scholarly journals Bursting the bubble: hereditary spherocytosis masking poor glycemic control

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ashley Gordon ◽  
Deep Pachu ◽  
Matthew J. Hadfield
Keyword(s):  
Case Report ◽  
Glycemic Control ◽  
Blood Cells ◽  
Hemoglobin A1c ◽  
Hereditary Spherocytosis ◽  
Poor Glycemic Control ◽  
Physiological Conditions ◽  
Patients With Diabetes ◽  
High Utility ◽  
Nephrotic Range Proteinuria

Abstract Hemoglobin A1c (HbA1c) is a very common measure utilized to diagnose diabetes and to monitor the level of glycemic control during the course of management. Despite the high utility of HbA1c, it has some limitations. Physiological conditions that affect the lifespan of red blood cells (RBCs) can falsely elevate or lower HbA1c results. In this case report, we present a case of a patient who was found to have hereditary spherocytosis (HS) after developing nephrotic range proteinuria. The patient had diabetes that was previously thought to be well controlled, but his HS was masking his poor glycemic control. This case highlights the importance of understanding the limitations of the HbA1c in managing patients with diabetes.

scholarly journals Barriers to care in patients with diabetes and poor glycemic control—A cross-sectional survey

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176135 ◽  
Author(s):  
Kerry A. McBrien ◽  
Christopher Naugler ◽  
Noah Ivers ◽  
Robert G. Weaver ◽  
David Campbell ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Barriers To Care ◽  
Poor Glycemic Control ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Patients With Diabetes

scholarly journals Correlation between short- and mid-term hemoglobin A1c and glycemic control determined by continuous glucose monitoring

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jen-Hung Huang ◽  
Yung-Kuo Lin ◽  
Ting-Wei Lee ◽  
Han-Wen Liu ◽  
Yu-Mei Chien ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Continuous Glucose Monitoring ◽  
Hemoglobin A1c ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Before And After ◽  
Patients With Diabetes

Abstract Background Glucose monitoring is vital for glycemic control in patients with diabetes mellitus (DM). Continuous glucose monitoring (CGM) measures whole-day glucose levels. Hemoglobin A1c (HbA1c) is a vital outcome predictor in patients with DM. Methods This study investigated the relationship between HbA1c and CGM, which remained unclear hitherto. Data of patients with DM (n = 91) who received CGM and HbA1c testing (1–3 months before and after CGM) were retrospectively analyzed. Diurnal and nocturnal glucose, highest CGM data (10%, 25%, and 50%), mean amplitude of glycemic excursions (MAGE), percent coefficient of variation (%CV), and continuous overlapping net glycemic action were compared with HbA1c values before and after CGM. Results The CGM results were significantly correlated with HbA1c values measured 1 (r = 0.69) and 2 (r = 0.39) months after CGM and 1 month (r = 0.35) before CGM. However, glucose levels recorded in CGM did not correlate with the HbA1c values 3 months after and 2–3 months before CGM. MAGE and %CV were strongly correlated with HbA1c values 1 and 2 months after CGM, respectively. Diurnal blood glucose levels were significantly correlated with HbA1c values 1–2 months before and 1 month after CGM. The nocturnal blood glucose levels were significantly correlated with HbA1c values 1–3 months before and 1–2 months after CGM. Conclusions CGM can predict HbA1c values within 1 month after CGM in patients with DM.

scholarly journals Association ofHelicobacter pyloriInfection with Glycemic Control in Patients with Diabetes: A Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Chika Horikawa ◽  
Satoru Kodama ◽  
Kazuya Fujihara ◽  
Yoko Yachi ◽  
Shiro Tanaka ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Hemoglobin A1c ◽  
Meta Analysis ◽  
Cross Sectional ◽  
Literature Searches ◽  
Significant Difference ◽  
Patients With Diabetes ◽  
Mean Differences ◽  
Design And Methods

Objective. To assess the association betweenHelicobacter pylori(HP) infection and glycemic control in patients with diabetes through a meta-analytic approach.Research Design and Methods. Electronic literature searches were conducted for cross-sectional studies that examined the hemoglobin A1c (A1C) level by whether patients with diabetes were or were not carriers of HP. Mean differences in A1C between groups with and without HP infection were pooled with a random-effects model.Results. Thirteen eligible studies were included in this meta-analysis. Overall, the HP carriers did not have significantly higher A1C levels compared with HP noncarriers (mean difference (95% CI), 0.19% (−0.18 to 0.46),P = 0.16). When the analysis was limited to studies targeting patients with type 1 diabetes, there was also no significant difference in A1C (0.69% (−0.31 to 1.68),P = 0.18).Conclusions. There was insufficient evidence that HP infection worsened glycemic control in patients with diabetes.

scholarly journals Sleeping Duration, Napping and Snoring in Association with Diabetes Control among Patients with Diabetes in Qatar

2021 ◽  
Vol 18 (8) ◽  
pp. 4017
Author(s):  
Hiba Bawadi ◽  
Asma Al Sada ◽  
Noof Al Mansoori ◽  
Sharifa Al Mannai ◽  
Aya Hamdan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Glycemic Control ◽  
Sleep Duration ◽  
Vegetable Intake ◽  
Activity Level ◽  
Poor Glycemic Control ◽  
Age And Gender ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
And Gender

Background: Poor glycemic control is associated with chronic life-threatening complications. Several studies have revealed that sleep status is associated with glycemic control. Aim: to examine the association between sleep duration, quality and glycemic control among adults with diabetes. Methods: Data on 2500 participants aged 18–60 years were collected from the Qatar Biobank (QBB). Sleep duration and quality were assessed by a self-completed health and lifestyle questionnaire, and glycemic control was assessed using HbA1c. Logistic regression was used to assess the association between sleep duration, napping, snoring and poor glycemic control. Results: After adjusting for age and gender, sleep duration was not associated with poor glycemic control. Lack of association persisted after controlling for smoking, physical activity, education, BMI, fruit and vegetable intake, insulin and medication use. However, sleeping for long hours at night (≥8 h) had a trend in increasing the risk of poor glycemic control (OR = 1.28; 95% CI: 0.94–1.74). Napping was positively associated with poor glycemic control. After adjusting for age and gender, patients who reported “sometimes, frequently, or always” napping had more than 30% increased risk of poor control as compared to patients who reported “never/rarely” napping. Snoring was not associated with poor glycemic control among the study sample when adjusted for age and gender (p = 0.61). Other factors were found to be associated with a better glycemic control such as female, high educational and high physical activity level. Conclusions: our results suggest that napping may be an independent risk factor for a poor glycemic control in diabetes; further investigations are required.

scholarly journals Study of the Glycemic Control and the Biochemical Profile in the Gabonese Diabetic Patient

2017 ◽  
Vol 2 (1) ◽  
Keyword(s):  
Glycemic Control ◽  
Diabetic Patient ◽  
Hepatic Steatosis ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Biochemical Profile ◽  
Patients With Diabetes ◽  
Hba1c Control ◽  
Sub Saharan

Background: Management of diabetes remains a challenge in Africa. Objective: The aim of this study was to evaluate the glycemic control in diabetics patients with diabetes in Gabon sub-Saharan country. Methods: This study involving 87 diabetic patients (Men25 ; Women : 62) were investigated anthropometric parametres, glycemic control and biochemical profil. Results: All our results show that with an average age of 53±11.02 years diabetic Gabonese patients present a poor glycemic control (P <0.0001): Glycemia (Control: 4.95 ± 1.16 mmol/l vs Diabetic : 10.27 ± 4.47 mmol/l) ; HbA1c (Control : 5.05 ± 0.46% vs Diabetics : 7.40 ± 2.36%) associated with a hepatic steatosis : Alat ( Alat : Control: 17.25 ± 13.7u/l vs Diabetic: 25.84 ± 13.19 u/l), Asat (Control: 18 ± 13.20 u/l vs Diabetic: 36.93 ± 17.87 u/l). Conclusion: Is evidence, a high proportion of patients with diabetes remains poorly controlled. This is the case in Gabon diabetic patients.

scholarly journals Evaluation and follow up patients with diabetes mellitus who attended Sabratha diabetic center

2020 ◽  
Vol 8 (2) ◽  
pp. 340-343
Author(s):  
Khaled Ali ALawaini ◽  
Hanen Daw Sweed ◽  
Khalod Mohamed Sawesi ◽  
Fatma Abdusalam Kamoka ◽  
Sara Abugalel Alakrme ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Blood Glucose Concentration ◽  
Microvascular Disease ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Diabetes Incidence ◽  
Patients With Diabetes ◽  
Public Health Challenge ◽  
The Mean ◽  
Mean Blood Glucose

Background: Diabetes is a public health challenge facing the world. Awareness and long term diabetes have an enormous effect, including cardiovascular disease and microvascular disease. Objective: This study aimed to estimate diabetes incidence and it is complications. Methods: A hundred diabetic patients who attended Galil diabetic center in Sabratha city had participated in this study in May 2013. Results: The mean age was 56 years old. Diabetes was more prevalent in females than in males (62%vs38%). The mean blood glucose concentration was 168 mg/dl, reflecting poor glycemic control, as 16% of diabetic patients moved to treatment with insulin. Conclusion: Poor glycemic control means of fasting plasma glucose was 168 mg/dl, and 16% started to use insulin therapy, along with 15% had hypertension.

scholarly journals Correlates of poor glycemic control among patients with diabetes initiating hemodialysis for end-stage renal disease

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Jinnie J. Rhee ◽  
Victoria Y. Ding ◽  
David H. Rehkopf ◽  
Cristina M. Arce ◽  
Wolfgang C. Winkelmayer
Keyword(s):  
Glycemic Control ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Poor Glycemic Control ◽  
Patients With Diabetes ◽  
Stage Renal Disease ◽  
End Stage

scholarly journals The Association of Perioperative Glycemic Control with Postoperative Surgical Site Infection Following Elective Foot Surgery in Patients with Diabetes

2017 ◽  
Vol 2 (2) ◽  
pp. 2473011416S0000 ◽  
Author(s):  
Jourdan Cancienne ◽  
Minton Cooper ◽  
Brian Werner
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Surgical Site Infection ◽  
Hba1c Level ◽  
Roc Analysis ◽  
Hemoglobin A1c ◽  
Site Infection ◽  
Foot Surgery ◽  
Increased Risk ◽  
Patients With Diabetes

Category: Midfoot/Forefoot Introduction/Purpose: Diabetes mellitus has been associated with an increased risk for postoperative surgical site infection (SSI) following foot and ankle surgery; however, among patients with diabetes, the level of perioperative glycemic control may affect the risk of postoperative SSI. There remains little evidence to support a perioperative hemoglobin A1c (HbA1c) level that could serve as a threshold for a significantly increased risk of postoperative SSI following foot surgery. The primary goal of the present study was to evaluate the association of perioperative glycemic control as demonstrated by hemoglobin a1c (HbA1c) in patients with diabetes with the incidence of postoperative SSI following elective foot surgery. Our secondary objective was to calculate a threshold level of HbA1c above which the risk of postoperative SSI after foot surgery increases significantly in patients with diabetes. Methods: A national administrative database was queried for patients who underwent common elective foot surgeries, including hallux valgus corrections, hallux rigidus correction and hammertoe corrections among others. Patients who underwent more complex procedures and patients with concomitant hindfoot procedures were excluded. Patients with diabetes mellitus who had a perioperative HbA1c level recorded within 3 months of surgery were identified; and were then stratified into thirteen mutually exclusive groups based on their hemoglobin a1c in 0.5 mg/dl increments from < 5.49 mg/dl to > 11.5 mg/dl. The incidence of SSI was determined by either a diagnosis or procedure for SSI within 1 year postoperatively using CPT and ICD-9 codes, and was calculated for each HbA1c patient group. A receiver operating characteristic (ROC) analysis was performed to determine an optimal threshold value of the HbA1c above which the risk of postoperative SSI was significantly increased. Results: 4,744 patients who underwent forefoot surgery with diabetes and a perioperative HbA1c recorded within 3 months of surgery in the database were included in the study. The rate of deep SSI requiring irrigation and debridement within one year postoperatively stratified by HbA1c is pictured in Figure 1, which ranged from a low of 2.5% to a high of 11.8% and was significantly correlated with increasing HbA1c levels (P < 0.0001). The results of ROC analysis determined that the inflection point of the ROC curve corresponded to an HbA1c level above 7.5 mg/dL (P < 0.0001, AUC = 0.622, spec. = 75%, sens. = 44%). Conclusion: The risk of postoperative SSI following elective foot surgery in patients with diabetes mellitus increases significantly as the perioperative HbA1c increases. ROC analysis determined that a perioperative HbA1c above 7.5 mg/dL could serve as a threshold for a significantly increased risk of postoperative SSI following elective foot surgery.

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