TY - JOUR
T1 - Multinational Prospective Cohort Study of Mortality Risk Factors in 198 ICUs of 12 Latin American Countries over 24 Years
T2 - The Effects of Healthcare-Associated Infections
AU - Rosenthal, Victor Daniel
AU - Yin, Ruijie
AU - Valderrama-Beltran, Sandra Liliana
AU - Gualtero, Sandra Milena
AU - Linares, Claudia Yaneth
AU - Aguirre-Avalos, Guadalupe
AU - Mijangos-Méndez, Julio Cesar
AU - Ibarra-Estrada, Miguel Ángel
AU - Jimenez-Alvarez, Luisa Fernanda
AU - Reyes, Lidia Patricia
AU - Alvarez-Moreno, Carlos Arturo
AU - Zuniga-Chavarria, Maria Adelia
AU - Quesada-Mora, Ana Marcela
AU - Gomez, Katherine
AU - Alarcon, Johana
AU - Oñate, Jose Millan
AU - Aguilar-De-Moros, Daisy
AU - Castaño-Guerra, Elizabeth
AU - Córdoba, Judith
AU - Sassoe-Gonzalez, Alejandro
AU - Millán-Castillo, Claudia Marisol
AU - Xotlanihua, Lissette Leyva
AU - Aguilar-Moreno, Lina Alejandra
AU - Ojeda, Juan Sebastian Bravo
AU - Tobar, Ivan Felipe Gutierrez
AU - Aleman-Bocanegra, Mary Cruz
AU - Echazarreta-Martínez, Clara Veronica
AU - Flores-Sánchez, Belinda Mireya
AU - Cano-Medina, Yuliana Andrea
AU - Chapeta-Parada, Edwin Giovannny
AU - Gonzalez-Niño, Rafael Antonio
AU - Villegas-Mota, Maria Isabel
AU - Montoya-Malváez, Mildred
AU - Cortés-Vázquez, Miguel Ángel
AU - Medeiros, Eduardo Alexandrino
AU - Fram, Dayana
AU - Vieira-Escudero, Daniela
AU - Jin, Zhilin
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Background: The International Nosocomial Infection Control Consortium (INICC) has found a high ICU mortality rate in Latin America. Methods: A prospective cohort study in 198 ICUs of 96 hospitals in 46 cities in 12 Latin American countries to identify mortality risk factors (RF), and data were analyzed using multiple logistic regression. Results: Between 07/01/1998 and 02/12/2022, 71,685 patients, followed during 652,167 patient-days, acquired 4700 HAIs, and 10,890 died. We prospectively collected data of 16 variables. Following 11 independent mortality RFs were identified in multiple logistic regression: ventilator-associated pneumonia (VAP) acquisition (adjusted odds ratio [aOR] = 1.17; 95% CI: 1.06–1.30; p < 0.0001); catheter-associated urinary tract infection (CAUTI) acquisition (aOR = 1.34; 95% CI: 1.15–1.56; p < 0.0001); older age, rising risk 2% yearly (aOR = 1.02; 95% CI: 1.01–1.02; p < 0.0001); longer indwelling central line(CL)-days, rising risk 3% daily (aOR = 1.03; 95% CI: 1.02–1.03; p < 0.0001); longer indwelling urinary catheter(UC)-days, rising risk 1% daily (aOR = 1.01; 95% CI: 1.01–1.26; p < 0.0001); higher mechanical ventilation (MV) (aOR = 6.47; 95% CI: 5.96–7.03; p < 0.0001) and urinary catheter-utilization ratio (aOR = 1.19; 95% CI: 1.11–1.27; p < 0.0001); lower-middle level income country (aOR = 2.94; 95% CI: 2.10–4.12; p < 0.0001); private (aOR = 1.50; 95% CI: 1.27–1.77; p < 0.0001) or public hospital (aOR = 1.47; 95% CI: 1.24–1.74; p < 0.0001) compared with university hospitals; medical hospitalization instead of surgical (aOR = 1.67; 95% CI: 1.59–1.75; p < 0.0001); neurologic ICU (aOR = 4.48; 95% CI: 2.68–7.50; p < 0.0001); adult oncology ICU (aOR = 3.48; 95% CI: 2.14–5.65; p < 0.0001); and others. Conclusion: Some of the identified mortality RFs are unlikely to change, such as the income level of the country, facility ownership, hospitalization type, ICU type, and age. But some of the mortality RFs we found can be changed, and efforts should be made to reduce CL-days, UC-days, MV-utilization ratio, UC-utilization ratio, and lower VAPs and CAUTI rates.
AB - Background: The International Nosocomial Infection Control Consortium (INICC) has found a high ICU mortality rate in Latin America. Methods: A prospective cohort study in 198 ICUs of 96 hospitals in 46 cities in 12 Latin American countries to identify mortality risk factors (RF), and data were analyzed using multiple logistic regression. Results: Between 07/01/1998 and 02/12/2022, 71,685 patients, followed during 652,167 patient-days, acquired 4700 HAIs, and 10,890 died. We prospectively collected data of 16 variables. Following 11 independent mortality RFs were identified in multiple logistic regression: ventilator-associated pneumonia (VAP) acquisition (adjusted odds ratio [aOR] = 1.17; 95% CI: 1.06–1.30; p < 0.0001); catheter-associated urinary tract infection (CAUTI) acquisition (aOR = 1.34; 95% CI: 1.15–1.56; p < 0.0001); older age, rising risk 2% yearly (aOR = 1.02; 95% CI: 1.01–1.02; p < 0.0001); longer indwelling central line(CL)-days, rising risk 3% daily (aOR = 1.03; 95% CI: 1.02–1.03; p < 0.0001); longer indwelling urinary catheter(UC)-days, rising risk 1% daily (aOR = 1.01; 95% CI: 1.01–1.26; p < 0.0001); higher mechanical ventilation (MV) (aOR = 6.47; 95% CI: 5.96–7.03; p < 0.0001) and urinary catheter-utilization ratio (aOR = 1.19; 95% CI: 1.11–1.27; p < 0.0001); lower-middle level income country (aOR = 2.94; 95% CI: 2.10–4.12; p < 0.0001); private (aOR = 1.50; 95% CI: 1.27–1.77; p < 0.0001) or public hospital (aOR = 1.47; 95% CI: 1.24–1.74; p < 0.0001) compared with university hospitals; medical hospitalization instead of surgical (aOR = 1.67; 95% CI: 1.59–1.75; p < 0.0001); neurologic ICU (aOR = 4.48; 95% CI: 2.68–7.50; p < 0.0001); adult oncology ICU (aOR = 3.48; 95% CI: 2.14–5.65; p < 0.0001); and others. Conclusion: Some of the identified mortality RFs are unlikely to change, such as the income level of the country, facility ownership, hospitalization type, ICU type, and age. But some of the mortality RFs we found can be changed, and efforts should be made to reduce CL-days, UC-days, MV-utilization ratio, UC-utilization ratio, and lower VAPs and CAUTI rates.
KW - Healthcare-associated infection
KW - Hospital infection
KW - Intensive care unit
KW - Mortality
KW - Risk factors
UR - https://www.scopus.com/pages/publications/85139412572
U2 - 10.1007/s44197-022-00069-x
DO - 10.1007/s44197-022-00069-x
M3 - Article
C2 - 36197596
AN - SCOPUS:85139412572
SN - 2210-6006
VL - 12
SP - 504
EP - 515
JO - Journal of Epidemiology and Global Health
JF - Journal of Epidemiology and Global Health
IS - 4
ER -