Why the study?
Can physiological variables and noninvasive cardiovascular indicators at sea level predict acute mountain sickness upon high altitude exposure?
Can physiological variables and noninvasive cardiovascular indicators at sea level predict acute mountain sickness upon high altitude exposure?
A novel prediction equation using baseline physiological and cardiovascular indicators (eosinophils, alkaline phosphatase, PNN50) may help provide early warning for acute mountain sickness.
May aid noninvasive AMS risk stratification at altitude; leaves open the need for prospective validation before clinical adoption.
=0.047) were significantly lower. Using the Lake Louise Score as the dependent variable, prediction equation were established to estimate AMS: Lake Louise Score=3.783+0.281×eosinophil-0.219×alkaline phosphatase+0.032×PNN50. Conclusions We elucidated the differences of physiological variables as well as noninvasive cardiovascular indicators for subjects after high altitude exposure compared with those at sea level. We also created an acute high altitude reaction early warning equation based on the physiological variables and noninvasive cardiovascular indicators at sea level.
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Li et al. (2020) studied this question.
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