Development of an iron status biomarker-based sepsis prognostic model using MIMIC-IV data

doi:10.5847/wjem.j.1920-8642.2024.087

World Journal of Emergency Medicine ›› 2024, Vol. 15 ›› Issue (6): 494-498.doi: 10.5847/wjem.j.1920-8642.2024.087

• Research Letters • Previous Articles Next Articles

Development of an iron status biomarker-based sepsis prognostic model using MIMIC-IV data

Wanjie Zha¹, Qitian Ou¹^,², Yanmei Zhang¹, Qiwen Huang¹, Junde Li¹, Miaoyun Wen¹^,²()

¹The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510080, China
²Department of Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China

Received:2024-04-02 Accepted:2024-07-22 Online:2024-11-21 Published:2024-11-01
Contact: Miaoyun Wen, Email: wenmiaoyun041105@163.com

Abstract

Wanjie Zha, Qitian Ou, Yanmei Zhang, Qiwen Huang, Junde Li, Miaoyun Wen. Development of an iron status biomarker-based sepsis prognostic model using MIMIC-IV data[J]. World Journal of Emergency Medicine, 2024, 15(6): 494-498.

Figures/Tables 2

Table 1.

Figure 1.

References 24

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Variables	Univariate		Multivariate
	Hazard ratio (95% CI)	P-value	Hazard ratio (95% CI)	P-value
APS III	1.025 (1.020-1.030)	<0.001	1.038 (1.025-1.051)	<0.001
Age	1.013 (1.002-1.024)	0.016	1.027 (1.011-1.042)	0.001
Iron	1.007 (1.003-1.010)	<0.001	1.007 (1.002-1.011)	0.002
Transferrin	0.997 (0.994-1.000)	0.041	0.995 (0.992-0.999)	0.006
Chloride	0.965 (0.944-0.986)	0.001	0.931 (0.862-1.006)	0.069
SBP	0.977 (0.972-0.983)	<0.001	0.982 (0.962-1.002)	0.074
Respiratory rate	1.062 (1.036-1.088)	<0.001	1.024 (0.993-1.055)	0.128
Charlson comorbidity index	1.067 (1.017-1.120)	0.008	1.044 (0.976-1.116)	0.207
SOFA	1.159 (1.116-1.203)	<0.001	1.039 (0.976-1.106)	0.227
BUN	1.010 (1.006-1.014)	<0.001	1.003 (0.997-1.009)	0.348
Potassium	1.501 (1.258-1.790)	<0.001	0.941 (0.791-1.120)	0.494
Sodium	0.962 (0.935-0.990)	0.008	1.026 (0.948-1.111)	0.520
Bicarbonate	0.906 (0.881-0.932)	<0.001	0.978 (0.901-1.062)	0.596
Anion gap	1.110 (1.087-1.135)	<0.001	1.017 (0.938-1.103)	0.681
Ferritin	1.000 (1.000-1.000)	0.029	1.000 (1.000-1.000)	0.744

Development of an iron status biomarker-based sepsis prognostic model using MIMIC-IV data

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