Validation and quality measurements for STS, EuroSCORE II and a regional risk model in Brazilian patients

Objectives The objectives of this study were to describe a novel statewide registry for cardiac surgery in Brazil (REPLICCAR), to compare a regional risk model (SPScore) with EuroSCORE II and STS, and to understand where quality improvement and safety initiatives can be implemented. Methods A total...

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Veröffentlicht in:PloS one 2020-09, Vol.15 (9), p.e0238737-e0238737
Hauptverfasser: Mejia, Omar Asdrubal Vilca, Borgomoni, Gabrielle Barbosa, Zubelli, Jorge Passamani, Dallan, Luís Roberto Palma, Pomerantzeff, Pablo Maria Alberto, Oliveira, Marco Antonio Praca, Petrucci Junior, Orlando, Tiveron, Marcos Gradim, Nakazone, Marcelo Arruda, Tineli, Rafael Angelo, Campagnucci, Valquíria Pelisser, Silva, Roberto Rocha e, Rodrigues, Alfredo Jose, Gomes, Walter Jose, Lisboa, Luiz Augusto Ferreira, Jatene, Fabio Biscegli
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container_end_page e0238737
container_issue 9
container_start_page e0238737
container_title PloS one
container_volume 15
creator Mejia, Omar Asdrubal Vilca
Borgomoni, Gabrielle Barbosa
Zubelli, Jorge Passamani
Dallan, Luís Roberto Palma
Pomerantzeff, Pablo Maria Alberto
Oliveira, Marco Antonio Praca
Petrucci Junior, Orlando
Tiveron, Marcos Gradim
Nakazone, Marcelo Arruda
Tineli, Rafael Angelo
Campagnucci, Valquíria Pelisser
Silva, Roberto Rocha e
Rodrigues, Alfredo Jose
Gomes, Walter Jose
Lisboa, Luiz Augusto Ferreira
Jatene, Fabio Biscegli
description Objectives The objectives of this study were to describe a novel statewide registry for cardiac surgery in Brazil (REPLICCAR), to compare a regional risk model (SPScore) with EuroSCORE II and STS, and to understand where quality improvement and safety initiatives can be implemented. Methods A total of 11 sites in the state of São Paulo, Brazil, formed an online registry platform to capture information on risk factors and outcomes after cardiac surgery procedures for all consecutive patients. EuroSCORE II and STS values were calculated for each patient. An SPScore model was designed and compared with EuroSCORE II and STS to predict 30-day outcomes: death, reoperation, readmission, and any morbidity. Results A total of 5222 patients were enrolled in this study between November 2013 and December 2017. The observed 30-day mortality rate was 7.6%. Most patients were older, overweight, and classified as New York Heart Association (NYHA) functional class III; 14.5% of the patient population had a positive diagnosis of rheumatic heart disease, 10.9% had insulin-dependent diabetes, and 19 individuals had a positive diagnosis of Chagas disease. When evaluating the prediction performance, we found that SPScore outperformed EuroSCORE II and STS in the prediction of mortality (0.90 vs. 0.76 and 0.77), reoperation (0.84 vs. 0.60 and 0.56), readmission (0.84 vs. 0.55 and 0.51), and any morbidity (0.80 vs. 0.65 and 0.64), respectively (p
doi_str_mv 10.1371/journal.pone.0238737
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Methods A total of 11 sites in the state of São Paulo, Brazil, formed an online registry platform to capture information on risk factors and outcomes after cardiac surgery procedures for all consecutive patients. EuroSCORE II and STS values were calculated for each patient. An SPScore model was designed and compared with EuroSCORE II and STS to predict 30-day outcomes: death, reoperation, readmission, and any morbidity. Results A total of 5222 patients were enrolled in this study between November 2013 and December 2017. The observed 30-day mortality rate was 7.6%. Most patients were older, overweight, and classified as New York Heart Association (NYHA) functional class III; 14.5% of the patient population had a positive diagnosis of rheumatic heart disease, 10.9% had insulin-dependent diabetes, and 19 individuals had a positive diagnosis of Chagas disease. When evaluating the prediction performance, we found that SPScore outperformed EuroSCORE II and STS in the prediction of mortality (0.90 vs. 0.76 and 0.77), reoperation (0.84 vs. 0.60 and 0.56), readmission (0.84 vs. 0.55 and 0.51), and any morbidity (0.80 vs. 0.65 and 0.64), respectively (p&lt;0.001). Conclusions The REPLICCAR registry might stimulate the creation of other cardiac surgery registries in developing countries, ultimately improving the regional quality of care provided to patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0238737</identifier><identifier>PMID: 32911513</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Biology and Life Sciences ; Body weight ; Cardiovascular diseases ; Chagas disease ; Coronary artery disease ; Coronary vessels ; Data collection ; Data dictionaries ; Developing countries ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Diagnosis ; Evaluation ; Health risk assessment ; Health risks ; Heart diseases ; Heart surgery ; Hospitals ; Insulin ; LDCs ; Medical care quality ; Medical research ; Medicine and Health Sciences ; Methods ; Morbidity ; Mortality ; Overweight ; Patient outcomes ; Patient safety ; People and places ; Pulmonary arteries ; Quality ; Quality control ; Regional development ; Registries (Medicine) ; Researchers ; Rheumatic heart disease ; Risk analysis ; Risk factors ; Surgery ; Thoracic surgery ; Vector-borne diseases ; Veins &amp; arteries</subject><ispartof>PloS one, 2020-09, Vol.15 (9), p.e0238737-e0238737</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Mejia et al. 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Methods A total of 11 sites in the state of São Paulo, Brazil, formed an online registry platform to capture information on risk factors and outcomes after cardiac surgery procedures for all consecutive patients. EuroSCORE II and STS values were calculated for each patient. An SPScore model was designed and compared with EuroSCORE II and STS to predict 30-day outcomes: death, reoperation, readmission, and any morbidity. Results A total of 5222 patients were enrolled in this study between November 2013 and December 2017. The observed 30-day mortality rate was 7.6%. Most patients were older, overweight, and classified as New York Heart Association (NYHA) functional class III; 14.5% of the patient population had a positive diagnosis of rheumatic heart disease, 10.9% had insulin-dependent diabetes, and 19 individuals had a positive diagnosis of Chagas disease. When evaluating the prediction performance, we found that SPScore outperformed EuroSCORE II and STS in the prediction of mortality (0.90 vs. 0.76 and 0.77), reoperation (0.84 vs. 0.60 and 0.56), readmission (0.84 vs. 0.55 and 0.51), and any morbidity (0.80 vs. 0.65 and 0.64), respectively (p&lt;0.001). Conclusions The REPLICCAR registry might stimulate the creation of other cardiac surgery registries in developing countries, ultimately improving the regional quality of care provided to patients.</description><subject>Biology and Life Sciences</subject><subject>Body weight</subject><subject>Cardiovascular diseases</subject><subject>Chagas disease</subject><subject>Coronary artery disease</subject><subject>Coronary vessels</subject><subject>Data collection</subject><subject>Data dictionaries</subject><subject>Developing countries</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diagnosis</subject><subject>Evaluation</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Heart diseases</subject><subject>Heart surgery</subject><subject>Hospitals</subject><subject>Insulin</subject><subject>LDCs</subject><subject>Medical care quality</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Overweight</subject><subject>Patient outcomes</subject><subject>Patient safety</subject><subject>People and places</subject><subject>Pulmonary arteries</subject><subject>Quality</subject><subject>Quality control</subject><subject>Regional development</subject><subject>Registries (Medicine)</subject><subject>Researchers</subject><subject>Rheumatic heart disease</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Surgery</subject><subject>Thoracic surgery</subject><subject>Vector-borne diseases</subject><subject>Veins &amp; 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Borgomoni, Gabrielle Barbosa ; Zubelli, Jorge Passamani ; Dallan, Luís Roberto Palma ; Pomerantzeff, Pablo Maria Alberto ; Oliveira, Marco Antonio Praca ; Petrucci Junior, Orlando ; Tiveron, Marcos Gradim ; Nakazone, Marcelo Arruda ; Tineli, Rafael Angelo ; Campagnucci, Valquíria Pelisser ; Silva, Roberto Rocha e ; Rodrigues, Alfredo Jose ; Gomes, Walter Jose ; Lisboa, Luiz Augusto Ferreira ; Jatene, Fabio Biscegli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-53f57c8c2878f6d7fcf8c973b59c05753fe580127395fe46cda0d4480864323d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biology and Life Sciences</topic><topic>Body weight</topic><topic>Cardiovascular diseases</topic><topic>Chagas disease</topic><topic>Coronary artery disease</topic><topic>Coronary vessels</topic><topic>Data collection</topic><topic>Data dictionaries</topic><topic>Developing countries</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diagnosis</topic><topic>Evaluation</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Heart diseases</topic><topic>Heart surgery</topic><topic>Hospitals</topic><topic>Insulin</topic><topic>LDCs</topic><topic>Medical care quality</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>Overweight</topic><topic>Patient outcomes</topic><topic>Patient safety</topic><topic>People and places</topic><topic>Pulmonary arteries</topic><topic>Quality</topic><topic>Quality control</topic><topic>Regional development</topic><topic>Registries (Medicine)</topic><topic>Researchers</topic><topic>Rheumatic heart disease</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Surgery</topic><topic>Thoracic surgery</topic><topic>Vector-borne diseases</topic><topic>Veins &amp; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mejia, Omar Asdrubal Vilca</au><au>Borgomoni, Gabrielle Barbosa</au><au>Zubelli, Jorge Passamani</au><au>Dallan, Luís Roberto Palma</au><au>Pomerantzeff, Pablo Maria Alberto</au><au>Oliveira, Marco Antonio Praca</au><au>Petrucci Junior, Orlando</au><au>Tiveron, Marcos Gradim</au><au>Nakazone, Marcelo Arruda</au><au>Tineli, Rafael Angelo</au><au>Campagnucci, Valquíria Pelisser</au><au>Silva, Roberto Rocha e</au><au>Rodrigues, Alfredo Jose</au><au>Gomes, Walter Jose</au><au>Lisboa, Luiz Augusto Ferreira</au><au>Jatene, Fabio Biscegli</au><au>Deo, Salil</au><aucorp>REPLICCAR Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation and quality measurements for STS, EuroSCORE II and a regional risk model in Brazilian patients</atitle><jtitle>PloS one</jtitle><date>2020-09-10</date><risdate>2020</risdate><volume>15</volume><issue>9</issue><spage>e0238737</spage><epage>e0238737</epage><pages>e0238737-e0238737</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Objectives The objectives of this study were to describe a novel statewide registry for cardiac surgery in Brazil (REPLICCAR), to compare a regional risk model (SPScore) with EuroSCORE II and STS, and to understand where quality improvement and safety initiatives can be implemented. Methods A total of 11 sites in the state of São Paulo, Brazil, formed an online registry platform to capture information on risk factors and outcomes after cardiac surgery procedures for all consecutive patients. EuroSCORE II and STS values were calculated for each patient. An SPScore model was designed and compared with EuroSCORE II and STS to predict 30-day outcomes: death, reoperation, readmission, and any morbidity. Results A total of 5222 patients were enrolled in this study between November 2013 and December 2017. The observed 30-day mortality rate was 7.6%. Most patients were older, overweight, and classified as New York Heart Association (NYHA) functional class III; 14.5% of the patient population had a positive diagnosis of rheumatic heart disease, 10.9% had insulin-dependent diabetes, and 19 individuals had a positive diagnosis of Chagas disease. When evaluating the prediction performance, we found that SPScore outperformed EuroSCORE II and STS in the prediction of mortality (0.90 vs. 0.76 and 0.77), reoperation (0.84 vs. 0.60 and 0.56), readmission (0.84 vs. 0.55 and 0.51), and any morbidity (0.80 vs. 0.65 and 0.64), respectively (p&lt;0.001). Conclusions The REPLICCAR registry might stimulate the creation of other cardiac surgery registries in developing countries, ultimately improving the regional quality of care provided to patients.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32911513</pmid><doi>10.1371/journal.pone.0238737</doi><tpages>e0238737</tpages><orcidid>https://orcid.org/0000-0002-9243-7407</orcidid><orcidid>https://orcid.org/0000-0003-3419-9487</orcidid><orcidid>https://orcid.org/0000-0002-0449-7056</orcidid><orcidid>https://orcid.org/0000-0002-1635-4984</orcidid><oa>free_for_read</oa></addata></record>
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source DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Biology and Life Sciences
Body weight
Cardiovascular diseases
Chagas disease
Coronary artery disease
Coronary vessels
Data collection
Data dictionaries
Developing countries
Diabetes mellitus
Diabetes mellitus (insulin dependent)
Diagnosis
Evaluation
Health risk assessment
Health risks
Heart diseases
Heart surgery
Hospitals
Insulin
LDCs
Medical care quality
Medical research
Medicine and Health Sciences
Methods
Morbidity
Mortality
Overweight
Patient outcomes
Patient safety
People and places
Pulmonary arteries
Quality
Quality control
Regional development
Registries (Medicine)
Researchers
Rheumatic heart disease
Risk analysis
Risk factors
Surgery
Thoracic surgery
Vector-borne diseases
Veins & arteries
title Validation and quality measurements for STS, EuroSCORE II and a regional risk model in Brazilian patients
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