Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,042 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,129 | 0,056 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,010 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».