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Table 1 Data on the administered antibiotics and their relationship with the PM2.5 resistome in the inpatient building

From: Inhalable antibiotic resistomes emitted from hospitals: metagenomic insights into bacterial hosts, clinical relevance, and environmental risks

Antibiotic consumption

Agy

β-lactams

FQs

Gypt

MLs

TCs

Aminoglycosides

Broad-spectrum

Carbapenems

Cephalosporins

Fluoroquinolones

Glycopeptides

Macrolides

Tetracyclines

#DDDs

(monthly basis)

Summer

1740±280

4830±583

1680±73.3

13200±1310

15500±1330

365±55.8

8900±1100

2620±1100

19700±746

Winter

1470±173

4350±176

1630±132

12600±748

17400±713

345±50.2

7910±1100

3050±541

18600±549

#DDDs/patient

(monthly basis)

Summer

49.4±5.5

7.61±2.52

5.88±0.19

6.94±1.10

19.1±1.32

3.71±0.60

19.7±1.27

112±1.86

6.92±1.95

Winter

50.7±3.5

8.10±0.21

5.87±0.73

7.48±0.44

19.10±0.38

3.49±0.45

23.3±3.01

136±28.3

7.42±0.29

Correlations with corresponding ARGs

PDDDs = 0.35

PIntensity = 0.50

PDDDs = 0.65

*PIntensity = 0.02 (RIntensity = − 0.90)

PDDDs = 0.13

PIntensity = 0.80

PDDDs = 0.42

PIntensity = 0.51

PDDDs = 0.71

PIntensity = 0.56

PDDDs = 0.41

PIntensity = 0.29

PDDDs = 0.91

PIntensity= 0.71

PDDDs = 0.56

PIntensity = 0.42

PDDDs = 0.56; PIntensity=0.49

Correlations with corresponding PARB

PDDDs = 0.11

PIntensity = 0.51

PDDDs = 0.65

*PIntensity = 0.0043 (RIntensity = − 0.95)

PDDDs = 0.25

PIntensity = 0.79

PDDDs = 0.41

PIntensity = 0.47

*PDDDs = 0.04

(RDDDs = − 0.83)

PIntensity = 0.08

PDDDs = 0.10

*PIntensity = 0.05

(RIntensity = 0.79)

PDDDs = 0.32

PIntensity = 0.39

PDDDs = 0.31

*PIntensity = 0.05

(RIntensity = 0.81)

PDDDs = 0.48; PIntensity = 0.07

  1. # Defined daily dose values (DDDs) representing consumption and antibiotic drugs were calculated according to the WHO guidelines; the intensity of the antibiotic treatments is shown by DDDs normalized to the number of patients to whom they were administered. Considering the limited size of the data (each season = 3), correlations were analyzed by covering the whole period of study, and significant ones were denominated with an asterisk and correlation coefficient values
  2. † Data were retrieved from short-read mapping results, to represent the abundances of ARGs in hospital air PM2.5
  3. ‡ Data were retrieved from bacterial genome-binning results, to represent the contents of different types of potential antibiotic-resistant bacteria (PARB) in hospital air PM2.5