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<p>This study aimed to assess the prognostic impact of plasma albumin (PA) and C-reactive protein (CRP), measured up to 30 days before a bloodstream infection (BSI), on 30-day mortality risk using nomogram models. Two cohorts comprising 5,221 inpatients from Singapore (SG) and 15,710 from Denmark (DK) with first-time BSIs were included from 2006 to 2016. Using multivariable logistic regression models, we analyzed the association between CRP and PA measured at different time-points (segmented into 5-day intervals, up to 30 days before the day of BSI (D0), and on D0) and 30-day mortality. Moreover, nomogram models assessed the relative attributions of PA and CRP to 30-day mortality risk. Both cohorts had similar 30-day mortality rates (SG: 17.4%, DK: 20.2%). Correlation coefficients between PA on D0 and PA in all 5-day intervals were high (range: 0.55/0.75) whereas it was only high between CRP on D0, and CRP measured 1–5 days before D0. In nomogram models, PA contributed most to the prognostic predictability (from 20 to 55%) whereas CRP contributed little (from 0.5 to 9%) regardless of time interval from D0. Albumin, measured up to 30 days before a BSI episode, was a strong prognosticator of 30-day mortality. Nomogram models enable rapid evaluation of a patient’s prognosis.</p>

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Nomogram-based analysis of plasma albumin and C-reactive protein 30 days before bloodstream infection for 30-day mortality in Singapore and Denmark

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月13日

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  • Zhi Jing Phua,
  • Aung Hein Aung,
  • Sim Patrick Jian Wei,
  • John Eugenio Coia,
  • Ming Chen,
  • Stig Lønberg Nielsen,
  • Thøger Gorm Jensen,
  • Jens Kjølseth Møller,
  • Ram Benny Dessau,
  • Pedro Póvoa,
  • Kim Oren Gradel,
  • Angela Chow

摘要

This study aimed to assess the prognostic impact of plasma albumin (PA) and C-reactive protein (CRP), measured up to 30 days before a bloodstream infection (BSI), on 30-day mortality risk using nomogram models. Two cohorts comprising 5,221 inpatients from Singapore (SG) and 15,710 from Denmark (DK) with first-time BSIs were included from 2006 to 2016. Using multivariable logistic regression models, we analyzed the association between CRP and PA measured at different time-points (segmented into 5-day intervals, up to 30 days before the day of BSI (D0), and on D0) and 30-day mortality. Moreover, nomogram models assessed the relative attributions of PA and CRP to 30-day mortality risk. Both cohorts had similar 30-day mortality rates (SG: 17.4%, DK: 20.2%). Correlation coefficients between PA on D0 and PA in all 5-day intervals were high (range: 0.55/0.75) whereas it was only high between CRP on D0, and CRP measured 1–5 days before D0. In nomogram models, PA contributed most to the prognostic predictability (from 20 to 55%) whereas CRP contributed little (from 0.5 to 9%) regardless of time interval from D0. Albumin, measured up to 30 days before a BSI episode, was a strong prognosticator of 30-day mortality. Nomogram models enable rapid evaluation of a patient’s prognosis.