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The American journal of emergency medicine · 2013

Serum procalcitonin level for the prediction of severity in women with acute pyelonephritis in the ED: value of procalcitonin in acute pyelonephritis.

Клиническое исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Park Jeong Ho, Wee Jung Hee, Choi Seung Pill, Park Kyu Nam

Аннотация

PURPOSE: Predicting medical outcomes for acute pyelonephritis (APN) in women is difficult. Delay in diagnosis and treatment often results in rapid progression to circulatory collapse, multiple-organ failure, and death. The aim of this study was to investigate the value of procalcitonin (PCT) level in women with APN at ED.

METHODS: We conducted a prospective study of women with APN presenting to the ED. The authors measured inflammatory biomarkers, and the severity of pyelonephritis was assessed by 4 severity of disease classification system and stage of sepsis. We performed an analysis to assess the value of PCT for the prediction of 28-day mortality and disease severity.

RESULTS: A total of 240 female patients with APN are included. Patients were divided into 4 groups on the basis of systemic inflammatory response syndrome criteria, organ dysfunction, and persistent hypotension. The median PCT level was higher in the septic shock group compared with other groups. Of the other inflammatory markers, only white blood cell count was significantly different among the groups, whereas high-sensitivity C-reactive protein level and erythrocyte sedimentation rate revealed no differences. The area under the curve for PCT in predicting 28-day mortality was 0.68. For predicting mortality, a cutoff value of 0.42 ng/mL had a sensitivity of 80% and a specificity of 50%. However, the disease classification systems were demonstrated to be superior to PCT in predicting 28-day mortality.

CONCLUSIONS: Relative to other classic markers of inflammation, by distinguishing the severity of sepsis related to APN, PCT levels can provide additional aid to clinicians in disease severity classification and their decision of treatment at ED.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты