Title |
Relationship between neutrophil-lymphocyte ratio and insulin resistance in newly diagnosed type 2 diabetes mellitus patients
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Published in |
BMC Endocrine Disorders, March 2015
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DOI | 10.1186/s12902-015-0002-9 |
Pubmed ID | |
Authors |
Meiqin Lou, Peng Luo, Ru Tang, Yixian Peng, Siyuan Yu, Wanjing Huang, Lei He |
Abstract |
Insulin resistance (IR) plays a vital role in the pathogenesis of Type 2 Diabetes Mellitus (T2DM). The mechanism of IR may be associated with inflammation, whereas the neutrophil-lymphocyte ratio (NLR) is a new indicator of subclinical inflammation. Scholars have rarely investigated the relationship between IR and NLR. This study aims to evaluate the relationship between IR and NLR, and determine whether or not NLR is a reliable marker for IR. The sample consists of a total of 413 patients with T2DM, 310 of whom have a HOMA-IR value of > 2.0. The control group consists of 130 age and BMI matched healthy subjects. The NLR values of the diabetic patients were significantly higher than those of the healthy control (P < 0.001), and the NLR values of the patients with a HOMA-IR value of > 2.0 are notably greater than those of the patients with a HOMA-IR value of ≤ 2.0 (P < 0.001). Pearson correlation analysis showed a significant positive correlation of NLR with HOMA-IR (r = 0.285) (P < 0.001). Logistic regression analysis showed that the risk predictors of IR include NLR, TG and HbA1c. NLR (P < 0.001, EXP(B) = 7.231, 95% CI = 4.277-12.223) levels correlated positively with IR. The IR odds ratio increased by a factor of 7.231 (95% CI, 4.277-12.223) for every one unit increase in NLR. Increased NLR was significantly associated with IR, and high NLR values may be a reliable predictive marker of IR. |
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South Africa | 2 | 2% |
New Zealand | 2 | 2% |
Canada | 2 | 2% |
Indonesia | 1 | 1% |
Japan | 1 | 1% |
Thailand | 1 | 1% |
Other | 8 | 10% |
Unknown | 35 | 43% |
Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 12 | 15% |
Scientists | 7 | 9% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
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Unknown | 198 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 27 | 14% |
Student > Postgraduate | 24 | 12% |
Student > Master | 23 | 12% |
Student > Ph. D. Student | 15 | 8% |
Other | 14 | 7% |
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Unknown | 67 | 34% |
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Agricultural and Biological Sciences | 7 | 4% |
Immunology and Microbiology | 7 | 4% |
Other | 19 | 10% |
Unknown | 74 | 37% |