Prognostic scoring systems for mortality in intensive care units - The APACHE model

被引:68
|
作者
Niewinski, Grzegorz [1 ]
Starczewska, Malgorzata [1 ]
Kanski, Andrzej [1 ]
机构
[1] Med Univ Warsaw, Dept Anaesthesiol & Intens Therapy 2, Ul Banacha 1A, PL-02097 Warsaw, Poland
关键词
intensive therapy; mortality risk; prediction; prognostic scoring systems; APACHE;
D O I
10.5603/AIT.2014.0010
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
The APACHE (Acute Physiology and Chronic Health Evaluation) scoring system is time consuming. The mean time for introducing a patient's data to APACHE IV is 37.3 min. Nevertheless, statisticians have known for years that the higher the number of variables the mathematical model describes, the more accurate the model. Because of the necessity of gathering data over a 24-hour period and of determining one cause for ICU admission, the system is troublesome and prone to mistakes. The evolution of the APACHE scoring system is an example of unfulfilled hopes for accurately estimating the risk of death for patients admitted to the ICU; satisfactory prognostic effects resulting from the use of APACHE II and III have been recently studied in patients undergoing liver transplantations. Because no increase in the predictive properties of successive versions has been observed, the search for other solutions continues. The APACHE IV scoring system is helpful; however, its use without prepared spreadsheets is almost impractical. Therefore, although many years have passed since its original publication, APACHE II or its extension APACHE III is currently used in clinical practice.
引用
收藏
页码:46 / 49
页数:4
相关论文
共 50 条
  • [31] Risk predictors, scoring systems and prognostic models in anesthesia and intensive care.: Part II -: Intensive care
    Junger, A
    Engel, J
    Benson, M
    Hartmann, B
    Röhrig, R
    Hempelmann, G
    ANASTHESIOLOGIE INTENSIVMEDIZIN NOTFALLMEDIZIN SCHMERZTHERAPIE, 2002, 37 (10): : 591 - +
  • [32] Evaluation of the APACHE II scoring system in an israeli intensive care unit
    1600, Israel Medical Association, Jerusalem, Isr (30):
  • [33] INTENSIVE CARE MORTALITY PROGNOSTIC MODEL FOR PEDIATRIC PULMONARY HYPERTENSION
    Balkin, Emily
    Zinter, Matthew
    Fineman, Jeffrey
    Steurer, Martina
    CRITICAL CARE MEDICINE, 2018, 46 (01) : 28 - 28
  • [34] Intensive Care Mortality Prognostic Model for Pediatric Pulmonary Hypertension*
    Balkin, Emily Morell
    Zinter, Matt S.
    Rajagopal, Satish K.
    Keller, Roberta L.
    Fineman, Jeffrey R.
    Steurer, Martina A.
    PEDIATRIC CRITICAL CARE MEDICINE, 2018, 19 (08) : 733 - 740
  • [35] Intensive Care Unit Admission of Decompensated Cirrhotic Patients: Prognostic Scoring Systems
    Feltracco, P.
    Brezzi, M.
    Barbieri, S.
    Milevoj, M.
    Galligioni, H.
    Cillo, U.
    Zanus, G.
    Vitale, A.
    Ori, C.
    TRANSPLANTATION PROCEEDINGS, 2011, 43 (04) : 1079 - 1084
  • [36] Utility of the Therapeutic Intervention Scoring System-28 to Predict Mortality in Intensive Care Units
    Seker, Yasemin Tekdos
    Hergunsel, Oya
    Bostanci, Ipek
    Zeydan, Ayten
    EURASIAN JOURNAL OF MEDICINE AND ONCOLOGY, 2018, 2 (01): : 35 - 39
  • [37] Scoring System for the One-Year Mortality Prediction of Sepsis Patients in Intensive Care Units
    Garcia-Gallo, Javier E.
    Fonseca-Ruiz, Nelson J.
    Duitama-Munoz, John F.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1, 2019, 68 (01): : 367 - 370
  • [38] ICU mortality should be the study endpoint for intensive care unit scoring systems
    Doerr, Fabian
    Hekmat, Khosro
    SCANDINAVIAN CARDIOVASCULAR JOURNAL, 2014, 48 (04) : 256 - 257
  • [39] The comparison of PRISM and PIM scoring systems for mortality risk in infantile intensive care
    Ozer, EA
    Kizilgunesler, A
    Sarioglu, B
    Halicioglu, O
    Sutcuoglu, S
    Yaprak, I
    JOURNAL OF TROPICAL PEDIATRICS, 2004, 50 (06) : 334 - 338
  • [40] Scoring Systems and Outcome of Chronic Kidney Disease Patients Admitted In Intensive Care Units
    Goswami, Jitendra
    Balwani, Manish R.
    Kute, Vivek
    Gumber, Manoj
    Patel, Mohan
    Godhani, Umesh
    SAUDI JOURNAL OF KIDNEY DISEASES AND TRANSPLANTATION, 2018, 29 (02) : 310 - 317