1.Perioperative blood glucose control.
Chinese Journal of Gastrointestinal Surgery 2012;15(6):544-545
Hyperglycemia can result in severe adverse effects on the body. The mortality and morbidity of surgery are increased significantly in diabetic patients. The surgical stress-related hyperglycemia and insulin resistance can also produce the same adverse consequences. The metabolic state of the surgical patients, anesthesia method, glucose infusion, stress-induced neuroendocrine responses and insulin resistance can affect the perioperative blood glucose levels, resulting in poor clinical outcomes. The relationship between tight glycemic control and reducing post-operative mortality and morbidity is not clear. It's necessary to control blood sugar level during the perioperative period but the ideal state of glycemic control still needs a mult-center clinical trial evidence. It is generally believed that perioperative blood glucose level should be controlled below 10 mmol/L. The efficacy and safety of tight glycemic control needs further study.
Blood Glucose
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metabolism
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Humans
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Hyperglycemia
;
etiology
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therapy
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Hypoglycemia
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prevention & control
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Perioperative Care
2.Expert consensus on standard clinical management of neonatal hypoglycemia in China (2021).
Chinese Journal of Contemporary Pediatrics 2022;24(1):1-13
There are many high-risk factors for neonatal hypoglycemia, and persistent severe hypoglycemia can lead to irreversible neurological damage and bring a great burden to family and society. Early standardized prevention and clinical management can effectively reduce the incidence rate of neonatal hypoglycemia and brain injury induced by hypoglycemia; however at present, there is still a lack of unified clinical management guidelines for neonatal hypoglycemia in China, and different medical institutions follow different clinical guidelines developed by other countries for the management of neonatal hypoglycemia. In order to further standardize the clinical management of neonatal hypoglycemia, this consensus is developed by the Group of Neonatology, Pediatric Society, Chinese Medical Association. This consensus provides 21 recommendations to address related clinical issues in the prevention, monitoring, and management of hypoglycemia in neonates with a gestational age of ≥35 weeks.
Child
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Consensus
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Humans
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Hypoglycemia/prevention & control*
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Infant
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Infant, Newborn
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Infant, Newborn, Diseases
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Neonatology
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Risk Factors
3.Dietary Potassium Intake in Korean Population.
Electrolytes & Blood Pressure 2005;3(2):55-57
Potassium plays various important roles in water balance, neuronal maintenance, blood vessel extension, arrhythmia prevention, and blood pressure maintenance. Its deficiency leads to arrhythmia, loss of appetite, convulsions, constipation, fatigue, asthenia, and hypoglycemia etc. Although foods are primary prevention for diseases, there are few literatures on dietary potassium in both Korea and U.S. Also, its acceptable level is not determined yet and is only recommended 2,000-3,000 mg and 1,500-5,000 mg for adult in Korea and US, respectively. The main source of potassium is vegetables such as calabash, fruit, sea tangle, yeast, bean, and banana etc. Therefore, this is to provide information on dietary potassium in order to prevent the risk of cardiovascular disease and guide for patients who suffer from kidney disease etc.
Adult
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Appetite
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Arrhythmias, Cardiac
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Asthenia
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Blood Pressure
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Blood Vessels
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Cardiovascular Diseases
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Constipation
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Fatigue
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Fruit
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Humans
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Hypoglycemia
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Kidney Diseases
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Korea
;
Musa
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Neurons
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Potassium
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Potassium, Dietary*
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Primary Prevention
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Seizures
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Vegetables
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Yeasts
4.Influence of Pre-operative Fasting Time on Blood Glucose in Older Patients.
Journal of Korean Academy of Nursing 2011;41(2):157-164
PURPOSE: This study was performed to identify changes in blood glucose at preoperative fasting time in surgical patients over 60 yr. METHODS: Data collection was performed from July, 2008 through July, 2009. Participants consisted of 80 nondiabetic surgical patients. Blood glucose was checked from 3 to 5 times. The 5 times were 2-hr fasting on the pre-operative day (T1, n=80), 8 hr (T2, n=80), 10 hr (T3, n=17), 12 hr (T4, n=34) and 14 hr fasting on the day of the operation (T5, n=29). RESULTS: Of the patients, 27.5% had a blood glucose level of less than 79 mg/dL at T2; 17.6% at T3; 32.4% at T4; and 17.2% at T5. Mean blood glucose levels were 93.8 mg/dL at T1; 88.4 mg/dL at T2; 91.7 mg/dL at T3; 87.4 mg/dL at T4: and 94.1 mg/dL at T5. Blood glucose was the lowest at T2 (p<.001). CONCLUSION: As 17.6-32.4% of the patients showed the blood glucose level of less than 79 mg/dL at 8-14 hr pre-operative fasting, the authors recommend that surgical patients >60 yr-of-age be observed for hypoglycemia during pre-operative fasting of more than 10 hr and that surgical patients >60 yr-of-age with risks for hypoglycemia be scheduled for operation within 10 hr preoperative fasting.
Aged
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Aged, 80 and over
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Blood Glucose/*analysis
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Body Mass Index
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*Fasting
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Female
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Hemoglobins/analysis
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Humans
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Hypoglycemia/blood/prevention & control
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Male
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Middle Aged
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Preoperative Care
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Risk
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Serum Albumin/analysis
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Sex Factors
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Time Factors
5.Factors associated with glycemic variability in children with type 1 diabetes mellitus based on flash glucose monitoring system.
Liyin ZHANG ; Keyu GUO ; Yaling XU ; Jinlei BAI ; Yujin MA ; Liujun FU ; Jie LIU ; Keyan HU ; Xia LI ; Hongwei JIANG ; Lin YANG
Journal of Central South University(Medical Sciences) 2022;47(4):462-468
OBJECTIVES:
Patients with classical type 1 diabetes mellitus (T1DM) require lifelong dependence on exogenous insulin therapy due to pancreatic beta-cell destruction and absolute insulin deficiency. T1DM accounts for about 90% of children with diabetes in China, with a rapid increase in incidence and a younger-age trend. Epidemiological studies have shown that the overall glycated haemoglobin (HbA1c) and compliance rate are low in Chinese children with T1DM. Optimal glucose control is the key for diabetes treatment, and maintaining blood glucose within the target range can prevent or delay chronic vascular complications in patients with T1DM. Therefore, this study aims to investigate the glycemic control of children with T1DM from Hunan and Henan Province with flash glucose monitoring system (FGMS), and to explore factors associated with glycemic variability.
METHODS:
A total of 215 children with T1DM under 14 years old were enrolled continuously in 16 hospitals from August 2017 to August 2020. All subjects wore a FGMS device to collect glucose data. Correlation of HbA1c, duration of diabetes, or glucose scan rates with glycemic variability was analyzed. Glucose variability was compared according to the duration of diabetes, HbA1c, glucose scan rates and insulin schema.
RESULTS:
HbA1c and duration of diabetes were positively correlated with mean blood glucose, standard deviation of glucose, mean amplitude of glucose excursions (MAGE), and coefficient of variation (CV) of glucose (all P<0.01). The glucose scan rates during FGMS wearing was significantly positively correlated with time in range (TIR) (P=0.001) and negatively correlated with MAGE and mean duration of hypoglycemia (all P<0.01). Children with duration ≤1 year had lower time below range (TBR) and MAGE when compared with those with duration >1 year (all P<0.05). TIR and TBR in patients with HbA1c ≤7.5% were higher (TIR: 65% vs 45%, TBR: 5% vs 4%, P<0.05), MAGE was lower (7.0 mmol/L vs 9.4 mmol/L, P<0.001) than those in HbA1c >7.5% group. Compared to the multiple daily insulin injections group, TIR was higher (60% vs 52%, P=0.006), MAGE was lower (P=0.006) in the continuous subcutaneous insulin infusion group. HbA1c was lower in the high scan rates (≥14 times/d) group (7.4% vs 8.0%, P=0.046), TIR was significantly higher (58% vs 47%, P<0.001), and MAGE was lower (P<0.001) than those in the low scan rate (<14 times/d) group.
CONCLUSIONS
The overall glycemic control of T1DM patients under 14 years old in Hunan and Henan Province is under a high risk of hypoglycemia and great glycemic variability. Shorter duration of diabetes, targeted HbA1c, higher glucose scan rates, and CSII are associated with less glycemic variability.
Adolescent
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Blood Glucose
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Blood Glucose Self-Monitoring
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Child
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Diabetes Mellitus, Type 1/drug therapy*
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Glucose
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Glycated Hemoglobin A/analysis*
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Humans
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Hypoglycemia/prevention & control*
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Hypoglycemic Agents/therapeutic use*
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Insulin/therapeutic use*
6.Avoiding or coping with severe hypoglycemia in patients with type 2 diabetes.
The Korean Journal of Internal Medicine 2015;30(1):6-16
Hypoglycemia is a major barrier to achieving the glycemic goal in patients with type 2 diabetes. In particular, severe hypoglycemia, which is defined as an event that requires the assistance of another person to actively administer carbohydrates, glucagon, or take other corrective actions, is a serious clinical concern in patients with diabetes. If severe hypoglycemia is not managed promptly, it can be life threatening. Hypoglycemia-associated autonomic failure (HAAF) is the main pathogenic mechanism behind severe hypoglycemia. Defective glucose counter-regulation (altered insulin secretion, glucagon secretion, and an attenuated increase in epinephrine during hypoglycemia) and a lack of awareness regarding hypoglycemia (attenuated sympathoadrenal activity) are common components of HAAF in patients with diabetes. There is considerable evidence that hypoglycemia is an independent risk factor for cardiovascular disease. In addition, hypoglycemia has a significant influence on the quality of life of patients with diabetes. To prevent hypoglycemic events, the setting of glycemic goals should be individualized, particularly in elderly individuals or patients with complicated or advanced type 2 diabetes. Patients at high-risk for the future development of severe hypoglycemia should be selected carefully, and intensive education with reinforcement should be implemented.
Autonomic Nervous System/physiopathology
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Biological Markers/blood
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Blood Glucose/*drug effects/metabolism
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Diabetes Mellitus, Type 2/blood/complications/diagnosis/*drug therapy/physiopathology
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Health Knowledge, Attitudes, Practice
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Humans
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Hypoglycemia/blood/chemically induced/epidemiology/physiopathology/*prevention & control
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Hypoglycemic Agents/*adverse effects
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Incidence
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Patient Education as Topic
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Prevalence
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Prognosis
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Risk Assessment
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Risk Factors
7.Risk Factors for Recurrent Hypoglycemia in Hospitalized Diabetic Patients Admitted for Severe Hypoglycemia.
Yen Yue LIN ; Chin Wang HSU ; Wayne Huey Herng SHEU ; Shi Jye CHU ; Chin Pyng WU ; Shih Hung TSAI
Yonsei Medical Journal 2010;51(3):367-374
PURPOSE: Severe hypoglycemia can result in neural damage, impaired cognitive function, coma, seizures, or death. The decision to admit diabetic patients after initial treatment in the emergency department remains unclear. Our purpose is to identify risk factors for developing recurrent hypoglycemia in diabetic patients admitted for severe hypoglycemia. MATERIALS AND METHODS: We reviewed the records of 233 subjects (92 males, 141 females; mean age, 74.1 +/- 9.8 years) with type 2 diabetes treated at a tertiary care teaching hospital and hospitalized for severe hypoglycemia. RESULTS: Seventy-four (31.8%) patients were categorized with recurrent hypoglycemia and 159 (68.2%) with non-recurrent. Multivariate logistic regression analysis revealed that patients with loss of a recent meal, coronary artery disease, infection, and poor renal function (lower estimated glomerular filtration rate) were at risk for recurrent hypoglycemia. The use of calcium-channel blockers appeared to be a protective factor for the development of recurrent hypoglycemia. CONCLUSION: There may be a subset of patients with severe hypoglycemia and certain risk factors for recurrent hypoglycemia that should be admitted.
Aged
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Aged, 80 and over
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Calcium Channel Blockers/adverse effects/therapeutic use
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Coronary Artery Disease/complications
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Diabetes Mellitus, Type 2/complications
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Female
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Glomerular Filtration Rate
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Hospitalization
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Humans
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Hypoglycemia/*etiology/*prevention & control
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Kidney Diseases/complications
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Logistic Models
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Male
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Multivariate Analysis
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Recurrence
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Retrospective Studies
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Risk Factors