scholarly journals A Case of Multiple Endocrine Neoplasia Type 1 in Type 2 Diabetes Mellitus with Poor Glycemic Control

2017 ◽  
Vol 18 (2) ◽  
pp. 125
Author(s):  
Yong Hoon Lee ◽  
Yu Chang Lee ◽  
Jung Eun Lee ◽  
Sol Jae Lee ◽  
Su Jin Jeong ◽  
...  
Author(s):  
Eleonora Palella ◽  
Rossella Cimino ◽  
Salvatore A. Pullano ◽  
Antonino S. Fiorillo ◽  
Elio Gulletta ◽  
...  

Background: Type 2 diabetes mellitus (T2DM) is characterized by a prothrombotic state, predisposing to vascular complications. Some related markers, linking thrombophilia to hemostasis and inflammation, however, have been poorly explored in relation to patients’ glycemia. We therefore investigated the association of laboratory hemostatic parameters, circulating adhesion molecules (ADMs), white blood cell (WBC) count, and neutrophil/lymphocyte ratio (NLR) with T2DM and glycemic control. Research design: In this study, 82 subjects, grouped into T2DM patients (n = 41) and healthy individuals (n = 41) were enrolled. To evaluate glycemic control, the T2DM cohort was expanded to 133 patients and sub-classified according to glycated hemoglobin (HbA1c) <7% and ≥ 7% (n = 58 and n = 75, respectively). We assessed glycemia, HbA1c, prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen, plasminogen activator inhibitor-1 (PAI-1), platelet and leukocyte parameters, vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), and selectins (E-, P-, L-). Results: PT % activity, PAI-1, VCAM-1, WBC, and neutrophil counts were significantly higher in T2DM patients than in healthy subjects. Poor glycemic control (HbA1c ≥ 7%) was correlated with increased PT activity (p = 0.015), and higher levels of E-selectin (p = 0.009), P-selectin (p = 0.012), and NLR (p = 0.019). Conclusions: Both T2DM and poor glycemic control affect some parameters of hemostasis, inflammation, and adhesion molecules. Further studies are needed to establish their clinical utility as adjuvant markers for cardio-vascular risk in T2DM patients.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Sarita Goud ◽  
Yu Yu Thar

Abstract INTRODUCTION Pembrolizumab(Keytruda) is a humanized IgG4 anti-programmed cell death-1 (PD-1) antibody serving as an immune-checkpoint inhibitor, now approved by FDA to treat several types of cancer. Although there are few reported cases of pembrolizumab induced new onset DKA in a non diabetic patients due to its autoimmune nature, its association in worsening glycemic control and DKA in pre-existing type 2 Diabetes mellitus is not well established. CASE 79 years old female with past medical hx of DM type 2 (Hba1c 7.4 was started on metformin), COPD(on chronic steroids and trilogy machine at home), recently diagnosed with poorly differentiated adenocarcinoma of the left lung, metastasis to liver, PDL 1 positive at 99%, started on palliative chemotherapy with Keytruda, 2 weeks after the third cycle of keytruda presented to the ED for AMS. Patient noted to be very dehydrated, somnolescent and tachypnea. Labs consistent with sugars &gt; 600, potassium 6.8, Bicarb 5, Anion gap 33, beta hydroxybutyrate 11.5 (on 7/15/19 0.6), HbA1c 9.7,(On 12/15/16 7.3, 9/25/18 6.7, 1/22/19 7.4). PH 7.31, lactate 2.4. WBC count 21.5- no infectious source identified (CXR, CT brain, UA clean). Patient was admitted for DKA and treated with IV insulin and IV fluids. After medically stable patient was discharged with Insulin regimen. Within 5 days after being discharged, patient presented to ED again with DKA with PH 7.27, Bicarb 8, anion gap 22, sugars&gt;600, beta hydroxybuterate 13.70. Patient was Rx for DKA- after a week of hospitalization was discharged to Hospice(due to metastatic cancer) and few weeks later expired.To summarize, pt with well controlled type 2 DM on metformin presented with frequent DKA 2 weeks after treatment with third cycle of keytruda leading to worsening glycemic control in-turn making patient Insulin dependent. CONCLUSION Incidence of Type 1 DM with pembrolizumab treatment is being increasingly recognized and reported, and DKA is a common initial presentation. However we need further studies to establish the mechanism of worsening glycemic control leading to Insulin dependent and DKA in patients with pre-existing type 2 diabetes. Also, physicians should counsel patients about this potential immune related adverse effect and educate them about the symptoms of hyperglycemia and DKA. REFERENCES Immune checkpoint inhibitors and type 1 diabetes mellitus: a case report and systematic review Jeroen M K de Filette1, Joeri J Pen2, Lore Decoster3, Thomas Vissers4, Bert Bravenboer1, Bart J Van der Auwera5, Frans K Gorus5, Bart O Roep6,7, Sandrine Aspeslagh3, Bart Neyns3, Brigitte Velkeniers1 and Aan V Kharagjitsingh1,2,5,8 Immune checkpoint inhibitors: an emerging cause of insulin-dependent diabetes. Anupam Kotwal1, Candace Haddox2, Matthew Block3, Yogish C Kudva1. BMJ open Diabetes and research, Vol 7, issue1.


2021 ◽  
Vol 6 (2) ◽  
pp. 1444-1448
Author(s):  
Santosh Timalsina ◽  
Shishir Mahato ◽  
Sandesh Nepal

Introduction: Insulin resistance (IR) and glycemic control are two very important aspects to be considered during management of patients with Type 2 Diabetes Mellitus (T2DM). The triglyceride-glucose (TyG) index has been proposed as a simple and inexpensive parameter that correlates well with IR and glycemic control. Objectives: To explore the association of TyG index (and other TyG derived indices) with glycated hemoglobin (HbA1c) and evaluate their predictive ability for glycemic control in patients with T2DM. Methodology: This cross-sectional study comprised of 160 adult patients diagnosed with T2DM visiting the medical outpatient department of Chitwan Medical College, Bharatpur, Chitwan between July–December 2019. Socio-demographic data and anthropometric measurements were collected. Glycemic control was assessed by HbA1c. TyG index was calculated by the formula: ln [fasting TG (mg/dl) x fasting glucose (mg/dl)/2]. Receiver operating characteristic (ROC) curve analysis was performed to analyze the predictive ability of TyG-index for poor glycemic control. Results: One hundred and sixty patients (mean age: 53.6 ± 10.7 years, 55.0% males) were included in the study. Eighty (50.0%) had good glycemic control (HbA1c <7.0%). TyG index, along with TyG-BMI and TyG-WC (other TyG derived indices) were significantly increased in the poor glycemic control group. TyG index had a good predictive ability for poor glycemic control (AUC: 0.803, 95% CI: 0.731 – 0.874). A TyG cutoff ≥ 9.12 was optimal for predicting poor glycemic control, with 86.1% sensitivity and 61.5% specificity. Conclusion: TyG index could be a simple and cost-effective screening tool for assessment of glycemic control in patients with T2DM.


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