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. Author manuscript; available in PMC: 2024 Aug 1.
Published in final edited form as: Res Nurs Health. 2023 May 23;46(4):411–424. doi: 10.1002/nur.22322

Table 3.

The association of each individual comorbidity with in-hospital mortality a

Logistic regression model Elastic net model b
Odds Ratio 95% CI P-value Odds Ratio
Congestive heart failure 1.743 1.691 1.796 <.0001 1.55
Peripheral vascular disease 1.098 1.062 1.136 <.0001 1.01
Chronic pulmonary disease 1.131 1.104 1.158 <.0001 1.03
Diabetes without chronic conditions 0.961 0.935 0.988 0.005 NA
Diabetes with chronic conditions 1.023 0.993 1.055 0.135 NA
Metastatic solid tumor 2.110 2.013 2.211 <.0001 2.05
Cardiac arrhythmia 1.797 1.755 1.84 <.0001 1.70
Valvular disease 0.898 0.866 0.932 <.0001 NA
Pulmonary circulation disorders 1.294 1.247 1.342 <.0001 1.19
Hypertension uncomplicated 0.689 0.667 0.712 <.0001 0.78
Hypertension complicated 0.765 0.739 0.793 <.0001 NA
Paralysis 1.598 1.513 1.687 <.0001 1.37
Other neurological disorders 2.17 2.117 2.223 <.0001 2.03
Hypothyroidism 0.853 0.829 0.878 <.0001 0.93
Renal failure 1.186 1.15 1.224 <.0001 1.05
Liver disease 1.944 1.873 2.018 <.0001 1.72
Peptic ulcer disease excluding bleeding 0.72 0.635 0.816 <.0001 NA
Lymphoma 1.542 1.443 1.648 <.0001 1.31
Solid Tumor without metastasis 1.454 1.396 1.515 <.0001 1.38
Rheumatoid arthritis/ collagen vascular diseases 0.921 0.871 0.973 0.0035 NA
Coagulopathy 1.779 1.725 1.835 <.0001 1.72
Obesity 0.708 0.682 0.735 <.0001 0.80
Weight loss 2.174 2.118 2.232 <.0001 2.14
Fluid and electrolyte disorders 2.599 2.537 2.663 <.0001 2.44
Deficiency anemia 0.686 0.65 0.724 <.0001 0.82
Alcohol abuse 0.697 0.656 0.741 <.0001 0.88
Drug abuse 0.525 0.484 0.57 <.0001 0.72
Psychoses 0.606 0.559 0.658 <.0001 0.82
Depression 0.655 0.632 0.678 <.0001 0.73
a

Models developed from the n=1,267,467 patient admissions training dataset.

b

traditional p-values are not directly available in elastic net model; CI=Confidence Interval; NA=Not available when elastic net model did not select the comorbidity as a substantial factor for predicting in-hospital mortality.