Characteristics of monitored diabetic patients by glycated haemoglobin (HbA1c)

2016 ◽  
Vol 5 (05) ◽  
pp. 4563
Author(s):  
Tariq A. Zafar
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Haemoglobin ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Age Group ◽  
Hba1c Test ◽  
Significant Difference ◽  
Tract Infections ◽  
The Impact

Glycated haemoglobin (HbA1c) test indicates the blood glucose levels for the previous two to three months. Using HbA1c test may overcome many of the practical issues and prevent infections such as urinary tract infections (UTIs). The study aimed to evaluate the impact of glycemic control using HbA1c test to understand patient characteristics and UTIs prevalence. Glycemic control was evaluated by measuring HbA1c for a total of 208 diabetes patients who were regularly attending diabetes center in Al-Noor specialist hospital in Makkah.  The results showed that good and moderate glycemic controlled patients were 14.9% and 16.9% respectively while the poor glycemic patients were 68.3%. Among the good improved glycemic control, 83.9% were females, 48.4% were from age group (15-44y). Among the moderately improved glycemic control, 68.4% were females, 54.3% were from age group (45-64 y) with no significant difference. The total number of the patients with positive UTIs was 55 (26.4%) while the total number of patients with negative was UTIs 153 (73.6%). Among the positive UTIs, 76.3% were with poor glycemic control while only 12.3% and 11% were moderate and good improved glycemic control respectively. Among the negative UTIs, 65.3% were with poor glycemic control while only 19% and 15.7% were with moderate and good improved glycemic control respectively.  Prevalence of UTIs among diabetic patients was not significant (p > 0.05). It was concluded that HbA1c was useful monitoring tool for diabetes mellitus and may lead to improved outcomes. Using a HbA1c test may overcome many of the practical issues that affect the blood glucose tests.

scholarly journals Glycemic Control & Morbidity in Diabetics With COPD Exacerbation. A Retrospective Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A414-A414
Author(s):  
Ibrahim Naoum ◽  
Abedalghani Abedalhalim ◽  
Amir Aker ◽  
Luai Khalaili ◽  
Sameer Kassem
Keyword(s):  
Mechanical Ventilation ◽  
Glycemic Control ◽  
Population Based ◽  
Chronic Obstructive ◽  
P Value ◽  
Diabetic Patients ◽  
Copd Exacerbation ◽  
Copd Exacerbations ◽  
Significant Difference ◽  
The Impact

Abstract Background: Diabetes and chronic obstructive pulmonary disease (COPD) are widely prevalent and comorbidity with these diseases is quite common. However, there is limited data on the interrelation between glycemic control and COPD exacerbations in diabetic patients. Objective: To study the association between pre-admission glycemic control and COPD clinical outcomes including mortality, risk of hospital readmission and the need for mechanical ventilation. Methods: A retrospective population-based cohort study. We screened for patients with both diabetes and COPD exacerbation aged 35 years and above. Pre-admission glycemic control was defined by the last HBA1C level prior to hospitalization. Patients with HBA1C>8% were defined as uncontrolled. We evaluated the difference between controlled and uncontrolled groups in the rates of mortality, readmission and the need for mechanical ventilation. We examined demographic and clinical parameters that might reflect COPD severity including: COPD medication use, blood hemoglobin, platelets, LDH and CRP levels. Results: 513 hospitalizations with diabetes and COPD were screened. 222 hospitalization were excluded either due to unestablished diagnosis of COPD or due to lack of HBA1C test in the preceding year. Of the remaining 291, 208 admissions were with controlled diabetes whereas 83 were uncontrolled. Although not statistically significant, the rate of re-hospitalization was higher in the uncontrolled group (OR 1.99, CI 0.99–4.0, p-value 0.051). There was no statistically significant difference in mortality (OR 1.6, CI 0.73–3.5, p-value 0.243). The use of oxygen and the need for noninvasive mechanical ventilation were significantly higher in the uncontrolled group (67.5% vs. 52.4%, p-value 0.019, 33.7% versus 18.8%, p-value 0.006, respectively). There was no significant difference in possible confounders tested between the groups. Conclusion: Uncontrolled diabetes may adversely affect patients with COPD exacerbation. Larger studies are needed to conclusively determine the impact of glycemic control on COPD morbidity and mortality.

Pre-Dialysis Glycemic Control is An Independent Predictor of Mortality Intype Ii Diabetic Patients on Continuous Ambulatory Peritoneal Dialysis

1999 ◽  
Vol 19 (2_suppl) ◽  
pp. 179-183 ◽  
Author(s):  
Mai-Szu Wu ◽  
Chun-Chen Yu ◽  
Ching-Herng Wu ◽  
Jeng Yi Haung ◽  
Mei-Lin Leu ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Glycemic Control ◽  
Serum Albumin ◽  
Poor Glycemic Control ◽  
Control Group ◽  
Diabetic Patients ◽  
Type Ii ◽  
Good Glycemic Control ◽  
Cholesterol Levels ◽  
Significant Difference

Objective To evaluate the impact of pre-dialysis glycemic control on clinical outcomes for type II diabetic patients on continuous ambulatory peritoneal dialysis (CAPO). Materials and Methods One hundred and one type II diabetic patients receiving CAPO for at least 3 months were enrolled in a single institute. The patients were classified into two groups according to status of glycemic control. In the good glycemic control group, more than 50% of blood glucose determinations were within 3.3 11.0 mmol/L and glycosylated hemoglobin (HbA 1 C) levels were within 5% -10% at all times. In the poor glycemic control group, less than 50% of blood glucose determinations were within 3.3 -11.0 mmol/L, or HbA1C levels were above 10% at least 6 months before peritoneal dialysis was started. In addition to glycemic control status, pre-dialysis serum albumin, cholesterol levels, residual renal function, peritoneal membrane function, and modes of glycemic control were also recorded. Results The patients with good glycemic control had significantly better survival than those with poor glycemic control (p < 0.01). There was no significant difference in pre-dialysis morbidity between two groups. No significant differences were observed in patient survival between patients with serum albumin above 30 g/L and those with serum albumin under 30 g/L; between those with cholesterol levels above or below 5.2 mmol/L; and between those with different peritoneal membrane solute transport characteristics as evaluated by a peritoneal equilibration test (PET). Furthermore, there was no significant difference in survival between patients who controlled blood sugar by diet and those who controlled it by insulin. Cardiovascular disease and infection are the major causes of death in both groups. Although good glycemic control predicts better survival, it does not change the pattern of mortality in diabetic patients maintained on CAPO. Conclusions Glycemic control before starting dialysis is a predictor of survival for type II diabetic patients on CAPO. Patients with poor glycemic control predialysis are associated with increased morbidity and shortened survival.

scholarly journals Nasopharyngeal Meningococcal Carriage among Children and Adolescents in Turkey in 2018: An Unexpected High Serogroup X Carriage

Children ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 871
Author(s):  
Mahmut Can Kizil ◽  
Omer Kilic ◽  
Mehmet Ceyhan ◽  
Merve Iseri Nepesov ◽  
Adem Karbuz ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Control Strategies ◽  
Age Groups ◽  
Antibiotic Use ◽  
Age Group ◽  
Upper Respiratory Tract ◽  
Carriage Rate ◽  
Significant Difference ◽  
Tract Infections ◽  
The Impact

Meningococcal carriage studies and transmission modeling can predict IMD epidemiology and used to define invasive meningococcal disease (IMD) control strategies. In this multicenter study, we aimed to evaluate the prevalence of nasopharyngeal Neisseria meningitidis (Nm) carriage, serogroup distribution, and related risk factors in Turkey. Nasopharyngeal samples were collected from a total of 1267 children and adolescents and were tested with rt-PCR. Nm carriage was detected in 96 participants (7.5%, 95% CI 6.1–9.0), with the peak age at 13 years (12.5%). Regarding age groups, Nm carriage rate was 7% in the 0–5 age group, was 6.9%in the 6–10 age group, was 7.9% in the 11–14 age group, and was 9.3% in the 15–18 age group. There was no statistically significant difference between the groups (p > 0.05). The serogroup distribution was as follows: 25% MenX, 9.4% MenA, 9.4% MenB, 2.1% MenC, 3.1% MenW, 2.1% for MenY, and 48.9% for non-groupable. The Nm carriage rate was higher in children with previous upper respiratory tract infections and with a high number of household members, whereas it was lower in children with antibiotic use in the last month (p < 0.05 for all). In this study, MenX is the predominant carriage strain. The geographical distribution of Nm strains varies, but serogroup distribution in the same country might change in a matter of years. Adequate surveillance and/or a proper carriage study is paramount for accurate/dynamic serogroup distribution and the impact of the proposed vaccination.

scholarly journals IMPACT OF PHYSICIAN LED LIFE STYLE MODIFICATIONS (DIET AND DAILY STEP COUNT BY USING PEDOMETER) ON GLYCEMIC CONTROL OF PATIENTS WITH TYPE II DIABETIC

2021 ◽  
Vol 71 (2) ◽  
pp. 478-81
Author(s):  
Rimsha Azhar ◽  
Khurshid Uttra ◽  
Andaleeb Khan ◽  
Marriam Hussain Awan ◽  
Ayesha Anwer ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Life Style ◽  
Step Count ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Type Ii ◽  
Daily Step ◽  
Significant Difference ◽  
Daily Step Count ◽  
The Impact

Objective: To determine the impact of physician led life style modifications (diet and daily step count by using pedometer) on glycemic control of type II diabetic patients Study Design: Quasi experimental study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi, Aug 2018 to Feb 2019. Methodology: The sample population comprised of 200 diabetic patients reporting for the routine follow-up at a tertiary care hospital in Rawalpindi. Patients were divided into two groups by random method. Group A had the patients with continuation of the routine anti-diabetic medication while group received the physician led life style modifications in addition to the routine anti diabetic medication. Values of HBA1c among the groups were compared three months after the start of study. Results: Mean age of the patients was 42.19 ± 6.175 years. Mean duration of DM in the study participants was 4.52 ± 4.166 years. Out of 115 patients were male while 85 were female. HBA1c in the intervention group was 7.96% ± 0.39 while in the control group was 7.04% ± 0.81. Difference between the two groups was statistically significant (p-value<0.01). Conclusion: This study showed a significant difference in glycemic control of patients who received physician led life style modification in addition to conventional biological treatment than those who only received the routine anti-diabetic medication. Physicians should be trained to impart this sort of education to the diabetic patients in routine diabetic clinics.

scholarly journals Brief communication (Original). Correlation of glycated albumin with self blood glucose monitoring in diabetic patients on hemodialysis taking erythropoietin

2014 ◽  
Vol 8 (3) ◽  
pp. 387-392
Author(s):  
Khalidah M. Bador ◽  
Sharifah K.A. Kamaruddin ◽  
Norita T. Yazid
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Albumin ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Bromocresol Green ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Albumin Ratio ◽  
Significant Difference

AbstractBackground: Serum glycated albumin (GA) is a marker of glycemic control in diabetic renal patients, but studies were limited by the use of few random glucose values to define glycemic control.Objectives: To determine whether GA correlated with self blood glucose monitoring is better than HbA1c in hemodialyzed diabetic patients taking erythropoietin.Methods: This was a cross-sectional study of diabetic patients on hemodialysis with and without erythropoietin. GA was measured by ELISA and HbA1c by ion-exchange HPLC. GA was reported as the GA/albumin ratio where albumin was measured using bromocresol green. The average capillary blood glucose level over the preceding three months (CBG) was calculated from self-reported daily prebreakfast, prelunch, and prebed glucose meter readings.Results: Thirty-four patients were recruited; 18 were taking erythropoietin (6000 units per week) and 16 had never received erythropoietin. HbA1c correlated poorly with CBG in patients taking erythropoietin (r = -0.014, P = 0.96) compared with patients without erythropoietin (r = 0.579, P = 0.02). The correlation of GA/albumin ratio with CBG in the erythropoietin group (r = 0.612, P = 0.007) was similar to the nonerythropoietin group (r = 0.854, P < 0.001). The slope for HbA1c versus CBG was 2.8-fold greater in patients without erythropoietin compared with those taking erythropoietin. There was no significant difference in the slopes for GA/albumin ratio versus CBG between the two patient groups (P > 0.05).Conclusion: In diabetic patients on hemodialysis and taking low doses of erythropoietin, GA/albumin is a better marker of glycemic control than HbA1c.

Predialysis Glycemic Control is An Independent Predictor of Clinical Outcome in Type Ii Diabetics on Continuous Ambula Tory Peritoneal Dialysis

1997 ◽  
Vol 17 (3) ◽  
pp. 262-268 ◽  
Author(s):  
Chun-Chen Yu ◽  
Mai-Szu Wu ◽  
Ching-Herng Wu ◽  
Chih-Wei Yang ◽  
Jeng-Yi Huang ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Patient Survival ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Type Ii ◽  
Peritoneal Membrane ◽  
Good Glycemic Control ◽  
Cholesterol Levels ◽  
Significant Difference ◽  
Type Ii Diabetics

Objective To evaluate the correlation between predialysis glycemic control and clinical outcomes for type II diabetic patients on continuous ambulatory peritoneal dialysis (CAPD). Design Sixty type II diabetic patients on CAPD were classified into 2 groups according to the status of glycemic control. In group G (good glycemic control), more than 50% of blood glucose determinations were within 3.3 11 mmol/L and the glycosylated hemoglobin (HbA 1 C) level was within 5 -10% at all times. In group P (poor glycemic control), fewer than 50% of blood glucose determinations were within 3.3 -11 mmol/L or HbA 1 C level was above 10% at least once during the follow-up duration. In addition to glycemic control status, predialysis serum albumin, cholesterol levels, residual renal function, peritoneal membrane function, and the modes of glycemic control were also recorded. Setting Dialysis Unit, Department of Nephrology of a single university hospital. Patients From February 1988 to October 1995, 60 type II diabetic patients receiving CAPD for at least 3 months were enrolled. Main Outcome Measures Morbidities before and during the dialysis period, patient survival, and causes of mortality. Results The patients with good glycemic control had significantly better survival than patients with poor glycemic control (p < 0.01). There was no significant difference in predialysis morbidity between the two groups. No significant differences were observed in patient survival between the patients with serum albumin greater than 30 g/L and those with less than 30 g/L (p = 0.77), with cholesterol levels greater or less than 5.18 mmol/L (p = 0.73), and with different peritoneal membrane solutetrans port characteristics evaluated by peritoneal equilibration test (p = 0.12). Furthermore, there was no significant difference in survival whether the patients controlled blood sugar by diet or with insulin (p = 0.33). Cardiovascular disease and infection were the major causes of death in both groups. Although good glycemic control predicts better survival, it does not change the pattern of mortality in diabetics maintained on CAPD. Conclusions Glycemic control before starting dialysis is a predictor of survival for type II diabetics on CAPD. Patients with poor glycemic control predialysis are associated with increased morbidity and shortened survival.

scholarly journals Medication Adherence to Oral Hypoglycemic Agents Among Type II Diabetic Patients and Their Clinical Outcomes with Special Reference to Fasting Blood Glucose and Glycosylated Hemoglobin Levels

2015 ◽  
Vol 11 (3) ◽  
pp. 226-232 ◽  
Author(s):  
SS Shrestha ◽  
R Shakya ◽  
BM Karmacharya ◽  
P Thapa
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Special Reference ◽  
Clinical Outcomes ◽  
Glycosylated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Hypoglycemic Agents ◽  
Diabetic Patients ◽  
Age Group ◽  
Oral Hypoglycemic Agents

Background Oral hypoglycemic agents (OHAs) are the major treatment for people with type 2 diabetes mellitus (DM2). However, non-adherence to OHAs remains as one of the main reasons for poor glycemic control. Objectives To assess the adherence pattern to OHAs and clinical outcomes with special reference to fasting blood glucose (FBG) level and glycosylated hemoglobin (HbA1c) levels. Methods Informed consent was obtained from patients fulfilling the criteria and from the patient party in case of incapacitated patients. Information was obtained by interviewing them and filled in the appropriate questionnaire. All the medical information of the patients was obtained from the medical case records and laboratory reports. Results OHAs had been discontinued by 25% of patients. Overall 38% had ever discontinued and/ or often missed OHAs. Intentional discontinuation of OHAs attributed for 72% of the patients, followed by forgetfulness (42.9%), carelessness (30.6%), and hypoglycemia, (24%). There were 50.50% patients who had uncontrolled FBG (>130 mg/dl) level and 39% had uncontrolled HbA1c (≥ 7%) level. Taking reference age group 51-60 years, control of FBG level was found to be statistically associated with the decreasing age group (p = 0.006, OR = 4.8) as well as increasing age group (p = 0.008, OR = 4.034). There was significant association between controlled HbA1c level and patients’ knowledge about the precautions to be taken while using OHAs (p = 0.044, OR = 4). However, there was no significant association between glycemic control and OHAs adherence. Conclusion Majority of the patients who had missed OHAs attributed it to forgetfulness. Hypoglycemia may also be one of the contributing factors for poor adherence to OHAs. However no association was found between adherence and various other factors like age groups, treatment complexity, health literacy and social or family support. DOI: http://dx.doi.org/10.3126/kumj.v11i3.12508 Kathmandu Univ Med J 2013; 43(3):226-232

scholarly journals Magnitude and predictors of poor glycemic control among patients with diabetes attending public hospitals of Western Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247634
Author(s):  
Adugna Oluma ◽  
Muktar Abadiga ◽  
Getu Mosisa ◽  
Werku Etafa
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Diabetes Complications ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Duration Of Diabetes ◽  
Blood Glucose Test ◽  
Patients With Diabetes ◽  
Glucose Test ◽  
Western Ethiopia

Background Diabetes is one of the most prevalent non-communicable diseases globally, which rapidly is increasing in developing countries. Ethiopia is also facing growing morbidity and mortality related to diabetes complications. Thus, dealing with glycemic control is essential for controlling the development of devastating acute and chronic complications related to diabetes. Therefore, this study aims to assess the magnitude and predictors of poor glycemic control among diabetic patients in western Ethiopia. Methods The cross-sectional study design was employed on a sample of 423 diabetic patients. A systematic random sampling method was employed. An interviewer-administered structured questionnaire was used. The data entered into Epi data version 3.1 and exported into Statistical Package for the Social Sciences window version 24 for analysis. All variables significant at p-<0.25 in bivariate were entered into multivariate analysis. The multivariable logistic regressions were used to determine predictors’ poor glycemic control by considering the Adjusted Odds Ratio at CI 95% and the significance level was set at p <0.05. Results The magnitude of poor glycemic control was 64.1%. Being females (AOR = 1.684,95%CI = 1.066,2.662), duration of diabetes >8years (AOR = 2.552,95%CI = 1.397, 4.665), presence of diabetes complication (AOR = 2.806,95%CI = 1.594,4.941), negligence of blood glucose test at home (AOR = 1.720, 95%CI = 1.078, 2.743), poor self-care behavior (AOR = 1.787, 95%CI = 1.083,2.959) and poor self-efficacy (AOR = 1.934, 95%CI = 1.078,3.469) were significant predictors of poor glycemic control. Conclusion The proportion of poor glycemic control was high which was nearly comparable to that reported from many countries. This could be due to factors that were significantly associated with poor glycemic control like lack of home blood glucose test, increased duration of diabetes, presence of diabetes complications, poor self-efficacy, and poor self-care behaviors. Each were significant independent predictors of poor glycemic control. Thus, we recommend patients with diabetes and health care providers enhancing self-monitoring practices, and preventing potential complications should be a priority concern to improve blood glucose levels. Further studies are also recommended to explore important factors which were not identified by the current study.

778-P: The Impact of Self-Management Blood Glucose (SMBG) Real-Time Decision Support on Glycemic Control in Adult with T1D in China

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 778-P
Author(s):  
ZIYU LIU ◽  
CHAOFAN WANG ◽  
XUEYING ZHENG ◽  
SIHUI LUO ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Decision Support ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Real Time ◽  
Self Management ◽  
The Impact

scholarly journals Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 391
Author(s):  
Junhee Ahn ◽  
Youngran Yang
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Fasting Blood Glucose ◽  
Regular Physical Activity ◽  
Poor Glycemic Control ◽  
Rural Residents ◽  
Factors Associated ◽  
The Poor ◽  
Positive Urine

(1) Background: Glycemic control is an effective way to reduce the cardiovascular complications of diabetes. The purpose of this study was to identify the factors associated with poor glycemic control amongst rural residents with diabetes in Korea. (2) Methods: This cross-sectional analysis was conducted amongst a total of 522 participants who had completed baseline health examinations for the Korean Genome and Epidemiology Study (KoGES) Rural Cohort from 2005 to 2011. The subjects were divided into two groups: the good glycemic control group (GCG) (glycosylated hemoglobin (HbA1C) < 7%) and the poor GCG (HbA1C ≥ 7%). Logistic regression was used to examine the role of sociodemographics, health-related behavior, comorbidity and diabetes-related and clinical factors in poor glycemic control amongst rural residents with diabetes. (3) Results: In total, 48.1% of participants were in the poor GCG. Poor GCG was significantly associated with drinking (odds ratio (OR) = 0.42, 95% CI = 0.24–0.71), lack of regular physical activity (OR = 1.68, 95% CI = 1.03–2.76), fasting blood glucose (FBG) > 130 mg/dL (OR = 7.80, 95% CI = 4.35–13.98), diabetes for > 7 years (OR = 1.79, 95% CI = 1.08–2.98), cholesterol ≥ 200 mg/dL (OR = 1.73, 95% CI = 1.05–2.84) and positive urine glucose (OR = 6.24, 95% CI = 1.32–29.44). (4) Conclusion: Intensive glucose control interventions should target individuals amongst rural residents with diabetes who do not engage in regular physical activity, have been diagnosed with diabetes for more than seven years and who have high fasting-blood glucose, high cholesterol levels and glucose-positive urine.

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