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Impact of diagnosing diabetic complications on future hemoglobin A1c levels.

ABSTRACT: AIM:To assess how hemoglobin A1c (HbA1c) values might change following the diagnosis of the first complication from diabetes mellitus (DM). METHODS:Using a nationwide, longitudinal managed care network claims database (2001-2011), we identified patients with DM who experienced an initial diabetes-related complication. A paired t-test was used to compare average HbA1c levels before the initial complication was first diagnosed to average HbA1c levels following the diagnosis of the complication. RESULTS:518 enrollees met study inclusion criteria. Patients with suboptimally controlled DM (defined as HbA1c>7% (53 mmol/mol)) prior to the diagnosis of their first diabetic complication demonstrated a clinically significant reduction in average HbA1c following the diagnosis of their first complication (mean pre-complication HbA1c=8.5 ± 1.5% (69 ± 17 mmol/mol) vs. mean post-complication HbA1c=7.9 ± 1.7% (63 ± 18 mmol/mol) (p<0.0001)). CONCLUSION:Enrollees with suboptimally controlled DM may achieve better glycemic control following the diagnosis of a complication from DM. The results from this study, if confirmed in prospective studies, may provide a rationale for the earlier detection of complications from DM to facilitate improved glycemic control among patients with DM.

SUBMITTER: Stem MS

PROVIDER: S-EPMC7531043 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Impact of diagnosing diabetic complications on future hemoglobin A1c levels.

Stem Maxwell S MS Blachley Taylor S TS Shtein Roni M RM Herman William H WH Gardner Thomas W TW Stein Joshua D JD

Journal of diabetes and its complications 20151110 2

<h4>Aim</h4>To assess how hemoglobin A1c (HbA1c) values might change following the diagnosis of the first complication from diabetes mellitus (DM).<h4>Methods</h4>Using a nationwide, longitudinal managed care network claims database (2001-2011), we identified patients with DM who experienced an initial diabetes-related complication. A paired t-test was used to compare average HbA1c levels before the initial complication was first diagnosed to average HbA1c levels following the diagnosis of the c ...[more]

PMID: 26747183

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Project description:AimsDiabetic microvascular complications of retinopathy, nephropathy and neuropathy may occur at hemoglobin A1c levels (HbA1c) below the 6.5% (48 mmol/mol) diagnostic threshold. Our objective was to assess the validity of the HbA1c diagnostic cutpoint of 6.5% based upon published evidence of the prevalence of retinopathy, nephropathy and neuropathy as markers of diabetes.MethodsData Sources PubMed, Embase, Cochrane, Scopus and CINAHL from 1990-March 2019, grey literature sources. Study Selection All studies reported after 1990 (to ensure standardized HbA1c values) where HbA1c levels were presented in relation to prevalence of retinopathy, nephropathy or neuropathy in subjects not known to have diabetes. Data Extraction Studies were screened independently, data abstracted, and risk of bias appraised. Data Synthesis Data were synthesized using HbA1c categories of < 6.0% (< 42 mmol/mol), 6.0-6.4% (42-47 mmol/mol) and ≥ 6.5% (≥ 48 mmol/mol). Random-effects meta-analyses were conducted for retinopathy, nephropathy and neuropathy prevalence stratified by HbA1c categories. Random-effects multivariable meta-regression was conducted to identify predictors of retinopathy prevalence and sources of between-study heterogeneity.ResultsPooled mean prevalence was: 4.0%(95% CI: 3.2-5.0%) for retinopathy, 10.5% (95% CI: 4.0-19.5%) for nephropathy, 2.5% (95% CI: 1.1-4.3%) for neuropathy. Mean prevalence when stratified for HbA1c < 6.0%, 6.0-6.4% and ≥ 6.5% was: retinopathy: 3.4% (95% CI: 1.8-5.4%), 2.3% (95% CI: 1.6-3.2%) and 7.8%(95% CI: 5.7-10.3%); nephropathy: 7.1% (95% CI: 1.7-15.9%), 9.6% (95% CI: 0.8-26.4%) and 17.1% (95% CI: 1.0-46.9%); neuropathy: 2.1% (95% CI: 0.0-6.8%), 3.4% (95% CI: 0.0-11.6%) and 2.8% (95% CI: 0.0-12.8%). Multivariable meta-regression showed HbA1c ≥ 6.5% (OR: 4.05; 95% CI: 1.92-8.57%), age > 55 (OR: 3.23; 95% CI 1.81-5.77), and African-American race (OR: 10.73; 95% CI: 4.34-26.55), to be associated with higher retinopathy prevalence. Marked heterogeneity in prevalence estimates was found across all meta-analyses (Cochran's Q-statistic p < 0.0001).ConclusionsThe prevalence of nephropathy and moderate retinopathy was increased in subjects with HbA1c values ≥ 6.5% confirming the high specificity of this value for diagnosing T2DM; however, at HbA1c < 6.5% retinopathy increased at age > 55 years and, most strikingly, in African-Americans, suggesting there may be excess microvascular complication prevalence (particularly nephropathy) in individuals below the diabetes diagnostic threshold.

Project description:BackgroundProposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers' control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown.MethodsHbA1c tests were recorded for 480,745 diabetic Medicare beneficiaries. Spatial analysis was used to create ZIP code-level estimated testing rates. Associations of testing rates with local population characteristics that are outside the control of providers--population density, the percent African American, with less than a high school education, or living in poverty--were assessed.ResultsIn 2009, 83.3% of diabetic Medicare beneficiaries received HbA1c tests. Estimated ZIP code-level rates ranged from 71.0% in the lowest decile to 93.1% in the highest. With each 10% increase in the percent of the population that was African American, associated HbA1c testing rates were 0.24% lower (95% CI -0.32--0.17); for identical increases in the percent with less than a high school education or the percent living in poverty, testing rates were 0.70% lower (-0.95--0.46) and 1.6% lower (-1.8--1.4), respectively. Testing rates were lowest in the least and most densely populated ZIP codes. Population characteristics explained 5% of testing rate variations.ConclusionsHbA1c testing rates are associated with population characteristics, but these characteristics fail to explain the vast majority of variations. Consequently, even complete risk-adjustment may have little impact on some process of care quality measures; much of the ZIP code-related variations in testing rates likely result from provider-based differences and idiosyncratic local factors not related to poverty, education, or race.

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Impact of diagnosing diabetic complications on future hemoglobin A1c levels.

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Impact of diagnosing diabetic complications on future hemoglobin A1c levels.

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