MétaCan
Menu
← Retour à la cohorte
Enregistrement W1972210762 · doi:10.1093/cid/cis1036

Reply to Mandorfer et al

2012· letter· fr· W1972210762 sur OpenAlexaff
Mark Hull, K. Rollet, Marina B. Klein

Notice bibliographique

RevueClinical Infectious Diseases · 2012
Typeletter
Languefr
DomaineMedicine
ThématiqueBladder and Urothelial Cancer Treatments
Établissements canadiensMcGill University Health CentreUniversity of British ColumbiaAIDS Vancouver
Organismes subventionnairesnon disponible
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

In their letter, Mandorfer et al [1] provide additional data to support the hypothesis that discordance between absolute CD4 count and CD4 percentage is associated with underlying liver disease and associated portal hypertension. This hypothesis was initially advanced by McGovern et al [2] in a cross-sectional analysis of human immunodeficiency virus (HIV)–negative individuals with cirrhosis, in which the majority of individuals had low absolute CD4 cell count values but had CD4 percentages that remained in the normal range. In our analysis of a cohort of 908 HIV/hepatitis C virus (HCV)–coinfected patients [3], 31% of the population was found to have evidence of discordance with higher CD4 percentages than would normally be found to correlate with the documented absolute CD4 cell count. Additionally, in multivariate analysis, factors associated with very high discordance at baseline included history of end-stage liver disease (adjusted odds ratio [AOR], 6.52; 95% confidence interval [CI], 2.27–18.67) and aspartate aminotransferase-to-platelet ratio index score >1.5 (AOR, 4.69; 95% CI, 1.64–13.35). Similarly, in a cross-sectional analysis of 287 HIV-infected individuals with underlying hepatic fibrosis (93.7% HCV coinfected) in the Johns Hopkins ALIVE cohort, 34.4% were found to have discordant CD4 percentage/absolute CD4 cell count [4]. In multivariate analysis, and using transient elastography to further classify degree of fibrosis, the odds of having high CD4 discordance was increased in those with significant liver fibrosis (OR, 1.69; 95% CI, .95–2.96). This relationship was more pronounced when overall lymphopenia was observed [4]. In this analysis of a cohort of 97 coinfected patients in whom hepatic venous pressure gradient (HVPG) had been determined, Mandorfer and colleagues found that 18% of individuals could be classified as having high discordance using the criteria we proposed. A nonsignificant association of high discordance in those with higher HPGV scores was observed; however, portal pressure was modestly correlated with the absolute CD4 cell count/CD4 cell percentage ratio (r = −0.201, P = .049) [1]. One potential mechanism thought to account for the discordance between CD4 percentage and absolute CD4 cell count is the splenic sequestration of lymphocytes due to consequences of end-stage liver disease and resultant portal hypertension [2, 5]. The data presented here do support this hypothesis, linking measured portal pressures to presence of discordance. Other potential mechanisms may also need to be considered, as the data from Claassen et al did not demonstrate greater discordance in those with cirrhosis versus Metavir F2 or higher stages of fibrosis [4] and the correlation observed in with higher HPGV scores was relatively weak. For example, level of HCV viral replication itself and increased hepatic inflammation have been associated with naive CD4 T-cell lymphopenia, possibly due to chronic immune activation [6]. Clinicians should consider evaluating patients with high discordance for underlying cirrhosis, based on cumulative data that support this relationship. However, it is unclear whether the CD4 percentage would serve to better determine risk for opportunistic infections in these patients; retrospective data from the Italian IcONA cohort would suggest the absolute CD4 count remains the more important variable [7]. Prospective evaluation of the prognostic value of CD4 percentage in those with underlying cirrhosis may be necessary. In addition, evaluating the effects of HCV therapy–related regression of fibrosis on the relationship between absolute CD4 cell count and CD4 percentage may also serve to confirm the underlying mechanisms of discordance. Acknowledgments. The Canadian Co-infection cohort investigators (CTN222): Drs Jeff Cohen, Windsor Regional Hospital Metropolitan Campus, Windsor, ON; Brian Conway, Downtown IDC, Vancouver, BC; Pierre Côté, Clinique du Quartier Latin, Montreal, QC; Joseph Mark Tyndall, Native Health Centre, Vancouver, BC; Shariq Haider, McMaster University, Hamilton, ON; Marianne Harris, St Paul's Hospital, Vancouver, BC; David Hasse, Capital District Health Authority, Halifax, NS; Julio Montaner, St Paul's Hospital, Vancouver, BC; Erica Moodie, McGill University, Montreal, QC; Neora Pick, Oak Tree Clinic, Vancouver, BC; Annita Rachlis, Sunnybrook & Women's College Health Sciences Centre, Toronto, ON; Roger Sandre, HAVEN Program, Sudbury, ON; Danielle Rouleau, Centre Hospitalier de l'Université de Montréal, Montréal, QC; David Wong University Health Network, Toronto, ON; and Sharon Walmsley, Toronto General Hospital, Toronto, ON. Potential conflicts of interest. M. B. K. has received institutional grant support from the Canadian Institutes of Health Research (CIHR), Fonds de recherché en santé du Quebec, and the CIHR Canadian HIV Trials Network. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,042
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil0,055

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,042
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,004
Communication savante0,0060,004
Science ouverte0,0030,003
Intégrité de la recherche0,1290,056
Charge utile insuffisante (le modèle a refusé de juger)0,0120,010

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 Opus0,054
Tête enseignante GPT0,399
Écart entre enseignants0,345 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueClinical Infectious Diseases→Même sujetBladder and Urothelial Cancer Treatments→Travaux en français237 207→