Review Article

Neutrophil Lymphocyte Ratio and Cardiovascular Disease Risk: A Systematic Review and Meta-Analysis

Table 1

Characteristics of included studies.

AuthorYearSettingStudy DesignnPopulationMean AgeMaleMean BMIDMHTDLPSmokeMean NLR

Coronary artery disease

Sonmez [10]2013TurkeyCross-sectional175general59.259.029.840.653.743.4-2.29
Naz [11]2014IndiaCase control60general45100-0--02.98
Mayyas [12]2014JordanCross-sectional128general57.457.029.644.577.362.535.22.67
Sari [13]2015TurkeyCross-sectional180general59.163.3-24.4-19.441.13.03
Aygün [14]2015TurkeyCross-sectional292DM56.388.4-1006455.533.22.00
Acar [15]2015TurkeyCross-sectional238general54.855.027.418.562.268.237.42.11
Verdoia [16]2015ItalyCross-sectional1,372DM69.069.228.310080.960.322.9-
Gungoren [17]2015TurkeyCase control311general62.656.3-30.554.383.930.52.53
Yu [18]2016ChinaCohort942general64.958.724.436.268.313.237.62.92
Perl [19]2016IsraelCross-sectional522general66.073.0-367280433.21
Verdoia [20]2016ItalyCross-sectional3,728general67.669.3-36.871.255.426.6-
Uysal [21]2016TurkeyCross-sectional194general62.569.0-26.329.412.438.72.59
Yilmaz [22]2016TurkeyCase control80general59.552.5-14.422.5-17.52.51
Chittawar [23]2017IndiaCross-sectional265DM51.145.725.9100----
Guo [24]2017ChinaCross-sectional64general60.029.7-12.554.7-32.82.12
Sharma [25]2017IndiaCross-sectional324general-------1.31
Korkmaz [26]2018TurkeyCross-sectional113general57.078-----2.41

Acute coronary syndrome

Yu [18]2016ChinaCohort600general64.958.724.436.268.313.237.63.33
Zazula [27]2008BrazilCross-sectional178general60.059.0-287844174.32
Nordestgaard [28]2010DenmarkCase cohort699general68.463.427.010.132.814.328.9-
Caimi [29]2015ItalyCase control239general34.983.3-----2.10
Qiu [30]2016ChinaCase control72DM64.158.325.2100--45.85.39
Nalbant [31]2016TurkeyCross-sectional284general70.363.7-----5.42
Göktaş [32]2018TurkeyCross-sectional100general57.850.0------

Stroke

Saliba [33]2015IsraelCohort32,912AF73.248.4-32.874.759.2--
Ertas [34]2013TurkeyCase control126AF70.059.0-18.37334.16.33.87
Celikbi-lek [35]2014TurkeyCase control140general64.937.9-----2.42
Akil [36]2014TurkeyCase control85general52.358.825.0-5.9-23.52.38
Wang [37]2015ChinaCase control100general57.453.0-----1.74
Köklü [38]2016TurkeyCross-sectional254general69.570.526.042.576.868.531.52.62
Suh [39]2017South KoreaCohort24,708general51.849.9-17.922.126.918.3-
Long [40]2018ChinaCohort210Gastric cancer67.172.9----- -4.24
Abete [41]2018SpainCase control102general60.164.730.618.657.839.254.9 -2.15
Farah [42]2018IsraelCase control230general68.459.0----- -3.24

Composite outcomes

Tsai [43]2007TaiwanCross-sectional1,872DM60.144.425.5100--20.5 --
Azab [44]2013USCohort338DM58.136.1-10077.277.229 --
Solak [45]2013TurkeyCohort225CKD50.447.625.822.214.2-44 -3.31
Abe [46]2015JapanCohort86ESRD58.067.422.048.862.830.218.6 --
Quiros-Roldan [47]2016ItalyCohort3,454HIV38.171.3-7.47.934.765.6 -1.80

AF, atrial fibrillation; BMI, body mass index; CKD, chronic kidney disease; DLP, dyslipidemia; DM, diabetes mellitus; ESRD, end stage renal disease; HIV, human immunodeficiency virus; HT, hypertension; NLR, neutrophil lymphocyte ratio.