Guide · CGM

How to read a 14-day CGM report

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The short answer

Check how many days the sensor recorded, then read three numbers: average glucose, time in the target range and glucose variability. Then open the days and meals behind them to find the pattern. Vively’s default target is 4–6 mmol/L and you can set a different one for each client. A CGM report shows patterns to talk through with your client. It doesn’t diagnose diabetes.

What a 14-day sensor gives you

Vively posts the sensor and a protective patch to your client, usually within 2–3 business days, and helps them pair it with the Vively app. For the next 14 days it records glucose around the clock. Your client logs meals, workouts, water and sleep in the same app, so every reading sits next to what they were doing.

Once your client shares their data, it appears in their record under Glucose, with the day-by-day detail in Day view and Meals.

The Glucose overview in a Vively client record: sensor status, recorded days, sensor history, average glucose, glucose variability and time in target range, each on a range bar, beside the average glucose profile by time of day
Demonstration data The Glucose overview: sensor status, the three headline numbers and the average glucose profile by time of day.

1. Check the data is complete

The top of the Glucose page shows the sensor’s status and how many days it recorded. Fourteen recorded days give you weekdays, weekends and a good spread of meals. If several days are missing, treat the averages with care and lean on the days you have. You can also change the date range to look at part of the period.

2. Read the three headline numbers

NumberWhat it tells youHow Vively shows it
Average glucoseYour client’s overall glucose level across the sensor period, in mmol/L.Beside the client’s target range
Time in target rangeThe share of readings inside the target. Higher means more of the day was spent in range.A percentage, using the client’s target (4–6 mmol/L by default)
Glucose variabilityHow much glucose swings around its average. Lower means steadier glucose.The coefficient of variation: the standard deviation divided by the average, as a percentage

Each number sits on a range bar with its target, so you can see at a glance how far it is from where you’d like it. The average glucose profile underneath shows a typical day: what glucose usually does overnight, after breakfast and through the afternoon.

Published CGM targets are written for people with diabetes. The international consensus uses a much wider range, 3.9–10 mmol/L, aims for more than 70% of readings in it, and treats variability of 36% or less as stable. Vively’s 4–6 mmol/L default is a narrower educational target, so its time-in-range figure isn’t comparable with those numbers.

3. Find the pattern behind the numbers

Below the overview, Notable glucose events lists the biggest spikes and dips in the period, with the peak or low, the change from baseline, how long it lasted and what your client logged at the time. Open an event to see the whole day. Underneath, three summaries show average fasting glucose, how many elevated events there were, and time in range split into below, in and above target.

Notable glucose events table with date, spike or dip, peak, change, duration and context such as the meal eaten, above summaries for average fasting glucose, elevated events and time in range
Demonstration data Notable events with their context, plus fasting glucose, elevated events and time in range.

Day view shows a one-day or three-day glucose chart with your client’s meals, workouts, water and sleep marked on the same timeline. That day’s average glucose, overnight fasting window and time in target sit above the chart. Select a marker to open the matching log.

Day view glucose chart for one day with the client’s 4–6 mmol/L target band, coloured excursions and meal markers, under the day’s average glucose, fasting window and time in target
Demonstration data Day view: one day of glucose with meal markers, against the client’s target band.

Look at when glucose rises and how long it takes to come back: after particular meals, overnight, first thing in the morning and around exercise. One unusual day matters less than a pattern that repeats.

4. Look at individual meals

Meals lists every logged meal with its photo, ingredients, estimated energy and macros, and the two-hour glucose response with its peak rise. Compare meals your client eats often, such as two breakfasts with different amounts of protein or fibre. You can add a comment to any meal, and your client sees it on that meal in their app.

Meals list for one day: each meal shows a photo, time, ingredients, energy, protein, carbs, fat and fibre, and a two-hour glucose response curve with its peak rise
Demonstration data Meals: each logged meal with its macros and two-hour glucose response.

5. Agree on a change, then measure again

Pick one or two changes with your client rather than a long list. If the default target doesn’t suit them, set a client-specific target range. It updates in their app too and never changes the raw readings.

After the next sensor, open the sensor history to compare two to four sensor periods, lined up by sensor day, with the average, time in target and variability for each. You can also export a practitioner report for any sensor as a PDF.

Compare sensor periods: two sensors selected, their daily averages overlaid on a day 1 to 14 chart, with each period’s average glucose, time in target and variability
Demonstration data Comparing two sensor periods, lined up by sensor day.

Read it with blood tests

CGM shows what happens day to day. HbA1c reflects average glucose over the past two to three months, and fasting insulin and HOMA-IR show how hard the body is working to keep glucose steady. The Baseline Health Check includes HbA1c and fasting glucose, plus fasting insulin and HOMA-IR when the GP includes fasting insulin, so you can see both views in the same client record.

Keep in mind

  • A CGM measures glucose in the fluid around cells, so readings run a little behind blood glucose
  • Look for patterns across days rather than reacting to a single reading
  • If your client has diabetes or takes glucose-lowering medicine, involve their GP or diabetes team before changing anything

Sources

  1. Battelino T, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the International Consensus on Time in Range. Diabetes Care 2019;42(8):1593–1603

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