Table 2.

Results of the segmented regression analysis of number of A. baumannii and K. pneumoniae and the resistance rates of CRAB and CRKP.

Outcomes	Coefficient	Standard Error	t (z)	p-Value
Number of Acinetobacter baumannii detected (DW = 1.357)
Baseline level (β0)	3.5561	0.0532	66.822	<0.001
Baseline trend (β1)	−0.0103	0.0021	−4.891	<0.001
Level change after COVID-19 (β2)	−0.4436	0.1894	−2.343	<0.05
Trend change after COVID-19 (β3)	0.009	0.0033	2.796	<0.01
Resistance rate of CRAB (DW = 1.949)
Baseline level (β0)	0.7712	0.0443	17.404	<0.001
Baseline trend (β1)	−0.0008	0.0015	−0.527	0.600
Level change after COVID-19 (β2)	0.3873	0.1685	2.299	<0.05
Trend change after COVID-19 (β3)	−0.0060	0.0027	−2.234	<0.05
Number of Klebsiella pneumoniae detected (DW = 1.826)
Baseline level (β0)	3.4125	0.0552	61.831	<0.001
Baseline trend (β1)	−0.0041	0.0021	−2.006	<0.05
Level change after COVID-19 (β2)	−1.4185	0.1786	−7.944	<0.001
Trend change after COVID-19 (β3)	0.0226	0.0031	7.318	<0.001
Resistance rate of CRKP (DW = 1.993)
Baseline level (β0)	0.1031	0.0432	2.383	<0.05
Baseline trend (β1)	0.0029	0.0014	2.060	<0.05
Level change after COVID-19 (β2)	0.0115	0.1630	0.071	0.944
Trend change after COVID-19 (β3)	−0.0017	0.0026	−0.657	0.513

Note. DW, Durbin–Watson coefficient. ${\beta }_2$ and ${\beta }_3$ represent the change in the level and trend of the outcome indicators (compared with ${\beta }_0$ and ${\beta }_1$) since the start of COVID-19. p value of pathogenic bacteria was calculated by Z test. p value of isolates resistance was calculated by t-test. p < 0.05 is considered statistically significant. Bold text represents significant results after the COVID-19 outbreak.