Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis

10 August 2024 : Database Analysis

Łukasz Lewandowski

^1ABCDEF, Michał Czapla

^234ABDEF*, Izabella Uchmanowicz

^5DEG, Grzegorz Kubielas

^6E, Stanisław Zieliński

^7E, Małgorzata Krzystek-Korpacka

^1E, Catherine Ross

^8E, Raúl Juárez-Vela

^3E, Marzena Zielińska

^7BDE

DOI: 10.12659/MSM.944408

Med Sci Monit 2024; 30:e944408

Introduction Material and Methods Results Discussion References

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Supplementary Table 1 Conditional odds ratios associated with all analyzed multivariate logistic regression models.

Model	Conditions	Analyzed var.	Analyzed cat.	Reference cat.	p	OR	OR −95% CI	OR 95% CI
2	Asystole/PEA	Sex	Male	Female			1.64	16.61
2	VF/pVT	Sex	Male	Female	0.297	0.45	0.10	2.01
2	Female, BMI=27.42	Cardiac arrest mechanism	VF/pVT	Asystole/PEA	0.625	1.48	0.31	7.12
2	Male, BMI=27.42	Cardiac arrest mechanism	VF/pVT	Asystole/PEA			0.04	0.37
3	Asystole/PEA	BMI	–	–			1.02	1.34
3	VF/pVT	BMI	–	–	0.266	0.94	0.84	1.05
3	Asystole/PEA	Albumin	–	–	0.058	1.01	1.00	1.02
3	VF/pVT	Albumin	–	–			0.12	0.89
4	Asystole/PEA	Sex	Male	Female			1.61	20.09
4	VF/pVT	Sex	Male	Female	0.356	0.46	0.09	2.38
4	Asystole/PEA	BMI	–	–			1.01	1.37
4	VF/pVT	BMI	–	–	0.241	0.93	0.83	1.05
4	Asystole/PEA	Albumin	–	–	0.929	1.04	0.41	2.66
4	VF/pVT	Albumin	–	–			0.13	0.95
4	Female, BMI=27.42, albumin=2.97	Cardiac arrest mechanism	VF/pVT	Asystole/PEA	0.620	1.54	0.28	8.40
4	Male, BMI=27.42, albumin=2.97	Cardiac arrest mechanism	VF/pVT	Asystole/PEA			0.04	0.43
This table features conditional odds ratios (ORs) of death between the ‘Analyzed cat.’ and ‘Reference cat.’ categories on condition of assumptions shown in the ‘Conditions’ column. These ORs are associated with multivariate logistic regression models shown in .

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