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A novel scoring system for the prediction of disease severity in STEC-HUS.

作者信息

Ishibazawa Emi, Nagamori Tsunehisa, Kurisawa Mio June, Sato Masayuki, Yoshida Yoichiro, Takahashi Hironori, Manabe Hiromi, Ishioka Toru, Miura Yurika, Kajino Hiroki, Suzuki Yasuto, Wada Soichiro, Ogiwara Shigetoshi, Tomii Yuji, Aoyagi Hayato, Nagai Kazushige, Naito Hiroyuki, Takahashi Satoru

机构信息

Department of Pediatrics, Asahikawa Medical University, Asahikawa, Hokkaido, Japan.

Department of Pediatrics, Asahikawa-Kosei General Hospital, Asahikawa, Hokkaido, Japan.

出版信息

Pediatr Int. 2024 Jan-Dec;66(1):e15833. doi: 10.1111/ped.15833.

Abstract

BACKGROUND

Shiga toxin-producing Escherichia coli-associated hemolytic uremic syndrome (STEC-HUS) is a life-threatening condition complicated by acute kidney injury, acute respiratory distress syndrome, and central nervous system disorders. The early identification of high-risk patients is required to facilitate timely and appropriate treatment.

METHODS

The medical records of patients with STEC-HUS treated at 11 hospitals in Hokkaido, Japan, were reviewed retrospectively. A multi-institutional retrospective analysis was performed in which patients were divided into two groups according to the presence or absence of severe complications requiring blood purification therapy or encephalopathy. We compared the laboratory values at diagnosis between the severe and mild groups. To identify patients at high risk of developing severe complications, a scoring system, referred to as the "STEC-HUS severity (STEC-HUSS) score," was constructed based on the parameters showing significant differences.

RESULTS

Of the 41 patients with STEC-HUS, 11 were classified into the severe group and 30 into the mild group. Significant differences were observed between the groups in terms of white blood cell count, activated partial thromboplastin time, fibrinogen, D-dimer, total protein, aspartate transaminase, alanine transaminase, lactate dehydrogenase, creatinine, and C-reactive protein levels. The STEC-HUSS score was calculated on a scale of 0-10 by summing the number of test items that demonstrated abnormal values. The STEC-HUSS score, when the cut-off value was 4, showed a sensitivity of 100% and a specificity of 91% in the severe group.

CONCLUSION

We developed a novel scoring system to identify patients at high risk of severe STEC-HUS.

摘要

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