Tight glucose control (TGC) using a sliding scale based on intermittent blood glucose measurements occasionally can have a fatal outcome as a result of insulin-induced hypoglycemia. The present study was undertaken to examine whether the use of an artificial pancreas to achieve TGC would be possible in postoperative patients with sepsis. The retrospective study was carried out as an exploratory study, focusing on the possibility of precise evaluation of the significance of TGC as a beneficial intervention by serological monitoring of various mediators. TGC was accomplished using an artificial pancreas (STG-22; (Nikkiso, Tokyo, Japan). The patients were divided into two groups: the TGC group (6 patients with sepsis in whom the target blood glucose level set at <150 mg/dl was attempted using the artificial pancreas), and the glucose control (GC) group (6 patients with sepsis in whom glucose control was attempted using a sliding scale; target blood glucose level was set at 200 mg/dl or lower). The mean blood glucose level was 129.7 ± 9.7 mg/dl in the TGC group and 200.9 ± 14.7 mg/dl in the GC group (P < 0.01, ANOVA). No hypoglycemia associated with the artificial pancreas was seen in any of the patients. The serum levels of S100A12 and HMGB-1 tended to decrease, and those of sRAGE tended to increase, in the TGC group. Further data collection from a larger number of cases would be expected to allow a precise assessment of TGC as a potentially beneficial intervention in sepsis patients.
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http://dx.doi.org/10.1007/s10156-011-0268-4 | DOI Listing |
Semin Cancer Biol
December 2024
Department of Biology, University of Pisa, Pisa, Italy. Electronic address:
Pancreatic ductal adenocarcinoma (PDAC) is the most lethal and common form of pancreatic cancer, it has no specific symptoms, and most of the patients are diagnosed when the disease is already at an advanced stage. Chemotherapy typically has only a modest effect, making surgery the most effective treatment option. However, only a small percentage of patients are amenable to surgery.
View Article and Find Full Text PDFStem Cell Res Ther
December 2024
Department of Central Laboratory, Shenzhen Hospital, Beijing University of Chinese Medicine, Shenzhen, Guangdong, China.
Background: The simultaneous differentiation of human pluripotent stem cells (hPSCs) into both endodermal and mesodermal lineages is crucial for developing complex, vascularized tissues, yet poses significant challenges. This study explores a method for co-differentiation of mesoderm and endoderm, and their subsequent differentiation into pancreatic progenitors (PP) with endothelial cells (EC).
Methods: Two hPSC lines were utilized.
Diabetes Metab
December 2024
Institut de recherches cliniques de Montréal, Canada; Département de Nutrition, Faculté de Médecine, Université de Montréal, Canada; Endocrinology Division and Montreal Diabetes Research Center, Canada. Electronic address:
Objective: We investigated strategies to mitigate hypoglycemic risk during and after different aerobic exercises in people with type 1 diabetes (pwT1D) using continuous subcutaneous insulin infusion.
Research Design And Methods: Thirty-seven pwT1D (21 adults, 16 adolescents; HbA1c = 7.5 ± 1.
PLoS One
December 2024
Research Unit of Translational Medicine, Oulu University Hospital, Oulu, Finland.
The utilization of artificial intelligence (AI) is expanding significantly within medical research and, to some extent, in clinical practice. Deep learning (DL) applications, which use large convolutional neural networks (CNN), hold considerable potential, especially in optimizing radiological evaluations. However, training DL algorithms to clinical standards requires extensive datasets, and their processing is labor-intensive.
View Article and Find Full Text PDFSurg Oncol
November 2024
Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan. Electronic address:
Background: Standard gastrectomy with D2 lymph node (LN) dissection for gastric cancer involves peripancreatic lymphadenectomy [1]. This technically demanding procedure requires meticulous dissection within the dissectable layers of connective tissue, while identifying and preserving the pancreas [2]. Our previous study demonstrated the proficiency of Eureka, a surgical artificial intelligence (AI) system, in recognizing both connective tissue and the pancreas [3,4].
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