Table 3.

The association between PLR and in-hospital mortality.

	OR (95% CI)	P Value	P for trend		OR (95% CI)	P Value	P for trend
Model 1			< 0.001	Model 1			< 0.001
Quartile 1: PLR < 104.8	Reference			Quintile 1: PLR < 95.5	Reference
Quartile 2:104.8 ≤ PLR < 167.0	1.03 (0.80–1.35)	0.817		Quintile 2: 95.5 ≤ PLR < 139.0	0.86 (0.64–1.16)	0.320
Quartile 3:167.0 ≤ PLR < 271.0	1.51 (1.18–1.94)	0.001		Quintile 3:139.0 ≤ PLR < 198.9	1.11 (0.84–1.47)	0.466
Quartile 4: PLR ≥ 271.0	1.77 (1.39–2.25)	< 0.001		Quintile 4:198.9 ≤ PLR < 314.7	1.35 (1.02–1.77)	0.033
				Quintile 5: PLR ≥ 314.7	1.74 (1.34–2.27)	< 0.001
Model 2			< 0.001	Model 2			< 0.001
Quartile 1: PLR < 104.8	Reference			Quintile 1: PLR < 95.5	Reference
Quartile 2:104.8 ≤ PLR < 167.0	1.00 (0.76–1.31)	0.999		Quintile 2: 95.5 ≤ PLR < 139.0	0.85 (0.63–1.15)	0.285
Quartile 3:167.0 ≤ PLR < 271.0	1.43 (1.11–1.84)	0.005		Quintile 3:139.0 ≤ PLR < 198.9	1.06 (0.80–1.41)	0.677
Quartile 4: PLR ≥ 271.0	1.63 (1.28–2.09)	< 0.001		Quintile 4:198.9 ≤ PLR < 314.7	1.27 (0.97–1.68)	0.086
				Quintile 5: PLR ≥ 314.7	1.60 (1.23–2.09)	0.001
Model 3			< 0.001	Model 3			< 0.001
Quartile 1: PLR < 104.8	Reference			Quintile 1: PLR < 95.5	Reference
Quartile 2:104.8 ≤ PLR < 167.0	1.49 (1.07–2.07)	0.017		Quintile 2: 95.5 ≤ PLR < 139.0	1.26 (0.87–1.82)	0.214
Quartile 3:167.0 ≤ PLR < 271.0	1.99 (1.45–2.73)	< 0.001		Quintile 3:139.0 ≤ PLR < 198.9	1.70 (1.19–2.42)	0.003
Quartile 4: PLR ≥ 271.0	1.55 (1.08–2.21)	0.016		Quintile 4:198.9 ≤ PLR < 314.7	1.62 (1.15–2.30)	0.006
				Quintile 5: PLR ≥ 314.7	1.47 (1.00–2.17)	0.052

Models were derived from binary logistic regression analysis. P for trend was calculated using binary logistic analysis to determine whether there was a trend when PLR was included as a grouping variable in the model (Quartile 1–4 or Quintile1-5). When PLR was included as a grouping variable in the model, P values were calculated using binary logistic analysis to determine whether there was a relationship between PLR quartiles (quintiles) and in-hospital mortality with Quartile1 (Quintile 1) serving as the reference group. When PLR was included as a continuous variable in the model, P values were calculated using binary logistic analysis to determine whether there was a relationship between PLR and in-hospital mortality. Model 1: unadjusted. Model 2: adjusted for age, gender, ethnicity. Model 3: adjusted for age, gender, ethnicity, systolic blood pressure, diastolic blood pressure, mean blood pressure, heart rate, body mass index, respiration, coronary artery disease, acute coronary syndrome, congestive heart failure, NSTEMI, cardiac arrest, arrhythmias, atrial fibrillation, ventricular arrhythmias, atrioventricular block, respiratory failure, stroke, malignancy, cardiomyopathy, hypertension, diabetes, white blood cell, red blood cell, hematocrit, blood nitrogen urea, creatinine, sodium, potassium, oral anticoagulants, ACEI/ARB, beta-blockers, statin, transfusion, NLR, APS and APACHE IV.

PLR platelet-lymphocyte ratio, NLR neutrophil–lymphocyte ratio, OR odds ratio, CI confidence interval.