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Diagnostic Programme

Continuous
Glucose Monitoring
at AEOM

Two weeks of real-time glucose data — the most actionable wellness test most people will ever run

Standard bloodwork tells you your average glucose over three months (HbA1c) — but averages hide what actually matters: how your body responds to specific foods, meals, stress, sleep, exercise and timing. Continuous Glucose Monitoring (CGM) shows you all of that, in real time, for two weeks. For most patients dealing with energy, weight, sleep or metabolic concerns, it's the single most behavioural-change-inducing piece of data they'll ever have on themselves.

Key facts strip:

  • £495 — 14-day CGM Programme with clinical interpretation
  • Wearable sensor, smartphone-based, no needles after fitting
  • Includes initial consultation and full results review
  • Suitable for non-diabetic wellness use, weight, energy, sleep, performance
From

£495

Downtime

None

Session

30 min

Areas

Face · Neck · Body

Results

12–18 months

Introduction

Glucose monitoring,
properly contextualised

Continuous Glucose Monitoring was developed for people living with diabetes — a way to track blood glucose continuously rather than relying on intermittent finger-prick tests. Over the past five years, it's moved into wellness use: non-diabetic patients using CGM to understand their own glucose response to food, exercise, sleep, stress and lifestyle factors. The clinical evidence base for non-diabetic CGM use is still developing, but the practical value for most patients is significant — and the behaviour change that follows is often more impactful than the data itself.

The premise is straightforward. A small sensor (about the size of a 2p coin) sits on the back of your upper arm for 14 days, measuring glucose in the interstitial fluid every 1–5 minutes. The data syncs to your smartphone, producing a continuous trace of your glucose patterns throughout the day and night. You see what happens when you eat porridge versus eggs for breakfast, when you skip lunch, when you exercise in the morning versus the evening, when you sleep poorly, when you drink alcohol, when you're stressed.

For most patients, the results genuinely change behaviour. Foods you assumed were healthy turn out to spike your glucose dramatically; foods you assumed were problematic turn out to be fine for you specifically; meal timing reveals patterns you'd never noticed; the relationship between your sleep and your glucose response the following day becomes visible.

CGM is at its most valuable when paired with clinical interpretation — knowing what to look for, what's normal, what's concerning, and what changes are actually worth making. That's the AEOM offering: a structured 14-day programme combining the technology, the clinical context, and the conversation that turns data into change.

HOW IT WORKS

The technology, briefly

A CGM sensor uses a tiny flexible filament inserted just under the skin (1–2mm into the subcutaneous tissue) to measure glucose in the interstitial fluid. The measurement isn't painful — most patients describe a brief moment of pressure during fitting, then no sensation throughout the 14 days. The sensor stays in place with a strong adhesive and is water-resistant (showering, swimming, exercise are all fine).

Data syncs to your smartphone via a dedicated app — typically every 5 minutes by default, with the option to scan the sensor with your phone for an instant reading. The app shows:

  • Current glucose value and trend (rising, stable, falling)
  • 24-hour glucose trace showing patterns through the day and overnight
  • Time in range — percentage of time within healthy glucose targets
  • Glucose response patterns to specific meals, exercise, stress events
  • Overnight glucose stability — a major and underappreciated marker of metabolic health

The platforms we use:

CGM is delivered through one of the major consumer/clinical platforms — typically Lingo (Abbott), Veri, Levels, or FreeStyle Libre 3 depending on availability and clinical fit. All deliver clinical-grade glucose data; the differences sit in app design, data presentation and integration with broader health tracking. We'll select the right platform for you at consultation.

What CGM measures and what it doesn't:

CGM measures interstitial glucose continuously and reliably. It doesn't directly measure insulin response, blood pressure, lipids, inflammation, hormonal patterns or other metabolic markers — though glucose patterns often correlate strongly with these. For comprehensive metabolic assessment, we combine CGM with bloodwork (HbA1c, fasting insulin, lipid panel) — which together provide a meaningfully complete picture.

WHO IT'S FOR

Who CGM is right for

The CGM Programme is appropriate for non-diabetic wellness use. For patients with diagnosed Type 1 or Type 2 diabetes, CGM is typically managed through NHS or specialist diabetes care — not wellness CGM — and we'd refer you appropriately.

CGM is well-suited if you are:

N

Dealing with stubborn weight that hasn't responded to standard dietary approaches

N

Experiencing post-meal energy crashes, afternoon slumps, brain fog

N

Diagnosed with or concerned about pre-diabetes (HbA1c 39–47 mmol/mol / 5.7–6.4%)

N

Pre-diabetic on family history — strong family history of Type 2 diabetes, particularly if you're South Asian, African Caribbean, Middle Eastern or other ethnic background with elevated diabetes risk

N

Perimenopausal or menopausal and noticing changes in weight, energy or food tolerance

N

A serious athlete or active patient optimising fuelling around training

N

On GLP-1 medication (Ozempic, Wegovy, Mounjaro) and wanting to understand glucose response within reduced appetite

N

Experiencing poor sleep and wanting to understand the bidirectional relationship between sleep and glucose

N

Interested in longevity work and want metabolic baseline as part of broader picture

N

A patient who responds well to data — patients who change behaviour in response to objective feedback typically get the most from CGM

N

Curious to understand how your own body responds to specific foods, timing, stress and lifestyle factors

CGM may not be the right test if you:

K

Have Type 1 or Type 2 diabetes — your CGM use should be managed through diabetes care pathways, not wellness

K

Don't respond to data — patients who know what they should do but don't change in response to evidence may not get value

K

Are prone to disordered eating or have history of eating disorder — glucose-watching can amplify problematic patterns; we'd discuss honestly at consultation and may recommend not proceeding

K

Have severe needle phobia affecting sensor insertion (though most patients tolerate it well)

K

Are pregnant — CGM is generally safe in pregnancy but typically managed through obstetric care if relevant

K

Want CGM purely for biohacking trends without clinical context — we'd encourage thinking about what you're actually hoping to learn before committing

A note on disordered eating: glucose data can become a fixation for patients prone to dietary obsession or restriction. We'll discuss your relationship with food at consultation and may recommend not proceeding if CGM is likely to amplify problematic patterns.

WHAT TO EXPECT

Before, during the 14 days, and after

Before

Initial Consultation (30 minutes)

You attend AEOM for a brief consultation reviewing:

  • Your medical history, current medications and supplements
  • What you're hoping to learn from CGM
  • Your current eating patterns, sleep, exercise and lifestyle context
  • Any concerns or specific situations you want to capture during the 14 days
  • The sensor fitting and the app setup

The sensor is fitted to the back of your upper arm during this visit — a 30-second process that most patients describe as a brief moment of pressure rather than pain. The app is set up on your phone and the first glucose readings start within an hour.

During

During the 14 Days

You live normally. The sensor records continuously, syncing to your smartphone throughout the day and night.

What we encourage you to do:

  • Log meals in the app (or take photos) for the first week — this is what makes the data interpretable later
  • Note specific events — a stressful meeting, a poor night's sleep, an intensive workout, a heavy dinner out
  • Test specific questions — if you've always wondered whether porridge spikes you more than eggs, eat porridge one morning and eggs the next, and compare
  • Don't change your behaviour dramatically in the first 7 days — we want baseline data showing what your real life looks like, not your "test week" behaviour
  • Then experiment in the second week — adjust meal composition, timing, or order based on what week 1 showed

What we don't recommend:

  • Constant glucose-checking. The data is valuable as patterns, not as a moment-to-moment number to react to
  • Aggressive carb restriction to "look good" on the data — this defeats the purpose
  • Comparing your numbers obsessively against influencer claims about "optimal" glucose levels — context matters and the science around optimal ranges in non-diabetic populations is genuinely developing

After

Results Review Consultation (45 minutes)

At the end of the 14 days, we sit down for a structured review of the data. This is the most valuable part of the programme — turning the trace from "an interesting graph" into "specific changes worth making."

The results review covers:

  • Your time in range (percentage of time within healthy glucose targets)
  • Your average glucose and how it compares to your HbA1c
  • Glucose variability (often more clinically important than the average itself)
  • Specific meal responses — which foods spike you, which don't
  • Patterns in timing — breakfast vs lunch vs dinner responses, late-evening eating effects
  • Overnight glucose stability — a major marker of metabolic health
  • Stress, sleep and exercise effects on your specific glucose patterns
  • Recommendations — 3–5 specific, practical changes worth implementing

You leave with a written summary of findings (delivered by email within 48 hours), specific recommendations, and a clear sense of what — if anything — to do next.

WHAT YOU TYPICALLY LEARN

What patients commonly discover

Patterns we see frequently in CGM data:

Exercise effects

Walking for 10 minutes after a meal often produces meaningfully better glucose responses than the same meal without the walk. Resistance training and HIIT produce different patterns from steady-state cardio.

Stress effects

Cortisol drives glucose up. Stressful meetings, sleep deprivation, and chronic stress produce measurable glucose patterns even when food intake is identical. The data validates what most patients suspect.

Sleep effects

A poor night's sleep typically produces meaningfully worse glucose responses the following day — to the same meals you'd handle fine when rested. This bidirectional relationship (poor sleep → worse glucose → worse sleep) is one of the most important patterns CGM reveals.

Individual variability

Two people eating identical meals produce different glucose responses. This is one of CGM's most important findings — there are no universal "good" or "bad" foods; there are foods that work for you and foods that don't. Generic dietary advice is significantly less useful than personalised data.

"Healthy" foods that spike dramatically

Many foods marketed as healthy (granola, dried fruit, juice, certain "low-fat" yoghurts, oat milk drinks) produce significant glucose spikes in non-diabetic patients. The data shows this clearly and changes behaviour in a way that abstract advice doesn't.

Foods you'd assumed were problematic that aren't

Often, foods carrying a "carb-heavy" reputation (pasta, basmati rice, sourdough bread, some white potatoes) produce relatively modest responses in many patients — particularly when combined with protein and fat. The data is genuinely freeing for patients who've been over-restricting.

Timing effects

The same meal eaten at 8pm produces a meaningfully larger glucose response than at 1pm for most patients. Late-evening eating also disrupts overnight glucose stability — a major reason why late dinners affect sleep quality.

Meal composition effects

Eating protein and fat before carbohydrates (or with them, not separately) significantly blunts glucose responses. The simple act of starting a meal with the vegetable or protein component before the carbohydrate component changes the response curve dramatically.

We use CGM because patient outcomes are typically meaningful and the behavioural change it produces is real. We won't claim more than that.

THE HONEST PART

What CGM will and won't do

CGM is valuable — but the wellness industry has overclaimed what it does. Here's what's actually realistic.

CGM doesn't optimise everything.

Glucose is one input into metabolic health, not the whole picture. Patients chasing "flat glucose" obsessively often miss more important factors (protein adequacy, fibre intake, exercise, sleep, stress, hormonal context). Glucose data is most useful as a feedback loop, not a goal.

"Optimal" glucose ranges for non-diabetic patients are not firmly established.

Influencer claims about specific "optimal" post-meal numbers are typically not supported by published evidence. We work with broad principles — minimise large spikes, maintain reasonable time in range, prioritise overnight stability — without inventing precision that isn't there.

CGM doesn't directly measure insulin response.

Patients with insulin resistance may have relatively normal glucose patterns while running very high insulin. For comprehensive metabolic assessment, fasting insulin (via bloodwork) is genuinely important alongside CGM.

Data without behaviour change isn't useful.

The patients who get most value from CGM are those who actually adjust eating, timing or activity in response to findings. Patients who collect data and don't change get little benefit.

Two weeks is a snapshot.

Your data reflects your actual two weeks, not your full pattern. Travel, illness, unusual stress, or hormonal cycle phase all affect findings.

CGM can amplify food anxiety.

For patients prone to dietary obsession or restriction, glucose-watching can become problematic. We screen for this at consultation and may recommend not proceeding if appropriate.

The technology has limits.

Interstitial glucose lags blood glucose by 5–15 minutes; sensors occasionally fail and need replacement; very fast glucose changes (e.g. during exercise) may show artifacts. These limits are minor for most use cases but worth being aware of.

CGM COMPARED — HOW IT DIFFERS

CGM vs other metabolic assessments

CGM vs HbA1c (Standard Bloodwork)

HbA1c is a single number reflecting average glucose over approximately 3 months. It's an excellent screening test for diabetes and overall glycaemic status — but it hides variability. Two patients can have identical HbA1c with completely different glucose patterns (one stable, one wildly variable). CGM shows the pattern HbA1c averages out. They're complementary — HbA1c for screening, CGM for understanding.

CGM vs Direct-to-Consumer CGM (Lingo, Veri, Levels, Zoe)

Consumer CGM platforms make the technology accessible but typically don't include clinical interpretation. You receive an app, the sensor, app-based education, and varying levels of customer support — but no consultation with a clinician who knows your situation. AEOM's programme adds the clinical context, results review, integration with bloodwork and wider care, and follow-up where appropriate. For patients who want to experiment independently, consumer platforms are reasonable. For patients who want clinical context built in, AEOM's programme is more comprehensive.

CGM vs Zoe Programme

Zoe is the most established consumer metabolic programme in the UK — combining CGM, gut microbiome testing, fat response testing, and a structured app-based programme over multiple months. Zoe is genuinely useful for patients committed to a longer-term, app-led programme costing ~£300–£600 depending on inclusions. AEOM's CGM Programme is more focused (14 days, glucose only) with stronger clinical interpretation and integration with wider AEOM care. Different products for different patients — happy to discuss honestly at consultation.

CGM vs Fasting Insulin + Bloodwork

Fasting insulin is a critical underappreciated test — particularly for patients with normal fasting glucose but high insulin resistance. We can include fasting insulin in bloodwork (£55 add-on) — and we'd recommend doing so alongside CGM for the most complete metabolic picture. CGM shows your daily glucose pattern; fasting insulin shows whether your body is working unusually hard to maintain that pattern.

PRICING

CGM Programme pricing

Programme

Price

Includes

CGM Programme — 14 days

£495

Sensor, initial consultation, app setup, full 14 days of monitoring, 45-minute results review consultation, written summary

Extended CGM — 28 days

£795

Two consecutive sensors over 28 days, plus 2 review consultations

CGM + Comprehensive Wellness Panel

£695

14-day CGM plus Well Person bloodwork including HbA1c

CGM + Skin & Aesthetic Profile

£825

14-day CGM plus the AEOM Skin & Aesthetic Profile

Repeat CGM (within 12 months)

£395

Follow-up CGM with comparison to baseline

Klarna instalments available on programmes over £500, subject to approval.

As part of a Programme: CGM is included in:

  • Energy & Recovery Programme (£1,495) — 14-day CGM included for patients where metabolic patterns are relevant
  • Performance Optimisation (£1,295) — available as optional add-on
  • Regenerative Performance (£2,495) — 28-day extended CGM included

Membership: Optimisation Membership (£250/month) — annual CGM Programme included.

COMBINE WITH

Treatments that combine well
with CGM

CGM is significantly more valuable when paired with the interventions and data sources that contextualise findings.

CGM + Nutritionist Consultation

The most-used combination. CGM data identifies specific glucose responses; nutritionist consultation translates findings into structured, sustainable dietary change. Radhika's chef background means recommendations are practical, not just theoretical. Particularly powerful for patients with weight, energy or metabolic concerns.

CGM + Comprehensive Wellness Panel (DL8L)

HbA1c gives the 3-month average; CGM shows the live pattern; fasting insulin completes the metabolic picture. Together, the most complete metabolic baseline available short of specialist endocrine assessment.

CGM + Clinical Sleep Assessment

Zoe is the most established consumer metabolic programme in the UK — combining CGM, gut microbiome testing, fat response testing, and a structured app-based programme over multiple months. Zoe is genuinely useful for patients committed to a longer-term, app-led programme costing ~£300–£600 depending on inclusions. AEOM's CGM Programme is more focused (14 days, glucose only) with stronger clinical interpretation and integration with wider AEOM care. Different products for different patients — happy to discuss honestly at consultation.

CGM + Wearables Baseline Review

For patients already using Oura, Whoop, Apple Watch or Garmin, combining CGM data with HRV, sleep and recovery patterns from wearables produces a meaningfully complete daily picture. We'd integrate this in the results review.

CGM + Skin & Aesthetic Profile

Glycation is a major driver of skin ageing. For patients on Collagen Rebuild or Regenerative Lift, understanding individual glucose patterns identifies dietary factors affecting skin quality — informing both nutrition and skin treatment planning.

CGM + Performance Optimisation Programme

Athletes and active patients use CGM to optimise fuelling around training — what to eat before, during and after specific sessions; how to support overnight recovery; how to manage fuelling for endurance vs strength work.

CCGM + GLP-1 Medication Use

For patients on GLP-1 medications (Ozempic, Wegovy, Mounjaro), CGM shows how your glucose patterns shift during treatment — particularly useful for ensuring adequate fuelling within reduced appetite, and for managing post-treatment patterns when stopping medication.

Frequently asked questions

Will the sensor hurt?

Most patients describe a brief moment of pressure or a small pinch during fitting — over in under a second.
After fitting, the sensor produces no sensation; most patients forget they're wearing it within a few hours. If sensor pain persists beyond initial fitting, we'd remove and reposition; this is uncommon.

Can I shower, exercise or swim with the sensor on?

Yes — modern CGM sensors are designed to be water-resistant and exercise-compatible. Showers, swimming, gym sessions, sports — all fine. Some patients use an additional adhesive patch over the sensor for extra security during intense activity or swimming.

What if the sensor falls off?

Sensor adhesion is generally excellent, but occasionally a sensor can come loose — typically with very intense activity, very hot weather, or unusually sweaty conditions. If this happens, contact us; we'll replace the sensor (typically at no charge if it's within the first few days) to ensure you get the full 14 days of data.

Will CGM tell me if I have diabetes or pre-diabetes?

CGM provides strong indicative data — patterns of high glucose spikes, elevated fasting glucose, poor time in range can all suggest pre-diabetes or undiagnosed diabetes.

But formal diagnosis requires standardised testing (HbA1c, fasting glucose, oral glucose tolerance test) interpreted clinically. If CGM patterns suggest diabetes or pre-diabetes, we'd recommend appropriate diagnostic bloodwork and, where appropriate, referral to your GP or a diabetes specialist.

Is CGM actually evidence-based for non-diabetic use?

The honest answer is: the evidence is developing rather than fully established. CGM is genuinely evidence-based for diabetes management. For non-diabetic wellness use, the clinical evidence is growing but the published research is less mature. We use CGM because the patient outcomes — particularly behavioural change in response to data — are typically meaningful. We don't claim more than the evidence supports.

What's "optimal" glucose for a non-diabetic person?

This is more contested than influencer content suggests. Broadly, current thinking is that maintaining glucose mostly between 3.9–7.8 mmol/L (70–140 mg/dL), with minimal time above 10 mmol/L (180 mg/dL), aiming for spikes under 30–40 mg/dL (1.7–2.2 mmol/L) above baseline is reasonable. But specific numbers vary by individual; the more useful question is "what's typical for you, and what changes that?" — which is what CGM shows.

Can I just use a consumer CGM (Lingo, Veri, Levels) on my own?

Yes — consumer CGM is increasingly accessible, and for patients comfortable interpreting data independently, it's a reasonable approach. AEOM's value-add is the clinical interpretation, the integration with bloodwork and wider care, and the structured consultation around findings. If you want CGM without consultation, consumer platforms are appropriate. If you want CGM as part of considered clinical care, AEOM is the right setting.

How many sensors do I get with the £495 programme?

One sensor lasting 14 days. Most modern CGM sensors (FreeStyle Libre 3, Lingo, Levels) are designed for a 14-day wear time. If you'd like 28 days of monitoring (capturing more variability — particularly useful around menstrual cycle effects or stress periods), the Extended CGM Programme provides two consecutive sensors.

Will my GP look at the CGM data?

With your consent, yes — we can share the data and our interpretation with your GP. This is particularly useful where CGM findings suggest pre-diabetes or undiagnosed metabolic dysfunction that should inform ongoing NHS care.

Can I use CGM if I'm pregnant?

CGM is generally safe in pregnancy. If you're pregnant or breastfeeding, we'd discuss timing and appropriateness at consultation — gestational diabetes screening pathways through your obstetric care may be more appropriate for clinical questions, with CGM as supplementary information rather than primary diagnostic.

Can I use CGM if I have a history of eating disorder?

This requires honest discussion. Glucose-watching can become problematic for patients prone to dietary obsession or restriction. We screen for this at consultation and may recommend not proceeding — or recommend doing CGM only with concurrent support from a relevant clinician. Patient wellbeing matters more than the data.

Can I share the data with my personal trainer or nutritionist outside AEOM?

Yes — the data is yours, and you're free to share with anyone you choose. If you're working with a trainer or nutritionist outside AEOM, we'd encourage coordinated interpretation rather than parallel advice; we can be involved in this conversation if useful.

What happens if I want to wear another sensor after the programme?

Several options. You can book a Repeat CGM Programme at AEOM (£395 within 12 months) for a follow-up assessment. You can transition to a consumer platform (Lingo, Veri, Levels) for ongoing self-monitoring at your own discretion. Or you can stop after the initial programme — many patients find the 14-day data gives them everything they needed and the behaviour change persists without ongoing monitoring.

Where is AEOM located?

Our clinic is at 116 Seymour Place in Marylebone, London.

Marylebone, Baker Street and Edgware Road stations are all under ten minutes on foot. Free street parking is available after 6.30pm, with paid bays on York Street nearby — daytime parking is reimbursed for treatments over £200. Treatments are by appointment only.

Ready to book CGM?

Continuous Glucose Monitoring is one of the most behaviour-changing single tests available in wellness — particularly when paired with proper clinical interpretation and integration into broader care. Book a CGM Programme, or speak to our team about how CGM fits into wider wellness pathways, programmes or membership.