Developing a Preliminary Clinical Prediction Model for Prognosis of Pneumonia Complicated with Heart Failure Based on Metagenomic Sequencing

Table 2

Regression analysis of the influence of pathogen type on the clinical treatment effect.

Pathogens	Univariate analysis			Multivariate analysis
	−2 log likelihood	χ^2	value	−2 log likelihood	χ^2	value
Candida	13.744	1.568	0.457	43.137	0.998	0.607
Enterococcus	19.211	9.48	0.009	44.420	2.281	0.32
Corynebacterium striatum	12.434	0.819	0.664	44.229	2.09	0.352
Staphylococcus	12.326	0.803	0.669	43.864	1.724	0.422
Pseudomonas aeruginosa	11.078	0.997	0.607	42.635	0.496	0.78
Pneumonia kreiber	12.562	1.179	0.555	45.204	3.065	0.216
Microbial species	40.308	18.181	0.444	56.028	13.889	0.736
Virus	12.41	0.345	0.841	42.813	0.674	0.714

Note. Multiple logistic regression analysis,  < 0.05.