ObjectiveTo explore the association between glycosylated hemoglobin level and poor prognosis in acute ischemic stroke (AIS) patients treated with intravenous thrombolysis.MethodsThe AIS patients treated with recombinant tissue-type plasminogen activator who were hospitalized in the Department of Neurology of the First Affiliated Hospital of Henan University of Science and Technology from September to December 2020 were retrospectively included. According to different levels of glycosylated hemoglobin, they were divided into pre-diabetic group (5.7%≤glycated hemoglobin≤6.4%), diabetic group (previously diabetic or glycosylated hemoglobin≥6.5%), and non-diabetic group (glycated hemoglobin <5.7%). The relevant information of the patients was collected, and a telephone follow-up was conducted 90 days after discharge. According to the modified Rankin Scale (mRS) score, the patients were divided into the good prognosis group (mRS score≤2) and the poor prognosis group (mRS score>2). Logistic regression analysis was used to determine the risk factors for the poor prognosis of intravenous thrombolysis in patients with AIS.ResultEventually 101 patients were included, including 44 in the non-diabetic group, 24 in the pre-diabetic group, and 33 in the diabetic group. And 64 patients were in the good prognosis group and 37 patients were in the poor prognosis group. Regression analysis results showed that diabetes was associated with poor prognosis 3 months after intravenous thrombolysis in patients with AIS [odds ratio=6.518, 95% confidence interval (1.568, 27.096), P=0.010]; and the higher the National Institutesof Health Stroke Scale score at admission was, the higher the risk of poor prognosis would be [odds ratio=1.421, 95% confidence interval (1.231, 1.640), P<0.001].ConclusionIn AIS patients who received intravenous thrombolysis, diabetes is associated with poor prognosis after 3 months.
ObjectiveTo observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR). MethodsA retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR. ResultsThe TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant (t=3.501,－2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval (CI) 0.597-0.812, P=0.001; 95%CI 0.558-0.778, P=0.006; 95%CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk (P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37－0.04×TIR (%). ConclusionsTIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.
High performance liquid chromatography (HPLC) is currently the mainstream technology for detecting hemoglobin. Glycated hemoglobin (HbA1c) is a gold indicator for diagnosing diabetes, however, the accuracy of HbA1c test is affected by thalassemia factor hemoglobin F (HbF)/hemoglobin A2 (HbA2) and variant hemoglobin during HPLC analysis. In this study, a new anti-interference hemoglobin analysis system of HPLC is proposed. In this system, the high-pressure three-gradient elution method was improved, and the particle size and sieve plate aperture in the high-pressure chromatography column and the structure of the double-plunger reciprocating series high-pressure pump were optimized. The system could diagnose both HbA1c and thalassemia factor HbF/HbA2 and variant hemoglobin, and the performance of the system was anti-interference and stable. It is expected to achieve industrialization. In this study, the HbA1c and thalassemia factor HbF/HbA2 detection performance was compared between this system and the world’s first-line brand products such as Tosoh G8, Bio-Rad Ⅶ and D10 glycosylated hemoglobin analysis system. The results showed that the linear correlation between this system and the world-class system was good. The system is the first domestic hemoglobin analysis system by HPLC for screening of HbA1c and thalassemia factor HbF/HbA2 rapidly and accurately.
ObjectiveTo study the correlation of postoperative cognitive dysfunction (POCD) with type-2 diabetes and glycosylated hemoglobin (HbA1c) levels in elderly patients. MethodsA total of 140 elderly patients who were going to undergo non-cardiothoracic surgery in our hospital between January 2011 and February 2013 were included in this study.ASA classification was between I and Ⅲ.There were 78 males and 62 females,aged between 65 and 86 years old.Group A had 70 patients with diabetes,while group B had another 70 corresponding patients without diabetes.One day before surgery and a week after surgery,Mini-mental State Examination (MMSE) and Montreal Cognitive Functioning Scale (MoCA) were used to test patients'cognitive function,and the incidence of POCD was compared between the two groups.Group A patients,according to HbA1c levels,were divided into group AH (HbA1c>7.5%) and group AL (HbA1c<7.5%).And we compared the relationship between group AL and group B,and the relationship between group AH and group B. ResultsThe incidence of POCD in group A was significantly higher than that in group B (P<0.05).Group AH had a significantly higher incidence of POCD than group AL (P<0.05).No significant difference was found in fasting plasma glucose among the groups. ConclusionElderly diabetic patients with poor glycemic control is a risk factor for POCD occurrence,but fasting glucose as a predictor of POCD is not as good as HbA1C.
Based on literatures on Meta-analysis and randomized controlled trial, drug use and some geriatrics syndromes such as cognitive impairment and depression, in elderly diabetic patients were reviewed. Insulin plus oral hypoglycemic drugs was more rational therapy for insulin resistance and islet dysfunction in type 2 diabetes mellitus. We should pay more attention to cognitive impairment and depression in elderly type 2 diabetic patients.
ObjectiveTo systematically review the diagnosis value of glycosylated hemoglobin (HbA1c) in diagnosis of gestational diabetes mellitus (GDM).MethodsThe diagnostic studies concerning glycosylated hemoglobin in gestational diabetes were electronically searched in EMbase, PubMed, The Cochrane Library, CNKI, WanFang Data and VIP from inception to October, 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies by QUADAS-2 standard. Meta-analysis was performed by RevMan 5.3 and Meta-Disc 1.4 software.ResultsA total of 33 studies involving 16 622 persons were included. The results of meta-analysis showed that the pooled sensitivity, specificity, positive predictive value, negative predictive value, the pooled DOR of HbA1c were 0.75 (95%CI 0.74 to 0.77), 0.91 (95%CI 0.90 to 0.91), 8.21 (95%CI 5.41 to 12.46), 0.18 (95%CI 0.11 to 0.28), 45.10 (95%CI 29.70 to 68.48), respectively. The AUC of SROC was 0.933 5. Subgroup analysis by different HbA1c measurements indicated that little variations between different measurements in sensitivity and specificity.ConclusionHbA1c in GDM diagnosis has high sensitivity and specificity. Due to the limited quality and quantity of included studies, the above results should be validated by more studies.
ObjectiveTo explore the relationship between glycated hemoglobin (HbA1c) level and blood glucose fluctuations after coronary artery bypass grafting (CABG) and adverse events in non-diabetic patients, thus providing theoretical support for intensive preoperative blood glucose management in patients undergoing CABG surgery.MethodsA total of 304 patients undergoing CABG with or without valvular surgery from October 2013 to December 2017 were enrolled in this prospective, single-center, observational cohort study. We classified them into two different groups which were a low-level group and a high-level group according to the HbA1c level. There were 102 males and 37 females, aged 36–85 (61.5±9.5) years in the low-level group, and 118 males and 47 females aged 34–85 (63.1±9.4) years in the high-level group. The main results were different in hospital mortality and perioperative complications including in-hospital death, myocardial infarction, sternal incision infection, new stroke, new-onset renal failure and multiple organ failure. To assess the effects of confounding factors, multivariate logistic regression analysis was used.Results Postoperative blood glucose fluctuation was more pronounced in the high-level group than that in the low-level group before admission [0.8 (0.6, 1.2) mmol/L vs. 1.0 (0.8, 1.8) mmol/L, P<0.01]. This study also suggested that the incidence of major adverse events was significantly lower in the low-level group compared with the high-level group (P=0.001). Multivariate logistic regression analyses to correct the influence of other confounding factors showed that HbA1c (OR=2.773, P=0.002) and postoperative blood glucose fluctuations (OR=3.091, P<0.001) could still predict the occurrence of postoperative adverse events.ConclusionHbA1c on admission can effectively predict blood glucose fluctuations in 24 hours after surgery. Secondly, HbA1c on admission and postoperative blood glucose fluctuations can further predict postoperative adverse events. It is suggested that we control the patient's preoperative HbA1c at a low level, which is beneficial to control postoperative blood glucose fluctuation and postoperative adverse events.