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Record 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 on OpenAlexaffabout
Adrian Bailey, Heidi Oi‐Yee Li, Neelabh Rastogi, Marcus G. Tan, Mark G. Kirchhof

Bibliographic record

VenueJAAD International · 2022
Typereview
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsOttawa HospitalMcGill UniversityUniversity of Ottawa
Fundersnot available
KeywordsHidradenitis suppurativaMedicineMEDLINEDiseaseFatty liverSystematic reviewMeta-analysisInternal medicineScopusDermatologyOdds ratioMetabolic syndromeObesity

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.608
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.363
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes2
Has abstractyes

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