View in EDS PDF Full Text

Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.

Saved in:
Bibliographic Details
Title: Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.
Authors: Cedeno JA; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil. Electronic address: jalejo.94@gmail.com., Strabelli TMV; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Besen BAMP; Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Souza RF; Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARPUSP), Universidade de São Paulo, SP, Brazil., Sierra DB; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., de Souza LRG; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Gallafrio ST; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil., Abboud CS; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil., Feriani D; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil., Siciliano RF; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
Source: The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases [Braz J Infect Dis] 2025 Mar-Apr; Vol. 29 (2), pp. 104510. Date of Electronic Publication: 2025 Feb 21.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier Editora Country of Publication: Brazil NLM ID: 9812937 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1678-4391 (Electronic) Linking ISSN: 14138670 NLM ISO Abbreviation: Braz J Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39985931
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Cedeno+JA%22">Cedeno JA</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil. Electronic address: jalejo.94@gmail.com.<br /><searchLink fieldCode="AU" term="%22Strabelli+TMV%22">Strabelli TMV</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Besen+BAMP%22">Besen BAMP</searchLink>; Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Souza+RF%22">Souza RF</searchLink>; Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARPUSP), Universidade de São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Sierra+DB%22">Sierra DB</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Souza+LRG%22">de Souza LRG</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Gallafrio+ST%22">Gallafrio ST</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Abboud+CS%22">Abboud CS</searchLink>; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil.<br /><searchLink fieldCode="AU" term="%22Feriani+D%22">Feriani D</searchLink>; Instituto Dante Pazzanese de Cardiologia, São Paulo, Brazil.<br /><searchLink fieldCode="AU" term="%22Siciliano+RF%22">Siciliano RF</searchLink>; Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, Brazil.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229812937%22">The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases</searchLink> [Braz J Infect Dis] 2025 Mar-Apr; Vol. 29 (2), pp. 104510. <i>Date of Electronic Publication: </i>2025 Feb 21.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Validation Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Editora%22">Elsevier Editora </searchLink><i>Country of Publication: </i>Brazil <i>NLM ID: </i>9812937 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1678-4391 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214138670%22">14138670 </searchLink><i>NLM ISO Abbreviation: </i>Braz J Infect Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39985931
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.bjid.2025.104510
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 104510
    Titles:
      – TitleFull: Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Cedeno JA
      – PersonEntity:
          Name:
            NameFull: Strabelli TMV
      – PersonEntity:
          Name:
            NameFull: Besen BAMP
      – PersonEntity:
          Name:
            NameFull: Souza RF
      – PersonEntity:
          Name:
            NameFull: Sierra DB
      – PersonEntity:
          Name:
            NameFull: de Souza LRG
      – PersonEntity:
          Name:
            NameFull: Gallafrio ST
      – PersonEntity:
          Name:
            NameFull: Abboud CS
      – PersonEntity:
          Name:
            NameFull: Feriani D
      – PersonEntity:
          Name:
            NameFull: Siciliano RF
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: 2025 Mar-Apr
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1678-4391
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
              Type: main
ResultId 1