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Rapid glycemic regulation in poorly controlled patients living with diabetes, a new associated factor in the pathophysiology of Charcot’s acute neuroarthropathy

  • Dured Dardari ,

    Roles Conceptualization, Supervision, Validation

    dured.dardari@gmail.com

    Affiliations Department of Diabetes, Sud Francilien Hospital Center, Corbeil-Essonnes, France, INSERM UMRS 1138, Cordeliers Research Center, Paris, France, Sorbonne University, Paris, France

  • Georges Ha Van,

    Roles Investigation

    Affiliation Department of Diabetes, Pitié-Salpêtrière Hospital, Paris, France

  • Jocelyne M’Bemba,

    Roles Data curation

    Affiliation Podology Unit, Cochin Hospital, Paris, France

  • Francois-Xavier Laborne,

    Roles Data curation

    Affiliation Clinical Research Unit, Sud Francilien Hospital Center, Corbeil-Essonnes, France

  • Olivier Bourron,

    Roles Investigation

    Affiliations INSERM UMRS 1138, Cordeliers Research Center, Paris, France, Sorbonne University, Paris, France, Department of Diabetes, Pitié-Salpêtrière Hospital, Paris, France

  • Jean Michel Davaine,

    Roles Investigation

    Affiliations INSERM UMRS 1138, Cordeliers Research Center, Paris, France, Department of Vascular Surgery Pitié-Salpêtrière Hospital, Paris, France

  • Franck Phan,

    Roles Methodology

    Affiliations INSERM UMRS 1138, Cordeliers Research Center, Paris, France, Sorbonne University, Paris, France, Department of Diabetes, Pitié-Salpêtrière Hospital, Paris, France

  • Fabienne Foufelle,

    Roles Project administration

    Affiliation INSERM UMRS 1138, Cordeliers Research Center, Paris, France

  • Frédéric Jaisser,

    Roles Conceptualization

    Affiliation INSERM UMRS 1138, Cordeliers Research Center, Paris, France

  • Alfred Penfornis,

    Roles Conceptualization

    Affiliations Department of Diabetes, Sud Francilien Hospital Center, Corbeil-Essonnes, France, Paris-Sud Medical School, Paris-Saclay University, Corbeil-Essonnes, France

  • Agnes Hartemann

    Roles Conceptualization

    Affiliations INSERM UMRS 1138, Cordeliers Research Center, Paris, France, Sorbonne University, Paris, France, Department of Diabetes, Pitié-Salpêtrière Hospital, Paris, France

Abstract

Objective

Aggressive antidiabetic therapy and rapid glycemic control are associated with diabetic neuropathy. Here we investigated if this is also the case for Charcot neuroarthropathy.

Research design and methods

HbA1c levels and other relevant data were extracted from medical databases of 44 cases of acute Charcot neuroarthropathy.

Results

HbA1c levels significantly declined from 8.25% (67mmol/mol) [7.1%–9.4%](54-79mmol/mol), at -6 months (M-6), to 7.40%(54mmol/mol) [6.70%–8.03%] (50–64 mmol/mol) during the six months preceding the diagnosis of Charcot neuroarthropathy (P <0.001).

Conclusions

HbA1c levels significantly declined during the six months preceding the onset of Charcot neuroarthropathy. This decline seems to be a associated factor with the appearance of an active phase of Charcot neuroarthropathy in poorly controlled patients with diabetic sensitive neuropathy.

Introduction

Aggressive antidiabetic therapy and rapid glycemic control may result in a diabetic neuropathy called treatment-induced neuropathy of diabetes (TIND) [1, 2]. On the other hand, Charcot neuroarthropathy is a chronic, devastating and destructive disease of the bone structure and joints in patients with neuropathy. It is characterised by painful or painless bone and joint destruction in limbs that have lost sensory innervation [3, 4]; we have reported a case developed following rapid glycemic control [5]. In this project, we accessed databases of three diabetes centres, extracted a clinically significant number of cases of Charcot neuroarthropathy, and investigated whether its onset was associated with rapid glycemic control. We aimed to investigate this association for better understanding of the physiology of this complication.

Research design and methods

We retrospectively analyzed medical records of persons with diabetes and acute Charcot neuroarthropathy, who had been referred to three hospital centres (Department of Diabetes, Sud-Francilien Hospital, Corbeil-Essonnes, France; Podology Unit, Cochin Hospital, Paris, France; and Department of Diabetes, Pitie-Salpetriere Hospital, Paris) from 2008 to 2018. Patients with suspected active Charcot neuroarthropathy were referred by general practitioners, diabetologists or emergency services of these centres.

Patients

The inclusion criteria were: (i) a diagnosis of acute Charcot neuroarthropathy based on the clinical presentation of a hot and red foot with associated joint oedema and confirmed by radiological examination and nuclear magnetic résonance (MRI), and (ii) patients with HbA1c values (measured in their usual laboratories or at the hospital) at 6 and 3 months before the diagnosis of Charcot neuroarthropathy, and at the time of diagnosis.

The type of Charcot neuroarthropathy was determined according to the classification of Sanders and Frykberg [6, 7]. In Practice, The data of the radiology departments from already mentioned hospitals were screened in order to identify patients having practiced MRI with the diagnosis of active phase neuroarthropathy, the authors then included only patients with sensitive neuropathy and having performed three HbA1c tests within the time specified in the inclusion criteria, the clinical records were consulted for this information. (S1 Fig).

Out of 59 files screened by the three radiology departments, 44 files compliant with the inclusion criteria were finally included (the necessary population size according to the workforce calculation used in the statistical method was 43 patients). It is also important to note that patients with a diagnosis of OAN in active phase can also perform their MRI outside the hospital radiology department), all data were monitored by the clinical research unit of the Centre hospitalier sud Francilien, all three radiology departments used the classification of Eichenholtz [8] to determine an active phase of OAN, (MRI showing signs of microfracture, oedema of the bone marrow and bone contusion to determine an active phase of OAN.

Study design

The study adhered to the Declaration of Helsinki and the state laws of France. According to the national law and the research guidelines of local hospitals, a retrospective study with treatment administered as a part of routine clinical practice does not require the approval of an institutional review board. According to the French law (Decree No. 2016–1872 of December 26, 2016), a file was submitted to the INDS (Institut National des Données de Santé; National Institute of Health Data) and the CEREES (Comité d’Expertise pour les Recherches, les Etudes et les Evaluations dans le domaine de la Santé; Committee of Expertise for Research Studies and Evaluations in the Field of Health).

For each record selected, one of us (DD) collected data in an Excel file using a password-protected computer, without Internet access.

Statistical analysis

To demonstrate an HbA1c reduction of at least 2 points (within six months before the onset of Charcot neuroarthropathy) with an estimated variance of 2.5, we hypothesized that a population size of 43 patients was needed. Statistical analyses were performed with R software (version 3.6.1, The R Foundation for Statistical Computing, Vienna, Austria).

Data are presented as median and interquartile ranges. Statistical analysis for numeric variables was performed according to the non-parametric Friedman and Wilcoxon tests. Pairwise comparisons between time levels were performed using the Bonferonni-Holms method for p-value adjustment. Categorical variables were compared using Fisher’s exact test. Kernel density estimates were used to investigate multimodality [9].

Results

A total of 44 patients diagnosed with diabetes and acute Charcot neuroarthropathy were included in the study. Patients median age was 60 years (interquartile range = 50–71 years); 29 were males and 15 females living with diabetes for 16±3,2 years. Among patients with a foot deformity, 29 had a distortion in the tarsometatarsal joints and 13 in the metatarsophalangeal joints; the remaining two had knee or ankle disease. All subjects had diabetic sensitive neuropathy; only three patients had reported a previous autonomic neuropathy diagnosed before the onset of acute Charcot neuroarthropathy.

HbA1c levels

HbA1c levels declined from 8.25% (67mmol/mol) [7.1%–9.4%](54-79mmol/mol), at -6 months (M-6), to 7.80%(62mmol/mol) [7.15%–8.25%](55-67mmol/mol) at -3 months (M-3) and 7.40%(54mmol/mol) [6.70%–8.03%] (50–64 mmol/mol) at the time of diagnosis of Charcot neuroarthropathy (M0) (S1 Fig). This decrease in HbA1c level was highly significant (p <0.001).

Of the 44 included patients, 15 presented with T1DM and 29 with TD2M (S1 Table). HbA1c levels significantly decreased in patients with T1DM (-1.78% p <0.01) but not in patients with T2DM (-0.74%, not significant).(S2 Fig).

Recent intensification of treatment

Thirty-three patients underwent an intensification of antidiabetic treatment (16 with insulin, fou with liraglutide and six with oral antidiabetics (OADs). Intensification of antidiabetic treatment was unknown for seven patients) and one patient received a pancreas transplant (S1 Table). Of the 16 patients receiving insulin intensification, ten had T1DM, and six had T2DM (S1 Table).

Significant heterogeneity was found in the magnitude of HbA1c reduction with treatment intensification. Kernel density estimates [9] showed that the HbA1c reduction data (x-axis intervals of 0.2%) was well fitted with two normal distributions, one for the mean HbA1c reduction = 0.86% ± 1.66% and the second one for the HbA1c reduction = 4.23% ± 3.61%.

Discussion

In our study, HbA1c levels significantly declined during the six months before the onset of acute Charcot neuroarthropathy. HbA1c levels decreased more in patients with T1DM compared to patients with T2DM (S2 Fig). Significant heterogeneity was found in the magnitude of HbA1c reduction with treatment intensification (S3 Fig). Taking a cut-off of 2 points for the decrease in HbA1c% in six months, seventeen participants (two with T1DM and fifteen with T2DM) had an HbA1c reduction equal to or higher than the cut-off.

We included 44 diabetic patients with acute Charcot neuroarthropathy, a large sample size for an unusual disorder (its prevalence in patients with diabetes is 0.1% and 0.4% [10,11]). As expected, all included subjects had diabetic sensitive neuropathy. The distribution of HbA1c reduction among the included patients was bimodal. Therefore, we used a cut-off point (HbA1c reduction of more than 2 points in six months) similar to the one used by Gibbons et al. [1, 2] to define TIND (HbA1c reduction of more than 2 points in three months) [1]. In our study, we have a similar reduction, but in over six months, the clinical presentation of CN is longer than that of TNID.

Interestingly, the prevalence of TIND reported by Gibbons et al. (up to 10%) [1, 2] is similar to ours (11.4% of treatment-associated acute Charcot neuroarthropathy).

The Charcot neuroarthropathy (CN) is a rare and devastating disorder presenting with peripheral and/or autonomic neuropathy that affects people with diabetes [3, 4], [in our study only three patients had reported a diagnosis of autonomic neuropathy]. A late diagnosis of CN can have serious consequences, including amputation. The physiopathology of this disorder is poorly known. A new series of experiments was carried on the evolution of bone modelling factors in the appearance of Charcot neuroarthropathy with the implication of the receptor activator of nuclear factor-B ligand (RANKL) and its natural antagonist, osteoprotegerin (OPG) [12,13], it has already been described the value of OPG can vary after insulin treatment in patients living with type 1 diabetes [14], this may refine the hypotheses and the results of our study, however, the RANKL value was not evaluated in that study [14].

More, a diagnosis of neuroarthropathy in particular circumstances which can be linked to rapid correction of the glycemic balance without treating the subject directly has been described, as the onset of Charcot neuroarthropathy during weight loss after bariatric surgery [15] and after kidney and pancreas transplantation [16], it is for the first time we can clearly describe an association type relationship and not a direct causality between the onset of acute CN with the rapid glycemic control, a study tackled the level of HbA1C as a predictive factor in the onset of an OAN, but without conclusive results [17], in other words, one thinks that this rapid reduction in HbA1C levels contributes to the month in a partial way to the activation of the inflammatory phenomena which are currently the triggers of OAN [18]

Study limitations include: (i) The single-group design often employed in retrospective studies limits the researchers’ ability to determine cause and effect. Although it is usually impossible to include a control group in a retrospective study, whenever possible a control group should be included to help establish the cause-and-effect relationship; (ii) data extraction was centre-based, potentially ignoring site-specific factors.

In conclusion, HbA1c levels significantly declined during the six months preceding the onset of acute Charcot neuroarthropathy. This prevalence is similar to the prevalence of up to 10% reported by Gibbons et al. [1, 2] for TIND. Our results suggest that rapid glycemic control in chronically unbalanced patients with diabetic neuropathy is an associated factor for acute Charcot neuroarthropathy.

Supporting information

S1 Fig. Decrease in HbA1c levels before the onset of Charcot neuroarthropathy.

Values are given as median [interquartile ranges]. Statistical significance was tested with the non-parametric Friedman’s test.

https://doi.org/10.1371/journal.pone.0233168.s001

(DOCX)

S2 Fig. Reduction in HbA1c levels according to the type of diabetes.

https://doi.org/10.1371/journal.pone.0233168.s002

(DOCX)

S3 Fig. Heterogeneity of the magnitude of HbA1c reduction in the 6 months preceding the onset of Charcot neuroarthropathy.

(non parametric Friedman test).

https://doi.org/10.1371/journal.pone.0233168.s003

(DOCX)

S1 Table. Therapeutic aspects of the included patients.

https://doi.org/10.1371/journal.pone.0233168.s004

(DOCX)

Acknowledgments

The authors acknowledge Ricardo P. Garay (Craven, Villemoisson-sur-Orge, France) for editorial support.

References

  1. 1. Gibbons CH, Treatment-induced neuropathy of diabetes. Curr Diab Rep 2017;17:127. pmid:29064042
  2. 2. Gibbons CH, Freeman R, Treatment-induced neuropathy of diabetes: an acute, iatrogenic complication of diabetes. Brain 2015;138:43–52. pmid:25392197
  3. 3. Trieb K, The Charcot foot: pathophysiology, diagnosis and classification. Bone Joint J 2016;98-B:1155–1159. pmid:27587513
  4. 4. Rajbhandari SM, Jenkins RC, Davies C, et al., Charcot neuroarthropathy in diabetes mellitus. Diabetologia 2002;45:1085–1096. pmid:12189438
  5. 5. Dardari D, Penfornis A, Amadou C, et al., Multifocal (tarsus and knee) activation ofneuroarthropathy following rapid glycaemic correction. J Diabetes Complications 2019; Dec;33(12)
  6. 6. Sanders LJ, Frykberg RG. Diabetic neuropathic osteoarthropathy: The Charcot foot. In: Frykberg RG (ed) The high risk foot in diabetes mellitus. Churchill Livingstone, New York, 1991. pp. 297–338.
  7. 7. Frykberg RG. The high risk foot in diabetes mellitus. Churchill Livingstone, 1991. pp. 569–572
  8. 8. Chantelau E, Grutzner G. Is the Eichenholtz classification still valid for the diabetic Charcot foot? Swiss Med Wkly 2014: w13948
  9. 9. Silverman BW, Using Kernel density estimates to investigate multimodality. J R Statist Soc B 1981;43:97–99.
  10. 10. Fabrin J, Larsen K, Holstein PE. Long-term follow-up in diabetic Charcot feet with spontaneous onset. Diabetes Care 2000;23:796–800.27. pmid:10840999
  11. 11. Klenerman L. The Charcot neuroarthropathy joint in diabetes. Diabet Med. 1996;13:S52–S54. pmid:8741831
  12. 12. Mabilleau G, Petrova NL, Edmonds ME, Sabokbar A. Increased osteoclastic activity in acute Charcot’s osteoarthropathy: the role of receptor activator of nuclear factor-kappaB ligand. Diabetlogia 2008;51(6):1035–40.
  13. 13. Folestad A, Ålund M, Asteberg S, Fowelin J, Aurell Y, Göthlin J, et al. Role of Wnt/β-catenin and RANKL/OPG in bone healing of diabetic Charcot arthropathy patients. Acta Orthop. 2015;86(4):415–25. pmid:25811776
  14. 14. Xiang GD, Sun HL, Zhao LS, Hou J, Yue L, Xu L.Changes of osteoprotegerin before and after insulin therapy in type 1 diabetic patients Zhonghua Yi Xue Za Zhi. 2007 May 15;87(18):1234–7. pmid:17686254
  15. 15. Murchison R, Gooday C, Dhatariya K, The development of a charcot foot after significant weight loss in people with diabetes: three cautionary tales. J Am Podiatr Med Assoc 2014;104:522–525. pmid:25275743
  16. 16. Garcia Barrado F, Kuypers DR, Matricali GA, Charcot neuroarthropathy after simultaneous pancreas-kidney transplantation: risk factors, prevalence, and outcome. Clin Transplant 2015;29:712–719. pmid:26033225
  17. 17. Sämann A, Pofahl S, Lehmann T, Voigt B, Victor S, Möller F, et al. Diabetic nephropathy but not HbA1c is predictive for frequent complications of Charcot feet—long-term follow-up of 164 consecutive patients with 195 acute Charcot feet. Exp Clin Endocrinol Diabetes. 2012 Jun;120(6):335–9. Epub 2012 Mar 15. pmid:22421981
  18. 18. Jeffcoate W.J. Theories concerning the pathogenesis of the acute Charcot foot suggest future therapy Curr Diab Rep, 5 (2005), pp. 430–435 pmid:16316593