Modified mallampati score – Does it predict more than a difficult airway? A community-based study assessing the association between modified mallampati score and obstructive sleep apnea

JithinMathew Abraham, SangeethaMerrin Varghese, GincyAnn Lukachan, AshuSara Mathai
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Abstract

Background and Aims: The suspicion of obstructive sleep apnea (OSA) has serious implications for an anesthesiologist perioperatively. This study examines the association between the modified Mallampati scoring (MMS) and the STOP-BANG score in a community setting. Materials and Methods: This was a community-based cross-sectional survey among 702 adults in a rural area in South India. Airway assessment using MMS and assessment for OSA using STOP-BANG scoring were made by junior doctors trained in the anesthesia department. The association between the Mallampati score and the STOP-BANG score was tested by the Chi-square test using the SPSS version 21. Results: Among the community-dwelling adults, 19.2% had a score of 1, 27.9% had a score of 2, 31.3% had a score of 3, and 21.5% had a score of 4 on the Mallampati scoring system. Using the STOP-BANG score for risk stratification of OSA, 29.2% had an intermediate risk and 5.8% had a high risk for OSA. Higher Mallampati Grades (3 and 4) were a significant risk factor for OSA (61.8% vs. 38.2%, P = 0.001). Conclusion: A higher Mallampati class (3 or 4) is significantly associated with an intermediate-to high risk for OSA as assessed using STOP-BANG score criteria. Therefore, we suggest using the MMS not only as an airway screening tool but also as a predictor of OSA, in view of the rising obesity rates in India.
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改良mallampati评分-它预测的不仅仅是气道困难吗?一项基于社区的研究评估改良mallampati评分与阻塞性睡眠呼吸暂停之间的关系
背景和目的:阻塞性睡眠呼吸暂停(OSA)的怀疑对麻醉医师围手术期具有重要意义。本研究探讨了改良Mallampati评分(MMS)与社区环境中STOP-BANG评分之间的关系。材料和方法:这是一项以社区为基础的横断面调查,调查对象为印度南部农村地区的702名成年人。使用MMS评估气道和使用STOP-BANG评分评估OSA由麻醉科培训的初级医生进行。Mallampati得分与STOP-BANG得分之间的相关性采用χ 2检验,使用SPSS 21版。结果:在社区居住的成年人中,有19.2%的人在Mallampati评分系统中得分为1,27.9%的人得分为2,31.3%的人得分为3,21.5%的人得分为4。使用STOP-BANG评分进行OSA风险分层,29.2%的人有中度风险,5.8%的人有高风险。较高的Mallampati分级(3级和4级)是OSA的重要危险因素(61.8%比38.2%,P = 0.001)。结论:使用STOP-BANG评分标准评估,较高的Mallampati分级(3或4)与OSA的中至高风险显著相关。因此,鉴于印度肥胖率的上升,我们建议使用MMS不仅作为气道筛查工具,而且作为OSA的预测指标。
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