Publications by authors named "Raquel Lutkmeier"
Corrigendum: Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit.
Front Med (Lausanne)
January 2024
[This corrects the article DOI: 10.3389/fmed.2023.
View Article and Find Full Text PDFAssessment of the ABC-SPH risk score to predict invasive mechanical ventilation in COVID-19 patients and comparison to other scores.
Front Med (Lausanne)
November 2023
Article Synopsis
- The study aimed to evaluate the ABC-SPH score's ability to predict invasive mechanical ventilation (IMV) needs in COVID-19 patients and compare it to other existing predictive scores.
- Researchers conducted a retrospective analysis involving 9,350 adult COVID-19 patients across 32 hospitals in Brazil, focusing on data from 2020 to 2022 to assess and recalibrate the ABC-SPH score.
- Results showed that the ABC-SPH score outperformed other scores like CURB-65 and STSS in predicting IMV, particularly in patients under 80, and recalibration efforts significantly improved its prediction accuracy.
Objectives: To assess the ABC-SPH score in predicting COVID-19 in-hospital mortality, during intensive care unit (ICU) admission, and to compare its performance with other scores (SOFA, SAPS-3, NEWS2, 4C Mortality Score, SOARS, CURB-65, modified CHA2DS2-VASc, and a novel severity score).
Materials And Methods: Consecutive patients (≥ 18 years) with laboratory-confirmed COVID-19 admitted to ICUs of 25 hospitals, located in 17 Brazilian cities, from October 2020 to March 2022, were included. Overall performance of the scores was evaluated using the Brier score.
Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.
Sci Rep
March 2023
The majority of early prediction scores and methods to predict COVID-19 mortality are bound by methodological flaws and technological limitations (e.g., the use of a single prediction model).
View Article and Find Full Text PDFIntroduction: With the COVID-19 pandemic, hospitals in low-income countries were faced with a triple challenge. First, a large number of patients required hospitalisation because of the infection's more severe symptoms. Second, there was a lack of systematic and broad testing policies for early identification of cases.
View Article and Find Full Text PDFAdult patients admitted to a tertiary hospital for COVID-19 and risk factors associated with severity: a retrospective cohort study.
Rev Inst Med Trop Sao Paulo
March 2022
COVID-19 is a disease whose knowledge is still under construction, high transmissibility, with no consensual treatment available to everyone. Therefore, the identification of patients at higher risk of evolving to the critical form of the disease is fundamental. The study aimed to determine risk factors associated with the severity of COVID-19 in adults patients.
View Article and Find Full Text PDFArticle Synopsis
- Many existing mortality risk scores for COVID-19 patients have high bias, prompting the need for a more reliable evaluation tool.
- A new prediction model was developed using data from nearly 4,000 COVID-19 patients, identifying seven key variables that indicate in-hospital mortality risk.
- This model showed strong accuracy in predicting outcomes and is accessible through an online calculator for healthcare professionals.*
Transversal study aiming to evaluate the predominance of risk factor (RF) regarding to coronary artery disease (CAD) in patients submitted to cardiac procedures in hemodynamic unit. The study encloses 302 patients of 62 +/- 11-years-old, 270 (89%) predominantly white and 172 (57%) male. The most prevalent RF was 227 (75%) sedentism, followed by 220 (73%) arterial hypertension, 150 (50,5%) dyslipidemia, 87 (29%) obesity, 81 (27%) diabetes mellitus, 77 (25,5%) smoking, 67 (22%) alcohol and 15 (5%) diet poor of fruits and vegetables.
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