Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia

Scoring systems based on assessment of disease severity and patient condition are widely used for routing and predicting length of stay in the ICU. However, their effectiveness varies in patients with sepsis.The aim of the study. To evaluate the effectiveness of scoring systems in routing and predic...

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Main Authors: Irina A. Ruslyakova, Elvina Z. Shamsutdinova, Galina A. Mityuchenko, Alexandra O. Orlova, Elena B. Avalueva
Format: Article
Language:English
Published: Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia 2025-02-01
Series:Общая реаниматология
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Online Access:https://www.reanimatology.com/rmt/article/view/2457
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author Irina A. Ruslyakova
Elvina Z. Shamsutdinova
Galina A. Mityuchenko
Alexandra O. Orlova
Elena B. Avalueva
author_facet Irina A. Ruslyakova
Elvina Z. Shamsutdinova
Galina A. Mityuchenko
Alexandra O. Orlova
Elena B. Avalueva
author_sort Irina A. Ruslyakova
collection DOAJ
description Scoring systems based on assessment of disease severity and patient condition are widely used for routing and predicting length of stay in the ICU. However, their effectiveness varies in patients with sepsis.The aim of the study. To evaluate the effectiveness of scoring systems in routing and predicting ICU length of stay in patients with severe community-acquired pneumonia (CAP).Materials and methods. Medical records of 664 patients from the Intensive Care for Severe CAP database of I. I. Mechnikov Northwestern State Medical University (2013–2023) were analyzed using the following scoring scales: CURB-65, PSI/PORT, SMART-COP, SCAP, REA-ICU, NEWS2, IDSA/ATS criteria, APACHE IV, CFS, and CCI. Statistical analysis was performed using Statistica 10.0, SPSS, and Stat Research (Center for Statistical Research) software.Results. Among the study cohort, 96 patients (15%) had bacterial severe CAP (bCAP) and 568 patients (85%) had viral severe CAP (vCAP), all of whom were admitted to the ICU. A NEWS2 score ≥2 was observed in 74 (77.1%) bCAP patients and all vCAP patients (P<0.001). In contrast, 437 (76.9%) vCAP patients and 74 (77.1%) bCAP patients were classified as high risk according to SMART-COP (P=0.966). Delayed ICU admission (>7 days) was observed in older patients with severe bCAP, but did not significantly affect ICU length of stay or outcomes. A strong correlation was found between adverse outcome and predicted mortality using APACHE IV (η=0.966 for vCAP and η=0.807 for bCAP). However, no correlation was observed between predicted and actual ICU length of stay for both vCAP and bCAP patients (R²=0.0257, Kendall's W=0.018 for vCAP; R²=0.0294, Kendall's W=0.050 for bCAP). The predictive model accuracy for ICU stay >1 day or >14 days was not satisfactory. Model with vCAP patients adjusted for age (≥60 years) and APACHE IV exhibited moderate predictive accuracy for prolonged ICU stay (AUROC 0.610).Conclusion. Differences were found in the applicability of the NEWS2, REA-ICU, and IDSA/ATS major criteria scoring systems for ICU routing of bCAP and vCAP patients. APACHE IV showed a strong correlation between predicted and actual mortality, but no correlation between predicted and actual ICU length of stay in severe CAP patients was found.
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spelling doaj-art-7651d8aaace140119e6515b962ca76e62025-08-20T02:59:35ZengFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, RussiaОбщая реаниматология1813-97792411-71102025-02-01211384810.15360/1813-9779-2025-1-38-481984Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired PneumoniaIrina A. Ruslyakova0Elvina Z. Shamsutdinova1Galina A. Mityuchenko2Alexandra O. Orlova3Elena B. Avalueva4I. I. Mechnikov North-Western State Medical University, Ministry of Health of RussiaI. I. Mechnikov North-Western State Medical University, Ministry of Health of RussiaI. I. Mechnikov North-Western State Medical University, Ministry of Health of RussiaI. I. Mechnikov North-Western State Medical University, Ministry of Health of RussiaI. I. Mechnikov North-Western State Medical University, Ministry of Health of RussiaScoring systems based on assessment of disease severity and patient condition are widely used for routing and predicting length of stay in the ICU. However, their effectiveness varies in patients with sepsis.The aim of the study. To evaluate the effectiveness of scoring systems in routing and predicting ICU length of stay in patients with severe community-acquired pneumonia (CAP).Materials and methods. Medical records of 664 patients from the Intensive Care for Severe CAP database of I. I. Mechnikov Northwestern State Medical University (2013–2023) were analyzed using the following scoring scales: CURB-65, PSI/PORT, SMART-COP, SCAP, REA-ICU, NEWS2, IDSA/ATS criteria, APACHE IV, CFS, and CCI. Statistical analysis was performed using Statistica 10.0, SPSS, and Stat Research (Center for Statistical Research) software.Results. Among the study cohort, 96 patients (15%) had bacterial severe CAP (bCAP) and 568 patients (85%) had viral severe CAP (vCAP), all of whom were admitted to the ICU. A NEWS2 score ≥2 was observed in 74 (77.1%) bCAP patients and all vCAP patients (P<0.001). In contrast, 437 (76.9%) vCAP patients and 74 (77.1%) bCAP patients were classified as high risk according to SMART-COP (P=0.966). Delayed ICU admission (>7 days) was observed in older patients with severe bCAP, but did not significantly affect ICU length of stay or outcomes. A strong correlation was found between adverse outcome and predicted mortality using APACHE IV (η=0.966 for vCAP and η=0.807 for bCAP). However, no correlation was observed between predicted and actual ICU length of stay for both vCAP and bCAP patients (R²=0.0257, Kendall's W=0.018 for vCAP; R²=0.0294, Kendall's W=0.050 for bCAP). The predictive model accuracy for ICU stay >1 day or >14 days was not satisfactory. Model with vCAP patients adjusted for age (≥60 years) and APACHE IV exhibited moderate predictive accuracy for prolonged ICU stay (AUROC 0.610).Conclusion. Differences were found in the applicability of the NEWS2, REA-ICU, and IDSA/ATS major criteria scoring systems for ICU routing of bCAP and vCAP patients. APACHE IV showed a strong correlation between predicted and actual mortality, but no correlation between predicted and actual ICU length of stay in severe CAP patients was found.https://www.reanimatology.com/rmt/article/view/2457community-acquired pneumoniaicu routingicu length of stayseverity scoring systems
spellingShingle Irina A. Ruslyakova
Elvina Z. Shamsutdinova
Galina A. Mityuchenko
Alexandra O. Orlova
Elena B. Avalueva
Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
Общая реаниматология
community-acquired pneumonia
icu routing
icu length of stay
severity scoring systems
title Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
title_full Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
title_fullStr Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
title_full_unstemmed Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
title_short Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
title_sort efficacy of scoring systems for routing and predicting length of icu stay in severe community acquired pneumonia
topic community-acquired pneumonia
icu routing
icu length of stay
severity scoring systems
url https://www.reanimatology.com/rmt/article/view/2457
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