European Pregnancy and Paediatric Infections Cohort Collaboration: Paediatric Protocol

MAIN AIM OF THE STUDY The overall aim of the EPPICC Paediatric Protocol is to analyse individual patient data from across collaborating European and international cohorts on infections in children and young people, to inform optimal prevention and treatment strategies. MAIN AREAS OF FOCUS HIV: prevalence and incidence of immunological and virological failure, HIV resistance, AIDS and non-AIDS events, mortality, cascade of care, engagement in care (including after transfer to adult care); antiretroviral therapy status and toxicities (adverse events, serious adverse events and discontinuation of drug) HCV: disease progression, uptake and outcome (effectiveness and safety) of HCV treatment in HCV mono- and HCV-HIV co-infected patients TB: incidence (including exploration of different diagnostic/screening strategies across regions) of LTBI and TB disease; outcomes of TB treatment including treatment of LTBI COVID-19: prevalence and incidence of infection and disease among both the general population and specifically among children and adolescents living with HIV; admission to hospital/ICU; outcomes (including resolution, death, sequelae (e.g. paediatric inflammatory syndrome temporally associated with SARS-CoV-2)) COHORT / INVESTIGATOR INCLUSION CRITERIA The study Sponsor has overall responsibility for site and investigator selection. The Principal Investigators of cohorts which have participated in previous EPPICC data mergers will be approached to ascertain their interest in participating in future data mergers. New cohorts may also be identified and may be invited to participate. The key inclusion criterion for a cohort to participate is enrolment of children and adolescents with the infection of interest. All cohorts who are able to commit to submitting and cleaning data, obtaining any ethical, regulatory or other approvals required locally, and completion of data sharing agreements in accordance with the project timelines will be included. DATA COLLECTION Collected data are pseudonymised: no names, initials, hospital numbers, national ID or addresses of patients are collected. Core data items included in most EPPICC paediatric data mergers include the following; Demographic: Date of birth, sex, ethnicity/country of origin, country of residence Therapeutic: Prophylaxis and treatment data (HIV, HCV, TB and COVID-19 treatments) including start and stop dates, drug names, doses and frequency of administration, and reasons for change/discontinuation Diagnostic: Diagnostic tests for infections undertaken, including dates and results Concurrent treatments: Other medications Clinical Infection status: (HIV, TB, HCV, HBV, SARS-CoV-2, other infection of interest), mode of acquisition of infection, date of diagnosis, disease stage Clinical (other events): Adverse events (e.g. severity, causal relation to drugs), AIDS- and non-AIDS- defining malignancies, COVID-19 sequelae, weight, height, death, causes of death, pregnancy, hospitalisations Laboratory: Absolute CD4 counts and percentage, HIV RNA, HCV RNA measurements, other lab markers Other Follow-up status, reason for study drop-out, transfer to adult care For certain analyses, additional data items may be requested, and may include: * Biochemistry results * Further details of severe adverse events * Outcome of severe events. Data merger methods Individual cohorts collect data from medical records in clinics. Cohorts then send electronic datasets to the EPPICC Paediatric Data Manager, using a format and method defined in an EPPICC Standard Operating Procedure. For the ongoing HIV analyses, data variables are based on HICDEP data formats. HICDEP is the HIV Cohorts Data Exchange Protocol (www.hicdep.org) and is based on a relational structure, with data presented in a series of tables, together with the lookup tables for the codes to be used. For other future cohort collaborations, the variables to be collected and the database format will be based on existing data collection tools and standards where possible. Transfer of data to the EPPICC Paediatric Data Manager takes place using Galaxkey or an equivalent secured method. Submitted data are subjected to a range of logic and consistency checks. STATISTICAL CONSIDERATIONS EPPICC analyses may cover a wide range of questions, although individual Concept Sheets are specific to focussed research questions. SAMPLE SIZE Data are collected on all eligible participants enrolled in the participating centres who meet the inclusion criteria. Sample size calculations are carried out for specific planned analyses to ensure that sufficient participants are available to meaningfully answer each research question. ANALYSIS PLAN Each Concept Sheet includes a brief analysis plan. Standard statistical methods are used in the analysis of different types of exposure and outcome data. Adjustment for confounding may be achieved through multivariable modelling or using alternative approaches such as propensity scoring. Missing data are to be expected and, depending on the analysis and the amount and likely mechanisms of missing data, may be approached using complete case analysis or techniques such as multiple imputation. Details of specific analytical approaches are included in each Concept Sheet. Previous analyses of EPPICC paediatric data have used approaches including Cox regression, linear regression, logistic regression, and propensity score matching. Cohorts may be grouped by region (as cohorts within the same region are often similar in terms of epidemiology and treatment approaches), and region is then included as a covariate in the analysis. REGULATORY \& ETHICAL ISSUES COMPLIANCE EPPICC is an observational study with no study-specific interventions beyond those received in routine care. Nevertheless, it is conducted in compliance with the approved protocol, the Declaration of Helsinki 1996, the principles of Good Clinical Practice, the General Data Protection Regulation and the UK Data Protection Act 2018 (DPA number: Z6364106), and the UK Policy Framework for Health and Social Care Research. Each cohort is responsible for ensuring compliance with local and national regulatory and ethical processes. DATA RETENTION The paediatric study dataset will be stored at the MRC CTU at UCL, in accordance with national data legislation. A final copy will be sent to the study sponsor, the Penta Foundation. The dataset will be held for a minimum of 5 years after the end of the study. DATA SHARING AGREEMENTS BETWEEN COHORTS AND EPPICC Individual cohorts, the Penta Foundation and the MRC CTU at UCL are required to sign a Data Sharing Agreement (DSA), which allows transfer of data between cohorts and the Penta Foundation and the MRC CTU at UCL. All data will be handled and used in accordance with the DSA. Cohorts should return the DSA, once signed, to the project coordinator at the Penta Foundation. THIRD PARTY DATA SHARING REQUESTS Extracts of EPPICC data may be requested for other cohort collaboration analyses, both nationally and internationally. Requests to access EPPICC data will be considered on a case by case basis. Transfer of EPPICC data (partial or complete) to third party collaborators requires approval from the PIs of cohorts contributing data (or authorised cohort representatives) and is subject to a contract and Data Sharing Agreement, if applicable. All data transfer is conducted through a secure process. Any data transferred to third parties must be stored by third parties in compliance with all relevant data protection regulations. Researchers wishing to access EPPICC data should contact the EPPICC Study Team in the first instance. A Concept Sheet is then required, which would be circulated to and discussed with all potential contributing cohorts.