Publications by authors named "Huespe Ivan A"
Study Design: Retrospective case serie.
Objectives: Assess the correlation between pedicle screw (PS) position of the first instrumented vertebra (FIV) with proximal adjacent segment degeneration (ASD) development or progression.
Methods: Patients ≥55 years who have undergone lumbar fusion with a minimum 2-year follow-up were included.
Article Synopsis
- * Daily PM₂.₅ (a harmful air pollutant) levels were significantly higher on wildfire days (34 µg/m) compared to non-wildfire days (25.75 µg/m), indicating a link to fire events.
- * The risk of ST-elevation myocardial infarction (STEMI) increased with higher PM₂.₅ levels, especially when concentrations exceeded 20 µg/m, suggesting that wildfires contribute to heart health risks.
Purpose: To explore the association of estimated plasma volume (ePV) and plasma volume status (PVS) as surrogates of volume status with new-onset AKI and in-hospital mortality among hospitalized COVID-19 patients.
Materials And Methods: We performed a retrospective multi-center study on COVID-19-related ARDS patients who were admitted to the Mayo Clinic Enterprise health system. Plasma volume was calculated using the formulae for ePV and PVS, and longitudinal analysis was performed to find the association of ePV and PVS with new-onset AKI during hospitalization as the primary outcome and in-hospital mortality as a secondary outcome.
Introduction: The COVID-19 vaccine became an effective instrument to prevent severe SARS-CoV-2 infections. However, 5% of vaccinated patients will have moderate or severe disease.
Objective: to compare mortality and days between the symptom onset to the peak disease severity, in vaccinated vs.
Importance: The scientific community debates Generative Pre-trained Transformer (GPT)-3.5's article quality, authorship merit, originality, and ethical use in scientific writing.
Objectives: Assess GPT-3.
Article Synopsis
- New variants of SARS-CoV-2, changes in public health measures, and decreased immunity in high-risk groups are leading to predictions of increased hospitalizations and intensive care admissions, highlighting a need for effective Early Warning Scores (EWSs) to predict patient complications within 24-48 hours.* -
- The developed COVID-19 Early Warning Score (COEWS) relies on easily accessible laboratory parameters, distinguishing it from existing models like NEWS2, and assesses risk in both vaccinated and unvaccinated patients.* -
- The COEWS model incorporates key lab results, transforming predictive coefficients into individual scores that help identify patients at risk of mechanical ventilation or death; its predictive performance shows promising results with a discrimination score of
Purpose: The primary purpose of this study was to describe the rate of volar locking plate (VLP) removal after distal radius fracture and how long it takes for the risk of VLP removal to stabilize. The secondary purpose was to describe the reasons for VLP removal and analyze the relationship between it and the Soong index.
Methods: This was a single-center retrospective cohort study.
Purpose: To evaluate the association of estimated plasma volume (ePV) and plasma volume status (PVS) on admission with the outcomes in COVID-19-related acute respiratory distress syndrome (ARDS) patients.
Materials And Methods: We performed a retrospective multi-center study on COVID-19-related ARDS patients who were admitted to the Mayo Clinic Enterprise health system. Plasma volume was calculated using the formulae for ePV and PVS, and these variables were analyzed for correlation with patient outcomes.
Background: We aimed to report implant survival in Garden type I and II femoral neck fractures treated with cannulated screws in elderly patients.
Methods: We retrospectively studied 232 consecutive unilateral Garden I and II patients (232 fractures) treated with cannulated screws. Mean age was 81 years (range, 65 to 100), and a body mass index of 25 (range, 15.
The aim of this study was to analyze whether the coronavirus disease 2019 (COVID-19) vaccine reduces mortality in patients with moderate or severe COVID-19 disease requiring oxygen therapy. A retrospective cohort study, with data from 148 hospitals in both Spain (111 hospitals) and Argentina (37 hospitals), was conducted. We evaluated hospitalized patients for COVID-19 older than 18 years with oxygen requirements.
View Article and Find Full Text PDFPurpose: Alactic base excess (ABE) is a novel biomarker defined as the sum of lactate and standard base excess and estimates the renal capability of handling acid-base disturbances in sepsis. The objective of this study is to see if ABE is an independent predictor of mortality in septic patients with and without renal dysfunction.
Materials And Methods: We retrospectively studied 1178 patients with sepsis and septic shock.
Background: Assessment of the efficacy and complications associated with performing bronchoscopy-guided percutaneous tracheostomy in COVID-19 and non-COVID-19 patients.
Methods: Prospective observational study conducted between March of 2020 and February of 2022. All adult patients who underwent elective bronchoscopy-guided percutaneous tracheostomy were included.
Background: The criteria for the selection of COVID-19 patients that could benefit most from ECMO organ support are yet to be defined. In this study, we evaluated the predictive performance of ECMO mortality predictive models in patients with COVID-19. We also performed a cost-benefit analysis depending on the mortality predicted probability.
View Article and Find Full Text PDFIntroduction: Nonattendance is a critical problem that affects health care worldwide. Our aim was to build and validate predictive models of nonattendance in all outpatients appointments, general practitioners, and clinical and surgical specialties.
Methods: A cohort study of adult patients, who had scheduled outpatient appointments for General Practitioners, Clinical and Surgical specialties, was conducted between January 2015 and December 2016, at the Italian Hospital of Buenos Aires.
Article Synopsis
- New SARS-CoV-2 variants, breakthrough infections, waning immunity, and low vaccination rates are causing increased hospitalizations and deaths, highlighting the need for better resource allocation tools in hospitals, especially in resource-limited areas.
- The CODOP tool, developed using machine learning, predicts the clinical outcomes of hospitalized COVID-19 patients by analyzing 12 clinical parameters, demonstrating high accuracy levels (AUROC: 0.90-0.96) before clinical resolution.
- CODOP's effectiveness is consistent across different virus variants and vaccination statuses, and it includes online calculators for efficient patient triage, validated through extensive testing in Latin America.
Objective: To analyze whether changes in medical care due to the application of COVID-19 protocols affected clinical outcomes in patients without COVID-19 during the pandemic.
Methods: This was a retrospective, observational cohort study carried out in a thirty-eight-bed surgical and medical intensive care unit of a high complexity private hospital. Patients with respiratory failure admitted to the intensive care unit during March and April 2020 and the same months in 2019 were selected.