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Melatonin treatment for newborns with hypoxic ischaemic encephalopathy

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Abstract

Objectives

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

To assess the effects and safety of melatonin compared to standard care, including therapeutic hypothermia, for improving survival and reducing neurological sequelae in newborns with neonatal encephalopathy.

Background

Description of the condition

Neonatal encephalopathy (NE) is a clinically defined syndrome of disturbed neurological function in the earliest days of life in term and near‐term newborns. Symptoms include an altered level of consciousness, seizures, poor tone, and an inability to initiate or maintain respiration (Volpe 2012). NE secondary to intrapartum events is estimated to affect 1.16 million babies per year, with the highest rates occurring in sub‐Saharan Africa (Lee 2013). The estimated incidence of NE is one to three per 1000 live births in high‐income settings, and up to 10 times higher in low‐ and middle‐income settings (Kurinczuk 2010). NE is associated with multi‐organ dysfunction (Shah 2004), disability, and a high incidence of early mortality. The term NE does not specify aetiology or pathogenesis (Molloy 2018), however there are many potential causes including hypoxic‐ischaemic encephalopathy (HIE) and infectious, metabolic, coagulopathic, and placental causes. In up to half of cases, no underlying cause is identified (Nelson 2012). Regardless of the cause of NE, a final common pathway of hypoxia‐ischaemia leads to a cascade of events including oxidative stress (Zhao 2016) and systemic inflammation (Hagberg 2015) that finally result in cell death.

In the last decade, multiple clinical trials have demonstrated the benefit of therapeutic hypothermia (TH) for newborns with moderate to severe NE, in settings with access to neonatal intensive care. There is clear evidence that TH reduces adverse outcomes at 18 months of age (Jacobs 2013); this improvement persists into childhood and there is widespread benefit to families, society, and the economy (Azzopardi 2014). For these reasons, TH is standard care for newborns with NE in high‐income settings. In recent years, the search for adjunct interventions to TH has focused on other anti‐inflammatory and anti‐oxidant therapies, including allopurinol, erythropoietin, and magnesium sulphate. Although trials are ongoing, there is currently insufficient evidence to suggest that any of these therapies have a significant effect on outcomes in NE (Chaudhari 2012; Galinsky 2014; Robertson 2013; Wu 2015).

Despite treatment with TH, almost half of those with moderate to severe NE die or survive with adverse neurodevelopmental outcomes (Azzopardi 2009). In addition, recent data suggest that newborns with mild NE (which is not routinely treated with TH) are also at significant risk of neurodevelopmental disability (Chalak 2018). It is unclear whether TH is the best therapy for mild NE (Kariholu 2018), and there is a critical need for new therapies — either single or adjunct — in NE generally.

Description of the intervention

Melatonin (N‐acetyl‐5‐methoxytryptamine) is a naturally occurring hormone which is primarily released by the pineal gland in the brain (Epstein 1997). The release of melatonin is regulated by sensors in the eye which detect changes in light exposure. There is significant 24‐hour variation in blood melatonin levels, with concentrations being lower in the day and higher at night. Melatonin is an important regulator of the circadian rhythm, but it also has anti‐inflammatory (Tarocco 2019), anti‐oxidant (Reiter 2016), and anti‐apoptotic (Wang 2009) properties which make it a promising intervention for neuroprotection in NE.

Melatonin regulates the immune system in a number of ways. It acts as an anti‐inflammatory molecule under conditions of exacerbated immune responses (Carrillo‐Vico 2013). It exerts its influence on the innate immune system by regulating the lifespan of leukocytes by interfering with processes of cell death, regulating the release of pro‐inflammatory cytokines and leukotrienes, and modulating the production of pro‐inflammatory enzymes (Radogna 2010).

Melatonin is also a potent anti‐oxidant. It indirectly stimulates the production of anti‐oxidant enzymes including superoxide dismutase, glutathione peroxidase, and glutathione reductase, and inhibits the production of the pro‐oxidant enzyme nitric oxide synthase (Reiter 2016). Melatonin is a direct free radical scavenger, reducing the toxic effects of reactive oxygen species and leading to further reduction in oxidative stress (Arteaga 2017). Melatonin reacts with reactive oxygen species to form N1‐acetyl‐N2‐formyl‐5‐methoxykynuramine (AFMK). AFMK has potent anti‐oxidant effects and scavenges radical oxygen species as the final melatonin compound involved in the free radical scavenging cascade (Claustrat 2015).

Melatonin exerts it effect via several different pathways. It readily crosses the blood‐brain barrier and high levels accumulate in the central nervous system (Tan 2010). Because neurons have a high oxygen requirement, they are very vulnerable to oxidative stress. Some effects occur indirectly via two G protein–coupled receptors, M1 and M2, which are widely distributed throughout the body and the brain (Stankov 1991), but melatonin also works through its diverse anti‐oxidative mechanisms which prevent free‐radical‐induced oxidative damage to the electron transport chain and mitochondrial DNA (Reiter 2016). Melatonin is also believed to have a promising neuroprotective role through reduction of neuroinflammation (Esposito 2010); and in models of endotoxaemia it has been found to regulate the pro‐ and anti‐inflammatory cytokine network, modulate gene expression, and preserve mitochondrial integrity (Li 2013).

Several exogenous forms of ligands that attach to melatonin receptors are available and effective (Dubocovich 2010). However, very high pharmacological doses of melatonin may be required to exert anti‐oxidant activity. In the piglet model, the beneficial effects of melatonin have been found to be dose‐dependent, with earlier achievement of therapeutic levels (15 mg/L to 30 mg/L) as important (Robertson 2019). Melatonin can be administered by the enteral or intravenous route, although the recommended route of administration for acute neuroprotection in the newborn is intravenous as it results in greater bioavailability (Balduini 2019). Supplementation with melatonin has demonstrated a rapid and sustained rise in plasma melatonin concentration in those undergoing TH (Balduini 2019). Melatonin is primarily metabolised in the liver via cytochrome CYP1A2 enzyme; this enzyme is involved in the metabolism of a number of other commonly used medications such as paracetamol and caffeine, which may affect the bioavailability of melatonin (Papagiannidou 2014). Melatonin has been studied in a number of conditions in the neonatal population and has an excellent safety profile (Gitto 2009).

How the intervention might work

Brain injury in NE results from the consequences of HIE, which include systemic inflammation, oxidative stress, and increased apoptotic activity (Zhao 2016) and ultimately result in cell death. Recent studies have shown that increased neutrophil activation (O’Hare 2015) and elevated circulating pro‐inflammatory cytokines (O'Hare 2017) are associated with worse outcomes in NE. Clinical trials have demonstrated a reduction in circulating leukocytes and pro‐inflammatory chemokines in patients treated with TH (Jenkins 2013), suggesting that modulation of brain injury in NE occurs via immunosuppression. Further studies have demonstrated that administration of melatonin leads to a downregulation of neutrophil activity and pro‐inflammatory cytokines in the neonatal population (El‐Gendy 2017; Gitto 2004; Gitto 2005).

Newborns are more vulnerable to oxidative stress than older individuals (Perrone 2013), and oxidative stress is a critical contributor to brain injury in NE. Newborns with NE are unable to compensate for the excess production of reactive oxygen species following hypoxic or ischaemic insult. This in turn leads to an accumulation of toxins and further systemic inflammation which results in worsening brain injury. Studies of several conditions involving oxidative stress in newborns, including perinatal asphyxia, sepsis, and respiratory distress syndrome, have demonstrated a reduction in oxidative stress with melatonin supplementation (Gitto 2009).

In NE, oxidative stress combines with mitochondrial dysfunction to result in mitochondrial energy failure, a key regulator of apoptotic cell death (Lu 2015). Melatonin protects against neuron apoptosis via a wide range of effects, including reduced release of cytochrome c, increased expression of anti‐apoptotic proteins, and reduced expression of pro‐apoptotic proteins. These actions help prevent excess mitochondrial permeability and stabilise the mitochondrial membrane potential (Alonso‐Alconada 2013), leading to reduced apoptotic cell death.

Several animal models of NE have demonstrated improved outcomes with melatonin supplementation. Neonatal rats with HIE brain injuries were at lower risk of learning deficits and behavioural asymmetry when treated with melatonin (Carloni 2008). Newborn mice with white matter brain lesions demonstrated improved secondary repair of these lesions when treated with melatonin (Husson 2002). A piglet model of HIE demonstrated improved neuroprotection as measured by magnetic resonance spectroscopy when melatonin treatment was combined with TH, compared to TH alone (Robertson 2013). Lamb and rat models of NE have demonstrated that the neuroprotective effects of melatonin treatment are mediated through reduced pro‐inflammatory markers, reduced apoptosis‐mediated cell death and reduced cerebral oxidative stress (Aridas 2018; Villapol 2011).

Melatonin has an excellent safety profile: it is well tolerated both in high doses by adults, with no adverse effects on sedation (Andersen 2016), and by children on long‐term treatment, with no suppression of endogenous melatonin secretion (Palm 1997). It has been studied in many conditions in the neonatal population, including respiratory distress syndrome (Gitto 2004) and neonatal sepsis (Gitto 2001), with no adverse effects reported. The largest safety study of melatonin in the neonatal population, a retrospective study of 85 neonatal patients enrolled in multiple clinical trials of different conditions, demonstrated improved clinical outcomes and no adverse events (Aversa 2012). Studies have not demonstrated any evidence of toxicity, even when administered at very high doses (Aversa 2012). Enteral and intravenous administration of melatonin are feasible and have demonstrated increased plasma concentration of melatonin. It has also been shown following melatonin administration, neonates have reduced clearance and prolonged half‐life compared to adults. Hypothermia does not appear to cause any significant changes in pharmacokinetics in the neonatal population (Balduini 2019), therefore melatonin could make a good adjunct to HT.

Why it is important to do this review

Melatonin is not currently in routine use for infants with NE. There are compelling data from animal studies and early clinical trials to suggest melatonin is safe and may be effective as a neuroprotective agent in infants with NE, either as an adjunct or single therapy. Our aim is to perform a systematic review of clinical studies on the use of melatonin for babies with NE.

Objectives

To assess the effects and safety of melatonin compared to standard care, including therapeutic hypothermia, for improving survival and reducing neurological sequelae in newborns with neonatal encephalopathy.

Methods

Criteria for considering studies for this review

Types of studies

We will include all randomised and quasi‐randomised controlled trials comparing the use of melatonin with standard care for patients with neonatal encephalopathy.

Types of participants

We will include infants born at or beyond 35 weeks' gestation, with no major congenital malformations at birth and meeting any of the following criteria.

  1. Evidence of perinatal asphyxia, with each enrolled infant satisfying at least one of the following criteria

    1. Apgar score of five or less at 10 minutes

    2. Mechanical ventilation or resuscitation at 10 minutes

    3. Cord pH of less than 7.1, or an arterial pH of less than 7.1 or base deficit of 12 or more within 60 minutes of birth

  2. Evidence of encephalopathy according to Sarnat staging (Sarnat 1976)

    1. Stage 1 (mild): hyperalertness, hyperreflexia, dilated pupils, tachycardia, absence of seizures

    2. Stage 2 (moderate): lethargy, hyperreflexia, miosis, bradycardia, seizures, hypotonia with weak suck and Moro

    3. Stage 3 (severe): stupor, flaccidity, small to mid‐position pupils that react poorly to light, decreased stretch reflexes, hypothermia and absent Moro reflex

  3. Severity of encephalopathy according to Thompson Score (Thompson 1997)

    1. Score 0 to 10 (mild)

    2. Score 11 to 14 (moderate)

    3. Score 15 or more (severe)

Types of interventions

The intervention will be melatonin supplementation, by oral or intravenous administration, given to patients with NE within the first week of life. The comparison will be with standard treatment for NE, including TH.

Types of outcome measures

Primary outcomes

1. Composite of death or long‐term major neurodevelopmental disability, defined as a diagnosis of cerebral palsy (CP); Gross Motor Function Classification System (GMFCS) score of three or more; developmental delay, defined as a score on any standardised infant developmental assessment of more than two standard deviations below the mean; intellectual disability, defined as intelligence quotient (IQ) of more than two standard deviations below the mean; visual impairment, defined as visual acuity of less than 6/60 in both eyes; sensorineural hearing loss, defined as unable to hear sounds less than 40 decibels; or the need for more than one anti‐convulsant medication for seizure control. Long‐term outcomes will be reported for all studies that have evaluated children after 18 months of age.

Secondary outcomes

  1. Mortality

    1. Early (within the first week of life)

    2. Late (within the first year of life)

    3. At 18 months or final follow‐up assessment

  2. Each component of major neurodevelopmental disability assessed at more than 18 months of age

    1. Cerebral palsy (Richards 2013)

    2. Gross Motor Function Classification System of three or more (McDowell 2008)

    3. Developmental delay (Johnson 2014): defined as a score on any standardised infant developmental assessment of more than two standard deviations below the mean

    4. Intellectual disability (Schalock 2007): defined as IQ of more than two standard deviations below the mean

    5. Visual impairment (Dandona 2006): defined as visual acuity of less than 6/60 in both eyes

    6. Sensorineural hearing impairment (Morzaria 2004): defined as unable to hear sounds less than 40 decibels

  3. Abnormal magnetic resonance imaging (Barkovich 1998)

  4. Multiorgan dysfunction (Shah 2004)

  5. Use of anti‐convulsant medications

Search methods for identification of studies

We will use the criteria and standard methods of Cochrane and Cochrane Neonatal (see the Cochrane Neonatal standard search strategy).

Electronic searches

We will conduct a comprehensive search of databases including: the Cochrane Central Register of Controlled Trials (CENTRAL 2020, current issue) in the Cochrane Library; Ovid MEDLINE Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations, Ovid MEDLINE Daily and Ovid MEDLINE (1946 to current); and CINAHL (1981 to current). We will not apply language restrictions to the searches. We include the MEDLINE search in Appendix 1, which will be translated into the other databases using the standard search strategy of Cochrane Neonatal (Appendix 2).

We will search clinical trial registries for ongoing or recently completed trials. We will search The World Health Organization’s International Clinical Trials Registry Platform (ICTRP) (www.who.int/ictrp/search/en/) and the National Library of Medicine’s ClinicalTrials.gov (clinicaltrials.gov) via CENTRAL. Additionally, we will search the ISRCTN Registry for any unique trials not found through the CENTRAL search.

Searching other resources

We will search the reference lists of previous reviews, and trials included in the current review, for citations and cross‐references. We will search abstracts from conference proceedings, including those of the joint European Neonatal Societies/European Society for Paediatric Research (jENS/ESPR) (1960 to present), the Pediatric Academic Societies (PAS) (1998 to present) and the Perinatal Society of Australia and New Zealand (PSANZ) (1998 to present). We will also consult experts in the subject area.

Data collection and analysis

We will collect and analyse data in accordance with the standard methods of Cochrane Neonatal.

Selection of studies

Two review authors will independently assess the eligibility of all retrieved studies for inclusion in the review. Disagreements will be resolved by discussion between the two review authors. We will assess studies in the usual consecutive format, starting with title and abstract screening and subsequently full‐text screening. We will use Covidence software to facilitate this process (Covidence 2019). We will document the study selection process in a PRISMA flow diagram.

Data extraction and management

Two review authors will independently perform data extraction using a structured form. Differences will be resolved by discussion between the two review authors. We will contact study authors to request additional data from unpublished studies in abstract form, if required. All analyses will be performed using Review Manager 5 software (Review Manager 2014).

Assessment of risk of bias in included studies

Two review authors (TH and MOD) will independently assess all included trials using the Cochrane ‘Risk of bias’ tool. Each study will be assigned a judgement of low, high, or unclear risk of bias for the following domains (Higgins 2019).

  1. Sequence generation (selection bias)

  2. Allocation concealment (selection bias)

  3. Blinding of participants and personnel (performance bias)

  4. Blinding of outcome assessment (detection bias)

  5. Incomplete outcome data (attrition bias)

  6. Selective reporting (reporting bias)

  7. Any other bias

Any disagreements will be resolved by discussion or by consulting a third review author. See Appendix 3 for a more detailed description of risk of bias for each domain.

Measures of treatment effect

We will express treatment effects for dichotomous outcomes using summary risk ratio (RR), risk difference (RD), number needed to treat for an additional beneficial outcome (NNTB) or number needed to treat for an additional harmful outcome (NNTH), with 95% confidence intervals (CIs). For continuous outcomes, we will express treatment effects using mean difference (MD) and 95% CIs, where outcomes were measured using the same scale or in the same way in the included studies. We will used standardised mean difference (SMD) where studies assess the same outcome but measure it in different ways.

Unit of analysis issues

Our primary outcome is a composite of dichotomous outcomes. Each constituent of the primary outcome is clearly defined by standardised criteria and expressed in standardised unit measurement. Where outcomes are expressed as continuous data, we will use internationally accepted cut‐off values to categorise participants, as outlined above.

For cluster‐randomised trials we will follow the guidance in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2019) in order to avoid unit of analysis errors. We will conduct the analysis at the same level as the allocation, using a summary measurement from each cluster, so each cluster will become the individual and will be analysed on this basis. Cross‐over trials will be excluded.

Dealing with missing data

Our strategy to deal with missing data will follow Cochrane Handbook (Higgins 2019) guidance, as follows.

  1. Where possible, we will contact original investigators for missing data.

  2. Where possible, missing standard deviations will be imputed using the coefficient of variation (CV), or calculated from other available statistics including standard errors, CIs, t values, and P values.

  3. If the data are assumed to be missing at random, they will be analysed without imputing any missing values.

  4. If data cannot be assumed to be missing at random then the missing outcomes will be imputed with replacement values, assuming all to have a poor outcome.

  5. If we are required to impute data, we will make explicit the assumptions of any methods used.

  6. We will perform sensitivity analyses to assess how sensitive results are to reasonable changes in the assumptions that are made.

  7. We will address the potential impact of missing data on the findings of the review in the 'Discussion' section.

Assessment of heterogeneity

We will estimate the treatment effects of individual trials and examine heterogeneity among trials by inspecting the forest plots and quantifying the impact of heterogeneity using the I² statistic. We will grade the degree of heterogeneity as: less than 25% no heterogeneity; 25% to 49% low heterogeneity; 50% to 75% moderate heterogeneity; more than 75% substantial heterogeneity. If we note statistical heterogeneity (I² > 50%), we will explore the possible causes (e.g. differences in study quality, participants, intervention regimens, or outcome assessments).

Assessment of reporting biases

We will assess publication bias by creating funnel plots for meta‐analyses consisting of at least 10 studies. If significant asymmetry is found on visual inspection of the funnel plots, we will report this in the corresponding results.

Data synthesis

We will perform a meta‐analysis of primary and secondary outcomes, as well as pre‐defined subgroups, subject to availability of data. We will use standardised methodologies as described in the Cochrane Handbook (Higgins 2019). Meta‐analysis will be conducted using the inverse variance method for continuous outcomes, and the Mantel‐Haenzel method for dichotomous outcomes. We will use the random‐effects model and present all our results with 95% CIs. We will calculate the RR, RD, and NNTB or NNTH if the RD is significant — each with 95% CIs — for categorical outcomes. We will calculate the MD with 95% CIs for continuous outcomes. Where continuous outcomes are measured using different scales, the treatment effect will be expressed as SMD with 95% CIs. For any outcomes where the included studies are not sufficiently homogeneous, or where insufficient data are available for meta‐analysis, we will present a narrative synthesis.

Certainty of evidence

We will use the GRADE approach, as outlined in the GRADE Handbook (Schünemann 2013), to assess the certainty of evidence for the following (clinically relevant) outcomes: mortality, presence of cerebral palsy, developmental delay or intellectual disability, visual impairment or sensorineural hearing loss, abnormal magnetic resonance imaging, multiorgan dysfunction, and use of anti‐convulsant medications.

Two review authors will independently assess the certainty of the evidence for each of the outcomes above. We will consider evidence from randomised controlled trials as high‐certainty but will downgrade the evidence by one level for serious (or two levels for very serious) limitations based upon the following: design (risk of bias), consistency across studies, directness of the evidence, precision of estimates, and presence of publication bias. We will use GRADEpro GDT (GRADEpro GDT) to create a ‘Summary of findings’ table to report the certainty of the evidence.

The GRADE approach results in an assessment of the certainty of a body of evidence, of one of the following four grades.

  1. High certainty: we are very confident that the true effect lies close to that of the estimate of the effect.

  2. Moderate certainty: we are moderately confident in the effect estimate; the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.

  3. Low certainty: our confidence in the effect estimate is limited; the true effect may be substantially different from the estimate of the effect.

  4. Very low certainty: we have very little confidence in the effect estimate; the true effect is likely to be substantially different from the estimate of effect.

Subgroup analysis and investigation of heterogeneity

Where there are sufficient studies, the following a priori subgroup analyses will be conducted.

  1. Severity of NE

  2. Timing of initiation of melatonin treatment

  3. Method of melatonin administration

  4. Dose of melatonin administration (0.5 mg/kg/day to 3.0 mg/kg/day; 3.1 mg/kg/day to 7.5 mg/kg/day; 7.6 mg/kg/day to 20 mg/kg/day)

  5. Duration of melatonin administration (single dose; one to three days; four to seven days; more than seven days)

  6. Daily timing of melatonin administration (day (8am to 8pm); night (8pm to 8am))

  7. Adjunct use of TH

Sensitivity analysis

Where we identify substantial heterogeneity, we will conduct sensitivity analysis to determine if the findings are affected by inclusion of only those trials considered to have used adequate methodology with a low risk of bias (selection and performance bias). We will report results of sensitivity analyses for primary outcomes only.