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1.
Biosensors (Basel) ; 11(11)2021 Oct 28.
Article in English | MEDLINE | ID: covidwho-1533783

ABSTRACT

Based on the necessity and urgency of detecting infectious disease marker procalcitonin (PCT), a novel unlabeled photoelectrochemical (PEC) immunosensor was prepared for the rapid and sensitive detection of PCT. Firstly, SnO2 porous nanoflowers with good photocatalytic performance were prepared by combining hydrothermal synthesis and calcining. BiOI nanoflowers were synthesized by facile ultrasonic mixed reaction. Ag2S quantum dots were deposited on SnO2/BiOI composites by in situ growth method. The SnO2/BiOI/Ag2S composites with excellent photoelectric properties were employed as substrate material, which could provide significantly enhanced and stable signal because of the energy level matching of SnO2, BiOI and Ag2S and the good light absorption performance. Accordingly, a PEC immunosensor based on SnO2/BiOI/Ag2S was constructed by using the layered modification method to achieve high sensitivity analysis of PCT. The linear dynamic range of the detection method was 0.50 pg·mL-1~100 ng·mL-1, and the detection limit was 0.14 pg·mL-1. In addition, the designed PEC immunosensor exhibited satisfactory sensitivity, selectivity, stability and repeatability, which opened up a new avenue for the analyzation of PCT and further provided guidance for antibiotic therapy.


Subject(s)
Biosensing Techniques , Electrochemical Techniques , Immunoassay , Procalcitonin/analysis , Limit of Detection , Silver , Tin Compounds
2.
Clin Pharmacol Ther ; 108(4): 791-797, 2020 10.
Article in English | MEDLINE | ID: covidwho-108961

ABSTRACT

To evaluate the incidence, type, and risk factors associated with adverse drug reactions (ADRs) among patients with coronavirus disease 2019 (COVID-19) by Hospital Pharmacovigilance System (CHPS). A retrospective analysis was performed on 217 patients with COVID-19 admitted to the First Hospital of Changsha in China, from January 17, 2020, to February 29, 2020. The active monitoring model in CHPS was used to detect ADR signals of the hospital information system. The risk factors for the ADRs were classified using the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) system. Univariate and multivariate logistic regressions were carried out to analyze the risk factors of ADRs. Our results showed that the prevalence of ADRs was 37.8% in the patients, which was predominated by drug-induced gastrointestinal disorders and liver system disorders (23.0% vs. 13.8%). The ADR could be explained by the use of lopinavir/ ritonavir and umifenovir by 63.8% and 18.1%, respectively. There were 96.8% of ADRs that occurred within 14 days of hospitalization. Multivariable analysis showed that length of stay (odds ratio (OR): 2.02; 95% confidence interval (CI) 1.03-3.96; P = 0.04), number of drugs used in the hospital (OR: 3.17; 95% CI 1.60-6.27; P = 0.001) and underlying basic diseases (OR: 2.07; 95% CI 1.02-4.23; P = 0.04) were independent risk factor for ADRs in the patients. Together, the incidence of ADRs was significantly high during the treatment period. Moreover, the active monitoring of the CHPS system reflected ADRs during COVID-19 treatment in the real world, which provided reference for safe medication in the clinic.


Subject(s)
Antiviral Agents/adverse effects , Betacoronavirus , Coronavirus Infections/epidemiology , Drug-Related Side Effects and Adverse Reactions/epidemiology , Pharmacovigilance , Pharmacy Service, Hospital/methods , Pneumonia, Viral/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19 , Child , Child, Preschool , China/epidemiology , Coronavirus Infections/diagnosis , Coronavirus Infections/drug therapy , Drug-Related Side Effects and Adverse Reactions/diagnosis , Female , Humans , Incidence , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/drug therapy , Retrospective Studies , SARS-CoV-2 , Young Adult
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