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1.
PLoS One ; 16(12): e0259915, 2021.
Article in English | MEDLINE | ID: mdl-34919563

ABSTRACT

INTRODUCTION: In the last years the rapid expansion of multidrug-resistant A. baumannii strains have become a major health problem. Efflux pumps are a group of transport proteins that contribute to the development of antibiotic resistance. The aim of this study was to evaluate the effect of the efflux pump inhibitor carbonyl cyanide 3-chlorophenylhydrazone (CCCP) on the antimicrobial action of imipenem and cefepime on clinical strains of A. baumannii. MATERIALS AND METHODS: A total of 49 non-duplicate clinical samples were collected during January through December of 2018 from patients hospitalized in the Hospital Regional Docente de Cajamarca. Of the 49 samples obtained, the confirmatory identification of A. baumannii was performed on 47 samples by molecular methods. The amplification of the blaOXA-51-like gene was carried out by polymerase chain reaction (PCR). The determination of the minimum inhibitory concentration (MIC) was calculated using the microdilution method in culture broth. The susceptibility to both antibiotics (cefepime and imipenem) was evaluated in the presence and absence of the inhibitor carbonyl cyanide 3-chlorophenylhydrazone (CCCP). RESULTS: A total of 47 strains of A. baumannii were isolated: 97.87% (46/47) were resistant to Imipenem, 2.13% (1/47) of them were classified as intermediate and none of these strains were susceptible. On the other hand, 51.06% (24/47) of isolates were resistant to cefepime; 19.15% (9/47) intermediate and 29.79% (14/47) susceptible. We considered a significant difference in antibiotic susceptibility if the MIC changed at least 4 dilutions, after the addition of the inhibitor. In the case of CCCP in addition to imipenem, 2.1% (1/47) had a significant change of 4 or more reductions in MIC, 59.6% (28/47) achieved a change equal or less than 3 dilutions and 17.0% (8/47) did not have any change. In the case of CCCP with cefepime the percentage of strains with the significant change of MIC was 8.5% (4/47). On the other hand, 53.2% (24/47) presented a reduction equal or less than 3 dilutions and 12.8% (6/47) did not show changes. CONCLUSION: In conclusion, our results demonstrate that the use of CCCP may improve the antibiotic effect of imipenem and cefepime on clinical strains of A. baumannii. The relevance of this study is that it provides evidence that this efflux pump inhibitor may be an alternative treatment against multidrug-resistant A. baumannii.


Subject(s)
Acinetobacter baumannii/drug effects , Anti-Bacterial Agents/pharmacology , Carbonyl Cyanide m-Chlorophenyl Hydrazone/pharmacology , Cefepime/pharmacology , Imipenem/pharmacology , Proton Ionophores/pharmacology , Acinetobacter Infections/microbiology , Acinetobacter baumannii/genetics , Acinetobacter baumannii/isolation & purification , Acinetobacter baumannii/metabolism , Drug Combinations , Drug Resistance, Multiple, Bacterial/drug effects , Drug Resistance, Multiple, Bacterial/genetics , Drug Synergism , Gene Expression , Genes, MDR/drug effects , Humans , Microbial Sensitivity Tests , Microbial Viability/drug effects , beta-Lactamases/genetics , beta-Lactamases/metabolism
2.
Int J Soc Psychiatry ; 65(1): 14-19, 2019 02.
Article in English | MEDLINE | ID: mdl-30497315

ABSTRACT

BACKGROUND: The purpose of this study was to determine the association between social media dependence and depressive symptoms and also, to characterize the level of dependence. It was a transversal, analytical research. SUBJECTS AND METHODS: The stratified sample was 212 students from a private university that used Facebook, Instagram and/or Twitter. To measure depressive symptoms, Beck Depression Inventory was used, and to measure the dependence to social media, the Social Media Addiction Test was used, adapted from the Internet Addiction Test of Echeburúa. The collected data were subjected for analysis by descriptive statistics where STATA12 was used. RESULTS: The results show that there is an association between social media dependence and depressive symptoms (PR [Prevalence Ratio] = 2.87, CI [Confidence Interval] 2.03-4.07). It was also shown that preferring the use of Twitter (PR = 1.84, CI 1.21-2.82) over Instagram (PR = 1.61, CI 1.13-2.28) is associated with depressive symptoms when compared to the use of Facebook. CONCLUSION: Excessive social media use is associated with depressive symptoms in university students, being more prominent in those who prefer the use of Twitter over Facebook and Instagram.


Subject(s)
Behavior, Addictive/epidemiology , Depression/epidemiology , Social Media/statistics & numerical data , Social Networking , Students/statistics & numerical data , Adolescent , Adult , Causality , Female , Humans , Male , Multivariate Analysis , Peru/epidemiology , Psychiatric Status Rating Scales , Universities , Young Adult
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