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Infection and Chemotherapy 2018-Sep

The Predictive Value of Glycated Hemoglobin and Albumin for the Clinical Course Following Hospitalization of Patients with Febrile Urinary Tract Infection.

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Minoru Kobayashi
Toshitaka Uematsu
Gaku Nakamura
Hidetoshi Kokubun
Tomoya Mizuno
Hironori Betsunoh
Takao Kamai

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Resumo

BACKGROUND

Diabetes is considered a risk factor for acquisition of febrile urinary tract infection (f-UTI), but information on the association of diabetes with subsequent course of the disease is lacking. Thus, we investigated the clinical variables including diabetic status which determined the clinical course in patients with community-acquired f-UTI.

METHODS

Patients hospitalized consecutively for f-UTI between February 2016 and January 2018 were used for this single center study. The routine laboratory tests including blood glucose and glycated hemoglobin (HbA1c) were done and empiric treatment with parenteral antibiotics was commenced on admission. The clinical course such as duration of fever (DOF) and length of hospital stay (LOS) were compared among groups classified by the clinical variables.

RESULTS

Among the101 patients admitted for f-UTI, 15 patients with diabetes (14.9%) experienced significantly longer febrile period and hospitalization compared to those with hyperglycemia (n = 18, 17.8%) or those without diabetes and hyperglycemia (n = 68, 67.3%). Of the laboratory parameters tested on admission and several clinical factors, the presence of diabetes and risk factors for severe complicated infection (hydronephrosis, urosepsis, and disseminated intravascular coagulopathy) as well as HbA1c and albumin were identified as predictors for LOS by univariate analysis, whereas none of the variables failed to predict DOF. In the subsequent multivariate analysis, HbA1c levels and albumin levels were isolated as independent predictors of LOS.

CONCLUSIONS

Patients with higher HbA1c and lower albumin levels required the longest period of hospitalization. Thus, an evaluation of diabetic and nutritional status on admission will be feasible to foretell the clinical course and better manage the subset of patients at risk of prolonged hospitalization.

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