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Alpha‐lipoic acid for diabetic peripheral neuropathy

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To assess the effects of alpha‐lipoic acid on symptoms, impairment and neurophysiological attributes in established diabetic peripheral neuropathy.

Background

Diabetes mellitus

Diabetes mellitus is a syndrome characterised by chronic hyperglycaemia resulting from relative insulin insufficiency or resistance or both. According to recent data compiled by the WHO, diabetes affects more than 150 million people worldwide. Five to ten per cent have type 1 (formerly known as insulin‐dependent) and 90% to 95% have type 2 (non‐insulin‐dependent) diabetes mellitus. It is likely that the incidence of type 2 diabetes will rise as a consequence of lifestyle patterns conducive to obesity (Creager 2003). Both forms cause increased morbidity and mortality due to macrovascular disease and microvascular damage. Diabetic neuropathy is one of the main complications of the microvascular insult (Gale 2002).

Diabetic neuropathy

Historically, it was only after Marchal de Calvi's observations of 1864 that neuropathy was accepted as a consequence rather than a cause of diabetes. Diabetes can affect the peripheral (both proximal and distal), cranial and autonomic nerves. Distal peripheral neuropathy, the commonest presentation, produces a symmetrical pattern of pain, loss of sensation and weakness in the limbs, starting distally and progressing proximally. Proximal neuropathies cause pain in the thighs, hips or buttocks and lead to weakness in the lower limbs. Cranial neuropathy, which is less common, affects mainly the oculomotor nerve, although other cranial nerves are also at risk. Autonomic neuropathy involves damage to the nerves fibres carrying the parasympathetic and sympathetic nerve fibres involved in digestion, bowel, bladder control, sexual function and blood pressure regulation.

The international consensus meeting for the outpatient management of neuropathy agreed upon defining diabetic peripheral neuropathy (DPN) as 'the presence of symptoms and/or signs of peripheral nerve dysfunction in people with diabetes after the exclusion of other causes' (Soliman 2002). Diabetic peripheral neuropathy is associated with increased mortality relative to its severity (Forsblom 1998), with complications such as foot ulcers, and with impaired quality of life (Benbow 1998). Diabetic peripheral neuropathy is a major health problem from which approximately 50% of diabetic patients worldwide suffer (Sugimoto 2000). A prospective study in Europe of 4,400 patients found the prevalence of DPN to be 7.5% in diabetics at diagnosis; after 25 years, this number rose to 45% (Pirart 1995). Specifically in the UK, a study of 6,487 diabetic patients by the WHO suggests the prevalence of DPN to be around 29% (Wild 2001). These figures highlight the great need to find an effective treatment for this condition.

Management of diabetic neuropathy

The DCCT research group study (DCCT 1993) showed that rigorous control of blood glucose levels reduces the risk of developing neuropathy in diabetic subjects. However, this study did not study the effects of near‐normoglycaemia on existing symptomatic DPN, and thus this question remains open (Ziegler 1999). It seems unlikely that patients with established peripheral nerve loss could achieve improvement through glycaemic control, and it has yet to be proven that meticulous control of blood glucose can arrest the progression of symptomatic neuropathy (Pfeifer 1995). In addition, achievement of near‐normal blood glucose concentration is neither easy nor without risk. In the largest study of its kind, the severity and frequency of hypoglycemic episodes were approximately three times higher in patients receiving intensive glycaemic control therapy than in patients on conventional regimens (DCCT 1993). A lifetime of recurrent hypoglycaemia may result in progressive cognitive and intellectual deterioration due to the cumulative effects of small, subclinical insults to the brain.

Various experimental agents have been suggested to slow the progression of DPN. Of these, aldose reductase inhibitors have been most extensively studied. However, a meta‐analysis of randomised, controlled trials of aldose reductase inhibitors indicates that any benefit of treatment has not been conclusively demonstrated (Nicolucci 1996). In short, it has yet to be proven if any form of intervention can favourably influence the progression of symptomatic neuropathy (Pfeifer 1995).

As there are currently no therapies that can reverse the neuropathological processes of DPN, management relies mainly on the pharmacological treatment of overt symptoms, the most common of which is pain. Treatment for pain may start with a tricyclic antidepressant or, if the side‐effects of these drugs are a consideration, as in the elderly, other agents may be tried (Marchettini 2004). Meta‐analyses of randomised controlled trials of tricyclic antidepressants (Collins 2000), anticonvulsants (Collins 2000), capsaicin (Mason 2004) and tramadol (Duhmke 2004) have shown that these treatments are significantly superior to placebo in alleviating the pain of DPN. However, these established treatments often fail to provide adequate pain relief, which has lead to a search for alternative analgesics.

Pathophysiology of diabetic neuropathy

Four main hypotheses have been put forward to explain how hyperglycaemia leads to neuropathy (Brownlee 2001; Feldman 2003; Fernyhough 2003). The first of these suggests that DPN is a result of changes in gene expression and protein function that are induced by excess intracellular glucose being shunted into the hexosamine pathway. The second hypothesis states that hyperglycaemia increases levels of the second messenger diacylglycerol, which activates protein kinase C. Increased levels of these intracellular messengers lead to vascular occlusion and other effects contributing to nerve insult. The third hypothesis suggests that diabetic blood vessels suffer from increased intracellular Advanced Glycation of End Products (AGE). AGE arises from auto‐oxidation of glucose to glyoxal and decomposition and fragmentation of other glucose products, and impairs cell‐to‐cell adhesion and intercellular interactions. Finally, a number of recent studies have shown that in diabetes there is a depletion of reducing agents, such as NAD(P)H (Oates 2002; Tomlinson 1992), due to increased aldose reductase activity and excessive production of reactive oxygen species through the polyol pathway. According to all four hypotheses, disruption of the respective pathway occurs as a direct or indirect consequence of hyperglycaemia‐induced superoxide overproduction by the mitochondrial electron transport chain. In the diabetic state, unchecked superoxide accumulation and the subsequent pathway abnormalities result in impaired neural function and loss of neurotrophic support and, in the long‐term, apoptosis of neurons and Schwann cells. Hence, inhibition of superoxide accumulation may block both the initiation and progression of nerve injury (Feldman 2003). This observation has prompted the development of novel forms of treatment using antioxidants, such as vitamin E and alpha‐lipoic acid (ALA).

Alpha‐lipoic acid

Alpha‐lipoic acid (ALA), otherwise known as 6,8‐thioctic acid, was discovered in 1937 by Snell and colleagues (Snell 1937) who found that certain bacteria needed a compound from potato extract for growth. Alpha‐lipoic acid is a low molecular weight (Mr 170) antioxidant, like ascorbic acid (vitamin C) and tocopherol (vitamin E) (Morikawa 2001), and is a potent lipophilic free radical scavenger. ALA has also been found to be synthesized by animals, where it is covalently bound to the amino group of lysine residues and functions as a cofactor of mitochondrial enzymes by catalyzing oxidative decarboxylation of pyruvate, ketoglutarate, and branched‐chain keto acids. Although the biosynthetic pathway of ALA is not well understood, ALA seems to be synthesized in mitochondria from octanoic acid and a sulphur source (Packer 2001). Recent work has shown evidence of mitochondrial dysfunction in diabetic neuropathy (Fernyhough 2003), which raises questions about the endogenous levels of ALA in those with DPN.

Alpha‐lipoic acid in diabetic neuropathy

In animal studies, ALA has been shown to prevent or even reverse hyperglycaemia induced nerve dysfunction (van Dam 2002) by reducing free radical medicated oxidative stress. It has also been demonstrated that ALA improves nerve blood flow and peripheral nerve fibre conduction, and increases endoneurial glucose uptake and energy metabolism in experimental diabetic peripheral neuropathy (Low 1997; Nagamatsu 1995). Other studies have even shown that ALA in Type 2 diabetic patients can, over several weeks, improve insulin sensitivity (Jacob 1996). These studies form the rationale behind clinical trials of ALA in human DPN.

The first of the double‐blind studies on ALA in DPN was performed by Sachse and colleagues in 1980 (Ziegler 1999). It failed to demonstrate any difference between drug and placebo treatment in subjective symptoms, nerve conduction velocity and vibration perception threshold. However, as other trials were conducted, double‐ or single‐blind or open, with varying doses and methods of administration, improvements were reported. Nevertheless, due to differences in the sample sizes, choice of doses used and assessment tools, it was hard to state if ALA is effective (Ziegler 1999).

A meta‐analysis of four randomised placebo‐controlled trials (comprising 1,258 patients) using ALA infusions of 600 mg intravenously per day for 3 weeks in diabetic patients with positive symptoms of peripheral neuropathy has recently been published (Ziegler 2004) and has suggested that such treatment produces clinically significant improvements in both neuropathic symptoms and deficits. However, the authors did not consider all known trials of ALA. Indeed, no systematic review of ALA in DPN is known. This review aims to fill that gap and then to maintain an up‐to‐date record.

A number of composite measures for assessing the severity of DPN are available. One of these is the Total Symptom Score (TSS). The TSS quantifies the presence, severity (mild, moderate or severe), and frequency (infrequently, frequent or constant) of asleep‐numbness, burning, lancinating pain and prickling on a range of 0 (no symptoms) to 14.64 (all symptoms severe and almost continuously present). The TSS was developed because diabetic peripheral neuropathy is primarily a sensory disorder, and because it is more often the occurrence of positive phenomena, as opposed to sensory loss, which concerns patients. In addition, the measurement of TSS is of relevance to healthcare purchasers as painful neuropathy is amongst the commonest reasons for referral to tertiary neuromuscular practice. The TSS has been used in clinical trials, primarily those of ALA, although there are no validation studies known to the authors as yet.

Objectives

To assess the effects of alpha‐lipoic acid on symptoms, impairment and neurophysiological attributes in established diabetic peripheral neuropathy.

Methods

Criteria for considering studies for this review

Types of studies

We will include all truly or quasi‐randomised controlled clinical trials comparing the antioxidant alpha‐lipoic acid with placebo or other treatments in patients with diabetic peripheral neuropathy. Quasi‐randomisation refers to allocation using methods which are intended to be random but may not be (for example alternation, sequence of admission, case record numbers, dates of birth, or day of the week).

Types of participants

Trials which included participants of any age or sex with diabetic peripheral neuropathy will be considered. The definition of diabetic neuropathy used in the studies must conform to the following diagnostic criteria: the patient has diabetes mellitus by clearly defined and internationally recognised criteria, such as the World Health Organization criteria (WHO 1999); the patient has a predominantly distal symmetrical sensorimotor polyneuropathy of the limbs; other causes of sensorimotor polyneuropathy have been excluded. We will consider assessing the impact of the different definitions of diabetes mellitus by carrying out sensitivity analyses.

Types of interventions

We will include results for both intravenous and oral alpha‐lipoic acid compared with placebo treatment administered for a minimum of 14 days.

Types of outcome measures

Primary outcomes

Change in sum value of Total Symptom Score (Ametov 2003) at four weeks after randomisation. Where this outcome is not available we will use clinically significant improvement with whatever scale was used by the authors, as the primary outcome measure. In the event that data are only available for a period shorter than 4 weeks, then the average change in score per week will be used.

Secondary outcomes

Secondary outcome measures will include the following:

  1. Change in sum score of an impairment scale, such as the Neuropathy Impairment Score (Young 1993), at four weeks after randomisation.

  2. Change in sum value of Total Symptom Score at least six months after randomisation.

  3. Change in sum score of an impairment scale, such as the Neuropathy Impairment Score (Young 1993), at least six months after randomisation.

  4. Change in nerve conduction attributes at least six months after randomisation.

  5. Change in quality of life at least six months after randomisation.

  6. The occurrence or not of one or more serious adverse events by six months after randomisation. Events classified as serious include diabetic foot ulcers and amputations and any other events if they fulfil the criteria of resulting in death, being life‐threatening, or requiring prolonged hospitalisation.

Search methods for identification of studies

Electronic searches

The following databases will be searched:

  • Cochrane Neuromuscular Disease Group register, current version.

  • The Cochrane Library (all sections), newest available edition.

  • MEDLINE (January 1966 to the present).

  • EMBASE (January 1980 to the present).

  • Science Citation Index (1981 to present).

  • BIOSIS, limited to meeting abstracts only (1985 to present).

  • Web of Science Proceedings (1990 to present).

  • International Pharmaceutical Abstracts (1970 to present).

  • National Research Register UK, newest available edition.

Ongoing trials databases:

  • www.controlled‐trials.com

  • www.clinicaltrials.gov

There will be no language restrictions on searching.

We will adapt the following strategy to search each of the databases.

Diabetic peripheral neuropathy

1. exp diabetes mellitus/
2. diabet$.mp
3. 1 or 2
4. neuropath$.mp
5. exp Peripheral Nervous System Diseases/
6. polyneuropath$.mp
7. or/4‐6
8. 3 and 7
9. exp diabetic neuropathies/
10. diabetic neuropath$.mp
11. diabetic polyneuropath$.mp
12. or/9‐11
13. 8 or 12

Alpha‐lipoic acid

14. Thioctic acid [MeSH, all subheadings included]
15. (alpha‐lipoic acid or lipoic acid or thioctic acid or thioctacid or thioctan or tioctan).mp
16. 14 or 15

Diabetic peripheral neuropathy and alpha‐lipoic acid

17. 13 and 16

Randomised controlled trials and controlled clinical trials

18. See Metabolic and Endocrine Disorders Group search strategy

Diabetic peripheral neuropathy and alpha‐lipoic acid and randomised controlled trials and controlled clinical trials

19. 17 and 18

Searching other resources

Handsearching

We will try to identify additional studies by searching the reference lists of relevant trials and reviews identified.

Other search strategies

Authors of relevant identified studies and other experts will be contacted in order to obtain additional references, unpublished trials, and ongoing trials or obtain missing data not reported in the original trials. Similarly, manufacturers (VIATRIS) will be contacted in order to retrieve information on alpha‐lipoic acid trials, published and unpublished.

Data collection and analysis

Selection of studies

Three authors will independently undertake examination of all references retrieved by the search, and independently select trials meeting the inclusion criteria. We will undertake and report the assessment of interrater agreement, but not if few (less than 10) studies are being considered.
Any disagreements will be resolved by discussion between the authors with adjudication by the fourth author.

Data extraction and management

We will extract data concerning details of study population, intervention and outcomes using a specially designed data extraction form. Two authors will independently extract data and a third author will check the data extraction. Differences in data extraction will be resolved by consensus, referring back to the original article. When necessary, information will be sought from the authors of the original studies. Data about randomised patients excluded from the published analyses will be requested and if available will be incorporated into the analyses. Since randomised trials rarely contain adequate information about adverse events, evidence of adverse events will be sought from non‐randomised studies and reported. Evidence of adverse events will be sought informally from the non‐randomised literature such as Meyler's Side Effects of Drugs (Meyler 2000). We will also discuss the cost and cost‐effectiveness of the intervention.

Assessment of risk of bias in included studies

We will evaluate the methodological quality of the included studies by assessing the following study characteristics: explicit diagnostic criteria, explicit inclusion criteria, the method of randomisation, the extent to which the study takes into account any imbalance in prognostically important variables present at the time of randomisation, allocation concealment, patient, provider and outcome assessor blinding, explicit outcome measures and completeness of follow‐up. We will grade each of these characteristics as being adequate (A), unclear (B), inadequate (C) or not done (D). Quality assessment will be performed independently by two authors and any disagreements resolved by a third author.

Data synthesis

We will calculate a weighted treatment effect across trials using the Cochrane statistical package Review Manager (RevMan) 4.2.2. We will express results as relative risks (RR) with 95% confidence intervals (CI) for dichotomous outcome measures and weighted differences (WMD) with 95% CI using a fixed effect model unless there is evidence of heterogeneity suggesting that a random effects model would be more appropriate. We will use the chi‐squared test and the I‐squared statistic to quantify heterogeneity across trials. If heterogeneity is found we will attempt to explore possible reasons for it, for example by undertaking sensitivity analyses by repeating the calculation after omitting the trials which have low scores on individual quality items. In the event that our preferred outcome measures are not available but others are available for more than one trial we will use whatever outcome measures are available to calculate a weighted treatment effect across trials.