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Epidemiology - ClinicalTrials.gov

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Last Updated: 27 July 2022

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The Epidemiology of Critical Respiratory Diseases in Ex-preterm Infants Admitted to the Pediatric Intensive Care in Vietnam

Infants who survive are at a greater risk of a variety of short- and long-term health problems. This results in increased financial strain on the health care system and families. Prematurity's effect on the health care system, particularly in pediatric intensive care units, has mainly been determined in high-income countries. Little is known about long-term health of infants in low- and middle-income countries, and their effect on the health care system. This pilot, single institution, observational research seeks to determine the prevalence, course of the infections, and outcomes of ex-premature infants with respiratory disease who are admitted to a PICU of a tertiary children's hospital in Vietnam. The investigators will prospectively screen and recruit all children aged less than 2 years old admitted to the PICU with respiratory disease/failure and gather relevant clinical data in order to achieve these goals.

Source link: https://clinicaltrials.gov/ct2/show/NCT04284891


Natural History, Epidemiology and Pathogenesis of Severe HPV-related Diseases (Neptune)

This is a prospective, longitudinal natural history study. In immunocompromised hosts, Define the natural history of HPV infections on skin and mucosal tissue. By next-generation sequencing, Define the epidemiology of skin and mucosal HPV variants in immunocompromised hosts. Define the presence of immune cells in skin and mucosal surfaces of patients with severe HPV-related diseases as well as immunologic correlates of HPV-disease progression. Define the cellular and functional components involved in the detection or absence of HPV infection in various cutaneous and mucosal surfaces. The aim of this research is to determine clinical and immunologic correlates of elevated susceptibility to human papillomavirus infections, HPV-related dysplasia/cancer, or other HPV-related medical disorders. Healthy family members will also be included as comparators.

Source link: https://clinicaltrials.gov/ct2/show/NCT05026138


An Investigation Into the Epidemiology and Surgical Intervention for Proximal Aortic Disease in Scotland

Two main objectives: Establishing patient demographics, procedural forms, and patient demographics will be the first to examine patient outcomes from a national registry of patients after surgery for proximal thoracic aorta in Scotland. Two patient cohorts - Adult patients who underwent surgical intervention on the proximal aorta in the three Scottish Cardiothoracic Surgery units based in Glasgow, Edinburgh, Aberdeen, and Aberdeen, Scotland, in the last 13 years - will be collected in a modern and retrospective manner. Patients with a diagnosis of thoracic aortopathy diagnosed with the National Interim Clinical Imaging Procedure codes retrieved from the Scottish Radiology Information System and Communication System databases will be identified from three sources: Patients with a diagnosis of thoracic aortopathy will be recruited from three sources: Patients with a diagnosis of thoracic aortopathy diagnosed by national Interim Clinical Imaging Procedure codes retrieved from the Scottish Radiology Information System and Picture Archive and Communication System and Picture Archive a aortopathy diagnosis of aortopathy diagnosed via National Interim Clinical Imaging Procedure codes aortopathy are aortopathy with aortopathy are aortopathy. The NHS Golden Jubilee Research Department will manage the study. Professor Faisal Ahmed Samson Gemmell Chair of Child Health, University of Glasgow, and Professor Mark Danton will investigate this research endeavor as part of the University of Glasgow's postgraduate research program, and Professor Faisal Ahmed Samson Gemmell Chair of Child Health Professor Faisal Ahmed Samson Gemmell Chair of Statistics will be directed and guided by Professor McConnachie. Analysis will be carried out using R statistical analysis software R Foundation for Statistical Computing, Vienna, Austria.

Source link: https://clinicaltrials.gov/ct2/show/NCT05389865

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions