Literature DB >> 10823384

Interobserver variability of the measurement of the mortality probability models (MPM II) in the assessment of severity of illness.

M Rué1, C Valero, S Quintana, A Artigas, M Alvarez.   

Abstract

OBJECTIVE: To assess the interobserver variability of the measurement of the MPM II system.
DESIGN: Random sample of an inception cohort.
SETTING: Fifteen adult medical and surgical intensive care units (ICUs) in Spain. PATIENTS: A 5% random sample (n = 119) of 2332 patients consecutively admitted in the ICU, aged 18 years or older.
INTERVENTIONS: Prospective data collection during the stay of the patient in the ICU. Repeated data collection, after the patient's hospital discharge.
MEASUREMENTS AND MAIN RESULTS: Demographic information, length-of-stay and vital status at both ICU and hospital discharge, as well as all variables necessary for computing the MPM II system were measured. Interobserver variability for categorical variables was measured computing the kappa index. For interval variables the interobserver variability was assessed by the intraclass correlation coefficient, the paired t-test, and linear regression. In the MPM II0 index, the variables coma, heart rate, systolic blood pressure, chronic renal insufficiency, metastatic neoplasm, acute renal failure, cardiac dysrhythmia and cardiopulmonary resuscitation, showed moderate or low levels of agreement. In the MPM II24 index, the variables coma or deep stupor, PaO2 and prothrombin time showed low or moderate interobserver agreement. Agreement for the MPM II probability of death was high, although the external observer obtained a lower estimation than the hospital observer.
CONCLUSIONS: The MPM II severity system showed a high level of stability when used in groups of patients. Nevertheless, the observed variability in some variables means that it should be used with caution for individual patients.

Entities:  

Mesh:

Year:  2000        PMID: 10823384     DOI: 10.1007/s001340051151

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  3 in total

1.  Reproducibility of physiological track-and-trigger warning systems for identifying at-risk patients on the ward.

Authors:  Christian P Subbe; Haiyan Gao; David A Harrison
Journal:  Intensive Care Med       Date:  2007-01-18       Impact factor: 17.440

2.  Assessment of performance of four mortality prediction systems in a Saudi Arabian intensive care unit.

Authors:  Yaseen Arabi; Samir Haddad; Radoslaw Goraj; Abdullah Al-Shimemeri; Salim Al-Malik
Journal:  Crit Care       Date:  2002-03-13       Impact factor: 9.097

3.  A comparison of Child-Pugh, APACHE II and APACHE III scoring systems in predicting hospital mortality of patients with liver cirrhosis.

Authors:  Constantinos Chatzicostas; Maria Roussomoustakaki; Georgios Notas; Ioannis G Vlachonikolis; Demetrios Samonakis; John Romanos; Emmanouel Vardas; Elias A Kouroumalis
Journal:  BMC Gastroenterol       Date:  2003-05-08       Impact factor: 3.067

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.