Table 4.
Association between Dysnatremia and In-Hospital mortality. Comparison of the different regression models
Association Between Borderline Hyponatremia and Mortality | |||
OR (IC95%) | P | AIC | |
Classical Modela | 1.98 (1.73–2.68) | <.001 | 8098.4 |
PheWAS Modelb | 2.59 (2.28–2.94) | <.001 | 11,002 |
Final Modelc | 1.57 (1.35–1.81) | <.001 | 7585.5 |
Association Between Borderline Hypernatremia and Mortality | |||
OR (IC95%) | P | AIC | |
Classical Modeld | 3.72(1.53–8.45) | <.001 | 6077.9 |
PheWAS Modele | 6.23(4.60–8.33) | <.001 | 8761.9 |
Final Modelf | 3.47(2.43–4.90) | <.001 | 5920.8 |
Confounding Factors Retained in the different models:
aClassical model: age, duration of hospital stay, number of ICD-10 codes, hospital admissions via the emergency department, ICU stay, dialysis, palliative care, Charlson Comorbidity Index
bPheWAS model: A41, I20, I25, I48, I71, J15, J80, J96, K65, R07, R57, Z48, Z51
cFinal model: classical model + I20, I25, I48, J80, R57, Z48, Z51
dClassical model: age, duration of hospital stay, number of ICD-10 codes, hospital admissions via the emergency department, ICU stay, dialysis, palliative care, Charlson Comorbidity Index
ePheWAS model: J69, J80, J96, N17, R57, S06
fFinal model: classical model + J69, J80, R57, S06