scholarly journals Long-acting insulin management for blood glucose prediction models.

2019 ◽  
Vol 30 (1) ◽  
Author(s):  
Rebaz A. H. Karim ◽  
Istvan Vassanyi ◽  
Istvan Kosa
1985 ◽  
Vol 110 (4_Suppl) ◽  
pp. S57-S60 ◽  
Author(s):  
Kristian F. Hanssen ◽  
Knut Dahl-Jørgensen ◽  
Olaf Brinchmann-Hansen ◽  
_ _

Abstract. We studied 45 IDDM without c-peptide response, duration 7-22 years, without proliferative retinopathy. After 2 months run-in period, they were randomly assigned to: (P) 15 received CSII: (C) 15 received muliple s.c. injections via butterfly 5-6x daily;: (M) 15 received twice daily mixed rapid and long acting insulin. All groups improved blood glucose control in the run-in period (p<0.0001). After change of treatment (P) and (M) improved further (p<0.01) but (C) was unchanged. GFR was supranormal and decreased in (P) and (M). No regression of retinopathy was shown in any group. One in (P) had transient florid pre-proliferative retinopathy which regressed spontaneously without laser treatment. We conclude that retinal response to strict control is complex. A transient deterioration may been seen.


2015 ◽  
Vol 77 (7) ◽  
Author(s):  
Athirah Razak ◽  
Normy N. Razak ◽  
Nurhamim Ahamad ◽  
Fatanah Suhaimi ◽  
Ummu Jamaluddin

Tight glycaemic management has been shown to be beneficial to the outcomes of patients receiving intensive care. However, tight glycaemic control (TGC) protocol within intensive care (ICU) comes with a high clinical demand, namely high nursing effort. Thus, there is a need for a protocol that is safe, effective, robust, yet does not require a high nursing effort. A less intensive protocol is designed to use a combination of subcutaneous long-acting insulin (glargine) with IV insulin bolus and only requires blood glucose (BG) measurements every 4 hours while maintaining measurement within 4.0-6.1 mmol/L. 


2021 ◽  
Vol 26 (6) ◽  
pp. 2301-2310
Author(s):  
Tadeu Uggere de Andrade ◽  
Fabrício Soares Moreira ◽  
Karla Oliveira dos Santos Cassaro ◽  
Manuela Martins Cruz ◽  
Girlandia Alexandre Brasil ◽  
...  

Abstract Diabetes mellitus (DM) is a chronic disease marked by elevated blood glucose levels. Controlling DM involves adequate diet, physical exercises, medicines and monitoring the blood glucose and glycated hemoglobin (HbA1c) levels. This was a retrospective study of the process of dispensing long-acting insulin analogues to users with diabetes (types 1 and 2) who were registered at high-cost public pharmacies in public health system in a southeast state of Brazil, that sought to evaluate the fulfillment of the criteria of all the clinical protocol to provide these analogs. Of the 987 users registered in the health service, 315 met the inclusion criteria for the study. The evaluation of the dispensing processes of the long-acting insulin analogues revealed that the inclusion, exclusion, and suspension criteria of the protocol related with these insulin analogues were in some extend only partially fulfilled. Additionally, there was no difference between the initial and final fasting glycemic and HbA1c levels. It is concluded that the established criteria for dispensing long-acting insulin analogues were partly fulfilled by pharmacies, compromising the rational use of these analogues. It can directly impact the cost of maintaining the public health service and users’ health.


2022 ◽  
Vol 12 ◽  
Author(s):  
Anas El Fathi ◽  
Chiara Fabris ◽  
Marc D. Breton

ObjectiveMultiple daily injections (MDI) therapy is the most common treatment for type 1 diabetes (T1D), consisting of long-acting insulin to cover fasting conditions and rapid-acting insulin to cover meals. Titration of long-acting insulin is needed to achieve satisfactory glycemia but is challenging due to inter-and intra-individual metabolic variability. In this work, a novel titration algorithm for long-acting insulin leveraging continuous glucose monitoring (CGM) and smart insulin pens (SIP) data is proposed.MethodsThe algorithm is based on a glucoregulatory model that describes insulin and meal effects on blood glucose fluctuations. The model is individualized on patient’s data and used to extract the theoretical glucose curve in fasting conditions; the individualization step does not require any carbohydrate records. A cost function is employed to search for the optimal long-acting insulin dose to achieve the desired glycemic target in the fasting state. The algorithm was tested in two virtual studies performed within a validated T1D simulation platform, deploying different levels of metabolic variability (nominal and variance). The performance of the method was compared to that achieved with two published titration algorithms based on self-measured blood glucose (SMBG) records. The sensitivity of the algorithm to carbohydrate records was also analyzed.ResultsThe proposed method outperformed SMBG-based methods in terms of reduction of exposure to hypoglycemia, especially during the night period (0 am–6 am). In the variance scenario, during the night, an improvement in the time in the target glycemic range (70–180 mg/dL) from 69.0% to 86.4% and a decrease in the time in hypoglycemia (&lt;70 mg/dL) from 10.7% to 2.6% was observed. Robustness analysis showed that the method performance is non-sensitive to carbohydrate records.ConclusionThe use of CGM and SIP in people with T1D using MDI therapy has the potential to inform smart insulin titration algorithms that improve glycemic control. Clinical studies in real-world settings are warranted to further test the proposed titration algorithm.SignificanceThis algorithm is a step towards a decision support system that improves glycemic control and potentially the quality of life, in a population of individuals with T1D who cannot benefit from the artificial pancreas system.


1987 ◽  
Vol 25 (7) ◽  
pp. 25-28

Most physicians agree that the aim of diabetic management is to achieve the best possible blood glucose control without troublesome hypoglycaemia. Continuous subcutaneous infusion of insulin (CSII) via a battery-operated portable pump was introduced in 1977 with this aim, originally as a research technique to study the effects of prolonged near-physiological blood glucose levels in diabetic patients.1 It provides a continuous basal supply of unmodified, short-acting insulin throughout 24 hours with supplementary boluses before main meals, activated by the user from the same pump. Its introduction coincided with the move towards intensified conventional therapy (ICT) together with better education: improved blood-sugar control with self-monitoring of capillary blood glucose, more frequent insulin injections when necessary, and measurement of glycosylated haemoglobin (an index of average blood glucose control over the preceding month). The aim of ICT is to maintain a continuous basal supply of insulin using a long-acting insulin with bolus injections of short-acting insulin to cover meals.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A364-A364
Author(s):  
Apurwa Prasad ◽  
Faisal S Ali ◽  
Pratikshya Thapa ◽  
John P W Tuason ◽  
Keun Young Kim

Abstract Introduction: Alpelisib (PIQRAY) is a Phosphatidylinositol 3-Kinase Inhibitor (PIP-3K) recently approved by the united states food and drug administration (FDA) for hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA)-mutated, advanced, or metastatic breast cancer in post-menopausal women or men with an adjuvant to Fulvestrant. Hyperglycemia is a well-known side effect of Alpelisib. However, hyperglycemic ketoacidosis is a rare and life-threatening side effect. Case Presentation: A 63-year-old Caucasian woman with ER/PR+, HER2- metastatic breast cancer presented to the emergency room (ER) with polydipsia, polyuria, dryness of the mouth and skin, along with a 12-pound weight loss over a period of three weeks. Alpelisib was initiated three months prior to her presentation with Hba1c: 6.4% and random BG: 89 mg/dl at the time. Her initial lab work in the ER revealed blood glucose of 474 mg/dl, sodium 129 mmol/L, potassium 5.1 mmol/L, and an anion gap of 15 with a Co2 of 19 mmol/L, HCO3 of 20 mmol/L, and a blood ketones level of 2.6. Her urinalysis revealed glucosuria and ketonuria. She was admitted to the general medical floor and Alpelisib was held. In light of her insulin naivety and no history of diabetes mellitus, it was decided to treat her with subcutaneous insulin with hourly titration based on monitoring of serum glucose and electrolytes with IV hydration. She required a total of 31 units of regular insulin along with 15 units of long-acting insulin. Her ketosis resolved within 12 hours of admission. Endocrinology was consulted and she was discharged on long-acting insulin 15. On follow-up, Alpelisib was resumed, metformin added along with long-acting insulin. Despite anti-diabetic therapy, due to persistent hyperglycemia (fasting blood glucose &gt;300 mg/dl), Alpelisib was discontinued 3 weeks after presentation. Conclusion: Alpelisib-induced hyperglycemic ketoacidosis is an uncommonly reported adverse event with only 3 reported cases to the best of our knowledge. While there are guidelines available to manage Alpelisib induced hyperglycemia, there are no specific recommendations for patients presenting with hyperglycemia and ketoacidosis in terms of admission to intensive care unit (ICU) or general medical floor (GMF), use of the type, route, and dosage of insulin and continuation of insulin for the persistent elevation of FBG despite interruption of Alpelisib. Alternative approaches for the treatment of breast cancer should be considered with continual hyperglycemia despite appropriate management. Multidisciplinary discussion involving the oncologist as well as an endocrinologist can be useful for the management of persistent elevation of FPG even after substantial Alpelisib free days.


2011 ◽  
Vol 6 (4) ◽  
pp. 17
Author(s):  
MIRIAM E. TUCKER
Keyword(s):  

2021 ◽  
pp. 193229682110182
Author(s):  
Aaron P. Tucker ◽  
Arthur G. Erdman ◽  
Pamela J. Schreiner ◽  
Sisi Ma ◽  
Lisa S. Chow

Successful measurements of interstitial glucose are a key component in providing effective care for patients with diabetes. Recently, there has been significant interest in using neural networks to forecast future glucose values from interstitial measurements collected by continuous glucose monitors (CGMs). While prediction accuracy continues to improve, in this work we investigated the effect of physiological sensor location on neural network blood glucose forecasting. We used clinical data from patients with Type 2 Diabetes who wore blinded FreeStyle Libre Pro CGMs (Abbott) on both their right and left arms continuously for 12 weeks. We trained patient-specific prediction algorithms to test the effect of sensor location on neural network forecasting ( N = 13, Female = 6, Male = 7). In 10 of our 13 patients, we found at least one significant ( P < .05) increase in forecasting error in algorithms which were tested with data taken from a different location than data which was used for training. These reported results were independent from other noticeable physiological differences between subjects (eg, height, age, weight, blood pressure) and independent from overall variance in the data. From these results we observe that CGM location can play a consequential role in neural network glucose prediction.


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