Showing 1-20 of 39 for: Decision Support Tools > Infectious disease 
- AIDS progression likelihood
LOE 1a
Decision Support Tools, 1-Aug-2002
Based on the results of Lundgren JD, Mocroft A, Gatell JM, et al. A clinically prognostic scoring system for patients receiving highly active antiretroviral therapy: results from the EuroSIDA study. J Infect Dis 2002; 185: 178-87
- Avian flu (H76N9) diagnosis
LOE 1a
Decision Support Tools, 1-Nov-2016
Based on the results of Liao Q, Ip DK, Tsang TK, et al. A clinical prediction rule for diagnosing human infections with avian influenza A (H7N9) in a hospital emergency department setting. BMC Medicine 2014; 12: 127.
- Bacteremia risk (age 3 to 36 months)
LOE 1a
Decision Support Tools, 1-Feb-2004
Based on the results of Isaacman DJ, Shults J, Gross TK, et al. Predictors of bacteremia in febrile children age 3 to 36 months of age. Pediatrics 2000; 106: 977-82.
- C. difficile probability in hospitalized patients
LOE 1a
Decision Support Tools, 2-Jul-2014
Based on the results of Chandra S, Latt N, Jariwala U, et al. A cohort study for the derivation and validation of a clinical prediction scale for hospital-onset Clostridium difficile infection. Can J Gastroenterol 2012; 26: 885-8.
- Cellulitis in children: need for IV antibiotics (Melbourne ASSET score)
LOE 1a
Decision Support Tools, 11-Jul-2019
Based on the results of Ibrahim LF, et al. Development and validation of a cellulitis risk score: The Melbourne ASSET score. Pediatrics 2019; 143: e20181420
- Chagas Heart disease prognosis
LOE 1a
Decision Support Tools, 1-Jun-2010
Based on the results of Rassi A, Rassi A, Little WC, et al. Development and validation of a risk score for predicting death in Chagas heart disease. N Engl J Med 2006; 355: 799-808
- Clostridium difficile: prediction of severe infection
LOE 1a
Decision Support Tools, 2-Jul-2015
Based on the results of Na X, Martin AJ, Sethi S, et al. A multi-center prospective derivation and validation of a clinical prediction tool for severe clostridium difficile infection. PLOS One 2015. 10(4): e0123405.doi:10.1371/journal.pone.0123405
- Community-acquired pneumonia: risk of bacteremia
LOE 1a
Decision Support Tools, 11-Jul-2019
Based on the results of Kim B, et al. Bacteremia prediction model for community-acquired pneumonia: external validation in a multicenter retrospective cohort. Acad Emerg Med 2017; 24: 1226-34
- Diagnosis of cellulitis (ALT70 score)
LOE 1a
Decision Support Tools, 19-Jul-2021
Based on the results of Raff AB, Weng QY, Cohen JM, et al. A predictive model for diagnosis of lower extremity cellulitis: A cross-sectional study.?J Am Acad Dermatol. 2017;76(4):618-625.e2. doi:10.1016/j.jaad.2016.12.044
- Drug Resistance in Pneumonia score (DRIP)
LOE 1a
Decision Support Tools, 1-Jun-2017
Based on the results of Webb BJ, et al. Derivation and multicenter validation of the drug resistance in pneumonia clinical prediction score. Antimicrobial Agents Chemo 2016; 60(5): 2652-62.
- Febrile infant < 60 days at low risk for SBI (PECARN Febrile Infant Rule)
LOE 1a
Decision Support Tools, 1-Jun-2022
Based on the results of Kuppermann N, et al. A clinical prediction rule to identify febrile infants 60 days and younger at low risk for serious bacterial infections. JAMA Pediatrics 2019; 173: 342-51.
- Hepatitis C: prognosis of advanced hepatic fibrosis
LOE 1a
Decision Support Tools, 1-Nov-2016
Based on the results of van der Meer AJ, Hansen BE, Fattovich G, et al. Reliable prediction of clinical outcome in patients with chronic HCV infection and compensated advanced hepatic fibrosis: a validated model using objective and readily available clinical parameters. Gut 2015; 64: 322-31.
- Influenza diagnosis (adults)
LOE 1a
Decision Support Tools, 20-Jun-2012
Based on the results of Ebell MH, Afonso AM, Gonzales R, et al. Development and validation of a clinical decision rule for the diagnosis of influenza. J Am Board Fam Med 2012; 25(1): 55-62
- Invasive bacterial infection in febrile infants (Step by Step rule)
LOE 1a
Decision Support Tools, 1-Jun-2017
Based on the results of Gomez B, et al. Validation of the Step-by-Step approach in the management of young febrile infants. Pediatrics 2016; DOI: 10.1542/peds.2015-4381
- Legionella probability in community-acquired pneumonia
LOE 1a
Decision Support Tools, 2-Jul-2015
Based on the results of Haubitz S, Hitz F, Graedel L, et al. Ruling out legionella in community-acquired pneumonia. Am J Med 2014; 127: 1010.e11-1010.e19
- Leprosy: predicting nerve function impairment
LOE 1a
Decision Support Tools, 1-Sep-2001
Based on the results of Croft RP, Nicholls PG, Steyerberg EW,et al. A clinical prediction rule for nerve-function impairment in leprosy patients. Lancet 2000; 355: 1603-6.
- Lower respiratory tract infection prognosis in outpatient adults
LOE 1a
Decision Support Tools, 1-Jun-2022
Based on the results of Moore M, Et al. Predictors of adverse outcomes in uncomplicated lower respiratory tract infections. Ann Fam Med 2019; 17: 231-8.
- Lyme meningitis diagnosis (Rule of 7's)
LOE 1a
Decision Support Tools, 20-Jun-2012
Based on the results of Cohn KA, Thompson AD, Shah SS, et al. Validation of a clinical prediction rule to distinguish Lyme Meningitis from aseptic meningitis. Pediatrics 2012; 129(1): e46
- Meningitis diagnosis children (Bacterial Meningitis Score)
LOE 1a
Decision Support Tools, 1-Sep-2004
Based on the results of Nigrovic LE, Kuppermann N, Malley R. Development and validation of a multivariate predictive model to distinguish bacterial from aseptic meningitis in children in the post-haemophilus influenza era. Pediatrics 2002; 110: 712-9.
- Mortality in patients with suspected sepsis (CHARM)
LOE 1A
Decision Support Tools, 1-Jun-2018
Based on the results of Chen KF, Liu SH, Li CH, et al. Development and validation of a parsimonious and pragmatic CHAM score to predict mortality in patients with sepsis. Am J Emerg Med 2017; 35: 640-6.
