scholarly journals EP.FRI.98 Perioperative blood glucose monitoring and handover in Post-Laparotomy Diabetic patients admitted to Intensive Care

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
David Chang ◽  
Joni Tan ◽  
Keri Liu ◽  
Mallick Mohsan

Abstract Aim To identify the percentage of diabetic laparotomy patients admitted to ITU who had a pre-operative blood glucose check, and the frequency of post-operative blood glucose checks in the immediate 24 hours post-operatively, with any association with 30 day mortality Method We identified diabetic post-laparotomy patients admitted to a large tertiary hospital ICU, identifying handover between medical and critical care teams and perioperative blood glucose monitoring up to the first 24 hours of ICU admission post-operatively using both physical and electronic notes. Results We identified 79 diabetic laparotomy patients admitted to ICU of which 49.3% (39/79) did not have diabetes recorded as a comorbidity in nursing handover charts. We found that 27.8% of these patients did not have an intra-day pre-operative blood glucose recorded and that frequency of post-operative glucose monitoring in the first 24 hours ranged from 0.5 to 10 hourly. ITU monitoring charts could only be found for 69 of the 79 patients, out of which 40.7% of patients had at least one hyperglycaemic episode while 11.6% of patients had a hypoglycaemic episode. We found no correlation between incidences of hyperglycaemia and hypoglycemia or handover with 30 day mortality (13.9%).  Conclusion 72.2 percent of post laparotomy diabetic patients admitted to ICU have a preoperative blood glucose recorded, with considerable variance in blood glucose monitoring frequency 24 hours post-laparotomy from half hourly to 10 hours between blood glucose monitoring but we found no association between hyperglycaemic and hypoglycaemic events in the first 24 hours post-laparotomy with 30 day mortality.

Author(s):  
Herbert Fink ◽  
Tim Maihöfer ◽  
Jeffrey Bender ◽  
Jochen Schulat

Abstract Blood glucose monitoring (BGM) is the most important part of diabetes management. In classical BGM, glucose measurement by test strips involves invasive finger pricking. We present results of a clinical study that focused on a non-invasive approach based on volatile organic compounds (VOCs) in exhaled breath. Main objective was the discovery of markers for prediction of blood glucose levels (BGL) in diabetic patients. Exhaled breath was measured repeatedly in 60 diabetic patients (30 type 1, 30 type 2) in fasting state and after a standardized meal. Proton Transfer Reaction Time of Flight Mass Spectrometry (PTR-ToF-MS) was used to sample breath every 15 minutes for a total of six hours. BGLs were tested in parallel via BGM test strips. VOC signals were plotted against glucose trends for each subject to identify correlations. Exhaled indole (a bacterial metabolite of tryptophan) showed significant mean correlation to BGL (with negative trend) and significant individual correlation in 36 patients. The type of diabetes did not affect this result. Additional experiments of one healthy male subject by ingestion of lactulose and 13C-labeled glucose (n=3) revealed that exhaled indole does not directly originate from food digestion by intestinal microbiota. As indole has been linked to human glucose metabolism, it might be a tentative marker in breath for non-invasive BGM. Clinical studies with greater diversity are required for confirmation of such results and further investigation of metabolic pathways.


2020 ◽  
Author(s):  
Tayebe Yazdanyar ◽  
Mehrnoush Sohrab ◽  
Atena Ramezani ◽  
Zahra Kashi ◽  
Parastoo Karimi Ali Abadi ◽  
...  

Abstract Background: Fasting has certain effects on metabolic and anthropometric parameters in diabetic patients. It is, therefore, necessary for patients to receive proper education related to their physical activities, eating habits, blood glucose monitoring, and medications. The aim of this study was to investigate the effects of Ramadan fasting on metabolic and anthropometric indices in type ΙΙ diabetic patients.Methods: This prospective observational study was performed during Ramadan 2018. The study population consisted of diabetic patients who desired to fast and received information on physical activity, eating habits, blood glucose monitoring, and taking their medications before Ramadan. Fasting blood sugar (FBS), blood sugar 2-hour postprandial (BS2hpp), glycosylated hemoglobin (HbA1C), and the lipids profile were assessed before and after Ramadan month. FBS and BS2hpp were also evaluated on the fifteenth day of Ramadan. The significance level for data analysis was considered p<0.05.Results: Out of 40 diabetic cases who completed the study, 6 (15%) were male and 34 (75%) were female. The mean age of participants was 55.2 ± 9.3 years. The anthropometric variables, including weight, BMI, waist, and blood pressure, decreased significantly after Ramadan fasting (p<0.05). FBS decreased significantly (125.1 ± 27.4 vs 105.2 ± 21.4, p<0.0001) and serum triglyceride increased significantly (127.5 ± 45.5 vs 166.5±53.5 mg/dl, p<0.001) after fasting compared to pre-Ramadan measurement. Other variables remained unchanged.Conclusion: The results of this study indicate that type II diabetic patients who have controlled blood sugar and received information based on clinical guidelines about their lifestyle and medications can fast safely during the holy month of Ramadan.


2017 ◽  
Vol 33 (S1) ◽  
pp. 235-236
Author(s):  
Alessandro Curto ◽  
Marika Torbol ◽  
Anna Cavazzana ◽  
Margherita Andretta ◽  
Giovanna Scroccaro

INTRODUCTION:A novel, sensor-based, factory-calibrated Flash Monitoring System (FMS) has recently proved to be an effective alternative to conventional self-monitoring of blood glucose (SMBG) in patients affected by type 1 and type 2 diabetes. The 14-days adhesive sensor, that continuously measures glucose levels in the interstitial fluid, can transfer glucose levels data to a handheld reader or a smartphone equipped with a specific medical app. The uptake of the new technology has been limited so far, because of its high costs. A cost analysis has been conducted to identify the optimal target population of introducing FSM in Veneto.METHODS:The model was designed with a 1-year time horizon for patients with diabetes using intensive insulin in Veneto region. The costs of the new technology was estimated using inputs from the two main randomized controlled trials (the IMPACT study and the REPLACE study) published in the international literature, Regional evidence-based guidelines and administrative database. Resource utilization included strips, lancets, needles, sensors, distribution and patients training. Regional unit costs were adopted.RESULTS:FSM has not shown so far relevant and statically significant benefits in terms of severe adverse events’ reduction. Estimated yearly costs for a FSM user included glucose monitoring, technology training and distribution costs, for a total of EUR1277 per patient. The new technology has been shown to be affordable in diabetic patients with i) 4years<age<18years, ii) continuous subcutaneous insulin infusion and iii) ≥5 blood glucose monitoring per day.CONCLUSIONS:The Veneto Region should carefully consider prescribing extension to other diabetic patients categories, since the high cost of the new technology. A strict prescribing monitoring is strongly recommended with the aim of ensuring appropriateness and avoiding overspending.


Author(s):  
Kanimozhi R ◽  
Saravanakumar S

Diabetes Mellitus is a serious and chronic health disease. It occurs in all age group of people, especially in adults and aged persons. It is important to measure blood glucose level frequently for the diabetes affected persons which in need to determine the appropriate insulin dosage. Along with this, the continuous glucose monitoring is vital to know whether the glucose level is in normal range. The conventional method used to measure the glucose level in blood is invasive which is infectious and a painful process. Nowadays, the non-invasive blood glucose monitoring methods are widely used. In this work, the blood glucose level is measured non-invasively using IR sensor. Besides that, the indication of insulin dosage to be taken is done by determining blood glucose concentration (non- invasively) and comparing it with Body Mass Index (BMI) of the patient. The implementation is based on the variations in the intensity of the IR LED, BMI and blood density. Themethod ismore reliable than the invasive techniques.


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