- 期刊
北部某醫院醫療從業人員血漿致動脈粥狀硬化指數與十年心血管疾病風險之探討
Atherogenic Index of Plasma and Cardiovascular Disease Risk Assessment of Hospital Employee in a Northern Taiwan Hospital
摘要
目的：醫療人員的健康狀況，一直是全球維持醫療能量最重要的議題之一。如何預防心血管疾病更是其中最關鍵的課題。近年研究指出血漿致動脈粥狀硬化指數（atherogenic index of plasma, AIP）是經濟、快速及較低侵入性的檢測方式。本研究藉由瞭解醫療從業人員的AIP指數與各項危險因子的關係。進一步探究AIP與心血管疾病風險之相關性。方法：本研究為回顧性橫斷式研究，蒐集自2014年到2018年間北部某醫院醫療從業人員的年度體檢報告。心血管疾病風險以佛萊明漢心血管風險評分表（Framingham risk score, FRS）計算。研究中依照AIP指數將受檢者資料分成低、中、高三組。分析各項危險因子與AIP組間之關係。並分析AIP與心血管疾病風險之相關性。結果：本研究共納入1312名醫療從業人員資料。結果發現不論是年齡、性別、血壓…等各項心血管危險因子，於AIP分組間皆有統計學上顯著差異（p-value＜0.001）。且AIP與十年心血管中高風險（FRS≥10%）於校正性別年齡再加上BMI、高血壓、糖尿病及高血脂症，可發現在中及高AIP組於FRS中高風險勝算比分別為OR 5.28,95%CI 1.55-17.98.38及OR 9.56,95%CI 2.87-31.91。皆達統計學上顯著意義（p value＜0.05）。而在心血管中高風險族群在血漿致動脈硬化指數（AIP）三分位組所佔比率中，高AIP組達到69.0%。且趨勢分析P值小於0.001。結論：本研究結果顯示醫療從業人員較高的AIP指數與FRS十年心血管疾病中高風險族群有獨立的相關性。但仍需其他研究來完成屬於本土的標準值建立。以期AIP能作為心血管疾病預測的新指標。
並列摘要
Background and Purpose: The well-being of medical workers has always been one of the most important issues in maintaining medical resources worldwide. The prevention of cardiovascular disease is one of the most critical concerns. Recently, studies have shown that the athero-genic index of plasma (AIP) is an economical, rapid and less invasive test. This study was conducted to understand the relationship between AIP and risk factors among medical practitioners, and further investigated the association between cardiovascular disease risk. Methods: This is a retrospective cross-sectional study that collected annual medical examination reports from medical workers in a northern hospital from 2014 to 2018. CVD risk was calculated using the Framingham risk score (FRS). The data were divided into low, medium and high groups according to the AIP. The association between risk factors and AIP groups was analyzed. The association between AIP and CVD risk was analyzed. Results: A total of 1312 medical workers were included in this study. The results showed statistically significant differences (p-value＜0.001) between the AIP subgroups in terms of age, sex, blood pressure, and other CVD risk factors. The difference between AIP and 10-year intermediate and high CVD risk (FRS≥10%), corrected for sex and age plus BMI, hypertension, diabetes mellitus and hyperlipidemia, was found to be OR 5.28, 95% CI 1.55-17.98 and OR 9.56, 95% CI 2.87-31.91 in the medium and high AIP groups, respectively. All of those scores were statistically significant (p value＜0.05). The high AIP group accounted for 69.0% of the high AIP groups in the CV intermediate-risk group in the AIP tertile. The p value of trend analysis was less than 0.001. Conclusion: The results of this study suggest that higher AIP scores among the medical staff are independently associated with higher risk groups in the FRS 10-year CVD. However, additional studies are necessary to complete the establishment of a local normative value. It is expected that AIP can be used as a new indicator for predicting CVD.
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