10 August 2024 : Database Analysis
Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive 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
Table 2 Values of selected qualitative parameters in context of different cardiac arrest mechanisms.
| Variable | Category | Asystole/PEA | VF/pVT | χ2 | p |
|---|---|---|---|---|---|
| Sex | Female | 39 [0.74] | 14 [0.26] | 10.023 | |
| Male | 51 [0.47] | 57 [0.53] | |||
| Obesity | Obese | 20 [0.54] | 17 [0.46] | 0.066 | 0.797 |
| Cardiac arrest location | OHCA | 32 [0.43] | 43 [0.57] | 9.975 | |
| IHCA | 58 [0.67] | 28 [0.33] | 9.975 | ||
| ACS | Yes | 15 [0.56] | 12 [0.44] | 0.002 | 0.968 |
| CS | Yes | 8 [0.57] | 6 [0.43] | 0.010 | 0.922 |
| CKD | Yes | 8 [0.5] | 8 [0.5] | 0.251 | 0.616 |
| HF | Yes | 11 [0.52] | 10 [0.48] | 0.121 | 0.728 |
| DM | Yes | 21 [0.54] | 18 [0.46] | 0.088 | 0.767 |
| HT | Yes | 30 [0.51] | 29 [0.49] | 0.965 | 0.326 |
| Values are given as: count [frequency in categories (rows)]. The ‘All’ margins indicate sums of counts. Expected counts are given in columns labeled with the ‘expected n’ term. Statistically-significant (p | |||||