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. 2020 May 26;10:8718. doi: 10.1038/s41598-020-65764-w

Table 3.

Results from multivariable logistic regression model of factors associated with major adverse kidney events at 1 month (MAKE30) and 1 year (MAKE365).

Multivariate model for MAKE30 Multivariate model for MAKE365
Coef. aOR (95%CI) P Coef. aOR (95%CI) P
Intercept −4.04 −3.77
Loge uNGAL concentration 0.38 1.47 (1.32–1.63) <0.001 0.34 1.41 (1.26–1.57) <0.001
Age, per 10 year increase 0.14 1.15 (1.06–1.26) 0.001
Male versus female 0.27 1.31 (0.97–1.77) 0.08
ICU vs other wards 0.63 1.88 (1.33–2.67) <0.001 0.30 1.35 (0.93–1.97) 0.113
AKI stage 3 vs 2/1 0.86 2.35 (1.73–3.21) <0.001 0.52 1.69 (1.21–2.34) 0.002
Sepsis 0.39 1.47 (1.04–2.08) 0.03 0.36 1.43 (1.03–1.98) 0.03
Ischaemic cause 0.32 1.37 (0.98–1.92) 0.06
Malignancy 0.61 1.85 (1.18–2.9) 0.007 0.75 2.13 (1.3–3.48) 0.003
Ischemic heart disease 1.90 6.69 (2.41–8.56) <0.001
Persistent AKI 0.48 1.61 (1.06–2.43) 0.02 0.82 2.28 (1.55–3.35) <0.001
Chronic liver disease 0.39 1.48 (0.98–2.23) 0.06 0.76 2.14 (1.38–3.34) 0.001

How to calculate the probability of the patient experiencing a major adverse kidney event within 1 month (MAKE30).

For example, a female with uNGAL concentration of 2000, from ICU, with stage 2 AKI, septic, non-ischaemic cause, a malignancy, chronic liver disease and persistent AKI: MAKE30 Score = −4.04 + (loge2000*0.38) + 0.63 + 0.39 + 0.61 + 0.48 + 0.39) = 1.348.

The exponential of 1.348 is 3.849, so the probability this person will develop MAKE30 is 3.849/(1+3.849) = 0.79 (79%).