Is U=U consistently known and implemented? A survey among different medical specialists in Brazil.

Despite solid scientific evidence, the concepts of treatment as prevention (TASP) and Undetectable = Untransmittable (U = U) remain unfamiliar and underutilized for some healthcare providers. We conducted a self-completion survey to evaluate the knowledge of TASP/U = U in different medical specialties. Wilcoxon Rank-Sum, Chi-square and Fisher's exact tests were used for group comparisons and a logistic regression model was used to assess factors independently associated with U = U-non-supportive attitudes. 197 physicians were included; 74% agreed/strongly agreed that people living with HIV (PLHIV) under regular treatment with undetectable viral do not transmit HIV sexually. However, only 66% agree/strongly agree that PLHIV should be informed about that. The knowledge about these concepts was poorer among gynecologists, urologists and internal medicine specialists when compared to infectious diseases specialists after adjustment for age, race/skin color, gender, and sexual orientation. Our study found that knowledge of crucial concepts of HIV prevention may be lacking for some medical specialties. This highlights the need of improvement in medical education.

Prediction models for carbapenem-resistant Enterobacterales carriage at liver transplantation: A multicenter retrospective study.

BACKGROUND: Carbapenem-resistant Enterobacterales (CRE) colonisation at liver transplantation (LT) increases the risk of CRE infection after LT, which impacts on recipients' survival. Colonization status usually becomes evident only near LT. Thus, predictive models can be useful to guide antibiotic prophylaxis in endemic centres. AIMS: This study aimed to identify risk factors for CRE colonisation at LT in order to build a predictive model. METHODS: Retrospective multicentre study including consecutive adult patients who underwent LT, from 2010 to 2019, at two large teaching hospitals. We excluded patients who had CRE infections within 90 days before LT. CRE screening was performed in all patients on the day of LT. Exposure variables were considered within 90 days before LT and included cirrhosis complications, underlying disease, time on the waiting list, MELD and CLIF-SOFA scores, antibiotic use, intensive care unit and hospital stay, and infections. A machine learning model was trained to detect the probability of a patient being colonized with CRE at LT. RESULTS: A total of 1544 patients were analyzed, 116 (7.5%) patients were colonized by CRE at LT. The median time from CRE isolation to LT was 5 days. Use of antibiotics, hepato-renal syndrome, worst CLIF sofa score, and use of beta-lactam/beta-lactamase inhibitor increased the probability of a patient having pre-LT CRE. The proposed algorithm had a sensitivity of 66% and a specificity of 83% with a negative predictive value of 97%. CONCLUSIONS: We created a model able to predict CRE colonization at LT based on easy-to-obtain features that could guide antibiotic prophylaxis.

Association between age at diagnosis and degree of liver injury in hepatitis C

Introduction: A population-based survey conducted in Brazilian capital cities found that only 16% of the population had ever been tested for hepatitis C. These data suggest that much of the Brazilian population with HCV infection remains undiagnosed. The distribution of age ranges at diagnosis and its association with the degree of hepatitis C are still unknown in Brazilian patients. Material and methods: Patients with HCV infection, diagnosed by HCV RNA (Amplicor-HCV, Roche), were included in the study. Patients with HBV or HIV coinfection, autoimmune diseases, or alcohol intake > 20 g/day were excluded. HCV genotyping was performed by sequence analysis, and viral load by quantitative RT-PCR (Amplicor, Roche). The METAVIR classification was used to assess structural liver injury. The Chi-square (χ2) test and student's t-test were used for between-group comparisons. Spearman's rank correlation coefficient were used for analysing the correlation between parameters. Results: A total of 525 charts were reviewed. Of the patients included, 49.5% were male, only 10% of the patients were aged less than 30 years; peak prevalence of HCV infection occurred in the 51-to-60 years age range. Genotype 1 accounted for 65.4% of the cases. Information on HCV subtype was obtained in 227 patients; 105 had subtype 1a and 122 had 1b. According to the degree of structural liver injury, 8.3% had F0, 23.4% F1, 19.8% F2, 11.9% F3, and 36.5% F4. Age at diagnosis of hepatitis correlated significantly with fibrosis (rs = 0.307, p < 0.001). The degree of fibrosis increased with advancing age. Only age at diagnosis and fasting blood glucose were independently associated with disease stage. Those patients with subtype 1a had higher prevalence of F2–F4 than those with subtype 1b. Conclusion: In Brazil, diagnosis of hepatitis C is more commonly established in older patients (age 45–60 years) with more advanced disease. Reassessment of strategies ...

Association between age at diagnosis and degree of liver injury in hepatitis C.

INTRODUCTION: A population-based survey conducted in Brazilian capital cities found that only 16% of the population had ever been tested for hepatitis C. These data suggest that much of the Brazilian population with HCV infection remains undiagnosed. The distribution of age ranges at diagnosis and its association with the degree of hepatitis C are still unknown in Brazilian patients. MATERIAL AND METHODS: Patients with HCV infection, diagnosed by HCV RNA (Amplicor-HCV, Roche), were included in the study. Patients with HBV or HIV coinfection, autoimmune diseases, or alcohol intake>20 g/day were excluded. HCV genotyping was performed by sequence analysis, and viral load by quantitative RT-PCR (Amplicor, Roche). The METAVIR classification was used to assess structural liver injury. The Chi-square (χ(2)) test and student's t-test were used for between-group comparisons. Spearman's rank correlation coefficient were used for analysing the correlation between parameters. RESULTS: A total of 525 charts were reviewed. Of the patients included, 49.5% were male, only 10% of the patients were aged less than 30 years; peak prevalence of HCV infection occurred in the 51-to-60 years age range. Genotype 1 accounted for 65.4% of the cases. Information on HCV subtype was obtained in 227 patients; 105 had subtype 1a and 122 had 1b. According to the degree of structural liver injury, 8.3% had F0, 23.4% F1, 19.8% F2, 11.9% F3, and 36.5% F4. Age at diagnosis of hepatitis correlated significantly with fibrosis (rs=0.307, p<0.001). The degree of fibrosis increased with advancing age. Only age at diagnosis and fasting blood glucose were independently associated with disease stage. Those patients with subtype 1a had higher prevalence of F2-F4 than those with subtype 1b. CONCLUSION: In Brazil, diagnosis of hepatitis C is more commonly established in older patients (age 45-60 years) with more advanced disease. Reassessment of strategies for hepatitis C diagnosis in the country is required.