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Enregistrement W4293660644 · doi:10.1016/j.jdin.2022.08.017

Association of hidradenitis suppurativa and liver disease: A systematic review and meta-analysis

2022· review· en· W4293660644 sur OpenAlex
Adrian Bailey, Heidi Oi‐Yee Li, Neelabh Rastogi, Marcus G. Tan, Mark G. Kirchhof

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Notice bibliographique

RevueJAAD International · 2022
Typereview
Langueen
DomaineMedicine
ThématiqueHidradenitis Suppurativa and Treatments
Établissements canadiensOttawa HospitalMcGill UniversityUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésHidradenitis suppurativaMedicineMEDLINEDiseaseFatty liverSystematic reviewMeta-analysisInternal medicineScopusDermatologyOdds ratioMetabolic syndromeObesity

Résumé

récupéré en direct d'OpenAlex

To the Editor: Hidradenitis suppurativa (HS) is a chronic inflammatory disease with significant morbidity. Studies have suggested an association between HS and metabolic syndrome,1Ergun T. Hidradenitis suppurativa and the metabolic syndrome.Clin Dermatol. 2018; 36: 41-47https://doi.org/10.1016/j.clindermatol.2017.09.007Abstract Full Text Full Text PDF PubMed Scopus (32) Google Scholar a risk factor for numerous liver pathologies. However, whether HS is independently associated with liver disease remains unclear.2Durán-Vian C. Arias-Loste M.T. Hernández J.L. et al.High prevalence of non-alcoholic fatty liver disease among hidradenitis suppurativa patients independent of classic metabolic risk factors.J Eur Acad Dermatol Venereol. 2019; 33: 2131-2136https://doi.org/10.1111/jdv.15764Crossref PubMed Scopus (16) Google Scholar,3Jung J.M. Lee K.H. Kim Y.J. et al.Assessment of overall and specific cancer risks in patients with hidradenitis suppurativa.JAMA Dermatol. 2020; 156: 844-853https://doi.org/10.1001/jamadermatol.2020.1422Crossref PubMed Scopus (13) Google Scholar Herein, we aim to resolve this discrepancy through a systematic review and meta-analysis of the literature. MEDLINE and Embase were searched from inception to October 4, 2021, using keywords "hidradenitis" and "liver disease" according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines (International prospective register of systematic reviews (PROSPERO) CRD42021228708). Of 246 records, 6 case-control, 1 cross-sectional, and 2 cohort studies, published between 2001 and 2022, were included, totaling 42,791 patients with HS (Fig 1). According to the Newcastle-Ottawa scale, all studies were rated "high" quality (Supplementary Data, available via Mendeley at https://www.doi.org/10.17632/z46my2brw6.1). Patients with HS had increased prevalence (38.5% to 72.9%) and odds (2.79-7.75) of nonalcoholic fatty liver disease (NAFLD) when adjusting for confounders, such as age, body mass index, smoking, diabetes, hypertension, dyslipidemia, and metabolic syndrome. The wide ranges reported are likely due to heterogenous screening and diagnostic criteria for NAFLD, with varying degrees of sensitivity and specificity across studies. Notably, NAFLD severity may be correlated with HS severity, as one study found that patients with severe HS had increased prevalence of liver disease (3.6% vs 1.5%, P < .05). Patients with HS also had increased prevalence of other types of hepatobiliary disease. Across studies, increased prevalence (0.5% vs 0.4%, P < .001) and odds (odds ratio = 1.27, 95% confidence interval = 1.04-1.54, P = .02) of alcoholic fatty liver disease were reported. Additionally, increased odds of hepatitis B were found across studies (odds ratio = 1.47, 95% confidence interval = 1.12-1.93, P = .005). HS was not associated with increased odds of gallstones, hepatitis A, hepatitis C, or increased risk of biliary or liver cancer across studies. Although patients with liver disease are known to be at risk for advanced fibrosis and hepatocellular carcinoma, an association between HS and cirrhosis, biliary cancer, and liver cancer was not found across a small number of studies. However, these findings may be influenced by survival bias, especially considering the increased all-cause mortality in patients with HS.4Reddy S. Strunk A. Garg A. All-cause mortality among patients with hidradenitis suppurativa: a population-based cohort study in the United States.J Am Acad Dermatol. 2019; 81: 937-942https://doi.org/10.1016/j.jaad.2019.06.016Abstract Full Text Full Text PDF PubMed Scopus (12) Google Scholar Further high-quality studies are required to investigate these associations. The association between HS and liver pathology is hypothesized to result from chronic systemic inflammation. Patients with HS have increased levels of adipokines (leptin and adiponectin),5Malara A. Hughes R. Jennings L. et al.Adipokines are dysregulated in patients with hidradenitis suppurativa.Br J Dermatol. 2018; 178: 792-793https://doi.org/10.1111/bjd.15904Crossref PubMed Scopus (25) Google Scholar which regulate hepatic fat accumulation, and proinflammatory cytokines (interleukin-1β, interleukin-6, interleukin-23, and tumor necrosis factor α), which stimulate hepatic inflammation, cell necrosis and apoptosis, and induction of fibrosis, leading to the potential development and progression of liver disease.1Ergun T. Hidradenitis suppurativa and the metabolic syndrome.Clin Dermatol. 2018; 36: 41-47https://doi.org/10.1016/j.clindermatol.2017.09.007Abstract Full Text Full Text PDF PubMed Scopus (32) Google Scholar,2Durán-Vian C. Arias-Loste M.T. Hernández J.L. et al.High prevalence of non-alcoholic fatty liver disease among hidradenitis suppurativa patients independent of classic metabolic risk factors.J Eur Acad Dermatol Venereol. 2019; 33: 2131-2136https://doi.org/10.1111/jdv.15764Crossref PubMed Scopus (16) Google Scholar Limitations include a lack of ethnic diversity across studies and the paucity of studies investigating the association of certain hepatic conditions and HS, with some outcomes only being investigated by single studies. Patients with HS should be informed of their possible increased risk of liver disease, particularly NAFLD, alcoholic fatty liver disease, and hepatitis B. Age-appropriate screening and counseling on modifiable risk factors such as weight management, smoking cessation, and alcohol intake may be beneficial. Appropriate liver workup, including liver enzymes, function tests, and imaging, should also be considered in patients with HS presenting with symptoms suggestive of liver disease. None 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.

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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,608
Score d'incertitude au seuil0,992

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0050,002
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)0,0080,000

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 Opus0,079
Tête enseignante GPT0,363
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