Respiratory Care of Big Data Communication to Prevent Respiratory Tract Infection Nursing Analysis of Patients with Heart Failure.

Heart failure is the final stage of the development of heart disease, with a high mortality and disability rate. It poses a serious threat to human health and brings tremendous pressure to human society. Preventing respiratory infections in patients with heart failure is also the first priority of c...

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Publicado en:BioMed Research International pp. 1 - 11
Autores principales: Lin, Tiantian, Lin, Qiaoyan, Feng, Yuying, Dong, Lingchu
Formato: equations & formulas tables/charts Journal Article
Publicado: Wiley-Blackwell 9/1/2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 9/1/2022
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2022/4310841
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        atl: Respiratory Care of Big Data Communication to Prevent Respiratory Tract Infection Nursing Analysis of Patients with Heart Failure.
      aug:
        au:
          Lin, Tiantian
          Lin, Qiaoyan
          Feng, Yuying
          Dong, Lingchu
        affil: Respiratory Intensive Care Unit, Yantai Yuhuangding Hospital, Yantai, 264000 Shandong, China
      sug:
        subj:
          Respiratory Care Practice
          Respiratory Tract Infections Prevention and Control
          Respiratory Therapy
          Nursing Interventions
          Heart Failure
          Heart Diseases
          Mortality
          Drug Resistance
          Pseudomonas Infections Drug Therapy
          Data Analytics
          Antibiotics
          Treatment Outcomes
          Disability Evaluation
          Benchmarking
      ab: Heart failure is the final stage of the development of heart disease, with a high mortality and disability rate. It poses a serious threat to human health and brings tremendous pressure to human society. Preventing respiratory infections in patients with heart failure is also the first priority of care. This article is aimed at studying the nursing analysis of respiratory tract care based on big data exchanges to prevent respiratory tract infections in patients with heart failure. This article uses benchmark and sample collection. Studies have shown that for Pseudomonas aeruginosa, its resistance to ampicillin, amoxicillin/clavulanic acid, cefazolin, cefuroxime, ceftriaxone, cefotaxime, and cefoxitin has reached more than 80%. It is also suitable for piperacillin, ticarcillin/clavulanic acid, piperacillin/tazobactam, cefepime, aztreonam, gentamicin, tobramycin, ciprofloxacin, and levofloxacin. The resistance rate of stars is within 10%-30%. These antibiotics are effective and can be used for clinical treatment. The drug resistance rates of ceftazidime, imipenem, meropenem, and amikacin were all lower than 10%, and the drug resistance rates of ceftazidime and imipenem were much lower than those reported in the 2016 literature. These antibiotics have become the most effective drugs for the treatment of Pseudomonas aeruginosa infections. Basically, good communication of respiratory care data is realized, thereby preventing respiratory care analysis of patients with heart failure.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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