Predictive accuracy of the pneumonia severity index vs CRB-65 for time to clinical stability: Results from the Community-Acquired Pneumonia Organization (CAPO) International Cohort Study

被引:22
作者
Arnold, Forest W. [1 ]
Brock, Guy N. [2 ]
Peyrani, Paula [1 ]
Rodriguez, Eduardo L. [3 ]
Diaz, Alejandro A. [4 ,5 ]
Rossi, Paolo [6 ]
Ramirez, Julio A. [1 ]
机构
[1] Univ Louisville, Sch Med, Dept Med, Div Infect Dis, Louisville, KY 40202 USA
[2] Univ Louisville, Sch Publ Hlth & Informat Sci, Louisville, KY 40202 USA
[3] Hosp Espanol La Plata, RA-1900 La Plata, Argentina
[4] Harvard Univ, Brigham & Womens Hosp, Sch Med, Boston, MA 02115 USA
[5] Pontificia Univ Catolica Chile, Santiago, Chile
[6] Azienda Osped Univ S Maria della Misericordia, Div Internal Med, SOC Med Interna 1, I-33100 Udine, Italy
基金
美国国家卫生研究院;
关键词
Community-acquired pneumonia; Severity of illness index; Time to clinical stability; LOW-RISK PATIENTS; COMPETING RISK; VALIDATION; MANAGEMENT; RULE; THERAPY;
D O I
10.1016/j.rmed.2010.05.022
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The Pneumonia Severity Index (PSI) and CRB-65 are scores used to predict mortality in patients with community-acquired pneumonia (CAP). It is unknown how well either score predicts time to clinical stability in hospitalized patients with CAP. Thus, it is also not known which score predicts time to clinical stability better. Methods: A secondary analysis of 3087 patients from the Community-Acquired Pneumonia Organization (CAPO) database was performed. Time-dependent receiver-operator characteristic (ROC) curves for time to clinical stability were calculated for the PSI and CRB-65 scores at day seven of hospitalization. Secondary outcomes were to assess the relationship of the PSI and CRB-65 to in-hospital mortality and length of stay (LOS). ROC curves for LOS and mortality were calculated. Results: The area under the ROC curve (AUC) for time to clinical stability by day seven was 0.638 (95% Cl 0.613, 0.660) when using the PSI, and 0.647 (95% CI 0.619, 0.670) while using the CRB-65. The difference in AUC values was not statistically significant (95% CI for difference of -0.03 to 0.01). However, the difference in the AUC values for discharge within 14 days (0.651 for PSI vs 0.63 for CRB-65, 95% CI for difference 0.001-0.049), and 28-day in-hospital mortality (0.738 for PSI vs 0.69 for CRB-65, 95% CI for difference 0.02-0.082) were both statistically significant. Conclusions: This study demonstrates a moderate ability of both the PSI and CRB-65 scores to predict time to clinical stability, and found that the predictive accuracy of the PSI was equivalent to that of the CRB-65 for this outcome. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1736 / 1743
页数:8
相关论文
共 30 条
[1]  
[Anonymous], 1993, INTRO BOOTSTRAP
[2]  
[Anonymous], 2007, R LANG ENV STAT COMP
[3]  
Arnold F, 2006, INT J TUBERC LUNG D, V10, P739
[4]   A worldwide perspective of atypical pathogens in community-acquired pneumonia [J].
Arnold, Forest W. ;
Summersgill, James T. ;
Lajoie, Andrew S. ;
Peyrani, Paula ;
Marrie, Thomas J. ;
Rossi, Paolo ;
Blasi, Francesco ;
Fernandez, Patricia ;
File, Thomas M., Jr. ;
Rello, Jordi ;
Menendez, Rosario ;
Marzoratti, Lucia ;
Luna, Carlos M. ;
Ramirez, Julio A. .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2007, 175 (10) :1086-1093
[5]   Hospitalization for community-acquired pneumonia - The pneumonia severity index vs clinical judgment [J].
Arnold, FW ;
Ramirez, JA ;
McDonald, C ;
Xia, EL .
CHEST, 2003, 124 (01) :121-124
[6]   CRB-65 predicts death from community-acquired pneumonia [J].
Bauer, T. T. ;
Ewig, S. ;
Marre, R. ;
Suttorp, N. ;
Welte, T. .
JOURNAL OF INTERNAL MEDICINE, 2006, 260 (01) :93-101
[7]  
Canty AJ., 2002, R NEWS, V2, P2, DOI DOI 10.1159/000323281
[8]   Validation of a predictive rule for the management of community-acquired pneumonia [J].
Capelastegul, A ;
España, PP ;
Quintana, JM ;
Areltio, I ;
Gorordo, I ;
Egurrola, M ;
Bilbao, A .
EUROPEAN RESPIRATORY JOURNAL, 2006, 27 (01) :151-157
[9]  
DeFrances Carol J, 2007, Adv Data, P1
[10]   A proportional hazards model for the subdistribution of a competing risk [J].
Fine, JP ;
Gray, RJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :496-509