Daniela N Vasquez1, Andrea V Das Neves, Laura Vidal, Miriam Moseinco, Jorge Lapadula, Graciela Zakalik, Analía Santa-Maria, Raúl A Gomez, Mónica Capalbo, Claudia Fernandez, Enrique Agüero-Villareal, Santiago Vommaro, Marcelo Moretti, Silvana B Soli, Florencia Ballestero, Juan P Sottile, Viviana Chapier, Carlos Lovesio, José Santos, Fernando Bertoletti, Alfredo D Intile, Pablo M Desmery, Elisa Estenssoro. 1. 1Intensive Care Unit, Hospital Interzonal de Agudos Gral San Martín, La Plata, Buenos Aires, Argentina. 2Intensive Care Unit, Sanatorio Anchorena, City of Buenos Aires, Argentina. 3Intensive Care Unit, Hospital Pablo Soria, San Salvador de Jujuy, Jujuy, Argentina. 4Intensive Care Unit, Sanatorio Otamendi, City of Buenos Aires, Argentina. 5Intensive Care Unit, Hospital Nacional Prof. Alejandro Posadas, Villa Sarmiento, Buenos Aires, Argentina. 6Intensive Care Unit, Hospital Luis Lagomaggiore, City of Mendoza, Mendoza, Argentina. 7Intensive Care Unit, Sanatorio Mitre, City of Buenos Aires, Argentina. 8Intensive Care Unit, Sanatorio de Los Arcos, City of Buenos Aires, Argentina. 9Intensive Care Unit, Hospital Gral de Agudos José M. Penna, City of Buenos Aires, Argentina. 10Intensive Care Unit, Hospital de Agudos Ramón Madariaga, Posadas, Misiones, Argentina. 11Intensive Care Unit, Hospital Policlínico Regional Dr. Ramón Carrillo, City of Santiago del Estero, Santiago del Estero, Argentina. 12Intensive Care Unit, Sanatorio Mater Dei, City of Buenos Aires, Argentina. 13Intensive Care Unit, Hospital Naval, City of Buenos Aires, Argentina. 14Intensive Care Unit, Sanatorio Julio Corzo, Rosario, Santa Fé, Argentina. 15Intensive Care Unit, Hospital Británico, City of Buenos Aires, Argentina. 16Intensive Care Unit, Hospital Zonal Bariloche, Bariloche, Río Negro, Argentina. 17Intensive Care Unit, Hospital Español de Mendoza, Godoy Cruz, Mendoza, Argentina. 18Intensive Care Unit, Sanatorio Parque, Rosario, Santa Fé, Argentina. 19Intensive Care Unit, Clínica Colón, Mar del Plata, Buenos Aires, Argentina. 20Intensive Care Unit, Sanatorio San Jorge, Usuhaia, Tierra del Fuego, Argentina.
Abstract
OBJECTIVE: To evaluate pregnant/postpartum patients requiring ICUs admission in Argentina, describe characteristics of mothers and outcomes for mothers/babies, evaluate risk factors for maternal-fetal-neonatal mortality; and compare outcomes between patients admitted to public and private health sectors. DESIGN: Multicenter, prospective, national cohort study. SETTING: Twenty ICUs in Argentina (public, 8 and private, 12). PATIENTS: Pregnant/postpartum (< 42 d) patients admitted to ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Three hundred sixty-two patients were recruited, 51% from the public health sector and 49% from the private. Acute Physiology and Chronic Health Evaluation II was 8 (4-12); predicted/observed mortality, 7.6%/3.6%; hospital length of stay, 7 days (5-13 d); and fetal-neonatal losses, 17%. Public versus private health sector patients: years of education, 9 ± 3 versus 15 ± 3; transferred from another hospital, 43% versus 12%; Acute Physiology and Chronic Health Evaluation II, 9 (5-13.75) versus 7 (4-9); hospital length of stay, 10 days (6-17 d) versus 6 days (4-9 d); prenatal care, 75% versus 99.4%; fetal-neonatal losses, 25% versus 9% (p = 0.000 for all); and mortality, 5.4% versus 1.7% (p = 0.09). Complications in ICU were multiple-organ dysfunction syndrome (34%), shock (28%), renal dysfunction (25%), and acute respiratory distress syndrome (20%); all predominated in the public sector. Sequential Organ Failure Assessment (during first 24 hr of admission) score of at least 6.5 presented the best discriminative power for maternal mortality. Independent predictors of maternal-fetal-neonatal mortality were Acute Physiology and Chronic Health Evaluation II, education level, prenatal care, and admission to tertiary hospitals. CONCLUSIONS: Patients spent a median of 7 days in hospital; 3.6% died. Maternal-fetal-neonatal mortality was determined not only by acuteness of illness but to social and healthcare aspects like education, prenatal control, and being cared in specialized hospitals. Sequential Organ Failure Assessment (during first 24 hr of admission), easier to calculate than Acute Physiology and Chronic Health Evaluation II, was a better predictor of maternal outcome. Evident health disparities existed between patients admitted to public versus private hospitals: the former received less prenatal care, were less educated, were more frequently transferred from other hospitals, were sicker at admission, and developed more complications; maternal and fetal-neonatal mortality were higher. These findings point to the need of redesigning healthcare services to account for these inequities.
OBJECTIVE: To evaluate pregnant/postpartum patients requiring ICUs admission in Argentina, describe characteristics of mothers and outcomes for mothers/babies, evaluate risk factors for maternal-fetal-neonatal mortality; and compare outcomes between patients admitted to public and private health sectors. DESIGN: Multicenter, prospective, national cohort study. SETTING: Twenty ICUs in Argentina (public, 8 and private, 12). PATIENTS: Pregnant/postpartum (< 42 d) patients admitted to ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Three hundred sixty-two patients were recruited, 51% from the public health sector and 49% from the private. Acute Physiology and Chronic Health Evaluation II was 8 (4-12); predicted/observed mortality, 7.6%/3.6%; hospital length of stay, 7 days (5-13 d); and fetal-neonatal losses, 17%. Public versus private health sector patients: years of education, 9 ± 3 versus 15 ± 3; transferred from another hospital, 43% versus 12%; Acute Physiology and Chronic Health Evaluation II, 9 (5-13.75) versus 7 (4-9); hospital length of stay, 10 days (6-17 d) versus 6 days (4-9 d); prenatal care, 75% versus 99.4%; fetal-neonatal losses, 25% versus 9% (p = 0.000 for all); and mortality, 5.4% versus 1.7% (p = 0.09). Complications in ICU were multiple-organ dysfunction syndrome (34%), shock (28%), renal dysfunction (25%), and acute respiratory distress syndrome (20%); all predominated in the public sector. Sequential Organ Failure Assessment (during first 24 hr of admission) score of at least 6.5 presented the best discriminative power for maternal mortality. Independent predictors of maternal-fetal-neonatal mortality were Acute Physiology and Chronic Health Evaluation II, education level, prenatal care, and admission to tertiary hospitals. CONCLUSIONS:Patients spent a median of 7 days in hospital; 3.6% died. Maternal-fetal-neonatal mortality was determined not only by acuteness of illness but to social and healthcare aspects like education, prenatal control, and being cared in specialized hospitals. Sequential Organ Failure Assessment (during first 24 hr of admission), easier to calculate than Acute Physiology and Chronic Health Evaluation II, was a better predictor of maternal outcome. Evident health disparities existed between patients admitted to public versus private hospitals: the former received less prenatal care, were less educated, were more frequently transferred from other hospitals, were sicker at admission, and developed more complications; maternal and fetal-neonatal mortality were higher. These findings point to the need of redesigning healthcare services to account for these inequities.
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