By R. S. Wax, D. C. Angus (auth.), Prof. Jean-Louis Vincent (eds.)
The Yearbook compiles the latest, common advancements of experimental and scientific learn and perform in a single finished reference e-book. The chapters are written via good famous specialists of their box of in depth care and emergency drugs. it truly is addressed to every person concerned with inner drugs, anesthesia, surgical procedure, pediatrics, in depth care and emergency drugs. (With nearly ninety contributions.)
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Additional resources for Yearbook of Intensive Care and Emergency Medicine 2000
Of outcome tested? No Power Reliability analysis? assessed? Fang et al. 1. IL-l~ (1999)  Taqi 2. IL-lra 3. TNF~ 1/2 Number of patients studied Spectrum of disease in case group Nature of control group used Cohort or casecontrol Disease incidence vs. severity of disease Reference Cytokine/ polymorphism studied Table 2. , ::;· 0 ~- "5: ro V> ~ ~- C\ ro ::::> ~ c:: '"§[" s: 0 :;! 8 R. S. Wax and D. C. Angus Nature of Predictor Variables Failure to distinguish between 'markers' and 'mediators' may make interpretation of polymorphisms more difficult.
Wax and D. C. Angus No change In protein Genotype (Homozygous/ heterozygous) Change In amount of protein produced Change In natura of protein produced ]< No Impact on disease ~Incidence Change In susceptibility for developing disease No Impact on disease severity PATIENT OUTCOME Impact on disease severity Fig. 1. , exact procedures) . Examination of Table 2 demonstrates that all of the listed studies used genotypes as the unit of analysis except for the study by Nadel and colleagues , which mentions some information regarding genotype but conducts an analysis based on allele distribution.
However, APACHE II has questionable predictive value in sepsis [41, 42]. Thus, can we be sure that this is an appropriate measure of disease severity upon cohort entry? Better measures of disease burden (such as the Sequential Organ Failure Assessment (SOFA) score ) and co-morbidity are necessary to eliminate confounding variables when measuring the impact of genetic polymorphism on outcome. Subgroups of patients with different forms of sepsis may have different outcomes depending on the etiology of sepsis in that group despite a similar genotype .