Glycemic control in diabetes mellitus: have changes in therapy made a difference?
Abstract
Purpose New methods of measuring and controlling glycemia in diabetes mellitus have been developed and implemented in the past 10 years. We examined whether glycemia, as measured by glycosylated hemoglobin, changed in outpatient insulin-dependent diabetes mellitus (IDDM) and noninsulin-dependent diabetes mellitus (NIDDM) populations between 1985 and 1993 and whether contemporaneous changes in therapy could account for observed changes in glycemia.Patients and methods Outpatients were selected based on having glycated hemoglobin (HbA1c) measured in the Massachusetts General Hospital laboratory during March 1985 (IDDM n = 94 and NIDDM n = 137) or during March 1993 (IDDM n = 89 and NIDDM n = 118). Chart reviews established demographic and clinical characteristics, including frequency of blood glucose self-monitoring, insulin injections, office visits, and HbA1c measurements during the year prior to the HbA1c result.Results Mean HbA1c level was significantly lower in the 1993 IDDM cohort compared with the 1985 cohort (8.77% +/- 1.7% versus 9.47% +/- 2.1%, P = 0.014). In the NIDDM cohorts, the difference in mean HbA1c did not achieve statistical significance (8.35% +/- 1.6% in 1993 versus 8.75% +/- 2.1% in 1985, P = 0.09); however, when adjusted for differences in NIDDM duration, HbA1c in the 1993 cohort was significantly lower than that in the 1985 cohort. The largest decrease in HbA1c in NIDDM was in patients treated with insulin (9.53% +/- 2.0% versus 8.54% +/- 1.5% in 1985 and 1993, respectively, P = 0.004). Multiple linear regression analyses demonstrated that increased frequency of self-monitoring and of insulin injections were associated with lower HbA1c in IDDM.Conclusions The level of average glycemia has decreased in IDDM patients over the past 8 years, attributable, at least in part, to an increased frequency of monitoring and of insulin injections. Glycemia decreased in NIDDM, especially in the subset of patients treated with insulin. This temporal shift in glycemic control should have a salutary effect on the development of long-term microvascular and neurologic complications.
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Most evidence indicates that SMBG contributes to good glycemic control among type 1 and type 2 diabetic patients.
“Although most evidence indicates that SMBG contributes to good glycemic control among type 1 (4,5) and type 2 diabetic (6,7) patients, it remains uncertain whether SMBG use is efficacious in insulin-naïve type 2 diabetic patients.”
From Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes (2011) · cites this paper as [6]
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- Authors
- Nathan, D. M., McKitrick, C., Larkin, M., Schaffran, R., & Singer, D. E.
- Affiliations
- Massachusetts General Hospital (US)
- Harvard University (US)
- Corresponding author
- Nathan, David M.
- Venue
- The American Journal of Medicine
- Publisher
- Elsevier BV
- Published
- 1996-02
- Volume
- 100
- Issue
- 2
- Pages
- 157-163
- ISSN
- 0002-9343 (ISSN-L)
- OpenAlex
- W2093217653
- Cited by
- 79
- References
- 24
- Citations by year
- 2022: 1 · 2021: 1 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 4
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Research Resources (RR01166)
- NIH Clinical Center
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- glycemic control, diabetes mellitus, HbA1c, type 1 diabetes, type 2 diabetes, self-monitoring of blood glucose, insulin therapy, insulin injection, outpatient diabetes management, glycated hemoglobin measurement, diabetes duration, diabetes mortality, diabetes-related hospitalization
- MeSH terms
- Adult, Diabetes Mellitus, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Hyperglycemia, Male, Middle Aged, Diabetes Complications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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