Diabetes mellitus (DM) is a systemic and chronic metabolic disorder leading to chronic hyperglycemia that is characterized by disturbances by carbohydrate, protein and fat metabolism due to partial or complete lack of insulin and/or insulin resistance. Chronic hyperglycemia may not only lead to acute metabolic complications, but also long-term injury and dysfunction in several organs and systems of the body, particularly the eyes, kidneys, heart, and blood vessels.1Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and platelet indices are inexpensive, practical, and easily accessible parameters readily estimated from complete blood count that have been found to be related with a number of medical conditions and pathologies.2-4 Studies reported correlations between these ratios and indices and metabolic/endocrinologic disorders.5,6 Inflammatory processes play a key role in chronic diseases in many chronic conditions including cardiovascular disease, cancer, chronic kidney disease, and diabetes mellitus.7 Previous studies showed that the neutrophil/lymphocyte ratio (NLR) represents a systemic marker of inflammation, with a significant role in predicting the short- and long-term mortality for cardiovascular conditions and in predicting the prognosis in cancer patients.8,9This study was undertaken to assess the utility of these simple, widely available, and inexpensive CBC parameters as markers of microvascular complications of diabetes and as predictors of potential complications.
METHODS
The study protocol was approved by the Ethics Committee approval of the Scientific Research Coordination Unit on 22.11.2018, with the reference number 08 at Fırat University. Data were retrospectively collected for patients attending to the outpatient unit of General Internal Medicine, Medical Faculty of Fırat University between May 2018 and October 2018. In addition to 100 study subjects with diabetes, 100 healthy individuals served as controls. Patients were included if they had no diagnosed conditions other than diabetes, were between 30-75 years of age, and were receiving oral anti-diabetics. Exclusion criteria were the presence of concomitant conditions (e.g. coronary artery disease, hematological conditions, malignancy, severe hepatic disorder, severe renal disorder), insulin use, and current smoking. A retrospective patient file search was performed to retrieve information on hemoglobin, mean platelet volume (MPV), glycosylated hemoglobin (HbA1c), hematocrit (Hct), neutrophil and lymphocyte count, neutrophil/lymphocyte ratio (NLR), platelets (Plt), platelet/lymphocyte ratio (PLR), and microvascular complications (neuropathy, retinopathy, nephropathy). Diabetic patients with a + proteinuria and/or a creatinine level > 1.2 mg/dl were deemed to have diabetic nephropathy, and those diagnosed with diabetic retinopathy at the Department of Ophthalmology were deemed to have diabetic retinopathy. Patients with findings of polyneuropathy or neuropathy in EMG were considered to have diabetic neuropathy. The subset of patients with microvascular complicationts consisted of those with nephropathy, retinopathy, and/or neuropathy. Demographic data for the healthy controls and patients (i.e. age, gender, waist and hip circumference, body mass index) were collected from patient files.
Statistical Analyses
All statistical analyses were performed using Statistical Package for the Social Sciences (SPSS) 22.0 software pack. For data assessment, in addition to descriptive statistics [Mean (X̄), Standard deviation (SD)], Student’s t test was used for the comparison of quantitative data with normal distribution, while one-way ANOVA was used for the comparisons between the groups. The significance of the difference between two statistically matched samples was tested with Wilcoxon’s paired two sample test, while the chi-square test was used for the comparison of quantitative data. The results were expressed with 95% confidence intervals, and a p value of less than 0.05 was considered significant.
RESULTS
The comparison between diabetics and healthy controls with respect to demographic and laboratory parameters is shown in Table-I. The mean age in the diabetic group and healthy controls was 54.34 and 36.68 years, respectively. The mean NLR in diabetics and healthy controls was 2.48 and 2.11, the difference in NLR being significant (p=0.002). MPV in diabetics and controls was 8.54 and 8.53, respectively, and the difference was not significant (p=0.93). PLR was also similar, i.e. 149.7 and 145.3 in diabetics and healthy controls (p=0.067).
Table I
Demographic and laboratory data in diabetic patients and healthy controls.
Groups
N
Mean
Standard Deviation
p value
Gender (M/F)
healthy
46/54
diabetic
48/52
Age (year)
healthy
100
36.68
10.756
<0.001
diabetic
100
56.34
12.554
HbA1c (%)
healthy
100
5.718
0.2938
<0.001
diabetic
100
9.624
2.2356
Hematocrit (%)
healthy
100
41.676
5.6697
0.736
diabetic
100
41.376
6.8421
Platelet (x109/L)
healthy
100
261620
55441.985
0.052
diabetic
100
279390
71906.771
Neutrophil (x109/L)
healthy
100
4081.00
1455.345
0.012
diabetic
100
4684.80
1888.585
Lymphocyte (x109/L)
healthy
100
1972.40
452.028
0.044
diabetic
100
2201.70
1034.883
MPV (fl)
healthy
100
8.530
0.9422
0.930
diabetic
100
8.541
0.8186
NLR (%)
healthy
100
2.1176
0.81013
0.022
diabetic
100
2.4823
1.35413
PLR (%)
healthy
100
145.392
58.5490
0.677
diabetic
100
149.724
85.8579
NLR: Neutrophil/lymphocyte ratio; PLR: Platelet/lymphocyte ratio; MPV: Mean platelet volume.
Demographic and laboratory data in diabetic patients and healthy controls.NLR: Neutrophil/lymphocyte ratio; PLR: Platelet/lymphocyte ratio; MPV: Mean platelet volume.With respect to microvascular complications, retinopathy was found to be significantly associated with MPV and NLR (p=0.015, and p=0.051), and nephropathy showed a significant association with NLR (p=0.027) among diabetics. In contrast with the two other microvascular complications, no significant association between neuropathy and NLR could be detected, while PLR and neuropathy was significantly associated (p=0.003) (Table-II).
Table II
The association of diabetic microvascular complications with MPV, NLR, and PLR.
Retinopathy
N
Mean
Standard Deviation
P value
MPV (fl)
Present
28
8,22
0,8562
0,015
Absent
72
8.66
0.7752
NLR (%)
Present
28
2.90
1.5572
0.051
Absent
72
2.31
1.2397
PLR (%)
Present
28
146.8
64.254
0.834
Absent
72
150.8
93.295
Nephropathy
MPV (fl)
Present
22
8.30
0.791
0.118
Absent
78
8.60
0.818
NLR (%)
Present
22
3.04
1.477
0.027
Absent
78
2.32
1.280
PLR (%)
Present
22
149.3
55.390
0.982
Absent
78
149.8
75.374
Neuropathy
MPV (fl)
Present
74
8.47
0.784
0.198
Absent
26
8.71
0.902
NLR (%)
Present
74
2.39
1.293
0.280
Absent
26
2.73
1.019
PLR (%)
Present
74
134.7
56.90
0.003
Absent
26
192.4
131.05
NLR: Neutrophil/lymphocyte ratio; PLR: Platelet/lymphocyte ratio; MPV: Mean platelet volume.
The association of diabetic microvascular complications with MPV, NLR, and PLR.NLR: Neutrophil/lymphocyte ratio; PLR: Platelet/lymphocyte ratio; MPV: Mean platelet volume.
DISCUSSION
Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and the platelet index represent inexpensive, practical, and widely available laboratory parameters that can be readily estimated from routine complete blood counts. The association between these parameters and many medical conditions and pathologies has been clearly established.2-4 Also, these indices and ratios have been reported to be associated with several metabolic and endocrinologic disorders.5,6In our study, there was a significant difference in terms of NLR between diabetics and healthy controls (p=0.002).In many epidemiological studies, chronic inflammation has been reported to play a significant role in the pathogenesis of chronic diseases such as metabolic syndrome, hypertension, and diabetes.10,11 Cross-sectional and prospective studies also have indicated a positive correlation between Type 2 diabetes and its complications and C-reaktif protein(CRP), Interleukin-6(IL-6), and leukocyte counts.12One study examining the association between gestational diabetes and mean platelet volume (MPV) showed significantly higher MPV values women with gestational diabetes as compared to those without this condition. Furthermore, MPV was reported to be correlated with the insulin resistance index, i.e. (Homeostatic Model Assessment for Insulin Resistance) HOMA-IR.13 While significant correlations between neuropathy and MPV were observed in some studies, in the study by Hekimsoy et al. involving 145 diabetic and 100 non-diabetic individuals, no statistically significant differences were foun.14,15 Similarly, we failed to detect differences in MPV between diabetics and healthy controls in our study. On the other hand, increased NLR values were found to represent a weak prognostic indicator in patients undergoing cardiovascular interventions. In some studies, elevated NLR was also found to be linked with increased mortality.14,15 For instance, a study examining the effect of cigarette smoking, several indices including NLR, PLR and the platelet index were higher among smokers, and NLR and platelet values were reported to be associated with the intensity of smoking.15 Therefore, such factors should be taken into consideration when assessing NLR, PLR, and other similar indices.In the current study, a similar connection between NLR and the microvascular complications of diabetes such as retinopathy and nephropathy was observed, while no such correlations could be identified for neuropathy. Again, MPV and NLR were significantly associated with retinopathy and NLR with nephropathy. In contrast with the two other microvascular complications, neuropathy did not significantly correlate with NLR, while PLR and nephropathy were significantly associated. The similarities and disagreements between our results and previous publications may be partially explained by the limitations of our study. Also, absence of a homogeneous distribution of the patients with regard to age, gender, oral antidiabetic use, and body mass index in this cross-sectional study represents one such limitation.
Limitations of the study
Our study should be evaluated in the light of several limitations. The presented study was conducted on a retrospective basis and represented single-center experience.
CONCLUSION
In conclusion, based on the comparisons between diabetic patients and healthy controls and within the group of diabetic individuals, our results seem to suggest that microvascular complications may be linked with certain hematological parameters in type 2 DM patients. Hematocrit, MPV, NLR, and PLR values have been found to be cost-effective parameters that predict diabetic microvascular complications and that can be readily estimated using a simple laboratory test such as the complete blood count. Further studies with larger sample size are warranted to better elucidate the agreement and inconsistency between our results and previous publications, and to reach firmer conclusions regarding the value of these indices.
Authors Contribution:
EO: Conceived, designed, did statistical analysis and manuscript writing.EO & NG: Did data collection and manuscript review.ED: Did manuscript review and final approval.
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