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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="tb0005"></elsevierMultimedia></p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Abstract</span><p id="par0015" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Importance&#58;</span> Patient selection for transcatheter aortic valve replacement &#40;TAVR&#41; should include assessment of the risks of TAVR compared with surgical aortic valve replacement &#40;SAVR&#41;&#46; Existing SAVR risk models accurately predict the risks for the population undergoing SAVR&#44; but comparable models to predict risk for patients undergoing TAVR are currently not available and should be derived from a population that underwent TAVR&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Objective&#58;</span> To use a national population of patients undergoing TAVR to develop a statistical model that will predict in&#8208;hospital mortality after TAVR&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Design&#44; Setting&#44; and Participants&#58;</span> Patient data were obtained from the Society of Thoracic Surgeons&#47;American College of Cardiology Transcatheter Valve Therapy &#40;STS&#47;ACC TVT&#41; Registry&#46; The model was developed from 13718 consecutive US patients undergoing TAVR in centers participating in the STS&#47;ACC TVT Registry from November 1&#44; 2011&#44; to February 28&#44; 2014&#46; Validation was conducted using 6868 records of consecutive patients undergoing TAVR from March 1 to October 8&#44; 2014&#46; Covariates were selected through a process of expert opinion and statistical analysis&#46; The association between in&#8208;hospital mortality and baseline covariates was estimated using logistic regression&#46; The final set of predictors was selected via stepwise variable selection&#46; Data were collected and analyzed from November 1&#44; 2011&#44; to February 28&#44; 2014&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Main Outcomes and Measures&#58;</span> In&#8208;hospital TAVR mortality&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Results&#58;</span> The development sample included 13718 patient records from 265 participant sites &#40;of 13 672 with data available&#44; 6680 men &#91;48&#46;9&#37;&#93;&#59; 6992 women &#91;51&#46;1&#37;&#93;&#59; mean &#91;SD&#93; age&#44; 82&#46;1 &#91;8&#46;3&#93; years&#41;&#46; The final validation cohort included 6868 patients from 314 participating centers &#40;3554 men &#91;51&#46;7&#37;&#93;&#59; 3314 women &#91;48&#46;3&#37;&#93;&#59; mean &#91;SD&#93; age&#44; 81&#46;6 &#91;8&#46;8&#93; years&#41;&#46; In&#8208;hospital mortality occurred in 730 patients &#40;5&#46;3&#37;&#41;&#46; The <span class="elsevierStyleSmallCaps">C</span> statistic for discrimination was 0&#46;67 &#40;95&#37; CI&#44; 0&#46;65&#8208;0&#46;69&#41; in the development group and 0&#46;66 &#40;95&#37; CI&#44; 0&#46;62&#8208;0&#46;69&#41; in the validation group&#46; The final model covariates &#40;reported as odds ratios&#59; 95&#37; CIs&#41; were age &#40;1&#46;13&#59; 1&#46;06&#8208;1&#46;20&#41;&#44; glomerular filtration rate per 5&#8208;U increments &#40;0&#46;93&#59; 0&#46;91&#8208;0&#46;95&#41;&#44; hemodialysis &#40;3&#46;25&#59; 2&#46;42&#8208;4&#46;37&#41;&#44; New York Heart Association functional class <span class="elsevierStyleSmallCaps">IV</span> &#40;1&#46;25&#59; 1&#46;03&#8208;1&#46;52&#41;&#44; severe chronic lung disease &#40;1&#46;67&#59; 1&#46;35&#8208;2&#46;05&#41;&#44; nonfemoral access site &#40;1&#46;96&#59; 1&#46;65&#8208; 2&#46;33&#41;&#44; and procedural acuity categories 2 &#40;1&#46;57&#59; 1&#46;20&#8208;2&#46;05&#41;&#44; 3 &#40;2&#46;70&#59; 2&#46;05&#8208;3&#46;55&#41;&#44; and 4 &#40;3&#46;34&#59; 1&#46;59&#8208;7&#46;02&#41;&#46; Calibration analysis demonstrated no significant difference between the model &#40;predicted vs observed&#41; calibration line &#40;&#8722;0&#46;18 and 0&#46;97 for intercept and slope&#44; respectively&#41; compared with the ideal calibration line&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Conclusions and Relevance&#58;</span> Data from the STS&#47;ACC TVT Registry have been used to develop a predictive model of in&#8208;hospital mortality for patients undergoing TAVR&#46; Validation based on a population of patient records not used in model development demonstrates discrimination and calibration indices that are more favorable than other models used in populations with TAVR&#46; This model should be a valuable adjunct for patient counseling&#44; local quality improvement&#44; and national monitoring for appropriateness of selection of patients for TAVR&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Coment&#225;rio</span><p id="par0045" class="elsevierStylePara elsevierViewall">Na edi&#231;&#227;o de abril de 2016 do <span class="elsevierStyleItalic">JAMA Cardiology</span>&#44; Edwards e associados<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">1</span></a> publicam um estudo que teve como objetivo construir um modelo de predi&#231;&#227;o de risco para mortalidade intra&#8208;hospitalar na popula&#231;&#227;o norte&#8208;americana submetida a implanta&#231;&#227;o transcateter da v&#225;lvula a&#243;rtica &#40;TAVI&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Os dados dos doentes inclu&#237;dos no estudo provieram do registo nacional norte&#8208;americano &#171;<span class="elsevierStyleItalic">The STS&#8208;ACC Transcatheter Valve Therapy National Registry</span>&#187;&#46; O modelo foi desenvolvido com dados de 13 718 doentes submetidos consecutivamente a TAVI entre novembro de 2011 e fevereiro de 2014&#59; a valida&#231;&#227;o do modelo foi realizada em 6868 doentes tratados entre mar&#231;o e outubro de 2014&#46; De entre um conjunto de 39 vari&#225;veis pr&#233;&#8208;operat&#243;rias existentes na base de dados&#44; 14 foram selecionadas para an&#225;lise <span class="elsevierStyleItalic">via expert consensus</span>&#44; e&#44; finalmente&#44; nove destas vari&#225;veis foram retidas no modelo final utilizando metodologia estat&#237;stica anal&#237;tica&#46; O poder discriminat&#243;rio do modelo &#233; ligeiro &#40;a &#225;rea abaixo da curva ROC foi de 0&#44;67 no grupo de desenvolvimento e de 0&#44;66 no grupo de valida&#231;&#227;o&#41;&#46; Estes resultados atestam a limitada capacidade discriminativa neste grupo de doentes&#46; Mesmo os &#171;melhores&#187; modelos de risco dispon&#237;veis explicam apenas uma pequena propor&#231;&#227;o da variabilidade dos resultados&#46; &#201; por esta raz&#227;o que as mais recentes recomenda&#231;&#245;es enfatizam que a avalia&#231;&#227;o do risco deve apoiar&#8208;se essencialmente na avalia&#231;&#227;o cl&#237;nica<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">2&#44;3</span></a>&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Um conjunto de limita&#231;&#245;es ao estudo merece reflex&#227;o&#46; Algumas s&#227;o elencadas pelos autores&#44; nomeadamente&#58; dados em falta&#44; um processo de auditoria incompleto&#44; aus&#234;ncia de indicadores de fragilidade e de qualidade de vida e o facto de terem restringido a um per&#237;odo temporal muito curto a an&#225;lise da mortalidade&#46; Penso que&#44; a esta lista deveriam ter sido adicionados outros aspetos tais como&#58; aus&#234;ncia de informa&#231;&#227;o relativamente a complica&#231;&#245;es <span class="elsevierStyleItalic">major</span>&#44; quer card&#237;aca quer n&#227;o card&#237;aca&#44; bem como informa&#231;&#227;o adicional clarificadora relativamente ao modo como as vari&#225;veis foram selecionadas para an&#225;lise <span class="elsevierStyleItalic">via expert consensus</span>&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Conflito de interesses</span><p id="par0060" class="elsevierStylePara elsevierViewall">O autor declara n&#227;o haver conflito de interesses&#46;</p></span></span>"
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Comentário a «Desenvolvimento e validação de um modelo de predição de risco para mortalidade intra‐hospitalar em doentes submetidos a implantação transcateter da válvula aórtica»
Comment on “Development and Validation of a Risk Prediction Model for In‐Hospital Mortality After Transcatheter Aortic Valve Replacement”
Pedro E. Antunes
Membro do Corpo Redatorial da Revista Portuguesa de Cardiologia
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        "titulo" => "Comment on &#8220;Development and Validation of a Risk Prediction Model for In&#8208;Hospital Mortality After Transcatheter Aortic Valve Replacement&#8221;"
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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall"><elsevierMultimedia ident="tb0005"></elsevierMultimedia></p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Abstract</span><p id="par0015" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Importance&#58;</span> Patient selection for transcatheter aortic valve replacement &#40;TAVR&#41; should include assessment of the risks of TAVR compared with surgical aortic valve replacement &#40;SAVR&#41;&#46; Existing SAVR risk models accurately predict the risks for the population undergoing SAVR&#44; but comparable models to predict risk for patients undergoing TAVR are currently not available and should be derived from a population that underwent TAVR&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Objective&#58;</span> To use a national population of patients undergoing TAVR to develop a statistical model that will predict in&#8208;hospital mortality after TAVR&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Design&#44; Setting&#44; and Participants&#58;</span> Patient data were obtained from the Society of Thoracic Surgeons&#47;American College of Cardiology Transcatheter Valve Therapy &#40;STS&#47;ACC TVT&#41; Registry&#46; The model was developed from 13718 consecutive US patients undergoing TAVR in centers participating in the STS&#47;ACC TVT Registry from November 1&#44; 2011&#44; to February 28&#44; 2014&#46; Validation was conducted using 6868 records of consecutive patients undergoing TAVR from March 1 to October 8&#44; 2014&#46; Covariates were selected through a process of expert opinion and statistical analysis&#46; The association between in&#8208;hospital mortality and baseline covariates was estimated using logistic regression&#46; The final set of predictors was selected via stepwise variable selection&#46; Data were collected and analyzed from November 1&#44; 2011&#44; to February 28&#44; 2014&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Main Outcomes and Measures&#58;</span> In&#8208;hospital TAVR mortality&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Results&#58;</span> The development sample included 13718 patient records from 265 participant sites &#40;of 13 672 with data available&#44; 6680 men &#91;48&#46;9&#37;&#93;&#59; 6992 women &#91;51&#46;1&#37;&#93;&#59; mean &#91;SD&#93; age&#44; 82&#46;1 &#91;8&#46;3&#93; years&#41;&#46; The final validation cohort included 6868 patients from 314 participating centers &#40;3554 men &#91;51&#46;7&#37;&#93;&#59; 3314 women &#91;48&#46;3&#37;&#93;&#59; mean &#91;SD&#93; age&#44; 81&#46;6 &#91;8&#46;8&#93; years&#41;&#46; In&#8208;hospital mortality occurred in 730 patients &#40;5&#46;3&#37;&#41;&#46; The <span class="elsevierStyleSmallCaps">C</span> statistic for discrimination was 0&#46;67 &#40;95&#37; CI&#44; 0&#46;65&#8208;0&#46;69&#41; in the development group and 0&#46;66 &#40;95&#37; CI&#44; 0&#46;62&#8208;0&#46;69&#41; in the validation group&#46; The final model covariates &#40;reported as odds ratios&#59; 95&#37; CIs&#41; were age &#40;1&#46;13&#59; 1&#46;06&#8208;1&#46;20&#41;&#44; glomerular filtration rate per 5&#8208;U increments &#40;0&#46;93&#59; 0&#46;91&#8208;0&#46;95&#41;&#44; hemodialysis &#40;3&#46;25&#59; 2&#46;42&#8208;4&#46;37&#41;&#44; New York Heart Association functional class <span class="elsevierStyleSmallCaps">IV</span> &#40;1&#46;25&#59; 1&#46;03&#8208;1&#46;52&#41;&#44; severe chronic lung disease &#40;1&#46;67&#59; 1&#46;35&#8208;2&#46;05&#41;&#44; nonfemoral access site &#40;1&#46;96&#59; 1&#46;65&#8208; 2&#46;33&#41;&#44; and procedural acuity categories 2 &#40;1&#46;57&#59; 1&#46;20&#8208;2&#46;05&#41;&#44; 3 &#40;2&#46;70&#59; 2&#46;05&#8208;3&#46;55&#41;&#44; and 4 &#40;3&#46;34&#59; 1&#46;59&#8208;7&#46;02&#41;&#46; Calibration analysis demonstrated no significant difference between the model &#40;predicted vs observed&#41; calibration line &#40;&#8722;0&#46;18 and 0&#46;97 for intercept and slope&#44; respectively&#41; compared with the ideal calibration line&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Conclusions and Relevance&#58;</span> Data from the STS&#47;ACC TVT Registry have been used to develop a predictive model of in&#8208;hospital mortality for patients undergoing TAVR&#46; Validation based on a population of patient records not used in model development demonstrates discrimination and calibration indices that are more favorable than other models used in populations with TAVR&#46; This model should be a valuable adjunct for patient counseling&#44; local quality improvement&#44; and national monitoring for appropriateness of selection of patients for TAVR&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Coment&#225;rio</span><p id="par0045" class="elsevierStylePara elsevierViewall">Na edi&#231;&#227;o de abril de 2016 do <span class="elsevierStyleItalic">JAMA Cardiology</span>&#44; Edwards e associados<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">1</span></a> publicam um estudo que teve como objetivo construir um modelo de predi&#231;&#227;o de risco para mortalidade intra&#8208;hospitalar na popula&#231;&#227;o norte&#8208;americana submetida a implanta&#231;&#227;o transcateter da v&#225;lvula a&#243;rtica &#40;TAVI&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Os dados dos doentes inclu&#237;dos no estudo provieram do registo nacional norte&#8208;americano &#171;<span class="elsevierStyleItalic">The STS&#8208;ACC Transcatheter Valve Therapy National Registry</span>&#187;&#46; O modelo foi desenvolvido com dados de 13 718 doentes submetidos consecutivamente a TAVI entre novembro de 2011 e fevereiro de 2014&#59; a valida&#231;&#227;o do modelo foi realizada em 6868 doentes tratados entre mar&#231;o e outubro de 2014&#46; De entre um conjunto de 39 vari&#225;veis pr&#233;&#8208;operat&#243;rias existentes na base de dados&#44; 14 foram selecionadas para an&#225;lise <span class="elsevierStyleItalic">via expert consensus</span>&#44; e&#44; finalmente&#44; nove destas vari&#225;veis foram retidas no modelo final utilizando metodologia estat&#237;stica anal&#237;tica&#46; O poder discriminat&#243;rio do modelo &#233; ligeiro &#40;a &#225;rea abaixo da curva ROC foi de 0&#44;67 no grupo de desenvolvimento e de 0&#44;66 no grupo de valida&#231;&#227;o&#41;&#46; Estes resultados atestam a limitada capacidade discriminativa neste grupo de doentes&#46; Mesmo os &#171;melhores&#187; modelos de risco dispon&#237;veis explicam apenas uma pequena propor&#231;&#227;o da variabilidade dos resultados&#46; &#201; por esta raz&#227;o que as mais recentes recomenda&#231;&#245;es enfatizam que a avalia&#231;&#227;o do risco deve apoiar&#8208;se essencialmente na avalia&#231;&#227;o cl&#237;nica<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">2&#44;3</span></a>&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">Um conjunto de limita&#231;&#245;es ao estudo merece reflex&#227;o&#46; Algumas s&#227;o elencadas pelos autores&#44; nomeadamente&#58; dados em falta&#44; um processo de auditoria incompleto&#44; aus&#234;ncia de indicadores de fragilidade e de qualidade de vida e o facto de terem restringido a um per&#237;odo temporal muito curto a an&#225;lise da mortalidade&#46; Penso que&#44; a esta lista deveriam ter sido adicionados outros aspetos tais como&#58; aus&#234;ncia de informa&#231;&#227;o relativamente a complica&#231;&#245;es <span class="elsevierStyleItalic">major</span>&#44; quer card&#237;aca quer n&#227;o card&#237;aca&#44; bem como informa&#231;&#227;o adicional clarificadora relativamente ao modo como as vari&#225;veis foram selecionadas para an&#225;lise <span class="elsevierStyleItalic">via expert consensus</span>&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Conflito de interesses</span><p id="par0060" class="elsevierStylePara elsevierViewall">O autor declara n&#227;o haver conflito de interesses&#46;</p></span></span>"
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ISSN: 21742049
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Revista Portuguesa de Cardiologia (English edition)
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