OBJECTIVES: This study aims to analyze the nosocomial infection factors in post-cardiac surgery extracorporeal membrane oxygenation (ECMO) supportive treatment (pCS-ECMO). METHODS: The clinical data of the pCS-ECMO patients who obtained nosocomial infections (NI) were collected and analyzed retrospectively. Among the 74 pCS-ECMO patients, 30 occurred with NI, accounting for 40.5%; a total of 38 pathogens were isolated, including 22 strains of Gram-negative bacteria (57.9%), 15 strains of Gram-positive bacteria (39.5%), and 1 fungus (2.6%). RESULTS: Multidrug-resistant strains were highly concentrated, among which Acinetobacter baumannii and various coagulase-negative staphylococci were the main types; NI was related to mechanical ventilation time, intensive care unit (ICU) residence, ECMO duration, and total hospital stay, and the differences were statistically significant (P < .05). The binary logistic regression analysis indicated that ECMO duration was a potential independent risk factor (OR = 0.992, P = .045, 95.0% CI = 0.984-1.000). CONCLUSIONS: There existed significant correlations between the secondary infections of pCS-ECMO and mechanical ventilation time, ICU residence, ECMO duration, and total hospital stay; therefore, hospitals should prepare appropriate preventive measures to reduce the incidence of ECMO secondary infections.
OBJECTIVES: This study aims to analyze the nosocomial infection factors in post-cardiac surgery extracorporeal membrane oxygenation (ECMO) supportive treatment (pCS-ECMO). METHODS: The clinical data of the pCS-ECMO patients who obtained nosocomial infections (NI) were collected and analyzed retrospectively. Among the 74 pCS-ECMO patients, 30 occurred with NI, accounting for 40.5%; a total of 38 pathogens were isolated, including 22 strains of Gram-negative bacteria (57.9%), 15 strains of Gram-positive bacteria (39.5%), and 1 fungus (2.6%). RESULTS: Multidrug-resistant strains were highly concentrated, among which Acinetobacter baumannii and various coagulase-negative staphylococci were the main types; NI was related to mechanical ventilation time, intensive care unit (ICU) residence, ECMO duration, and total hospital stay, and the differences were statistically significant (P < .05). The binary logistic regression analysis indicated that ECMO duration was a potential independent risk factor (OR = 0.992, P = .045, 95.0% CI = 0.984-1.000). CONCLUSIONS: There existed significant correlations between the secondary infections of pCS-ECMO and mechanical ventilation time, ICU residence, ECMO duration, and total hospital stay; therefore, hospitals should prepare appropriate preventive measures to reduce the incidence of ECMO secondary infections.