SEMICYUC 2012. Recommendations for intensive care management of acute pancreatitis

Poma, E. Maraví; Zubia-Olaskoaga, Félix; Петров,; Soto, Salvador Navarro; Santos, C. Laplaza; Álava, Fernando; Martín, A. Darnell; López, B.; Concejo, F. Bolado; Villarroya, M. Casi; Garralda, M. Aizcorbe; Arbizu, Eduardo Albéniz; Riera, J. A. Sanchez-Izquierdo; León, Jordi; Laguna, L. Bordejé; Camps, V. López; Marcos-Neira, Pilar; Sanz, E. Regidor; Mendioroz, F. Jiménez

doi:10.1016/j.medine.2013.05.001

Cited by 25 publications

(13 citation statements)

References 107 publications

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“…A total of 34 participants with NODAP were recruited. Diagnosis of AP was established prospectively at the time of hospitalisation (to Auckland City Hospital), in line with the most recent international guidelines . New‐onset prediabetes or diabetes status was determined no earlier than 3 months after hospital discharge after AP using the American Diabetes Association criteria: glycated haemoglobin (HbA1c) ≥39 mmol/mol (5.7%) and/or fasting blood glucose (FBG) ≥5.6 mmol/L (100 mg/dL).…”

Section: Methodsmentioning

confidence: 99%

Comprehensive analysis of body composition and insulin traits associated with intra‐pancreatic fat deposition in healthy individuals and people with new‐onset prediabetes/diabetes after acute pancreatitis

Singh

Nguyen

DeSouza

et al. 2018

Diabetes Obesity Metabolism

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Current knowledge of biomarkers of intra-pancreatic fat deposition (IFD) is limited. We aimed to analyse comprehensively body composition and insulin traits as biomarkers of IFD in healthy normoglycaemic individuals as well as in individuals with new-onset prediabetes or diabetes after acute pancreatitis (NODAP). A total of 29 healthy individuals and 34 individuals with NODAP took part in this cross-sectional study. The studied biomarkers belonged to the following domains: body composition (anthropometric and MRI-derived variables); indices of insulin secretion; indices of insulin sensitivity; incretins and related peptides; and pancreatitis-related factors. All MRI-derived variables (including IFD) were measured using ImageJ software. Univariate and step-wise regression analyses were conducted to determine variables that best explained variance in IFD. Visceral fat volume and oxyntomodulin were the best biomarkers of IFD in normoglycaemic healthy individuals, contributing to 64% variance. The Raynaud index was the best biomarker of IFD in individuals with NODAP, contributing to 20% variance. Longitudinal studies are warranted to investigate the cause and effect relationship between oxyntomodulin and IFD in healthy individuals, as well as insulin sensitivity and IFD in individuals with NODAP.

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Section: Methodsmentioning

confidence: 99%

Comprehensive analysis of body composition and insulin traits associated with intra‐pancreatic fat deposition in healthy individuals and people with new‐onset prediabetes/diabetes after acute pancreatitis

Singh

Nguyen

DeSouza

et al. 2018

Diabetes Obesity Metabolism

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“…Several medical societies and authors have developed consensus papers and have presented evidence-based guidelines intended to improve decisions about fluids and related outcomes (Garnacho-Montero 2015;NICE 2013;Raghunathan 2014b;Reinhart 2012). Other guidelines have focused more on critical illness and have provided recommendations concerning fluid therapy (Dellinger 2013;Maraví 2014).…”

Section: B a C K G R O U N D Description Of The Conditionmentioning

confidence: 99%

Buffered solutions versus 0.9% saline for resuscitation in critically ill adults and children

Antequera

Barea‐Mendoza

Muriel

et al. 2019

Cochrane Database of Systematic Reviews

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“…Consecutive individuals aged 18 years or above with a primary diagnosis of AP, established prospectively based on international guidelines, 16 were invited to participate. All participants provided written informed consent.…”

Section: Methodsmentioning

confidence: 99%

Glucose variability during the early course of acute pancreatitis predicts two‐year probability of new‐onset diabetes: A prospective longitudinal cohort study

Bharmal

Cho

et al. 2022

UEG Journal

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Background Acute pancreatitis (AP) is the largest contributor to diabetes of the exocrine pancreas. However, there is no accurate predictor at the time of hospitalisation for AP to identify individuals at high risk for new‐onset diabetes. Objective To investigate the accuracy of indices of glucose variability (GV) during the early course of AP in predicting the glycated haemoglobin (HbA1c) trajectories during follow‐up. Methods This was a prospective longitudinal cohort study of patients without diabetes at the time of hospitalisation for AP. Fasting blood glucose was regularly measured over the first 72 h of hospital admission. The study endpoint was the HbA1c trajectories ‐ high‐increasing, moderate‐stable, normal‐stable ‐ over two years of follow‐up. Multinomial logistic regression analyses were conducted to investigate the associations between several common GV indices and the HbA1c trajectories, adjusting for covariates (age, sex, and body mass index). A sensitivity analysis constrained to patients with non‐necrotising AP was conducted. Results A total of 120 consecutive patients were studied. All patients in the high‐increasing HbA1c trajectory group had new‐onset diabetes at 18 and 24 months of follow‐up. Glycaemic lability index had the strongest significant direct association (adjusted odds ratio = 13.69; p = 0.040) with the high‐increasing HbA1c trajectory. High admission blood glucose, standard deviation of blood glucose, and average real variability significantly increased the patients' odds of taking the high‐increasing HbA1c trajectory by at least two‐times. Admission blood glucose, but not the other GV indices, had a significant direct association (adjusted odds ratio = 1.46; p = 0.034) with the moderate‐stable HbA1c trajectory. The above findings did not change materially in patients with non‐necrotising AP alone. Conclusions High GV during the early course of AP gives a prescient warning of worsening HbA1c pattern and new‐onset diabetes after hospital discharge. Determining GV during hospitalisation could be a relatively straightforward approach to early identification of individuals at high risk for new‐onset diabetes after AP.

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SEMICYUC 2012. Recommendations for intensive care management of acute pancreatitis

Cited by 25 publications

References 107 publications

Comprehensive analysis of body composition and insulin traits associated with intra‐pancreatic fat deposition in healthy individuals and people with new‐onset prediabetes/diabetes after acute pancreatitis

Comprehensive analysis of body composition and insulin traits associated with intra‐pancreatic fat deposition in healthy individuals and people with new‐onset prediabetes/diabetes after acute pancreatitis

Buffered solutions versus 0.9% saline for resuscitation in critically ill adults and children

Glucose variability during the early course of acute pancreatitis predicts two‐year probability of new‐onset diabetes: A prospective longitudinal cohort study

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