Table 2 Multivariate COX regression analysis of the association between NPAR, NLR, and SII and mortality.

From: Predictive role of neutrophil percentage-to-albumin ratio, neutrophil-to-lymphocyte ratio, and systemic immune-inflammation index for mortality in patients with MASLD

Variables

Crude model (Model 1)

Partially adjusted model (Model 2)

Fully adjusted model (Model 3)

HR (95CI%)

P

HR (95CI%)

P

HR (95CI%)

P

All-cause mortality

NPAR

1.19 (1.13,1.24)

< 0.001

1.16 (1.10,1.22)

< 0.001

1.13 (1.08,1.19)

< 0.001

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

1.02 (0.71,1.45)

0.934

1.10 (0.78,1.55)

0.581

1.13 (0.79,1.60)

0.505

Q3

1.43 (1.05,1.95)

0.024

1.19 (0.86,1.65)

0.286

1.11 (0.78,1.57)

0.558

Q4

2.33 (1.69,3.21)*

< 0.001

2.04 (1.45,2.89)*

< 0.001

1.87 (1.30,2.69)*

< 0.001

NLR

1.23 (1.15,1.31)

< 0.001

1.14 (1.07,1.21)

< 0.001

1.13 (1.07,1.19)

< 0.001

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

1.07 (0.74,1.54)

0.722

0.98 (0.69,1.40)

0.916

0.97 (0.66,1.42)

0.870

Q3

1.08 (0.72,1.61)

0.717

0.92 (0.64,1.33)

0.663

0.87 (0.59,1.28)

0.490

Q4

2.54 (1.86,3.46)**

< 0.001

1.68 (1.19,2.36)**

0.003

1.56 (1.09,2.25)**

0.017

lnSII

1.35 (1.02,1.78)

0.035

1.41 (1.08,1.85)

0.012

1.29 (1.01,1.66)

0.044

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

0.62 (0.45,0.84)

0.002

0.79 (0.57,1.08)

0.138

0.79 (0.57,1.09)

0.155

Q3

0.80 (0.60,1.07)

0.141

0.94 (0.68,1.30)

0.706

0.93 (0.67,1.28)

0.639

Q4

1.14 (0.85,1.52)*

0.393

1.38 (0.99,1.92)*

0.051

1.23 (0.88,1.72)*

0.221

CVD mortality

NPAR

1.28 (1.19,1.39)

< 0.001

1.26 (1.16,1.38)

< 0.001

1.23 (1.13,1.34)

< 0.001

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

1.03 (0.54,1.95)

0.930

1.16 (0.61,2.19)

0.651

1.16 (0.59,2.28)

0.658

Q3

1.52 (0.89,2.62)

0.126

1.31 (0.74,2.34)

0.352

1.22 (0.62,2.41)

0.561

Q4

3.27 (1.90,5.63)*

< 0.001

2.93 (1.66,5.15)*

< 0.001

2.63 (1.40,4.96)*

0.003

NLR

1.25 (1.16,1.36)

< 0.001

1.18 (1.08,1.28)

< 0.001

1.19 (1.09,1.29)

< 0.001

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

1.59 (0.78,3.24)

0.205

1.51 (0.76,3.00)

0.242

1.45 (0.69,3.03)

0.326

Q3

1.54 (0.75,3.17)

0.244

1.39 (0.68,2.83)

0.371

1.24 (0.55,2.78)

0.610

Q4

4.74 (2.70,8.31)**

< 0.001

3.31 (1.82,6.03)**

< 0.001

3.00 (1.56,5.80)**

0.001

lnSII

2.14 (1.39,3.29)

< 0.001

2.21 (1.47,3.32)

< 0.001

1.93 (1.27,2.92)

0.002

Q1

1

Ā 

1

Ā 

1

Ā 

Q2

0.76 (0.45,1.28)

0.302

1.02 (0.63,1.66)

0.932

0.94 (0.58,1.55)

0.816

Q3

1.08 (0.73,1.61)

0.698

1.31 (0.82,2.07)

0.258

1.22 (0.77,1.93)

0.392

Q4

1.81 (1.24,2.64)*

0.002

2.37 (1.56,3.61)*

< 0.001

2.02 (1.31,3.10)*

0.001

  1. Model 1 adjust for none.
  2. Model 2 adjust for age, sex, race, education level, and PIR.
  3. Model 3 adjust for age, sex, race, education level, PIR, smoking status, physical activity, BMI, WC, DM, Hypertension, CVD, CKD, COPD, TG, TC, HDL-C, LDL-C, AST, ALT, and GGT.
  4. *P for trend > 0.05 **P for trend < 0.05.