Evidence map›Paper›PMID 40351426›Full record

ArticleFrontiers in pharmacology2025

Assessment of potential drug-drug interactions in patients with hereditary angioedema from the ITACA cohort: simulations from a real-life dataset considering danazol versus berotralstat.

Andrea Zanichelli, Dario Cattaneo, Antonio Gidaro, Riccardo Senter, Francesco Arcoleo, Pietro Accardo, Donatella Bignardi, Paolo Borrelli, Caterina Colangelo, Tiziana De Pasquale and 16 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Andrea Zanichelli *Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Dario Cattaneo *Unit of Clinical Pathology, Luigi Sacco University Hospital, Milan, Italy.
Antonio Gidaro *Department of Biomedical and Clinical Sciences, Luigi Sacco Hospital, University of Milan, Milan, Italy.
Riccardo SenterDepartment of Systems Medicine, University Hospital of Padua, Padua, Italy.
Francesco ArcoleoUOC di Patologia Clinica e Immunologia, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy.
Pietro AccardoUOC di Patologia Clinica e Immunologia, Azienda Ospedaliera Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy.
Donatella BignardiAllergology Unit, IRCCS San Martino Polyclinic Hospital, Genoa, Italy.
Paolo BorrelliSSD Dermatologia e Allergologia, Ospedale Beauregard, Aosta, Italy.
Caterina ColangeloAllergy and Clinical Immunology Unit, Azienda Sanitaria Locale Di Pescara, Pescara, Italy.
Tiziana De PasqualeDepartment of Allergology, University Hospital "Maggiore della Carità" of Novara, Novara, Italy.
Davide FirinuDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
Francesca PeregoDepartment of Internal Medicine, Istituti Clinici Scientifici Maugeri IRCCS, Milan, Italy.
Massimo TriggianiDivision of Allergy and Clinical Immunology, University of Salerno, Salerno, Italy.
Giuseppe SpadaroDepartment of Translational Medical Sciences, University of Naples Federico II, Naples, Italy.
Chiara CogliatiDepartment of Biomedical and Clinical Sciences, Luigi Sacco Hospital, University of Milan, Milan, Italy.
Emanuele BizziInternal Medicine Department, Fatebenefratelli and Sacco Hospitals, Milan, Italy.
Valentina Popescu JanuDepartment of Biomedical and Clinical Sciences, Luigi Sacco Hospital, University of Milan, Milan, Italy.
Maria Domenica GuarinoAllergy Unit, Hospital of Civitanova Marche, Civitanova Marche, Italy.
Paolina QuattrocchiDepartment of Clinical and Experimental Medicine, School and Operative Unit of Allergy and Clinical Immunology, University of Messina, Messina, Italy.
Luisa BrussinoAllergy and Clinical Immunology Unit, Department of Medical Sciences, University of Torino and Mauriziano Hospital, Torino, Italy.
Oliviero RossiImmunoallergology Unit, University Hospital of Careggi, Florence, Italy.
Paola TriggianeseRheumatology, Allergology and Clinical Immunology, Department of Systems Medicine, University of Roma Tor Vergata, Rome, Italy.
Stefano AgoliniDepartment of Clinical Immunology, Azienda Ospedaliera Universitaria Ospedali Riuniti di Ancona, Ancona, Italy.
Francesco GiardinoInternal Medicine Unit, Azienda Ospedaliero-Universitaria Policlinico "G.Rodolico-San Marco", Catania, Italy.
Vincenzo MontinaroU.O.C. di Nefrologia e Dialisi, Ospedale Generale Regionale "F. Miulli", Acquaviva delle Fonti (BA), Italy.
Mauro CancianDepartment of Systems Medicine, University Hospital of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Danazol is regularly used as a prophylactic treatment in patients with Hereditary angioedema due to C1-inhibitor deficiency (HAE-C1INH). However, this drug is characterized by a risk of drug-drug interactions (DDIs). Berotralstat, the first oral kallikrein inhibitor, has been recently approved for the prevention of HAE attacks. Here, we sought to compare the risk of potential DDIs in real-life HAE patients hypothetically given Danazol or Berotralstat. Methods: Our clinic's database was retrospectively reviewed to identify patients diagnosed with HAE who were treated with at least one concomitant medication. The DDIs were assessed using three freely available drug interaction checkers and scored based on their severity. The agreement between the three drug checkers was evaluated using weighted Cohen's kappa coefficient. Results: 75 HAE patients (64% female, mean age 56 ± 21 years) were considered. They were mainly treated with antihypertensives (37%), hypoglycemic (19%), and hypolipemic agents (17%). Significant discrepancies among the three-drug interaction checkers were found. The first checker identified 18 potential DDIs, all involving Danazol and a statin (simvastatin). The second checker identified, respectively, 66 and 14 DDIs for Danazol (20% severe, regarding Simvastatin and Rivaroxaban) and Berotralstat (0% severe). The third checker identified 49 and 43 DDIs for Danazol (22% severe, regarding Simvastatin) and Berotralstat (0%). Conclusion: Berotralstat was consistently associated with a reduced risk of DDIs compared with Danazol. A rational assessment of DDIs would help select the best prophylactic treatment for HAE.

Indexed as

berotralstatbradykininC1-inhibitor deficiency, drug-drug interactionsdanazolhereditary angioedemaITACAlong-term prophylaxis

Identifiers

PMID40351426
PMCPMC12062080

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