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1.
Turk J Gastroenterol ; 31(3): 221-233, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-32343234

RESUMO

BACKGROUND/AIMS: The aim of this study was to assess the clinical and sociodemographic risk factors of Helicobacter pylori infection and antibiotic resistance in the eastern Black Sea region of Turkey. MATERIALS AND METHODS: In total, 344 patients with dyspeptic symptoms who completed an extended questionnaire were enrolled in the study. Diagnosis of H. pylori infection was made by rapid urease test, histopathological investigation, and culture. Susceptibility of H. pylori strains was assessed by agar dilution (amoxicillin, tetracycline, metronidazole, levofloxacin) and E-test (clarithromycin) methods. RESULTS: The H. pylori positivity rate was 40.4% (139/344). Logistic regression analysis indicated that age and the presence of duodenal ulcer were independent risk factors associated with H. pylori positivity (odds ratio (OR): 0.96, 95% CI: 0.93-0.99, p=0.013; OR: 5.42, 95% CI: 1.96-14.98, p=0.001, respectively). Of 104 H. pylori-positive cultures, 43 strains (41%) were susceptible to all antibiotics, whereas 61 (59%) were resistant to at least one antibiotic. H. pylori resistance rates were 34% for levofloxacin, 31.1% for metronidazole, 28.2% for clarithromycin, 2.9% for amoxicillin, and 1% for tetracycline. Logistic regression analysis indicated that previous use of clarithromycin was the only independent risk factor for H. pylori resistance (OR: 6.25, 95% CI: 1.59-24.52, p=0.009). CONCLUSION: An understanding of the risk factors for H. pylori positivity and antibiotic resistance in an extended anamnesis may affect treatment choice and facilitate H. pylori eradication. In regions where antibiotic resistance rates are elevated, performing antibiotic susceptibility tests may lead to effective eradication treatment.


Assuntos
Antibacterianos/uso terapêutico , Resistência Microbiana a Medicamentos , Infecções por Helicobacter/tratamento farmacológico , Infecções por Helicobacter/epidemiologia , Helicobacter pylori , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Mar Negro/epidemiologia , Feminino , Infecções por Helicobacter/microbiologia , Humanos , Modelos Logísticos , Masculino , Testes de Sensibilidade Microbiana , Pessoa de Meia-Idade , Razão de Chances , Prevalência , Fatores de Risco , Turquia/epidemiologia , Adulto Jovem
2.
Dig Dis ; 36(3): 244-251, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29332096

RESUMO

AIM: Coagulation disorders may develop in association with severe acute pancreatitis (AP). Plasma thrombin-antithrombin III complex (TAT) levels are one of the principal markers of coagulation disorder. The purpose of this study was to evaluate TAT and other hemostatic parameters in patients with AP and to examine whether or not these parameters indicate the severity of AP. METHOD: Forty-six patients with AP (14 severe, 32 non-severe) and a 30-member healthy control group were recruited. The severity of AP was determined using the revised Atlanta classification. ELISA was used to measure patients' plasma TAT levels. RESULTS: The TAT levels of AP patients at presentation were higher than those of the control group (p = 0.005). The plasma TAT levels of patients with severe AP were also significantly higher than those of patients with non-severe AP (p = 0.05) and of the control group (p < 0.001). The general accuracy, sensitivity and specificity of TAT levels in predicting the severity of AP were 77.4, 77.8, and 77.3% respectively. CONCLUSION: The coagulation cascade was activated in the AP patients in our study, and this was shown to become more pronounced as severity of the disease increased. Plasma TAT levels at the time of presentation in patients with AP can be used as a marker for predicting the severity of the disease.


Assuntos
Antitrombina III/metabolismo , Pancreatite/sangue , Peptídeo Hidrolases/metabolismo , Doença Aguda , Biomarcadores/sangue , Proteína C-Reativa/metabolismo , Carboxipeptidase B2/metabolismo , Estudos de Casos e Controles , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Curva ROC
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