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Abstract

Background:

There is limited evidence on interventions to minimise weight gain at clozapine commencement. We compared the effect of adjunctive metformin versus placebo at clozapine initiation.

Methods:

People with schizophrenia commencing on clozapine were randomised to either metformin or placebo for 24 weeks. The primary outcome was difference in the change of body weight. Secondary outcomes included comparative rates of weight gain of more than 5%, overall weight gain/loss, and differences in metabolic and psychosis outcomes.

Results:

The study was closed prematurely in March 2020 due to COVID-19 restrictions. Ten participants were randomised to each of the metformin and placebo groups. Eight metformin group and five placebo group participants completed the trial and were included in the analysis. The study was insufficiently powered to detect difference between the metformin and placebo groups for the primary outcome of change in weight (0.09 kg vs 2.88 kg, p = 0.231). In terms of secondary outcomes, people in the metformin group were significantly less likely to gain >5% of their body weight (12.5% vs 80%, p = 0.015) and were more likely to lose weight (37.5% vs 0% p = 0.024) compared to placebo. There was no difference between the groups in terms of adverse drug reactions (ADRs).

Conclusion:

While limited by the forced premature closure of the trial due to COVID19, the findings from this randomised controlled trial are promising. Clozapine and metformin co-commencement may be a promising treatment to prevent clozapine-associated weight gain, especially given the low rates of ADRs associated with metformin. This supports the consideration of use of metformin to prevent weight gain in people initiated on clozapine; however, further studies are needed to confirm this finding.

Trial registration:

ACTRN12617001547336

Keywords

clozapine metformin obesity randomised controlled trial

Introduction

People with schizophrenia are three times more likely to die prematurely than the general population,¹ leading to a 16-year reduction in life span.² This mortality gap is largely driven by morbidities associated with metabolic disorders and cardiovascular disease.² The increased risk for cardiometabolic disease among people with schizophrenia is multifactorial, including genetic risks of impaired glucose regulation,³ as well as lifestyle factors like poor diet,⁴ lack of physical activity⁵ and smoking.⁴ However, a major contributing factor for glucose dysregulation is antipsychotic medications.⁶

Up to 33% of people with schizophrenia will not respond to first- and second-line antipsychotic medications.⁷ This cohort of people have treatment refractory schizophrenia (TRS).⁸ Clozapine is the most effective medication for reducing positive symptoms,⁹ hospitalisations,¹⁰ and overall mortality among people with TRS.¹¹ However, clozapine is associated with the highest rates of weight gain, type-2 diabetes mellitus (T2DM), and metabolic syndrome of all antipsychotics.^6,12,13

Lifestyle modification, though effective in reducing weight and improving cardiometabolic health, is hampered by low rates of uptake and long-term engagement among people with schizophrenia.¹⁴ For example, people with schizophrenia frequently suffer from comorbid cognitive deficits which can create barriers to engaging in physical activity programmes or planning meals.¹⁵ As such, there is a need for effective pharmacological agents to ameliorate weight gain among people on antipsychotic medications, particularly clozapine.

Clozapine-induced weight gain is multifactorial, with involvement of serotonergic, histaminic, muscarinic and dopaminergic pathways.¹⁶ Variants in the LEP and HTR2C genes have been associated with greater weight gain with clozapine.¹⁷ Pharmacological agents, such as metformin, can improve glucose homeostasis and lead to weight loss.¹⁸ Metformin mediates weight loss in part through the peptide hormone growth differentiation factor 15 (GDF15).¹⁹

A meta-analysis of randomised controlled trials (RCTs), including 478 participants with schizophrenia who were already taking clozapine and obese, showed that commencement of metformin led to a 3.12-kg greater loss in weight than placebo (95% confidence interval [CI]: 1.37–4.88 kg, p < 0.001).²⁰ In a retrospective naturalistic cohort study of patients routinely commenced on clozapine, patients who were taking metformin in the subsequent 12 months had a significantly lower increase in percentage body weight gain than patients who were not taking metformin (1.32% versus 5.95%, p = 0.031).²¹

Preventing rather than ameliorating weight gain is important. Weight gain compromises treatment adherence which can lead to relapse in psychosis among people with TRS.²² However, to date, there is limited evidence on interventions that can prevent weight gain at the time of clozapine commencement. There have been no RCTs that have explored the concomitant prescription of metformin at the time of clozapine initiation to attenuate weight gain.

In CoMET: a randomised controlled trial of co-commencement of metformin, we aimed to investigate the effectiveness of adjunctive metformin versus placebo in attenuating weight gain in people with schizophrenia newly commenced on clozapine.

Methods

This trial received ethics approval from the Metro South Human Research Ethics Committee (HREC/17/QPAH/538). It was registered on the Australia and New Zealand Clinical Trials Registry (ACTRN12617001547336). A pre-trial protocol was published.²³

Recruitment was undertaken at four Hospital and Health Service (HHS) Districts in South-East Queensland: Metro North HHS, Metro South HHS, West Moreton HHS, and Gold Coast HHS. Recruitment was from inpatient units, residential community care units, and community clinics. All patients participating in the study provided a written informed consent.

Participant inclusion criteria were people with schizophrenia or schizoaffective disorder who were either clozapine naïve or had not been on clozapine in the previous year, had capacity to consent, and who were being commenced on clozapine as part of routine care by their treating team. Participants were excluded from the study if they were underweight (body mass index (BMI) ⩽ 18 kg/m²), morbidly obese (BMI ⩾ 40 kg/m²), had a pre-existing diagnosis of T2DM, or were already taking metformin or any other weight-lowering medications. The full inclusion and exclusion criteria are detailed in Supplementary Appendix 1.

As clozapine is a highly monitored drug in Australia, clozapine recipients attend structured weekly medical appointments, with weekly biometric measurements and absolute neutrophil counts (ANC) for the first 18 weeks of clozapine treatment. After Week 18, the clozapine treatment protocol in Australia stipulates 4-weekly medical reviews and ANCs. Prior to clozapine commencement, pre-registration with a clozapine manufacturer patient -monitoring system is required. At the time of clozapine registration, potential participants for this study were approached by clinical teams regarding the CoMET study and referred to our clinical trials team for further information, assessment for eligibility and consent.

Participants who met eligibility requirements and provided consent were randomised to metformin (active treatment) or placebo in a 1:1 ratio using blocks of four via a computer-generated randomisation table provided by a statistician independent of the study and treating teams. The treating team, participants and the research team were blinded to allocation of intervention.

Allocation concealment was maintained using placebo tablets that were identical in packaging, appearance, colour, and taste to the metformin tablets. The number of placebo tablets dispensed were increased to match the titration of metformin. The study medications were packed in blinded sequentially numbered bottles by a pharmacist external to the study group. All other study assessments and procedures were identical between the two groups. As part of usual care in the public mental health clinics providing care to the trial participants, all patients are offered dietary and physical activity advice.

We based our metformin dose regime on clinical recommendations, starting at 500 mg daily and titrating up to 2000 mg daily over 3 weeks.^24,25

Based on the primary outcome, change in body weight at 24 weeks, using repeated measures with two-way analysis of variance (ANOVA), we calculated a required total sample size of 86 participants. Using data from our meta-analysis of metformin for clozapine-associated obesity,²⁰ we estimated that to observe a minimal clinical difference in weight change of 3.12 kg, with an assumed standard deviation (SD) of 9.6 in both groups (from our meta-analysis), α = 0.05, and correlation between baseline and repeated measures of 0.7, we would require 34 participants per group to achieve 80% power. We assumed an attrition rate of 20% from baseline to follow-up.

Treatment protocol

Metformin group

Participants in the metformin group were provided with metformin extended release (XR) formulation to be taken nightly 24 weeks. Metformin XR 500 mg tablets were titrated, as tolerated, over 3 weeks period with one tablet daily (500 mg) for the first week, two tablets daily (1000 mg) for the second week and four tablets daily (2000 mg) for the remainder of the study.

Placebo group

Placebo group participants were provided with placebo tablets identical to the metformin XR tablets to be taken nightly over the 24-week trial. The dose was titrated, as tolerated, over a 3-week period with one tablet daily for the first week, two tablets daily for the second week and four tablets daily for the remainder of the study.

Adherence was monitored through the count of returned unused tablets at each visit.

Outcomes

Primary

The primary outcome was a difference in the change between baseline and endpoint body weight in kilogrammes (kg) at 24 weeks between the placebo and metformin groups.

Secondary

The secondary outcomes were differences between the placebo and metformin groups in terms of the following: the proportion of participants with weight gain of ⩾5%, overall weight gain or loss, and changes in metabolic outcomes. These included BMI, waist circumference, hip/waist ratio, heart rate, diastolic and systolic blood pressure (BP), vitamin B12, glycosylated haemoglobin (HbA1c), fasting glucose and insulin, homeostatic model assessment (HOMA), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol and triglycerides. Other outcomes were measures of hepatic fibrosis including the Non-Alcoholic Fatty Liver Disease (NAFLD) Fibrosis Score or Fibrosis-4 (FIB-4) Index.

We also compared the placebo and metformin groups in terms of changes in Positive and Negative Syndrome Scale (PANSS) and Global Assessment of Functioning (GAF) scores from baseline to endpoint, as well as adverse drug reactions (ADRs; SAFTEE – a systematic ADR checklist)²⁶ and dropouts.

Trial visits, assessments and outcome measures

Trial visits and assessments were identical in both groups.²³ Participants were seen by trial investigators weekly for the first 4 weeks and then every four weeks for the remainder of the study, with investigational product (either metformin or placebo) dispensed at every study visit. Anthropometric assessments and ADRs were recorded every study visit. Metabolic bloods, including fasting glucose, HDL and LDL cholesterol, triglycerides, HbA1c, Vitamin B12 and insulin (for the calculation of HOMA) were taken at baseline and Weeks 12 and 24. Oral Glucose Tolerance Test (OGTT) was conducted at baseline and Week 24. PANSS and GAF were assessed at baseline and at Weeks 12 and 24.

Height was recorded at the screening assessment. Weight was recorded to the nearest 0.1 kg using calibrated scales with participants wearing light clothing, no shoes and after emptying their bladder. Waist circumference was measured horizontally around the abdomen at a level halfway between the top of the iliac crest and the bottom of the ribs using a non-stretchable measuring tape to the nearest 0.5 cm.²⁷ Hip circumference was measured at the maximum circumference of the buttocks.²⁷ The hip/waist ratio was calculated as the ratio of hip circumference to waist circumference. Pulse and BP were recorded after the participant sat for 5 min.²⁸

The NAFLD Fibrosis Score was calculated using age, BMI, presence of diabetes, liver enzymes, albumin and platelets, with a low cut-off threshold of <–1.455 to exclude fibrosis.²⁹ The FIB-4 Index was calculated using age, liver enzymes and platelets, with a low cut-off threshold of <1.45 to exclude fibrosis.³⁰

Food craving was measured using the Food Craving Inventory,³¹ assessed at baseline and endpoint.

Psychotic symptoms were measured using the PANSS, a validated 30-item investigator-rated measure.³² The GAF, a validated investigator rated scale, measures symptom severity, psychological, social, and occupational functioning.³³

Data analysis

For the primary outcome (change in weight between baseline and endpoint), we undertook a repeated measures analysis using two-way analysis of variance over the nine data collection time points to assess both the within-subjects’ time and time by intervention effect. This included baseline weight as a co-variate. Repeated measures analysis was also used for all secondary outcomes with continuous variables, except food craving which was analysed by t-test. Where data violated the assumption of sphericity, Greenhouse–Geisser correction was used. Chi-square tests were used for categorical variables and t-tests for continuous variables. Differences between the baseline characteristics of the metformin and placebo groups were compared using t-tests or chi-square tests as appropriate. Number needed to treat was calculated from rates of participants with >5% weight gain between the metformin and placebo groups. Analysis was undertaken using SPSS (Version 27 for Mac).

Results

Study recruitment was commenced in March 2018 but shut down prematurely in March 2020 due to COVID-19 lockdown restrictions. Two hundred and five people were assessed for eligibility. Ninety-two people did not meet eligibility criteria (24 were already taking metformin and 68 did not meet other eligibility criteria), 16 were assessed to be deprived of capacity to provide informed consent, 7 had their clozapine ceased by the treating team prior to randomisation, and 70 declined to participate. Twenty participants were randomised, 10 to metformin and 10 to placebo. From the metformin group, one participant discontinued the trial because they declined to take the study medication, while the other requested to leave the trial so they could be commenced on metformin open label by their treating team. Five participants in the placebo arm discontinued the trial, one because they declined to take the study medication, two because of non-adherence with clozapine, and two because of a treating team decision to cease clozapine. Eight participants in the metformin arm and five in the placebo arm completed the trial and were included in the endpoint analysis. Of those who did not complete the trial, only one had data beyond the 4-week timepoint. The CONSORT Flow Diagram is provided as Figure 1. The CONSORT checklist is provided as Supplementary Appendix 2.

Figure 1.

CONSORT 2010 flow diagram.

All participants were titrated to 2000 mg XR metformin daily (or four tablets placebo daily) over the first 3 weeks as per protocol without the need to slow titration or down titrate.

Baseline characteristics of the participants in the metformin and placebo groups are provided in Table 1. The participants in the placebo group had statistically significantly higher body weight, BMI, waist circumference, Hip/Waist ratio and fasting triglycerides than those in the metformin group. Other measures were not statistically significantly different. Mean clozapine dose and levels at Week 24 did not statistically significantly differ between the groups. Baseline characteristics of participants who completed the study are provided in Supplementary Table 2. These baseline characteristics were broadly similar to those of all participants; however, the difference in weight between the placebo and metformin groups was not statistically significant.

Table 1.

Baseline demographics and clinical measures.

	Placebo, n = 10	Metformin, n = 10	p value
Male sex (%)	10 (100%)	7 (70%)	0.060
Age (SD) years	30.7 (7.7)	36.2 (13.8)	0.286
Aboriginal or Torres Strait Islander Descent	1 (10%)	0 (0%)	0.305
Weight (SD), kg	94.5 (17.2)	79.8 (10.0)	0.032
BMI (SD), kg/m²	29.9 (4.3)	25.5 (1.5)	0.011
Waist (cm)	107.8 (13.8)	88.1 (8.5)	0.015
Hip/waist ratio	0.99 (0.02)	0.96 (0.02)	0.049
BP systolic (mmHg)	124 (10.0)	119.2 (11.3)	0.422
BP diastolic (mmHg)	83.8 (12.3)	79.7 (9.9)	0.328
Fasting glucose (mmol/L)	5.1 (0.5)	4.9 (0.5)	0.316
OGTT 2 h (mmol/L)	7.3 (2.0) (n = 7)	6.1 (2.3) (n = 9)	0.258
Prediabetes*	3/7 (42.9%)	2/9 (22.2%)	0.377
HbA1c (%)	5.1 (0.3)	5.1 (0.2)	1.000
Fasting HDL (mmol/L)	0.97 (0.20)	1.13 (0.30)	0.175
Fasting LDL (mmol/L)	2.91 (0.62)	3.23 (0.77)	0.323
Fasting TG (mmol/L)	2.57 (1.72)	1.31 (0.53)	0.040
HOMA	3.12 (3.18)	2.14 (1.18)	0.373
NAFLD Fibrosis Score (n (%) below threshold)*	10 (100%)	10 (100%)	–
FIB-4 Index (n (%) below threshold)*	10 (100%)	10 (100%)	–
PANSS	78.5 (15.9)	71.5 (22.8)	0.436
GAF	40.6 (10.6)	40.4 (8.7)	0.964

BMI, body mass index; BP, blood pressure; FIB-4, Fibrosis-4; GAF, Global Assessment of Functioning; HDL, high-density lipoprotein; HOMA, homeostatic model assessment; LDL, low-density lipoprotein; NAFLD Fibrosis Score, Non-Alcoholic Fatty Liver Disease Fibrosis Score; OGTT, Oral Glucose Tolerance Test; PANSS, Positive and Negative Syndrome Scale; SD, standard deviation; TG, triglycerides.

Chi-square test.

For the primary outcome, there was no statistically significant difference in the change in weight between the metformin and placebo groups on repeated measures analysis (0.09 kg vs 2.88 kg, p = 0.231). There was also no statistically significant difference between participants in the metformin and placebo groups for the secondary continuous outcomes, apart from HbA1c (0.24% lower in the metformin group, p = 0.047) and diastolic BP (0.26 mmHg lower in the metformin group, p = 0.047); however, neither of these results were a clinically meaningful change³⁴ (Table 2). Change in weight over time for each participant is provided in Figure 2.

Table 2.

Change in variables from baseline to Week 24 (per protocol analysis).

	Estimated marginal means
	Metformin	Placebo	Between group difference	Within subjects (df = 8)
	n = 8	n = 5	Between group difference	Time effect		Time × intervention effect
	Mean change (SE)	Mean change (SE)	Mean difference (SE)	F value	p value	F value	p value
Weight (kg)	0.09 (0.97)	2.88 (1.22)	−2.79 (1.56)	2.440	0.125	1.592	0.231
BMI (kg/m²)	0.03 (0.31)	0.89 (0.40)	−0.86 (0.51)	2.464	0.124	1.529	0.159
Waist (cm)	1.23 (1.26)	1.87 (1.59)	−0.64 (2.03)	1.747	0.185	0.958	0.416
Hip/waist ratio	0.01 (0.08)	−0.01 (0.1)	0.02 (0.01)	1.496	0.170	1.355	0.227
Heart rate	5.33 (4.74)	2.58 (5.99)	2.76 (7.64)	2.633	0.040	0.566	0.707
Systolic BP (mmHg)	0.81 (2.81)	6.07 (3.56)	−5.26 (4.53)	1.758	0.096	1.827	0.082
Diastolic BP (mmHg)	2.81 (2.39)	3.07 (3.02)	−0.26 (3.85)	1.351	0.229	2.071	0.047
				(df = 2)
HbA1c (%)	−0.08 (0.05)	0.16 (0.06)	−0.24 (0.08)	1.569	0.233	3.533	0.049
Fasting glucose (mmol/L)	0.02 (0.09)	0.32 (0.11)	−0.30 (0.14)	1.577	0.236	2.022	0.176
HOMA	−0.32 (1.00)	2.29 (1.26)	−2.62 (1.61)	1.712	0.217	1.782	0.208
HDL (mmol/L)	−0.02 (0.04)	0.12 (0.05)	−0.14 (0.06)	1.366	0.276	2.914	0.075
LDL (mmol/L)	−0.01 (0.16)	0.03 (0.19)	−0.04 (0.25)	0.116	0.891	0.625	0.545
Triglycerides (mmol/L)	0.33 (0.18)	0.21 (0.22)	−0.13 (0.28)	1.079	0.357	0.065	0.937
Vitamin B12 (nmol/L)	11.25 (16.90)	14.00 (21.37)	−2.75 (27.25)	1.019	0.378	0.390	0.681
PANSS	−10.33 (3.45)	−3.75 (4.87)	−6.58 (5.97)	3.640	0.045	0.928	0.412
GAF	8.58 (1.96)	6.42 (2.77)	2.17 (3.39)	13.245	<0.001	0.254	0.778

BMI, body mass index; BP, blood pressure; GAF, Global Assessment of Functioning; HbA1c, vitamin B12, glycosylated haemoglobin; HDL, high-density lipoprotein; HOMA, homeostatic model assessment; LDL, low-density lipoprotein; PANSS, Positive and Negative Syndrome Scale; SE, standard error.

Figure 2.

Weight change throughout the study period.

Compared to participants in the placebo group, participants in the metformin group were significantly less likely to gain more than 5% of their body weight, (12.5% vs 80%, p = 0.015), were more likely to lose weight (37.5% vs 0%, p = 0.024; Table 3) and have a reduction in BMI (37.5% vs 0%, p = 0.024). The number needed to treat to prevent a >5% gain in body weight was 1.5.

Table 3.

Metabolic changes from baseline to 24-week endpoint.

	Metformin, (n = 8)*	Placebo, (n = 5)*	p value
Change in weight
Weight gain	5 (62.5%)	5 (100%)	0.024
Weight loss	3 (37.5%)	0 (0%)
5% weight gain
⩾5% weight gain	1 (12.5%)	4 (80%)	0.015
<5% weight gain	7 (87.5%)	1 (20%)
NAFLD Fibrosis Score
Above threshold	0 (0%)	3 (60%)	0.012
Below threshold	8 (100%)	2 (40%)
FIB-4 Index
Above threshold	0 (0%)	2 (40%)	0.052
Below threshold	8 (100%)	3 (60%)

FIB-4 Index, Fibrosis-4 Index; NAFLD Fibrosis score, Non-Alcoholic Fatty Liver Disease Fibrosis Score.

Number of participants and percentage within intervention group.

Using the NAFLD Fibrosis Score threshold for excluding NAFLD, all metformin participants were below the threshold, compared to 40% of the placebo group (p = 0.012). Using the FIB-4 Index threshold for excluding NAFLD, the result failed to reach statistical significance (100% vs 60%, p = 0.052; Table 3). No participants had NAFLD Fibrosis Scores or FIB-4 Indices above the threshold for high risk of hepatic fibrosis.

There was no difference between the groups on change in the Food Craving Inventory total score from baseline to endpoint (placebo: –16.2, SD: 29.2 versus metformin: –6.3, SD: 24.0, p = 0.480).

There was no statistically significant difference between participants in the metformin and placebo groups for any of the ADRs (Supplementary Table 1). The most common ADR was tachycardia, in 50% of all participants in both groups. This is most likely to be secondary to commencement of clozapine than the intervention. No participants in either group had Vitamin B12 deficiency, an ADR associated with metformin previously reported in the literature.³⁵ No participants developed diabetes based on fasting glucose, HbA1c or OGTT.

Discussion

This study is the first double-blind RCT to examine the effectiveness of metformin on ameliorating weight gain among people commenced on clozapine. We were not able to achieve our recruitment targets due to early trial closure secondary to the COVID-19 global pandemic. Despite being underpowered for the primary outcome of change in weight between metformin and control, we did find that fewer people on metformin than placebo gained more than 5% body weight, a clinically significant change in body weight³⁶ and that significantly more people on clozapine than placebo lost weight. The number needed to treat to prevent a >5% body weight gain was 1.5. These results should be viewed with caution in the context of the small sample size and require further exploration in future adequately powered studies.

These findings are in keeping with a recent retrospective cohort study by our group. We previously found that in the year after commencement of clozapine, people who were commenced on metformin by their treating team had significantly less weight gain than those who were not commenced on metformin.²¹ Two previous RCTs examined metformin co-commencement with olanzapine, an antipsychotic with a similar, albeit slightly less-adverse, metabolic profile to clozapine. One RCT demonstrated amelioration of weight gain,³⁷ while the other RCT had equivocal results.³⁸

Although change in weight is a proxy measure for future cardiometabolic disease, it remains an important issue for people with schizophrenia. Weight gain is the most distressing side effect reported to callers of mental health helplines²² and is associated with poorer quality of life outcomes³⁹ and barriers to social engagement.⁴⁰ Weight gain may compromise adherence with treatment.²² Greater body weight is associated with higher mortality risk, with all-cause mortality risks increasing for those who are overweight and obese.^41,42 In addition, obesity has also been found to increase risk of accelerated brain ageing in schizophrenia.⁴³

We found statistically significantly greater reductions in the metformin group than the placebo group for HbA1c and diastolic BP, although these reductions were not clinically meaningful. Previous studies of hypoglycaemic medications among people on clozapine have shown reductions in HbA1c^38,39 although it is possible that our findings may reflect a Type-I error associated with multiple analyses.

Our results on NAFLD warrant further inquiry. Obesity and NAFLDs are often comorbid.⁴⁴ The rapid weight gain that can occur with clozapine commencement increases the risks of developing NAFLDs. NAFLD increases the risk of T2DM, cardiovascular disease, liver disease and chronic kidney disease.⁴⁵ If metformin can reduce clozapine-associated weight gain, it may also reduce the development of NAFLDs. This finding needs further exploration in future studies.

Rates of ADRs were not different between the placebo and metformin groups reflecting findings from previous studies in already obese patients taking stable doses of clozapine.²⁰ Our findings add further evidence that metformin is well tolerated among people with schizophrenia.

Our study had several significant limitations. First, due to the COVID-19 pandemic, we were not able to achieve our recruitment target, and as such, we were underpowered to undertake analysis for the primary outcome. With the smaller sample size, there were baseline differences between the metformin and placebo groups in terms of weight, BMI and waist circumference. It is unclear how the greater baseline BMI of the placebo group would have influenced the weight trajectory of the participants. Participants with lower baseline BMI, as in the metformin group, may have had greater opportunity for weight gain, although people with higher baseline BMI, as in the placebo group, may have had greater innate risk of further weight gain. Of note, the two participants with the greatest weight gain (one on placebo and one on metformin) both were in the normal weight range at baseline. We do not have genetic data to confirm whether these participants had variants of the LEP and/or HTR2C genes. The differences in baseline weight and BMI between the groups meant we had to change our pre-published planned primary analysis outcome from difference between groups on endpoint weight to difference between groups on change in weight. Using repeated measures analysis with two-way analysis of variance yielded the same statistical significance irrespective of whether change or endpoint data are used. When there are baseline differences in weight between intervention and control groups, the magnitude of differences between intervention and control groups on endpoint weight can be more challenging to interpret than change in weight. We did not have data on prior antipsychotic and dose for the full 6 months before commencing clozapine, and as such, were unable to include this as co-variate in the analysis. Although the collection of the variables required for calculating NAFLD and FIB-4 Scores was described into our published study protocol, we overlooked specifically mentioning NAFLD and FIB-4.

Even prior to the premature closure of recruitment, we found that one of the challenges in recruitment was the high rate of use of metformin among people with schizophrenia, in the absence of T2DM. This may reflect influence of the ongoing research on metabolic disorders among people on antipsychotics undertaken by our group on the clinical services in which we are embedded.

In conclusion, while there are significant limitations related to the small sample size, our findings are consistent with previous findings from observational studies, suggesting that metformin co-commencement with clozapine may reduce risk of clinically significant weight gain, without significant risk of ADRs. The risks and benefits of metformin should be discussed with patients and their carers for consideration of co-commencement at time of clozapine initiation. Further studies are required to confirm this result prior to a formal recommendation for routine co-commencement of metformin with clozapine.

Supplemental Material

sj-docx-1-tpp-10.1177_20451253211045248 – Supplemental material for CoMET: a randomised controlled trial of co-commencement of metformin versus placebo as an adjunctive treatment to attenuate weight gain in patients with schizophrenia newly commenced on clozapine

Supplemental material, sj-docx-1-tpp-10.1177_20451253211045248 for CoMET: a randomised controlled trial of co-commencement of metformin versus placebo as an adjunctive treatment to attenuate weight gain in patients with schizophrenia newly commenced on clozapine by Dan Siskind, Anthony W. Russell, Shuichi Suetani, Dylan Flaws, Steve Kisely, Vikas Moudgil, Korinne Northwood, Gail Robinson, James G. Scott, Terry Stedman, Nicola Warren, Karl Winckel, Peter Cosgrove and Andrea Baker in Therapeutic Advances in Psychopharmacology

Footnotes

Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Funding

The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: D.S. and this clinical trial were supported in part by an NHMRC Early Career Fellowship (grant no. GNT1111136 (2016–2019)). This trial was also supported in part by the 2018 Society for Mental Health Research Early Career Researcher Project Grant Scheme. D.S. is supported in part by an NHMRC Emerging Leadership Fellowship (grant no. 1194635 (2021–2025)). S.S. is on Seqirus advisory board.

ORCID iD

Dan Siskind

Supplemental material

Supplemental material for this article is available online.

References

Oakley

Kisely

Baxter

, et al. Increased mortality among people with schizophrenia and other non-affective psychotic disorders in the community: a systematic review and meta-analysis. J Psychiatr Res 2018; 102: 245–253.

Lawrence

Hancock

Kisely

The gap in life expectancy from preventable physical illness in psychiatric patients in Western Australia: retrospective analysis of population based registers. BMJ 2013; 346: f2539.

Pillinger

Beck

Gobjila

, et al. Impaired glucose homeostasis in first-episode schizophrenia: a systematic review and meta-analysis. JAMA Psychiatry 2017; 74: 261–269.

Firth

Siddiqi

Koyanagi

, et al. The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness. Lancet Psychiatry 2019; 6: 675–712.

Stubbs

Firth

Berry

, et al. How much physical activity do people with schizophrenia engage in? a systematic review, comparative meta-analysis and meta-regression. Schizophr Res 2016; 176: 431–440.

Mitchell

Vancampfort

Sweers

, et al. Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders – a systematic review and meta-analysis. Schizophr Bull 2013; 39: 306–318.

Siskind

Orr

Sinha

, et al. Rates of treatment-resistant schizophrenia from first-episode cohorts: systematic review and meta-analysis. Br J Psychiatry. Epub ahead of print 11 May 2021. DOI: 10.1192/bjp.2021.61.

Howes

McCutcheon

Agid

, et al. Treatment resistant schizophrenia: Treatment Response and Resistance in Psychosis (TRRIP) working group consensus guidelines on diagnosis and terminology. Am J Psychiatry 2017; 174: 216–229.

Siskind

McCartney

Goldschlager

, et al. Clozapine v. First-and second-generation antipsychotics in treatment-refractory schizophrenia: systematic review and meta-analysis. Br J Psychiatry 2016; 209: 385–392.

10.

Land

Siskind

McArdle

, et al. The impact of clozapine on hospital use: a systematic review and meta-analysis. Acta Psychiatr Scand 2017; 135: 296–309.

11.

Vermeulen

van Rooijen

van de Kerkhof

, et al. Clozapine and long-term mortality risk in patients with schizophrenia: a systematic review and meta-analysis of studies lasting 1.1-12.5 years. Schizophr Bull 2019; 45: 315–329.

12.

Siskind

Harris

Phillipou

, et al. Clozapine users in Australia: their characteristics and experiences of care based on data from the 2010 National Survey of High Impact Psychosis. Epidemiol Psychiatr Sci 2017; 26: 325–337.

13.

Siskind

Kisely

Balancing body and mind: selecting the optimal antipsychotic. Lancet 2019; 394: 900–902.

14.

Rosenbaum

Tiedemann

Sherrington

, et al. Physical activity interventions for people with mental illness: a systematic review and meta-analysis. J Clin Psychiatry 2014; 75: 964–974.

15.

Strassnig

Caceda

Newcomer

, et al. Cognitive deficits, obesity and disability in schizophrenia. Translat Neurosci 2012; 3: 345–354.

16.

Roerig

Steffen

Mitchell

JE.

Atypical antipsychotic-induced weight gain. CNS Drugs 2011; 25: 1035–1059.

17.

Suetani

Siskind

Reichhold

, et al. Genetic variants impacting metabolic outcomes among people on clozapine: a systematic review and meta-analysis. Psychopharmacology 2017; 234: 2989–3008.

18.

Mayfield

Siskind

Winckel

, et al. Glucagon-like peptide-1 agonists combating clozapine-associated obesity and diabetes. J Psychopharmacol 2016; 30: 227–236.

19.

Coll

Chen

Taskar

, et al. GDF15 mediates the effects of metformin on body weight and energy balance. Nature 2020; 578: 444–448.

20.

Siskind

Leung

Russell

, et al. Metformin for clozapine associated obesity: a systematic review and meta-analysis. PLoS One 2016; 11: e0156208.

21.

Spokes

Hollingworth

Winckel

, et al. Metformin reduces 12-month change in body weight among people newly commenced on clozapine: a retrospective naturalistic cohort study. Ther Adv Psychopharmacol 2021; 11.

22.

Cooper

Reynolds

Barnes

, et al. BAP guidelines on the management of weight gain, metabolic disturbances and cardiovascular risk associated with psychosis and antipsychotic drug treatment. J Psychopharmacol 2016; 30: 717–748.

23.

Siskind

Friend

Russell

, et al. CoMET: a protocol for a randomised controlled trial of co-commencement of METformin as an adjunctive treatment to attenuate weight gain and metabolic syndrome in patients with schizophrenia newly commenced on clozapine. BMJ Open 2018; 8: e021000.

24.

Therapeutic Goods Administration. Product information apo metformin XR product and consumer medicine information, https://www.ebs.tga.gov.au/ebs/picmi/picmirepository.nsf/pdf?OpenAgent&id=CP-2013-PI-01440-1 (accessed 7 September 2021).

25.

Desilets

Dhakal-Karki

Dunican

KC.

Role of metformin for weight management in patients without type 2 diabetes. Ann Pharmacother 2008; 42: 817–826.

26.

Levine

Schooler

SAFTEE: a technique for the systematic assessment of side effects in clinical trials. Psychopharmacol Bull 1986; 22: 343–381.

27.

World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva, 8-11 December 2008, 2011, https://www.who.int/publications/i/item/9789241501491.

28.

Pickering

Hall

Appel

, et al. Recommendations for blood pressure measurement in humans and experimental animals. Circulation 2005; 111: 697–716.

29.

Dyson

Anstee

McPherson

Non-alcoholic fatty liver disease: a practical approach to diagnosis and staging. Frontline Gastroenterol 2014; 5: 211–218.

30.

Sterling

Lissen

Clumeck

, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology 2006; 43: 1317–1325.

31.

White

Whisenhunt

Williamson

, et al. Development and validation of the food-craving inventory. Obes Res 2002; 10: 107–114.

32.

Kay

Fiszbein

Opfer

LA.

The Positive and Negative Syndrome Scale (PANSS) for schizophrenia. Schizophrenia Bulletin 1987; 13: 261–276.

33.

Jones

Thornicroft

Coffey

, et al. A brief mental health outcome scale-reliability and validity of the Global Assessment of Functioning (GAF). Br J Psychiatry 1995; 166: 654–659.

34.

Spitz

Kanani

Change in HbA1c as a measure of quality of diabetes care. Diabetes Care 2006; 29: 1184–1185.

35.

Ting

RZ-W

Szeto

Chan

MH-M

, et al. Risk factors of vitamin B(12) deficiency in patients receiving metformin. Arch Intern Med 2006; 166: 1975–1979.

36.

Williamson

Bray

Ryan

DH.

Is 5% weight loss a satisfactory criterion to define clinically significant weight loss?

Obesity 2015; 23: 2319–2320.

37.

R-R

Zhao

J-P

Guo

X-F

, et al. Metformin addition attenuates olanzapine-induced weight gain in drug-naive first-episode schizophrenia patients: a double-blind, placebo-controlled study. Am J Psychiatry 2008; 165: 352–358.

38.

Baptista

Martínez

Lacruz

, et al. Metformin for prevention of weight gain and insulin resistance with olanzapine: a double-blind placebo-controlled trial. Can J Psychiatry 2006; 51: 192–196.

39.

Faulkner

Cohn

Remington

, et al. Body mass index, waist circumference and quality of life in individuals with schizophrenia. Schizophr Res 2007; 90: 174–178.

40.

Young

Praskova

Hayward

, et al. Attending to physical health in mental health services in Australia: a qualitative study of service users’ experiences and expectations. Health Soc Care Community 2017; 25: 602–611.

41.

Global BMI Mortality Collaboration, Di Angelantonio

Bhupathiraju

, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet 2016; 388: 776–786.

42.

Flegal

Kit

Orpana

, et al. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA 2013; 309: 71–82.

43.

McWhinney

Kolenic

Franke

, et al. Obesity as a risk factor for accelerated brain ageing in first-episode psychosis – a longitudinal study. Schizophr Bull. Epub ahead of print 3 June 2021. DOI: 10.1093/schbul/sbab064.

44.

Angulo

Obesity and nonalcoholic fatty liver disease. Nutr Rev 2007; 65(Suppl. 1): S57–S63.

45.

Byrne

Targher

NAFLD: a multisystem disease. J Hepatol 2015; 62: S47–S64.

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