Six-year study on peripheral venous catheter-associated BSI rates in 262 ICUs in eight countries of South-East Asia: International Nosocomial Infection Control Consortium findings

Efficacy of Random Forest Models in Predicting Multidrug-Resistant Gram-Negative Bacterial Nosocomial Infections Compared to Traditional Logistic Regression Models

This study evaluates whether random forest (RF) models are as effective as traditional Logistic Regression (LR) models in predicting multidrug-resistant Gram-negative bacterial nosocomial infections. Data were collected from 541 patients with hospital-acquired Gram-negative bacterial infections at two tertiary-level hospitals in Urumqi, Xinjiang, China, from August 2022 to November 2023. Relevant literature informed the selection of significant predictors based on patients' pre-infection clinical information and medication history. The data were split into a training set of 379 cases and a validation set of 162 cases, adhering to a 7:3 ratio. Both RF and LR models were developed using the training set and subsequently evaluated on the validation set. The LR model achieved an accuracy of 84.57%, sensitivity of 82.89%, specificity of 80.10%, positive predictive value of 84%, negative predictive value of 85.06%, and a Yoden index of 0.69. In contrast, the RF model demonstrated superior performance with an accuracy of 89.51%, sensitivity of 90.79%, specificity of 88.37%, positive predictive value of 87.34%, negative predictive value of 91.57%, and a Yoden index of 0.79. Receiver operating characteristic curve analysis revealed an area under the curve of 0.91 for the LR model and 0.94 for the RF model. These findings indicate that the RF model surpasses the LR model in specificity, sensitivity, and accuracy in predicting hospital-acquired multidrug-resistant Gram-negative infections, showcasing its greater potential for clinical application.

Ten-year incidence and impact of coronavirus infections on incidence, etiology, and antimicrobial resistance of healthcare-associated infections in a critical care unit in Western Qatar

BACKGROUND

Healthcare-associated infections (HAI) in critical patients affect the quality and safety of patient care as they impact morbidity and mortality. During the COVID-19 pandemic, an increase in the incidence rate was reported worldwide. We aim to describe the incidence of HAI in the intensive care unit (ICU) during a 10-year follow-up period and compare the incidence during the pre-COVID-19 and COVID-19 periods.

METHODS

A retrospective observational study of HAI in the medical-surgical ICU at The Cuban Hospital was conducted. The data collected include the annual incidence of HAI, its etiology, and antimicrobial resistance, using the Centers for Disease Control and Prevention definitions, except for other respiratory tract infections (RTIs).

RESULTS

A total of 155 patients had HAI, of which 130 (85.5%) were identified during COVID-19. The frequency of device-associated infections (DAI) and non-DAI was higher during COVID-19, except for Clostridium difficile infections. Etiology was frequently related to species of Enterobacter, Klebsiella, and Pseudomonas in both periods, and a higher frequency of Acinetobacter, Enterococcus, Candida, Escherichia coli, Serratia marcescens, and Stenotrophomonas maltophilia was noted during the COVID-19 period. Device utilization ratio increased by 10.7% for central lines and 12.9% for ventilators, while a reduction of 15% in urinary catheter utilization ratio was observed. DAI incidence was higher during the COVID-19, with a 2.79 higher risk of infection (95% CI: 0.93-11.21; p < 0.0050), 15.31 (2.53-625.48), and 3.25 (0.68-31.08) for CLABSI, VAP, and CAUTI, respectively.

CONCLUSION

The incidence of DAI increased during the pandemic period as compared to the pre-pandemic period, and limited evidence of the impact on antimicrobial resistance was observed. The infection control program should evaluate strategies to minimize the impact of pandemics on HAI.

Impact of the COVID-19 pandemic on the incidence, etiology, and antimicrobial resistance of healthcare-associated infections in a critical care unit in Western Qatar

BACKGROUND

Healthcare-associated infections (HAIs) in critical patients affect the quality and safety of patient care and increase patient morbidity and mortality. During the COVID-19 pandemic, an increase in the incidence of HAIs, particularly device-associated infections (DAIs), was reported worldwide. In this study, we aimed to estimate the incidence of HAIs in an intensive care unit (ICU) during a 10-year period and compare HAI incidence during the preCOVID-19 and COVID-19 periods.

METHODS

A retrospective, observational study of HAIs in the medical-surgical ICU at The Cuban Hospital was conducted. DAIs included central line-associated bloodstream infections (CLABSI), catheter-associated urinary tract infections (CAUTI), and ventilator-associated pneumonia (VAP). Data included the annual incidence of HAIs, etiology, and antimicrobial resistance, using definitions provided by the Centers for Disease Control and Prevention, except for other respiratory tract infections (RTIs).

RESULTS

155 patients with HAI infections were reported, from which 130 (85.5%) were identified during the COVID-19 period. The frequencies of DAIs and non-DAIs were higher during the COVID-19 period, except for Clostridium difficile infections. Species under Enterobacter, Klebsiella, and Pseudomonas dominated in both periods, and higher frequencies of Acinetobacter, Enterococcus, Candida, Escherichia coli, Serratia marcescens, and Stenotrophoma maltophila were noted during COVID-19 period. Device utilization ratio increased to 10.7% for central lines and 12.9% for ventilators, while a reduction of 15% in urinary catheter utilization ratio was observed. DAI incidence was higher during the COVID-19 pandemic, with risks for CLABSI, VAP, and CAUTI increased by 2.79 (95% confidence interval, 0.93-11.21; p < 0.0050), 15.31 (2.53-625.48), and 3.25 (0.68-31.08), respectively.

CONCLUSION

The incidence of DAIs increased during the pandemic period, with limited evidence of antimicrobial resistance observed. The infection control program should evaluate strategies to minimize the impact of the pandemic on HAIs.

An eight-year multicenter study on short-term peripheral intravenous catheter-related bloodstream infection rates in 100 intensive care units of 9 countries in Latin America: Argentina, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, Mexico, Panama, and Venezuela. Findings of the International Nosocomial Infection Control Consortium (INICC)

BACKGROUND

Data on short-term peripheral intravenous catheter-related bloodstream infections per 1,000 peripheral venous catheter days (PIVCR BSIs per 1,000 PVC days) rates from Latin America are not available, so they have not been thoroughly studied.

METHODS

International Nosocomial Infection Control Consortium (INICC) members conducted a prospective, surveillance study on PIVCR BSIs from January 2010 to March 2018 in 100 intensive care units (ICUs) among 41 hospitals, in 26 cities of 9 countries in Latin America (Argentina, Brazil, Colombia, Costa Rica, Dominican-Republic, Ecuador, Mexico, Panama, and Venezuela). The Centers for Disease Control and Prevention (CDC) National Health Safety Network (NHSN) definitions were applied, and INICC methodology and INICC Surveillance Online System software were used.

RESULTS

In total, 10,120 ICU patients were followed for 40,078 bed days and 38,262 PVC days. In addition, 79 PIVCR BSIs were identified, with a rate of 2.06 per 1,000 PVC days (95% confidence interval [CI], 1.635-2.257). The average length of stay (ALOS) of patients without a PIVCR BSI was 3.95 days, and the ALOS was 5.29 days for patients with a PIVCR BSI. The crude extra ALOS was 1.34 days (RR, 1.33; 95% CI, 1.0975-1.6351; P = .040).The mortality rate in patients without PIVCR BSI was 3.67%, and this rate was 6.33% in patients with a PIVCR BSI. The crude extra mortality was 1.70 times higher. The microorganism profile showed 48.5% gram-positive bacteria (coagulase-negative Staphylococci 25.7%) and 48.5% gram-negative bacteria: Acinetobacter spp, Escherichia coli, and Klebsiella spp (8.5% each one), Pseudomonas aeruginosa (5.7%), and Candida spp (2.8%). The resistances of Pseudomonas aeruginosa were 0% to amikacin and 50% to meropenem. The resistance of Acinetobacter baumanii to amikacin was 0%, and the resistance of coagulase-negative Staphylococcus to oxacillin was 75%.

CONCLUSIONS

Our PIVCR BSI rates were higher than rates from more economically developed countries and were similar to those of countries with limited resources.