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. 2022 May 2;5(3):e630. doi: 10.1002/hsr2.630

Table 2.

Prognostic estimates effect of NLR and conclusion of each study

Author CURB‐65 (2–5) End point Cutoff of NLR Sensitivity Specificity Prognostic effect estimates (HR, OR) AUC Variables Conclusion
de Jager et al. 13 123 Adverse event (mortality/adverse events) 10 74 (95% CI: 59.66–85.37) 53.33 (95% CI: 47.91–58.69) N/A N/A Age, gender, comorbidities, medications, pathogens, CRP level NLR better‐predicted mortality compared to CRP levels, WBC count, neutrophil count, and lymphocyte count
In‐hospital mortality 10 78.26 (95% CI: 56.3–92.54) 51.61 (95% CI: 46.4–56.8) N/A 0.701
Avci and Perincek 14 N/A 30‐day mortality N/A N/A N/A N/A 0.577 (95%CI 0.501‐0.650) Age, smoking, comorbidities, complication, clinical parameters NLR showed low 30‐day mortality estimation accuracy than PSI class, PSI scores and procalcitonin
Cataudella et al. 15 175 30‐day mortality 11.2 100 (95% CI: 92.45–100) 77.7 (95% CI: 70.14–84.13) N/A 0.94 Age, sex, CURB‐65, PSI, comorbidities NLR predicted mortality better than PSI, CURB‐65, CRP, and WBC count
13.4 91.49 (95% CI: 76.84–89.33) 83.78 (95% CI: 76.84–89.33) N/A
Curbelo et al. 16 128 30‐day mortality 10 63.6 (95% CI: 35.4–84.3) 65 (95% CI: 56.8–72.4) OR = 1.04 (1.0–1.1) 0.88 (95% CI: 0.79–0.98) Age, sex, vaccination, comorbidities, PSI, CURB‐65, CRP, procalcitonin, proadrenomedullin NLR was not inferior to proadrenomedullin and significantly better than other biomarkers
Masbang et al. 17 N/A Predicting HR from LR and MR 10.24 56.4 66.8 N/A 0.726 Age, gender, comorbidity, smoking, symptoms, vital signs, radiologic finding NLR predicts CAP severity more than WBC count. NLR can better predict HR from LR and MR
Ozmen et al. 18 N/A 30‐day mortality N/A N/A N/A HR = 1.04 (0.99–1.01) 0.64 (0.49–0.79) Age, gender, comorbidity, smoking, biochemistry, ventilation, ABG finding Higher NT‐pro BNP values (above 2000 pg/ml) and NLR can be used to predict pneumonia severity and higher NLR on admission to ICU has a higher risk of 180‐day mortality
Mortality 180 days after ICU admission N/A N/A N/A HR = 1.04 (1.01–1.07) 0.63 (0.52–0.74)
ICU mortality N/A N/A N/A N/A 0.60(0.46–0.75)
Postma et al. 12 N/A 30‐day mortality Median = 10.4 N/A N/A OR = 1.19 (95% CI: 1.02–1.38) N/A Age, sex, comorbidities, clinical parameters, mortality scores NLR had a moderate bivariate association with mortality, but was not statistically significant when added to the model with either PSI or CURB‐65
90‐day mortality N/A N/A N/A OR = 1.18 (95% CI: 1.05–1.32) N/A
Yang et al. 19 67 In‐hospital mortality (in patient) Median in patient who died (11.96; IQR: 7.26–30.68) 82.61 72.2 N/A 0.799 Age, sex, PCT, CRP, comorbidities, PSI, CURB‐65 NLR is a simple promising marker for predicting in‐hospital mortality
In‐hospital mortality (ICU) Median in patient who did not die (4.19; IQR : 2.39–7.52) N/A N/A N/A N/A
Cutoff = 7.12
Kaya 20 N/A In‐patient mortality N/A N/A N/A N/A N/A Age, sex, comorbidities, PSI, CURB, laboratory values NLR can be used in estimating mortality, but is not superior to the commonly used scoring system (PSI, CURB‐65)
ICU Mortality Dead NLR = 13.5 ± 9 N/A N/A N/A 0.743 (95% CI: 0.627–0.860)
Survived NLR = 7.9 ± 6.8 N/A N/A N/A

Abbreviations: AUC, area under the ROC curve; CI, confidence interval; CRP, C‐reactive protein; CURB‐65, Confusion, Respiratory rate, Blood pressure, 65 years of age and older; HR, high risk; HR, hazard ratio; ICU, intensive care unit; IQR, interquartile range; LR, low risk; MR, medium risk; N/A, not available; NLR, neutrophil–lymphocyte ratio; NT‐proBNP, N‐terminal (NT)‐prohormone B‐type natriuretic peptide; OR, odds ratio; PCT, procalcitonin; PSI, Pneumonia Severity Index; WBC, white blood cell.