am I the only one who found hypoglycaemia harder than the injections
Asking properly rather than in a comment on somebody else’s thread: am I the only one who found hypoglycaemia harder than the injections.
Sensor accuracy varies across wear, and readings on the first day are the least reliable. Calibration practice and compression artefacts explain many alarming single values.
Postprandial excursions flattened out first and the fasting number took months to follow. Nobody had told me to expect that order.
Certain conditions affect A1c independently of glycaemia. If a result looks inconsistent with the sensor data, that is a question for whoever manages your care rather than for this board.
Corrections welcome, especially the pedantic ones. Pedantry is how this board earns its reputation.
best — the order this archive was captured in
Left up. It distinguishes the sensor data from the lab result, which most posts here do not.
Agreed. A1c is an integrated average over roughly three months and treating it as a current reading causes a lot of unnecessary alarm.
A1c reflects average glycaemia over roughly the preceding three months, weighted towards the most recent weeks. It cannot show variability and it lags any change you make.
Is that a first-day sensor reading?
Push back: one sensor reading is not a data point worth acting on, especially in the first day of wear.
What else is in the regimen?
check the trial population before quoting a result at somebody
Are you quoting a diabetes trial or an obesity one?
Brought the whole CGM export to my appointment rather than one number. Entirely different conversation.
sensor accuracy varies and the first day of a sensor is the worst
Not convinced. Hypoglycaemia risk from this class alone is low; the risk you are describing comes from the combination.
CGM shows you the shape, A1c shows you the area
I would not compare your numbers to that population. Different baseline, different regimen, different trial.
Variability dropped before the average did, which was visible on the sensor and invisible on the lab result.
Variability dropped before the average did, which was visible on the sensor and invisible on the lab result.
Agreed, and the glucose-dependence point is the reason the risk profile reads the way it does.
hypoglycaemia risk depends far more on what else you take
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Small fix — insulin secretion in this class is glucose-dependent, which is precisely why the risk you describe comes from the other agent.
Correction: that trial is the diabetes programme and the figure you quoted is its glycaemic endpoint, not a weight result.
Continuous monitoring shows the shape: postprandial excursions, overnight behaviour and time in range. Two people with identical A1c can have very different distributions.
This. Hypoglycaemia risk in this class is driven mostly by the other agents in the regimen.
Panicked over a first-day sensor reading and rebuilt my week around it. It was the sensor.
Assumed the weight endpoints from the obesity trials applied to my situation. They are different programmes.
- 1Push back: one sensor reading is not a data point worth acting on,…8 comments in this branch · started by u/marta_weiss