Risk Factors of Hyperglycemia in Patients After a First Episode of Acute Pancreatitis

Pancreas ◽  
2017 ◽  
Vol 46 (2) ◽  
pp. 209-218 ◽  
Author(s):  
Lin Yuan ◽  
Mengdie Tang ◽  
Lin Huang ◽  
Yi Gao ◽  
Xueliang Li
2021 ◽  
Vol 4 (1) ◽  
pp. e000209
Author(s):  
Qipeng Zheng ◽  
Xueqiang Yan ◽  
Liang Ge ◽  
Shujian Zhang ◽  
Yan Sun ◽  
...  

BackgroundAlthough complete resolution and recovery occurs in most children with an initial attack of acute pancreatitis (AP), a subset of children may progress to recurrent AP (RAP). RAP has serious effects to the individual and the socioeconomic burden. The aim of this project was to identify the independent risk factors for pediatric RAP so as to provide evidence for its prevention, early diagnosis and treatment.MethodsA retrospective cohort study of children discharged from Tianjin Children’s Hospital from June 2017 to January 2020 was performed. Demographic and clinical variables, treatment strategies, clinical course and outcomes were collected. Independent risk factors of RAP were identified using the logistic regression model.ResultsOf the total 96 enrolled children, 30 (31.3%) developed RAP during the follow-up period. The majority (27/30, 90%) of the children with AP developed RAP within 6 months of their first AP attack. The presence of systemic inflammatory response syndrome (SIRS) [odds ratio (OR)=6.652, 95% confidence interval (CI) 1.989 to 22.247], fasting time (OR=1.267, 95% CI 1.104 to 1.583), whether meet all three AP diagnostic criteria (OR=7.438, 95% CI 1.346 to 41.103) and abnormal amylase/lipase value on the seventh day of hospitalization (OR=3.601, 95% CI 0.972 to 13.342) were independent risk factors of RAP in children.ConclusionsMost children who developed RAP had progressed within 6 months after their first episode of AP. RAP was more common in children who met all three AP diagnostic criteria at initial attack and in children with SIRS, long fasting time and abnormal amylase/lipase value on the seventh day of hospitalization.


2017 ◽  
Vol Ano 7 ◽  
pp. 8-12
Author(s):  
Ana Beatriz de Oliveira Assis ◽  
Jayse Gimenez Pereira Brandão ◽  
Pedro Otávio Piva Espósito ◽  
Osmar Tessari Junior ◽  
Bruno Berlucci Ortiz

Objetivo: Ainda não está claro quais são os fatores de risco para a esquizofrenia resistente ao tratamento (ERT) em primeiro episódio psicótico (PEP). O objetivo deste trabalho é investigar indicadores de risco para ERT em PEP. Métodos: Foram selecionados 53 pacientes em primeiro episódio psicótico, com diagnóstico de esquizofrenia, que deram entrada à enfermaria de psiquiatria do Hospital das Clínicas Luzia de Pinho Melo entre 2011 e 2015. Ao ser admitido na enfermaria, o paciente era avaliado com a Escala de Sintomas para as Síndromes Positiva e Negativa (Positive and Negative Syndrome Scale – PANSS) e recebia tratamento inicial por 4 semanas. Caso sua resposta fosse inferior a 40% de redução na PANSS, o antipsicótico era trocado, e as escalas eram aplicadas novamente após mais 4 semanas. Após a falha com dois antipsicóticos, em doses plenas, por 4 semanas cada, a clozapina era introduzida, e o paciente era considerado ERT. Uma regressão logística foi aplicada onde sexo, idade de início, tempo de doença não tratada, uso de substâncias, avaliação global do funcionamento inicial e PANSS inicial total foram inseridos como variáveis independentes, e ERT foi inserida como variável dependente. Resultados: Tempo de doença não tratada apresentou significância de p = 0,038 e Exp (B) = 4,29, enquanto que PANSS total apresentou p = 0,012 e Exp (B) = 1,06. Conclusão: Identificar os fatores associados à resistência precoce ao tratamento poderia permitir aos clínicos evitar o atraso na introdução da clozapina e prevenir um pior prognóstico para esses pacientes.


2016 ◽  
Vol 4 (1) ◽  
pp. 3-7
Author(s):  
Tanka Prasad Bohara ◽  
Dimindra Karki ◽  
Anuj Parajuli ◽  
Shail Rupakheti ◽  
Mukund Raj Joshi

Background: Acute pancreatitis is usually a mild and self-limiting disease. About 25 % of patients have severe episode with mortality up to 30%. Early identification of these patients has potential advantages of aggressive treatment at intensive care unit or transfer to higher centre. Several scoring systems are available to predict severity of acute pancreatitis but are cumbersome, take 24 to 48 hours and are dependent on tests that are not universally available. Haematocrit has been used as a predictor of severity of acute pancreatitis but some have doubted its role.Objectives: To study the significance of haematocrit in prediction of severity of acute pancreatitis.Methods: Patients admitted with first episode of acute pancreatitis from February 2014 to July 2014 were included. Haematocrit at admission and 24 hours of admission were compared with severity of acute pancreatitis. Mean, analysis of variance, chi square, pearson correlation and receiver operator characteristic curve were used for statistical analysis.Results: Thirty one patients were included in the study with 16 (51.61%) male and 15 (48.4%) female. Haematocrit at 24 hours of admission was higher in severe acute pancreatitis (P value 0.003). Both haematocrit at admission and at 24 hours had positive correlation with severity of acute pancreatitis (r: 0.387; P value 0.031 and r: 0.584; P value 0.001) respectively.Area under receiver operator characteristic curve for haematocrit at admission and 24 hours were 0.713 (P value 0.175, 95% CI 0.536 - 0.889) and 0.917 (P value 0.008, 95% CI 0.813 – 1.00) respectively.Conclusion: Haematocrit is a simple, cost effective and widely available test and can predict severity of acute pancreatitis.Journal of Kathmandu Medical College, Vol. 4(1) 2015, 3-7


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041893
Author(s):  
Caifeng Li ◽  
Qian Ren ◽  
Zhiqiang Wang ◽  
Guolin Wang

ObjectiveTo develop and validate a prediction model for predicting in-hospital mortality in patients with acute pancreatitis (AP).DesignA retrospective observational cohort study based on a large multicentre critical care database.SettingAll subject data were collected from the eICU Collaborative Research Database (eICU-CRD), which covers 200 859 intensive care unit admissions of 139 367 patients in 208 US hospitals between 2014 and 2015.ParticipantsA total of 746 patients with AP were drawn from eICU-CRD. Due to loss to follow-up (four patients) or incomplete data (364 patients), 378 patients were enrolled in the primary cohort to establish a nomogram model and to conduct internal validation.Primary and secondary outcome measuresThe outcome of the prediction model was in-hospital mortality. All risk factors found significant in the univariate analysis were considered for multivariate analysis to adjust for confounding factors. Then a nomogram model was established. The performance of the nomogram model was evaluated by the concordance index (C-index) and the calibration plot. The nomogram model was internally validated using the bootstrap resampling method. The predictive accuracy of the nomogram model was compared with that of Acute Physiology, Age, and Chronic Health Evaluation (APACHE) IV. Decision curve analysis (DCA) was performed to evaluate and compare the potential net benefit using of different predictive models.ResultsThe overall in-hospital mortality rate is 4.447%. Age, BUN (blood urea nitrogen) and lactate (ABL) were the independent risk factors determined by multivariate analysis. The C-index of nomogram model ABL (0.896 (95% CI 0.825 to 0.967)) was similar to that of APACHE IV (p=0.086), showing a comparable discriminating power. Calibration plot demonstrated good agreement between the predicted and the actual in-hospital mortality. DCA showed that the nomogram model ABL was clinically useful.ConclusionsNomogram model ABL, which used readily available data, exhibited high predictive value for predicting in-hospital mortality in AP.


Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Vita Jaspan ◽  
Verity Schaye ◽  
Andrew S. Parsons ◽  
David Kudlowitz

Abstract Objectives Cognitive biases can result in clinical reasoning failures that can lead to diagnostic errors. Autobrewery syndrome is a rare, but likely underdiagnosed, condition in which gut flora ferment glucose, producing ethanol. It most frequently presents with unexplained episodes of inebriation, though more case studies are necessary to better characterize the syndrome. Case presentation This is a case of a 41-year old male with a past medical history notable only for frequent sinus infections, who presented with recurrent episodes of acute pancreatitis. In the week prior to his first episode of pancreatitis, he consumed four beers, an increase from his baseline of 1–2 drinks per month. At home, he had several episodes of confusion, which he attributed to fatigue. He underwent laparoscopic cholecystectomy and testing for genetic and autoimmune causes of pancreatitis, which were non-revealing. He was hospitalized 10 more times during that 9-month period for acute pancreatitis with elevated transaminases. During these admissions, he had elevated triglycerides requiring an insulin drip and elevated alcohol level despite abstaining from alcohol for the prior eight months. His alcohol level increased after consumption of complex carbohydrates, confirming the diagnosis of autobrewery syndrome. Conclusions Through integrated commentary on the diagnostic reasoning process, this case underscores how overconfidence can lead to premature closure and anchoring resulting in diagnostic error. Using a metacognitive overview, case discussants describe the importance of structured reflection and a standardized approach to early hypothesis generation to navigate these cognitive biases.


2010 ◽  
Vol 30 (4) ◽  
pp. 440-447 ◽  
Author(s):  
Jie Dong ◽  
Yuan Chen

ObjectiveWe studied whether improper bag exchange predicts the first peritonitis episode in continuous ambulatory peritoneal dialysis (CAPD) patients.Patients and MethodsOur single-center prospective observational study of 130 incident urban CAPD patients who started peritoneal dialysis (PD) between March 2005 and August 2008 aimed to determine the relationship between bag exchange procedures examined at the 6th month of PD and risk for a first peritonitis episode. All patients were followed until a first peritonitis episode, censoring, or the end of the study.ResultsThese 130 patients experienced 22 first peritonitis episodes during the 14-month follow-up. During bag exchange evaluation, 51.5% of patients washed their hands improperly, 46.2% failed to check expiration date or bag leakage, and 11.5% forgot to wear a face mask and cap. Patients experiencing peritonitis were more likely to forget to wear a face mask and cap. In multivariate Cox regression model, not wearing a face mask and cap [hazard ratio (HR): 7.26; 95% confidence interval (CI): 2.6 to 20.1; p < 0.001] and having anemia (HR: 0.96; 95% CI: 0.94 to 0.99; p = 0.005) were independent risk factors for a first episode of peritonitis.ConclusionsNot wearing a face mask and cap and having anemia were independent risk factors for peritonitis. A further randomized control study needs to verify the correlation between improper bag exchange technique and peritonitis in PD patients.


2017 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Dewa Ayu Ketut Sri Abadi ◽  
Dewa Nyoman Wirawan ◽  
Anak Agung Sagung Sawitri ◽  
I Gusti Ayu Trisna Windiani

Background and purpose: Period prevalence of pneumonia among children in Indonesia increased from 2.1 in 2007 to 2.7 per 1000 children in 2013. The highest incidence was found among children aged 12-23 months. This study aims to examine association between delayed access to health care facilities and severity of children pneumonia.Methods: A case control study was conducted in Denpasar City. A total of 132 children were recruited to participate in this study, consisted of 44 cases and 88 controls. Cases were selected from 161 children with severe pneumonia who registered at Pulmonology Department of Sanglah General Hospital between January 2015 to April 2016. Controls were selected from 261 children aged 12-59 months with mild pneumonia who visited out-patient service at all community health centres in Denpasar City between January 2015 and April 2016. Cases and controls were matched by sex. Data were collected by interview with the parents in their houses. Data were analysed using multivariate analysis with logistic regression.Results: Risk factors associated to severity of pneumonia among children aged 12-59 months were delayed access to treatment for more than three days (AOR=2.15;95%CI: 1.39-3.32), non-health care facilities at first episode of illness (AOR=4.02; 95%CI: 1.53-10.61) and frequent episodes of respiratory infections (>4 times) over the last 6 months (AOR=5.45; 95%CI: 2.13-13.96).Conclusion: Delayed access to treatment, did not access healthcare facilities at first episode of illness, and high frequency of acute respiratory infections are risk factors of severe pneumonia among children.


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