4 results
Incidence and risk factors for catheter-associated urinary tract infection in 623 intensive care units throughout 37 Asian, African, Eastern European, Latin American, and Middle Eastern nations: A multinational prospective research of INICC
- Victor Daniel Rosenthal, Ruijie Yin, Eric Christopher Brown, Brandon Hochahn Lee, Camilla Rodrigues, Sheila Nainan Myatra, Mohit Kharbanda, Prasad Rajhans, Yatin Mehta, Subhash Kumar Todi, Sushmita Basu, Suneeta Sahu, Shakti Bedanta Mishra, Rajesh Chawla, Pravin K. Nair, Rajalakshmi Arjun, Deepak Singla, Kavita Sandhu, Vijayanand Palaniswamy, Arpita Bhakta, Mohd-Basri Mat Nor, Tai Chian-Wern, Ider Bat-Erdene, Subhash P. Acharya, Aamer Ikram, Nellie Tumu, Lili Tao, Gustavo Andres Alvarez, Sandra Liliana Valderrama-Beltran, Luisa Fernanda Jiménez-Alvarez, Claudia Milena Henao-Rodas, Katherine Gomez, Lina Alejandra Aguilar-Moreno, Yuliana Andrea Cano-Medina, Maria Adelia Zuniga-Chavarria, Guadalupe Aguirre-Avalos, Alejandro Sassoe-Gonzalez, Mary Cruz Aleman-Bocanegra, Blanca Estela Hernandez-Chena, Maria Isabel Villegas-Mota, Daisy Aguilar-de-Moros, Alex Castañeda-Sabogal, Eduardo Alexandrino Medeiros, Lourdes Dueñas, Nilton Yhuri Carreazo, Estuardo Salgado, Safaa Abdulaziz-Alkhawaja, Hala Mounir Agha, Amani Ali El-Kholy, Mohammad Abdellatif Daboor, Ertugrul Guclu, Oguz Dursun, Iftihar Koksal, Merve Havan, Suna Secil Ozturk-Deniz, Dincer Yildizdas, Emel Okulu, Abeer Aly Omar, Ziad A. Memish, Jarosław Janc, Sona Hlinkova, Wieslawa Duszynska, George Horhat-Florin, Lul Raka, Michael M. Petrov, Zhilin Jin
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 45 / Issue 5 / May 2024
- Published online by Cambridge University Press:
- 04 January 2024, pp. 567-575
- Print publication:
- May 2024
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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.
Multinational prospective cohort study of rates and risk factors for ventilator-associated pneumonia over 24 years in 42 countries of Asia, Africa, Eastern Europe, Latin America, and the Middle East: Findings of the International Nosocomial Infection Control Consortium (INICC)
- Victor Daniel Rosenthal, Zhilin Jin, Ziad A. Memish, Camilla Rodrigues, Sheila Nainan Myatra, Mohit Kharbanda, Sandra Liliana Valderrama-Beltran, Yatin Mehta, Mohammad Abdellatif Daboor, Subhash Kumar Todi, Guadalupe Aguirre-Avalos, Ertugrul Guclu, Chin Seng Gan, Luisa Fernanda Jiménez Alvarez, Rajesh Chawla, Sona Hlinkova, Rajalakshmi Arjun, Hala Mounir Agha, Maria Adelia Zuniga Chavarria, Narangarav Davaadagva, Mat Nor Mohd Basri, Katherine Gomez, Daisy Aguilar De Moros, Chian-Wern Tai, Alejandro Sassoe Gonzalez, Lina Alejandra Aguilar Moreno, Kavita Sandhu, Jarosław Janc, Mary Cruz Aleman Bocanegra, Dincer Yildizdas, Yuliana Andrea Cano Medina, Maria Isabel Villegas Mota, Abeer Aly Omar, Wieslawa Duszynska, Souad BelKebir, Amani Ali El-Kholy, Safaa Abdulaziz Alkhawaja, George Horhat Florin, Eduardo Alexandrino Medeiros, Lili Tao, Nellie Tumu, May Gamar Elanbya, Reshma Dongol, Vesna Mioljević, Lul Raka, Lourdes Dueñas, Nilton Yhuri Carreazo, Tarek Dendane, Aamer Ikram, Souha S. Kanj, Michael M. Petrov, Asma Bouziri, Nguyen Viet Hung, Vladislav Belskiy, Naheed Elahi, María Marcela Bovera, Ruijie Yin
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- Journal:
- Antimicrobial Stewardship & Healthcare Epidemiology / Volume 3 / Issue 1 / 2023
- Published online by Cambridge University Press:
- 09 January 2023, e6
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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.
Risk factors for mortality over 18 years in 317 ICUs in 9 Asian countries: The impact of healthcare-associated infections
- Victor Daniel Rosenthal, Zhilin Jin, Camilla Rodrigues, Sheila Nainan Myatra, Jigeeshu Vasishth Divatia, Sanjay K. Biswas, Anjana Mahesh Shrivastava, Mohit Kharbanda, Bikas Nag, Yatin Mehta, Smita Sarma, Subhash Kumar Todi, Mahuya Bhattacharyya, Arpita Bhakta, Chin Seng Gan, Michelle Siu Yee Low, Marissa Bt Madzlan Kushairi, Soo Lin Chuah, Qi Yuee Wang, Rajesh Chawla, Aakanksha Chawla Jain, Sudha Kansal, Roseleen Kaur Bali, Rajalakshmi Arjun, Narangarav Davaadagva, Batsuren Bat-Erdene, Tsolmon Begzjav, Mat Nor Mohd Basri, Chian-Wern Tai, Pei-Chuen Lee, Swee-Fong Tang, Kavita Sandhu, Binesh Badyal, Ankush Arora, Deep Sengupta, Ruijie Yin
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 44 / Issue 8 / August 2023
- Published online by Cambridge University Press:
- 24 October 2022, pp. 1261-1266
- Print publication:
- August 2023
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Objective:
To identify risk factors for mortality in intensive care units (ICUs) in Asia.
Design:Prospective cohort study.
Setting:The study included 317 ICUs of 96 hospitals in 44 cities in 9 countries of Asia: China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, and Vietnam.
Participants:Patients aged >18 years admitted to ICUs.
Results:In total, 157,667 patients were followed during 957,517 patient days, and 8,157 HAIs occurred. In multiple logistic regression, the following variables were associated with an increased mortality risk: central-line–associated bloodstream infection (CLABSI; aOR, 2.36; P < .0001), ventilator-associated event (VAE; aOR, 1.51; P < .0001), catheter-associated urinary tract infection (CAUTI; aOR, 1.04; P < .0001), and female sex (aOR, 1.06; P < .0001). Older age increased mortality risk by 1% per year (aOR, 1.01; P < .0001). Length of stay (LOS) increased mortality risk by 1% per bed day (aOR, 1.01; P < .0001). Central-line days increased mortality risk by 2% per central-line day (aOR, 1.02; P < .0001). Urinary catheter days increased mortality risk by 4% per urinary catheter day (aOR, 1.04; P < .0001). The highest mortality risks were associated with mechanical ventilation utilization ratio (aOR, 12.48; P < .0001), upper middle-income country (aOR, 1.09; P = .033), surgical hospitalization (aOR, 2.17; P < .0001), pediatric oncology ICU (aOR, 9.90; P < .0001), and adult oncology ICU (aOR, 4.52; P < .0001). Patients at university hospitals had the lowest mortality risk (aOR, 0.61; P < .0001).
Conclusions:Some variables associated with an increased mortality risk are unlikely to change, such as age, sex, national economy, hospitalization type, and ICU type. Some other variables can be modified, such as LOS, central-line use, urinary catheter use, and mechanical ventilation as well as and acquisition of CLABSI, VAE, or CAUTI. To reduce mortality risk, we shall focus on strategies to reduce LOS; strategies to reduce central-line, urinary catheter, and mechanical ventilation use; and HAI prevention recommendations.
Device-Associated Infection Rates in 20 Cities of India, Data Summary for 2004–2013: Findings of the International Nosocomial Infection Control Consortium
- Yatin Mehta, Namita Jaggi, Victor Daniel Rosenthal, Maithili Kavathekar, Asmita Sakle, Nita Munshi, Murali Chakravarthy, Subhash Kumar Todi, Narinder Saini, Camilla Rodrigues, Karthikeya Varma, Rekha Dubey, Mohammad Mukhit Kazi, F. E. Udwadia, Sheila Nainan Myatra, Sweta Shah, Arpita Dwivedy, Anil Karlekar, Sanjeev Singh, Nagamani Sen, Kashmira Limaye-Joshi, Bala Ramachandran, Suneeta Sahu, Nirav Pandya, Purva Mathur, Samir Sahu, Suman P. Singh, Anil Kumar Bilolikar, Siva Kumar, Preeti Mehta, Vikram Padbidri, N. Gita, Saroj K. Patnaik, Thara Francis, Anup R. Warrier, S. Muralidharan, Pravin Kumar Nair, Vaibhavi R. Subhedar, Ramachadran Gopinath, Afzal Azim, Sanjeev Sood
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 37 / Issue 2 / February 2016
- Published online by Cambridge University Press:
- 26 November 2015, pp. 172-181
- Print publication:
- February 2016
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OBJECTIVE
To report the International Nosocomial Infection Control Consortium surveillance data from 40 hospitals (20 cities) in India 2004–2013.
METHODSSurveillance using US National Healthcare Safety Network’s criteria and definitions, and International Nosocomial Infection Control Consortium methodology.
RESULTSWe collected data from 236,700 ICU patients for 970,713 bed-days
Pooled device-associated healthcare-associated infection rates for adult and pediatric ICUs were 5.1 central line–associated bloodstream infections (CLABSIs)/1,000 central line–days, 9.4 cases of ventilator-associated pneumonia (VAPs)/1,000 mechanical ventilator–days, and 2.1 catheter-associated urinary tract infections/1,000 urinary catheter–days
In neonatal ICUs (NICUs) pooled rates were 36.2 CLABSIs/1,000 central line–days and 1.9 VAPs/1,000 mechanical ventilator–days
Extra length of stay in adult and pediatric ICUs was 9.5 for CLABSI, 9.1 for VAP, and 10.0 for catheter-associated urinary tract infections. Extra length of stay in NICUs was 14.7 for CLABSI and 38.7 for VAP
Crude extra mortality was 16.3% for CLABSI, 22.7% for VAP, and 6.6% for catheter-associated urinary tract infections in adult and pediatric ICUs, and 1.2% for CLABSI and 8.3% for VAP in NICUs
Pooled device use ratios were 0.21 for mechanical ventilator, 0.39 for central line, and 0.53 for urinary catheter in adult and pediatric ICUs; and 0.07 for mechanical ventilator and 0.06 for central line in NICUs.
CONCLUSIONSDespite a lower device use ratio in our ICUs, our device-associated healthcare-associated infection rates are higher than National Healthcare Safety Network, but lower than International Nosocomial Infection Control Consortium Report.
Infect. Control Hosp. Epidemiol. 2016;37(2):172–181