Effect of iron deficiency anemia on hemoglobin A1c levels

Unlocking Optimal Glycemic Interpretation: Redefining HbA1c Analysis in Female Patients With Diabetes and Iron-Deficiency Anemia Using Machine Learning Algorithms

OBJECTIVE

In response to the nuanced glycemic challenges faced by women with iron deficiency anemia (IDA) associated with diabetes, this study uses advanced machine learning algorithms to redefine hemoglobin (Hb)A1c measurement values. We aimed to improve the accuracy of glycemic interpretation by recognizing the critical interaction between erythrocytes, iron, and glycemic levels in this specific demographic group.

METHODS

This retrospective observational study included 17,526 adult women with HbA1c levels recorded from 2017 to 2022. Samples were classified as diabetic, prediabetic, or non-diabetic based on HbA1c and fasting blood glucose (FBG) levels for distribution analysis without impacting model training. Support Vector Machines, Linear Regression, Random Forest, and K-Nearest Neighbor algorithms as machine learning (ML) methods were used to predict HbA1c levels. Following the training of the model, HbA1c values were predicted for the IDA samples using the trained model.

RESULTS

According to our results, there has been a 0.1 unit change in HbA1c values, which has resulted in a clinical decision change in some patients.

DISCUSSION

Using ML to analyze HbA1c results in women with IDA may unveil distinctions among patients whose HbA1c values hover near critical medical decision thresholds. This intersection of technology and laboratory science holds promise for enhancing precision in medical decision-making processes.

The Effect of Iron Replacement Therapy on HbA1c Levels in Diabetic and Nondiabetic Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Several studies have reported that iron-deficiency anemia (IDA) and its treatment might lead to a distorted reading of glycated hemoglobin (HbA1c) value. Hence, this review aims to systematically investigate the effect of iron replacement therapy (IRT) on HbA1c levels, as the literature is deficient in assessing this clinical phenomenon.

METHODS

An electronic search of the Cochrane, MEDLINE, and Embase databases was conducted by four independent authors.

RESULTS

Among the 8332 articles identified using the search strategy, 10 records (with a total of 2113 participants) met the inclusion criteria and were analyzed. In nine of the studies, IRT was found to decrease HbA1c levels; in the remaining study, IRT was found to increase HbA1c levels. The effect size of the pooled standardized mean difference in HbA1c levels between the treatment and control groups with IDA was 1.8 (95% CI = -0.5, 2.31). Heterogeneity was assessed using the I2 and χ2 tests, and the resultant values were 98.46% and p = 0.09, respectively. Additionally, the mean difference between the HbA1c levels (pre-IRT and post-IRT) showed a drop in the HbA1c levels which ranged from 1.20 to 0.43 mg/dL.

CONCLUSIONS

The results suggest that IRT decreases HbA1c levels, and it is helpful in treating IDA patients with poor glycemic control. Accordingly, the results provide an added perspective on antidiabetic medication dosing and physicians' interpretation of initially elevated HbA1c values.

Implications of Iron Deficiency Anaemia on Glycemic Dynamics in Diabetes Mellitus: A Critical Risk Factor in Cardiovascular Disease

BACKGROUND

Iron deficiency anemia (IDA) is a highly prevalent comorbidity in patients with diabetes, with rates estimated between 13% and 47% across studies. Iron deficiency anemia may potentially influence hemoglobin A1c (HbA1c) values, which are routinely measured to monitor long-term glycemic control in diabetes. Some evidence suggests that HbA1c may be lower in diabetics with IDA due to increased red blood cell turnover. However, current evidence elucidating the effects of IDA on HbA1c and diabetes outcomes remains inconsistent and inconclusive.

OBJECTIVE

This cross-sectional study aimed to evaluate the relationship between IDA, HbA1c levels, and glycemic dynamics in patients with diabetes mellitus.

METHODS

The study sample included 143 adult patients diagnosed with diabetes, recruited from outpatient clinics in Saudi Arabia. Iron deficiency anemia was identified through serum ferritin <100 ng/mL, transferrin saturation <20%, and hematologic parameters. The HbA1c levels were measured using standardized laboratory methods. Daily glucose profiles were obtained by continuous glucose monitoring (CGM) in a subset of patients to assess glycemic dynamics.

RESULTS

The prevalence of IDA was 39.9% among the diabetic cohort. Patients with IDA had a numerically higher mean HbA1c of 7.2% compared to 6.8% in non-anemic diabetics, suggesting a potential effect of IDA on HbA1c. Those with IDA also spent more time in hyperglycemic ranges, along with greater glucose variability based on CGM data. Iron deficiency measures, including low ferritin and high red cell distribution width (RDW), showed weak positive correlations with HbA1c levels.

CONCLUSION

Iron deficiency anemia is highly prevalent among Saudi diabetic patients and is potentially associated with inaccurate HbA1c values and poor short-term glycemic control. However, larger controlled studies are warranted to conclusively investigate mechanisms linking IDA to alterations in HbA1c and glycemic dynamics. Optimized screening and treatment of IDA may lead to more accurate diabetes monitoring and improved outcomes.

Michaelis-Menten kinetic modeling of hemoglobin A1c status facilitates personalized glycemic control

INTRODUCTION

Discrepancy between measured HbA1c and HbA1c calculated from plasma glucose is associated with higher risk for diabetic complications. However, quantification of this difference is inaccurate due to the imperfect linear conversion models. We propose to introduce a mathematical formula that correlates with the observational data and supports individualized glycemic control.

METHODS

We analysed 175,437 simultaneous plasma glucose and HbA1c records stored in our laboratory database. Employing the Michaelis-Menten (MM) equation, we compared the calculated HbA1c levels to the measured HbA1c levels. Data from patients with multiple records were used to establish the patients' glycemic status and to assess the predictive power of our MM model.

RESULTS

HbA1c levels calculated with the MM equation closely matched the population's average HbA1c levels. The Michaelis constant (Km) had a negative correlation with HbA1c (r2 = 0.403). Using personalized Km values in the MM equation, 85.1% of HbA1c predictions were within 20% error (ADAG calculation: 78.4%). MM prediction also performed better in predicting pathologic HbA1c levels (0.904 AUC vs. 0.849 AUC for ADAG).

CONCLUSION

MM equation is an improvement over linear models and could be readily employed in routine diabetes management. Km is a reliable and quantifiable marker to characterize variations in glucose tolerance.

Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review

The objective of this scoping review was to summarize the emerging literature on the use of continuous glucose monitoring (CGM) in post-bariatric surgery patients, with a focus on its features (e.g., device, mode, and accuracy), as well as purposes and outcomes of utilization. Three databases (PubMed, EMBASE, and Web of Science) were searched to obtain relevant studies. Results suggested that most studies used CGM for 3-7 days under blinded mode. Accuracy data were available in only one study, which reported a mean absolute relative difference of 21.7% for Freestyle Libre. The primary applications of CGM were for elucidating glucose patterns and assessing glycemic treatment outcomes. No study has tested the effect of CGM as an intervention strategy to enhance glucose control.

Correlation of HbA1c with Serum Iron & Transferrin Saturation in Non-Diabetic Patients with Iron Deficiency

Objective

To determine correlation of HbA1c with serum iron and transferrin saturation in non-diabetic patients with iron deficiency.

Methods

This cross-sectional comparative study was conducted at Dr Ruth KM Pfau Civil Hospital Karachi from 15th September 2021 to 14th March 2022, on non-diabetic patients based on fasting blood sugar (FBS) of <100 mg/dl. Patients were divided into two groups. Group one included patients having iron deficiency anemia (ID), whereas group two included same number of age and sex matched healthy subjects taken as controls, without ID. Blood sample was taken for HbA1c, CBC, serum iron and total iron binding capacity. Transferrin saturation (TSAT) was calculated. Comparison of quantitative variables with ID and non-ID group was done by Student's t-test. Correlation of HbA1c with iron &TSAT was done in both groups using Kendal tau-b test, as data was not normally distributed.

Results

Out of 230 patients, 83 (36.1%) were males while 147(63.9%) were females. Mean age of patients was 43.7±13.28 years. Mean HbA1c level was significantly high in ID group (5.89±0.43) as compared to non-ID group (5.52±0.50) with a p-value <.001. The HbA1c levels correlated negatively with hemoglobin, serum iron levels and transferrin saturation with a p-value <.001.

Conclusion

Low serum Iron and TSAT was related to elevation in HbA1c value. Iron deficiency needs to be corrected before HbA1c interpretation.

Assessment of Serum Electrolytes and Glycated Hemoglobin Level in Non-diabetic Iron-Deficient Anaemic Patients

INTRODUCTION

The WHO has recognised iron deficiency anaemia (IDA) as the most common nutritional deficiency in the world, with 30% of the population being affected by this condition. The patient's glycemic status during the past three months is shown by the glycated haemoglobin A1C (HbA1c) test. According to several studies, iron deficiency can increase HbA1C levels without affecting blood sugar levels. HbA1C levels of ≥ 6.5% have been approved by the American Diabetes Association (ADA) as a diagnostic indicator for diabetes mellitus (DM). An imbalance in serum electrolyte levels and anaemia have been linked by several studies.  Aim: To analyze the effect of iron deficiency anaemia on HbA1c levels and serum electrolytes in an adult non-diabetic population.

METHODS

This was a descriptive cross-sectional study conducted in Shri BM Patil Medical College, Hospital and Research Centre, Vijayapura, Karnataka, India from January 2021 to June 2022. A total of 65 moderate to severe normoglycemic iron deficiency anemia patients between 18 to 75 years were enrolled in the study after fulfilling inclusion and exclusion criteria. A detailed history, clinical and biochemical examination was performed including HbA1c levels. The results were pooled and statistical analyses were performed using Statistical Package for Social Sciences (SPSS) version 20 (IBM Corp., Armonk, NY, USA).

RESULTS

We found elevated HbA1c levels (5.67±1.1%) in non-diabetic iron-deficient anaemia individuals, and elevation was more in women of reproductive age group (30.8%). There was a statistically significant Spearman negative correlation between hemoglobin and HbA1C levels. Also, 16 patients had hyponatremia with a mean haemoglobin (Hb) of 4.8 g/dL and one patient had hyperkalemia with a mean Hb of 3.2 g/dL which was statistically non-significant.

CONCLUSION

In this study haemoglobin and HbA1c had a statistically significant positive correlation with serum sodium and a negative correlation with serum potassium in moderate to severely iron-deficient anaemic patients, especially females of the reproductive age group.

The effect of different types of anemia on HbA1c levels in non-diabetics

BACKGROUND

Diabetes mellitus is one of the most common diseases worldwide with significant morbidity and mortality. HbA1c remains one of the most important methods for diagnosis and monitoring of the disease. Since HbA1c is a reflection of the glucose attached to red blood cells, factors affecting hemoglobin and red blood cells' half-life can influence HbA1c measurements.

OBJECTIVE

This study aims to evaluate the effect of different types of anemia including iron deficiency anemia, sickle cell anemia, β -thalassemia trait, and megaloblastic anemia on HbA1c levels in a tertiary hospital over the past 6 years (2016-2022).

METHOD

This is a retrospective chart review study of 324 patients including those with one of the four types of anemia mentioned above and a control group. The control group were healthy adults with normal HbA1c and hemoglobin, who were not known to have diabetes or anemia. Patients with diabetes or prediabetes based on self-reporting or elevated fasting, random blood sugar, or 2 hours post-prandial blood glucose were excluded.

RESULTS

The mean HbA1c levels were significantly higher in sickle cell anemia at 5.83% (95% CI = 5.39-6.28) and in iron deficiency anemia at 5.75% (95% CI = 5.68-5.82) when compared to the control group at 5.32% (95% CI = 5.22-5.41). However, the mean HbA1c levels in megaloblastic anemia were 5.38% (95% CI = 5.26-5.5) and 5.45% (95% CI = 5.21-5.69) in beta thalassemia trait, which were not significantly different when compared to the control group. HbA1c significantly decreased from 5.75 to 5.44% after treatment in the iron-deficient group with a p-value of < 0.001. Moreover, lower hemoglobin and higher red cell distribution width correlated with higher HbA1c levels in patients with sickle cell anemia.

CONCLUSION

This study found a significant increase in HbA1c levels in iron deficiency anemia and sickle cell disease in patients not known to have diabetes. However, there was no significant effect in those patients with β-thalassemia trait and megaloblastic anemia. Treatment of iron deficiency anemia significantly decreased the HbA1c level, bringing it back to normal.

Frequency of iron deficiency anemia in type 2 diabetes - Insights from tertiary diabetes care centres across India

AIM

To study the frequency of iron deficiency anemia (IDA) in individuals with type 2 diabetes mellitus (T2DM) seen at tertiary diabetes care centres across India.

METHODS

This is a retrospective study (January 1, 2017-December 31, 2019), which included 1137 individuals with T2DM, aged ≥18 years, for whom data on glycemic, lipid and haematological parameters were available. Anthropometric measurements were done using standardized techniques. Biochemical investigations included fasting plasma glucose[FPG], post prandial plasma glucose, HbA1c, lipids and serum ferritin and iron wherever feasible.

RESULTS

Of the 1137 individuals included for the study, 117 (10.3%) were categorized as no 'iron deficiency' (ID) group [normal hemoglobin: male ≥13 g/dl, female ≥12 g/dl and normal serum ferritin ≥70 μg/L], 123 (10.8%) as ID group [normal hemoglobin and low serum ferritin <70 μg/L)], 447 (39.3%) as IDA group [low haemoglobin: male <13 g/dl, female <12 g/dl and low serum ferritin] and 450 (39.6%) as 'anemia of chronic disease' (ACD) group [low hemoglobin and normal serum ferritin]. The percentage of women having ID (57.7%) and IDA (65.3%) was significantly higher than their male counterparts. ID was most prevalent (61.7%) in the individuals with duration of diabetes <5 years whereas ACD was most prevalent (50.5%) in individuals with long standing diabetes (>10 years). Independent risk factors for IDA were female gender (OR 3.3,95% CI:1.75-6.23, p < 0.001), duration of diabetes (OR 1.05, 95% CI 1.01-1.11, p = 0.028) and FPG (OR 1.01, 95% CI 0.99-1.00, p = 0.018).

CONCLUSIONS

There is a need of identifying and monitoring iron status and anemia in patients with T2DM.

Effect of Iron Deficiency Anemia on Glycated Albumin Levels: A Comparative Study in Nondiabetic Subjects with Iron Deficiency Anemia

Objective Glycated hemoglobin A1c (HbA1c), used for monitoring glycemia control, is altered in iron deficiency anemia (IDA). Glycated albumin (GA) is considered an alternate biomarker to HbA1c. However, effect of IDA on GA needs to be studied.

Materials and Methods Thirty nondiabetic cases with IDA and 30 healthy controls were included. Fasting plasma glucose (FPG), creatinine, urea, albumin, total protein, ferritin, iron, unsaturated iron binding capacity, hemoglobin (Hb), HbA1c, complete hemogram, and GA were estimated. Transferrin saturation and total iron binding capacity (TIBC) were calculated. Statistical analysis was done using unpaired two-tailed t-test/Mann–Whitney U-test and Pearson's correlation/Spearman-rank correlation, as appropriate.

Results Total protein, albumin, Hb, iron, ferritin, and transferrin saturation were significantly lower while FPG, GA, TIBC, and HbA1c were significantly higher in cases compared to controls. HbA1C and GA have a significant negative correlation with iron, transferrin saturation, and ferritin. Significant negative correlations of GA with albumin (r = –0.754; p < 0.001) and Hb (r = –0.435; p = 0.001) and that of HbA1c with albumin (r = –0.271; p = 0.03) and Hb (r = –0.629; p  < 0.001) while significant positive correlation of Hb with albumin (r = 0.395; p = 0.002) and HbA1c with FPG (r = 0.415; p = 0.001) were observed.

Conclusion Low albumin levels increase plasma protein glycation, including albumin. Hence, elevated GA levels indicate false elevation of GA in scenario of lowered albumin observed in IDA, similar to HbA1c. Thus, using GA in diabetes mellitus with IDA should be avoided or used with caution to prevent potentially inappropriate treatment intensification and risk of hypoglycemia.

Comparison of nutritional supplements for glycemic control in type 2 diabetes: A systematic review and network meta-analysis of randomized trials

AIMS

Direct and indirect evidence were combined in this systematic-review and network meta-analysis (NMA) to assess and compare the effect of nutritional supplements on glycemic control, and rank the supplements accordingly.

METHODS

PubMed, Scopus, and Web of Science were searched up to April 2021. We included randomized controlled trials that investigated the effect of vitamins D, C, and E, magnesium, zinc, calcium, selenium, and omega-3 on at least one glycemic marker, including glycated hemoglobin (HbA1c), fasting blood sugar (FBS), homeostasis model assessment-estimated insulin resistance (HOMA-IR), HOMA-B, and insulin, in adults with type 2 diabetes. To estimate effectiveness of supplements, a random-effects NMA in the Bayesian framework was applied. To assess risk of bias, Cochrane Collaboration Tool was used.

RESULTS

Analysis of 178 studies indicated that zinc, vitamin D, omega-3, vitamin C, and vitamin E were effective in reducing HbA1c with low certainty. For reduction of FBS, zinc, vitamin D, and vitamin C, and for HOMA-IR, vitamin D were effective with low certainty. None of the supplements were effective in the reduction of insulin and HOMA-B with low certainty. After excluding poor-quality studies, only vitamin D was significantly effective in reducing all of the markers. Consistently, when the analysis was restricted to studies with a duration of ≥12-weeks, vitamin D reduced HbA1c, FBS, and HOMA-IR.

CONCLUSIONS

Vitamin D supplementation was more effective compared to other supplements in improving HbA1c, FBS, and HOMA-IR, albeit with low certainty of evidence. This result was confirmed by low-risk of bias studies.

REGISTRATION

CRD42021240691.

Low mean HbA1c does not increase all-cause and cardiovascular mortality in patients with diabetes: Effect-modifications by anemia and chronic kidney disease stages

Background

Previous studies reported that low levels of glycated hemoglobin A1c (HbA1c) were associated with increased mortality. We investigated rates and risks of all-cause and cardiovascular mortality in association with mean HbA1c levels with stratification of anemia and chronic kidney disease (CKD) stages, major causes of low HbA1c.

Methods

47,145 patients with prescription of antidiabetic agents >6 months in the outpatient visits (2003–2018) were linked to Taiwan’s National Death Registry to identify all-cause and cardiovascular mortality. Poisson assumption was used to estimate the mortality rates, and the Cox proportional hazard regression model was used to evaluate the relative hazards of respective mortality in relation to mean HbA1c in different statuses of anemia and CKD stages.

Results

All-cause and cardiovascular mortality rates were the lowest in non-anemic stages 1–2 CKD patients, and the highest in anemic stages 3–5 CKD patients. In stages 1–2 CKD, excessive HRs observed in those with mean HbA1c <6.0% (Hazard Ratio [HR]) 1.58; 95% Confidence Interval [CI] 1.18–2.12) became inconsequential after adjustment of medications and laboratory results (HR: 1.26; 95% CI 0.89–1.79). The similar patterns were observed in anemic stages 1–2 CKD, anemic or non-anemic stages 3–5 CKD. Low HbA1c was not related to cardiovascular mortality in any anemia status or CKD staging.

Conclusions

Higher risks associated with low mean HbA1c and all-cause mortality were attenuated by adjustment of medications and comorbidities. It is imperative for the diabetologists to consider confounding effects of underlying illness before concluding low HbA1c associated higher mortality.

Effect of iron deficiency anaemia over glycated hemoglobin in non-diabetic women

BACKGROUND

Glycated hemoglobin (HbA1c) is a form of hemoglobin bound to glucose and used as an index of glycaemic control reflecting glucose levels of the previous three months. Iron deficiency anemia (IDA) is the commonest form of anemia that affects HbA1c. Reports on the effects of IDA on HbA1c levels are inconsistent in India. Therefore, the study correlated the HbA1c and IDA in non-diabetic female patients.

METHODS

A correlative study between HbA1c and IDA was carried out at the Department of Biochemistry, A. J. Institute of Medical Sciences, Mangaluru, India. A total of 50 non-diabetic female patients, aged between 20-50 years, with decreased levels of Hb, MCV and MCHC were selected. Their ferritin levels were determined by ELISA method to confirm IDA. Forty confirmed iron-deficient samples whose serum ferritin levels were <90 pg/dL, were tested for HbA1c levels by nephelometry method.

RESULTS

HbA1c correlated positively with serum ferritin, Hb, MCV, MCH and MCHC (P<0.05). There was a significant decrease in mean value of HbA1c in those with severe anemia (4.50±0.34) compared to those with moderate anemia (5.18±0.35) (P<0.001).

CONCLUSION

Results showed positive correlation of HbA1c with ferritin and hemoglobin. Therefore, iron status should be considered during the interpretation of the HbA1c concentrations in diabetes mellitus.

Sex-Specific Associations of Iron-Anemia Status With Hemoglobin A1C Levels Among Hispanics/Latinos Without Self-Reported Diabetes Mellitus: The Hispanic Community Health Study/Study of Latinos

OBJECTIVE

The objective of this study was to examine the sex-specific associations of mutually exclusive iron-anemia status categories with hemoglobin A1C (HbA1C) levels among U.S. Hispanics/Latinos without self-reported diabetes mellitus.

METHODS

Baseline cross-sectional data (7247 women and 4904 men without self-reported diabetes mellitus) from the Hispanic Community Health Study/Study of Latinos were analyzed. Per the American Diabetes Association's defined criteria, based on HbA1C levels, the participants were categorized as having normoglycemia, prediabetes, or probable diabetes mellitus. The iron-anemia status categories were as follows: no anemia and no iron deficiency (reference), iron deficiency, iron deficiency anemia (IDA), and non-iron deficiency anemia (non-IDA). Survey multinomial logistic regression models were used to examine the sex-specific associations of iron-anemia status with HbA1C levels after adjusting for sociodemographic, lifestyle, and clinical factors.

RESULTS

The age-standardized prevalence of iron-anemia status categories differed by sex. Compared with those with no anemia and no iron deficiency and normoglycemia, women with IDA had higher odds of having prediabetes (odds ratio [OR], 2.18; 95% CI, 1.64-2.89) and probable diabetes mellitus (OR, 3.59; 95% CI, 1.62-7.99) based on HbA1C levels; men with non-IDA had higher odds of having probable diabetes mellitus (OR, 2.97; 95% CI, 1.13-7.78) based on HbA1C levels. All other associations did not reach statistical significance.

CONCLUSION

Among U.S. Hispanics/Latinos without self-reported diabetes mellitus, the age-standardized prevalence of iron deficiency, IDA, and non-IDA is high and varies by sex. Women with IDA had higher odds of having prediabetes and probable diabetes mellitus, defined based on HbA1C levels. Men with non-IDA had higher odds of having probable diabetes mellitus, defined based on HbA1C levels. Iron-anemia status should be considered while interpreting elevated HbA1C levels among U.S. Hispanics/Latinos without self-reported diabetes mellitus.

Serum iron is negatively correlated with the HbA1c level in children and adolescents with type 1 diabetes mellitus

Although mainly affected by the blood glucose levels, the level of HbA1c could be influenced by other important factors, such as an iron deficiency, which is commonly found in children with type 1 diabetes mellitus (T1DM). However, a clinical judgment could not be established, as previous studies still reported conflicting results and lack of data regarding Indonesia. We aimed to evaluate the correlation between the serum iron and HbA1c levels in children with T1DM. This single-center cross-sectional study was conducted from February to October 2020 at Sanglah Hospital, Bali, Indonesia. Patients aged 1–18 yr were included in this study. The HbA1c and serum iron levels were evaluated in the blood samples. Spearman and partial correlation analyses were used to analyze the correlations between variables. The statistical significance was set at P < 0.05. Thirty-three subjects were analyzed, with a mean age of 11.24 ± 3.76 yr. Low serum iron and poor glycemic index were found in 54.5% and 69.7% of the subjects, respectively. Spearman correlation analysis revealed a low negative correlation between the serum iron and HbA1c levels (Spearman’s rho = –0.376, P = 0.031). A partial correlation showed a moderate negative correlation (r = –0.473, P = 0.013) after adjusting for confounding variables. This study found a moderate negative correlation between the serum iron and HbA1c level in children and adolescents with T1DM.

Relationship Between Time-in-Range, HbA1c, and the Glucose Management Indicator in Pregnancies Complicated by Type 1 Diabetes

Objective: We aimed to evaluate relationships between time-in-range (TIR 63-140 mg/dL), glycated hemoglobin A1c (HbA1c) level, and the glucose management indicator (GMI) in pregnant women with type 1 diabetes. Research Design and Methods: Continuous glucose monitoring (CGM) data from 27 women with type 1 diabetes were collected prospectively throughout pregnancy. Up to 90-days of CGM data were correlated with point-of-care HbA1c levels measured in the clinic at each trimester. GMI levels were calculated using a published regression formula. Liner models were used to compare TIR, HbA1c, and GMI by each trimester. Results: There was a significant negative correlation between TIR and HbA1c; each 10% increase in TIR was associated with a 0.3% reduction in HbA1c. The correlation between TIR and HbA1c was stronger (r = -0.8) during the second and third trimesters than during the first trimester (r = -0.4). There was good correlation between TIR and GMI during each trimester (r = 0.9 for each trimester). The relationship between GMI and HbA1c especially during second (r = 0.8) and third trimesters (r = 0.8) was strong. Conclusion: In the first trimester, the correlation between HbA1c level and TIR was relatively small, while that of TIR and GMI was very strong, thus GMI may better reflect glycemic control than HbA1c in early pregnancy. Each 10% increase in TIR was associated with a 0.3% reduction in HbA1c throughout pregnancy, which was lower than other published studies in nonpregnant populations reporting a 0.5%-0.8% reduction in HbA1c. Further studies are needed to understand the relationship between TIR and GMI and how GMI may affect maternal and fetal complications. Clinical Trial Registration number: NCT02556554.

Association between Dietary Magnesium Intake and Glycemic Markers in Ghanaian Women of Reproductive Age: A Pilot Cross-Sectional Study

Low magnesium intake has been shown to be associated with an increased risk of type 2 diabetes mellitus (T2DM) in several studies conducted in high-income countries. However, very few studies have been performed in Africa, where many countries have a growing rate of T2DM. We conducted a pilot cross-sectional study among 63 women in Ghana to investigate the association between magnesium intake and glycemic markers. We assessed dietary magnesium using a food frequency questionnaire and glycemic markers using fasting blood glucose and glycated hemoglobin A1c (HbA1c). Our findings showed that the mean magnesium intake was 200 ± 116 mg/day. The prevalence of T2DM was 5% by measuring fasting blood glucose and 8% by measuring HbA1c. Unadjusted linear regression models revealed that higher magnesium intake significantly predicted higher fasting blood glucose levels (β = 0.31; 95% CI: 0.07, 0.55; p = 0.01) and HbA1c levels (β = 0.26; 95% CI: 0.01, 0.51; p = 0.04). In adjusted analyses, magnesium intake was no longer significantly associated with either fasting blood glucose levels (β = 0.22; 95% CI: −0.03, 0.46; p = 0.08) or HbA1c levels (β = 0.15; 95% CI: −0.08, 0.39; p = 0.20). In conclusion, our study did not show a significant association between magnesium intake and glycemic markers in women of reproductive age in Ghana. The results of this study need to be further substantiated because this was the first study to examine magnesium intake and glycemic markers in this population in Africa.

Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study

Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18-45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (- 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.

Alternative non-oral nutrition in a rat model: a novel modified gastrostomy technique

The gastrostomy technique is essential for esophageal reconstruction using a scaffold. To date, there are no established methods to supply nutrients through a gastrostomy tube in rats. The purpose of this study was to analyze the feasibility of a newly modified gastrostomy technique for non-oral nutrition in an adult rat model. We modified the gastrostomy technique for adult rats in a few different ways. (1) The external opening for food injection was made at the midpoint between the ears to prevent damage due to self-harm behaviour. (2) An imbedded subcutaneous tunnel was created between the internal and external openings of the gastrostomy. We compared the efficacy and safety between groups with a T-tube for biliary drainage (TT group, n=14) and a conventional silicone Foley catheter (FC group, n=7) as optimal gastrostomy tubes for in a rat model. We also evaluated the feasibility of the heparin cap connector at the end of gastrostomy tube to control food supply in the TT group (with a cap, n=7; without a cap, n=7). No mortality was observed in the TT group with a cap, whereas most rats in the FC group died within 2 weeks after the procedure. Weight loss decreased significantly in the TT group with a cap compared with all the other groups. The appearance and attitude scores were significantly better in the TT group with a cap. In addition, histologic analysis showed that the TT group a cap showed a marked decrease over time in tissue fibrosis and macrophages compared with the other experimental groups. Therefore, gastrostomy using a silicone T-tube plugged with a cap proved to be a stable and effective option for non-oral feeding in an adult rat model.

The substantial burden of non-communicable diseases and HIV-comorbidity amongst adults: Screening results from an integrated HIV testing services clinic for adults in Soweto, South Africa

BACKGROUND

South Africa is disproportionately impacted by non-communicable diseases (NCDs) and HIV/AIDS. We investigated the prevalence of known/unknown NCD risk factors, HIV, and NCD risk factor-HIV comorbidity; and treatment status on known diseases to determine the prevalence of controlled/uncontrolled disease.

METHODS

This cross-sectional study (June 2018-March 2019) within an integrated testing centre in Soweto, South Africa, screened adults (aged ≥18 years) for body mass index (BMI), hypertension (HT), rapid glucose and cholesterol, and HIV. Results were stratified by age group, sex, HIV-status, and self-reported ART use. Analysis included Fisher's exact, chi-squared, Kruskal Wallis, and Student's T-tests.

FINDINGS

Of 780 enrolled participants, 19.2% were HIV-positive, 37.5% were overweight/obese, 18.0% hypertensive, 10.8% hyperglycaemic, and 8.1% had hypercholesterolaemia. Significantly more women had overweight/obese BMI than men (46.8% vs 19.7%; p<0.0001), and women aged 25-34 years had significantly more hypercholesterolaemia than same-aged men (18.2% vs 5.6%; p = 0.02). HIV-positive participants had significantly more hyperglycaemia than HIV-negative participants (16.1% vs 9.6%; p = 0.02), and those on ART (63.9%) had significantly more hypercholesterolaemia than those not on ART (21.7% vs. 4.9%; p = 0.002). Of participants with HT, hyperglycaemia, and hypercholesterolaemia; 72.4%, 96.1%, and 93.3% were newly diagnosed. All participants with previously diagnosed NCDs remained with uncontrolled disease.

INTERPRETATION

There is a high burden of HIV, NCD risk factors, and comorbidity in Soweto, and amongst young adults (18-34 years), especially women. Lowering age requirements for glucose/cholesterol screening to 18+ years, regardless of BMI, HIV-status, or ART use, may yield timely NCD diagnosis/management.

Clinical features of and risk factors for normoalbuminuric diabetic kidney disease in hospitalized patients with type 2 diabetes mellitus: a retrospective cross-sectional study

BACKGROUND

Normoalbuminuric diabetic kidney disease (NADKD) is a newly defined DKD, the clinical features and pathogenesis for which are still being understood. This study aimed to investigate the features and risk factors for NADKD in patients with type 2 diabetes mellitus (T2DM).

METHODS

A retrospective cross-sectional study was conducted. The related clinical and laboratory data of patients with T2DM hospitalized between August 2012 and January 2020 were collected for statistical analysis. We classified the patients with T2DM into four groups on the basis of the presence or absence of albuminuria and reduced estimated glomerular filtration rate (eGFR). Analysis of variance, the Kruskal-Wallis test, and the chi-square test were used to compare the groups. Binary logistic regression analyses with a forward stepwise method were performed to explore the risk factors for renal dysfunction in hospitalized patients with normoalbuminuric T2DM.

RESULTS

Among the 1620 patients evaluated, 500 (30.9%) had DKD, of which 9% had NADKD. The prevalence of stroke, cardiovascular events, carotid plaque, and peripheral arterial disease in NADKD was significantly higher than in a non-DKD control group (normoalbuminuric T2DM patients with eGFR of ≥60 ml/min/1.73 m²). Regression analyses revealed that three significant independent factors were associated with NADKD: age (OR = 1.089, confidence interval [CI] 95% [1.055-1.123], p < 0.001), previous use of renin-angiotensin system inhibitors (RASIs; OR = 2.330, CI 95% [1.212-4.481], p = 0.011), and glycated hemoglobin (HbA1c; OR = 0.839, CI 95% [0.716-0.983], p = 0.03).

CONCLUSIONS

NADKD is mainly associated with macrovascular rather than microvascular complications. NADKD is more common in patients with normoalbuminuric T2DM with older age, previous use of RASIs, and good glycemic control.

Influence of iron deficiency anemia on glycated hemoglobin levels in non-diabetic Saudi women

Objective

Studies of patients with iron deficiency anemia (IDA) have shown a relationship between high glycated hemoglobin (HbA1c) and low hemoglobin (Hb) concentration. The present study was conducted to determine the influence of IDA on HbA1c in non-diabetic women.

Methods

Fifty-nine Saudi women (20 to 50 years old) were enrolled and categorized into groups according to their circulating hemoglobin concentration: Non-IDA (Hb ≥7.45 mmol/L; n = 38) and IDA (Hb ≤7.44 mmol/L; n = 21). The IDA group was further subdivided according to the severity of the IDA, as follows: mild (Hb 6.83 to 7.44 mmol/L; n = 9) and moderate–severe (Hb <6.83 mol/L; n = 12). HbA1c, Hb, ferritin, fasting blood glucose, and red blood cell (RBC) count were measured in each participant.

Results

HbA1c did not significantly differ between the groups, but the absolute HbA1c level was significantly lower in the mild and moderate–severe anemia groups than the non-anemic group, and was positively associated with Hb, ferritin, and RBC count. In addition, the HbA1c level was inversely associated with the Hb concentration.

Conclusions

HbA1c is significantly associated with parameters related to IDA in non-diabetic Saudi women. Therefore, assessment of IDA-related parameters is recommended prior to making a diagnosis of diabetes.

COVID-19 pandemic: Can fasting plasma glucose and HbA1c replace the oral glucose tolerance test to screen for hyperglycaemia in pregnancy?

AIMS

To evaluate proposals considering HbA1c and fasting plasma glucose (FPG) measurement as a substitute for oral glucose tolerance test (OGTT) to diagnose hyperglycaemia in pregnancy (HIP) during COVID-19 pandemic.

METHODS

Of the 7,334 women who underwent the OGTT between 22 and 30 weeks gestation, 966 had HIP (WHO diagnostic criteria, reference standard). The 467 women who had an available HbA1c were used for analysis. French-speaking Society of Diabetes (SFD) proposal to diagnose HIP during COVID-19 pandemic was retrospectively applied: HbA1c ≥5.7% (39 mmol/mol) and/or FPG level ≥5.1 mmol/l. SFD proposal sensitivity for HIP diagnosis and the occurrence of HIP-related events (preeclampsia, large for gestational age infant, shoulder dystocia or neonatal hypoglycaemia) in women with false negative (FN) and true positive (TP) HIP-diagnoses were evaluated.

RESULTS

The sensitivity was 57% [95% confidence interval 52-62]. FN women had globally lower plasma glucose levels during OGTT, lower HbA1c and body mass index than those TP. The percentage of HIP-related events was similar in FN (who were cared) and TP cases, respectively 19.5 and 16.9% (p = 0.48). We observed similar results when women at high risk for HIP only were considered.

CONCLUSION

The SFD proposal has a poor sensitivity to detect HIP. Furthermore, it fails to have any advantages in predicting adverse outcomes.

[Preparation of the dialysis patient with type 1 diabetes mellitus for kidney transplantation]

Kidney transplantation is unique method of renal replacement therapy, allowing to improve quality and duration of life for patients with diabetes mellitus type 1 (DM1) and end-stage renal disease (ESRD) on dialysis therapy. Recently using of innovation technologies for diabetes management and modern immunosuppression enable achieving better results of posttransplant rehabilitation for patients with DM1, especially if kidney transplantation is performed early after initiation of dialysis. Detailed examination of patient with DM1 before potential kidney transplantation is very important to reduce of early and late postoperative complications. Kidney transplantation preparation includes effective glycemic control, adequate dialysis therapy, treatment of diabetes and ESRD complications and concomitant conditions, especially cardiovascular diseases, accounting for kidney transplantation perspective. Furthermore, diagnostics and treatment of any infectious process, timely vaccination, cancer screening are basic approaches of kidney transplantation preparation program, providing the best survival rate of kidney graft and patient.

Glycated Haemoglobin (HbA1c) Variations in Nondiabetics With Nutritional Anemia

OBJECTIVES

Diabetes is prevalent in the Indian population, to the extent that the diabetes burden matches that of nutritional anemia. We aimed to determine the effects of iron and vitamin B12 deficiency anemia on glycated haemoglobin (HbA1c) concentrations in individuals without diabetes.

MATERIAL AND METHODS

The study comprises 100 patients with iron deficiency anemia, 100 with vitamin B12 deficiency anemia, and 100 healthy volunteers as a control group. Each of the first two groups was subdivided into two groups depending on the severity of anemia based on Hb levels. We treated with iron replenishment in the iron deficiency group and B12 replenishment in the B12 deficiency group for three months. We noted HbA1c levels before and after the therapy. Data were entered into the SPSS package. For comparing pre and post-therapy levels, we used the Paired 't' test.

RESULTS

The mean HbA1c before treatment were 6.1% ± 0.23% and 5.5% ± 0.24%, and the values after treatment were 5.1% ± 0.14% and 4.6% ± 0.2% in severe iron deficiency anemia subgroup and mild to moderate subgroup, respectively. The mean HbA1c in the iron-deficiency anemia control group was 5.2% ± 0.2%. The mean HbA1c levels before treatment were 5.9% ± 0.3% and 5.6% ± 0.19%, and after treatment were 5.0% ± 0.15% and 4.9% ± 0.16% in severe and mild to moderate B12 deficiency anemia, respectively. The mean HbA1c in the vitamin B12 deficiency anemia control group was 5.1% ± 0.2%.

CONCLUSION

HbA1c in both types of anemia subjects showed a significant decrease with appropriate therapy. Physicians should consider rechecking patient haemoglobin values and correcting a patient's anemia before determining the patient's glycemic status using HbA1c to avoid misinterpretation of their diabetes status.

Glycated albumin versus HbA1c as indicators of glycemic control in type I diabetic children with iron deficiency anemia

We evaluated the clinical usefulness of glycated albumin (GA) and glycated hemoglobin (HbA1c) as indicators of glycemic control in type I diabetic (T1DM) children with and without iron deficiency anemia (IDA). Our prospective cross-sectional study was conducted on 147 T1DM children who were classified into Group I (with IDA) and Group II (without anemia). The participants were classified as controlled and uncontrolled based on mean blood glucose (MBG) in the past 30 days. The 5–12-yr-olds with MBG above 200 and 12–15-yr-olds with levels above 180 md/dl were considered uncontrolled. HbA1c increased significantly in the participants with IDA compared to those without anemia (p < 0.01). HbA1c in those with IDA showed insignificant difference between the controlled and uncontrolled (p = 0.5), while GA was significantly higher in the uncontrolled than the controlled (p = 0.3). Receiver operating characteristic (ROC) curve analysis showed that GA had 87.2% sensitivity and 75.8% specificity at a cut-off point of 16.9%. HbA1c at a cut-off point of 7.09% showed 80% sensitivity and 57.6% specificity. For prediction of uncontrolled diabetes in children with IDA, we concluded that HbA1c increases significantly in diabetic children with IDA. GA may be a useful alternative biomarker for evaluating the glycemic control in such children.

Gamma Aminobutyric Acid Increases Absorption of Glycine-Bound Iron in Mice with Iron Deficiency Anemia

Iron deficiency is a leading cause of anemia. Amino acids are known to promote the absorption of both soluble and insoluble iron. The bioavailability of organic iron is higher than that of inorganic iron. Therefore, the aim of this study was to evaluate the iron absorption of glycine-bound iron (an organic iron) and a combination of glycine-bound iron and gamma aminobutyric acid (GABA) in mice with iron deficiency anemia (IDA). Mice were fed an iron-deficient diet for 3 weeks, followed by oral administration of GABA, inorganic iron, glycine-bound iron, or GABA plus glycine-bound iron for 5 weeks. Ferritin storage in the spleen was measure by immunohistochemistry (IHC). Iron deposition in the liver and spleen tissues was analyzed using atomic absorption spectrometry. Expression levels of iron absorption-related genes were measured by quantitative real-time polymerase chain reaction (qPCR). Iron absorption was enhanced in the glycine-bound iron-treated group compared with the inorganic iron-treated group. Hemoglobin, serum Fe, ferritin, and liver iron levels did not increase in mice treated with GABA alone. However, mice administered GABA in combination with glycine-bound iron showed higher iron absorption than those administered organic iron alone. Our results indicate that glycine-bound iron in combination with GABA might exert a synergistic effect on iron absorption and bioavailability, suggesting that the addition of GABA to existing iron supplements might increase their effectiveness for treating IDA.

HbA1c level decreases in iron deficiency anemia

BACKGROUND

Hemoglobin A1c (HbA1c) is the major form of glycosylated hemoglobin. There are conflicting data on changes in HbA1c levels in patients with iron deficiency anemia (IDA). The present study aimed to investigate the effects of HbA1c levels in the presence of IDA, the effects of iron treatment on HbA1c levels, as well as the relationship between the severity of anemia and HbA1c levels in patients without diabetes.

DESIGN AND METHODS

A total of 263 patients without diabetes mellitus (DM) who were admitted to Cukurova University, Faculty of Medicine, Department of Endocrinology and Hematology or who were followed up in this clinic and diagnosed as having IDA were included in the study. A total of 131 patients had IDA. The control group comprised 132 age-matched and sex-matched healthy individuals.

RESULTS

The mean HbA1c level was significantly lower in the group with IDA (5.4%) than in the healthy control group (5.9%; p < 0.05). When the patients were divided into three groups according to the severity of anemia through Hb levels, HbA1c levels were observed to decrease as the severity of the anemia increased (5.5%, 5.4%, and 5%, respectively; p > 0.05). The HbA1c levels of the patients with IDA were higher after iron therapy (from 5.4 ± 0.5 to 5.5 ± 0.3; p = 0.057). The mean hemoglobin (Hb), hematocrit (Hct), mean cell volume (MCV), mean corpusculer hemoglobin (MCH), and ferritin values also increased after iron therapy (p < 0.05).

CONCLUSION

The study results showed that IDA was associated with low HbA1c levels, and increased after iron therapy. Based on the study findings, it is necessary to consider the possible effects of IDA on HbA1c levels.

Five years of improving diabetes control in Czech children after the establishment of the population-based childhood diabetes register ČENDA

OBJECTIVES

The Czech National Childhood Diabetes Register (ČENDA) is a web-based nationwide database that collects treatment and outcome data in children and adolescents with diabetes. Here, we present data from the first 5 years of ČENDA (2013-2017).

METHODS

Data include characteristics of disease onset and annual summaries of key clinical care parameters from every patient treated by participating pediatric diabetes outpatient clinics.

RESULTS

The database contains data of 4361 children (aged 0-19 years) from 52 centers (85% of all Czech pediatric patients). Of these, 94% had type 1 diabetes (T1D), 4.5% had genetically proven monogenic or secondary, and 1.5% had type 2 diabetes. In children with T1D, median glycated hemoglobin (HbA1c) decreased throughout the observed period from 66.3 to 61.0 mmol/mol (P < .0001, 95% confidence interval [CI] for change -5.6 to -4 mmol/mol). Consequently, the proportion of children reaching the target therapeutic goal of 58.5 mmol/mol increased from 28% in 2013 to 40% in 2017. The proportion of children treated with insulin pumps (CSII) remained stable over the observed period (25%). In a subanalysis of 1602 patients (long-standing T1D diagnosed before 2011), the main predictors associated with lower HbA1c were treatment with CSII, male sex and care provided at a large diabetes center (>100 patients).

CONCLUSIONS

A significant continuous decrease in HbA1c was observed in Czech children over the past 5 years. As this improvement was not accompanied by appreciable changes in the mode of therapy, we assume that the establishment of our nationwide register has itself constituted a stimulus towards improvement in the care process.

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women

AIM

To assess the efficacy of first trimester glycated hemoglobin (HbA1c-FT) in diagnosing or predicting gestational diabetes mellitus (GDM) in Asian Indian women.

METHODS

This retrospective cohort study involved 2275 women who underwent both HbA1c-FT estimation and GDM screening with a one-step 75 g oral glucose tolerance test. Receiver Operating Characteristic (ROC) curve statistics were applied to assess the discriminative ability of HbA1c-FT in GDM diagnosis. A multivariable logistic regression analysis after adjusting for plausible confounders was used to evaluate the independent effect of HbA1c-FT on GDM diagnosis.

RESULTS

The mean HbA1c-FT of GDM (n = 578) and non-GDM women (n = 1697) were 5.04 + 0.04% and 4.9 + 0.37%, respectively (p < 0.001). Compared to women with a HbA1c-FT < 5.2%, the adjusted odds ratio to develop GDM of women with an HbA1c-FT range of 5.2-5.5% and those >5.6% to develop GDM were 1.627 (p < 0.004) and 2.6 (p < 0.001), respectively. The area under the ROC curve to detect GDM was 0.606 (95% CI: 0.519-0.633 p < 0.001), but the sensitivity and specificity of the HbA1c-FT were not sufficient to diagnose, rule in or rule out GDM.

CONCLUSIONS

HbA1c-FT is an independent GDM predictor in Asian Indian women but lacks sufficient sensitivity or specificity for use as a diagnostic test.

Increased Levels of Glycated Hemoglobin A1c and Iron Deficiency Anemia: A Review

Worldwide, the prevalence of diabetes remains high. Studies have shown that iron deficiency anemia (IDA) is associated with increased levels of glycated hemoglobin A1c (HbA1c), but the mechanism remains unclear. Hematological changes, iron metabolism, study methodology, and other factors could affect the results of diagnostic investigations, leading to false results. Red blood cell turnover in the bone marrow and the quality and heterogeneity of erythrocytes may influence the rate of hemoglobin glycation. By changing the structure of hemoglobin and inducing peroxidation, iron deficiency accelerates glycation. This review aims to discuss the possible causes of the association between increased levels of HbA1c and IDA.

[Glycemic control in patients with diabetes mellitus on hemodialysis]

Achievement of stabilization of carbohydrate metabolism in patients with diabetes mellitus, receiving renal replacement therapy with hemodialysis, is a significant problem in endocrinology. It has to do with multiple factors of this cohort of patients, which affect the level of glycemia, pharmacokinetic of drugs, the efficiency of glycemic control. At the moment, the most efficiency method of glycemic control in patients with type 2 diabetes mellitus on hemodialysis is insulin therapy in the basis - bolus regime by analogues of human insulin. The use of oral hypoglycemic agents is significantly limited. The hemoglobin A1c (HbA1c) remains the main parameter of glycemic control. The simultaneous use of continuous glucose monitoring allows to reveal the true level of glucose of the blood and to carry out the timely correction of therapy in order to achieve targets for glycemic control and to decrease the risk of hypoglycemic episodes. At the moment other glycemic control markers such as glycated albumin and fructosamine are described. However, in routine practice at the moment these indicators are not used due to the lack of sufficient evidentiary base of their use in this cohort of patients.

Intuitive eating is associated with weight and glucose control during pregnancy and in the early postpartum period in women with gestational diabetes mellitus (GDM): A clinical cohort study

INTRODUCTION

High pre-pregnancy weight and body mass index (BMI) increase the risk of gestational diabetes mellitus (GDM) and diabetes after pregnancy. To tackle weight and metabolic health problems, there is a need to investigate novel lifestyle approaches. Outside of pregnancy, higher adherence to intuitive eating (IE) is associated with lower BMI and improved glycemic control. This study investigated the association between IE and metabolic health during pregnancy and in the early postpartum period among women with GDM.

METHODS

Two-hundred and fourteen consecutive women aged ≥18, diagnosed with GDM between 2015 and 2017 and completed the "Eating for Physical rather than Emotional Reasons (EPR)" and "Reliance on Hunger and Satiety cues (RHSC) subscales" of the French Intuitive Eating Scale-2 (IES-2) questionnaire at the first GDM clinic visit were included in this study.

RESULTS

Participants' mean age was 33.32 ± 5.20 years. Their weight and BMI before pregnancy were 68.18 ± 14.83 kg and 25.30 ± 5.19 kg/m² respectively. After adjusting for confounding variables, the cross-sectional analyses showed that the two subscales of IES-2 at the first GDM visit were associated with lower weight and BMI before pregnancy, and lower weight at the first GDM visit (β = -0.181 to -0.215, all p ≤ 0.008). In addition, the EPR subscale was associated with HbA1c and fasting plasma glucose at the first GDM visit (β = -0.170 and to -0.196; all p ≤ 0.016). In the longitudinal analyses, both subscales of IES-2 at first GDM visit were associated with lower weight at the end of pregnancy, BMI and fasting plasma glucose at 6-8 weeks postpartum (β = -0.143 to -0.218, all p ≤ 0.040) after adjusting for confounders.

CONCLUSIONS

Increase adherence to IE could represent a novel approach to weight and glucose control during and after pregnancy in women with GDM.

Glycosylated Hemoglobin in Subjects Affected by Iron-Deficiency Anemia

Previous studies have suggested that iron-deficiency anemia affects glycosylated hemoglobin (HbA1c) measurements, but the results were contradictory. We conducted a retrospective case-control study to determine the effects of iron deficiency on HbA1c levels. Starting with the large computerized database of the Italian Hospital of Desio, including data from 2000 to 2016, all non-pregnant individuals older than 12 years of age with at least one measurement of HbA1c, cell blood count, ferritin, and fasting blood glucose on the same date of blood collection were enrolled. A total of 2,831 patients met the study criteria. Eighty-six individuals were diagnosed with iron-deficiency anemia, while 2,745 had a normal iron state. The adjusted means of HbA1c were significantly higher in anemic subjects (5.59% [37.37 mmol/mol]), than those measured in individuals without anemia (5.34% [34.81 mmol/mol]) (P<0.0001). These results suggest that clinicians should be cautious about diagnosing prediabetes and diabetes in individuals with anemia.

Glycaemic control trends in people with type 1 diabetes in Scotland 2004-2016

AIMS/HYPOTHESIS

The aim of this work was to examine whether glycaemic control has improved in those with type 1 diabetes in Scotland between 2004 and 2016, and whether any trends differed by sociodemographic factors.

METHODS

We analysed records from 30,717 people with type 1 diabetes, registered anytime between 2004 and 2016 in the national diabetes database, which contained repeated measures of HbA_1c. An additive mixed regression model was used to estimate calendar time and other effects on HbA_1c.

RESULTS

Overall, median (IQR) HbA_1c decreased from 72 (21) mmol/mol [8.7 (4.1)%] in 2004 to 68 (21) mmol/mol (8.4 [4.1]%) in 2016. However, all of the improvement across the period occurred in the latter 4 years: the regression model showed that the only period of significant change in HbA_1c was 2012-2016 where there was a fall of 3 (95% CI 1.82, 3.43) mmol/mol. The largest reductions in HbA_1c in this period were seen in children, from 69 (16) mmol/mol (8.5 [3.6]%) to 63 (14) mmol/mol (7.9 [3.4]%), and adolescents, from 75 (25) mmol/mol (9.0 [4.4]%) to 70 (23) mmol/mol (8.6 [4.3]%). Socioeconomic status (according to Scottish Index of Multiple Deprivation) affected the HbA_1c values: from the regression model, the 20% of people living in the most-deprived areas had HbA_1c levels on average 8.0 (95% CI 7.4, 8.9) mmol/mol higher than those of the 20% of people living in the least-deprived areas. However this difference did not change significantly over time. From the regression model HbA_1c was on average 1.7 (95% CI 1.6, 1.8) mmol/mol higher in women than in men. This sex difference did not narrow over time.

CONCLUSIONS/INTERPRETATION

In this high-income country, we identified a modest but important improvement in HbA_1c since 2012 that was most marked in children and adolescents. These changes coincided with national initiatives to reduce HbA_1c including an expansion of pump therapy. However, in most people, overall glycaemic control remains far from target levels and further improvement is badly needed, particularly in those from more-deprived areas.

Diabetes mellitus and laboratory medicine in sub-Saharan Africa: challenges and perspectives

Diabetes mellitus is an increasing public health problem in sub-Saharan Africa with a substantial socioeconomic burden. Although laboratory medicine has been recognized as one of the six key public health functions, there are still gaps in strengthening of laboratory services in developing countries. In the last decades, a lot of progress has been made in the diagnostic field of infectious diseases, whereas the diagnosis of noncommunicable diseases is still insufficient and uneven. This article analyses the challenges encountered in diagnosing and monitoring of diabetes mellitus in sub-Saharan Africa and explores new alternative diagnostic tools.

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

BACKGROUND AND AIMS

Glycemic control among patients with diabetes mellitus is associated with a marked reduction of both macrovascular and microvascular complications; however, glycemic control remains an elusive goal worldwide. The aim of this study was to determine factors associated with glycemic control among patients attending a tertiary clinic in Botswana as limited information to date.

METHODS

Cross-sectional study in a tertiary clinic in Gaborone, Botswana. Patients were recruited between 21 July 2015 and 21 September 2015. The majority of the randomly recruited patients (368/380-96.8%) had documentation of glycemic control (HbA1c) within three months of study recruitment and were subsequently included in the analysis. Glycemic control was categorized as desirable, suboptimal and poor if HbA1c was <7%, 7-9% and >9%, respectively. Data were analyzed using SPSS for descriptive statistics including both bivariate and multinomial logistic regression. A value of p < 0.05 was considered statistically significant.

RESULTS

The analyzed study population consisted of 258/368 (70.1%) females with a mean age (SD) of 56.7 ± 13.6 years. Means (SDs) for diabetes duration and glycated hemoglobin were 7.2 ± 7.1 years and 7.97 ± 2.02%, respectively. Of the 368 patients, 136 (36.95%) and 132/368 (35.86%) had desirable and suboptimal glycemic control, respectively. Older age, attending the clinic for more or equal to 3 years and not being on insulin were associated with both desirable and suboptimal glycemic control whereas duration of diabetes between 5 and 10 years was associated with poor glycemic control.

CONCLUSIONS

The majority of patients had poor glycemic control. Older age and not being on insulin were associated with better glycemic control. The fact that patients on insulin had poor glycemic control calls for more research to determine the timing of insulin initiations and dosing schedule factors as these will help to improve overall glycemic control in Botswana and elsewhere.

Effect of iron deficiency anemia on HbA1c in diabetic patients at Tikur Anbessa specialized teaching hospital, Addis Ababa Ethiopia

Background

Hemoglobin A1C (HbA1c) is the predominant hemoglobin found in HbA1 fractions. A1c assay is the recommended assay for diagnosing diabetes and any condition that changes red cell turnover such as Iron deficiency Anemia (IDA), will lead to spurious A1C results. Therefore, the present study was aimed at determining the effect of IDA on HbA1c in diabetic patients attending Black Lion Specialized Teaching Hospital, Addis Ababa, Ethiopia.

Methods

A facility based comparative cross sectional study was conducted on 174 diabetic patients (87 with IDA and 87 without IDA) from April to July 2016. Socio demographic data and clinical conditions were collected using structured questionnaire. Venous blood was collected for performing Complete blood count (CBC) using Cell dyn 1800 hematology analyzer; Serum ferritin, performed by COBAS INTEGRA 400/800 Chemistry analyzer and HbA1c tests, performed by COBAS C 111 analyzer. Data was analyzed using SPSS version 21 software. Pearson’s correlation, chi-square, and independent t-tests were calculated. The data was presented as mean ± SD. A P-value of < 0.05 was taken as statistically significant.

Results

Mean hemoglobin (Hgb), hematocrit (HCT), Mean cell volume (MCV), mean cell hemoglobin (MCH), mean cell hemoglobin concentration (MCHC) were lower in IDA group compared to non-IDA diabetic patients. HbA1c (%) level was significantly lower in IDA group (6.18 ± 1.57) compared with the non-IDA diabetic patients (7.74 ± 1.81) (p < 0.05).

Conclusion

HbA1c is significantly lower in diabetic patients with IDA compared to the non-IDA diabetic patients. Therefore, the authors believe that monitoring these patients using only HbA1c could be misleading, hence physicians and health care providers should take this into account before making any therapeutic decision. Detailed examination including large number of participants employing advanced laboratory techniques is recommended.

Electronic supplementary material

The online version of this article (10.1186/s12878-018-0132-1) contains supplementary material, which is available to authorized users.

Association between Hemoglobin and Hemoglobin A1c: A Data-Driven Analysis of Health Checkup Data in Japan

Background: Interpretation of hemoglobin A_1c (HbA_1c) levels may be confounded by spurious results in anemic persons, but its degree is not well-established. Methods: We used an employer-based health insurance database, containing health checkup data and medical claims data; both were linked via a unique identifier of each beneficiary. This study included persons aged 18–75 years who participated in health checkups, with a confirmed or suspected diagnosis of diabetes. The relationship between hemoglobin (Hb) and HbA_1c is shown in a spline curve using a machine learning technique accounting for patient factors and within-person correlations. Spline curves were also shown in several sub-populations. Results: Overall, a decreased Hb value was associated with a lower HbA_1c value, but the extent differed among populations. In the whole cohort of the type-2 diabetes group (55,420 persons), the curve was generally a plateau in the persons with a Hb value <120–130 g/L. Among the 18,478 persons with HbA_1c around 48 mmol/mol, we observed a liner trend. Among the current glucose-lowering medication users (6253 persons), we found a right upward curve. Conclusions: The relationship between Hb and HbA_1c may not be straightforward, varying among populations of different clinical interest. Our results indicate that a simple formulation between the Hb and HbA_1c values is unlikely.

Influence of iron deficiency on Hb A1c levels in type 2 diabetic patients

AIMS

Hemoglobin A1c (HbA1c) is gold-standard for the assessment of glycemic control in diabetic patients. Previous studies have reported that iron deficiency may elevate A1c concentrations, independent of glycemia. This study aimed to analyze the effect of iron status on HbA1c levels in diabetic patients.

METHODS

661 patients 336 females (228 menopausal and 108 premenopausal) and 325 males (237 age> 50 years and 88 age < 50 years) were recruited. HbA1c, ferritin, fasting plasma glucose, hemogram and medical history were recorded. Analysis of variance ANOVA and Pearson's regression were applied.

RESULTS

patients were divided according gender, age, glycemia and iron status (normal, latent iron deficiency LID, iron deficiency anemia IDA).All groups presented increasing HbA1c values in parallel with iron deficiency, subclinical and anemia, but the level of significance was not homogeneous in the different groups. Controlled premenopausal women HbA1c in normal iron status and IDA groups P = 0.0048, between normal and LID, P = 0.033. Not controlled premenopausal women Normal group and IDAP < 0.001, normal iron status and LID P = 0.019. Controlled menopausal women normal group and IDAP < 0.0001, LID and IDA P = 0.01. Not controlled menopausal women normal group and IDA P = 0.04. Controlled men over 50 years normal and IDA groups P = 0.002, LID and IDA P = 0.02. Controlled young men normal group and LID P = 0.03.

CONCLUSION

This study found a positive correlation between iron deficiency and increased HA1c levels. In diabetic patients with IDA should be interpreted with caution, due to the possibility of spurious increment in HbA1c.

Higher HbA1c and/or glucose levels alter the association patterns between glycated hemoglobin and fasting glucose levels

AIMS

To verify the correlations between HbA1c and fasting glucose levels.

METHODS

A cross-sectional study with 14,249 Chinese subjects. Objective was evaluated in pooled, age-stratified, HbA1c and fasting glucose-stratified populations.

RESULTS

In pooled populations, the Pearson correlation coefficients (PCCs) of males and females were 0.684 (P < 0.001) and 0.800 (P < 0.001), respectively. HbA1c and fasting glucose maintained significant correlations within the group with HbA1c < 6.5% and glucose <7.0 mmol/L and the group with HbA1c ≥ 6.5% and glucose ≥7.0 mmol/L in both males (PCC: 0.342, P < 0.001; and PCC: 0.765, P < 0.001, respectively) and females (PCC: 0.318, P < 0.001 and PCC: 0.788, P < 0.001, respectively). The slopes increased from the group with HbA1c < 6.5% and glucose <7.0 mmol/L to the group with HbA1c ≥ 6.5% and glucose ≥7.0 mmol/L in both males (0.26-0.44) and females (0.31-0.46). Linear regression analysis showed that fasting glucose and age were two common factors positively associated with HbA1C, and red blood cell count and red cell distribution width were two common factors negatively associated with HbA1c in both males and females with HbA1c < 6.5% and glucose <7.0 mmol/L. The correlations changed dramatically in the groups with HbA1c ≥ 6.5% and glucose <7.0 mmol/L and HbA1c < 6.5% and glucose ≥7.0 mmol/L.

CONCLUSIONS

High HbA1c and fasting glucose levels greatly altered the associations between HbA1c, glucose and age.

Role of community health workers in type 2 diabetes mellitus self-management: A scoping review

BACKGROUND

Globally the number of people with Type 2 diabetes mellitus (T2DM) has risen significantly over the last few decades. Aligned to this is a growing use of community health workers (CHWs) to deliver T2DM self-management support with good clinical outcomes especially in High Income Countries (HIC). Evidence and lessons from these interventions can be useful for Low- and Middle-Income countries (LMICs) such as South Africa that are experiencing a marked increase in T2DM prevalence.

OBJECTIVES

This study aimed to examine how CHW have been utilized to support T2DM self-management globally, their preparation for and supervision to perform their functions.

METHOD

The review was guided by a stepwise approach outlined in the framework for scoping reviews developed by Arksey and O'Malley. Peer reviewed scientific and grey literature was searched using a string of keywords, selecting English full-text articles published between 2000 and 2015. Articles were selected using inclusion criteria, charted and content analyzed.

RESULTS

1008 studies were identified of which 54 full text articles were selected. Most (53) of the selected studies were in HIC and targeted mostly minority populations in low resource settings. CHWs were mostly deployed to provide education, support, and advocacy. Structured curriculum based education was the most frequently reported service provided by CHWs to support T2DM self-management. Support services included informational, emotional, appraisal and instrumental support. Models of CHW care included facility linked nurse-led CHW coordination, facility-linked CHW led coordination and standalone CHW interventions without facility interaction.

CONCLUSION

CHWs play several roles in T2DM self-management, including structured education, ongoing support and health system advocacy. Preparing and coordinating CHWs for these roles is crucial and needs further research and strengthening.

Labile haemoglobin as a glycaemic biomarker for patient-specific monitoring of diabetes: mathematical modelling approach

Diabetes mellitus constitutes a major health problem and its clinical presentation and progression may vary considerably. A number of standardized diagnostic and monitoring tests are currently used for diabetes. They are based on measuring either plasma glucose, glycated haemoglobin or both. Their main goal is to assess the average blood glucose concentration. There are several sources of interference that can lead to discordances between measured plasma glucose and glycated haemoglobin levels. These include haemoglobinopathies, conditions associated with increased red blood cell turnover or the administration of some therapies, to name a few. Therefore, there is a need to provide new diagnostic tools for diabetes that employ clinically accessible biomarkers which, at the same time, can offer additional information allowing us to detect possible conflicting cases and to yield more reliable evaluations of the average blood glucose level concentration. We put forward a biomathematical model to describe the kinetics of two patient-specific glycaemic biomarkers to track the emergence and evolution of diabetes: glycated haemoglobin and its labile fraction. Our method incorporates erythrocyte age distribution and utilizes a large cohort of clinical data from blood tests to support its usefulness for diabetes monitoring.

Hemoglobin A1c and diagnosis of diabetes

The prevalence of diabetes is increasing markedly worldwide, especially in China. Hemoglobin A1c is an indicator of mean blood glucose concentrations and plays an important role in the assessment of glucose control and cardiovascular risk. In 2010, the American Diabetes Association included HbA1c ≥6.5% into the revised criteria for the diagnosis of diabetes. However, the debate as to whether HbA1c should be used to diagnose diabetes is far from being settled and there are still unanswered questions regarding the cut-off value of HbA1c for diabetes diagnosis in different populations and ethnicities. This review briefly introduces the history of HbA1c from discovery to diabetes diagnosis, key steps towards using HbA1c to diagnose diabetes, such as standardization of HbA1c measurements and controversies regarding HbA1c cut-off points, and the performance of HbA1c compared with glucose measurements in the diagnosis of diabetes.

Iron status and its association with HbA1c levels in Dutch children with diabetes mellitus type 1

Children with diabetes mellitus (DM) type 1 may be at risk for iron deficiency (ID) although this has been little studied. ID is either an absolute (depleted iron stores) or a functional (restricted iron stores due to chronic inflammation) deficiency each requiring a different therapeutic approach. Unfortunately, absolute ID is often not distinguished from functional ID. Furthermore, iron-deficient anemia may influence hemoglobin A1c (HbA1c) levels. We aimed to determine the prevalence and type of ID and investigate its association with HbA1c levels in pediatric DM type 1 patients. We performed a two-center prospective observational study in which the iron status of Dutch children with DM type 1 was determined during a regular check-up. Absolute ID and functional ID were found in 13/227 (5.7%) and 100/214 (47%) patients, respectively, while only 15/113 (13%) patients also had anemia. HbA1c levels in patients with and without a deprived iron status (absolute or functional) were not significantly different (65 ± 17 vs. 65 ± 16 mmol/mol, p = 0.815).

CONCLUSION

Functional, but not absolute, ID was common in Dutch pediatric DM type 1 patients. HbA1c levels were not associated with ID, which can be explained by the relatively mild deprived iron status in our patients.

TRIAL REGISTRATION

NTR4642 What is Known: • Iron deficiency is either an absolute (depleted iron stores) or a functional (restricted iron stores due to chronic inflammation) deficiency each requiring a different therapeutic approach. • Children with diabetes mellitus type 1 may be at risk for both types of iron deficiency and this can influence their hemoglobin A1c levels although this has been little studied. What is New: • In Dutch children with diabetes mellitus type 1, functional, but not absolute iron deficiency, is common and should not be treated with iron replacement therapy. • Hemoglobin A1c levels were not associated with iron deficiency, probably due to the relatively mild deprived iron status in our patients.

Effect of gallic acid on purinergic signaling in lymphocytes, platelets, and serum of diabetic rats

Diabetes Mellitus (DM) is associated with an increased susceptibility to various infections, which might be attributed to changes in immune response owing to chronic hyperglycemia. Nucleoside triphosphate diphosphohydrolase (NTPDase), 5'-nucleotidase, and adenosine deaminase (ADA) are important enzymes involved in the generation of anti-aggregant and anti-inflammatory microenvironments. The aim of this study was to evaluate the effect of gallic acid (GA) on the hematological parameters and ectonucleotidase activities in platelets, lymphocytes, and serum of diabetic rats. Experimental rats were categorized into 4 groups: (i) control -saline, (ii) control - GA, (iii) diabetic -saline, and (iv) diabetic - GA. One week after induction of DM using streptozotocin (65 mg/kg), GA (30 mg/kg) or saline was orally administered to the rats for 21 days. Our results demonstrated that the concentration of mean corpuscular hemoglobin was decreased, whereas that of red cell distribution was increased in the diabetic group, however, GA could revert these alterations. Moreover, in diabetic rats, GA reverted the increase in ATP and ADP hydrolysis and ADA activity in lymphocytes, and it prevented the increase in NTPDase and ADA activities in platelets. A decrease in ATP hydrolysis and an increase in ADP and AMP hydrolysis were observed in the serum of diabetic rats; however, GA treatment could solely revert changes in ATP hydrolysis. Our study suggests that GA exhibits beneficial effects on immuno- and thrombo-regulatory responses in DM and that these effects may be related to the modulation of purinergic signaling.

Intravenous Ferric Carboxymaltose in Patients with Type 2 Diabetes Mellitus and Iron Deficiency: CLEVER Trial Study Design and Protocol

INTRODUCTION

HbA1c is the gold standard for glycemic control in pre-diabetes and diabetes. However, its validity has been questioned, especially in the presence of imbalanced iron homeostasis. The CLEVER trial aims to evaluate the relationship between iron deficiency and HbA1c (a biomarker for the diagnosis and therapeutic monitoring of type 2 diabetes) in a randomized, placebo-controlled, multicenter clinical trial.

METHODS

The CLEVER (intravenous ferric CarboxymaLtosE for improVement of mEtabolic parameters in type 2 diabetes patients with iRon deficiency) trial is a randomized, single-blind, proof-of-concept study with two treatment arms. 140 men and women diagnosed with type 2 diabetes and iron deficiency will receive either placebo or ferric carboxymaltose (500 or 1000 mg) as intravenous infusions. The primary outcome measure is the change in HbA1c level between baseline and after 12 weeks of treatment. Secondary endpoints include change of iron status and metabolic markers as well as treatment safety and tolerability. Furthermore, the potential clinical improvement in quality of life and the reliability of HbA1c measurement in patients with type 2 diabetes and iron deficiency will be investigated.

RESULTS

Both excessive iron and iron deficiency are associated with metabolic disorders; excessive iron is a risk factor for the development of diabetes, whereas iron deficiency is associated with obesity and insulin resistance. It has been suggested that iron increases insulin secretion in pancreatic beta-cells. CLEVER is the first study to investigate the hypothesis that intravenous substitution with ferric carboxymaltose reduces HbA1c levels in patients with type 2 diabetes and iron deficiency, thereby improving metabolic status and quality of life.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov (NCT01513369).

FUNDING

GWT-TUD GmbH acts as sponsor of the clinical trial. Financial support is provided by Vifor Pharma.