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OBJECTIVES: To determine the patient-level factors associated with performing daily delirium screening in PICUs with established delirium screening practices. DESIGN: A secondary analysis of 2019-2020 prospective data from the baseline phase of the PICU Up! pilot stepped-wedge multicenter trial (NCT03860168). SETTING: Six PICUs in the United States. PATIENTS: One thousand sixty-four patients who were admitted to a PICU for 3 or more days. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of 1064 patients, 74% (95% CI, 71-76%) underwent delirium screening at least once during their PICU stay. On 57% of the 8965 eligible patient days, screening was conducted. The overall prevalence of delirium was 46% across all screened days, and 64% of screened patients experienced delirium at some point during their PICU stay. Factors associated with greater adjusted odds ratio (aOR) of increased daily delirium screening included PICU stay longer than 15 days compared with 1-3 days (aOR 3.36 [95% CI, 2.62-4.30]), invasive mechanical ventilation as opposed to room air (aOR 1.67 [95% CI, 1.32-2.12]), dexmedetomidine infusions (aOR 1.23 [95% CI, 1.04-1.44]) and propofol infusions (aOR 1.55 [95% CI, 1.08-2.23]). Conversely, decreased aOR of daily delirium screening was associated with female gender (aOR 0.78 [95% CI, 0.63-0.96]), and the administration of continuous infusions of opioids (aOR 0.75 [95% CI, 0.63-0.90]) or ketamine (aOR 0.48 [95% CI, 0.29-0.79]). Neither patient age, the presence of family or physical restraints, or benzodiazepine infusions were associated with daily delirium screening rates. CONCLUSIONS: In the 2019-2020 PICU UP! cohort, across six PICUs, delirium screening occurred on only 57% of days, despite the presence of established practices. Female gender, patients in the early stages of their PICU stay, and patients not receiving mechanical ventilation were associated with lower odds of daily delirium screening. Our results highlight the need for structured quality improvement processes to both standardize and increase the frequency of delirium screening.
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Inadequate perioperative pain control has deleterious effects on children's development and can lead to heightened pain experiences and the avoidance of future medical procedures. Reports of perioperative use of methadone in children are increasing, as it has a favorable pharmacodynamic profile; however, the effectiveness of methadone in reducing postoperative pain has not been established. We, therefore, aimed to provide a scoping review of the literature comparing the effect of intraoperative methadone versus other opioids on postoperative opioid consumption, pain scores, and adverse events in pediatric patients. We identified studies in PubMed, Scopus, Embase, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases from inception to January 2023. Postoperative opioid consumption, pain scores, and adverse events were extracted for analysis. We screened 1864 studies, of which 83 studies were selected for full-text review. Five studies were included in the final analysis. Postoperative opioid consumption was decreased overall in children who received methadone compared to those who did not. The majority of studies indicated that methadone was superior to other opioids in reported pain scores, while the frequency of adverse events was similar between the groups. Although the data reviewed highlight a potential benefit of intraoperative methadone in pediatric patients, 4 of the 5 studies had serious methodological concerns. Thus, we cannot make strong recommendations for the regular use of methadone in the perioperative setting at this time. Our results highlight the need for large, well-designed randomized trials to fully evaluate the safety and efficacy of intraoperative methadone in diverse pediatric surgical populations.
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BACKGROUND: The goal of the study was to evaluate a potential role for tumor necrosis factor alpha (TNF-α) genetic variability as biomarker in sepsis. In particular, we aimed to determine if single nucleotide polymorphisms (SNPs) of TNF-α gene are associated with sepsis in terms of risk, severity and outcome. METHODS: We performed a prospective study on 163 adult critically ill septic patients (septic shock 65, sepsis 98, further divided in 40 survivors and 123 deceased) and 232 healthy controls. Genotyping of TNF-α SNPs (-308G/A, -238G/A, -376G/A and +489G/A) was performed for all patients and controls and plasma cytokine levels were measured during the first 24 h after sepsis onset. RESULTS: TNF-α +489G/A A-allele carriage was associated with significantly lower risk of developing sepsis and sepsis shock (AA+AG vs GG: OR = 0.53; p = 0.004; 95% CI = 0.34-0.82 and OR = 0.39; p = 0.003; 95% CI = 0.21-0.74, respectively) but not with sepsis-related outcomes. There was no significant association between any of the other TNF-α promoter SNPs, or their haplotype frequencies and sepsis or septic shock risk. Circulating TNF-α levels were higher in septic shock; they were not correlated with SNP genotype distribution; GG homozygosity for each polymorphism was correlated with higher TNF-α levels in septic shock. CONCLUSIONS: TNF-α +489G/A SNP A-allele carriage may confer protection against sepsis and septic shock development but apparently does not influence sepsis-related mortality. Promoter TNF-α SNPs did not affect transcription and were not associated with distinct sepsis, septic shock risk or outcomes.
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Progressão da Doença , Polimorfismo de Nucleotídeo Único , Choque Séptico/genética , Choque Séptico/mortalidade , Fator de Necrose Tumoral alfa/genética , Adulto , Idoso , Idoso de 80 Anos ou mais , Alelos , Biomarcadores , Estado Terminal , Suscetibilidade a Doenças , Feminino , Haplótipos/genética , Homozigoto , Mortalidade Hospitalar , Humanos , Masculino , Pessoa de Meia-Idade , Prognóstico , Regiões Promotoras Genéticas , Estudos ProspectivosAssuntos
Desempenho Acadêmico/normas , Educação Médica/normas , Internato e Residência , Licenciamento em Medicina/normas , Seleção de Pessoal/normas , Estudantes de Medicina/psicologia , Desempenho Acadêmico/tendências , Currículo , Conselho Diretor , Humanos , Licenciamento em Medicina/tendências , Seleção de Pessoal/métodos , Estados UnidosRESUMO
Introduction: Illness severity scoring tools, such as PRISM III/IV, PIM-3, and PELOD-2, are widely used in pediatric critical care research. However, their application is hindered by complex calculation processes, privacy concerns with third-party online calculators, and challenges in accurate implementation within statistical packages. Methods: We have developed a comprehensive, open-source toolkit for implementing the PIM-3, Simplified PIM-3, and PELOD-2 scores. The toolkit includes the pim3 and pelod2 commands and is compatible with Stata versions 12 and above. It features robust data validation, error messaging, a graphical interface, and support for SI and Imperial units. The toolkit's accuracy was validated through unit testing and synthetic data, comparing results with existing implementations. Results: In performance tests, the toolkit exhibited a median processing time of 21.82 seconds for PELOD-2, 14.06 seconds for PIM-3, and 9.74 seconds for Simplified PIM-3, when applied to datasets of 10,000,000 records. It consistently achieved 100% accuracy in both synthetic data tests and manual spot checks. Conclusion: The toolkit decreases processing time and improves accuracy in calculating pediatric critical care severity scores such as PELOD-2, PIM-3, and Simplified PIM-3. Its application in large datasets and validation highlights its utility as a tool for streamlining pediatric critical care research.
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Natural Language Processing (NLP) is a subset of artificial intelligence that enables machines to understand and respond to human language through Large Language Models (LLMs)⥠These models have diverse applications in fields such as medical research, scientific writing, and publishing, but concerns such as hallucination, ethical issues, bias, and cybersecurity need to be addressed. To understand the scientific community's understanding and perspective on the role of Artificial Intelligence (AI) in research and authorship, a survey was designed for corresponding authors in top medical journals. An online survey was conducted from July 13th, 2023, to September 1st, 2023, using the SurveyMonkey web instrument, and the population of interest were corresponding authors who published in 2022 in the 15 highest-impact medical journals, as ranked by the Journal Citation Report. The survey link has been sent to all the identified corresponding authors by mail. A total of 266 authors answered, and 236 entered the final analysis. Most of the researchers (40.6%) reported having moderate familiarity with artificial intelligence, while a minority (4.4%) had no associated knowledge. Furthermore, the vast majority (79.0%) believe that artificial intelligence will play a major role in the future of research. Of note, no correlation between academic metrics and artificial intelligence knowledge or confidence was found. The results indicate that although researchers have varying degrees of familiarity with artificial intelligence, its use in scientific research is still in its early phases. Despite lacking formal AI training, many scholars publishing in high-impact journals have started integrating such technologies into their projects, including rephrasing, translation, and proofreading tasks. Efforts should focus on providing training for their effective use, establishing guidelines by journal editors, and creating software applications that bundle multiple integrated tools into a single platform.
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Inteligência Artificial , Autoria , Pesquisa Biomédica , Publicações Periódicas como Assunto , Humanos , Inquéritos e Questionários , Publicações Periódicas como Assunto/estatística & dados numéricos , Processamento de Linguagem NaturalRESUMO
BACKGROUND: Over 50% of all critically ill children develop preventable intensive care unit-acquired morbidity. Early and progressive mobility is associated with improved outcomes in critically ill adults including shortened duration of mechanical ventilation and improved muscle strength. However, the clinical effectiveness of early and progressive mobility in the pediatric intensive care unit has never been rigorously studied. The objective of the study is to evaluate if the PICU Up! intervention, delivered in real-world conditions, decreases mechanical ventilation duration (primary outcome) and improves delirium and functional status compared to usual care in critically ill children. Additionally, the study aims to identify factors associated with reliable PICU Up! delivery. METHODS: The PICU Up! trial is a stepped-wedge, cluster-randomized trial of a pragmatic, interprofessional, and multifaceted early mobility intervention (PICU Up!) conducted in 10 pediatric intensive care units (PICUs). The trial's primary outcome is days alive free of mechanical ventilation (through day 21). Secondary outcomes include days alive and delirium- and coma-free (ADCF), days alive and coma-free (ACF), days alive, as well as functional status at the earlier of PICU discharge or day 21. Over a 2-year period, data will be collected on 1,440 PICU patients. The study includes an embedded process evaluation to identify factors associated with reliable PICU Up! delivery. DISCUSSION: This study will examine whether a multifaceted strategy to optimize early mobility affects the duration of mechanical ventilation, delirium incidence, and functional outcomes in critically ill children. This study will provide new and important evidence on ways to optimize short and long-term outcomes for pediatric patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04989790. Registered on August 4, 2021.
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Estado Terminal , Delírio , Adulto , Criança , Humanos , Unidades de Terapia Intensiva Pediátrica , Respiração Artificial/efeitos adversos , Resultado do Tratamento , Delírio/diagnóstico , Delírio/prevenção & controle , Delírio/etiologia , Ensaios Clínicos Controlados Aleatórios como Assunto , Estudos Multicêntricos como AssuntoRESUMO
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic control will require widespread access to accurate diagnostics. Salivary sampling circumvents swab supply chain bottlenecks, is amenable to self-collection, and is less likely to create an aerosol during collection compared with the nasopharyngeal swab. METHODS: We compared real-time reverse-transcription polymerase chain reaction Abbott m2000 results from matched salivary oral fluid (gingival crevicular fluid collected in an Oracol device) and nasal-oropharyngeal (OP) self-collected specimens in viral transport media from a nonhospitalized, ambulatory cohort of coronavirus disease 2019 (COVID-19) patients at multiple time points. These 2 sentences should be at the beginning of the results. RESULTS: There were 171 matched specimen pairs. Compared with nasal-OP swabs, 41.6% of the oral fluid samples were positive. Adding spit to the oral fluid percent collection device increased the percent positive agreement from 37.2% (16 of 43) to 44.6% (29 of 65). The positive percent agreement was highest in the first 5 days after symptoms and decreased thereafter. All of the infectious nasal-OP samples (culture positive on VeroE6 TMPRSS2 cells) had a matched SARS-CoV-2 positive oral fluid sample. CONCLUSIONS: In this study of nonhospitalized SARS-CoV-2-infected persons, we demonstrate lower diagnostic sensitivity of self-collected oral fluid compared with nasal-OP specimens, a difference that was especially prominent more than 5 days from symptom onset. These data do not justify the routine use of oral fluid collection for diagnosis of SARS-CoV-2 despite the greater ease of collection. It also underscores the importance of considering the method of saliva specimen collection and the time from symptom onset especially in outpatient populations.
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BACKGROUND: Sustained molecular detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in the upper respiratory tract (URT) in mild to moderate coronavirus disease 2019 (COVID-19) is common. We sought to identify host and immune determinants of prolonged SARS-CoV-2 RNA detection. METHODS: Ninety-five symptomatic outpatients self-collected midturbinate nasal, oropharyngeal (OP), and gingival crevicular fluid (oral fluid) samples at home and in a research clinic a median of 6 times over 1-3 months. Samples were tested for viral RNA, virus culture, and SARS-CoV-2 and other human coronavirus antibodies, and associations were estimated using Cox proportional hazards models. RESULTS: Viral RNA clearance, as measured by SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR), in 507 URT samples occurred a median (interquartile range) 33.5 (17-63.5) days post-symptom onset. Sixteen nasal-OP samples collected 2-11 days post-symptom onset were virus culture positive out of 183 RT-PCR-positive samples tested. All participants but 1 with positive virus culture were negative for concomitant oral fluid anti-SARS-CoV-2 antibodies. The mean time to first antibody detection in oral fluid was 8-13 days post-symptom onset. A longer time to first detection of oral fluid anti-SARS-CoV-2 S antibodies (adjusted hazard ratio [aHR], 0.96; 95% CI, 0.92-0.99; P = .020) and body mass index (BMI) ≥25 kg/m2 (aHR, 0.37; 95% CI, 0.18-0.78; P = .009) were independently associated with a longer time to SARS-CoV-2 viral RNA clearance. Fever as 1 of first 3 COVID-19 symptoms correlated with shorter time to viral RNA clearance (aHR, 2.06; 95% CI, 1.02-4.18; P = .044). CONCLUSIONS: We demonstrate that delayed rise of oral fluid SARS-CoV-2-specific antibodies, elevated BMI, and absence of early fever are independently associated with delayed URT viral RNA clearance.
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BACKGROUND: Sustained molecular detection of SARS-CoV-2 RNA in the upper respiratory tract (URT) in mild to moderate COVID-19 is common. We sought to identify host and immune determinants of prolonged SARS-CoV-2 RNA detection. METHODS: Ninety-five outpatients self-collected mid-turbinate nasal, oropharyngeal (OP), and gingival crevicular fluid (oral fluid) samples at home and in a research clinic a median of 6 times over 1-3 months. Samples were tested for viral RNA, virus culture, and SARS-CoV-2 and other human coronavirus antibodies, and associations were estimated using Cox proportional hazards models. RESULTS: Viral RNA clearance, as measured by SARS-CoV-2 RT-PCR, in 507 URT samples occurred a median (IQR) 33.5 (17-63.5) days post-symptom onset. Sixteen nasal-OP samples collected 2-11 days post-symptom onset were virus culture positive out of 183 RT-PCR positive samples tested. All participants but one with positive virus culture were negative for concomitant oral fluid anti-SARS-CoV-2 antibodies. The mean time to first antibody detection in oral fluid was 8-13 days post-symptom onset. A longer time to first detection of oral fluid anti-SARS-CoV-2 S antibodies (aHR 0.96, 95% CI 0.92-0.99, p=0.020) and BMI ≥ 25kg/m 2 (aHR 0.37, 95% CI 0.18-0.78, p=0.009) were independently associated with a longer time to SARS-CoV-2 viral RNA clearance. Fever as one of first three COVID-19 symptoms correlated with shorter time to viral RNA clearance (aHR 2.06, 95% CI 1.02-4.18, p=0.044). CONCLUSIONS: We demonstrate that delayed rise of oral fluid SARS-CoV-2-specific antibodies, elevated BMI, and absence of early fever are independently associated with delayed URT viral RNA clearance.
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In a large cohort of ambulatory confirmed COVID-19 patients with multiple self-collected sample time points, we compared 202 matched nasal-oropharyngeal swabs and oral salivary fluid sample pairs by RT-PCR. Nasal-oropharyngeal swabs were more sensitive than this salivary sample type (oral crevicular fluid) suggesting that not all saliva sample types have equivalent sensitivity. However, all samples that were Vero E6-TMPRSS2 cell culture positive (e.g., infectious virus) were also oral fluid RT-PCR positive suggesting that oral fluid may find the patients most likely to transmit disease to others.
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AIM: Evaluating the role of interleukin-6 (IL-6) as an early predictor of sepsis in a murine model. MATERIALS AND METHODS: The study divided 26 Wistar rats into two experimental groups in which sepsis was induced through the intraperitoneal injection of different Escherichia coli cultures [Group 1: Extended-spectrum beta-lactamase (ESBL)-producing culture and Group 2: Standardized ATCC35218 culture] and a control group. IL-6 levels were determined at 5 and 24 hours post-inoculation and immunohistochemistry (IHC) was performed on tissue samples from the sacrificed animals. RESULTS: Mean plasma IL-6 levels in Group 1 peaked at 5 hours [37.4 pg∕mL; standard deviation (SD) = 2.4 pg∕mL] and decreased at 24 hours (34 pg∕mL; SD=3.2 pg∕mL) after inoculation. IL-6 levels in Group 1 were elevated compared to Group 2, at 5 hours (33.7 pg∕mL; SD=3.3 pg∕mL; p=0.019) and non-significantly so at 24 hours (32.5 pg∕mL; SD=2.4 pg∕mL; p=0.233). The results did not show an increase over control levels at either 5 hours (37.6 pg∕mL; SD=3.4 pg∕mL) or 24 hours (40.8 pg∕mL; SD=2.9 pg∕mL) after inoculation. The IHC shows a varying degree of IL-6 expression across all organ types studied. No statistically significant correlations were found between the tissue level quantification of IL-6 and serum values at 24 hours in either group. CONCLUSIONS: For an early stage of infection/inflammation, serum levels of IL-6 are not correlated with tissue-level inflammation disproving a potential role of IL-6 as a very precocious diagnostic and predictor test. Accumulation of IL-6 in lung, kidney and spleen tissue can be observed from the beginning of inflammation.