A clinical approach for the diagnosis of diabetes mellitus: an analysis using glycosylated hemoglobin levels. Meta-analysis Research Group on the Diagnosis of Diabetes Using Glycated Hemoglobin Levels

JAMA ◽  
1996 ◽  
Vol 276 (15) ◽  
pp. 1246-1252 ◽  
Author(s):  
A. L. Peters
2021 ◽  
Vol 15 (12) ◽  
pp. 3513-3515
Author(s):  
Bader Alsuwayt

Aim: To describe the rate of the controlled level of glycosylated hemoglobin (HbA1c) among diabetes mellitus patients in Dammam city, Kingdom of Saudi Arabia (KSA). To assess the association between the status of HbA1c and the different patient-related factors namely: insulin use, metformin, dyslipidemia, and statin use. Methods: This cross-sectional study was performed at Security Forces Hospital, Dammam, KSA, between November 2020 and February 2021. A sample of two hundred known diabetic patients who were regularly followed up at the outpatient department (OPD) was selected randomly for the current study. Results: A very low rate (24%) of controlled HbA1C levels in patients with diabetes (type 1 DM and type 2 DM), The data showed that 85 % of all participants in our study are T2DM patients, while only 15% are T1DM patients, Our data showed that patients with dyslipidemia, hypothyroidism, or hypertension have a high level of uncontrolled HbA1C levels. Surprisingly, both dyslipidemia and statin use were predictors of uncontrolled HbA1C, Unexpectedly, non-metformin use has a protective effect toward controlling HbA1C, While insulin use is a strong predictor of uncontrolled HbA1C (OD 5.20). Conclusion: A low rate of controlled glycated hemoglobin (HbA1c) level among patients with diabetes (T1DM and T2DM) in our sample urges the need for immediate intervention to investigate and improve the current findings. Further investigations are needed to fully explain the high rate of uncontrolled HbA1c among insulin, metformin and statins users. Keywords: Glycated hemoglobin, HbA1c, Diabetes mellitus, Statins, Metformin.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Junmao Wen ◽  
Tong Lin ◽  
Yinhe Cai ◽  
Qianying Chen ◽  
Yuexuan Chen ◽  
...  

Objective. To investigate the effects of Baduanjin exercise for type 2 diabetes mellitus. Methods. Literature retrieval was performed in several databases, including PubMed, EMBASE, Cochrane Library, CNKI, Wanfang Data Information Site, CBM, and VIP from inception to April 2017. Randomized controlled trials on evaluating the effects of Baduanjin exercise were identified. The primary outcomes were glycosylated hemoglobin, fasting blood-glucose, and postprandial plasma glucose. Review Manager 5.2 (RevMan 5.2) and Stata V.13.0 software were conducted for data analysis. Results. The results of the meta-analysis indicated that the effects of type 2 diabetes mellitus were favoring Baduanjin plus conventional therapy, when compared with the routine treatment. Baduanjin plus conventional therapy lowered the level of glycosylated hemoglobin, fasting blood-glucose, postprandial plasma glucose, TC, TG, and LDL-C and improved HDL-C. Adverse events were not mentioned in all included studies. No publication bias was detected by Begg’s and Egger’s test and no single study affected the overall result by influence analysis. Conclusions. Evidence from meta-analysis suggested that Baduanjin exercise plus conventional therapy has a positive effect on type 2 diabetes mellitus. However, more rigorously designed and large sample RCTs are required to confirm the efficacy and safety in further studies.


Author(s):  
Paola Andrea Rivera ◽  
Milton J. M. Rodríguez-Zúñiga ◽  
José Caballero-Alvarado ◽  
Fabián Fiestas

Abstract Objective The objective of this study was to investigate whether glycated hemoglobin (HbA1c) is a valid surrogate for evaluating the effectiveness of antihyperglycemic drugs in diabetes mellitus (DM) trials. Methods We conducted a systematic review of placebo-controlled randomized clinical trials (RCTs) evaluating the effect of a treatment on HbA1c (mean difference between groups) and clinical outcomes (relative risk of mortality, myocardial infarction, stroke, heart failure, and/or kidney injury) in patients with DM. Then, we investigated the association between treatment effects on HbA1c and clinical outcomes using regression analysis at the trial level. Lastly, we interpreted the correlation coefficients (R) using the cut-off points suggested by the Institute for Quality and Efficiency in Healthcare (IQWiG). HbA1c was considered a valid surrogate if it demonstrated a strong association: lower limit of the 95 percent confidence interval (95 percent CI) of R greater than or equal to .85. Results Nineteen RCTs were identified. All studies included adults with type 2 DM. None of the associations evaluated was strong enough to validate HbA1c as a surrogate for any clinical outcome: mortality (R = .34; 95 percent CI −.14 to .69), myocardial infarction (R = .20; −.30 to .61), heart failure (R = .08; −.40 to .53), kidney injury (R = −.04; −.52 to .47), and stroke (R = .81; .54 to .93). Conclusions The evidence from multiple placebo-controlled RCTs does not support the use of HbA1c as a surrogate to measure the effectiveness of antihyperglycemic drugs in DM studies.


2021 ◽  
Vol 11 (6) ◽  
pp. 13-14
Author(s):  
Jayanthi Bai ◽  
Jayakrishnan .

Early diagnosis of diabetes is clinically important in reducing health complications worldwide. In this respect HbA1c has become an accurate biomarker for the diagnosis of Diabetes Mellitus (DM) and its complication [1]. In the present study HbA1c measured in subject of age <20,21-30,31-40 yrs and the level found to show high risk for DM in youngsters. Hence counselling at least once a month is warranted. To be most effective to reduce or prevent the prevalence in youngsters the importance of controlling HbA1c and keeping it at low level can be achieved by including in the curriculum right from school ageing. It will reduce the financial burden on state and central government authorities. Key words: HbA1c, Diabetes Mellitus 2.


2004 ◽  
Vol 141 (6) ◽  
pp. 421 ◽  
Author(s):  
Elizabeth Selvin ◽  
Spyridon Marinopoulos ◽  
Gail Berkenblit ◽  
Tejal Rami ◽  
Frederick L. Brancati ◽  
...  

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