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ACS-NSQIP评分能否用于预测沙特人群的术后死亡率?

Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?

作者信息

Huda Anwar U, Yasir Mohammad, Sheikh Nasrullah, Khan Asad Z

机构信息

Department of Anesthesia, Security Forces Hospital, Riyadh, Saudi Arabia.

出版信息

Saudi J Anaesth. 2022 Apr-Jun;16(2):172-175. doi: 10.4103/sja.sja_734_21. Epub 2022 Mar 17.

Abstract

BACKGROUND

Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population.

METHODS

This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients.

RESULTS

The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05).

CONCLUSION

ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups.

摘要

背景

各种评分系统有助于术前对患者风险进行分类,从而决定最佳的可用治疗方案。美国外科医师学会国家外科质量改进计划(ACS - NSQIP)评分已在临床实践中应用数年。本研究旨在探讨ACS - NSQIP评分预测的死亡率与沙特人群中观察到的死亡率之间是否存在差异。

方法

这项前瞻性观察性研究在沙特阿拉伯王国利雅得的安全部队医院进行。我们纳入了在我院接受择期和急诊手术的患者。收集了30天的死亡率数据,然后计算观察到的与预期的(O/E)死亡率比值。我们研究的样本量为903例患者。

结果

该研究的平均ACS - NSQIP死亡风险评分(%)为0.49。预期死亡人数为4.42,而观察到的死亡人数为11,O/E比值为2.48(p值0.000)。除了美国麻醉医师协会(ASA)3级和4级患者外,我们未发现预期死亡率与观察到的死亡率之间存在显著差异,在这些患者中预期死亡人数低于观察到的死亡人数(p值<0.05)。

结论

ACS - NSQIP可可靠地用于术后死亡率预测,尤其是在低风险组。

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