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BACKGROUND: Catheter-Associated Urinary Tract Infections (CAUTIs) frequently occur in the intensive care unit (ICU) and are correlated with a significant burden. METHODS: We implemented a strategy involving a 9-element bundle, education, surveillance of CAUTI rates and clinical outcomes, monitoring compliance with bundle components, feedback of CAUTI rates and performance feedback. This was executed in 299 ICUs across 32 low- and middle-income countries. The dependent variable was CAUTI per 1,000 UC days, assessed at baseline and throughout the intervention, in the second month, third month, 4 to 15 months, 16 to 27 months, and 28 to 39 months. Comparisons were made using a 2-sample t test, and the exposure-outcome relationship was explored using a generalized linear mixed model with a Poisson distribution. RESULTS: Over the course of 978,364 patient days, 150,258 patients utilized 652,053 UC-days. The rates of CAUTI per 1,000 UC days were measured. The rates decreased from 14.89 during the baseline period to 5.51 in the second month (risk ratio [RR] = 0.37; 95% confidence interval [CI] = 0.34-0.39; P < .001), 3.79 in the third month (RR = 0.25; 95% CI = 0.23-0.28; P < .001), 2.98 in the 4 to 15 months (RR = 0.21; 95% CI = 0.18-0.22; P < .001), 1.86 in the 16 to 27 months (RR = 0.12; 95% CI = 0.11-0.14; P < .001), and 1.71 in the 28 to 39 months (RR = 0.11; 95% CI = 0.09-0.13; P < .001). CONCLUSIONS: Our intervention, without substantial costs or additional staffing, achieved an 89% reduction in CAUTI incidence in ICUs across 32 countries, demonstrating feasibility in ICUs of low- and middle-income countries.
Assuntos
Infecções Relacionadas a Cateter , Unidades de Terapia Intensiva , Infecções Urinárias , Humanos , Infecções Relacionadas a Cateter/epidemiologia , Infecções Relacionadas a Cateter/prevenção & controle , Infecções Urinárias/epidemiologia , Infecções Urinárias/prevenção & controle , Ásia/epidemiologia , América Latina/epidemiologia , Oriente Médio/epidemiologia , Masculino , Feminino , Europa Oriental/epidemiologia , Controle de Infecções/métodos , Pessoa de Meia-Idade , Infecção Hospitalar/prevenção & controle , Infecção Hospitalar/epidemiologia , IdosoRESUMO
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.
Assuntos
Infecções Relacionadas a Cateter , Infecção Hospitalar , Infecções Urinárias , Humanos , Infecções Relacionadas a Cateter/epidemiologia , Catéteres , Infecção Hospitalar/prevenção & controle , Hospitais Públicos , Incidência , Unidades de Terapia Intensiva , Estudos Prospectivos , Infecções Urinárias/epidemiologiaRESUMO
Objectives: To identify urinary catheter (UC)-associated urinary tract infections (CAUTI) incidence and risk factors (RF) in nine Middle Eastern countries. Methods: We conducted a prospective cohort study between 1 January 2014 and 2 December 2022 in 212 intensive care units (ICUs) of 67 hospitals in 38 cities in nine Middle Eastern countries (Bahrain, Egypt, Jordan, Kuwait, Lebanon, Morocco, Saudi Arabia, Turkey, and the UAE). To estimate CAUTI incidence, we used the number of UC days as denominator and the number of CAUTIs as numerator. To estimate CAUTI RFs, we analyzed the following 10 variables using multiple logistic regression: patient sex, age, length of stay (LOS) before CAUTI acquisition, UC-days before CAUTI acquisition, UC-device utilization (DU) ratio, hospitalization type, ICU type, facility-ownership, country income level classified by World Bank, and time period. Results: Among 50â 637 patients hospitalized for 434â 523 patient days, there were 580 cases of acquired CAUTIs. The pooled CAUTI rate per 1000 UC days was 1.84. The following variables were independently associated with CAUTI: age, rising risk 1.0% yearly (adjusted odds ratio [aOR] = 1.01, 95% CI: 1.01-1.02; p < 0.0001); female sex (aOR = 1.31, 95% CI: 1.09-1.56; p < 0.0001); LOS before CAUTI acquisition, rising risk 6.0% daily (aOR = 1.06, 95% CI: 1.05-1.06; p < 0.0001); and UC/DU ratio (aOR = 1.11, 95% CI: 1.06-1.14; p < 0.0001). Patients from lower-middle-income countries (aOR = 4.11, 95% CI: 2.49-6.76; p < 0.0001) had a similar CAUTI risk to the upper-middle countries (aOR = 3.75, 95% CI: 1.83-7.68; p < 0.0001). The type of ICU with the highest risk for CAUTI was neurologic ICU (aOR = 27.35, 95% CI: 23.03-33.12; p < 0.0001), followed by medical ICU (aOR = 6.18, 95% CI: 2.07-18.53; p < 0.0001) when compared to cardiothoracic ICU. The periods 2014-2016 (aOR = 7.36, 95% CI: 5.48-23.96; p < 0.001) and 2017-2019 (aOR = 1.15, 95% CI: 3.46-15.61; p < 0.001) had a similar risk to each other, but a higher risk compared to 2020-2022. Conclusions: The following CAUTI RFs are unlikely to change: age, sex, ICU type, and country income level. Based on these findings, it is suggested to focus on reducing LOS, UC/DU ratio, and implementing evidence-based CAUTI prevention recommendations.
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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.
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PURPOSE: The International Nosocomial Infection Control Consortium (INICC) found a high mortality rate in ICUs of the Middle East (ME). Our goal was to identify mortality risk factor (RF) in ICUs of the ME. MATERIALS: From 08/01/2003 to 02/12/2022, we conducted a prospective cohort study in 236 ICUs of 77 hospitals in 44 cities in 10 countries of ME. We analyzed 16 independent variables using multiple logistic regression. RESULTS: 66,440 patients, hospitalized during 652,167 patient-days, and 13,974 died. We identified following mortality RF: Age (adjusted odds ratio (aOR):1.02;p < 0.0001) rising risk 2% yearly; length of stay (LOS) (aOR:1.02;p < 0.0001) rising the risk 2% per day; central line (CL)-days (aOR:1.01;p < 0.0001) rising risk 1% per day; mechanicalventilator (MV) utilization-ratio (aOR:14.51;p < 0.0001); CL-associated bloodstream infection (CLABSI) acquisition (aOR):1.49;p < 0.0001); ventilator-associated pneumonia (VAP) acquisition (aOR:1.50;p < 0.0001); female gender (OR:1.14;p < 0.0001); hospitalization at a public-hospital (OR:1.31;p < 0.0001); and medical-hospitalization (aOR:1.64;p < 0.0001). High-income countries showed lowest risk (aOR:0.59;p < 0.0001). CONCLUSION: Some identified RF are unlikely to change, such as country income-level, facility ownership, hospitalization type, gender, and age. Some can be modified; LOS, CL-use, MV-use, CLABSI, VAP. So, to lower the mortality risk in ICUs, we recommend focusing on strategies to shorten the LOS, reduce CL and MV-utilization, and use evidence-based recommendations to prevent CLABSI and VAP.