代谢综合征的研究参与者存在电解质紊乱。教育程度、饮酒习惯、利尿剂、降糖药和较高的体重指数是与电解质紊乱相关的独立因素。测定血清电解质、合理使用利尿剂和开展行为因素健康教育是有关机构应采取的必要措施,以减少电解质紊乱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5604/7644006/8f87242f6387/pone.0241486.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5604/7644006/5feff787a087/pone.0241486.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5604/7644006/8f87242f6387/pone.0241486.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5604/7644006/5feff787a087/pone.0241486.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5604/7644006/8f87242f6387/pone.0241486.g002.jpg

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