Literature DB >> 31777484

Can hematological parameters in type 2 diabetes predict microvascular complication development?

Erhan Onalan1, Nevzat Gozel2, Emir Donder3.   

Abstract

OBJECTIVE: To examine potential associations between neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, mean platelet volume (MPV), HbA1c and microvascular complications in diabetic patients from a cost-effectiveness perspective.
METHODS: One hundred patients with type 2 diabetes attending our outpatient unit between May 2018 and October 2018 were included, and 100 healthy individuals served as the control group. A retrospective file search was performed to collect information on hemoglobin, mean platelet volume (MPV), glycosylated haemoglobin (HbA1c), hematocrit (Hct), neutrophil and lymphocyte count, neutrophil/lymphocyte ratio (NLR), platelets (Plt), platelet/lymphocyte ratio (PLR), and microvascular complications (neuropathy, retinopathy, nephropathy).
RESULTS: Demographic and laboratory data were retrospectively controlled between diabetes (n=100) and healthy control (n=100) groups. The mean age in diabetic patients and healthy controls was 56.34 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). 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).
CONCLUSION: Microvascular complications may be associated with certain hematologic parameters, as suggested by comparisons both between diabetics and healthy individuals and within the group of diabetic individuals. We believe that hematologic parameters such as hematocrit, MPV, NLR, and PLR, which can be obtained through a simple complete blood count, may be utilized as cost-effective predictors of diabetic microvascular complications. Further prospective studies with larger sample size are required to better delineate these associations. Copyright: © Pakistan Journal of Medical Sciences.

Entities:  

Keywords:  Diabetes mellitus; Haemoglobin A1c; Neutrophil/lymphocyte ratio; Platelet/lymphocyte ratio

Year:  2019        PMID: 31777484      PMCID: PMC6861500          DOI: 10.12669/pjms.35.6.1150

Source DB:  PubMed          Journal:  Pak J Med Sci        ISSN: 1681-715X            Impact factor:   1.088


INTRODUCTION

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.1 Neutrophil/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.8,9 This 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.

GroupsNMeanStandard Deviationp value
Gender (M/F)healthy46/54
diabetic48/52
Age (year)healthy10036.6810.756<0.001
diabetic10056.3412.554
HbA1c (%)healthy1005.7180.2938<0.001
diabetic1009.6242.2356
Hematocrit (%)healthy10041.6765.66970.736
diabetic10041.3766.8421
Platelet (x109/L)healthy10026162055441.9850.052
diabetic10027939071906.771
Neutrophil (x109/L)healthy1004081.001455.3450.012
diabetic1004684.801888.585
Lymphocyte (x109/L)healthy1001972.40452.0280.044
diabetic1002201.701034.883
MPV (fl)healthy1008.5300.94220.930
diabetic1008.5410.8186
NLR (%)healthy1002.11760.810130.022
diabetic1002.48231.35413
PLR (%)healthy100145.39258.54900.677
diabetic100149.72485.8579

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.

RetinopathyNMeanStandard DeviationP value
MPV (fl)Present288,220,85620,015
Absent728.660.7752
NLR (%)Present282.901.55720.051
Absent722.311.2397
PLR (%)Present28146.864.2540.834
Absent72150.893.295

Nephropathy

MPV (fl)Present228.300.7910.118
Absent788.600.818
NLR (%)Present223.041.4770.027
Absent782.321.280
PLR (%)Present22149.355.3900.982
Absent78149.875.374

Neuropathy

MPV (fl)Present748.470.7840.198
Absent268.710.902
NLR (%)Present742.391.2930.280
Absent262.731.019
PLR (%)Present74134.756.900.003
Absent26192.4131.05

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.5,6 In 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.12 One 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.
  15 in total

Review 1.  Chronic inflammation links cardiovascular, metabolic and renal diseases.

Authors:  Ichiro Manabe
Journal:  Circ J       Date:  2011-11-08       Impact factor: 2.993

2.  Diagnosis and classification of diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2007-01       Impact factor: 19.112

3.  Usefulness of an elevated neutrophil to lymphocyte ratio in predicting long-term mortality after percutaneous coronary intervention.

Authors:  Brendan K Duffy; Hitinder S Gurm; Vivek Rajagopal; Ritesh Gupta; Stephen G Ellis; Deepak L Bhatt
Journal:  Am J Cardiol       Date:  2006-02-13       Impact factor: 2.778

4.  Association of hematological indicies with diabetes, impaired glucose regulation and microvascular complications of diabetes.

Authors:  Levent Demirtas; Husnu Degirmenci; Emin Murat Akbas; Adalet Ozcicek; Aysu Timuroglu; Ali Gurel; Fatih Ozcicek
Journal:  Int J Clin Exp Med       Date:  2015-07-15

5.  Genetic variation, C-reactive protein levels, and incidence of diabetes.

Authors:  Abbas Dehghan; Isabella Kardys; Moniek P M de Maat; Andre G Uitterlinden; Eric J G Sijbrands; Aart H Bootsma; Theo Stijnen; Albert Hofman; Miranda T Schram; Jacqueline C M Witteman
Journal:  Diabetes       Date:  2007-03       Impact factor: 9.461

6.  Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity.

Authors:  H Yilmaz; B Ucan; M Sayki; I Unsal; M Sahin; M Ozbek; T Delibasi
Journal:  Diabetes Metab Syndr       Date:  2014-05-19

7.  Usefulness of neutrophil to lymphocyte ratio in predicting short- and long-term mortality after non-ST-elevation myocardial infarction.

Authors:  Basem Azab; Medhat Zaher; Kera F Weiserbs; Estelle Torbey; Kenson Lacossiere; Sainath Gaddam; Romel Gobunsuy; Sunil Jadonath; Duccio Baldari; Donald McCord; James Lafferty
Journal:  Am J Cardiol       Date:  2010-08-15       Impact factor: 2.778

8.  The effect of smoking on neutrophil/lymphocyte and platelet/lymphocyte ratio and platelet ındices: a retrospective study.

Authors:  Y K Tulgar; S Cakar; S Tulgar; O Dalkilic; B Cakiroglu; B S Uyanik
Journal:  Eur Rev Med Pharmacol Sci       Date:  2016-07       Impact factor: 3.507

9.  Association between admission neutrophil to lymphocyte ratio and outcomes in patients with acute coronary syndrome.

Authors:  Umesh U Tamhane; Sanjay Aneja; Daniel Montgomery; Eva-Kline Rogers; Kim A Eagle; Hitinder S Gurm
Journal:  Am J Cardiol       Date:  2008-06-26       Impact factor: 2.778

10.  Relationship Between Insulin Resistance and Mean Platelet Volume in Gestational Diabetes Mellitus.

Authors:  Suleyman Baldane; Suleyman Hilmi Ipekci; Aysegul Kebapcilar
Journal:  J Lab Physicians       Date:  2015 Jul-Dec
View more
  2 in total

1.  Dietary Intake of Polyphenols or Polyunsaturated Fatty Acids and Its Relationship with Metabolic and Inflammatory State in Patients with Type 2 Diabetes Mellitus.

Authors:  Marcin Kosmalski; Anna Pękala-Wojciechowska; Agnieszka Sut; Tadeusz Pietras; Bogusława Luzak
Journal:  Nutrients       Date:  2022-03-04       Impact factor: 5.717

2.  Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as novel risk markers for diabetic nephropathy in patients with type 2 diabetes.

Authors:  Marwa Jaaban; Almoutassem Billah Zetoune; Sondos Hesenow; Razan Hessenow
Journal:  Heliyon       Date:  2021-07-19
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.