Hypoglycaemia and predisposing factors among clinical subgroups treated with intensive insulin therapy

Hypoglycaemia and Cardiovascular Disease Risk in Patients with Diabetes

Hypoglycaemia represents an important side effect of insulin therapy and insulin secretagogues. It can occur in both type 1 and type 2 diabetes mellitus patients. Also, some associations between hypoglycaemia and cardiovascular (CV) risk have been reported. Several mechanisms may be involved, including the sympathoadrenal system, hypokalaemia, endothelial dysfunction, coagulation, platelets, inflammation, atherothrombosis and impaired autonomic cardiac reflexes. This narrative review discusses the associations of hypoglycaemia with CV diseases, including coronary heart disease (CHD), cardiac arrhythmias, stroke, carotid disease and peripheral artery disease (PAD), as well as with dementia. Severe hypoglycaemia has been related to CHD, CV and all-cause mortality. Furthermore, there is evidence supporting an association between hypoglycaemia and cardiac arrhythmias, potentially predisposing to sudden death. The data linking hypoglycaemia with stroke, carotid disease and PAD is limited. Several factors may affect the hypoglycaemia-CV relationships, such as the definition of hypoglycaemia, patient characteristics, co-morbidities (including chronic kidney disease) and antidiabetic drug therapy. However, the association between hypoglycaemia and dementia is bilateral. Both the disorders are more common in the elderly; thus, glycaemic goals should be carefully selected in older patients. Further research is needed to elucidate the impact of hypoglycaemia on CV disease.

Factors associated with hypoglycemia in cardiovascular surgery

INTRODUCTION

An inadequate glycemic control in cardiovascular postoperative is a predictor of mortality, postoperative infections and a prolonged hospital stay. This study evaluates the incidence of hypoglycemia in the first 72 h of postoperative and its association with different factors, such as tissue perfusion parameters, and the administration of medicines that induct hypoglycemia during surgery, in patients that undergo cardiovascular surgery in a 4th level hospital in Bogota, Colombia.

METHODS AND MATERIALS

A nested cases and controls study was developed, taking as cases the patients that presented hypoglycemia episodes (<70 mg/dl) and the controls were the patients without this outcome. A systematic record of the glycemic control in the first 72 h of postoperative was registered. An univariate and multivariate analysis was conducted to determine the factor associated with hypoglycemia.

RESULTS

327 patients were evaluated (35% with coronary bypass and 27% with valvular replacement). 7.65% of the patients presented at least one episode of hypoglycemia <70 mg/dL (25 episodes). The multivariate analysis showed an association with chronic kidney failure in dialysis (OR6,21; IC:0,97-43.27,p:0.05), administration of preoperative steroids (OR4,41; IC:1,27-15,20,p:0.02), intraoperative insulin (OR2,61; IC:1.09-6,22, p:0.03), and postoperative hydrocortisone (OR 7,15; IC 1,46-34,9 p:0.01).

CONCLUSIONS

Hypoglycemia is frequent in patients that undergo a cardiovascular surgery. The associated factors were chronic kidney failure in dialysis, administration of preoperative steroids, intraoperative insulin and hydrocortisone during postoperative. Other factors such as tissue perfusion, administration of vasoactive or beta blockers substances, showed no association with hypoglycemia.

Non-Intensive Care Unit Management of Acute Liver Failure

Acute liver failure (ALF) is an uncommon syndrome with a highly variable and unpredictable clinical course. The initial diagnostic evaluation is typically performed in a non-intensive care unit (ICU) setting, like the emergency department or general hospital ward. Prompt restoration of intravascular volume with intravenous fluids and correction of electrolyte, metabolic, and acid-base disturbances are important initial interventions in the management of ALF and can be safely accomplished in non-ICU settings in many patients. Similarly, therapies such as administration of N-acetylcysteine for acetaminophen-induced ALF and other cause-specific interventions can also be administered in non-ICU settings, thus minimizing delay.

EASL Clinical Practical Guidelines on the management of acute (fulminant) liver failure

The term acute liver failure (ALF) is frequently applied as a generic expression to describe patients presenting with or developing an acute episode of liver dysfunction. In the context of hepatological practice, however, ALF refers to a highly specific and rare syndrome, characterised by an acute abnormality of liver blood tests in an individual without underlying chronic liver disease. The disease process is associated with development of a coagulopathy of liver aetiology, and clinically apparent altered level of consciousness due to hepatic encephalopathy. Several important measures are immediately necessary when the patient presents for medical attention. These, as well as additional clinical procedures will be the subject of these clinical practice guidelines.

Glucose Control in the ICU: A Continuing Story

In the present era of near-continuous glucose monitoring (CGM) and automated therapeutic closed-loop systems, measures of accuracy and of quality of glucose control need to be standardized for licensing authorities and to enable comparisons across studies and devices. Adequately powered, good quality, randomized, controlled studies are needed to assess the impact of different CGM devices on the quality of glucose control, workload, and costs. The additional effects of continuing glucose control on the general floor after the ICU stay also need to be investigated. Current algorithms need to be adapted and validated for CGM, including effects on glucose variability and workload. Improved collaboration within the industry needs to be encouraged because no single company produces all the necessary components for an automated closed-loop system. Combining glucose measurement with measurement of other variables in 1 sensor may help make this approach more financially viable.