scholarly journals Risk factors for acute pancreatitis in patients with severe motor and intellectual disabilities

2014 ◽  
Vol 56 (2) ◽  
pp. 240-243 ◽  
Author(s):  
Akiko Tamasaki ◽  
Yoko Nishimura ◽  
Noriko Kondo ◽  
Kentaro Shirai ◽  
Yoshihiro Maegaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Intellectual Disabilities ◽  
Severe Motor

scholarly journals Risk factors of malnutrition in children with severe motor and intellectual disabilities

2020 ◽  
Vol 42 (10) ◽  
pp. 738-746 ◽  
Author(s):  
Mari Hasegawa ◽  
Kiyotaka Tomiwa ◽  
Yukie Higashiyama ◽  
Chiharu Kawaguchi ◽  
Hajime Kin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intellectual Disabilities ◽  
Severe Motor

scholarly journals Risk Factors for Tracheo-innominate Artery Fistula after Laryngotracheal Separation/Laryngectomy in Patients with Severe Motor and Intellectual Disabilities

2018 ◽  
Vol 121 (3) ◽  
pp. 215-221
Author(s):  
Daiki Morishita ◽  
Yasunori Sakuma ◽  
Yukiko Yamashita ◽  
Masanori Komatsu ◽  
Kunihiko Shibata ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intellectual Disabilities ◽  
Innominate Artery ◽  
Laryngotracheal Separation ◽  
Severe Motor

Risk Factors Among Youth With Intellectual Disabilities in Foster Care

2012 ◽  
Author(s):  
Cindy M. Ross ◽  
Jacqueline Remondet Wall ◽  
Steven M. Koch ◽  
Crystal L. Cederna-Meko
Keyword(s):  
Risk Factors ◽  
Foster Care ◽  
Intellectual Disabilities

OXIDATIVE STRESS IN PATIENTS WITH SEVERE MOTOR AND INTELLECTUAL DISABILITIES

2006 ◽  
Vol 37 (S 1) ◽  
Author(s):  
N Tanuma ◽  
Y Hachiya ◽  
R Miyata ◽  
M Hayashi
Keyword(s):  
Oxidative Stress ◽  
Intellectual Disabilities ◽  
Severe Motor

scholarly journals Early prediction of in-hospital mortality in acute pancreatitis: a retrospective observational cohort study based on a large multicentre critical care database

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041893
Author(s):  
Caifeng Li ◽  
Qian Ren ◽  
Zhiqiang Wang ◽  
Guolin Wang
Keyword(s):  
Risk Factors ◽  
Acute Pancreatitis ◽  
Multivariate Analysis ◽  
Hospital Mortality ◽  
Observational Cohort Study ◽  
Calibration Plot ◽  
Observational Cohort ◽  
Care Database ◽  
Retrospective Observational Cohort Study ◽  
Apache Iv

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.

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