KATIA REGINA DA SILVA
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina
3 resultados
Resultados de Busca
Agora exibindo 1 - 3 de 3
- Impact of the COVID-19 Pandemic on Cardiac Implantable Electronic Devices Procedures in a Tertiary Referral Center(2021) COSTA, Roberto; SILVA, Katia Regina da; SAUCEDO, Sarah Caroline Martins; SILVA, Laisa Arruda; CREVELARI, Elizabeth Sartori; NASCIMENTO, Wagner Tadeu Jurevicius; SILVEIRA, Thiago Goncalves; FIORELLI, Alfredo; MARTINELLI FILHO, Martino; JATENE, Fabio Biscegli
- The impact of data quality monitoring of a multicenter prospective registry of cardiac implantable electronic devices(2023) SAUCEDO, Sarah Caroline Martins; SILVA, Katia Regina; SILVA, Laisa de Arruda; CRIVELARI, Jessica Moretto; COSTA, RobertoData quality monitoring plays a crucial role in multicenter prospective registries. By maintaining high data accuracy, completeness, and consistency, researchers can improve the overall quality and reliability of the registry data, enabling meaningful conclusions and supporting evidencebased decisions. The purpose of the present study was to evaluate data quality metrics (completeness, accuracy, and temporal plausibility) of a Multicenter Registry of Cardiac Implantable Electronic Devices (CIEDs) and to perform a direct data audit of a random sample of records to assess the agreement levels with the source documents. The CIED Registry was a prospective, multicenter, real-world observational study carried out from January 2020 to December 2022 in five designated centers across Sao Paulo, Brazil. We assessed the data quality of the CIED Registry by using two distinct approaches: center dot Dynamic data monitoring using features of the REDCap (Research Electronic Data Capture) software, including data reports and data quality rules center dot Direct data audit in which information from a random sample of 10 % of cases from the coordinating center was compared with original source documents Our findings suggest that the methodological approach applied to the CIED Registry resulted in high data completeness, accuracy, temporal plausibility, and excellent agreement levels with the source documents.
- Predictors of Quality of Life, Anxiety and Acceptance in Patients with Implantable Cardioverter-Defibrillator(2024) SILVA, Laisa Arruda; SILVA, Katia Regina; SAUCEDO, Sarah Caroline Martins; COSTA, RobertoBackground: An implantable cardioverter-defibrillator (ICD) can cause high levels of anxiety and depression, resulting in negative effects on quality of life. Objectives: To evaluate the quality of life, anxiety, and acceptance of the ICD using standardized measurement instruments and identify predictors of better responses for each of the outcomes studied. Method: This is a prospective cohort study with patients undergoing initial ICD implantation or reoperation to maintain the device. The study outcomes included quality of life, anxiety, and acceptance of the ICD. The change in scores (30 and 180 days) was assessed using the minimal important difference (MID). Univariate analysis and the multivariate logistic regression model were used to identify predictors of better responses, adopting a significance level of 5%. Results: A total of 147 patients were included between January/2020 to June/2021, with a mean age of 55.3 +/- 13.4 years and a predominance of males (72.1%). The MID for quality of life, anxiety, and ICD acceptance were observed in 33 (22.4%), 36 (24.5%) and 43 (29.3%) patients, respectively. Age equal to or greater than 60 years (OR=2.5; 95%CI=1.14-5.53; p=0.022), absence of atrial fibrillation (OR=3.8; 95%CI=1.26-11.63; p=0.017) and female gender (OR=2.2; 95%CI=1.02-4.97; p=0.045) were independent predictors of better responses to quality of life, anxiety and acceptance of the ICD, respectively. Conclusion: The identification of predictors for better quality of life scores, anxiety, and acceptance of the device can support the implementation of specific care for patients with a greater chance of presenting unfavorable results.