BACKGROUND: Despite great advances in intensive care medicine, sepsis still is the leading cause of death. Different strategies have been developed to file the patient data into scoring systems, primarily to predict the outcome. The Markov simulation-predominantly used in economic science to describe chains of events depending on and influencing each other-seems to be an interesting and new approach in analyzing the course of disease of critically ill patients in an intensive care unit (ICU). Using such a Markov model, this study analyzes data from 660 surgical ICU patients, 44 of whom died of sepsis. METHODS: A three-state Markov model (integrating sepsis, adult respiratory distress syndrome, and mortality) was constructed to describe the course of disease of critically ill patients in defined cycles and to develop the risk profile of different groups of patients. The model enables the comparison between age- and sex-related survival rates and shows the difference in life expectancy compared with an average untreated standard population. RESULTS: Women aged up to 30 years (G1F) show the best prognosis (mortality after 19 cycles 8.3%). On the contrary, the corresponding male group (G1M) demonstrates the worst outcome (mortality after 19 cycles 57.7 %). CONCLUSIONS: The findings of this study fit into the current discussion that female patients are better positioned to meet the challenge of sepsis.
BACKGROUND: Despite great advances in intensive care medicine, sepsis still is the leading cause of death. Different strategies have been developed to file the patient data into scoring systems, primarily to predict the outcome. The Markov simulation-predominantly used in economic science to describe chains of events depending on and influencing each other-seems to be an interesting and new approach in analyzing the course of disease of critically illpatients in an intensive care unit (ICU). Using such a Markov model, this study analyzes data from 660 surgical ICU patients, 44 of whom died of sepsis. METHODS: A three-state Markov model (integrating sepsis, adult respiratory distress syndrome, and mortality) was constructed to describe the course of disease of critically illpatients in defined cycles and to develop the risk profile of different groups of patients. The model enables the comparison between age- and sex-related survival rates and shows the difference in life expectancy compared with an average untreated standard population. RESULTS:Women aged up to 30 years (G1F) show the best prognosis (mortality after 19 cycles 8.3%). On the contrary, the corresponding male group (G1M) demonstrates the worst outcome (mortality after 19 cycles 57.7 %). CONCLUSIONS: The findings of this study fit into the current discussion that female patients are better positioned to meet the challenge of sepsis.
Authors: Alba Luz León; Natalia Andrea Hoyos; Lena Isabel Barrera; Gisela De La Rosa; Rodolfo Dennis; Carmelo Dueñas; Marcela Granados; Dario Londoño; Ferney Alexander Rodríguez; Francisco José Molina; Guillermo Ortiz; Fabián Alberto Jaimes Journal: BMC Infect Dis Date: 2013-07-24 Impact factor: 3.090
Authors: Görkem Saka; Jennifer E Kreke; Andrew J Schaefer; Chung-Chou H Chang; Mark S Roberts; Derek C Angus Journal: Crit Care Date: 2007 Impact factor: 9.097