GSTM1 and myocardial infarction: We included the following confounding variables that were meaningful to the model: sex, age, sodium, diabetes, calcium, LODS score, SOFA score, GCS score, chloride, myocardial infarction, respiratory rate, temperature, SpO2, PT, WBC count, peripheral vascular disease, MBP, paraplegia, norepinephrine, vasopressin, anion gap, bicarbonate, blood urea nitrogen, creatinine, INR, Hb, OASIS, SAPSII, norepinephrine, chronic pulmonary disease, and congestive heart failure.