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Health Care Associated Infection clinical trials

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NCT ID: NCT05756582 Recruiting - Tuberculosis Clinical Trials

Prevalence of Latent Tuberculosis Infection in Health-care Workers and Students

CROSSWORD
Start date: November 17, 2021
Phase:
Study type: Observational

This study is a cross-sectional study that examines the prevalence of Latent Tuberculosis Infection [LTBI], defined as individuals infected with Mycobacterium tuberculosis with no clinical evidence of disease, and the possible risk factors of LTBI in a large cohort of health care workers (HCWs) and students.

NCT ID: NCT04844632 Recruiting - Clinical trials for Health Care Utilization

COVID19 Vaccination: Clinical, Laboratory and Cellular Monitoring

SAPIENZAVAX
Start date: February 11, 2021
Phase:
Study type: Observational

Primary objective: 1. Monitor adverse events (Adverse Event Following Immunization - AEFI) in vaccinated subjects and analyze the associations with: (a) demographic variables and anthropometric parameters (sex, age, BMI, etc.); (b) socioeconomic-cultural variables; (c) co-morbidities. Secondary objectives: 1. Monitor the antibody response in vaccinated subjects and analyze the associations with: (a) demographic variables and anthropometric parameters (sex, age, BMI, etc.); (b) socioeconomic-cultural variables; (c) co-morbidities. 2. Assess the quantity (antibody titer) and quality of the anti-Spike immune response induced by vaccination. 3. Evaluate the dynamics of the infection and the protective efficacy of the vaccine against infection / disease by studying the incidence and titre of antibodies against Nucleoprotein (N) induced by natural infection; 4. Evaluate the neutralizing capacity of sera vs. a panel of sera selected and analyzed in house and in in vitro microneutralization systems with live virus; 5. To evaluate the cell-mediated immune response (CMI) to vaccination against SARS-CoV-2 in a subgroup of vaccinees. Methodology: 1. Administration at baseline of a questionnaire for the collection of clinical data. 2. Perform a blood sample to measure antibody response in vaccinated subjects 3. Administer a questionnaire to evaluate adverse events after vaccination 4. Reassess the antibody response 1 month after complete vaccination and 6 and 12 months after the start of vaccination 5. An antibody assay will be drawn in a subgroup before subjecting the subject to the vaccine. 6. In a subgroup, the blood collected will also be collected in a heparinized tube for the study of cell-mediated immunity. 7. In the event that a subject participating in the study presents during the course of the observation the positivity for the molecular research of SARS-CoV-2 RNA to the oro-nasopharyngeal swab, a new sample will be performed and sent to the Istituto Superiore di Sanità for the search for viral variants.

NCT ID: NCT04801862 Recruiting - Clinical trials for Clostridium Difficile Infection

Natural History of Clostridioides Difficile Infection

Start date: January 1, 2021
Phase:
Study type: Observational [Patient Registry]

Aim: To investigate if host factors, such as composition and diversity of intestinal microbiota and/or genetic determinants, are associated with a higher risk of recurrence of Clostridioides difficile infection (CDI). To generate a predictive tool based on epidemiological, clinical, genetic and microbiologic variables aimed to identify patients at a higher risk of CDI recurrence in a context of optimized ICD management. Design: Multicenter prospective cohort study. Patients: Older than 18 years patients with CDI diagnosis, made by IDSA criteria, in the participant centers. Follow-up: A stewarship program aimed to improve CDI management, including early detection of CDI recurrence, will be implemented in the participant centers. Blood samples for genetic testing and stool samples for intestinal microbiome studies will be collected. Variables and data analysis: The primary outcome variable will be the emergence of CDI recurrence. Potential independent predictors of recurrence, including genetic and microbiological factors, will be assessed. A predictive tool based on independent predictors of recurrence will be built in a development subpopulation. The performance of the model will be assessed by ROC curves, and sensititvity, especificity, as well as negative and positive predictive values will be calculated, both in the development subpopulation and in a validation subset.