基于入院时血清钾水平的st抬高型心肌梗死(stemi)患者预后。

Sidra Qayyum Malik, Fatima Qayyum, Masud Akhtar Malik, Hamza Javed, Ayub Khan
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引用次数: 0

摘要

背景:钾水平在心血管患者中起着重要作用,低钾血症和高钾血症对死亡率有深远的影响。本研究的目的是探讨急性st段抬高型心肌梗死(STEMI)患者入院时血清钾水平与住院死亡率的相关性。方法:本研究在阿伯塔巴德Ayub教学医院心内科进行,纳入225例STEMI患者,均行链激酶溶栓治疗。在入院时记录患者的血清钾水平,并观察其与短期结果的相关性,即出院与住院72小时内未能存活的患者。结果:入院时平均血钾水平为4.2 mmol/dL, 74.2%患者存活出院。T检验表明,死亡风险较高与年龄有关。性别、血清钾水平、收缩压、心率和结果之间无显著关联。Logistic回归分析进一步表明,年龄与死亡结局有显著相关。结论:在我们的研究中,年龄对预测STEMI患者的死亡率有显著影响,而入院时的血钾水平没有表现出任何显著的预测价值。需要进一步的研究来阐明各种因素在预测死亡率中的复杂相互作用,以改善AMI的管理实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OUTCOME OF PATIENTS WITH ST ELEVATION MYOCARDIAL INFARCTION (STEMI) BASED ON ADMISSION SERUM POTASSIUM LEVEL.

Background: Potassium levels play a significant role in cardiovascular patients, with hypokalemia and hyperkalemia having profound effects on the mortality rate. The aim of this study was to investigate the correlation of admission serum potassium levels and in-hospital mortality in patients suffering from acute ST-elevation myocardial infarction (STEMI).

Methods: The study was conducted in the Department of Cardiology, Ayub Teaching Hospital Abbottabad, and involved 225 patients with STEMI who underwent thrombolysis with streptokinase. The serum potassium levels of patients were recorded at the time of admission, and its correlation was observed with the short-term outcomes, i.e., discharge to home versus those who did not survive during the hospital stay of 72 hrs.

Results: The mean level of serum potassium at admission was 4.2 mmol/dL and 74.2% patients were discharged alive. T test indicated that a higher risk of death was associated with old age. No significant association between gender, serum potassium levels, systolic blood pressure, heart rate, and outcomes was seen. Logistic regression analysis further showed that age had a significant association with the outcome of death.

Conclusions: In our study, age had a significant impact on predicting the mortality of patients with STEMI and whereas the serum potassium levels at the time of admission did not exhibit any significant predictive value. Further research is needed to elucidate the complex interplay of various factors in predicting mortality, to improve the management practices of AMI.

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