Acute pyelonephritis in adults - Prediction of mortality and failure of treatment

被引:80
作者
Efstathiou, SP
Pefanis, AV
Tsioulos, DI
Zacharos, ID
Tsiakou, AG
Mitromaras, AG
Mastorantonakis, SE
Kanavaki, SN
Mountokalakis, TD
机构
[1] Univ Athens, Sch Med, Dept Med 3, Sotiria Gen Hosp, GR-11527 Athens, Greece
[2] Univ Athens, Sch Med, Clin Microbiol Lab, Sotiria Gen Hosp, GR-11527 Athens, Greece
关键词
D O I
10.1001/archinte.163.10.1206
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: To formulate a classification tool for early recognition of patients admitted with acute pyelonephritis (AP) who are at high risk for failure of treatment or for death. Methods: A retrospective chart review of 225 patients (102 men) admitted with AP. We considered 13 potential risk factors in a multivariate analysis. Results: Recent hospitalization, previous use of antibiotics, and immunosuppression were found to be independent correlates of the prevalence of resistant pathogens in both sexes. Additional predictors included nephrolithiasis in women and a history of recurrent AP in men. Prolonged hospitalization should be expected for a man with diabetes and long-term catheterization who is older than 65 years or for a woman of any age with the same characteristics, when the initial treatment was changed according to the results of urine culture. For mortality prediction, we derived an integer-based scoring system with 6 points for shock, 4 for bedridden status, 4 for age greater than 65 years, and 3 for previous antibiotic treatment for men and 6 points for shock, 4 for bedridden status, 4 for age greater than 65 years, and 3 for immunosuppression for women. Among patients with at least 11 points, the risk for in-hospital death was 100% for men and 91% for women. Conclusions: Simple variables available at presentation can be used for risk stratification of patients with AP. The additional identification of certain risk factors by means of a carefully obtained history could contribute to early recognition of patients infected by resistant bacteria and optimize the selection of antimicrobial agents.
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页码:1206 / 1212
页数:7
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