Sepsis mortality prediction based on predisposition, infection and response

被引:104
|
作者
Moreno, Rui P. [1 ]
Metnitz, Barbara [2 ]
Adler, Leopold [3 ]
Hoechtl, Anette [3 ]
Bauer, Peter [2 ]
Metnitz, Philipp G. H. [3 ]
机构
[1] Hosp St Antonio Capuchos, Unidade Cuidados Intensivos Polivalente, Ctr Hosp Lisboa Cent EPE, P-1150069 Lisbon, Portugal
[2] Univ Vienna, Dept Med Stat, Vienna, Austria
[3] Univ Hosp Vienna, Dept Anesthiol & Gen Intens Catr, Vienna, Austria
关键词
intensive care unit; severity of illness; infection; sepsis; PIRO; risk adjustment;
D O I
10.1007/s00134-007-0943-1
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: To empirically test, based on a large multicenter, multinational database, whether a modified PIRO (predisposition, insult, response, and organ dysfunction) concept could be applied to predict mortality in patients with infection and sepsis. Design: Substudy of a multicenter multinational cohort study (SAPS 3). Patients: A total of 2,628 patients with signs of infection or sepsis who stayed in the ICU for >48h. Three boxes of variables were defined, according to the PIRO concept. Box 1 (Predisposition) contained information about the patient's condition before ICU admission. Box 2 (Injury) contained information about the infection at ICU admission. Box 3 (Response) was defined as the response to the infection, expressed as a Sequential Organ Failure Assessment score after 48h. Interventions: None. Main measurements and results: Most of the infections were community acquired (59.6%); 32.5% were hospital acquired. The median age of the patients was 65 (50-75) years, and 41.1% were female. About 22% (n=576) of the patients presented with infection only, 36.3% (n=953) with signs of sepsis, 23.6% (n=619) with severe sepsis, and 18.3% (n=480) with septic shock. Hospital mortality was 40.6% overall, greater in those with septic shock (52.5%) than in those with infection (34.7%). Several factors related to predisposition, infection and response were associated with hospital mortality. Conclusion: The proposed three-level system, by using objectively defined criteria for risk of mortality in sepsis, could be used by physicians to stratify patients at ICU admission or shortly thereafter, contributing to a better selection of management according to the risk of death.
引用
收藏
页码:496 / 504
页数:9
相关论文
共 50 条
  • [21] Sepsis-Related Mortality Rates and Trends Based on Site of Infection
    Prest, Jonathan
    Nguyen, Thai
    Rajah, Tiffany
    Prest, Alayna B.
    Sathananthan, Matheni
    Jeganathan, Niranjan
    CRITICAL CARE EXPLORATIONS, 2022, 4 (10) : E0775
  • [22] Validation of the Predisposition Infection Response Organ (PIRO) dysfunction score for the prognostic stratification of patients with sepsis in the Emergency Department
    Caramello, V
    Macciotta, A.
    Beux, V
    De Salve, A., V
    Ricceri, F.
    Boccuzzi, A.
    MEDICINA INTENSIVA, 2021, 45 (08) : 459 - 469
  • [23] Mortality in humans with pneumonia and sepsis is related to an uncompensated anti-inflammatory response to infection
    White, Mary
    Mankan, Arun
    Lawless, Matthew W.
    O'Dwyer, Michael J.
    McManus, Ross
    Ryan, Thomas
    ARCHIVES OF INTERNAL MEDICINE, 2008, 168 (13) : 1468 - 1469
  • [24] Fever Control and Sepsis Mortality Response
    Mohr, Nicholas M.
    Doerschug, Kevin C.
    CHEST, 2014, 145 (03) : 667 - 667
  • [25] Combining procalcitonin with the qSOFA and sepsis mortality prediction
    Yu, Hua
    Nie, Lu
    Liu, Aibo
    Wu, Kuihai
    Hsein, Yenh-Chen
    Yen, Debra W.
    Lee, Meng-tse G.
    Lee, Chien-Chang
    MEDICINE, 2019, 98 (23)
  • [26] Sepsis mortality prediction with Machine Learning Tecniques
    Perez-Tome, Javier Carrillo
    Parron-Carreno, Tesifon
    Castano-Fernandez, Ana Belen
    Nievas-Soriano, Bruno Jose
    Castro-Luna, Gracia
    MEDICINA INTENSIVA, 2024, 48 (10) : 584 - 593
  • [27] The utility of bandemia in prognostication and prediction of mortality in sepsis
    Prasanna, Nivedita
    DelPrete, Benjamin
    Ho, Geoffrey
    Yamane, David
    Elshikh, Amira
    Rashed, Amir
    Sparks, Andrew
    Davison, Danielle
    Hawkins, Katrina
    JOURNAL OF THE INTENSIVE CARE SOCIETY, 2023, 24 (02) : 201 - 205
  • [28] Editorial: Outcome of sepsis and prediction of mortality risk
    Munari, Elena
    Minicucci, Marcos Ferreira
    Ming, Zhong
    Girardis, Massimo
    Busani, Stefano
    FRONTIERS IN MEDICINE, 2023, 10
  • [29] Morbidity and mortality risk prediction models in sepsis
    Antinolo, Fernando Miguel Gamboa
    MEDICINA CLINICA, 2022, 159 (10): : E65 - E65
  • [30] A Machine Learning-Based Prediction of Hospital Mortality in Patients With Postoperative Sepsis
    Yao, Ren-qi
    Jin, Xin
    Wang, Guo-wei
    Yu, Yue
    Wu, Guo-sheng
    Zhu, Yi-bing
    Li, Lin
    Li, Yu-xuan
    Zhao, Peng-yue
    Zhu, Sheng-yu
    Xia, Zhao-fan
    Ren, Chao
    Yao, Yong-ming
    FRONTIERS IN MEDICINE, 2020, 7