Multiple Factor Scoring System for Risk Assessment of Acute Pancreatitis

2001 ◽  
Vol 101 (1) ◽  
pp. 73-78 ◽  
Author(s):  
Julian E. Losanoff ◽  
Ognian K. Asparouhov ◽  
James W. Jones
Keyword(s):  
Risk Assessment ◽  
Acute Pancreatitis ◽  
Scoring System ◽  
Multiple Factor

scholarly journals A novel scoring system to estimate chemotherapy-induced myocardial toxicity: Risk assessment prior to non-anthracycline chemotherapy regimens

2021 ◽  
Vol 33 ◽  
pp. 100751
Author(s):  
Can Öztürk ◽  
Dayanat Validyev ◽  
Ulrich Marc Becher ◽  
Marcel Weber ◽  
Georg Nickenig ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Scoring System ◽  
Toxicity Risk ◽  
Anthracycline Chemotherapy

Components of a risk assessment tool for prevention and control of bovine respiratory disease in preweaned dairy calves

2020 ◽  
pp. 1-7
Author(s):  
Sharif S. Aly ◽  
Betsy M. Karle ◽  
Deniece R. Williams ◽  
Gabriele U. Maier ◽  
Sasha Dubrovsky
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Respiratory Disease ◽  
Scoring System ◽  
Prevention And Control ◽  
Assessment Tool ◽  
Bovine Respiratory Disease ◽  
And Control ◽  
Management Changes

Abstract Bovine respiratory disease (BRD) is the leading natural cause of death in US beef and dairy cattle, causing the annual loss of more than 1 million animals and financial losses in excess of $700 million. The multiple etiologies of BRD and its complex web of risk factors necessitate a herd-specific intervention plan for its prevention and control on dairies. Hence, a risk assessment is an important tool that producers and veterinarians can utilize for a comprehensive assessment of the management and host factors that predispose calves to BRD. The current study identifies the steps taken to develop the first BRD risk assessment tool and its components, namely the BRD risk factor questionnaire, the BRD scoring system, and a herd-specific BRD control and prevention plan. The risk factor questionnaire was designed to inquire on aspects of calf-rearing including management practices that affect calf health generally, and BRD specifically. The risk scores associated with each risk factor investigated in the questionnaire were estimated based on data from two observational studies. Producers can also estimate the prevalence of BRD in their calf herds using a smart phone or tablet application that facilitates selection of a true random sample of calves for scoring using the California BRD scoring system. Based on the risk factors identified, producers and herd veterinarians can then decide the management changes needed to mitigate the calf herd's risk for BRD. A follow-up risk assessment after a duration of time sufficient for exposure of a new cohort of calves to the management changes introduced in response to the risk assessment is recommended to monitor the prevalence of BRD.

scholarly journals Accuracy of conventional and novel scoring systems in predicting severity and outcomes of acute pancreatitis: a retrospective study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Wu ◽  
Jie Wang ◽  
Mengbin Qin ◽  
Huiying Yang ◽  
Zhihai Liang ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Organ Failure ◽  
Scoring System ◽  
Characteristic Curve ◽  
Failure Prediction ◽  
Scoring Systems ◽  
Mortality Prediction ◽  
Severity Prediction ◽  
Index Of Severity ◽  
Glasgow Score

Abstract Background Recently, several novel scoring systems have been developed to evaluate the severity and outcomes of acute pancreatitis. This study aimed to compare the effectiveness of novel and conventional scoring systems in predicting the severity and outcomes of acute pancreatitis. Methods Patients treated between January 2003 and August 2020 were reviewed. The Ranson score (RS), Glasgow score (GS), bedside index of severity in acute pancreatitis (BISAP), pancreatic activity scoring system (PASS), and Chinese simple scoring system (CSSS) were determined within 48 h after admission. Multivariate logistic regression was used for severity, mortality, and organ failure prediction. Optimum cutoffs were identified using receiver operating characteristic curve analysis. Results A total of 1848 patients were included. The areas under the curve (AUCs) of RS, GS, BISAP, PASS, and CSSS for severity prediction were 0.861, 0.865, 0.829, 0.778, and 0.816, respectively. The corresponding AUCs for mortality prediction were 0.693, 0.736, 0.789, 0.858, and 0.759. The corresponding AUCs for acute respiratory distress syndrome prediction were 0.745, 0.784, 0.834, 0.936, and 0.820. Finally, the corresponding AUCs for acute renal failure prediction were 0.707, 0.734, 0.781, 0.868, and 0.816. Conclusions RS and GS predicted severity better than they predicted mortality and organ failure, while PASS predicted mortality and organ failure better. BISAP and CSSS performed equally well in severity and outcome predictions.

scholarly journals Development and validation of a novel clinical scoring system for short‐term prediction of death in dogs with acute pancreatitis

2019 ◽  
Vol 33 (2) ◽  
pp. 499-507 ◽  
Author(s):  
Virginie Fabrès ◽  
Olivier Dossin ◽  
Clémence Reif ◽  
Miguel Campos ◽  
Valerie Freiche ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Scoring System ◽  
Short Term ◽  
Term Prediction ◽  
Clinical Scoring ◽  
Short Term Prediction ◽  
Development And Validation

A Scoring System to Predict Readmission of Patients With Acute Pancreatitis to the Hospital Within Thirty Days of Discharge

2011 ◽  
Vol 9 (2) ◽  
pp. 175-180 ◽  
Author(s):  
Tom L. Whitlock ◽  
April Tignor ◽  
Emily M. Webster ◽  
Kathryn Repas ◽  
Darwin Conwell ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Scoring System

scholarly journals Мінімізація кредитних ризиків у діяльності сільських кредитних спілок із використанням систем скорингу

2015 ◽  
pp. 99-102
Author(s):  
О. В. Орлов
Keyword(s):  
Risk Assessment ◽  
Credit Risk ◽  
Scoring System ◽  
Scientific Method ◽  
Credit Scoring ◽  
Credit Unions ◽  
Single Model ◽  
Rural Credit ◽  
Effective System

У статті розглянуто проблему кредитних ризиківу роботі сільських кредитних спілок та запропонова-но ефективну систему оцінки таких ризиків з викорис-танням системи скорингу. Наведені теоретичніджерела скорингу, як наукового методу. Надані кон-кретні пропозиції щодо розвитку та застосуванняскорингу в роботі сільських кредитних спілок. Акцен-товано увагу на важливості та необхідності засто-сування зазначеного методу в практичній діяльностіданих організацій, доцільності розробки єдиної моде-лі автоматизованої системи кредитного скорингудля мінімізації кредитних ризиків в роботі сільсько-господарських кредитних спілок. The article deals with the problem of credit risk in the rural credit unions and we offer an effective system of risk assessment using the scoring system. Theoretical sources of scoring as the scientific method are adduced. Specific offers for the development and application of scoring in the rural credit unions are given. We emphasize the importance and the need to use this method in practical activities of these organizations, the feasibility of developing of a single model of an automated credit scoring system in order to minimization of credit risk in the rural credit unions.

scholarly journals Comparison of BISAP and Ranson’s score for predicting severe acute pancreatitis and establish the validity of BISAP score

2020 ◽  
Vol 7 (5) ◽  
pp. 1473
Author(s):  
Amulya Aggarwal ◽  
Alok V. Mathur ◽  
Ram K. Verma ◽  
Megha Gupta ◽  
Dheeraj Raj
Keyword(s):  
Acute Pancreatitis ◽  
Likelihood Ratio ◽  
Sensitivity And Specificity ◽  
Severe Acute Pancreatitis ◽  
Predictive Value ◽  
Scoring System ◽  
Treatment Protocol ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Clinical Scoring

Background: Pancreatitis can lead to serious complications with severe morbidity and mortality. So an early, quick and accurate scoring system is necessary to stratify the patients according to their severity so as to enable early initiation of required management and care. Scoring system commonly used have some drawbacks. This study aimed to compare bedside index for severity in acute pancreatitis (BISAP) and Ranson’s score to predict severe acute pancreatitis and establish the validity of a simple and accurate clinical scoring system for stratifying patients.Methods: This is a prospective comparative study on 100 patients diagnosed with acute pancreatitis admitted in department of general surgery. Parameters included in the BISAP and Ranson’s criteria were studied at the time of admission and after 48 hours. Result of these two were compared with that of revised Atlanta classification.Results: As per the BISAP score, the sensitivity and specificity were 95.8 % (95% CI, 76.8-99.8), 94.7 % (95% CI, 86.3-98.3) whereas positive likelihood ratio, negative likelihood ratio 18.21 (95% CI, 6.9-47.44), 0.04 (95% CI, 0.01-0.30) and accuracy was 95 % (95% CI, 88.72%-98.36%). On using Ranson’s score, the sensitivity and specificity were 91.6 (95% CI, 71.5-98.5) and 89.4 (95% CI, 79.8-95) with a positive predictive value 8.71 (95% CI, 4.47-18.96) and negative predictive value of 0.09 (95% CI, 0.02-0.35) and accuracy of 90% (95% CI, 82.38%-95.10%)..Conclusions: BISAP score outperformed Ranson’s score in terms of Sensitivity and specificity of prediction of severe pancreatitis. The authors recommend inclusion of BISAP Scoring system in standard treatment protocol of management of acute pancreatitis.

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