RESUMEN
BACKGROUND: Acinetobacter baumannii (AB) poses a significant threat to critically ill patients in intensive care units (ICUs). Although an association between antibiotic exposure and resistant AB is reported in the literature, a synthesis of evidence in ICU patients is still lacking. AIM: To summarize the evidence on the association between prior antibiotic exposure and the occurrence of resistant AB in ICU patients. METHODS: Online databases were searched for cohort and case-control studies providing data on the association of interest. Carbapenem/multidrug-resistant AB isolation was compared with non-isolation; carbapenem/multidrug-resistant AB was compared with carbapenem/antibiotic-susceptible AB; and extensively drug-resistant AB isolation was compared with non-isolation. Each comparison was subjected to a restricted maximum likelihood random-effects meta-analysis per antibiotic class, estimating pooled ORs. Stratified meta-analyses were performed by study design, outcome type and association-measure adjustment. FINDINGS: Overall, 25 high-quality studies were retrieved. Meta-analyses showed that carbapenem/multidrug-resistant AB isolation was associated with previous exposure to aminoglycosides, carbapenems, third-generation cephalosporines, glycylcyclines, and nitroimidazoles. Increased risk of isolation of carbapenem/multidrug-resistant AB isolation vs carbapenem/antibiotic-susceptible AB was shown for prior exposure to aminoglycosides, antipseudomonal penicillins, carbapenems, fluoroquinolones, glycopeptides, and penicillins. Third-generation cephalosporin exposure increased the risk of extensively drug-resistant AB isolation vs non-isolation. CONCLUSION: This systematic review clarifies the role of antibiotic use in antibiotic-resistant AB spread in ICUs, although for some antibiotic classes the evidence is still uncertain due to the small number of adjusted analyses, methodological and reporting issues, and limited number of studies. Future studies need to be carried out with standardized methods and appropriate reporting of multivariable models.
Asunto(s)
Infecciones por Acinetobacter , Acinetobacter baumannii , Humanos , Antibacterianos/farmacología , Antibacterianos/uso terapéutico , Infecciones por Acinetobacter/epidemiología , Infecciones por Acinetobacter/tratamiento farmacológico , Carbapenémicos/farmacología , Aminoglicósidos/farmacología , Unidades de Cuidados Intensivos , Penicilinas , Farmacorresistencia Bacteriana Múltiple , Pruebas de Sensibilidad MicrobianaAsunto(s)
Anafilaxia/inducido químicamente , Medios de Contraste/efectos adversos , Melanoma/diagnóstico por imagen , Recurrencia Local de Neoplasia/diagnóstico por imagen , Fosfolípidos/efectos adversos , Fosfolípidos/inmunología , Neoplasias Cutáneas/diagnóstico por imagen , Hexafluoruro de Azufre/efectos adversos , Hexafluoruro de Azufre/inmunología , Ultrasonografía , Anafilaxia/inmunología , Anafilaxia/terapia , Causalidad , Contraindicaciones , Medios de Contraste/administración & dosificación , Femenino , Humanos , Infusiones Intravenosas , Melanoma/cirugía , Persona de Mediana Edad , Neoplasias Cutáneas/cirugíaRESUMEN
PURPOSE: Contrast-enhanced ultrasound (CEUS) is the application of ultrasound contrast agents (UCAs) to traditional medical sonography. The development of UCAs allowed to overcome some of the limitations of conventional B-mode and Doppler ultrasound techniques and enabled the display of the parenchymal microvasculature. Purpose of this paper is to delineate the elements of a solid and science-based technique in the execution of urinary bladder CEUS. METHODS: We describe the technical execution of urinary bladder CEUS and the use of perfusion softwares to perform contrast enhancement quantitative analysis with generation of time-intensity curves from regions of interest. RESULTS: During CEUS, normal bladder wall shows a wash-in time of 13 s, a time to peak (TTP) >40 s, a signal intensity (SI) <45 % and a wash-out time >80 s; Low-grade urothelial cell carcinoma (UCC) shows a wash-in time of 13 s, a time to peak TTP >28 s, a SI <45 % and a wash-out time of 40 s; High-grade UCC shows a wash-in time of 13 s, a TTP >28 s, a SI >50 % and a wash-out time of 58 s. CONCLUSIONS: CEUS is a useful tool for an accurate characterization of bladder UCC although it has some drawbacks. To avoid misunderstandings, a widely accepted classification and a standardized terminology about the most significant parameters of this application should be adopted in the immediate future.