Computer-assisted glucose regulation during rapid step-wise increases of parenteral nutrition in critically ill patients: a proof of concept study

Artificial intelligence in critically ill diabetic patients: current status and future prospects

Recent years have witnessed increasing numbers of artificial intelligence (AI) based applications and devices being tested and approved for medical care. Diabetes is arguably the most common chronic disorder worldwide and AI is now being used for making an early diagnosis, to predict and diagnose early complications, increase adherence to therapy, and even motivate patients to manage diabetes and maintain glycemic control. However, these AI applications have largely been tested in non-critically ill patients and aid in managing chronic problems. Intensive care units (ICUs) have a dynamic environment generating huge data, which AI can extract and organize simultaneously, thus analysing many variables for diagnostic and/or therapeutic purposes in order to predict outcomes of interest. Even non-diabetic ICU patients are at risk of developing hypo or hyperglycemia, complicating their ICU course and affecting outcomes. In addition, to maintain glycemic control frequent blood sampling and insulin dose adjustments are required, increasing nursing workload and chances of error. AI has the potential to improve glycemic control while reducing the nursing workload and errors. Continuous glucose monitoring (CGM) devices, which are Food and Drug Administration (FDA) approved for use in non-critically ill patients, are now being recommended for use in specific ICU populations with increased accuracy. AI based devices including artificial pancreas and CGM regulated insulin infusion system have shown promise as comprehensive glycemic control solutions in critically ill patients. Even though many of these AI applications have shown potential, these devices need to be tested in larger number of ICU patients, have wider availability, show favorable cost-benefit ratio and be amenable for easy integration into the existing healthcare systems, before they become acceptable to ICU physicians for routine use.

Prednosti in slabosti različnih protokolov vodenja vrednosti glukoze v krvi pri kritično bolnih pacientih

Uvod: Medicinske sestre v enotah intenzivne terapije uravnavajo ciljno vrednost glukoze v krvi pri kritično bolnih po sprejetih in veljavnih protokolih. Namen raziskave je bil raziskati prednosti in slabosti različnih protokolov vodenja  vrednosti glukoze v krvi pri kritično bolnih.Metode: Uporabljen je bil sistematični pregled znanstvene in strokovne literature. Iskanje literature je potekalo od 1. 2. 2017 do 8. 8. 2017. V pregled so bile vključene naslednje baze: COBIB.SI, Digitalna knjižnica Slovenije – Dlib.si, CINAHL, ProQuest, PubMed in Google Učenjak. Iskanje je potekalo z različnimi kombinacijami ključnih besed v slovenskem in angleškem jeziku: prednosti, slabosti, medicinske sestre, kritično bolni, glukoza v krvi in protokoli za vodenje vrednosti glukoze v krvi. Uporabljen je bil Boolov operater AND. Iz iskalnega nabora 1064 zadetkov je bilo v končno analizo  vključenih 15 člankov. Za obdelavo podatkov je bil uporabljen model analize konceptov.Rezultati: Identificirana so bila tri tematska področja: (1) primernost različnih protokolov za vodenje vrednosti glukoze v krvi, (2) delovne obremenitve medicinskih sester pri teh protokolih in (3) varnost protokolov. Prednosti računalniško podprtega protokola za vodenje vrednosti glukoze v krvi so v boljšem doseganju ciljne vrednosti koncentracije glukoze v krvi, slabosti pa v pojavu odstopanj v zvezi z načrtovanim časom za merjenje glukoze v krvi.Diskusija in zaključek: Nekatere raziskave ugotavljajo prednosti računalniško podprtih protokolov za vodenje vrednosti glukoze v krvi v smislu tehnoloških izboljšav, zmanjšanja delovnih obremenitev medicinskih sester in izboljšanja varnosti pacientov. Raziskava prispeva k izboljševanju klinične prakse pri delu s kritično bolnimi pacienti.

The future is now: software-guided intensive insulin therapy in the critically ill

Since the development of intensive insulin therapy for the critically ill adult, tight glycemic control (TGC) has become increasingly complicated to apply and achieve. Software-guided (SG) algorithms for insulin dosing represent a new method to achieve euglycemia in critical illness. We provide an overview of the state of SG TGC with an eye to the future. The current milieu is disorganized, with little research that incorporates newer variables of dysglycemia, such as glycemic variability. To develop and implement better algorithms, scientists, programmers, and clinicians need to standardize measurements and variables.

Monitoring in the intensive care

In critical care, the monitoring is essential to the daily care of ICU patients, as the optimization of patient's hemodynamic, ventilation, temperature, nutrition, and metabolism is the key to improve patients' survival. Indeed, the decisive endpoint is the supply of oxygen to tissues according to their metabolic needs in order to fuel mitochondrial respiration and, therefore, life. In this sense, both oxygenation and perfusion must be monitored in the implementation of any resuscitation strategy. The emerging concept has been the enhancement of macrocirculation through sequential optimization of heart function and then judging the adequacy of perfusion/oxygenation on specific parameters in a strategy which was aptly coined “goal directed therapy.” On the other hand, the maintenance of normal temperature is critical and should be regularly monitored. Regarding respiratory monitoring of ventilated ICU patients, it includes serial assessment of gas exchange, of respiratory system mechanics, and of patients' readiness for liberation from invasive positive pressure ventilation. Also, the monitoring of nutritional and metabolic care should allow controlling nutrients delivery, adequation between energy needs and delivery, and blood glucose. The present paper will describe the physiological basis, interpretation of, and clinical use of the major endpoints of perfusion/oxygenation adequacy and of temperature, respiratory, nutritional, and metabolic monitorings.

Carbohydrate provision in the era of tight glucose control

Glycemic control in the critically ill patient has remained a controversial issue over the last decade. Several large trials, with widely varying results, have generated significant interest in defining the optimal target for blood-glucose control necessary for improving care while minimizing morbidity. Nutritional support has evolved into an additional area of critical care where appropriate practices have been associated with improved patient outcomes. Carbohydrate provision can impact blood-glucose levels, and the relationship between nutrition and glucose levels has become more complex in the era of improved glycemic control. This review discusses the controversy surrounding intensive-insulin therapy in the intensive care unit and explores the relationship with nutritional support, both in the enteral and parenteral form. Achieving realistic goals in both carbohydrate provision and glycemic control may improve patient outcome, and are not mutually exclusive practices.