Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality by Chris P Gale, Jonathan Weir-McCall, James H F Rudd, Mamas Mamas, Ramesh Nadarajah, Ben Gibbison, Louise Sun, Christian Philip Stickels, Houyuan Jiang, Kieran J Sharkey, Nick Holliman, Sara Lombardo, Lars Schewe, Matteo Sommacal, Katherine Cheema, Feryal Erhun

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Early urea-to-creatinine ratio to predict rapid muscle loss in critically ill patients with sepsis: a single-center retrospective observational study by Jie Jiang, Hui Chen, Shan-shan Meng, Chun Pan, Jian-Feng Xie, Feng-Mei Guo

“…Abstract Background Patients with sepsis in the intensive care unit (ICU) often experience rapid muscle loss. …”
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Men's more frequent predisposing factors in infectious endocarditis facilitate improvement of outcomes by shortening of diagnostic delay by S. Andreß, K. Reischmann, S. Markovic, F. Rohlmann, B. Hay, W. Rottbauer, D. Buckert, S. d'Almeida

“…The incidence of the complications of heart failure with reduced ejection fraction (p = 0.007) and new-onset dialysis (p = 0.012) were higher, the time in the intensive care unit (p = 0.012) longer. Male sex was the only independent risk factor for in-hospital mortality [p = 0.036, HR 4.127 (95%-CI 1.096-15.538)]. …”
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Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol by Jaap Oosterlaan, Marsh Königs, Job B M van Woensel, Marc Engelen, Marjan E Steenweg, Petra J W Pouwels, Cece C Kooper, Hilgo Bruining, Arne Popma, Dennis R Buis, Maayke Hunfeld

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Global burden of burns among children and adolescents: a trend analysis from the global burden of disease study 2019 by Hao Zhu, Hao Zhu, Ke Wang, Xiong Liu, Jianfeng Ji, Peng Yang, Feng Xu

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Point-of-care tests, diagnostic uncertainty and antimicrobial stewardship in the ICU: procalcitonin or PCR to aid antibiotic-stop decisions – an observational cohort study by Luke Moore, Suveer Singh, Martine Nurek, Nabeela Mughal, Timothy Lau, Archit Singhal

“…Objectives Intensive care unit (ICU) clinicians stop antibiotics more often, with a negative infection: point-of-care test (PCR-POCT). …”
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Assessment of risk factors for osteopenia development in premature babies by A. Yu. Tsymbal, Yu. V. Kotlova

“…The aim of the article was to determine risk factors influencing the formation of neonatal osteopenia of PB and during the term of intensive care / postintensive nursing. Materials and methods. …”
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Renal impairment and in-hospital adverse renal events in critically ill patients assessed by age-adapted estimated glomerular filtration rate criteria by Chong Zhang, Weiru Liang, Meng Ning, Bin Su, Tingting Guo, Kun Hu, Wei Su, Yi Chen, Wenjin Peng, Yingwu Liu

“…Furthermore, the impact of eGFR trajectory changes on in-hospital MARE in this patient population remains underexplored.Methods In this study, we analyzed data from 7,423 critically ill patients using version 2.2 of the Medical Information Mart for Intensive Care IV database. Based on the age-adapted eGFR criteria, renal function status was classified as impaired renal function (IRF), subclinical impairment of renal function (SIRF), and normal renal function (NRF).Results There were 2,438 patients (32.8%) of in-hospital MARE. …”
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Mitral Valve Repair in Pediatric Patients with Dilated Cardiomyopathy and Mitral Insufficiency: Single-Center Experience and Results by Mustafa Yılmaz, Başak Soran Türkcan, Ata Niyazi Ecevit, İbrahim Ece, Hazım Alper Gürsu, Atakan Atalay

“…Similarly, data regarding the postoperative intensive care unit processes and mortality data of the patients were recorded. …”
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Changes in the number and characteristics of tertiary hospital psychiatric admissions in south Croatia before and during the COVID-19 pandemic: a retrospective study by Tea Vukićević, Tonka Borovina Marasović, Andrea Botica, Tonći Mastelić, Toni Utrobičić, Trpimir Glavina, Livia Puljak, Svjetlana Došenović

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Characterization of Pseudomonas aeruginosa Isolates Obtained from Patients in Canadian Hospitals: Results of the CANWARD 2007 Study by Andrew Walkty, Melanie DeCorby, Kim Nichol, Melissa McCracken, Michael R Mulvey, James A Karlowsky, Daryl J Hoban, George G Zhanel

“…METHODS: From January to December 2007 inclusive, 12 sentinel hospitals across Canada submitted clinical isolates from patients attending emergency rooms, medical wards, surgical wards and intensive care units (ICUs) (the Canadian Ward Surveillance Study [CANWARD 2007]). …”
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Predictive value of cough peak flow for successful extubation in mechanically ventilated patients after craniotomy: a single-centre prospective diagnostic study by Guang Zhi Shi, Linlin Zhang, Jian-Xin Zhou, Ming Xu, Yan-Lin Yang, Jianfang Zhou, Hong-Liang Li, Xu-Ying Luo, Guang-Qiang Chen

“…Objectives The purpose of this study was to evaluate the predictive value of the cough peak flow (CPF) for successful extubation in postcraniotomy critically ill patients.Design This was a single-centre prospective diagnostic study.Setting The study was conducted in three intensive care units (ICUs) of a teaching hospital.Participants Postcraniotomy patients who were 18 years or older, stayed in ICU for more than 24 hours and underwent mechanical ventilation for more than 24 hours were eligible for the study. …”
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Clinical outcomes of COVID-19 in patients with liver cirrhosis - a propensity-matched analysis from a multicentric Brazilian cohort by Luanna Silva Monteiro Menezes, Pedro Ferrari Sales da Cunha, Magda Carvalho Pires, Lucas Rocha Valle, Flávia Carvalho Cardoso Costa, Maria Angélica Pires Ferreira, Milton Henriques Guimarães Júnior, Saionara Cristina Francisco, Marcelo Carneiro, Daniel Vitório Silveira, Fernando Graça Aranha, Rafael Lima Rodrigues de Carvalho, Teresa Cristina de Abreu Ferrari, Milena Soriano Marcolino

“…They also had higher frequencies of admission in an intensive care unit (51.3% vs. 38.0%, p = 0.007), invasive mechanical ventilation (43.9% vs. 26.6%, p < 0.001), dialysis (17.9% vs. 11.1%, p = 0.038), septic shock (23.9% vs. 14.9%; p = 0.015) and institution of palliative care (19.7% vs. 7.4%; p < 0.001). …”
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A LASSO-derived clinical score to predict severe acute kidney injury in the cardiac surgery recovery unit: a large retrospective cohort study using the MIMIC database by Qi Guo, Jingjing Huang, Yuewei Li, Hongwei Li, Jingfeng Wang, Yong Xie, Tucheng Huang, Wanbing He, Wenyu Lv, Jieping Huang, Yangxin Chen

“…Objectives We aimed to develop an effective tool for predicting severe acute kidney injury (AKI) in patients admitted to the cardiac surgery recovery unit (CSRU).Design A retrospective cohort study.Setting Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-III database, consisting of critically ill participants between 2001 and 2012 in the USA.Participants A total of 6271 patients admitted to the CSRU were enrolled from the MIMIC-III database.Primary and secondary outcome Stages 2–3 AKI.Result As identified by least absolute shrinkage and selection operator (LASSO) and logistic regression, risk factors for AKI included age, sex, weight, respiratory rate, systolic blood pressure, diastolic blood pressure, central venous pressure, urine output, partial pressure of oxygen, sedative use, furosemide use, atrial fibrillation, congestive heart failure and left heart catheterisation, all of which were used to establish a clinical score. …”
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Subclinical Inflammatory Status in Rett Syndrome by Alessio Cortelazzo, Claudio De Felice, Roberto Guerranti, Cinzia Signorini, Silvia Leoncini, Alessandra Pecorelli, Gloria Zollo, Claudia Landi, Giuseppe Valacchi, Lucia Ciccoli, Luca Bini, Joussef Hayek

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The rapid detection of a neonatal unit outbreak of a wild-type Klebsiella variicola using decentralized Oxford Nanopore sequencing by Rhys T. White, Michelle Balm, Megan Burton, Samantha Hutton, Jamaal Jeram, Matthew Kelly, Donia Macartney-Coxson, Tanya Sinha, Henrietta Sushames, David J. Winter, Maxim G. Bloomfield

“…Abstract Background Klebsiella variicola has been implicated in neonatal intensive care unit (NICU) outbreaks previously and can be misidentified as Klebsiella pneumoniae. …”
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Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery p... by Harlan M Krumholz, Erica Spatz, Sanket S Dhruva, Yawei Zhang, Makoto Mori, Cornell Brooks, Bobak J Mortazavi, George C Linderman, Lawrence A Grab, Arnar Geirsson, Sarwat I Chaudhry

“…We are enrolling patients postoperatively after the intensive care unit discharge and delivering electronic surveys directly to patients every 3 days for 30 days after hospital discharge. …”
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Prediction Efficiency of Postoperative Acute Kidney Injury in Acute Stanford Type A Aortic Dissection Patients with Renal Resistive Index and Semiquantitative Color Doppler by Huai Qin, Yaqiong Li, Nan Zhang, Tiezhu Wang, Zhanming Fan

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Financial Cost of Treating Polytrauma in a Public Tertiary Hospital in the South-Eastern Democratic Republic of Congo: A Case Series Study by Kabeya Diyoka C, Ngongo Mwanvua L, Shauri Kalemera M, Pambi Mukanga P, Koba Mjumbe C

“…It was observed that only polytrauma patients admitted to intensive care and hospitalised for 43 days or more exhibited a higher mean direct cost, with statistically significant differences (at a risk of 5%).Conclusion: Patients with polytrauma are at significant risk of incurring catastrophic health expenditures. …”
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The association of body roundness index and body mass index with frailty and all-cause mortality: a study from the population aged 40 and above in the United States by Jianqiang Zhang, Huifeng Zhang

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