Publications by authors named "Juan Pablo Domecq Garces"
Introduction: Various Machine Learning (ML) models have been used to predict sepsis-associated mortality. We conducted a systematic review to evaluate the methodologies employed in studies to predict mortality among patients with sepsis.
Methods: Following a pre-established protocol registered at the International Prospective Register of Systematic Reviews, we performed a comprehensive search of databases from inception to February 2024.
Objectives: Conduct a systematic review and meta-analysis to assess prevalence and timing of acute kidney injury (AKI) development after acute respiratory distress syndrome (ARDS) and its association with mortality.
Data Sources: Ovid MEDLINE(R), Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, Ovid PsycINFO database, Scopus, and Web of Science thought April 2023.
Study Selection: Titles and abstracts were screened independently and in duplicate to identify eligible studies.
Background: Challenges with SARS-CoV-2 vaccine prioritization, access, and hesitancy have influenced vaccination uptake.
Research Question: Was the impact of SARS-CoV-2 vaccine rollout on COVID-19 monthly admission and mortality trends different between Hispanic and non-Hispanic populations?
Study Design And Methods: We used interrupted time series analysis to conduct an ancillary study of the Viral Infection and Respiratory Illness Universal Study registry supplemented by electronic health record data from five participating Mayo Clinic sites in Florida, Arizona, Minnesota, and Wisconsin. We included hospitalized patients with COVID-19 admitted between April 2020 and December 2021.
Article Synopsis
- Manual data extraction from electronic health records is resource-intensive, and automating this process can alleviate burdens and enhance research capabilities.
- The study assesses the effectiveness of automated data extraction in a large cohort of adult COVID-19 patients, comparing it with traditional manual methods.
- Results show that automated extraction achieves nearly perfect agreement for most categorical variables and very high correlations for continuous variables, indicating its reliability and feasibility.
Introduction: The goal of this investigation is to assess the association between prehospital use of aspirin (ASA) and patient-centered outcomes in a large global cohort of hospitalized COVID-19 patients.
Methods: This study utilizes data from the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) Registry. Adult patients hospitalized from February 15th, 2020, to September 30th, 2021, were included.
Unlabelled: To describe the prevalence, associated risk factors, and outcomes of serious neurologic manifestations (encephalopathy, stroke, seizure, and meningitis/encephalitis) among patients hospitalized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.
Design: Prospective observational study.
Setting: One hundred seventy-nine hospitals in 24 countries within the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study COVID-19 Registry.
Differential mortality with COVID-19 and invasive mechanical ventilation between high-income and low-and middle-income countries: a systematic review, meta-analysis, and meta-regression.
Infez Med
March 2022
The COVID-19 pandemic has markedly affected the health care of patients in low- and middle-income countries (LMICs), but no systematic study to corroborate this effect has been undertaken. In addition, the survival outcomes of patients with COVID-19 who received invasive mechanical ventilation (IMV) have not been well established. We pooled evidence from all available studies and did a systematic review and meta-analysis to assess and compare mortality outcomes between LMICs and high-income countries (HICs).
View Article and Find Full Text PDFIntroduction: To date, only corticosteroids and interleukin-6 (IL-6) inhibitors have been shown to reduce mortality of hospitalized patients with COVID-19. In this literature review, we aimed to summarize infection risk of IL inhibitors, with or without the use of corticosteroids, used to treat hospitalized patients with COVID-19.
Methods: A literature search was conducted using the following evidence-based medicine reviews: Cochrane Central Register of Controlled Trials; Cochrane Database of Systematic Reviews; Embase; Ovid Medline; and Epub Ahead of Print, In-Process, In-Data-Review & Other Non-Indexed Citations, Daily and Versions 1946 to April 28, 2021.
Background: Little is known about the impact of interventions to support shared decision making (SDM) with pediatric patients.
Objectives: To summarize the efficacy of SDM interventions in pediatrics on patient-centered outcomes.
Data Sources: We searched Ovid Medline, Ovid Embase, Ovid Cochrane Library, Web of Science, Scopus, and Ovid PsycInfo from database inception to December 30, 2013, and performed an environmental scan.
Background: Shared decision making in pediatrics is unique because it often involves active participation of both the child or adolescent patient and his or her caregiver(s) in the decision making process with the clinician or care team, and the extent to which the patient is involved is commensurate with their developmental level. However, little is known about the nature of pediatric-specific shared decision making interventions and their impact.
Methods/design: We will perform a systematic review with the objective of summarizing the nature of shared decision making practices, tools, techniques and technologies in the pediatric setting as well as their effects.
Background: There is growing attention towards increasing patient and service user engagement (PSUE) in biomedical and health services research. Existing variations in language and design inhibit reporting and indexing, which are crucial to comparative effectiveness in determining best practices.
Objective: This paper utilizes a systematic review and environmental scan to derive an evidence-based framework for PSUE.