| Literature DB >> 34155547 |
Rehab El-Sokkary1, Serhat Uysal2, Hakan Erdem3, Ravina Kullar4, Abdullah Umut Pekok5, Fatma Amer1, Svjetlana Grgić6, Biljana Carevic7, Amani El-Kholy8, Anna Liskova9, Mehmet Özdemir10, Ejaz Ahmed Khan11, Yesim Uygun-Kizmaz12, Nenad Pandak13, Nirav Pandya14, Jurica Arapović6,15, Rıdvan Karaali16, Nefise Oztoprak17, Michael M Petrov18, Rami Alabadla19, Handan Alay20, Jehan Ali El Kholy21, Caroline Landelle22, Reham Khedr23, Dhruv Mamtora24, Gorana Dragovac25, Ricardo Fernandez26, Emine Unal Evren27, Lul Raka28, Antonio Cascio29, Nicolas Dauby30, Ahsen Oncul31, Safak Ozer Balin32, Yasemin Cag33, Natalia Dirani34, Mustafa Dogan35, Irina Magdalena Dumitru36, Maha Ali Gad37, Ilad Alavi Darazam38, Behrouz Naghili39, Rosa Fontana Del Vecchio40, Monica Licker41, Andrea Marino42, Nasim Akhtar43, Mostafa Kamal44, Goffredo Angioni45, Deana Medić46, Aliye Esmaoğlu47, Szabo Balint Gergely48, André Silva-Pinto49, Lurdes Santos49, Ionela Larisa Miftode50, Recep Tekin51, Phunsup Wongsurakiat52, Mumtaz Ali Khan53, Yesim Kurekci54, Hema Prakash Pilli55, Krsto Grozdanovski56, Egidia Miftode50, Rusmir Baljic57, Haluk Vahabolgu33, Jordi Rello58.
Abstract
Evaluating trends in antibiotic resistance is a requisite. The study aimed to analyze the profile of multidrug-resistant organisms (MDROs) among hospitalized patients with bacteremia in intensive care units (ICUs) in a large geographical area. This is a 1-month cross-sectional survey for blood-borne pathogens in 57 ICUs from 24 countries with different income levels: lower-middle-income (LMI), upper-middle-income (UMI), and high-income (HI) countries. Multidrug-resistant (MDR), extensively drug-resistant (XDR), or pan-drug-resistant isolates were searched. Logistic regression analysis determined resistance predictors among MDROs. Community-acquired infections were comparable to hospital-acquired infections particularly in LMI (94/202; 46.5% vs 108/202; 53.5%). Although MDR (65.1%; 502/771) and XDR (4.9%; 38/771) were common, no pan-drug-resistant isolate was recovered. In total, 32.1% of MDR were Klebsiella pneumoniae, and 55.3% of XDR were Acinetobacter baumannii. The highest MDR and XDR rates were in UMI and LMI, respectively, with no XDR revealed from HI. Predictors of MDR acquisition were male gender (OR, 12.11; 95% CI, 3.025-15.585) and the hospital-acquired origin of bacteremia (OR, 2.643; 95%CI, 1.462-3.894), and XDR acquisition was due to bacteremia in UMI (OR, 3.344; 95%CI, 1.189-5.626) and admission to medical-surgical ICUs (OR, 1.481; 95% CI, 1.076-2.037). We confirm the urgent need to expand stewardship activities to community settings especially in LMI, with more paid attention to the drugs with a higher potential for resistance. Empowering microbiology laboratories and reports to direct prescribing decisions should be prioritized. Supporting stewardship in ICUs, the mixed medical-surgical ones in particular, is warranted.Entities:
Keywords: Infection control; Low- and upper-middle and high income; Multidrug resistance; Pan-drug resistance; Stewardship; XDR
Mesh:
Substances:
Year: 2021 PMID: 34155547 DOI: 10.1007/s10096-021-04288-1
Source DB: PubMed Journal: Eur J Clin Microbiol Infect Dis ISSN: 0934-9723 Impact factor: 3.267