scholarly journals SAT-671 Glycogenic Hepatopathy. A Rare and Dramatic Manifestation of Poorly Controlled Type 1 Diabetes

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Cassie Maciel ◽  
Rebecca Salvo ◽  
Mark D Wilson

Abstract Background: Glycogenic hepatopathy (GH) is a well described, yet underdiagnosed disorder in type 1 diabetes. Erratic blood glucose values and high insulin levels promote the excessive deposition of glucose storage in the liver as glycogen, resulting in hepatomegaly, right upper quadrant pain and abnormal liver function. GH was first described with the introduction of insulin as a therapy to treat type 1 diabetes in the early 20th century. As our ability to effectively treat type 1 diabetes mellitus has improved, GH is seen much less commonly. Today, GH generally effects adolescent or young adult patients with poorly controlled type 1 diabetes mellitus and DKA. It is reversible with successful treatment of hyperglycemia. Clinical Case: An 18 year old woman with a history of poorly controlled type 1 diabetes mellitus and frequent admissions for DKA was admitted for DKA and pyelonephritis. On admission, the patient complained of significant right upper quadrant pain and was found to have elevated transaminase values of: AST 1199 U/L (<37 U/L), ALT 371 U/L (56 U/L), an elevated alkaline-phosphatase of 319 IU/L (<135 IL/L) and normal indices of biosynthetic function (INR/PT). After inpatient treatment of DKA and pyelonephritis, the right upper quadrant pain persisted and required pharmacologic analgesia. Radiographic evaluation demonstrated severe hepatomegaly (24 cm in maximum length) without focal lesions. Laboratory evaluation for viral hepatitis, autoimmune hepatitis, Celiac Disease, Wilson’s Disease and hemochromatosis were unremarkable. Given the patient’s persistent symptoms and severity of hepatomegaly, hepatic biopsy was performed.Biopsy findings were consistent with glycogenic hepatopathy demonstrating steatosis and glycogen deposition with nucleic glycogenation and mega mitochondria.Our patient had higher than usual insulin requirements for type 1 diabetes (~1 unit/kg/day). Abdominal pain, hepatomegaly and elevated LFTs resolved over a 2 month duration with improvement in her blood glucose control. Conclusions: GH is an established yet rare complication of poorly controlled type 1 diabetes. Glycogen deposition in the liver leads to painful hepatomegaly due to stretching of the liver capsule. GH has a female predominance (77%) and is characterized by elevated AST >>ALT with preserved liver biosynthetic function.It is postulated that GH is a result of elevated blood glucose levels and elevated insulin levels. The patient we describe has long standing poorly controlled type 1 diabetes mellitus, frequent admissions for DKA and high insulin requirements. To our knowledge, insulin requirements have not been investigated or previously reported as a potential risk factor for this condition.

2021 ◽  
Vol 11 (4) ◽  
pp. 1742
Author(s):  
Ignacio Rodríguez-Rodríguez ◽  
José-Víctor Rodríguez ◽  
Wai Lok Woo ◽  
Bo Wei ◽  
Domingo-Javier Pardo-Quiles

Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose levels every day, employing capillary glucometers for the monitoring of blood glucose dynamics. In recent years, advances in technology have allowed for the creation of revolutionary biosensors and continuous glucose monitoring (CGM) techniques. This has enabled the monitoring of a subject’s blood glucose level in real time. On the other hand, few attempts have been made to apply machine learning techniques to predicting glycaemia levels, but dealing with a database containing such a high level of variables is problematic. In this sense, to the best of the authors’ knowledge, the issues of proper feature selection (FS)—the stage before applying predictive algorithms—have not been subject to in-depth discussion and comparison in past research when it comes to forecasting glycaemia. Therefore, in order to assess how a proper FS stage could improve the accuracy of the glycaemia forecasted, this work has developed six FS techniques alongside four predictive algorithms, applying them to a full dataset of biomedical features related to glycaemia. These were harvested through a wide-ranging passive monitoring process involving 25 patients with DM1 in practical real-life scenarios. From the obtained results, we affirm that Random Forest (RF) as both predictive algorithm and FS strategy offers the best average performance (Root Median Square Error, RMSE = 18.54 mg/dL) throughout the 12 considered predictive horizons (up to 60 min in steps of 5 min), showing Support Vector Machines (SVM) to have the best accuracy as a forecasting algorithm when considering, in turn, the average of the six FS techniques applied (RMSE = 20.58 mg/dL).


2021 ◽  
Vol 11 (7) ◽  
pp. 1154-1160
Author(s):  
Yan Sun ◽  
Haoshu Niu ◽  
Zhixia Wang ◽  
Ying Wang ◽  
Xuechun Li ◽  
...  

The aim of this study was to investigate the difference between multiple daily injections (MDI) and continuous subcutaneous insulin infusion (CSII) in blood glucose control during the treatment of type 1 diabetes mellitus (T1DM) in children. under the nano-hydrogel delivery carrier. In order to improve the efficiency and therapeutic effect of the experiment, this paper adopts injectable nanomaterial-polymer composite hydrogel as drug delivery system to cooperate with insulin injection to improve the effective utilization of drugs. Eighty children diagnosed with T1DM by the department of Endocrinology, Genetics, and Metabolism of INNER MONGOLIA BAOGANG Hospital from October 2018 to December 2019 were selected as research subjects for this study. The children were randomly divided into MDI group (treated with MDI) and CSII group (treated with CSII), with 40 children in each group. The basic data of the children were compared, and changes in hemoglobin A1c (HbA1c) at admission and 1, 2, and 3 months after treatment were detected. During the detection, the blood glucose level, therapeutic time of blood glucose normalization, and daily insulin dosage were recorded. The HbA1c and fasting blood glucose (FBG) were followed up three months after discharge, and incidences of hypoglycemia in the two groups were observed. The results showed that the mean value of HbA1c in the MDI group was higher than that in the CSII group (P < 0.05). Each patient was assessed for the number of times their blood sugar was allowed to dip below normal levels; patients with less hypoglycemia had a higher rate of blood sugar control. The control rates of blood glucose in the MDI and CSII groups were 19.21% and 23.50%, respectively. The CSII group showed significantly higher blood glucose rates than the MDI group (P < 0.05). The therapeutic time of blood glucose normalization in the MDI group was significantly longer than that in the CSII group (P < 0.05). There was no significant difference in the average daily insulin dosage between the MDI and CSII groups (P > 0.05), which indicated that CSII therapy had significant advantages in reducing blood glucose in children with T1DM.


2019 ◽  
pp. 089719001985092 ◽  
Author(s):  
Kyle A. Farina ◽  
Michael P. Kane

Two Food and Drug Administration-approved programmed cell death-1 (PD-1) inhibitors, nivolumab (Opdivo®), and pembrolizumab (Keytruda®), are indicated for treatment-resistant malignancies. Inhibition of PD-1 also inhibits T-cell peripheral tolerance, enhancing autoimmunity. Various autoimmune conditions have been reported with the use of these agents, including type 1 diabetes mellitus (T1DM). This article reviews literature regarding the development of T1DM in patients treated with PD-1 inhibitors and identifies strategies for the appropriate identification, monitoring, and follow-up of these patients. Published cases of T1DM related to PD-1 inhibitor therapy were identified using PubMed. Eighty-three identified publications were reviewed, of which 37 publications involving 42 cases of anti-PD-1 therapy-induced T1DM were identified. The average age of patients at presentation was 62 years and 59.5% were male. The mean number of PD-1 inhibitor doses received was 5, with a mean time to presentation of 11 weeks. Initial presentation of diabetic ketoacidosis was reported in 69% of cases, with an average blood glucose of 660 mg/dL and an average HbA1cof 8.7%. The exact mechanism PD-1 inhibitor therapy-induced T1DM is unknown. Blood glucose monitoring is recommended for all patients receiving anti-PD-1 therapy. Further research is needed to delineate the frequency of this adverse effect, as well as to evaluate potential risk factors and ideal management strategies.


Diabetologia ◽  
2009 ◽  
Vol 53 (3) ◽  
pp. 446-451 ◽  
Author(s):  
A. García-Patterson ◽  
I. Gich ◽  
S. B. Amini ◽  
P. M. Catalano ◽  
A. de Leiva ◽  
...  

2014 ◽  
Vol 7 (2) ◽  
pp. 52-59 ◽  
Author(s):  
Naomi Achong ◽  
Harold David McIntyre ◽  
Leonie Callaway

Most women with type 1 diabetes mellitus (T1DM) have increased insulin requirements during pregnancy. However, a minority of women have a fall in insulin requirements. When this occurs in late gestation, it often provokes concern regarding possible compromise of the feto-placental unit. In some centres, this is considered as an indication for delivery, including premature delivery. There are, however, many other factors that affect insulin requirements in pregnancy in women with type 1 diabetes mellitus and the decline in insulin requirements may represent a variant of normal pregnancy. If there is no underlying pathological process, expedited delivery in these women is not warranted and confers increased risks to the newborn. We will explore the factors affecting insulin requirements in gestation in this review. We will also discuss some novel concepts regarding beta-cell function in pregnancy.


Metabolism ◽  
2012 ◽  
Vol 61 (3) ◽  
pp. 373-378 ◽  
Author(s):  
Dominique Darmaun ◽  
Susan Welch ◽  
Shiela Smith ◽  
Shawn Sweeten ◽  
Nelly Mauras

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