A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy

Campos, Manuel; Jiménez, Fernando; Sánchez, Gracia; Canovas-Segura, Bernardo; Palácios, Francisco

doi:10.1016/j.artmed.2019.101751

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…Among them, those used within the United States of America's Medicare plan, such as the LDS system [37], may be highlighted. Other applications similar to that one can be derived from scientific articles such as the proposed by M. Campos et al [38] in which a methodology is defined to help in the selection of antibiotics therapies, or the one proposed by Yanpeng Qu et al [39] in which a methodology is established to help in the evaluation of breast cancer risk.…”

Section: Expert Systems In Health Applicationsmentioning

confidence: 99%

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

Comesaña-Campos

Casal-Guisande

Cerqueiro-Pequeño

et al. 2020

IJERPH

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Respiratory diseases are currently considered to be amongst the most frequent causes of death and disability worldwide, and even more so during the year 2020 because of the COVID-19 global pandemic. Aiming to reduce the impact of these diseases, in this work a methodology is developed that allows the early detection and prevention of potential hypoxemic clinical cases in patients vulnerable to respiratory diseases. Starting from the methodology proposed by the authors in a previous work and grounded in the definition of a set of expert systems, the methodology can generate alerts about the patient’s hypoxemic status by means of the interpretation and combination of data coming both from physical measurements and from the considerations of health professionals. A concurrent set of Mamdani-type fuzzy-logic inference systems allows the collecting and processing of information, thus determining a final alert associated with the measurement of the global hypoxemic risk. This new methodology has been tested experimentally, producing positive results so far from the viewpoint of time reduction in the detection of a blood oxygen saturation deficit condition, thus implicitly improving the consequent treatment options and reducing the potential adverse effects on the patient’s health.

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Section: Expert Systems In Health Applicationsmentioning

confidence: 99%

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

Comesaña-Campos

Casal-Guisande

Cerqueiro-Pequeño

et al. 2020

IJERPH

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“…The strategy of use of combined therapy with antibacterial preparations is being increasingly introduced into clinical practice to treat bacterial infections caused by poly-resistant strains of microorganisms (Garimella et al, 2020). A necessary condition for combining antibacterial preparations is the rationality of their combination (Campos et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Efficiency of combined action of antimicrobial preparations against poly-resistant strains of conditionally-pathogenic bacteria isolated from wounds of surgery patients

Sklyar

Lavrentievа

Rudas

et al. 2020

Regul. Mech. Biosyst.

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The strategy of use of combination therapy of antibacterial preparations is being broadly introduced to clinical practice to fight bacterial infections caused by poly-resistant strains of microorganisms. From the wounds of surgery patients, we isolated 67 clinical strains of conditionally-pathogenic bacteria identified as Staphylococcus aureus, S. epidermidis, Escherichia coli, Klebsiella pneumoniaе, Proteus vulgaris, Proteus mirabilis, Pseudomonas aeruginosa. Using disk diffusion method, the isolated bacterial strains were found to be most resistant to penicillin preparations: ampicillin, oxacillin, amoxicillin/clavulanat; tetracycline and cephalosporin of the II generation – cefoxitin. The percentage of strains insusceptible to these antibacterial preparations accounted for 65.0%. The division of antibiotic-resistant cultures regarding phenotype groups according to the level of their antibiotic resistance allowed determination of 4 PDR-, 8 XDR- and 14 MDR-strains. During the studies on experimental determining of MIC of antibiotic and antiseptics in the condition of applying them as monopreparations against isolated bacterial cultures, we saw significant exceess in the threshold values of MIC, and, first of all, regarding pandrug-resistant and extensive drug-resistant clinical microbial isolates. Use of combinations of antibacterial preparations was found to show the synergic effect of antibiotics (ceftriaxone, ofloxacin, gentamicin) and antiseptics (chlorhexidine, decasan), which is expressed in simultaneous decrease in MIC of each of the tested preparations by 2–8 times compared with their isolative application. Such combinatory approach regarding simultaneous application of antibacterial preparations may be considered as one of the most promising ways to combat poly-resistant clinical isolates of conditionally-pathogenic microorganisms and to offer a new strategic approach to prevention of spread of antibiotic resistance as a phenomenon in medical practice.

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“… MCDM studies for prioritisation in other fields: MCDM is commonly adopted in numerous fields for diverse applications. It discoveries and ranks appropriate solutions to choice the appropriate alternative [ 35 , 36 ]. The research in [ 37 ] tried to highlight the difficulty of choosing the appropriate mHealth application and formed a model to compare and evaluate the performances of various mHealth applications depending on AHP and fuzzy TOPSIS.…”

Section: Literature Reviewmentioning

confidence: 99%

Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods

Albahri

Hamid

Albahri

et al. 2021

Artificial Intelligence in Medicine

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Highlights Develop a new framework that can handle the prioritisation of patients with COVID-19 and can detect the health conditions of asymptomatic carriers. The most important laboratory criteria were selected and implemented based on two feature selection approaches (i.e. data-driven and knowledge-driven). A new decision matrix was developed based on a crossover of (i) multi-laboratory characteristics criteria and (ii) lists of infected patients for patient prioritisation using integration Entropy-TOPSIS methods. Advantages of new framework in detecting/recognising the health condition of patients prior to discharge, supporting the hospitalisation characteristics, managing patient care and optimising clinical prediction rule.

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A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy

Cited by 5 publications

References 20 publications

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

Efficiency of combined action of antimicrobial preparations against poly-resistant strains of conditionally-pathogenic bacteria isolated from wounds of surgery patients

Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods

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