Controlling nutritional status score during hospitalization as a predictor of clinical outcome in patients with aneurysmal subarachnoid hemorrhage

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作者
Shinya Shimizu
Tatsunori Hanai
Yusuke Egashira
Yukina Sato
Kumiko Sekiya
Shohei Nishida
Masashi Ishihara
Takuma Ishihara
Ryuta Asada
Ryo Kobayashi
Akio Suzuki
机构
[1] Gifu University Hospital,Department of Pharmacy
[2] Gifu University Hospital,First Department of Internal Medicine
[3] Gifu University Graduate School of Medicine,Department of Neurosurgery
[4] Gifu University Hospital,Innovative and Clinical Research Promotion Center
[5] Gifu Pharmaceutical University,Laboratory of Advanced Medical Pharmacy
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Scientific Reports | / 13卷
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摘要
Aneurysmal subarachnoid hemorrhage (aSAH) is a serious condition with high mortality and a high permanent disability rate. In this study, we examined the association of clinical outcome with the Controlling Nutritional Status (CONUT) score during hospitalization in aSAH patients. A single-center, retrospective observational study was conducted at Gifu University Hospital. Patients transported to the emergency room for aSAH and diagnosed with World Federation of Neurosurgical Societies (WFNS) grade III and IV aSAH between April 2004 and March 2021 were enrolled. A logistic regression model was constructed to evaluate the association of the CONUT score with a modified Rankin scale (mRS) ≥ 3 and delayed cerebral ischemia (DCI). 127 patients diagnosed with WFNS grade III and IV aSAH were analyzed. CONUT score was significantly associated with mRS ≥ 3 during hospitalization. The score obtained by subtracting the CONUT score at admission from the maximum CONUT score was significantly associated with mRS ≥ 3 at discharge. Moreover, the score obtained by subtracting the CONUT score at admission from the maximum CONUT score during the first 14 days was significantly associated with DCI within 14 days from admission. These findings indicate that CONUT score during hospitalization may be a useful daily marker for predicting poor outcomes in aSAH patients.
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