Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia
https://doi.org/10.15360/1813-9779-2025-1-38-48
Abstract
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.
About the Authors
Irina A. RuslyakovaRussian Federation
Irina A. Ruslyakova
47 Piskarevskii prospect, 195067 St. Petersburg
Elvina Z. Shamsutdinova
Russian Federation
Elvina Z. Shamsutdinova
47 Piskarevskii prospect, 195067 St. Petersburg
Galina A. Mityuchenko
Russian Federation
Galina A. Mityuchenko
47 Piskarevskii prospect, 195067 St. Petersburg
Alexandra O. Orlova
Russian Federation
Alexandra O. Orlova
47 Piskarevskii prospect, 195067 St. Petersburg
Elena B. Avalueva
Russian Federation
Elena B. Avalueva
47 Piskarevskii prospect, 195067 St. Petersburg
References
1. Song Y., Wang X., Lang K., Wei T., Luo J., Song Y., Yang D. Development and validation of a nomogram for predicting 28-day mortality on admission in elderly patients with severe community-acquired pneumonia. J Inflamm Res. 2022; 15: 4149–4158. DOI: 10.2147/JIR.S369319. PMID: 35903289.
2. Avdeev S. N., Beloborodov V. B., Belotserkovskiy B. Z., Gritsan A. I., Dekhnich A. V., Zaitsev A. A., Kirov M. Yu., et al. Severe community-acquired pneumonia in adults. Clinical recommendations from Russian Federation of Anaesthesiologists and Reanimaologists. Russian Journal of Anesthesiology and Reanimatology = Anesteziologiya i Reanimatologiya. 2022; (1): 6–35. (In Russ.). DOI: 10.17116/anaesthesiology20220116
3. Church S., Rogers E., Rockwood K., Theou O. A scoping review of the Clinical Frailty Scale. BMC Geriatr. 2020; 20 (1): 393. DOI: 10.1186/s12877-020-01801-7. PMID: 33028215
4. Martin-Loeches I., Torres A. Severe Community-Acquired Pneumonia. Semin Respir Crit Care Med. 2024; 45 (2): 141–142. DOI: 10.1055/s-0044-1780515. PMID: 38604187
5. Marti C., Garin N., Grosgurin O., Poncet A., Combescure C., Carballo S., Perrier A. Prediction of severe community-acquired pneumonia: a systematic review and meta-analysis. Crit Care. 2012; 16 (4): R141. DOI: 10.1186/cc11447. PMID: 22839689.
6. Fukuyama H., Ishida T., Tachibana H., Nakagawa H., Iwasaku M., Saigusa M., Yoshioka H., et al. Validation of scoring systems for predicting severe community-acquired pneumonia. Intern Med. 2011; 50 (18): 1917–1922. DOI: 10.2169/internalmedicine.50.5279. PMID: 21921369.
7. Divino V., Schranz J., Early M., Shah H., Jiang M., DeKoven M. The annual economic burden among patients hospitalized for community-acquired pneumonia (CAP): a retrospective US cohort study. Curr Med Res Opin. 2020; 36 (1): 151–160. DOI: 10.1080/03007995.2019.1675149. PMID: 31566005.
8. Dupuis C., Sabra A., Patrier J., Chaize G., Saighi A., Feger C., Vainchtock A., et al. Burden of pneumococcal pneumonia requiring ICU admission in France: 1-year prognosis, resources use, and costs. Crit Care. 2021; 25 (1): 24. DOI: 10.1186/s13054-020-03442-z. PMID: 33423691.
9. Çelikhisar H., Daşdemir Ilkhan G., Arabaci Ç. Prognostic factors in elderly patients admitted to the intensive care unit with community-acquired pneumonia. Aging Male. 2020; 23 (5): 1425–1431. DOI: 10.1080/13685538.2020.1775192. PMID: 32543939.
10. Haessler S., Guo N., Deshpande A., Zilberberg M. D., Lagu T., Lindenauer P. K., Imrey P. B., et al. Etiology, treatments, and outcomes of patients with severe community-acquired pneumonia in a large U.S. sample. Crit Care Med. 2022; 50 (7): 1063–1071. DOI: 10.1097/CCM.0000000000005498. PMID: 35191410.
11. Woods A. W., MacKirdy F. N., Livingston B. M., Norrie J., Howie J. C. Evaluation of predicted and actual length of stay in 22 Scottish intensive care units using the APACHE III system. Acute Physiology and Chronic Health Evaluation. Anaesthesia. 2000; 55 (11): 1058–1065. DOI: 10.1046/j.1365-2044.2000.01552.x. PMID: 11069331
12. Vasilevskis E. E., Kuzniewicz M. W., Cason B. A., Lane R. K., Dean M. L., Clay T., Rennie D. J., et al. Mortality probabilitymodel III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV. Chest. 2009; 136 (1): 89–101. DOI: 10.1378/chest.08-2591. PMID: 19363210.
13. Higgins T. L., Teres D., Copes W. S., Nathanson B. H., Stark M., Kramer A. A. Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III). Crit Care Med. 2007; 35 (3): 827–835. DOI: 10.1097/01.CCM.0000257337.63529.9F. PMID: 17255863.
14. Le Gall J. R., Lemeshow S., Saulnier F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study [published correction appears in JAMA 1994 May 4; 271 (17): 1321]. JAMA. 1993; 270 (24): 2957–2963. DOI: 10.1001/jama.270.24.2957. PMID: 8254858.
15. Zangmo K., Khwannimit B. Validating the APACHE IV score in predicting length of stay in the intensive care unit among patients with sepsis. Sci Rep. 2023; 13 (1): 5899. DOI: 10.1038/s41598-023-33173-4. PMID: 37041277.
16. Takekawa D., Endo H., Hashiba E., Hirota K. Predict models for prolonged ICU stay using APACHE II, APACHE III and SAPS II scores: A Japanese multicenter retrospective cohort study. PLoS One. 2022; 17 (6): e0269737. DOI: 10.1371/journal.pone.0269737. PMID: 35709080.
17. Bahlis L. F., Diogo L. P., Fuchs S. C. Charlson Comorbidity Index and other predictors of in-hospital mortality among adults with community-acquired pneumonia. J Bras Pneumol. 2021; 47 (1): e20200257. DOI: 10.36416/1806-3756/e20200257. PMID: 33656092.
18. Charles P. G., Wolfe R., Whitby M., Fine M. J., Fuller A. J., Stirling R., Wright A. A., et al. SMART-COP: a tool for predicting the need for intensive respiratory or vasopressor support in community-acquired pneumonia. Clin Infect Dis. 2008; 47 (3): 375–84. DOI: 10.1086/589754. PMID: 18558884.
19. Fine M. J., Auble T. E., Yealy D. M., Hanusa B. H., Weissfeld L. A., Singer D. E., Coley C. M., et al. A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med. 1997; 336 (4): 243–250. DOI: 10.1056/NEJM199701233360402. PMID: 8995086.
20. Renaud B., Labarère J., Coma E., Santin A., Hayon J., Gurgui M., Camus N., et al. Risk stratification of early admission to the intensive care unit of patients with no major criteria of severe community-acquired pneumonia: development of an international prediction rule. Crit Care. 2009; 13 (2): R54. DOI: 10.1186/cc7781. PMID: 19358736.
21. Liu J.-L., Xu F., Zhou H., Wu X-.J., Shi L.-X., Lu R.-Q., Farcomeni A., Farcomeni A., Venditti M., et al. Expanded CURB-65: a new score system predicts severity of community-acquired pneumonia with superior efficiency. Sci Rep. 2016; 6: 22911. DOI: 10.1038/srep22911. PMID: 26987602.
22. Mandell L. A., Wunderink R. G., Anzueto A., Bartlett J. G., Campbell G. D., Dean N. C., Dowell S. F., et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of communityacquired pneumonia in adults. Clin Infect Dis. 2007; 44 (Suppl 2): S27–72. DOI: 10.1086/511159. PMID: 17278083.
23. España P. P., Capelastegui A., Quintana J. M., Bilbao A., Diez R., Pascual S., Esteban C., et al. Validation and comparison of SCAP as a predictive score for identifying lowrisk patients in community-acquired pneumonia. J Infect. 2010; 60 (2): 106–113. DOI: 10.1016/j.jinf.2009.11.013. PMID: 19961875.
24. National Early Warning Score (NEWS) 2 — Standardising the assessment of acute illness severity in the NHS. ISBN 978-1-86016-682-2.588210.
25. Zimmerman J. E., Kramer A. A., McNair D. S., Malila F. M., Shaffer V. L. Intensive care unit length of stay: benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV. Crit Care Med. 2006; 34 (10): 2517–2529. DOI: 10.1097/01.CCM.0000240233.01711.D9. PMID: 16932234
26. Sternberg S. A., Wershof Schwartz A., Karunananthan S., Bergman H., Mark Clarfield A. The identification of frailty: a systematic literature review. J Am Geriatr Soc. 2011; 59 (11): 2129–2138. DOI: 10.1111/j.1532-5415.2011.03597.x. PMID: 22091630.
27. Charlson M. E., Pompei P., Ales K. L., MacKenzie C. R. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40 (5): 373–383. DOI: 10.1016/0021-9681(87)90171-8. PMID: 3558716.
28. Covino M., Sandroni C., Della Polla D., De Matteis G., Piccioni A., De Vita A., Russo A., et al. Predicting ICU admission and death in the Emergency Department: a comparison of six early warning scores. Resuscitation. 2023; 190: 109876. DOI: 10.1016/j.resuscitation.2023.109876. PMID: 37331563.
29. Neto F. L., Marino L. O., Torres A., Cilloniz C., Marchini J. F. M., de Alencar J. C. G., Palomeque A., et al. Community-acquired pneumonia severity assessment tools in patients hospitalized with COVID-19: a validation and clinical applicability study. Clin Microbiol Infect. 2021; 27 (7): 1037.e1–1037.e8. DOI: 10.1016/j.cmi.2021.03.002. PMID: 33813111.
30. Liapikou A., Ferrer M., Polverino E., Balasso V., Esperatti M., Piner R., Mensa J., et al. Severe community-acquired pneumonia: validation of the Infectious Diseases Society of America/American Thoracic Society guidelines to predict an intensive care unit admission. Clin Infect Dis. 2009; 48 (4): 377–385. DOI: 10.1086/596307. PMID: 19140759.
31. Woodhead M., Welch C. A., Harrison D. A., Bellingan G., Ayres J. G. Community-acquired pneumonia on the intensive care unit: secondary analysis of 17,869 cases in the ICNARC Case Mix Programme Database. Crit Care. 2006; 10 (Suppl 2): S1. DOI: 10.1186/cc4927. PMID: 16934135.
32. Rees E. M., Nightingale E. S., Jafari Y., Waterlow N. R., Clifford S., Pearson C. A. B., Jombart T., et al. COVID-19 length of hospital stay: a systematic review and data synthesis. BMC Med. 2020; 18 (1): 270. DOI: 10.1186/s12916-020-01726-3. PMID: 32878619.
Supplementary files
Review
For citations:
Ruslyakova I.A., Shamsutdinova E.Z., Mityuchenko G.A., Orlova A.O., Avalueva E.B. Efficacy of Scoring Systems for Routing and Predicting Length of ICU Stay in Severe Community-Acquired Pneumonia. General Reanimatology. 2025;21(1):38-48. https://doi.org/10.15360/1813-9779-2025-1-38-48