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. 2022 Aug 8:2022:2208636.
doi: 10.1155/2022/2208636. eCollection 2022.

Common Pathogens and Drug Resistance of Neonatal Pneumonia with New Multichannel Sensor

Xueping Dong  1 , Peipei Zhou  1 , Guannan Zhu  1
Affiliations

Common Pathogens and Drug Resistance of Neonatal Pneumonia with New Multichannel Sensor

Xueping Dong et al. Contrast Media Mol Imaging. .

Retraction in

Abstract

This study aimed to study the application value of a new multichannel sensor in pathogen detection and drug resistance analysis of neonatal pneumonia. 180 newborns with infectious pneumonia were selected, and a new multichannel piezoelectric sensor was constructed. The traditional Kirby-Bauer (K-B) method and the piezoelectric sensor were adopted to detect the pathogens and drug resistance in newborn samples, respectively. The results showed that the sensitivity and specificity under the K-B method (99.58% and 99.32%) and the multichannel piezoelectric sensor (99.43% and 94.29%) were not statistically different (P > 0.05). The detection time (17.25 h) of the K-B method was significantly longer than that (7.43 h) of the multichannel piezoelectric sensor (P < 0.05). From the results of pathogen detection, it was found that Klebsiella pneumoniae accounted for a relatively high proportion of 25.1%, followed by Staphylococcus aureus and Haemophilus influenzae of 13.4% and 12.33%, respectively. The resistance rate of the Staphylococcus aureus to vancomycin and rifampicin was as high as 100% and that to gentamicin, ciprofloxacin, and erythromycin reached more than 50%. In short, the new multichannel piezoelectric sensor had the high sensitivity and specificity for the pathogens' detection of neonatal pneumonia, and it required a shorter time. The pathogens were mostly Gram-negative bacteria, followed by Gram-positive bacteria and fungi. Klebsiella pneumoniae, Staphylococcus aureus, and Haemophilus influenzae were the main ones. The neonatal pneumonia pathogens had also strong drug resistance against vancomycin, rifampicin, chloramphenicol, meropenem, amikacin sulfate, chloramphenicol, and many other antibacterial drugs.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Structure diagram of the multichannel sensor.
Figure 2
Figure 2
Schematic diagram of circuit of the multichannel sensor.
Figure 3
Figure 3
The loop of the multichannel piezoelectric sensor.
Figure 4
Figure 4
Detection effect of the multichannel piezoelectric sensor. ∗Significant difference compared to the K–B method (P < 0.05).
Figure 5
Figure 5
Detection results of pneumonia pathogens. (a) a–c represent Gram-negative bacteria, Gram-positive bacteria, and fungi, respectively. (b) a–h represent Escherichia coli, Acinetobacter baumannii, Enterobacter cloacae, Klebsiella pneumoniae, Haemophilus influenzae, Streptococcus pneumoniae, Staphylococcus aureus, and others, respectively.
Figure 6
Figure 6
Drug resistance of Staphylococcus aureus. a–h represent ampicillin, gentamicin, vancomycin, penicillin, rifampicin, ciprofloxacin, tetracycline, and erythromycin, respectively.
Figure 7
Figure 7
Drug resistance analysis of Klebsiella pneumoniae. a–h stood for imipenem, aztreonam, ciprofloxacin, chloramphenicol, meropenem, ceftazidime, amikacin sulfate, and ampicillin, respectively.
Figure 8
Figure 8
Drug resistance analysis of Escherichia coli and Klebsiella pneumoniae. (a) The results of Escherichia coli. (b) The results of Klebsiella pneumoniae. a–g indicate gentamicin, amikacin sulfate, chloramphenicol, cefazolin, aztreonam, levofloxacin, and piperacillin, respectively.
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