Postoperative drug-resistant bacteria infection in patients with acute Stanford type A aortic dissection under two-fluid numerical simulation model
| Autor: | Yu Zhang, Sahar Issa, Saeed Hameed Al Dulaimi, Jiarui Xu, Yaming Du, Sheng Zang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.drug_class
QC1-999 medicine.medical_treatment Antibiotics General Physics and Astronomy 02 engineering and technology 01 natural sciences law.invention Tracheotomy law 0103 physical sciences medicine Drug-resistance bacteria 010302 applied physics Aortic dissection biology business.industry Physics Incidence (epidemiology) Tracheal intubation Type A aortic dissection 021001 nanoscience & nanotechnology medicine.disease biology.organism_classification Intensive care unit Acinetobacter baumannii Penicillin Anesthesia Two-fluid numerical simulation model Infection 0210 nano-technology business Stanford A medicine.drug |
| Zdroj: | Results in Physics, Vol 26, Iss, Pp 104394-(2021) |
| ISSN: | 2211-3797 |
| DOI: | 10.1016/j.rinp.2021.104394 |
| Popis: | Objective: This study was to investigate the characteristics and related factors of postoperative drug-resistant bacteria infection (DRBI) in patients with acute Stanford A aortic dissection (AD) (AAAD) based on a two-fluid numerical simulation model (TFNS model). Methods: 50 patients with AAAD admitted to our hospital from July 2018 to October 2020 were selected as the research objects. The patients were rolled into an infection group and a non-infection group according to whether DRBI occurred after surgery. There were 21 patients in the infected group and 29 patients in the non-infected group. The clinical data of the patients were collected, including preoperative, intraoperative, and postoperative conditions. A TFNS model was constructed. The construction of vascular physical model could be completed by the construction of fluid area and solid area. The blood flows through the fluid area and the blood vessel wall was located in the solid area. The model was adopted to study the characteristics of DRBI. The data of the patients were analyzed to explore the relationship of the multi-DRBI to intraoperative blood loss, postoperative complications, intensive care unit (ICU) stay time, invasive procedures, and use of antibiotics. In addition, the multi-factor postoperative multi-DRBI was performed with the regression analysis. Results: There was no significant difference between the infected group and the non-infected group in antibiotics used such as cephalosporin, penicillin, glycopeptide, and quinolones (P > 0.05). The time spent on antibiotics was greatly lower in the infected group than in the non-infected group (P |
| Databáze: | OpenAIRE |
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