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Sepsis remains a leading cause of death worldwide with no proven immunomodulatory therapies. Stratifying Patient Immune Endotypes in Sepsis ('SPIES') is a prospective, multicenter observational study testing the utility of ELISpot as a functional bioassay specifically measuring cytokine-producing cells after stimulation to identify the immunosuppressed endotype, predict clinical outcomes in septic patients, and test potential immune stimulants for clinical development. Most ELISpot protocols call for the isolation of PBMC prior to their inclusion in the assay. In contrast, we developed a diluted whole blood (DWB) ELISpot protocol that has been validated across multiple laboratories. Heparinized whole blood was collected from healthy donors and septic patients and tested under different stimulation conditions to evaluate the impact of blood dilution, stimulant concentration, blood storage, and length of stimulation on ex vivo IFNγ and TNFα production as measured by ELISpot. We demonstrate a dynamic range of whole blood dilutions that give a robust ex vivo cytokine response to stimuli. Additionally, a wide range of stimulant concentrations can be utilized to induce cytokine production. Further modifications demonstrate anticoagulated whole blood can be stored up to 24â¯h at room temperature without losing significant functionality. Finally, we show ex vivo stimulation can be as brief as 4â¯h allowing for a substantial decrease in processing time. The data demonstrate the feasibility of using ELISpot to measure the functional capacity of cells within DWB under a variety of stimulation conditions to inform clinicians on the extent of immune dysregulation in septic patients.
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In 2019, 80% of the 7.4 million global child deaths occurred in low- and middle-income countries (LMICs). Global and regional estimates of cause of hospital death and admission in LMIC children are needed to guide global and local priority setting and resource allocation but are currently lacking. The study objective was to estimate global and regional prevalence for common causes of pediatric hospital mortality and admission in LMICs. We performed a systematic review and meta-analysis to identify LMIC observational studies published January 1, 2005-February 26, 2021. Eligible studies included: a general pediatric admission population, a cause of admission or death, and total admissions. We excluded studies with data before 2,000 or without a full text. Two authors independently screened and extracted data. We performed methodological assessment using domains adapted from the Quality in Prognosis Studies tool. Data were pooled using random-effects models where possible. We reported prevalence as a proportion of cause of death or admission per 1,000 admissions with 95% confidence intervals (95% CI). Our search identified 29,637 texts. After duplicate removal and screening, we analyzed 253 studies representing 21.8 million pediatric hospitalizations in 59 LMICs. All-cause pediatric hospital mortality was 4.1% [95% CI 3.4%-4.7%]. The most common causes of mortality (deaths/1,000 admissions) were infectious [12 (95% CI 9-14)]; respiratory [9 (95% CI 5-13)]; and gastrointestinal [9 (95% CI 6-11)]. Common causes of admission (cases/1,000 admissions) were respiratory [255 (95% CI 231-280)]; infectious [214 (95% CI 193-234)]; and gastrointestinal [166 (95% CI 143-190)]. We observed regional variation in estimates. Pediatric hospital mortality remains high in LMICs. Global child health efforts must include measures to reduce hospital mortality including basic emergency and critical care services tailored to the local disease burden. Resources are urgently needed to promote equity in child health research, support researchers, and collect high-quality data in LMICs to further guide priority setting and resource allocation.
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ABSTRACT: Background: The inability to evaluate host immunity in a rapid quantitative manner in patients with sepsis has severely hampered development of novel immune therapies. The enzyme-linked immunospot (ELISpot) assay is a functional bioassay that measures the number of cytokine-secreting cells and the relative amount of cytokine produced at the single-cell level. A key advantage of ELISpot is its excellent dynamic range enabling a more precise quantifiable assessment of host immunity. Herein, we tested the hypothesis that the ELISpot assay can detect dynamic changes in both innate and adaptive immunity as they often occur during sepsis. We also tested whether ELISpot could detect the effect of immune drug therapies to modulate innate and adaptive immunity. Methods: Mice were made septic using sublethal cecal ligation and puncture. Blood and spleens were harvested serially, and ex vivo interferon γ and TNF-α production were compared by ELISpot and enzyme-linked immunosorbent assay. The capability of ELISpot to detect changes in innate and adaptive immunity due to in vivo immune therapy with dexamethasone, IL-7, and arginine was also evaluated. Results: ELISpot confirmed a decreased innate and adaptive immunity responsiveness during sepsis progression. More importantly, ELISpot was also able to detect changes in adaptive and innate immunity in response to immune-modulatory reagents, for example, dexamethasone, arginine, and IL-7, in a readily quantifiable manner, as predicted by the reagents known mechanisms of action. ELISpot and enzyme-linked immunosorbent assay results tended to parallel one another although some differences were noted. Conclusion: ELISpot offers a unique capability to assess the functional status of both adaptive and innate immunity over time. The results presented herein demonstrate that ELISpot can also be used to detect and follow the in vivo effects of drugs to ameliorate sepsis-induced immune dysfunction. This capability would be a major advance in guiding new immune therapies in sepsis.
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Imunidade Adaptativa , ELISPOT , Imunidade Inata , Sepse , Sepse/imunologia , Animais , Imunidade Inata/imunologia , Imunidade Adaptativa/imunologia , Camundongos , Masculino , Interferon gama/metabolismo , Interferon gama/imunologia , Camundongos Endogâmicos C57BL , Fator de Necrose Tumoral alfa/metabolismo , Feminino , Dexametasona/uso terapêutico , Dexametasona/farmacologiaRESUMO
Mycobacterium abscessus (Mab) affects patients with immunosuppression or underlying structural lung diseases such as cystic fibrosis (CF). Additionally, Mab poses clinical challenges due to its resistance to multiple antibiotics. Herein, we investigated the synergistic effect of dual ß-lactams [sulopenem and cefuroxime (CXM)] or the combination of sulopenem and CXM with ß-lactamase inhibitors [BLIs-avibactam (AVI) or durlobactam (DUR)]. The sulopenem-CXM combination yielded low minimum inhibitory concentration (MIC) values for 54 clinical Mab isolates and ATCC19977 (MIC50 and MIC90 ≤0.25 µg/mL). Similar synergistic effects were observed in time-kill studies conducted at concentrations achievable in clinical settings. Sulopenem-CXM outperformed monotherapy, yielding ~1.5 Log10 CFU/mL reduction during 10 days. Addition of BLIs enhanced this antibacterial effect, resulting in an additional reduction of CFUs (~3 Log10 for sulopenem-CXM and AVI and ~4 Log10 for sulopenem-DUR). Exploration of the potential mechanisms of the synergy focused on their interactions with L,D-transpeptidases (Ldts; LdtMab1-LdtMab4), penicillin-binding-protein B (PBP B), and D,D-carboxypeptidase (DDC). Acyl complexes, identified via mass spectrometry analysis, demonstrated the binding of sulopenem with LdtMab2-LdtMab4, DDC, and PBP B and CXM with LdtMab2 and PBP B. Molecular docking and mass spectrometry data suggest the formation of a covalent adduct between sulopenem and LdtMab2 after the nucleophilic attack of the cysteine residue at the ß-lactam carbonyl carbon, leading to the cleavage of the ß-lactam ring and the establishment of a thioester bond linking the LdtMab2 with sulopenem. In conclusion, we demonstrated the biochemical basis of the synergy of sulopenem-CXM with or without BLIs. These findings potentially broaden the selection of oral therapeutic agents to combat Mab. IMPORTANCE: Treating infections from Mycobacterium abscessus (Mab), particularly those resistant to common antibiotics like macrolides, is notoriously difficult, akin to a never-ending struggle for healthcare providers. The rate of treatment failure is even higher than that seen with multidrug-resistant tuberculosis. The role of combination ß-lactams in inhibiting L,D-transpeptidation, the major peptidoglycan crosslink reaction in Mab, is an area of intense investigation, and clinicians have utilized this approach in the treatment of macrolide-resistant Mab, with reports showing clinical success. In our study, we found that cefuroxime and sulopenem, when used together, display a significant synergistic effect. If this promising result seen in lab settings, translates well into real-world clinical effectiveness, it could revolutionize current treatment methods. This combination could either replace the need for more complex intravenous medications or serve as a "step down" to an oral medication regimen. Such a shift would be much easier for patients to manage, enhancing their comfort and likelihood of sticking to the treatment plan, which could lead to better outcomes in tackling these tough infections. Our research delved into how these drugs inhibit cell wall synthesis, examined time-kill data and binding studies, and provided a scientific basis for the observed synergy in cell-based assays.
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Antibacterianos , Cefuroxima , Sinergismo Farmacológico , Testes de Sensibilidade Microbiana , Mycobacterium abscessus , Mycobacterium abscessus/efeitos dos fármacos , Antibacterianos/farmacologia , Humanos , Cefuroxima/farmacologia , Infecções por Mycobacterium não Tuberculosas/microbiologia , Infecções por Mycobacterium não Tuberculosas/tratamento farmacológico , Inibidores de beta-Lactamases/farmacologia , Simulação de Acoplamento Molecular , ProibitinasRESUMO
Obesity is increasing in prevalence worldwide and carries a theoretical increased risk of morbidity and mortality in critical illness, including hypercoagulability, thrombosis, and renal dysfunction. Obesity has historically been considered a relative contraindication to candidacy for extracorporeal membrane oxygenation (ECMO); however, recent research has suggested that obesity may be associated with improved outcomes in ECMO. This review was conducted to assess and synthesize the existing literature on ECMO outcomes in the obese population. We searched PubMed, Scopus, and CENTRAL databases for obesity and ECMO outcomes, and articles were screened independently by 2 authors. The selection process yielded 29 articles, with one ambispective and 28 retrospective cohort studies. Analyses of these studies show no evidence of globally increased mortality or complications in obesity. Prospective evaluation is needed to further investigate this relationship, but there is currently no evidence to support using body mass index as exclusionary criteria for ECMO.
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Oxigenação por Membrana Extracorpórea , Humanos , Estudos Retrospectivos , Obesidade/complicações , Obesidade/terapia , Índice de Massa Corporal , Estado TerminalRESUMO
OBJECTIVES: Cell-free hemoglobin (CFH) is a potent mediator of endothelial dysfunction, organ injury, coagulopathy, and immunomodulation in hemolysis. These mechanisms have been demonstrated in patients with sepsis, hemoglobinopathies, and those receiving transfusions. However, less is known about the role of CFH in the pathophysiology of trauma, despite the release of equivalent levels of free hemoglobin. DATA SOURCES: Ovid MEDLINE, Embase, Web of Science Core Collection, and BIOSIS Previews were searched up to January 21, 2023, using key terms related to free hemoglobin and trauma. DATA EXTRACTION: Two independent reviewers selected studies focused on hemolysis in trauma patients, hemoglobin breakdown products, hemoglobin-mediated injury in trauma, transfusion, sepsis, or therapeutics. DATA SYNTHESIS: Data from the selected studies and their references were synthesized into a narrative review. CONCLUSIONS: Free hemoglobin likely plays a role in endothelial dysfunction, organ injury, coagulopathy, and immune dysfunction in polytrauma. This is a compelling area of investigation as multiple existing therapeutics effectively block these pathways.
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OBJECTIVES: To characterize the epidemiology of suicide and self-harm among adolescents admitted to PICUs during the first 2 years of the COVID-19 pandemic in the United States. DESIGN: Descriptive analysis of a large, multicenter, quality-controlled database (Virtual Pediatric Systems [VPS]), and of a national public health dataset (U.S. Centers for Disease Control and Prevention web-based Wide-ranging ONline Data for Epidemiology Research [CDC WONDER]). SETTING: The 69 PICUs participating in the VPS database that contributed data for the entire the study period, January 1, 2016, to December 31, 2021. PATIENTS: Adolescents older than 12 years to younger than 18 years old admitted to a participating PICU during the study period with a diagnosis involving self-harm or a suicide attempt (VPS sample), or adolescent suicide deaths over the same period (CDC WONDER sample). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified 10,239 suicide deaths and 7,692 PICU admissions for self-harm, including 5,414 admissions in the pre-pandemic period (Q1-2016 to Q1-2020) and 2,278 in the pandemic period (Q2-2020 to Q4-2021). Compared with the pre-pandemic period, there was no increase in the median (interquartile range) number of suicide deaths per quarter (429 [399-453] vs. 416 [390-482]) or PICU admissions for self-harm per quarter (315 [289-353] vs. 310 [286-387]) during the pandemic period, respectively. There was an increase in the ratio of self-harm PICU admissions to all-cause PICU admissions per quarter during the pandemic (1.98 [1.43-2.12]) compared with the pre-pandemic period per quarter (1.59 [1.46-1.74]). We also observed a significant decrease in all-cause PICU admissions per quarter early in the pandemic compared with the pre-pandemic period (16,026 [13,721-16,297] vs. 19,607 [18,371-20,581]). CONCLUSIONS: The number of suicide deaths and PICU admissions per quarter for self-harm remained relatively constant during the pandemic, while the number of all-cause PICU admissions per quarter decreased compared with the pre-pandemic period. The resultant higher ratio of self-harm admissions to all-cause PICU admissions may have contributed to the perception that more adolescents required critical care for mental health-related conditions early in the pandemic.
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COVID-19 , Comportamento Autodestrutivo , Suicídio , Adolescente , Criança , Humanos , COVID-19/epidemiologia , Unidades de Terapia Intensiva Pediátrica , Estudos Multicêntricos como Assunto , Pandemias , Comportamento Autodestrutivo/epidemiologia , Estados Unidos/epidemiologia , Bases de Dados Factuais , Suicídio/estatística & dados numéricosRESUMO
BACKGROUNDSepsis remains a major clinical challenge for which successful treatment requires greater precision in identifying patients at increased risk of adverse outcomes requiring different therapeutic approaches. Predicting clinical outcomes and immunological endotyping of septic patients generally relies on using blood protein or mRNA biomarkers, or static cell phenotyping. Here, we sought to determine whether functional immune responsiveness would yield improved precision.METHODSAn ex vivo whole-blood enzyme-linked immunosorbent spot (ELISpot) assay for cellular production of interferon γ (IFN-γ) was evaluated in 107 septic and 68 nonseptic patients from 5 academic health centers using blood samples collected on days 1, 4, and 7 following ICU admission.RESULTSCompared with 46 healthy participants, unstimulated and stimulated whole-blood IFN-γ expression was either increased or unchanged, respectively, in septic and nonseptic ICU patients. However, in septic patients who did not survive 180 days, stimulated whole-blood IFN-γ expression was significantly reduced on ICU days 1, 4, and 7 (all P < 0.05), due to both significant reductions in total number of IFN-γ-producing cells and amount of IFN-γ produced per cell (all P < 0.05). Importantly, IFN-γ total expression on days 1 and 4 after admission could discriminate 180-day mortality better than absolute lymphocyte count (ALC), IL-6, and procalcitonin. Septic patients with low IFN-γ expression were older and had lower ALCs and higher soluble PD-L1 and IL-10 concentrations, consistent with an immunosuppressed endotype.CONCLUSIONSA whole-blood IFN-γ ELISpot assay can both identify septic patients at increased risk of late mortality and identify immunosuppressed septic patients.TRIAL REGISTRYN/A.FUNDINGThis prospective, observational, multicenter clinical study was directly supported by National Institute of General Medical Sciences grant R01 GM-139046, including a supplement (R01 GM-139046-03S1) from 2022 to 2024.
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Interferon gama , Sepse , Humanos , Interferon gama/metabolismo , Imunoadsorventes/uso terapêutico , Estudos Prospectivos , BiomarcadoresRESUMO
BACKGROUND: Sepsis remains a major clinical challenge for which successful treatment requires greater precision in identifying patients at increased risk of adverse outcomes requiring different therapeutic approaches. Predicting clinical outcomes and immunological endotyping of septic patients has generally relied on using blood protein or mRNA biomarkers, or static cell phenotyping. Here, we sought to determine whether functional immune responsiveness would yield improved precision. METHODS: An ex vivo whole blood enzyme-linked immunosorbent (ELISpot) assay for cellular production of interferon-γ (IFN-γ) was evaluated in 107 septic and 68 non-septic patients from five academic health centers using blood samples collected on days 1, 4 and 7 following ICU admission. RESULTS: Compared with 46 healthy subjects, unstimulated and stimulated whole blood IFNγ expression were either increased or unchanged, respectively, in septic and nonseptic ICU patients. However, in septic patients who did not survive 180 days, stimulated whole blood IFNγ expression was significantly reduced on ICU days 1, 4 and 7 (all p<0.05), due to both significant reductions in total number of IFNγ producing cells and amount of IFNγ produced per cell (all p<0.05). Importantly, IFNγ total expression on day 1 and 4 after admission could discriminate 180-day mortality better than absolute lymphocyte count (ALC), IL-6 and procalcitonin. Septic patients with low IFNγ expression were older and had lower ALC and higher sPD-L1 and IL-10 concentrations, consistent with an immune suppressed endotype. CONCLUSIONS: A whole blood IFNγ ELISpot assay can both identify septic patients at increased risk of late mortality, and identify immune-suppressed, sepsis patients.
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OBJECTIVES: Describe the frequency with which transfusion and medications that modulate lung injury are administered to children meeting at-risk for pediatric acute respiratory distress syndrome (ARF-PARDS) criteria and evaluate for associations of transfusion, fluid balance, nutrition, and medications with unfavorable clinical outcomes. DESIGN: Secondary analysis of the Pediatric Acute Respiratory Distress Syndrome Incidence and Epidemiology study, a prospective point prevalence study. All enrolled ARF-PARDS patients were included unless they developed subsequent pediatric acute respiratory distress syndrome (PARDS) within 24 hours of PICU admission or PICU length of stay was less than 24 hours. Univariate and multivariable analyses were used to identify associations between therapies given during the first 2 calendar days after ARF-PARDS diagnosis and subsequent PARDS diagnosis (primary outcome), 28-day PICU-free days (PFDs), and 28-day ventilator-free days (VFDs). SETTING: Thirty-seven international PICUs. PATIENTS: Two hundred sixty-seven children meeting Pediatric Acute Lung Injury Consensus Conference ARF-PARDS criteria. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: During the first 2 days after meeting ARF-PARDS criteria, 55% of subjects received beta-agonists, 42% received corticosteroids, 28% received diuretics, and 9% were transfused. Subsequent PARDS (15%) was associated with platelet transfusion (n = 11; adjusted odds ratio: 4.75 [95% CI 1.03-21.92]) and diuretics (n = 74; 2.55 [1.19-5.46]) in multivariable analyses that adjusted for comorbidities, PARDS risk factor, initial oxygen saturation by pulse oximetry:Fio2 ratio, and initial type of ventilation. Beta-agonists were associated with lower adjusted odds of subsequent PARDS (0.43 [0.19-0.98]). Platelets and diuretics were also associated with fewer PFDs and fewer VFDs in the multivariable models, and TPN was associated with fewer PFDs. Corticosteroids, net fluid balance, and volume of enteral feeding were not associated with the primary or secondary outcomes. CONCLUSIONS: There is an independent association between platelet transfusion, diuretic administration, and unfavorable outcomes in children at risk for PARDS, although this may be related to treatment bias and unmeasured confounders. Nevertheless, prospective evaluation of the role of these management strategies on outcomes in children with ARF-PARDS is needed.
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Respiração Artificial , Síndrome do Desconforto Respiratório , Criança , Humanos , Incidência , Respiração Artificial/efeitos adversos , Fatores de Risco , Síndrome do Desconforto Respiratório/epidemiologia , Síndrome do Desconforto Respiratório/terapia , Síndrome do Desconforto Respiratório/diagnóstico , Diuréticos/uso terapêutico , Unidades de Terapia Intensiva PediátricaAssuntos
Países em Desenvolvimento , Sepse , Humanos , Sepse/diagnóstico , Sepse/terapia , BiomarcadoresRESUMO
Pediatric critical care medicine (PCCM), as it is practiced in high-income countries, is focused on specialized medical care for the most vulnerable pediatric patient populations. However, best practices for provision of that care globally are lacking. Thus, PCCM research and education programming can potentially fill significant knowledge gaps by facilitating the development of evidence-based clinical guidelines that reduce child mortality on a global scale. Malaria remains a leading cause of pediatric mortality worldwide. The Blantyre Malaria Project (BMP) is a research and clinical care collaborative that has focused on reducing the public health burden of pediatric cerebral malaria in Malawi since 1986. In 2017, the requirements of a new research study led to the creation of PCCM services in Blantyre, creating the opportunity to establish a PCCM-Global Health Research Fellowship by BMP in collaboration with the University of Maryland School of Medicine. In this perspective piece, we reflect on the evolution of the PCCM-Global Health research fellowship. Although the specifics of this fellowship are out of the scope of this perspective, we discuss the context allowing for the development of this program and explore some early lessons learned to consider for future capacity-building efforts in the future of PCCM-Global Health research.
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Fortalecimento Institucional , Saúde Global , Humanos , Criança , Currículo , Escolaridade , Cuidados CríticosRESUMO
Multisystem inflammatory syndrome in children (MIS-C) is a rare hyperinflammatory and immunosuppressed condition affecting children exposed to COVID-19. MIS-C has been associated with an over-exaggerated innate and adaptive immune response characterized by a 'selective' cytokine production and T cell suppression. As COVID-19 information has evolved, the knowledge and field surrounding MIS-C is ever evolving. Thus, a comprehensive clinical review that concisely presents current literature findings regarding common clinical presentations and comparisons with similar conditions, associations with the COVID-19 vaccine effects and relevant epigenetic markers and evaluates treatment and long-term outcomes to help guide future studies is needed and provided.
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BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with excessive coagulation, thrombosis, and mortality. OBJECTIVE: To provide insight into mechanisms that contribute to excessive coagulation in coronavirus 2019 (COVID-19) disease. PATIENTS/METHODS: Blood from COVID-19 patients was investigated for coagulation-related gene expression and functional activities. RESULTS: Single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells from severe COVID-19 patients revealed a 5.2-fold increase in tissue factor (TF [F3 gene]) transcript expression levels (P < .05), the trigger of extrinsic coagulation; a 7.7-fold increase in C1-inhibitor (SERPING1 gene; P < .01) transcript expression levels, an inhibitor of intrinsic coagulation; and a 4.4-fold increase in anticoagulant thrombomodulin (TM [THBD gene]) transcript expression levels (P < .001). Bulk RNA-seq analysis of sorted CD14+ monocytes on an independent cohort of COVID-19 patients confirmed these findings (P < .05). Indicative of excessive coagulation, 41% of COVID-19 patients' plasma samples contained high D-dimer levels (P < .0001); of these, 19% demonstrated extracellular vesicle TF activity (P = .109). COVID-19 patients' ex vivo plasma-based thrombin generation correlated positively with D-dimer levels (P < .01). Plasma procoagulant extracellular vesicles were elevated â¼9-fold in COVID-19 patients (P < .01). Public scRNA-seq data sets from bronchoalveolar lung fluid and our peripheral blood mononuclear cell scRNA-seq data show CD14+ monocytes/macrophages TF transcript expression levels are elevated in severe but not mild or moderate COVID-19 patients. CONCLUSIONS: Beyond local lung injury, SARS-CoV-2 infection increases systemic TF (F3) transcript levels and elevates circulating extracellular vesicles that likely contribute to disease-associated coagulation, thrombosis, and related mortality.
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Transtornos da Coagulação Sanguínea , COVID-19 , Vesículas Extracelulares , Trombose , Humanos , Vesículas Extracelulares/metabolismo , Leucócitos Mononucleares/metabolismo , SARS-CoV-2 , Tromboplastina/metabolismoRESUMO
Big data has the capacity to transform both pediatric healthcare delivery and research, but its potential has yet to be fully realized. Curation of large multi-institutional datasets of high-quality data has allowed for significant advances in the timeliness of quality improvement efforts. Improved access to large datasets and computational power have also paved the way for the development of high-performing, data-driven decision support tools and precision medicine approaches. However, implementation of these approaches and tools into pediatric practice has been hindered by challenges in our ability to adequately capture the heterogeneity of the pediatric population as well as the nuanced complexities of pediatric diseases such as sepsis. Moreover, there are large gaps in knowledge and definitive evidence demonstrating the utility, usability, and effectiveness of these types of tools in pediatric practice, which presents significant challenges to provider willingness to leverage these solutions. The next wave of transformation for pediatric healthcare delivery and research through big data and sophisticated analytics will require focusing efforts on strategies to overcome cultural barriers to adoption and acceptance. IMPACT: Big data from EHRs can be used to drive improvement in pediatric clinical care. Clinical decision support, artificial intelligence, machine learning, and precision medicine can transform pediatric care using big data from the EHR. This article provides a review of barriers and enablers for the effective use of data analytics in pediatric clinical care using pediatric sepsis as a use case. The impact of this review is that it will inform influencers of pediatric care about the importance of current trends in data analytics and its use in improving outcomes of care through EHR-based strategies.
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Big Data , Sepse , Humanos , Criança , Registros Eletrônicos de Saúde , Inteligência Artificial , Aprendizado de MáquinaRESUMO
The field of pediatric critical care has been hampered in the era of precision medicine by our inability to accurately define and subclassify disease phenotypes. This has been caused by heterogeneity across age groups that further challenges the ability to perform randomized controlled trials in pediatrics. One approach to overcome these inherent challenges include the use of machine learning algorithms that can assist in generating more meaningful interpretations from clinical data. This review summarizes machine learning and artificial intelligence techniques that are currently in use for clinical data modeling with relevance to pediatric critical care. Focus has been placed on the differences between techniques and the role of each in the clinical arena. The various forms of clinical decision support that utilize machine learning are also described. We review the applications and limitations of machine learning techniques to empower clinicians to make informed decisions at the bedside. IMPACT: Critical care units generate large amounts of under-utilized data that can be processed through artificial intelligence. This review summarizes the machine learning and artificial intelligence techniques currently being used to process clinical data. The review highlights the applications and limitations of these techniques within a clinical context to aid providers in making more informed decisions at the bedside.
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Inteligência Artificial , Aprendizado de Máquina , Humanos , Criança , Algoritmos , Cuidados Críticos , Medicina de PrecisãoRESUMO
The SARS-CoV-2 virus has complex and divergent immune alterations in differing hosts and over disease evolution. Much of the nuanced COVID-19 disease immune dysregulation was originally dominated by innate cytokine changes, which has since been replaced with a more complex picture of innate and adaptive changes characterized by simultaneous hyperinflammatory and immunosuppressive phenomena in effector cells. These intricacies are summarized in this review as well as potential relevance from acute infection to a multisystem inflammatory syndrome commonly seen in children. Additional consideration is made for the influence of variant to variant host cellular changes and the impact of potential vaccination upon these phenotypes. Finally, therapeutic benefit for immune alterations are discussed.