Disparities in Syphilis Trends and the Impact of the COVID-19 Pandemic: A Joinpoint Analysis of Florida Surveillance Data (2013-2022).

Introduction: Syphilis, a sexually transmitted infection caused by the bacterium ​​​​​​, has reemerged at an increasing rate globally in recent years, posing a significant public health concern. Visualizing and analyzing time series trends of syphilis across various demographics and geographic regions, and how syphilis trends varied during the pandemic coronavirus disease 2019 (COVID-19), would help public health policymakers develop targeted strategies and interventions to effectively address the rising rates of syphilis, ultimately improving overall public health outcomes.

Methods:  A retrospective study was conducted using surveillance data on infectious syphilis cases reported to the Florida Department of Health, between 2013 and 2022.

Feature Identification Using Interpretability Machine Learning Predicting Risk Factors for Disease Severity of In-Patients with COVID-19 in South Florida.

The objective of the study was to establish an AI-driven decision support system by identifying the most important features in the severity of disease for ntensive are nit (ICU) with echanical entilation (MV) requirement, ICU, and nterediate are nit (IMCU) admission for hospitalized patients with COVID-19 in South Florida. The features implicated in the risk factors identified by the model interpretability can be used to forecast treatment plans faster before critical conditions exacerbate. We analyzed eHR data from 5371 patients diagnosed with COVID-19 from South Florida Memorial Healthcare Systems admitted between March 2020 and January 2021 to predict the need for ICU with MV, ICU, and IMCU admission.

Clinical Features and Outcomes of Hospitalized Adult Patients With Breakthrough COVID-19 Infections: A Propensity-Score-Matched Observational Study.

In this study, we aimed to evaluate the impact of vaccination on intensive care unit (ICU) admission and in-hospital mortality among breakthrough coronavirus disease 2019 (COVID-19) infections. A total of 3,351 adult patients hospitalized with COVID-19 in the Memorial Healthcare System (Hollywood, Florida) between June 1 and September 20, 2021, were included; 284 (8.5%) were fully vaccinated.

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida.

Introduction: The SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic burdens in the US and worldwide. As new variants continuously emerge, predicting critical clinical events in the context of relevant individual risks is a promising option for reducing the overall burden of COVID-19. This study aims to train an AI-driven decision support system that helps build a model to understand the most important features that predict the "mortality" of patients hospitalized with COVID-19.

Distinct Clinical Presentations and Outcomes of Hospitalized Adults with the SARS-CoV-2 Infection Occurring during the Omicron Variant Surge.

The COVID-19 Omicron variant has imposed a tremendous burden on healthcare services. We characterized the types of the Omicron variant-associated hospitalizations and their associations with clinical outcomes. Consecutive adults hospitalized with COVID-19 during the Omicron variant surge period of 1-14 January 2022, were classified into one of three groups based on their clinical presentations on admission: Group 1-primary COVID-19; Group 2-extrapulmonary manifestations of COVID-19; and Group 3-incidental COVID-19.

Mortality and prognostic factors in hospitalized COVID-19 patients with cancer: an analysis from a large healthcare system in the United States.

Background: To evaluate clinical outcomes in patients with malignancy who are SARS-CoV-2 (COVID-19) positive and investigate if factors such as age, gender, and race contribute to COVID-19 mortality in patients with malignancy.

Methods: Retrospective data was gathered from Memorial Healthcare System of COVID-19 patients hospitalized from March 1, 2020 to January 18, 2021. Active malignancy was defined as either receiving antineoplastic therapy or being under surveillance.

Impact of the COVID-19 pandemic on an emergency department-based opt-out HIV screening program in a South Florida hospital: An interrupted time series analysis, July 2018-March 2021.

Background: The COVID-19 pandemic has posed a tremendous burden on healthcare services. We evaluated its impact on an emergency department (ED)-based opt-out Human immunodeficiency virus (HIV) testing in a public healthcare system.

Methods: The programmatic data of ED-based HIV testing from July 2018 to March 2021 at the Memorial Regional Hospital, Hollywood, Florida was analyzed by interrupted time series analysis to evaluate the immediate and gradual effects of the COVID-19 pandemic on the number of monthly HIV tests, with an interruption point at March 2020.

Lymphopenia as a Predictor for Adverse Clinical Outcomes in Hospitalized Patients with COVID-19: A Single Center Retrospective Study of 4485 Cases.

Lymphopenia is commonly present in patients with COVID-19. We sought to determine if lymphopenia on admission predicts COVID-19 clinical outcomes. A retrospective chart review was performed on 4485 patients with laboratory-confirmed COVID-19, who were admitted to the hospital.

Characteristics, Vaccination Status and Outcomes Among Healthy Younger Adults in a Large Public Healthcare System in the South Florida Region.

Nationally, the 18-49 years old age group are less likely to be vaccinated compared to those 50 years and older. Data describing the risk of COVID-19 severe illness that requires hospitalization among younger healthy adults is limited. In an effort to underscore the importance of vaccination and provide data that may influence COVID-19 risk perception, COVID-19 data of a sample of hospitalized non-elderly age group who clinically may not be considered as high risk for severe COVID-19 illness are presented.

Monocyte Chemotactic Protein-Induced Protein 1 (MCPIP-1): A Key Player of Host Defense and Immune Regulation.

Inflammatory response is a host-protective mechanism against tissue injury or infections, but also has the potential to cause extensive immunopathology and tissue damage, as seen in many diseases, such as cardiovascular diseases, neurodegenerative diseases, metabolic syndrome and many other infectious diseases with public health concerns, such as Coronavirus Disease 2019 (COVID-19), if failure to resolve in a timely manner. Recent studies have uncovered a superfamily of endogenous chemical molecules that tend to resolve inflammatory responses and re-establish homeostasis without causing excessive damage to healthy cells and tissues. Among these, the monocyte chemoattractant protein-induced protein (MCPIP) family consisting of four members (MCPIP-1, -2, -3, and -4) has emerged as a group of evolutionarily conserved molecules participating in the resolution of inflammation.

The Epidemiology and Predictors of Outcomes Among Confirmed COVID-19 Cases in a Large Community Healthcare System in South Florida.

The novel coronavirus disease 2019 (COVID-19) continues to be a major public health concern. The aim of this study was to describe the presenting characteristics, epidemiology and predictors of outcomes among confirmed COVID-19 cases seen at a large community healthcare system which serves the epicenter and diverse region of Florida. We conducted a retrospective analysis of individuals with lab-confirmed SARS-CoV-2 infection who were seen, from March 2, 2020 to May 31, 2020, at Memorial Healthcare System in South Florida.

COVID-19 infection among first responders in Broward County, Florida, March-April 2020.

Background: First responders (FRs) may have a significant risk of coronavirus 19 (COVID-19) infection than the general population due to job-related exposures. We aimed to determine the prevalence and exposure patterns of COVID-19 among FRs.

Methods: Between March and April 2020, FRs in Broward County, Florida, were screened for COVID-19 infection by real-time reverse transcription polymerase chain reaction assay using nasopharyngeal swabs.

A pilot study of the feasibility of confocal endomicroscopy for examination of the human airway.

Background: Traditional methods of evaluating human airway histology, such as surgical biopsy or endobronchial biopsy, are limited by the risks associated with these tissue-sampling procedures.

Objective: The purpose of this study was to develop and evaluate the first confocal endomicroscope for real-time, in vivo imaging of human respiratory mucosa in a clinical setting.

Methods: A confocal endomicroscope prototype was designed using Pentax bronchoscope parts (EB1970K).