Platelet indices and glucose control in type 1 and type 2 diabetes mellitus: A case-control study

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Highlights

  • Platelet indices have been investigated mainly in type 2 diabetes (T2DM).

  • Most of these studies have not accounted for potential confounders.

  • We have found higher platelet mass in T2DM vs T1DM and healthy controls, accounting for age, sex, and Hb1Ac.

  • The platelet volume-count relationship was different in T2DM vs T1DM.

  • HbA1c was related to platelet mass and the volume-count relationship only in T1DM.

Abstract

Background and aims

The relationship between platelet indices and glucose control may differ in type 1 (T1DM) and type 2 (T2DM) diabetes. We aimed to investigate differences in mean platelet volume (MPV), platelet count, and platelet mass between patients with T1DM, T2DM, and healthy controls and to explore associations between these platelet indices and glucose control.

Methods and results

A total of 691 T1DM and 459 T2DM patients and 943 control subjects (blood donors) were included. HbA1c was measured in all subjects with diabetes and 36 T1DM patients further underwent 24 h-continuous glucose monitoring to estimate short-term glucose control (glucose mean and standard deviation). Adjusting for age and sex, platelet count was higher and MPV lower in both T1DM and T2DM patients vs control subjects, while platelet mass (MPV × platelet count) resulted higher only in T2DM. Upon further adjustment for HbA1c, differences in platelet count and mass were respectively 19.5 × 109/L (95%CI: 9.8–29.3; p < 0.001) and 101 fL/nL (12–191; p = 0.027) comparing T2DM vs T1DM patients. MPV and platelet count were significantly and differently related in T2DM patients vs both T1DM and control subjects; this difference was maintained also accounting for HbA1c, age, and sex. Platelet mass and the volume-count relationship were significantly related to HbA1c only in T1DM patients. No associations were found between platelet indices and short-term glucose control.

Conclusion

By accounting for confounders and glucose control, our data evidenced higher platelet mass and different volume-count kinetics in subjects with T2DM vs T1DM. Long-term glucose control seemed to influence platelet mass and the volume-count relationship only in T1DM subjects. These findings suggest different mechanisms behind platelet formation in T1DM and T2DM patients with long-term glycaemic control being more relevant in T1DM than T2DM.

Introduction

Diabetes mellitus is a metabolic disorder associated with a 2-fold increase of micro- and macro-vascular atherothrombotic complications as compared to subjects without diabetes [1], [2]. Platelet activation is known to contribute to atherothrombosis development and acute major arterial events [3]. Consistently, an increased urinary thromboxane (TX)A2 excretion, a biomarker of in vivo platelet activation, was documented in type 2 diabetes mellitus (T2DM) patients with macrovascular complications already two decades ago [4]. Since then, many different platelet functional and/or morphological abnormalities have been reported in vivo, ex vivo, or in vitro in T2DM, altogether consistent with increased platelet activity and/or reduced antiplatelet drug responsiveness phenotypes [5]. Conversely, data on platelets in type 1 (T1)DM, are more limited. Recently, we have reported in young T1DM patients an increased TXA2 generation in vivo associated with microvascular damage [6].

Among different platelet morphological indices, a high mean volume (MPV) of peripheral platelets is considered a marker associated with increased platelet activity in vivo, mainly related to the larger volume of newly-released platelets which display an increased pro-thrombotic activity [7]. High MPV has been associated with incident coronary heart disease events in T2DM [8] and in the general population [9]. Moreover, MPV has been reported to independently predict a reduced pharmacological response to low dose aspirin in T2DM [10]. Consistently, a higher immature platelet fraction has been reported in T2DM patients with cardiovascular complications [11] and has been associated with macrovascular events in patients without diabetes [12]. Moreover, higher levels of immature platelets have been associated with a reduced response to antiplatelet drugs in patients without [13], [14] and with T2DM [10].

Based on the above observations, the MPV has been often proposed as biomarker of poor outcomes and/or antiplatelet drug responsiveness in T2DM. However, not all the studies have been consistent in reporting an increased MPV in T2DM vs non-T2DM subjects [15], [16], [17], [18], [19]. In addition, platelet morphometric indices other than MPV, such as platelet count (PLT) and/or platelet distribution width have been investigated in T2DM and non-T2DM subjects, with inconsistent findings [15]. Data on platelet indices on T1DM are far more limited [20], [21], [22].

Under steady-state conditions of physiological megakaryopoiesis, the platelet size is inversely related to the platelet count, and these parameters are inversely regulated to keep the platelet mass (PM = PLT × MPV) constant [23]. Therefore, the measure of only one morphometric platelet index might be poorly informative of the kinetics of platelet generation in vivo and be potentially misleading or give inconsistent findings. Furthermore, previous studies on T2DM and a single platelet morphometric index often lacked of adjustment for potential confounders known to affect MPV, PLT and PM, independently of diabetes [24], such as age, gender and ethnicity [25]. Moreover, whether and how glycaemic control can affect the kinetics of platelet production in vivo is also unclear. Recently, high fasting glucose levels have been associated with high MPV in a large male population [24]; however, one fasting glucose measurement is poorly informative of the short- and long-term regulation of glucose metabolism or of the type of underlying metabolic defect (T1DM, T2DM, glucose intolerance) [26]. Finally, investigating T1DM separately from T2DM is potentially relevant, since hyperglycaemia in T1DM generally does not cluster with other metabolic alterations or comorbidities as in T2DM.

To help clarify these aspects, we performed a large, retrospective, case-control study including T1DM, T2DM and healthy subjects and investigated MPV, PLT, PM and their relationships in physiological and different diabetes conditions. We also investigated the effect of long- and short-term glucose control on the same platelet indices.

Section snippets

Population

The present study is a retrospective analysis of the database from T1DM and T2DM subjects of the outpatient diabetes clinic of the “A. Gemelli” Hospital, Catholic University School of Medicine, Rome. For subjects with T1DM and T2DM, data collected during one calendar year (2013) were anonymously extracted from hospital datasets providing that there were information on age and sex, and HbA1c, MPV and PLT values from samples collected on the same day. In our outpatient Unit, T1DM is diagnosed as

Platelet indexes

A total of 2903 participants were included in the study: 691 T1DM, 459 T2DM, and 943 control subjects; their characteristics and platelet indices are reported in Table 1. Overall, T2DM patients were slightly older than the other two groups, less females were present in the T1DM group, while the glycaemic control, as expressed by HbA1c, was similar in T1DM and T2DM groups. Unadjusted analyses showed that T2DM patients had the highest PLT and PM values among the three groups. Moreover, the

Discussion

To our knowledge, this is the first study which considered together different platelet indexes and their relationships, in large cohorts of T1DM, T2DM and healthy subjects. Data on age and sex allowed the estimation of differences accounting for these important confounders; moreover, HbA1c and 24-h glucose data, along with an accurate diabetes phenotyping, helped elucidating the role of short and long term glucose control and differentiate its impact on platelet generation in T1DM and T2DM.

In

Author contribution

FZ, DP, BR study idea and design; FZ, AR, AC, LT, VDS data extraction; FZ data analysis; FZ, BR first manuscript draft. All authors provided study critical revision, draft amendments, and approved the final version to publish. FZ is the study guarantor.

Conflict of interest

None related to this paper for all authors.

Funding

The study was supported by grants from: Linea D3.2 2013-70201169 to BR; and Italian Ministry for University and Research ‘Fondo per il Sostegno dei Giovani’ Anno finanziario 2012 to AR.

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