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    • 1 hour ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all technical advancements there are good things and bad things. The bad things (unforseen consequences) could be deadly like Hallucinations for the user, getting over doses of insulin. So, carefully thought out guard rails need to be developed and thoroughly tested. A good thing must be the accumulation of scenarios that KSannie mentioned. However it can not be completely autonomous. The current accuracy of Dex G7 and other sensors introduce error in to the calculations. This is similar to "self driving cars." The Robo taxi experiments have shown the unusual events that could become dangerous. Either audible situation commands or textual inputs like "goin to bed" or "driving" or "exercising" may be required at the beginning for a new user. As an example, after wearing my smart watch for a year now, it recognizes exercising without me having to tell it I'm exercising. This drives a more advanced and improved user interface. The other perceivable advantage might be accumulating changes over time, such as sicknesses, weight gain or loss, or changes in activity. Changes in food intake might be difficult to overcome. Something like "Under my Fork" app. Personally, I would like to see a reminder to bolis before eating! With all that said, we do we need all that? Probably not. Evolution of modified closed loop control may eliminate the need for AI control. The reality may be somewhere in-between the two.
    • 1 hour, 1 minute ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 1 hour, 1 minute ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Here's my concern. I've used AI when meeting new clients to take notes of my meetings while I'm talking with the client. Ostensibly, this frees me up from having to jot down notes while talking - allowing me to give my full attention to the conversation. (Very good benefit of AI) Then, when reviewing the notes, AI literally fabricated scenarios that weren't discussed (AI Hallucinations are a very bad side effect). Not knowing when AI will fabricate a fact pattern gives me great concern that AI will fabricate a glucose reading and then act on that hallucination. AI has great potential, but it's not ready yet.
    • 1 hour, 2 minutes ago
      kristina blake likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I’m uncomfortable not knowing when and when it isn’t being used, but I’m not sure why really. A “singer” named Benny Rivers popped up in one of my feeds. I really liked the music, until I found out it was a total AI fabrication. Then I was uncomfortable. Why? I felt “taken”, like someone pulled a fast one on me, pulled the wool over my eyes. I liked the music less then. I didn’t like that I couldn’t find a tour date, things like that. But I was most uncomfortable not truly understanding why it made me uncomfortable. The music was still enjoyable.
    • 2 hours, 37 minutes ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Having recently dealt with ongoing tech issues involving our heat and electrical-use notifications for more than six months — and it’s still not fully resolved — I’m not always a fan of too much technology. That said, I am interested in advances like the Twist Insulin Pump potentially detecting scar tissue or helping with infusion-site issues. But then reality kicks in: taking devices off for MRIs, replacing failed equipment, and navigating Medicare when it’s primary insurance can become a nightmare of paperwork and delays. And honestly, AI in some call centers has been pretty frustrating. Sometimes it feels like no one can answer a real-world question anymore. I think we should tread lightly and make sure technology actually makes life easier for people living with T1D — especially older adults who already manage enough complexity every day. Some days I think about a less stress free life and going back to a syringe and insulin. over 45 years of doing that, and now 25+ of devices, I'm tired of the challenges in getting replacements, and scar tissue, and mail order supplies and on and on.
    • 2 hours, 38 minutes ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all technical advancements there are good things and bad things. The bad things (unforseen consequences) could be deadly like Hallucinations for the user, getting over doses of insulin. So, carefully thought out guard rails need to be developed and thoroughly tested. A good thing must be the accumulation of scenarios that KSannie mentioned. However it can not be completely autonomous. The current accuracy of Dex G7 and other sensors introduce error in to the calculations. This is similar to "self driving cars." The Robo taxi experiments have shown the unusual events that could become dangerous. Either audible situation commands or textual inputs like "goin to bed" or "driving" or "exercising" may be required at the beginning for a new user. As an example, after wearing my smart watch for a year now, it recognizes exercising without me having to tell it I'm exercising. This drives a more advanced and improved user interface. The other perceivable advantage might be accumulating changes over time, such as sicknesses, weight gain or loss, or changes in activity. Changes in food intake might be difficult to overcome. Something like "Under my Fork" app. Personally, I would like to see a reminder to bolis before eating! With all that said, we do we need all that? Probably not. Evolution of modified closed loop control may eliminate the need for AI control. The reality may be somewhere in-between the two.
    • 2 hours, 39 minutes ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Sorry. I'm not sold on AI. I don't trust the people making it. There are too many reasons it could go wrong and be disasterous (just read the above comments). I'm not opposed to computers helping with things such as Control IQ, but when the computer starts doing the thinking, I think we've crossed the line. An aside: I've listened to AI music, and I think it sounds impersonal. It lacks a humanness. I don't find it pleasant to listen to. I've heard horror stories about AI being used by the military, with the end result being nuclear holocaust. I am a hard NO to AI. I gave it a "5".
    • 2 hours, 43 minutes ago
      Natalie Daley likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I am comfortable using AI as a helpful tool, while fully cognizant of hallucinatory tendencies. If I may paraphrase a famous writer about a week ago analyzing universities (as well as AI): “the over-intellectualized nature of academic culture—the idea that all inquiry should be depersonalized, dispassionate, data-driven, objective. Being a good person is more about having the right emotions, perceptions, and intentions toward others in the concrete circumstances of life than it is about logic-chopping games and dry dissertations.” 𐚁
    • 3 hours, 48 minutes ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 3 hours, 48 minutes ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 3 hours, 48 minutes ago
      Kathy Hanavan likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I am comfortable using AI as a helpful tool, while fully cognizant of hallucinatory tendencies. If I may paraphrase a famous writer about a week ago analyzing universities (as well as AI): “the over-intellectualized nature of academic culture—the idea that all inquiry should be depersonalized, dispassionate, data-driven, objective. Being a good person is more about having the right emotions, perceptions, and intentions toward others in the concrete circumstances of life than it is about logic-chopping games and dry dissertations.” 𐚁
    • 4 hours, 25 minutes ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Sorry. I'm not sold on AI. I don't trust the people making it. There are too many reasons it could go wrong and be disasterous (just read the above comments). I'm not opposed to computers helping with things such as Control IQ, but when the computer starts doing the thinking, I think we've crossed the line. An aside: I've listened to AI music, and I think it sounds impersonal. It lacks a humanness. I don't find it pleasant to listen to. I've heard horror stories about AI being used by the military, with the end result being nuclear holocaust. I am a hard NO to AI. I gave it a "5".
    • 4 hours, 26 minutes ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 4 hours, 29 minutes ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I believe that AI may very well become a great tool - but at this time it still makes too many errors for me to be confident in it.
    • 4 hours, 29 minutes ago
      John Barbuto likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Here's my concern. I've used AI when meeting new clients to take notes of my meetings while I'm talking with the client. Ostensibly, this frees me up from having to jot down notes while talking - allowing me to give my full attention to the conversation. (Very good benefit of AI) Then, when reviewing the notes, AI literally fabricated scenarios that weren't discussed (AI Hallucinations are a very bad side effect). Not knowing when AI will fabricate a fact pattern gives me great concern that AI will fabricate a glucose reading and then act on that hallucination. AI has great potential, but it's not ready yet.
    • 4 hours, 31 minutes ago
      Mike S likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Here's my concern. I've used AI when meeting new clients to take notes of my meetings while I'm talking with the client. Ostensibly, this frees me up from having to jot down notes while talking - allowing me to give my full attention to the conversation. (Very good benefit of AI) Then, when reviewing the notes, AI literally fabricated scenarios that weren't discussed (AI Hallucinations are a very bad side effect). Not knowing when AI will fabricate a fact pattern gives me great concern that AI will fabricate a glucose reading and then act on that hallucination. AI has great potential, but it's not ready yet.
    • 4 hours, 54 minutes ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      Sure, if you can call it a plan to flush with liquids and take electrolytes and insulin as needed.
    • 4 hours, 54 minutes ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      Inject. Inject. Inject. All other considerations are secondary, tertiary, or way down the list. Why would anyone ever rearrange the deck chairs on the Titanic? Might as well strike up the band to play Nearer My God to Thee!. ☹
    • 4 hours, 55 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 4 hours, 55 minutes ago
      Lawrence S. likes your comment at
      Do you have a management plan if you test positive for ketones? Please share more in the comments.
      It would depend on the symptoms and vary.
    • 4 hours, 56 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      I am comfortable using AI as a helpful tool, while fully cognizant of hallucinatory tendencies. If I may paraphrase a famous writer about a week ago analyzing universities (as well as AI): “the over-intellectualized nature of academic culture—the idea that all inquiry should be depersonalized, dispassionate, data-driven, objective. Being a good person is more about having the right emotions, perceptions, and intentions toward others in the concrete circumstances of life than it is about logic-chopping games and dry dissertations.” 𐚁
    • 4 hours, 57 minutes ago
      Lawrence S. likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      With all the deliberately misleading information out there, AI cannot discriminate. And, each patient is completely different in their rate of things like food digestion or insulin absorption. AI really is not up to this. And it cannot differentiate between highs due to stress of traveling, which go down as soon as I arrive, and highs due to illness, which can stay high for days, and gradually taper to normal at some variable rate. Once I was high due to illness, got better and then worse. I am afraid of getting too much insulin. It lasts 5 hours in the blood, including the basal amount. And the AI not being able to correct fast enough.
    • 4 hours, 57 minutes ago
      TEH likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      2 It already is. But needs to be checked occasionally. I don't want a person inside me every five minutes.
    • 5 hours, 1 minute ago
      KCR likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Here's my concern. I've used AI when meeting new clients to take notes of my meetings while I'm talking with the client. Ostensibly, this frees me up from having to jot down notes while talking - allowing me to give my full attention to the conversation. (Very good benefit of AI) Then, when reviewing the notes, AI literally fabricated scenarios that weren't discussed (AI Hallucinations are a very bad side effect). Not knowing when AI will fabricate a fact pattern gives me great concern that AI will fabricate a glucose reading and then act on that hallucination. AI has great potential, but it's not ready yet.
    • 5 hours, 6 minutes ago
      Lawrence S. likes your comment at
      How comfortable are you, on a scale of 1–5, with artificial intelligence (AI) being integrated into your diabetes technology?
      Here's my concern. I've used AI when meeting new clients to take notes of my meetings while I'm talking with the client. Ostensibly, this frees me up from having to jot down notes while talking - allowing me to give my full attention to the conversation. (Very good benefit of AI) Then, when reviewing the notes, AI literally fabricated scenarios that weren't discussed (AI Hallucinations are a very bad side effect). Not knowing when AI will fabricate a fact pattern gives me great concern that AI will fabricate a glucose reading and then act on that hallucination. AI has great potential, but it's not ready yet.
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    How important is the standard deviation (SD) measurement to you? (SD is a measure of a person’s variation in glucose readings)

    Home > LC Polls > How important is the standard deviation (SD) measurement to you? (SD is a measure of a person’s variation in glucose readings)
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    If you have at least one diabetes-related complication, for how many years had you been living with T1D when you were diagnosed with the first complication?

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    If you wear an insulin pump, which of the following factors best describe when you will get a new pump (assuming your current pump still works)? Select all that apply!

    Sarah Howard

    Sarah Howard has worked in the diabetes research field ever since she was diagnosed with T1D while in college in May 2013. Since then, she has worked for various diabetes organizations, focusing on research, advocacy, and community-building efforts for people with T1D and their loved ones. Sarah is currently the Senior Marketing Manager at T1D Exchange.

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    " At T1D Exchange, we’re proud to announce our Medical and Research Advisory Team — an accomplished group of leaders in endocrinology, research, and quality improvement. Together, they are redefining what’s possible in type 1 diabetes (T1D) care through rigorous data analysis, innovative research approaches, and real-world implementation. Their collective expertise is central to our mission of improving outcomes for all people living with T1D.  “We’re excited to be working with our advisors given their deep expertise across a broad range of areas in T1D,” said Dave Walton, CEO of T1D Exchange. “Their involvement magnifies our reach, knowledge, and impact. These advisors are shaping the future of diabetes care — driving innovation across research, clinical practice, and quality improvement.”    Meet the Medical & Research Advisory Team  The T1D Exchange Medical and Research Advisory Team brings together four leading endocrinologists, each offering a unique perspective and shared commitment to advancing T1D care:    Jenise Wong, MD, PhD Pediatric endocrinologist at UCSF Benioff Children’s Hospital and Professor of Pediatrics in the Division of Endocrinology at the University of California, San Francisco Focus areas: Diabetes technology adoption and usability; health equity and access to care and technology; community-based and peer-support interventions; culturally responsive care          Jennifer Sherr, MD, PhD Pediatric endocrinologist at Yale Medicine and Professor of Pediatrics in the Division of Endocrinology at Yale School of Medicine in New Haven, Connecticut Focus areas: Clinical trials in diabetes technology (CGM and AID systems), disease-modifying treatments and immunotherapies, and emerging technologies and medications, including continuous ketone monitoring and nasal glucagon     Viral Shah, MD Adult endocrinologist at Indiana University Health and Professor of Medicine in the Division of Endocrinology and Metabolism at Indiana University School of Medicine in Indianapolis, Indiana Focus areas: Diabetes technology and adjunctive therapy trials; translational and data-driven research; T1D complications and bone health         Nestoras Mathioudakis, MD, MHS Adult endocrinologist at Johns Hopkins Medicine and Associate Professor of Medicine at Johns Hopkins University School of Medicine in Baltimore, Maryland Focus areas: AI-driven clinical support tools; EMR-based data analytics for clinical decision making; data-driven quality improvement; health equity in T1D care        This accomplished team’s expertise spans adult and pediatric endocrinology, research, and quality improvement affiliated with leading institutions nationwide. Collectively, they have authored over 500 diabetes publications and secured research funding from organizations such as the National Institutes of Health, Helmsley Charitable Trust, the American Diabetes Association, and Breakthrough T1D — while remaining actively engaged in both clinical care and research.  “These individuals represent an impressive body of work while remaining deeply involved in the day-to-day realities of diabetes care,” said Walton. Their expertise covers the full spectrum of T1D care — from AI and predictive analytics to complication prevention, automated insulin delivery, continuous glucose and ketone monitoring, GLP-1 treatments, health equity, mental health, autoantibody screening, and disease prevention.    Turning insight into impact  The team’s work goes beyond research, focusing on translating insights into real-world practice. By leveraging data to scale best practices, the goal is to drive meaningful, measurable change across clinics and communities.  “Our advisors will help to extend our impact — whether through QI strategy, research innovation, funding opportunities, or new data-driven solutions,” said Walton. “We want to take what’s working at individual centers and spread that as broadly as possible.”   He added, “As a Collaborative, we’re also focused on advanced population health strategies such as exploring predictive data models to identify risks earlier and intervene before complications even begin to happen.”    The power of the T1D Exchange Quality Improvement Collaborative  Central to this work is the T1D Exchange Quality Improvement Collaborative (T1DX-QI) — a nationwide network of clinics working together to improve care through shared data, benchmarking, and evidence-based practices.  “I’m thrilled to serve as a Medical Advisor for T1D Exchange, because I’ve seen firsthand the impact this network can have on patient care,” said Dr. Nestoras Mathioudakis. “T1D Exchange is the premier organization for quality improvement in type 1 diabetes, with unparalleled assets like a large EHR database and robust patient registry.”  He added that he is excited to apply his expertise in EHR research and big data analytics to generate real-world evidence across diagnosis, management, and outcomes.  Dr. Viral Shah echoed that perspective, reflecting on T1DX-QI's evolution: “I have been involved with T1D Exchange since its early days and have had the privilege of witnessing how it has transformed the quality of diabetes care across the United States. I’m delighted to return as a Medical Advisor.”  He emphasized the importance of accelerating impact. “I look forward to working closely with the team to accelerate the evidence generation and to help translate these insights to improve patient care.”   Dr. Jenise Wong highlighted the visible impact of T1DX-QI on the delivery of care. "I’m truly honored and grateful to be working with T1D Exchange as a Medical Advisor. 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    26 Comments

    1. TomH

      SD is a helpful additional measurement in determining how well the TIR reflects BG control. I monitor both on a routine basis.

      2
      5 years ago Log in to Reply
    2. Henry Renn

      Use close guidance of Endo.

      5 years ago Log in to Reply
    3. Lawrence Stearns

      It’s not a measurement that I see that often. But, I know that it’s a good measurement to tell me whether I am staying within my range. If I am going above and below my safe range, my SD will be high. Best to keep the SD low.

      1
      5 years ago Log in to Reply
    4. ConnieT1D62

      Important enough that it let’s me see rise and fall of random overall BG patterns. However, quite frankly I generally don’t pay all that much attention to it because I have learned to trust the Tandem CIQ w/Dexcom G6 integrated system. My TIR is pretty spot on at ~ 88 to 92%.

      3
      5 years ago Log in to Reply
    5. Bill Williams

      It’s very similar to TIR but far more difficult to explain to most people.

      2
      5 years ago Log in to Reply
      1. kristina blake

        Oh yeah…just think back to statistics classes! Fortunately I upload my TSlim/Dexcom every month and get a nice visual of the range between my high’s and low’s.

        1
        5 years ago Log in to Reply
    6. Sahran Holiday

      Thank you for this question. Have often questioned A1cs because I have so many lows. Multiple endocrinologists and ophthalmologists and primary care have all convinced me after 3+ years to lower basal rate and some bolus calculations. Last A1c preadjustment was 5.6, too many lows. Next one coming up. I’ll ask endocrinologist’s assistance in calculation SD.

      5 years ago Log in to Reply
    7. M C

      It’s ‘important’, but I’m already doing the best I can, and as long as it’s reasonable, and I know why things vary, I’m content. Can’t say it’s ‘very important’ because it’s not – I can’t stress over something further that I know I’m already doing my best to keep in control.

      2
      5 years ago Log in to Reply
    8. Linda Murphy

      Never heard of it. Imagine its something I can see just by looking at CGM graph.

      5 years ago Log in to Reply
    9. Abigail Elias

      Time in range is much more important and may be replacing the value of an SD measurement.

      5 years ago Log in to Reply
      1. Bill Marston

        TIR “replacing” SD? – insufficient and not fully accurate, I think the common data will show. They are NOT the same, not mutually exclusive. Like saying tire pressure is so much more important than tire tread or roadway condition or steering stabilization … NONE of which replace another (except drunkenness or inebriation, just as gross operator error is 100% more important in prevention or can be held 99% causative in a crash).

        5 years ago Log in to Reply
    10. Dave Barden

      I don’t like having to scroll past all these articles to get to question I’m trying answer. Please put the question back at the top.

      1
      5 years ago Log in to Reply
    11. Ernie Richmann

      The more information I have, the better chance I have of best possible control.

      5 years ago Log in to Reply
    12. Julie Akawie

      It is conceptually important to me but, in truth, after 50 years of this disease and now hormonal changes, I am struggling most days to keep my bG below 200. 🙁

      2
      5 years ago Log in to Reply
      1. KarenM6

        Me too, Julie!
        This makes me wonder if there have been any studies done to try and help in this area!

        5 years ago Log in to Reply
    13. TEH

      SD woud be important to gauge the response of a true closed loop system. Since current CGM is not true closed loop it’s pretty much irrelevant.
      My SD is lilrly very large because my SG rings like a bell after I get up until I go to bed. Right now, TIR is what I watch. Even that has a large variation 92% to 56% from day to day.

      5 years ago Log in to Reply
      1. Bill Marston

        Even when you refer to a true closed-loop is NOT like internally created insulin which goes directly from Islets in Pancreas **and** glucagon directly from the liver’s stores into bloodstream into cells’ glucose/insulin receptors. But we are stuck with subcutaneous skin vascular nature, accounting for the nominal 15-minute delay in achieving insulin’s effect. Not to mention disruptive barriers to immediate and predictable insulin effect of scar tissue or infusion site near large muscle when I gets exercised! So, everything we do AFTER CLOSE-LOOP is perfect is still a long shot away from true pancreatic endocrine activity.

        5 years ago Log in to Reply
    14. Carol Meares

      SD in the mid 20’s and below indicates I’m doing quite well coupled with TIR in the mid 90’s.

      2
      5 years ago Log in to Reply
    15. Jodi Greenfield

      This measurement is probably important for me to make note of because my glucose readings peak and valley A LOT

      5 years ago Log in to Reply
    16. Ahh Life

      Vitally important. An SD is a measure of the amount of variation or dispersing of a set of values. A low standard deviation indicates that the values tend to be close to the average, while a high standard deviation indicates that the values all over the map.

      The math formula is usually represented by the Greek letter sigma σ . The goal is to have σ < 3. In other words Average Blood Glucose divided by σ should be less than 3.

      Many analyses attempt to contain variation or dispersions to less than 3 SD. If you go beyond 3, you and your data might be called 3 sigma deviants. I may resemble that remark in some respects. ☜(ˆ▿ˆc)

      2
      5 years ago Log in to Reply
    17. Ceolmhor

      I have a strong background in statistics and certainly understand the measure and its importance, in principle, in managing blood glucose. That has not caused me to notice or use it as a metric for assessing my control. My control is limited mainly by my errors. When I don’t make any errors, such as forgetting to bolus until I hear a high alert, or mis-estimating the carb (or fat) content of a meal, my BG is very well controlled. So the source of variation is errors that I’m already working to control, and the actual number seems irrelevant to my decision making.

      3
      5 years ago Log in to Reply
      1. Bill Marston

        Ceolmar (SP??), I commend your thinking and explaining. A tool which doesn’t have immediately percievable cause+effect relationship to our behavior is not as effective on changing it as those that do.
        Interested to see where such discussion might lead, especially in the hands of diabetes educators!
        GOOD WORK.

        5 years ago Log in to Reply
    18. KarenM6

      Up until a few weeks ago, I had no idea what it meant. I read the definition and went, “huh?” Then a lovely CDE explained it to me and I finally “got it.”
      And, while I understand it now, I am still trying to come to terms with how I can use this measure to help me manage my diabetes. Having all this data really doesn’t help if you have no idea what to do with it… I am still in learning mode and will get there, I hope!!!

      1
      5 years ago Log in to Reply
    19. Sandra Norman

      I do think it’s important as swinging from highs to lows makes life difficult – it is easy to see your SD on the Dexcom Clarity reports. I have read less than 50 is a goal for most diabetics.

      5 years ago Log in to Reply
      1. Bill Marston

        If you have read that less than 50 is a good target, I think you should be reading better stuff. As others here have said a target of AROUND HALF OF THAT is the ballpark we should all be playing in. I, too, am disappointed at SD of 38 or 42 etc…. despite good A1c and average SGs, etc.

        5 years ago Log in to Reply
    20. Cheryl Seibert

      Without knowing SD, an average Sensor Glucose or Blood Glucose reading (A1C) is limited in determining good control. I am a brittle diabetic and my sugars abruptly rise and fall. My A1C is great (<7 my entire lifetime) and TIR is 85-90%, but my SD is often runs 30-40. I prefer 20-25 SD which means I'm in better control.

      2
      5 years ago Log in to Reply

    How important is the standard deviation (SD) measurement to you? (SD is a measure of a person’s variation in glucose readings) Cancel reply

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