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"Modified SEGRAV Predictive Model in Critical Maternity" explores an innovative system for assessing severity in critically ill obstetric patients. Based on a comprehensive study with more than 200 real cases, the SEGRAV-MMC model offers advanced tools to predict the probability of mortality and optimize medical care in intensive care units.This work combines scientific rigor and human sensitivity, addressing obstetric complications such as pregnancy-induced hypertension and uterine atony. With an interdisciplinary approach and comparison with international standards such as APACHE II, it…mehr

Produktbeschreibung
"Modified SEGRAV Predictive Model in Critical Maternity" explores an innovative system for assessing severity in critically ill obstetric patients. Based on a comprehensive study with more than 200 real cases, the SEGRAV-MMC model offers advanced tools to predict the probability of mortality and optimize medical care in intensive care units.This work combines scientific rigor and human sensitivity, addressing obstetric complications such as pregnancy-induced hypertension and uterine atony. With an interdisciplinary approach and comparison with international standards such as APACHE II, it demonstrates the effectiveness of SEGRAV-MMC as a special ally in the fight to reduce maternal mortality.A book of special help for intensivists and obstetricians, committed to maternal health and innovation in critical care.
Autorenporträt
Doktor der Medizin (2013) und Facharzt für Intensiv- und Notfallmedizin (2018) an der Universität für Medizinische Wissenschaften von Santiago de Cuba. Erfahrung im Allgemeinen Krankenhaus Juan Bruno Zayas (Kuba) und im König-Abdullah-Krankenhaus (Saudi-Arabien). Sprachen: Spanisch, Englisch, Portugiesisch und Arabisch.