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

Related articles Order reprints Share article Share by email

View HTML version

Table 1 Values of selected quantitative parameters in context of different cardiac arrest mechanisms.

Variable	Asystole/PEA		VF/pVT		p
Variable	n	[1st Q, Me, 3rd Q]	n	[1st Q, Me, 3rd Q]	p
Age [years]	90	[59.50, 69.00, 77.00]	70	[52.00, 62.00, 73.00]
Albumin [g/dl]	78	[2.42, 2.90, 3.30]	58	[2.62, 3.05, 3.70]
BMI [kg/m]	71	[22.67, 25.95, 30.00]	58	[24.34, 26.30, 30.50]	0.197
K [mmol/l]	90	[3.79, 4.30, 5.08]	68	[3.77, 4.50, 5.02]	0.815
LYM [%]	45	[5.10, 9.20, 16.10]	28	[5.98, 10.60, 16.75]	0.687
Na [mmol/l]	90	[134.00, 138.50, 142.00]	68	[136.00, 138.00, 140.25]	0.894
NRS2002	90	[3.00; 3.00; 4.00]	71	[3.00; 3.00; 4.00]	0.371
PCT [ng/ml]	89	[0.13, 0.99, 4.63]	68	[0.13, 0.30, 1.53]	0.021
TChol [mg/dl]	58	[106.25, 129.50, 168.75]	47	[126.00, 154.00, 174.00]	0.102
TG [mg/dl]	52	[82.75, 122.00, 188.25]	47	[101.50, 155.00, 210.00]	0.160
TSH [uIU/ml]	57	[0.66, 1.66, 3.39]	42	[1.16, 1.82, 2.98]	0.871
hsCRP [mg/l]	89	[5.12, 26.06, 88.97]	68	[1.70, 6.54, 24.44]
Values are given as [1 quartile; median value; 3 quartile]. Statistically-significant (p

Back to the Article