Multinational prospective cohort study over 18 years of the risk factors for ventilator-associated pneumonia in 9 Asian countries: INICC findings
•Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries.•Male gender, age, public and private hospitals increase the risk of VAP.•Medical-Surgical, neurologic, and medical ICUs showed the highest risk for VAP.•Device utilization and length of stay increase significantly...
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| Vydáno v: | American journal of infection control Ročník 51; číslo 7; s. 751 - 757 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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United States
Elsevier Inc
01.07.2023
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| ISSN: | 0196-6553, 1527-3296, 1527-3296 |
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| Abstract | •Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries.•Male gender, age, public and private hospitals increase the risk of VAP.•Medical-Surgical, neurologic, and medical ICUs showed the highest risk for VAP.•Device utilization and length of stay increase significantly the risk of VAP.•It is recommended limiting use of tracheostomy.
Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors.
We conducted a prospective cohort study, between March 27, 2004 and November 2, 2022, in 279 ICUs of 95 hospitals in 44 cities in 9 Asian countries (China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam).
153,717 patients, followed during 892,996 patient-days, acquired 3,369 VAPs. We analyzed 10 independent variables.
Using multiple logistic regression we identified following independent VAP RFs= Age, rising VAP risk 1% per year (aOR=1.01; 95%CI=1.00-1.01, P<.0001); male gender (OR=1.17; 95%CI=1.08-1.26, P<.0001); length of stay, rising VAP risk 7% daily (aOR=1.07; 95%CI=1.06-1.07, P<.0001); mechanical ventilation (MV) device utilization (DU) ratio (OR=1.43; 95%CI=1.36-1.51; p<.0001); tracheostomy connected to a MV (OR=11.17; 95%CI=9.55-14.27; p<.0001); public (OR=1.84; 95%CI=1.49-2.26, P<.0001), and private (OR=1.57; 95%CI=1.29-1.91, P<.0001) compared with teaching hospitals; upper-middle income country (OR=1.86; 95%CI=1.63-2.14, P<.0001). Regarding ICUs, Medical-Surgical (OR=4.61; 95%CI=3.43-6.17; P<.0001), Neurologic (OR=3.76; 95%CI=2.43-5.82; P<.0001), Medical (OR=2.78; 95%CI=2.04-3.79; P<.0001), and Neuro-Surgical (OR=2.33; 95%CI=1.61-3.92; P<.0001) showed the highest risk.
Some identified VAP RFs are unlikely to change= age, gender, ICU type, facility ownership, country income level. Based on our results, we recommend limit use of tracheostomy, reducing LOS, reducing the MV/DU ratio, and implementing an evidence-based set of VAP prevention recommendations. |
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| AbstractList | Highlights•Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries. •Male gender, age, public and private hospitals increase the risk of VAP. •Medical-Surgical, neurologic, and medical ICUs showed the highest risk for VAP. •Device utilization and length of stay increase significantly the risk of VAP. •It is recommended limiting use of tracheostomy. Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors.BACKGROUNDVentilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors.We conducted a prospective cohort study, between March 27, 2004 and November 2, 2022, in 279 ICUs of 95 hospitals in 44 cities in 9 Asian countries (China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam).METHODSWe conducted a prospective cohort study, between March 27, 2004 and November 2, 2022, in 279 ICUs of 95 hospitals in 44 cities in 9 Asian countries (China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam).153,717 patients, followed during 892,996 patient-days, acquired 3,369 VAPs. We analyzed 10 independent variables. Using multiple logistic regression we identified following independent VAP RFs= Age, rising VAP risk 1% per year (aOR=1.01; 95%CI=1.00-1.01, P<.0001); male gender (OR=1.17; 95%CI=1.08-1.26, P<.0001); length of stay, rising VAP risk 7% daily (aOR=1.07; 95%CI=1.06-1.07, P<.0001); mechanical ventilation (MV) device utilization (DU) ratio (OR=1.43; 95%CI=1.36-1.51; p<.0001); tracheostomy connected to a MV (OR=11.17; 95%CI=9.55-14.27; p<.0001); public (OR=1.84; 95%CI=1.49-2.26, P<.0001), and private (OR=1.57; 95%CI=1.29-1.91, P<.0001) compared with teaching hospitals; upper-middle income country (OR=1.86; 95%CI=1.63-2.14, P<.0001). Regarding ICUs, Medical-Surgical (OR=4.61; 95%CI=3.43-6.17; P<.0001), Neurologic (OR=3.76; 95%CI=2.43-5.82; P<.0001), Medical (OR=2.78; 95%CI=2.04-3.79; P<.0001), and Neuro-Surgical (OR=2.33; 95%CI=1.61-3.92; P<.0001) showed the highest risk.RESULTS153,717 patients, followed during 892,996 patient-days, acquired 3,369 VAPs. We analyzed 10 independent variables. Using multiple logistic regression we identified following independent VAP RFs= Age, rising VAP risk 1% per year (aOR=1.01; 95%CI=1.00-1.01, P<.0001); male gender (OR=1.17; 95%CI=1.08-1.26, P<.0001); length of stay, rising VAP risk 7% daily (aOR=1.07; 95%CI=1.06-1.07, P<.0001); mechanical ventilation (MV) device utilization (DU) ratio (OR=1.43; 95%CI=1.36-1.51; p<.0001); tracheostomy connected to a MV (OR=11.17; 95%CI=9.55-14.27; p<.0001); public (OR=1.84; 95%CI=1.49-2.26, P<.0001), and private (OR=1.57; 95%CI=1.29-1.91, P<.0001) compared with teaching hospitals; upper-middle income country (OR=1.86; 95%CI=1.63-2.14, P<.0001). Regarding ICUs, Medical-Surgical (OR=4.61; 95%CI=3.43-6.17; P<.0001), Neurologic (OR=3.76; 95%CI=2.43-5.82; P<.0001), Medical (OR=2.78; 95%CI=2.04-3.79; P<.0001), and Neuro-Surgical (OR=2.33; 95%CI=1.61-3.92; P<.0001) showed the highest risk.Some identified VAP RFs are unlikely to change= age, gender, ICU type, facility ownership, country income level. Based on our results, we recommend limit use of tracheostomy, reducing LOS, reducing the MV/DU ratio, and implementing an evidence-based set of VAP prevention recommendations.CONCLUSIONSSome identified VAP RFs are unlikely to change= age, gender, ICU type, facility ownership, country income level. Based on our results, we recommend limit use of tracheostomy, reducing LOS, reducing the MV/DU ratio, and implementing an evidence-based set of VAP prevention recommendations. •Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries.•Male gender, age, public and private hospitals increase the risk of VAP.•Medical-Surgical, neurologic, and medical ICUs showed the highest risk for VAP.•Device utilization and length of stay increase significantly the risk of VAP.•It is recommended limiting use of tracheostomy. Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors. We conducted a prospective cohort study, between March 27, 2004 and November 2, 2022, in 279 ICUs of 95 hospitals in 44 cities in 9 Asian countries (China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam). 153,717 patients, followed during 892,996 patient-days, acquired 3,369 VAPs. We analyzed 10 independent variables. Using multiple logistic regression we identified following independent VAP RFs= Age, rising VAP risk 1% per year (aOR=1.01; 95%CI=1.00-1.01, P<.0001); male gender (OR=1.17; 95%CI=1.08-1.26, P<.0001); length of stay, rising VAP risk 7% daily (aOR=1.07; 95%CI=1.06-1.07, P<.0001); mechanical ventilation (MV) device utilization (DU) ratio (OR=1.43; 95%CI=1.36-1.51; p<.0001); tracheostomy connected to a MV (OR=11.17; 95%CI=9.55-14.27; p<.0001); public (OR=1.84; 95%CI=1.49-2.26, P<.0001), and private (OR=1.57; 95%CI=1.29-1.91, P<.0001) compared with teaching hospitals; upper-middle income country (OR=1.86; 95%CI=1.63-2.14, P<.0001). Regarding ICUs, Medical-Surgical (OR=4.61; 95%CI=3.43-6.17; P<.0001), Neurologic (OR=3.76; 95%CI=2.43-5.82; P<.0001), Medical (OR=2.78; 95%CI=2.04-3.79; P<.0001), and Neuro-Surgical (OR=2.33; 95%CI=1.61-3.92; P<.0001) showed the highest risk. Some identified VAP RFs are unlikely to change= age, gender, ICU type, facility ownership, country income level. Based on our results, we recommend limit use of tracheostomy, reducing LOS, reducing the MV/DU ratio, and implementing an evidence-based set of VAP prevention recommendations. Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors. We conducted a prospective cohort study, between March 27, 2004 and November 2, 2022, in 279 ICUs of 95 hospitals in 44 cities in 9 Asian countries (China, India, Malaysia, Mongolia, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, Vietnam). 153,717 patients, followed during 892,996 patient-days, acquired 3,369 VAPs. We analyzed 10 independent variables. Using multiple logistic regression we identified following independent VAP RFs= Age, rising VAP risk 1% per year (aOR=1.01; 95%CI=1.00-1.01, P<.0001); male gender (OR=1.17; 95%CI=1.08-1.26, P<.0001); length of stay, rising VAP risk 7% daily (aOR=1.07; 95%CI=1.06-1.07, P<.0001); mechanical ventilation (MV) device utilization (DU) ratio (OR=1.43; 95%CI=1.36-1.51; p<.0001); tracheostomy connected to a MV (OR=11.17; 95%CI=9.55-14.27; p<.0001); public (OR=1.84; 95%CI=1.49-2.26, P<.0001), and private (OR=1.57; 95%CI=1.29-1.91, P<.0001) compared with teaching hospitals; upper-middle income country (OR=1.86; 95%CI=1.63-2.14, P<.0001). Regarding ICUs, Medical-Surgical (OR=4.61; 95%CI=3.43-6.17; P<.0001), Neurologic (OR=3.76; 95%CI=2.43-5.82; P<.0001), Medical (OR=2.78; 95%CI=2.04-3.79; P<.0001), and Neuro-Surgical (OR=2.33; 95%CI=1.61-3.92; P<.0001) showed the highest risk. Some identified VAP RFs are unlikely to change= age, gender, ICU type, facility ownership, country income level. Based on our results, we recommend limit use of tracheostomy, reducing LOS, reducing the MV/DU ratio, and implementing an evidence-based set of VAP prevention recommendations. |
| Author | Tang, Swee-Fong Yin, Ruijie Sengupta, Deep Chawla, Rajesh Nag, Bikas Tao, Lili Myatra, Sheila Nainan Rosenthal, Victor Daniel Sarma, Smita Basri, Mat Nor Mohd Bhattacharyya, Mahuya Bhakta, Arpita Wang, Qi Yuee Bali, Roseleen Kaur Rodrigues, Camilla Gan, Chin Seng Mehta, Yatin Kansal, Sudha Begzjav, Tsolmon Kharbanda, Mohit Low, Michelle Siu Yee Arjun, Rajalakshmi Badyal, Binesh Chuah, Soo Lin Sandhu, Kavita Jin, Zhilin Bat-Erdene, Batsuren Todi, Subhash Kumar Tai, Chian-Wern Biswas, Sanjay K Lee, Pei-Chuen Divatia, Jigeeshu Vasishth Shrivastava, Anjana Mahesh Jain, Aakanksha Chawla Kushairi, Marissa Bt Madzlan Davaadagva, Narangarav Arora, Ankush |
| Author_xml | – sequence: 1 givenname: Victor Daniel surname: Rosenthal fullname: Rosenthal, Victor Daniel email: vdr21@med.miami.edu, vic@inicc.org organization: Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, USA – sequence: 2 givenname: Ruijie surname: Yin fullname: Yin, Ruijie organization: Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, USA – sequence: 3 givenname: Camilla surname: Rodrigues fullname: Rodrigues, Camilla organization: Pd Hinduja National Hospital, and Medical Research Centre, Department of Microbiology, Mumbai, India – sequence: 4 givenname: Sheila Nainan surname: Myatra fullname: Myatra, Sheila Nainan organization: Tata Memorial Hospital, Homi Bhabha National Institute, Department of Anesthesiology, Critical Care and Pain, Mumbai, India – sequence: 5 givenname: Jigeeshu Vasishth surname: Divatia fullname: Divatia, Jigeeshu Vasishth organization: Tata Memorial Hospital, Homi 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fullname: Low, Michelle Siu Yee organization: University Malaya Medical Centre, Department of Pediatric Intensive Care, Kuala Lumpur, Malaysia – sequence: 17 givenname: Marissa Bt Madzlan surname: Kushairi fullname: Kushairi, Marissa Bt Madzlan organization: University Malaya Medical Centre, Department of Pediatric Intensive Care, Kuala Lumpur, Malaysia – sequence: 18 givenname: Soo Lin surname: Chuah fullname: Chuah, Soo Lin organization: University Malaya Medical Centre, Department of Pediatric Intensive Care, Kuala Lumpur, Malaysia – sequence: 19 givenname: Qi Yuee surname: Wang fullname: Wang, Qi Yuee organization: University Malaya Medical Centre, Department of Pediatric Intensive Care, Kuala Lumpur, Malaysia – sequence: 20 givenname: Rajesh surname: Chawla fullname: Chawla, Rajesh organization: Indraprastha Apollo Hospitals, Department of Critical Care, New Delhi, India – sequence: 21 givenname: Aakanksha Chawla surname: Jain fullname: Jain, Aakanksha Chawla organization: Indraprastha Apollo Hospitals, Department of Critical Care, New Delhi, India – sequence: 22 givenname: Sudha surname: Kansal fullname: Kansal, Sudha organization: Indraprastha Apollo Hospitals, Department of Critical Care, New Delhi, India – sequence: 23 givenname: Roseleen Kaur surname: Bali fullname: Bali, Roseleen Kaur organization: Indraprastha Apollo Hospitals, Department of Critical Care, New Delhi, India – sequence: 24 givenname: Rajalakshmi surname: Arjun fullname: Arjun, Rajalakshmi organization: Kerala Institute of Med Sciences Health, Department of Critical Care, Trivandrum, India – sequence: 25 givenname: Narangarav surname: Davaadagva fullname: Davaadagva, Narangarav organization: Indraprastha Apollo Hospitals, Department of Critical Care, New Delhi, India – sequence: 26 givenname: Batsuren surname: Bat-Erdene fullname: Bat-Erdene, Batsuren organization: Kerala Institute of Med Sciences Health, Department of Critical Care, Trivandrum, India – sequence: 27 givenname: Tsolmon surname: Begzjav fullname: Begzjav, Tsolmon organization: Kerala Institute of Med Sciences Health, Department of Critical Care, Trivandrum, India – sequence: 28 givenname: Mat Nor Mohd surname: Basri fullname: Basri, Mat Nor Mohd organization: International Islamic University Malaysia, Department of Anesthesia and Critical Care, Kuantan Pahang, Malaysia – sequence: 29 givenname: Chian-Wern surname: Tai fullname: Tai, Chian-Wern organization: International Islamic University Malaysia, Department of Anesthesia and Critical Care, Kuantan Pahang, Malaysia – sequence: 30 givenname: Pei-Chuen surname: Lee fullname: Lee, Pei-Chuen organization: International Islamic University Malaysia, Department of Anesthesia and Critical Care, Kuantan Pahang, Malaysia – sequence: 31 givenname: Swee-Fong surname: Tang fullname: Tang, Swee-Fong organization: Universiti Kebangsaan Malaysia Specialist Children's Hospital, Department of Critical Care, Kuala Lumpur, Malaysia – sequence: 32 givenname: Kavita surname: Sandhu fullname: Sandhu, Kavita organization: Max Super Speciality Hospital Saket Delhi, Department of Critical Care, New Delhi, India – sequence: 33 givenname: Binesh surname: Badyal fullname: Badyal, Binesh organization: Max Super Speciality Hospital Saket Delhi, Department of Critical Care, New Delhi, India – sequence: 34 givenname: Ankush surname: Arora fullname: Arora, Ankush organization: Max Super Speciality Hospital Saket Delhi, Department of Critical Care, New Delhi, India – sequence: 35 givenname: Deep surname: Sengupta fullname: Sengupta, Deep organization: Max Super Speciality Hospital Saket Delhi, Department of Critical Care, New Delhi, India – sequence: 36 givenname: Lili surname: Tao fullname: Tao, Lili organization: Zhongshan Hospital, Fudan University, Department of Pneumonology, Shanghai, China – sequence: 37 givenname: Zhilin surname: Jin fullname: Jin, Zhilin organization: Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36400318$$D View this record in MEDLINE/PubMed |
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| Copyright | 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Association for Professionals in Infection Control and Epidemiology, Inc. Copyright © 2022 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved. |
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| Keywords | International nosocomial infection control consortium Limited resources countries Nosocomial pneumonia Intensive care unit Low and middle income countries |
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| Snippet | •Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries.•Male gender, age, public and private hospitals increase the risk of... Highlights•Prospective cohort study of risk factors for VAP over 18 years in 9 Asian countries. •Male gender, age, public and private hospitals increase the... Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk factors. We... Ventilator associated pneumonia (VAP) rates in Asia are several times above those of US. The objective of this study is to identify VAP risk... |
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| Title | Multinational prospective cohort study over 18 years of the risk factors for ventilator-associated pneumonia in 9 Asian countries: INICC findings |
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