Deep phenotyping neuropathy: An underestimated complication in patients with pre-diabetes and type 2 diabetes associated with albuminuria

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Abstract

Aims

The aim of the study was to assess whether quantitative-sensory-testing could be used to evaluate prevalence and predictors of diabetic neuropathy (DPNP) in patients with pre-diabetes and type 2 diabetes.

Methods

Twenty-eight pre-diabetics and 108 patients with type 2 diabetes were evaluated using neuropathy-deficit-score (NDS), neuropathy-symptom-score (NSS), nerve-conduction-studies (NCS), short-QST-protocol to examine small fibers and the comprehensive QST-battery (long-QST) according to the German Research Network on Neuropathic Pain protocol.

Results

Long-QST revealed a DPNP-prevalence of 71% in pre-diabetics and 95% in patients with type 2 diabetes, while according to NDS it was only 11% and 63%, and NCS missed 58% of patients with DPNP. Small and medium fibers were similarly affected in both groups, while large fiber deficits were significantly more common in type 2 diabetes (p < 0.01). Complete loss of function in all fibers was significantly higher in patients with type 2 diabetes than in pre-diabetics (26% vs. 11%, p < 0.05). Hyperalgesia was slightly increased in pre-diabetes than in type 2 diabetes (57% vs. 43%, p = n.s.). However, NSS only showed significant associations with large fiber deficits. Logistic regression analyses revealed that age (OR 1.14[1.05/1.24]) and albuminuria (OR 12.8[1.52/107.3]) were independent predictors for the presence of DPNP.

Conclusions

DPNP is much more prevalent in patients with pre-diabetes and type 2 diabetes and clinical routine tests may miss the majority of affected patients. Age and albuminuria, but not HbA1c, appear to be significantly associated with DPNP.

Clinical Trial Registration: NCT03022721.

Introduction

Diabetic polyneuropathy (DPNP) is the most common neurological complication, with a prevalence ranging from 8 to 30% in patients with diabetes mellitus [1], [2]. Recent trials described a similar prevalence of neuropathic deficits in patients with pre-diabetes [3], [4], thus emphasizing the preclinical early onset of the neuropathic pathology. DPNP leads to an increased risk for peripheral artery occlusive disease, foot ulcers, and amputations [5], [6]. The pathomechanisms underlying DPNP are only partly understood, with a gap between symptoms, large, medium, and small fibers and between loss and gain of function in diagnosis [7].

Nerve conduction studies (NCS) and questionnaires like the neuropathy symptom score (NSS) and the neuropathy deficit score (NDS) belong to the routine clinical diagnostics for diabetic neuropathy [8]. Obviously, questionnaires do not supply with quantifiable data on sensory abnormalities and are not able to differentiate between symptoms of increased sensitivity (‘gain’) or reduced somatosensory perception (‘loss’) [8]. NCS, though being able to detect deficits of large myelinated sensory-motor nerves, do not provide with information about small fiber function [9], [10], [11], [12]. A recent cross-sectional study, contrasting neurophysiological, psychophysical and blood flow measures to characterize nerve fiber function of patients with diabetes revealed sensitivity values between 59 and 73% for NCS, 61–89% for the assessment of thermal thresholds, and 76% for evaluation of vibration and monofilament thresholds [11]. These results emphasize our current diagnostic gap to identify sensory abnormalities in diabetic patients with high accuracy and sensitivity. Therefore, the German Research Network on Neuropathic Pain (DFNS), has developed a highly standardized quantitative sensory battery in order to assess both small and large fiber function [13], [14], [15]. A large data pool of somatosensory profiles was collected from more than 180 healthy controls of both sexes in order to obtain normative values from well-defined territories [13]. Based on this data set, ‘gain’ or ‘loss’ of somatosensory function can be evaluated for each individual patient by comparing the individual data with the normative data set.

The aims of this study were to assess whether questionnaires and comprehensive QST-battery could be used in order to characterize and compare somatosensory profiles of patients with pre-diabetes and type 2 diabetes. The hypothesis was that neuropathic deficits occur much more frequently than previously shown, because the clinical routine tests do not capture the variety of neuropathic dysfunction in patients with metabolic disorders. Furthermore, due to the small effects of glucose lowering therapy on neuropathy [16], a lack of association between the results of complete neurological testing and HbA1c was hypothesized.

Section snippets

Methods

All patients gave written informed consent. The study was approved by the local ethics committee of the Heidelberg University (No. S146-2015) and was performed in accordance with the Declaration of Helsinki 2013. Main inclusion criteria were patients diagnosed with impaired glucose tolerance (pre-diabetes) and patients diagnosed with type 2 diabetes mellitus with an age-range between 18 and 75 years. Patients were screened according to the following diagnostic criteria: An oral glucose

Results

One hundred and sixty participants were screened (120 patients with type 2 diabetes and 40 participants without known diabetes mellitus). Twelve patients with type 2 diabetes were excluded due to history of neuropathy caused by medication or other diseases. Twelve patients without diabetes were excluded due to a normal glucose tolerance test. Two patients (7%) with pre-diabetes and 72 (67%) patients with type 2 diabetes reported previous history for neuropathic symptoms. Detailed information on

Discussion

This study shows that DPNP prevalence is much higher when based on complete QST than described previously; the method is more sensitive than short-QST or NDS or a combination of both for detection of neuropathic deficits in patients with pre-diabetes and type 2 diabetes. Complete QST (or long-QST) alone detected 60% (n = 17) more patients with pre-diabetes and 32% (n = 35) more patients with type 2 diabetes and neuropathic deficits than commonly used NDS. Daily clinical routine tests (NDS and

Acknowledgement

This study was initiated and carried out by the support of the Deutsche Forschungsgemeinschaft (DFG) within Collaborative Research Center 1158 (CRC 1158; subprojects A03 and S01). Patient recruitment was supported by cooperation with the NeuroCentrum Odenwald, Darmstadt, Germany.

Authors contributions

S. Kopf takes full responsibility for the work, including study design, access data, and the decision to submit and publish the manuscript.

S. Kopf organized the study group, contributed to design the study, managed and analysed data and wrote the manuscript, J. B. Groener has investigated patients, collected data and was involved in completion of the manuscript, Z. Kender has investigated patients and collected data, T. Fleming was involved in data analyses and discussion, S. Bischoff was

Conflicts of interests

No conflicts of interests were reported by any author.

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