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The organization of semantic associations between senses in language
- Jorge A. Alvarado, Carlos Velasco, Alejandro Salgado
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- Journal:
- Language and Cognition , First View
- Published online by Cambridge University Press:
- 18 April 2024, pp. 1-30
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Distributional semantic representations were used to investigate crossmodal correspondences within language, offering a comprehensive analysis of how sensory experiences interconnect in linguistic constructs. By computing semantic proximity between words from different sensory modalities, a crossmodal semantic network was constructed, providing a general view of crossmodal correspondences in the English language. Community detection techniques were applied to unveil domains of experience where crossmodal correspondences were likely to manifest, while also considering the role of affective dimensions in shaping these domains. The study revealed the existence of an architecture of structured domains of experience in language, whereby crossmodal correspondences are deeply embedded. The present research highlights the roles of emotion and statistical associations in the organization of sensory concepts across modalities in language. The domains identified, including food, the body, the physical world and emotions/values, underscored the intricate interplay between the senses, emotion and semantic patterns. These findings align with the embodied lexicon hypothesis and the semantic coding hypothesis, emphasizing the capacity of language to capture and reflect crossmodal correspondences’ emotional and perceptual subtleties in the form of networks, while also revealing opportunities for further perceptual research on crossmodal correspondences and multisensory integration.
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 study of incidence and risk factors for central-line–associated bloodstream infections in 728 intensive care units of 41 Asian, African, Eastern European, Latin American, and Middle Eastern countries over 24 years
- Victor Daniel Rosenthal, Ruijie Yin, Sheila Nainan Myatra, Ziad A. Memish, Camilla Rodrigues, Mohit Kharbanda, Sandra Liliana Valderrama-Beltran, Yatin Mehta, Majeda Afeef Al-Ruzzieh, 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, Yin Hoong Lai, 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, 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, Tala Kardas, Michael M. Petrov, Asma Bouziri, Nguyen Viet-Hung, Vladislav Belskiy, Naheed Elahi, Estuardo Salgado, Zhilin Jin
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 44 / Issue 11 / November 2023
- Published online by Cambridge University Press:
- 28 April 2023, pp. 1737-1747
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- November 2023
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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.