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Fully independent external validation of the Transcatheter Aortic Valve Replacement 30-day (TAVR-30) hospital readmission model

Nilsson, Konrad (author)
Uppsala universitet,Institutionen för medicinska vetenskaper
Buccheri, Sergio (author)
Uppsala universitet,Institutionen för medicinska vetenskaper
Lindbäck, Johan (author)
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Sarno, Giovanna (author)
Uppsala universitet,Institutionen för medicinska vetenskaper
James, Stefan, 1964- (author)
Uppsala universitet,Institutionen för medicinska vetenskaper
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 (creator_code:org_t)
Elsevier, 2023
2023
English.
In: Cardiovascular Revascularization Medicine. - : Elsevier. - 1553-8389 .- 1878-0938. ; 56, s. 9-15
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: Early and late readmissions after Transcatheter Aortic Valve Replacement (TAVR) are common and associated with worse outcome. A risk prediction model (TAVR-30) was recently developed using readily available clinical variables to identify patients at risk for hospital readmission within 30 days after TAVR. We performed an independent external validation of the TAVR-30 model.Methods: The Swedish TAVR-registry, linked together with other mandatory national registries was used to identify all TAVR procedures, variables from the original model, hospitalizations and deaths between the years 2008 to 2021.Results: A total of 8459 patients underwent TAVR, 7693 patients had complete data and were included in the analysis. Out of these, 928 patients experienced a readmission within 30 days. Using the estimates from the original model, a concordance (c)-index of 0.51, a calibration slope of 0.07 and intercept of −0.62 were obtained respectively, overall implying poor model performance.Conclusions: This independent external validation indicates poor performance of the TAVR-30 model in a Swedish setting. Further research is needed to develop more reliable tools for predicting the risk of early hospital readmission after TAVR, as well as, for providing a deeper understanding of how to develop risk models that performs well in patients with multiple underlying comorbidities.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Keyword

TAVI
TAVR
Aortic Stenosis
Prediction model
Validation
Cardiology
Kardiologi

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ref (subject category)
art (subject category)

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Nilsson, Konrad
Buccheri, Sergio
Lindbäck, Johan
Sarno, Giovanna
James, Stefan, 1 ...
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
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Cardiovascular R ...
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Uppsala University

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