MétaCan
Menu
Retour à la cohorte
Enregistrement W4388024269 · doi:10.1016/j.chstcc.2023.100029

Ex Vivo Endotoxin Stimulation of Blood for Predicting Survival in Patients With Sepsis

2023· article· en· W4388024269 sur OpenAlexaboutno aff
Jonathan Wheelwright, E. Scott Halstead, Amy Knehans, Anthony Bonavia

Notice bibliographique

RevueCHEST Critical Care · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueSepsis Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of General Medical SciencesPennsylvania State UniversityUniversity of Pennsylvania
Mots-clésSepsisEx vivoStimulationIn vivoMedicineInternal medicineBiologyBiotechnology

Résumé

récupéré en direct d'OpenAlex

BackgroundSepsis is a syndrome characterized by host immune dysfunction, with the extent of immunoparalysis differing among patients. Lipopolysaccharide (LPS) is used commonly to assess the immune function of critically ill patients with sepsis. However, the reliability of this ex vivo diagnostic test in predicting clinical outcomes remains uncertain.Research QuestionDoes LPS-induced tumor necrosis factor (TNF) production from the blood of patients with sepsis predict mortality? Secondary outcomes included ICU and hospital stay durations, nosocomial infection rate, and organ recovery rate.Study Design and MethodsHuman sepsis studies from various databases through April 2023 were evaluated. Inclusion criteria encompassed LPS-stimulated blood assays, English language, and reported clinical outcomes. Bias risk was evaluated using the Newcastle-Ottawa scale (NOS). Relationships between TNF production and mortality were analyzed at sepsis onset and during established sepsis, alongside secondary outcomes.ResultsOf 11,580 studies, 17 studies (14 adult and three pediatric) were selected for analysis. Although 15 studies were evaluated as moderate to high quality using the NOS, it is important to note that some of these studies also had identifiable biases, such as unclear methods of participant recruitment. Nine studies detailed survival outcomes associated with LPS-induced TNF production at sepsis onset, whereas five studies explored TNF production’s relationship with mortality during established sepsis. Trends suggested that lower LPS-induced TNF production correlated with higher mortality. However, heterogeneity in methodologies, especially the LPS assay protocol, hindered definitive conclusions. Publication bias was highlighted using funnel plot analysis. Concerning secondary outcomes, diminished TNF production might signify worsening organ dysfunction, although the link between cytokine production and nosocomial infection varied among studies.InterpretationFor functional immune profiling in sepsis, streamlined research methodologies are essential. This entails organizing cohorts based on microbial sources of sepsis, establishing standardized definitions of immunoparalysis, using consistent types and dosages of immune stimulants, adhering to uniform blood incubation conditions, and adopting consistent clinical outcomes. Sepsis is a syndrome characterized by host immune dysfunction, with the extent of immunoparalysis differing among patients. Lipopolysaccharide (LPS) is used commonly to assess the immune function of critically ill patients with sepsis. However, the reliability of this ex vivo diagnostic test in predicting clinical outcomes remains uncertain. Does LPS-induced tumor necrosis factor (TNF) production from the blood of patients with sepsis predict mortality? Secondary outcomes included ICU and hospital stay durations, nosocomial infection rate, and organ recovery rate. Human sepsis studies from various databases through April 2023 were evaluated. Inclusion criteria encompassed LPS-stimulated blood assays, English language, and reported clinical outcomes. Bias risk was evaluated using the Newcastle-Ottawa scale (NOS). Relationships between TNF production and mortality were analyzed at sepsis onset and during established sepsis, alongside secondary outcomes. Of 11,580 studies, 17 studies (14 adult and three pediatric) were selected for analysis. Although 15 studies were evaluated as moderate to high quality using the NOS, it is important to note that some of these studies also had identifiable biases, such as unclear methods of participant recruitment. Nine studies detailed survival outcomes associated with LPS-induced TNF production at sepsis onset, whereas five studies explored TNF production’s relationship with mortality during established sepsis. Trends suggested that lower LPS-induced TNF production correlated with higher mortality. However, heterogeneity in methodologies, especially the LPS assay protocol, hindered definitive conclusions. Publication bias was highlighted using funnel plot analysis. Concerning secondary outcomes, diminished TNF production might signify worsening organ dysfunction, although the link between cytokine production and nosocomial infection varied among studies. For functional immune profiling in sepsis, streamlined research methodologies are essential. This entails organizing cohorts based on microbial sources of sepsis, establishing standardized definitions of immunoparalysis, using consistent types and dosages of immune stimulants, adhering to uniform blood incubation conditions, and adopting consistent clinical outcomes. Take-home PointsStudy Question: Does lipopolysaccharide-induced tumor necrosis factor (TNF) production from the blood of patients with sepsis predict mortality?Results: Selected studies indicated that lower lipopolysaccharide-induced TNF production may correlate with higher mortality in sepsis, but methodologic variations and biases limited definitive conclusions.Interpretation: Streamlined research methodologies, including standardized definitions of immunoparalysis and consistent procedures for ex vivo blood stimulation, are vital for functional immune profiling in sepsis. Study Question: Does lipopolysaccharide-induced tumor necrosis factor (TNF) production from the blood of patients with sepsis predict mortality? Results: Selected studies indicated that lower lipopolysaccharide-induced TNF production may correlate with higher mortality in sepsis, but methodologic variations and biases limited definitive conclusions. Interpretation: Streamlined research methodologies, including standardized definitions of immunoparalysis and consistent procedures for ex vivo blood stimulation, are vital for functional immune profiling in sepsis. Sepsis, the leading cause of in-hospital mortality, is responsible for 11 million global deaths annually.1Buchman T.G. Simpson S.Q. Sciarretta K.L. et al.Sepsis among Medicare beneficiaries: 3. The methods, models, and forecasts of sepsis, 2012-2018.Crit Care Med. 2020; 48: 302-318Crossref PubMed Scopus (29) Google Scholar, 2Rudd K.E. Johnson S.C. Agesa K.M. et al.Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study.Lancet. 2020; 395: 200-211Abstract Full Text Full Text PDF PubMed Google Scholar, 3Rhee C. Jones T.M. Hamad Y. et al.Prevalence, underlying causes, and preventability of sepsis-associated mortality in US acute care hospitals.JAMA Netw Open. 2019; 2e187571Crossref Scopus (260) Google Scholar In the United States alone, the management of sepsis incurs a conservative estimate of $62 billion in health care costs, surpassing all other disease states in terms of financial impact.1Buchman T.G. Simpson S.Q. Sciarretta K.L. et al.Sepsis among Medicare beneficiaries: 3. The methods, models, and forecasts of sepsis, 2012-2018.Crit Care Med. 2020; 48: 302-318Crossref PubMed Scopus (29) Google Scholar,2Rudd K.E. Johnson S.C. Agesa K.M. et al.Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study.Lancet. 2020; 395: 200-211Abstract Full Text Full Text PDF PubMed Google Scholar,4Eguia E. Bunn C. Kulshrestha S. et al.Trends, Cost, and Mortality From Sepsis After Trauma in the United States: an evaluation of the National Inpatient Sample of Hospitalizations, 2012-2016.Crit Care Med. 2020; 48: 1296-1303Crossref PubMed Scopus (15) Google Scholar Immune dysfunction (persistent inflammation, immunosuppression, or both) during sepsis contributes to most of the disease’s morbidity and mortality, because patients become increasingly susceptible to pathogens that usually are eliminated rapidly in healthy patients.5Hotchkiss R.S. Monneret G. Payen D. Sepsis-induced immunosuppression: from cellular dysfunctions to immunotherapy.Nat Rev Immunol. 2013; 13: 862-874Crossref PubMed Scopus (1623) Google Scholar,6Skrupky L.P. Kerby P.W. Hotchkiss R.S. Advances in the management of sepsis and the understanding of key immunologic defects.Anesthesiology. 2011; 115: 1349-1362Crossref PubMed Scopus (86) Google Scholar At the time of death, approximately 80% of patients have evidence of an unresolved septic focus,7Torgersen C. Moser P. Luckner G. et al.Macroscopic postmortem findings in 235 surgical intensive care patients with sepsis.Anesth Analg. 2009; 108: 1841-1847Crossref PubMed Scopus (180) Google Scholar and secondary infections complicate the clinical course of approximately 13.5% of patients with sepsis and 39% of patients with septic shock.8van Vught L.A. Klein Klouwenberg P.M. Spitoni C. et al.Incidence, risk factors, and attributable mortality of secondary infections in the intensive care unit after admission for sepsis.JAMA. 2016; 315: 1469-1479Crossref PubMed Google Scholar,9Zhao G.J. Li D. Zhao Q. et al.Incidence, risk factors and impact on outcomes of secondary infection in patients with septic shock: an 8-year retrospective study.Sci Rep. 2016; 638361Crossref Scopus (41) Google Scholar The cause of secondary infection is believed to be a phenomenon called immunoparalysis.10Volk H.D. Reinke P. Docke W.D. Clinical aspects: from systemic inflammation to ‘immunoparalysis.’.Chem Immunol. 2000; 74: PubMed Google K.M. Sepsis immunosuppression: for secondary infections and Care Med. 2013; PubMed Scopus Google Scholar This the to an immune after to and Sepsis-induced immune immune 2016; PubMed Scopus Google S. et al.Sepsis in that impact mortality to secondary Immunol. 2011; PubMed Scopus Google Scholar may from the of tumor necrosis factor of and of and other immune H.D. Reinke P. Docke W.D. Clinical aspects: from systemic inflammation to ‘immunoparalysis.’.Chem Immunol. 2000; 74: PubMed Google K.M. Sepsis immunosuppression: for secondary infections and Care Med. 2013; PubMed Scopus Google R.S. The and of Med. PubMed Scopus Google R.S. et in patients with sepsis, and organ Care Med. PubMed Scopus Google Scholar The heterogeneity of immune in patients with sepsis, with the high disease by sepsis, the to blood that immune function with the of a immune may to the in these to secondary infections and clinical P. for the of from to for a Care Med. 2013; PubMed Scopus Google Scholar, et in septic shock: the clinical 3. Scholar, Immune in are to Care PubMed Scopus Google Scholar, E. Hotchkiss R.S. in for sepsis the PubMed Google Scholar Lipopolysaccharide or is a that was in S. factor that necrosis of PubMed Scopus Google Scholar to the and of such as TNF et is for PubMed Scopus Google necrosis factor and the 2016; PubMed Scopus Google Scholar This the of of research to the underlying sepsis. Although the of D. The between of sepsis and PubMed Scopus Google the for the of sepsis 2020; PubMed Scopus Google Scholar LPS to be used to the of critically ill immune function with the of patients from of septic and patients. and production of and tumor necrosis factor by blood from septic and a with the survival Google Scholar This immune the of blood from patients with sepsis to LPS ex by of the by the blood cytokine production may cellular and an risk of clinical outcomes. However, the of research cohorts used to test this as as the definitions of outcomes, have the of this was to studies the of ex vivo blood to predict clinical outcomes in critically ill patients with sepsis. to assess the between LPS-induced TNF production and mortality nosocomial infection rate, ICU or hospital of and organ dysfunction The was and to for and P.M. et an for PubMed Scopus Google Scholar sepsis studies by or were for et for sepsis and organ and for the of in sepsis. The of of Care Full Text Full Text PDF PubMed Google Scholar, et Sepsis Care Med. PubMed Scopus Google Scholar, et for Sepsis and 2016; 315: PubMed Scopus Google Scholar were a blood or blood by cytokine were after LPS or a clinical or and were in that mortality or is an and commonly reported clinical it was selected as the Secondary outcomes included nosocomial ICU or hospital of and organ dysfunction as by or and of disease et to organ of the on of the of Care Care Med. PubMed Google a of disease Care Med. 13: PubMed Google Scholar were in of and to and including April 2023 were The systemic was on the of and be vivo of blood for predicting clinical outcomes in septic patients. of of Scholar terms included sepsis, septic blood stimulation, and research using these terms and was used to studies by the for This and S. to studies, and assess bias between were by a S. in a was using and was used to from that that were included of of and clinical outcomes. in to ex vivo LPS stimulation, were reported with to the of sepsis to a of after The of and the also were reported clinical outcomes were from the included studies. of bias was by and S. using the Newcastle-Ottawa scale for studies G. D. et Newcastle-Ottawa scale for the quality of studies in Zhao of bias in of health an analysis of 2019; PubMed Scopus Google Scholar This was selected because of the of the studies for The a of through based on and outcomes The by for was used to a for that to a This was used that or in the were with of to were moderate and with of were high and LPS and were as and were mortality and nosocomial infections were reported as outcomes, whereas ICU or hospital of stay and organ dysfunction were plot was to from studies LPS-induced TNF of the of cytokine methods, the standardized was used to the between LPS-induced TNF and clinical outcomes. studies ex vivo at after septic and the the in sepsis to in the of sepsis the of immune function in sepsis sepsis onset characterized as the after sepsis and and established sepsis as after sepsis and analysis was using the for for S. G. G. to a with a 2019; PubMed Scopus Google Scholar used funnel to biases from or For studies to this a might because of bias or of studies were of were by in an to 11,580 studies for and of these studies criteria for of 17 studies were to and The of reliability and S. during the and was and during the it was with by the S. Of 17 included studies, reported survival outcomes of these studies were from analysis because TNF C. P. et in of patients with sepsis that in 2000; PubMed Google Scholar, C. et and nosocomial infection in with organ dysfunction Care Med. 2011; PubMed Scopus Google Scholar, et and of immune dysfunction to predict mortality of sepsis Scopus Google Scholar in TNF of septic and patients. and production of and tumor necrosis factor by blood from septic and a with the survival Google Scholar or survival in the but immune function and organ recovery in with Care Med. 2019; PubMed Scopus Google Scholar The studies a of clinical of these studies reported ICU G. E. et of LPS-induced ex vivo production of factor and in patients with septic 13: PubMed Scopus Google Scholar, of necrosis to in in patients with septic is to PubMed Google Scholar, Vught L.A. et is associated with systemic and in critically ill PubMed Scopus Google Scholar studies reported in-hospital et blood assay for functional immune of septic Immunol. PubMed Scopus (15) Google Scholar, C. et tumor necrosis factor production and is correlated with survival in septic Google Scholar, R.S. Monneret G. Payen D. in a understanding of the and a 2013; 13: Full Text Full Text PDF PubMed Scopus Google Scholar, et immune function and mortality in critically ill with a Care Med. 2013; PubMed Scopus Google Scholar and studies reported et of and tumor necrosis factor production as in a 2016; PubMed Scopus Google et cytokine production by after clinical and with PubMed Scopus Google and Clinical of to Clinical of Clinical by the Clinical et Vught L.A. et is associated with systemic and in critically ill PubMed Scopus Google Scholar ill with sepsis on of admission to of et et et blood assay for functional immune of septic Immunol. PubMed Scopus (15) Google Scholar ill with sepsis critically ill sepsis healthy et immune function and organ recovery in with Care Med. 2019; PubMed Scopus Google Scholar ill with sepsis critically ill sepsis healthy of ICU and recovery et C. et after ex vivo of blood is associated with organ dysfunction in a Care 2019; Full Text Full Text PDF PubMed Scopus Google Scholar ill with sepsis or septic healthy of ICU and recovery et et immune function and of organ dysfunction in critically with Care Med. PubMed Scopus Google Scholar ill with sepsis or septic healthy et et cytokine production by after clinical and with PubMed Scopus Google Scholar with sepsis of had on and and et et and of immune dysfunction to predict mortality of sepsis Scopus Google Scholar ill with sepsis of ICU et et of and tumor necrosis factor production as in a 2016; PubMed Scopus Google Scholar ill with sepsis Vught et Vught L.A. et of blood to predict nosocomial infections in critically ill PubMed Scopus Google Scholar ill with sepsis of the after ICU et et immune function and mortality in critically ill with a Care Med. 2013; PubMed Scopus Google Scholar ill with sepsis healthy with of ICU at time of et and production and to in PubMed Scopus Google Scholar with sepsis and septic healthy and recovery in et C. et and nosocomial infection in with organ dysfunction Care Med. 2011; PubMed Scopus Google Scholar ill of patients had a of sepsis, and healthy and et C. et tumor necrosis factor production and is correlated with survival in septic Google Scholar ill with of patients had sepsis, and healthy after ICU and et of necrosis to in in patients with septic is to PubMed Google Scholar ill with septic and et G. E. et of LPS-induced ex vivo production of factor and in patients with septic 13: PubMed Scopus Google Scholar ill with septic healthy in et C. P. et in of patients with sepsis that in 2000; PubMed Google Scholar ill with sepsis or healthy of ICU and et of septic and patients. and production of and tumor necrosis factor by blood from septic and a with the survival Google Scholar ill with sepsis healthy of ICU and and to and LPS TNF tumor necrosis in a and LPS TNF tumor necrosis in the of blood from patients and the used for immune with the as the of that the blood were a of to after the onset of sepsis or ICU In it the of blood was from the of sepsis, from ICU or from a of sepsis leading to ICU This of is in the rapidly of sepsis. Although of the studies used blood to assess immune five studies used LPS from used LPS from and the of the LPS was and the time was 11 The standardized for of the included studies suggested that diminished TNF production at sepsis onset may be associated with mortality although the in the of these and the of the Of the 17 studies, were to be of moderate quality and were to be of high quality to the Although of these studies clinical outcomes, was in the in and the to the between cohorts most studies or of at the of recruitment. used the to studies for a This for studies because of that be because of clinical or in the because of or The funnel plot suggested three such studies, or a bias of approximately the 17 studies that were included in the analysis studies reported LPS-induced TNF during established sepsis, a of clinical of these five studies of blood with and of blood with studies used LPS from used LPS from and the of LPS was and of was 11 in the of sepsis onset, the suggested that diminished TNF production during established sepsis may be associated with mortality, although heterogeneity of the for plot analysis suggested a bias of to that studies be to plot Of the 17 included studies, studies reported mortality and outcomes, whereas three studies reported outcomes C. et after ex vivo of blood is associated with organ dysfunction in a Care 2019; Full Text Full Text PDF PubMed Scopus Google Scholar, and production and to in PubMed Scopus Google Scholar, Vught L.A. et of blood to predict nosocomial infections in critically ill PubMed Scopus Google Scholar findings are in in and in the secondary clinical outcomes that were of these However, studies by the an between cytokine production and immune function and organ recovery in with Care Med. 2019; PubMed Scopus Google Scholar or C. et after ex vivo of blood is associated with organ dysfunction in a Care 2019; Full Text Full Text PDF PubMed Scopus Google et immune function and of organ dysfunction in critically with Care Med. PubMed Scopus Google Scholar organ dysfunction the of sepsis The reported relationship between cytokine production and the risk of nosocomial infection was between Vught L.A. Klein Klouwenberg P.M. Spitoni C. et al.Incidence, risk factors, and attributable mortality of secondary infections in the intensive care unit after admission for sepsis.JAMA. 2016; 315: 1469-1479Crossref PubMed Google C. et and nosocomial infection in with organ dysfunction Care Med. 2011; PubMed Scopus Google et of and tumor necrosis factor production as in a 2016; PubMed Scopus Google of and Bias of for of Bias et Vught L.A. et is associated with systemic and in critically ill PubMed Scopus Google Scholar TNF production was associated with ICU of stay or ICU mortality in critically ill with et et blood assay for functional immune of septic Immunol. PubMed Scopus (15) Google Scholar of TNF production were associated with mortality in critically ill with et immune function and organ recovery in with Care Med. 2019; PubMed Scopus Google Scholar TNF production was associated with organ recovery at although TNF production at was lower in patients organ function at in critically ill with et C. et after ex vivo of blood is associated with organ dysfunction in a Care 2019; Full Text Full Text PDF PubMed Scopus Google Scholar of to production was associated with organ dysfunction at in critically ill with et et immune function and of organ dysfunction in critically with Care Med. PubMed Scopus Google Scholar TNF production of in critically ill with sepsis was associated with or dysfunction or et et cytokine production by after clinical and with PubMed Scopus Google Scholar of TNF production were associated with mortality in with et et and of immune dysfunction to predict mortality of sepsis Scopus Google Scholar factor after LPS by cytokine LPS was associated with mortality in critically ill with et et of and tumor necrosis factor production as in a 2016; PubMed Scopus Google Scholar TNF production was associated with mortality or nosocomial infections at time in critically ill with Vught et Vught L.A. et of blood to predict nosocomial infections in critically ill PubMed Scopus Google Scholar TNF production was associated with infections in critically ill with et et immune function and mortality in critically ill with a Care Med. 2013; PubMed Scopus Google Scholar of TNF production were associated with mortality in critically ill with sepsis. TNF production a higher risk of at the time of as with patients or with et and production and to in PubMed Scopus Google Scholar production was between with sepsis and organ et C. et and nosocomial infection in with organ dysfunction Care Med. 2011; PubMed Scopus Google Scholar of after microbial findings was associated with nosocomial whereas recovery of was associated with of et C. et tumor necrosis factor production and is correlated with survival in septic Google Scholar of TNF production were associated with mortality in critically ill with et of necrosis to in in patients with septic is to PubMed Google Scholar of secondary to sepsis higher of TNF after to LPS by LPS as with et G. E. et of LPS-induced ex vivo production of factor and in patients with septic 13: PubMed Scopus Google Scholar TNF production was associated with mortality in critically ill with septic et C. P. et in of patients with sepsis that in 2000; PubMed Google Scholar of secondary to sepsis a lower ex vivo of and after LPS et of septic and patients. and production of and tumor necrosis factor by blood from septic and a with the survival Google Scholar TNF production was associated with mortality in critically ill with TNF tumor necrosis in a LPS TNF tumor necrosis The immune in patients with sepsis complicate the of diagnostic and the of a and in Rev 2020; PubMed Scopus Google Scholar This to in functional immune a that immune function to predict outcomes in patients with C. S. Immune functional assays, from to standardized for Immunol. PubMed Scopus Google Scholar used as an immune for is a in this However, methodologies the have This to a between LPS-induced TNF production and mortality, was by these a sepsis definitions also to this of especially understanding of sepsis in in diagnostic For although was based on the et for sepsis and organ and for the of in sepsis. The of of Care Full Text Full Text PDF PubMed Google Scholar to organ dysfunction the et for Sepsis and 2016; 315: PubMed Scopus Google Scholar This a in the of in studies the of sepsis, among critically ill in blood may the diagnostic from definitions of sepsis the of blood especially in the of a research to blood based on the of onset of the of hospital or ICU admission for sepsis. In the types for sepsis onset and established sepsis. in the assay of the studies used LPS from a incubation for blood with LPS at a in LPS dosages and that cytokine production after on and of cytokine for functional immune Immunol. Scopus Google Scholar the ex vivo immune and TNF a in to G. C. et and are in to Immunol. PubMed Scopus Google Scholar and also this production the after LPS E. and PubMed Scopus Google P. or and Immunol. PubMed Scopus Google Scholar TNF become with LPS stimulation, for immune et of to and Immunol. PubMed Scopus Google Scholar D. et cellular and global in the PubMed Scopus Google Scholar and cellular et in through the production of 2000; PubMed Google Scholar it is to the for a of patients with sepsis. The cause of sepsis also may the outcomes. Of the 17 studies, studies microbial and among that the of between and to LPS in sepsis might the immune the to ex vivo LPS phenomenon as as a of in PubMed Scopus Google Scholar might a by LPS et of and in of and Full Text Full Text PDF PubMed Scopus Google Scholar LPS-induced TNF be in of the or at the be clinical outcomes, mortality might immune immune to secondary but hospital or hospital This the of using mortality as a mortality was in clinical studies and especially outcomes nosocomial infection or of may immunologic but with of This also highlighted the varied definitions of immune and LPS-stimulated of studies. of the of dysfunction in sepsis is R.S. The and of Med. PubMed Scopus Google R.S. et in patients with sepsis, and organ Care Med. PubMed Scopus Google Scholar some studies, such as that by et et blood assay for functional immune of septic Immunol. PubMed Scopus (15) Google Scholar used stimulants, production to sepsis mortality. findings that immune might from a of immune that and immune research of the varied immune in sepsis. sepsis commonly to as or of key of the and immune and in et of septic based on Med. 2009; PubMed Scopus Google Scholar, K.L. et and of the sepsis to and Care Med. PubMed Scopus Google Scholar, P. sepsis among with Care Med. PubMed Scopus Google Scholar However, is time and This the and of sepsis. for functional immune profiling may to to For by patients with immune in to and The In the to test for patients with sepsis, that the of and immune a of sepsis to morbidity and et in septic shock: the clinical 3. Scholar functional immune profiling on the of in P. in sepsis and septic shock: a PubMed Scopus Google Scholar these the the for a of immunoparalysis through standardized research This uniform dosages of immune stimulants, consistent incubation conditions, methodologies, and the of standardized clinical outcomes. these the of from clinical and research on LPS-induced TNF production for functional immune profiling of the microbial of sepsis infection as as with to the of uniform outcomes such as that used for nosocomial be the for consistent from outcomes, but with in patients with sepsis. This was by the National of and to S. and the of and

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,320

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,066
Tête enseignante GPT0,349
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCHEST Critical CareMême sujetSepsis Diagnosis and TreatmentTravaux en français237 207