OBJECTIVE: To validate a previously published clinical decision rule to predict risk of urinary tract infection in febrile young girls. METHODS: We performed a retrospective case-control study at a children's hospital emergency department in a different city than that in which the original derivation study took place. Girls younger than 2 years in whom urinalysis and urine culture were performed for evaluation of fever were eligible. Cases consisted of all patients with a positive urine culture result, defined as 50,000 or more colony-forming units per milliliter of a urinary tract pathogen (n = 98). A random sample of patients with a negative urine culture result (n = 114) was also selected as controls. The clinical prediction rule included five risk factors: age younger than 12 months, white race, temperature of 39.0 degrees C or higher, absence of any other potential source of fever, and fever for 2 days or more. The sensitivity and false-positive rate of this rule were calculated at different cutoff values. RESULTS: The overall discriminative ability of the rule, as indicated by the area under the receiver-operator characteristic curve (AUC), was similar in this validation sample (AUC = 0.72) to that in the original study (AUC = 0.76). However, in the validation sample, the presence of three or more risk factors (rather than two or more as in the original study) appeared to be the optimum cutoff to define a positive rule, which results in an indication for obtaining further diagnostic testing (sensitivity, 88% [95% CI, 79-94%]; false-positive rate, 70% [95% CI, 61-79%]). CONCLUSION: A simple clinical decision rule previously developed to predict urinary tract infection based on five risk factors performs similarly in a different patient population.
OBJECTIVE: To validate a previously published clinical decision rule to predict risk of urinary tract infection in febrile young girls. METHODS: We performed a retrospective case-control study at a children's hospital emergency department in a different city than that in which the original derivation study took place. Girls younger than 2 years in whom urinalysis and urine culture were performed for evaluation of fever were eligible. Cases consisted of all patients with a positive urine culture result, defined as 50,000 or more colony-forming units per milliliter of a urinary tract pathogen (n = 98). A random sample of patients with a negative urine culture result (n = 114) was also selected as controls. The clinical prediction rule included five risk factors: age younger than 12 months, white race, temperature of 39.0 degrees C or higher, absence of any other potential source of fever, and fever for 2 days or more. The sensitivity and false-positive rate of this rule were calculated at different cutoff values. RESULTS: The overall discriminative ability of the rule, as indicated by the area under the receiver-operator characteristic curve (AUC), was similar in this validation sample (AUC = 0.72) to that in the original study (AUC = 0.76). However, in the validation sample, the presence of three or more risk factors (rather than two or more as in the original study) appeared to be the optimum cutoff to define a positive rule, which results in an indication for obtaining further diagnostic testing (sensitivity, 88% [95% CI, 79-94%]; false-positive rate, 70% [95% CI, 61-79%]). CONCLUSION: A simple clinical decision rule previously developed to predict urinary tract infection based on five risk factors performs similarly in a different patient population.
Authors: Alastair D Hay; Jonathan A C Sterne; Kerenza Hood; Paul Little; Brendan Delaney; William Hollingworth; Mandy Wootton; Robin Howe; Alasdair MacGowan; Michael Lawton; John Busby; Timothy Pickles; Kate Birnie; Kathryn O'Brien; Cherry-Ann Waldron; Jan Dudley; Judith Van Der Voort; Harriet Downing; Emma Thomas-Jones; Kim Harman; Catherine Lisles; Kate Rumsby; Stevo Durbaba; Penny Whiting; Christopher C Butler Journal: Ann Fam Med Date: 2016-07 Impact factor: 5.166
Authors: Harriet Downing; Emma Thomas-Jones; Micaela Gal; Cherry-Ann Waldron; Jonathan Sterne; William Hollingworth; Kerenza Hood; Brendan Delaney; Paul Little; Robin Howe; Mandy Wootton; Alastair Macgowan; Christopher C Butler; Alastair D Hay Journal: BMC Infect Dis Date: 2012-07-19 Impact factor: 3.090
Authors: Yun Seong Park; Jin Hee Lee; Young Ho Kwak; Jae Yun Jung; Hyuksool Kwon; Yoo Jin Choi; Dong Bum Suh; Bongjin Lee; Min-Jung Kim; Do Kyun Kim Journal: Clin Exp Emerg Med Date: 2021-12-31