Monocyte-to-lymphocyte ratio predicts mortality and cardiovascular mortality in the general population

Ye, Hua; Sun, Jin-Yu; Lou, Yu-Xuan; Sun, Wei; Kong, Xiangqing

doi:10.1016/j.ijcard.2023.03.016

Cited by 26 publications

(12 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The authors reported that the optimal cutoff value of SIRI to predict RVO was > 0.72, with an AUC value of 0.634, 95% confidence interval (0.536–0.732), sensitivity 56.25%, and specificity 73.44%. [ 13 ] In the current study, SIRI was significant at a fair level (AUC 0.774) in predicting RVO and has the highest sensitivity and lowest specificity among inflammatory indicators. According to the ROC analysis, SIRI is superior to SII, PLR, and MLR but not NLR in predicting RVO development.…”

Section: Discussionmentioning

confidence: 61%

“…[ 11 ] MLR correlates more with the severity of coronary lesions and cardiovascular events than NLR and is a stronger predictor of cardiovascular mortality. [ 13 ] Elevated levels of MLR are found to be an independent predictor of treatment response in naive macular edema secondary to RVO treated with intravitreal anti-VEGF agents and associated with favorable treatment response. [ 22 ] In the current study, in predicting RVO, MLR was significant at the fair level (AUC = 0.724).…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In many pathologies based on inflammation, inflammatory indicators obtained from peripheral blood are now used as prognostic markers and progression predictors of many diseases, including RVO. [7][8][9][10][11][12][13][14][15] This is the first study to evaluate systemic inflammation response index (SIRI) and monocyte-to-lymphocyte ratio (MLR) in elderly patients with RVO. The present study aims to determine the potential associations and the predictive value of inflammatory indicators such as the SIRI, neutrophil-tolymphocyte ratio (NLR), MLR, platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and other hematologic parameter characteristics in patients with RVO.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Assessment of systemic inflammatory response index and other inflammatory indicators in retinal vein occlusion

Üçer,

Cevher

2023

Medicine

View full text Add to dashboard Cite

Retinal vein occlusion (RVO) is the second most common retinal vascular disease after diabetic retinopathy. The study aimed to evaluate the association and the predictive value of inflammatory indicators in RVO. Sixty patients with RVO and 60 healthy individuals were enrolled in this retrospective study. Inflammatory indicators and other hematological parameters obtained from the peripheral venous sample were analyzed and compared among groups. White blood cell count (P = .003), neutrophil (P < .001), neutrophil-to-lymphocyte ratio (NLR) (P < .001), monocyte-to-lymphocyte ratio (MLR) (P < .001), platelet-to-lymphocyte ratio (PLR) (P = .014), systemic immune-inflammation index (SII) (P < .001), and systemic inflammatory response index (SIRI) (P < .001) were significantly higher; the lymphocyte count (P < .001) was significantly lower in patients with RVO. According to receiver operating characteristic analysis, NLR was significant at the good level (area under the curve [AUC] = 0.817, P < .001); SIRI, SII, and MLR were significant at the fair level (AUC = 0.774, P < .001; AUC = 0.733, P < .001, and AUC = 0.724, P < .001, respectively) and PLR (AUC = 0.630, P = .014) was significant at the weak level in terms of RVO prediction. SIRI was superior to other indicators, except NLR, to predict RVO. SIRI, NLR, SII, MLR, and PLR can be used as predictors for identifying the risk of RVO.

show abstract

Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of systemic inflammatory response index and other inflammatory indicators in retinal vein occlusion

Üçer,

Cevher

2023

Medicine

View full text Add to dashboard Cite

show abstract

“…Studi lain oleh Chen, dkk (2019) yang menilai hubungan antara MLR dengan tingkat keparahan dan morfologi plak arteri koroner dengan menggunakan angiografi koroner menemukan MLR dapat mencerminkan tingkat keparahan lesi koroner pada pasien NSTEMI dibandingkan dengan rasio neutrofil terhadap limfosit (NLR) (Chen et al, 2019). Selain itu, peningkatan MLR berhubungan secara positif terhadap tingkat mortalitas secara keseluruhan dan mortalitas akibat penyakit kardiovaskular pada populasi umum (Hua et al, 2023;Quan et al, 2020).…”

Section: Gambar 1 Bagan Alur Penilaian Kelayakanunclassified

Peranan Rasio Monosit Terhadap Limfosit (Mlr) Sebagai Prediktor Kejadian Nstemi

Nathaniel,

Firmansyah,

Hendsun

et al. 2022

JMMPK

View full text Add to dashboard Cite

Infark miokard akut (IMA) merupakan salah satu penyakit jantung paling mematikan dan berkontribusi terhadap morbiditas dan mortalitas secara global. Berdasarkan laporan WHO tahun 2019, sekitar 17,9 juta orang meninggal dunia karena penyakit kardiovaskular, yang mencakup sekitar 32% dari total kematian di seluruh dunia. Peningkatan jumlah dan jenis monosit berhubungan erat dengan kejadian penyakit kardiovaskular. Rasio monosit terhadap limfosit (MLR) adalah hasil bagi antara jumlah monosit absolut dibagi dengan jumlah limfosit absolut, parameter tersebut telah terbukti menjadi parameter hematologis dan inflamasi. Penelitian ini bertujuan untuk menyelidiki akurasi diagnostik dari MLR pada kasus NSTEMI. Studi cross-sectional ini dilakukan di RSUD Depati Hamzah dari juni 2020 sampai juli 2020. Variabel penelitian meliputi usia, hemoglobin, trombosit, leukosit, limfosit, monosit, MLR, dan hasil EKG. Sebelum analisis statistik, dilakukan uji normalitas menggunakan tes Kolmogorov-Smirnov dan Shapiro Wilk serta tes Levene. Analisis statistik menggunakan Independent T-Test untuk data standar dan uji alternatif data yang tidak normal menggunakan tes Mann-Whitney. 30 rekam medis memenuhi kriteria inklusi. Setelah dilakukan analisis ROC, tiga variabel memiliki kemampuan prediktif yang cukup baik. Variabel tersebut antara lain usia (AUC: 0,738 / p-value: 0,029), leukosit (AUC: 0,775 / p-value: 0,012), dan MLR (AUC: 0,963 / p-value: 0,029). Kemampuan prediktif MLR sangat baik (AUC >0,8), tertinggi dari variabel lainnya. MLR dapat digunakan sebagai penilaian faktor risiko terhadap kejadian NSTEMI karena didapatkan perbedaan yang signifikan antara kelompok sehat dengan kelompok NSTEMI. Penggunaan marker ini bisa membantu dalam mendiagnosis pasien yang mengalami nyeri dada, terutama di pelayanan kesehatan yang terbatas.

show abstract

Prognosis impact of multiple novel lymphocyte‐based inflammatory indices in patients with initially diagnosed coronary artery disease

Gao,

Bai,

et al. 2024

Immunity Inflam & Disease

View full text Add to dashboard Cite

BackgroundThis study aimed to evaluate six novel lymphocyte‐based inflammatory markers (neutrophil‐lymphocyte ratio, monocyte‐lymphocyte ratio, platelet‐lymphocyte ratio [PLR], systemic immune inflammation index [SII], systemic inflammatory response index, and systemic immune inflammation response index [SIIRI]) in patients with newly diagnosed coronary artery disease [CAD].MethodsA total of 959 patients newly diagnosed with CAD and underwent diagnostic coronary angiography were enrolled in this study and followed for major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. The best cutoff value was used to compare the six indicators. Cox risk regression analysis evaluated the relationship between novel lymphocyte‐based inflammatory markers and MACEs in newly diagnosed CAD patients.ResultsDuring a mean follow‐up period of 33.3 ± 9.9 months, 229 (23.9%) MACEs were identified. Multivariate Cox regression analysis showed that only SIIRI (hazard ratio [HR]: 5.853; 95% confidence interval [CI]: 4.092–8.371; p < .001) and PLR (HR: 1.725; 95% CI: 1.214–2.452; p = .002) were independent predictors of MACEs. Nevertheless, following the adjustment for covariates, only the SIIRI was found to be a significant predictor MACEs and its corresponding specific endpoint occurrences. The predictive ability of the model was improved when six different inflammatory markers were added to the basic model established by traditional risk factors, namely, the C‐index increased, and the SIIRI increased most significantly (AUC: 0.778; 95% CI: 0.743–0.812; p < .001). However, among the six novel inflammatory markers, only SIIRI had improved net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI: 0.187; 95% CI: 0.115–0.259, p < .001. IDI: 0.135; 95% CI: 0.111–0.159, p < .001), which was superior to the basic model established by traditional risk factors.ConclusionsSIIRI is independent predictor of MACEs in newly diagnosed CAD patients. SIIRI was superior to other measures in predicting MACEs. The combination of SIIRI and traditional risk factors can more accurately predict MACEs.

show abstract

Monocyte-to-lymphocyte ratio predicts mortality and cardiovascular mortality in the general population

Cited by 26 publications

References 54 publications

Assessment of systemic inflammatory response index and other inflammatory indicators in retinal vein occlusion

Assessment of systemic inflammatory response index and other inflammatory indicators in retinal vein occlusion

Peranan Rasio Monosit Terhadap Limfosit (Mlr) Sebagai Prediktor Kejadian Nstemi

Prognosis impact of multiple novel lymphocyte‐based inflammatory indices in patients with initially diagnosed coronary artery disease

Contact Info

Product

Resources

About