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Background: Surgical site infection (SSI) rates are higher in low-resource countries (LRC) than in high-income counterparts., Methods: Prospective cohort study using the INICC Surveillance Online System, from 116 hospitals in 75 cities across 25 Latin-American, Asian, Eastern-European, and Middle-Eastern countries: Argentina, Bahrain, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, Egypt, Honduras, India, Kosovo, Kuwait, Lebanon, Mexico, Mongolia, Pakistan, Papua New Guinea, Philippines, Poland, Romania, Saudi Arabia, Thailand, Turkey, Venezuela, Vietnam. CDC/NHSN definitions were applied. Surgical procedures (SPs) were categorized according to the International Classification of Diseases criteria., Results: From 2014 to 2023, we collected data on 1,251 SSIs associated with 56,617 SPs. SSI rates were significantly higher in SPs of INICC compared to CDC/NHSN data: hip prosthesis (3.68% vs 0.67%, relative risk [RR]=5.46, 95% confidence interval [CI]=3.71-8.03, P<.001), knee prosthesis (2.02% vs 0.58%, RR=3.49, 95% CI=1.87-6.49, P<.001), coronary artery bypass (4.16% vs 1.37%, RR=3.03, 95% CI=2.35-3.91, P<.001), peripheral vascular bypass (15.69% vs 2.93%, RR=5.35, 95% CI=2.30-12.48, P<.001), abdominal aortic aneurysm repair (8.51% vs 2.12%, RR=4.02, 95% CI=2.11-7.65, P<.001), spinal fusion (6.47% vs 0.70%, RR=9.27, 95% CI=6.21-13.84, P<.001), laminectomy (2.68% vs 0.72%, RR=3.75, 95% CI=2.36-5.95, P<.001), among others., Conclusions: Elevated SSI rates in LRCs emphasize the need for effective interventions., (Copyright © 2024 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Background: Reporting on the International Nosocomial Infection Control Consortium study results from 2015 to 2020, conducted in 630 intensive care units across 123 cities in 45 countries spanning Africa, Asia, Eastern Europe, Latin America, and the Middle East., Methods: Prospective intensive care unit patient data collected via International Nosocomial Infection Control Consortium Surveillance Online System. Centers for Disease Control and Prevention/National Health Care Safety Network definitions applied for device-associated health care-associated infections (DA-HAI)., Results: We gathered data from 204,770 patients, 1,480,620 patient days, 936,976 central line (CL)-days, 637,850 mechanical ventilators (MV)-days, and 1,005,589 urinary catheter (UC)-days. Our results showed 4,270 CL-associated bloodstream infections, 7,635 ventilator-associated pneumonia, and 3,005 UC-associated urinary tract infections. The combined rates of DA-HAIs were 7.28%, and 10.07 DA-HAIs per 1,000 patient days. CL-associated bloodstream infections occurred at 4.55 per 1,000 CL-days, ventilator-associated pneumonias at 11.96 per 1,000 MV-days, and UC-associated urinary tract infections at 2.91 per 1,000 UC days. In terms of resistance, Pseudomonas aeruginosa showed 50.73% resistance to imipenem, 44.99% to ceftazidime, 37.95% to ciprofloxacin, and 34.05% to amikacin. Meanwhile, Klebsiella spp had resistance rates of 48.29% to imipenem, 72.03% to ceftazidime, 61.78% to ciprofloxacin, and 40.32% to amikacin. Coagulase-negative Staphylococci and Staphylococcus aureus displayed oxacillin resistance in 81.33% and 53.83% of cases, respectively., Conclusions: The high rates of DA-HAI and bacterial resistance emphasize the ongoing need for continued efforts to control them., (Copyright © 2024 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Background: Healthcare-associated infections (HAI) and antimicrobial use (AMU) are drivers for antimicrobial resistance, and robust data are required to inform interventions and track changes. We aimed to estimate the prevalence of HAI and AMU at Port Moresby General Hospital (PMGH), the largest hospital in Papua New Guinea., Methods: We did a point prevalence survey (PPS) on HAI and AMU at PMGH in May 2023 using the European Centre for Disease Prevention and Control (ECDC) PPS protocol. We included all critical care patients and randomly sampled half of the patients in other acute-care wards. We calculated weighted HAI and AMU prevalence estimates to account for this sampling strategy. Weighted HAI estimates were also calculated for an expanded definition that included physician diagnosis., Findings: Of 361 patients surveyed in 18 wards, the ECDC protocol identified 28 HAIs in 26 patients, resulting in a weighted HAI prevalence of 6.7% (95% CI: 4.6, 9.8). Surgical site infections (9/28, 32%) were the most common HAI. When adding physician diagnosis to the ECDC definitions, more skin and soft tissue, respiratory, and bloodstream HAIs were detected, and the weighted HAI prevalence was 12.4% (95% CI: 9.4, 16.3). The prevalence of AMU was 66.5% (95%CI: 61.3, 71.2), and 73.2% (263/359) of antibiotics were from the World Health Organization Access group., Interpretation: This is the first reported hospital PPS of HAI and AMU in Papua New Guinea. These results can be used to prioritise interventions, and as a baseline against which future point prevalence surveys can be compared., Funding: Australian Government Department of Foreign Affairs and Trade and Therapeutic Guidelines Limited Australia., Competing Interests: There are none to declare relevant to this work. TP is the recipient of a Medical Research Future Fund grant [GNT2014635] and is a Board Director for the Australasian Clinical Trial Alliance. KC receives royalties from UpToDate as co-author of chapter “Daptomycin: An overview”, and their workplace has been paid Honoraria for presentations., (© 2024 The Author(s).)

Objective: To identify urinary catheter (UC)-associated urinary tract infection (CAUTI) incidence and risk factors., Design: A prospective cohort study., Setting: The study was conducted across 623 ICUs of 224 hospitals in 114 cities in 37 African, Asian, Eastern European, Latin American, and Middle Eastern countries., Participants: The study included 169,036 patients, hospitalized for 1,166,593 patient days., Methods: Data collection took place from January 1, 2014, to February 12, 2022. We identified CAUTI rates per 1,000 UC days and UC device utilization (DU) ratios stratified by country, by ICU type, by facility ownership type, by World Bank country classification by income level, and by UC type. To estimate CAUTI risk factors, we analyzed 11 variables using multiple logistic regression., Results: Participant patients acquired 2,010 CAUTIs. The pooled CAUTI rate was 2.83 per 1,000 UC days. The highest CAUTI rate was associated with the use of suprapubic catheters (3.93 CAUTIs per 1,000 UC days); with patients hospitalized in Eastern Europe (14.03) and in Asia (6.28); with patients hospitalized in trauma (7.97), neurologic (6.28), and neurosurgical ICUs (4.95); with patients hospitalized in lower-middle-income countries (3.05); and with patients in public hospitals (5.89).The following variables were independently associated with CAUTI: Age (adjusted odds ratio [aOR], 1.01; P < .0001), female sex (aOR, 1.39; P < .0001), length of stay (LOS) before CAUTI-acquisition (aOR, 1.05; P < .0001), UC DU ratio (aOR, 1.09; P < .0001), public facilities (aOR, 2.24; P < .0001), and neurologic ICUs (aOR, 11.49; P < .0001)., Conclusions: CAUTI rates are higher in patients with suprapubic catheters, in middle-income countries, in public hospitals, in trauma and neurologic ICUs, and in Eastern European and Asian facilities.Based on findings regarding risk factors for CAUTI, focus on reducing LOS and UC utilization is warranted, as well as implementing evidence-based CAUTI-prevention recommendations.

Background: Identify urinary catheter (UC)-associated urinary tract infections (CAUTI) incidence and risk factors (RF) in 235 ICUs in 8 Asian countries: India, Malaysia, Mongolia, Nepal, Pakistan, the Philippines, Thailand, and Vietnam., Methods: From January 1, 2014, to February 12, 2022, we conducted a prospective cohort study. To estimate CAUTI incidence, the number of UC days was the denominator, and CAUTI was the numerator. To estimate CAUTI RFs, we analyzed 11 variables using multiple logistic regression., Results: 84,920 patients hospitalized for 499,272 patient days acquired 869 CAUTIs. The pooled CAUTI rate per 1,000 UC-days was 3.08; for those using suprapubic-catheters (4.11); indwelling-catheters (2.65); trauma-ICU (10.55), neurologic-ICU (7.17), neurosurgical-ICU (5.28); in lower-middle-income countries (3.05); in upper-middle-income countries (1.71); at public-hospitals (5.98), at private-hospitals (3.09), at teaching-hospitals (2.04). The following variables were identified as CAUTI RFs: Age (adjusted odds ratio [aOR] = 1.01; 95% CI = 1.01-1.02; P < .0001); female sex (aOR = 1.39; 95% CI = 1.21-1.59; P < .0001); using suprapubic-catheter (aOR = 4.72; 95% CI = 1.69-13.21; P < .0001); length of stay before CAUTI acquisition (aOR = 1.04; 95% CI = 1.04-1.05; P < .0001); UC and device utilization-ratio (aOR = 1.07; 95% CI = 1.01-1.13; P = .02); hospitalized at trauma-ICU (aOR = 14.12; 95% CI = 4.68-42.67; P < .0001), neurologic-ICU (aOR = 14.13; 95% CI = 6.63-30.11; P < .0001), neurosurgical-ICU (aOR = 13.79; 95% CI = 6.88-27.64; P < .0001); public-facilities (aOR = 3.23; 95% CI = 2.34-4.46; P < .0001)., Discussion: CAUTI rate and risk are higher for older patients, women, hospitalized at trauma-ICU, neurologic-ICU, neurosurgical-ICU, and public facilities. All of them are unlikely to change., Conclusions: It is suggested to focus on reducing the length of stay and the Urinary catheter device utilization ratio, avoiding suprapubic catheters, and implementing evidence-based CAUTI prevention recommendations., (Copyright © 2023 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Objective: To identify central-line (CL)-associated bloodstream infection (CLABSI) incidence and risk factors in low- and middle-income countries (LMICs)., Design: From July 1, 1998, to February 12, 2022, we conducted a multinational multicenter prospective cohort study using online standardized surveillance system and unified forms., Setting: The study included 728 ICUs of 286 hospitals in 147 cities in 41 African, Asian, Eastern European, Latin American, and Middle Eastern countries., Patients: In total, 278,241 patients followed during 1,815,043 patient days acquired 3,537 CLABSIs., Methods: For the CLABSI rate, we used CL days as the denominator and the number of CLABSIs as the numerator. Using multiple logistic regression, outcomes are shown as adjusted odds ratios (aORs)., Results: The pooled CLABSI rate was 4.82 CLABSIs per 1,000 CL days, which is significantly higher than that reported by the Centers for Disease Control and Prevention National Healthcare Safety Network (CDC NHSN). We analyzed 11 variables, and the following variables were independently and significantly associated with CLABSI: length of stay (LOS), risk increasing 3% daily (aOR, 1.03; 95% CI, 1.03-1.04; P < .0001), number of CL days, risk increasing 4% per CL day (aOR, 1.04; 95% CI, 1.03-1.04; P < .0001), surgical hospitalization (aOR, 1.12; 95% CI, 1.03-1.21; P < .0001), tracheostomy use (aOR, 1.52; 95% CI, 1.23-1.88; P < .0001), hospitalization at a publicly owned facility (aOR, 3.04; 95% CI, 2.31-4.01; P <.0001) or at a teaching hospital (aOR, 2.91; 95% CI, 2.22-3.83; P < .0001), hospitalization in a middle-income country (aOR, 2.41; 95% CI, 2.09-2.77; P < .0001). The ICU type with highest risk was adult oncology (aOR, 4.35; 95% CI, 3.11-6.09; P < .0001), followed by pediatric oncology (aOR, 2.51;95% CI, 1.57-3.99; P < .0001), and pediatric (aOR, 2.34; 95% CI, 1.81-3.01; P < .0001). The CL type with the highest risk was internal-jugular (aOR, 3.01; 95% CI, 2.71-3.33; P < .0001), followed by femoral (aOR, 2.29; 95% CI, 1.96-2.68; P < .0001). Peripherally inserted central catheter (PICC) was the CL with the lowest CLABSI risk (aOR, 1.48; 95% CI, 1.02-2.18; P = .04)., Conclusions: The following CLABSI risk factors are unlikely to change: country income level, facility ownership, hospitalization type, and ICU type. These findings suggest a focus on reducing LOS, CL days, and tracheostomy; using PICC instead of internal-jugular or femoral CL; and implementing evidence-based CLABSI prevention recommendations.

Objective: Rates of ventilator-associated pneumonia (VAP) in low- and middle-income countries (LMIC) are several times above those of high-income countries. The objective of this study was to identify risk factors (RFs) for VAP cases in ICUs of LMICs., Design: Prospective cohort study., Setting: This study was conducted across 743 ICUs of 282 hospitals in 144 cities in 42 Asian, African, European, Latin American, and Middle Eastern countries., Participants: The study included patients admitted to ICUs across 24 years., Results: In total, 289,643 patients were followed during 1,951,405 patient days and acquired 8,236 VAPs. We analyzed 10 independent variables. Multiple logistic regression identified the following independent VAP RFs: male sex (adjusted odds ratio [aOR], 1.22; 95% confidence interval [CI], 1.16-1.28; P < .0001); longer length of stay (LOS), which increased the risk 7% per day (aOR, 1.07; 95% CI, 1.07-1.08; P < .0001); mechanical ventilation (MV) utilization ratio (aOR, 1.27; 95% CI, 1.23-1.31; P < .0001); continuous positive airway pressure (CPAP), which was associated with the highest risk (aOR, 13.38; 95% CI, 11.57-15.48; P < .0001); tracheostomy connected to a MV, which was associated with the next-highest risk (aOR, 8.31; 95% CI, 7.21-9.58; P < .0001); endotracheal tube connected to a MV (aOR, 6.76; 95% CI, 6.34-7.21; P < .0001); surgical hospitalization (aOR, 1.23; 95% CI, 1.17-1.29; P < .0001); admission to a public hospital (aOR, 1.59; 95% CI, 1.35-1.86; P < .0001); middle-income country (aOR, 1.22; 95% CI, 15-1.29; P < .0001); admission to an adult-oncology ICU, which was associated with the highest risk (aOR, 4.05; 95% CI, 3.22-5.09; P < .0001), admission to a neurologic ICU, which was associated with the next-highest risk (aOR, 2.48; 95% CI, 1.78-3.45; P < .0001); and admission to a respiratory ICU (aOR, 2.35; 95% CI, 1.79-3.07; P < .0001). Admission to a coronary ICU showed the lowest risk (aOR, 0.63; 95% CI, 0.51-0.77; P < .0001)., Conclusions: Some identified VAP RFs are unlikely to change: sex, hospitalization type, ICU type, facility ownership, and country income level. Based on our results, we recommend focusing on strategies to reduce LOS, to reduce the MV utilization ratio, to limit CPAP use and implementing a set of evidence-based VAP prevention recommendations., (© The Author(s) 2023.)