Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database
المؤلفون المشاركون
Wang, Benji
Gong, Yuqiang
Ying, Binyu
Cheng, Bihuan
Li, Diwen
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-21
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
No epidemiological study has investigated the effect of anion gap (AG) on the prognosis of critically ill patients with acute kidney injury (AKI).
Therefore, we aimed to determine the association between serum AG and all-cause mortality in these patients.
Methods.
From MIMIC III, we extracted demographics, vital signs, laboratory tests, comorbidities, and scoring systems from the first 24 h after patient ICU admission.
A generalized additive model was used to identify a nonlinear association between anion gap and 30-day all-cause mortality.
We also used the Cox proportional hazards models to measure the association between AG levels and 30-day, 90-day, and 365-day mortality in patients with AKI.
Results.
A total of 11,573 eligible subjects were extracted from the MIMIC-III.
The relationship between AG levels and 30-day all-cause mortality in patients with AKI was nonlinear, with a U-shaped curve.
In multivariate analysis, after adjusting for potential confounders, higher AG was a significant predictor of 30-day, 90-day, and 365-day all-cause mortality compared with lower AG (HR, 95% CI: 1.54, 1.33–1.75; 1.55, 1.38–1.73; 1.46, 1.31–1.60).
Conclusions.
The relationship between AG levels and 30-day all-cause mortality described a U-shaped curve.
High-AG levels were associated with increased risk 30-day, 90-day, and 365-day all-cause mortality in critically ill patients with AKI.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cheng, Bihuan& Li, Diwen& Gong, Yuqiang& Ying, Binyu& Wang, Benji. 2020. Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database. Disease Markers،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153948
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cheng, Bihuan…[et al.]. Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database. Disease Markers No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1153948
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cheng, Bihuan& Li, Diwen& Gong, Yuqiang& Ying, Binyu& Wang, Benji. Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153948
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1153948
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر