Evidence map›Paper›PMID 42851714›Full record

ArticleFrontiers in systems biology2026

Latent multimorbidity classes and antithrombotic medication distributions among patients hospitalized for bleeding after dental surgery: a retrospective study.

Juliane Wagner, Johannes Heinrich Spille, Jill Flor, Zeyue Ouyang, Jonas Conrad, Christof Dörfer, Jörg Wiltfang, Hendrik Naujokat

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Article in Frontiers in systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Juliane WagnerDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Johannes Heinrich SpilleDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Jill FlorDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Zeyue OuyangDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Jonas ConradClinic of Conservative Dentistry and Periodontology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Christof DörferClinic of Conservative Dentistry and Periodontology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Jörg WiltfangDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Hendrik NaujokatDepartment of Oral and Maxillofacial Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To characterize patients hospitalized for postoperative intraoral bleeding after dental surgery and to describe latent multimorbidity classes and their observed antithrombotic medication distributions. Materials and Methods: This single-center retrospective study included 700 patients hospitalized between 2011 and 2021. Demographic characteristics, clinical measurements, comorbidities, and antithrombotic medication categories were extracted from medical records. Latent class analysis was performed in 458 patients with at least two documented comorbidities using 11 binary indicators. Models containing one to six classes were compared using information criteria, entropy, the bootstrap likelihood ratio test, class size, and clinical interpretability. Stability of the selected solution was assessed using 100 bootstrap resamples. Results: The median age was 74 years, 460 patients (65.7%) were male, and 581 (83.0%) were receiving at least one antithrombotic medication. A five-class solution was selected. Class 1 (n = 26, 5.7%) was characterized by deep venous thrombosis, hypertension, and cardiac disease; Class 2 (n = 97, 21.2%) by heart valve replacement and cardiac disease; Class 3 (n = 55, 12.0%) by stroke, cardiac disease, and hypertension; Class 4 (n = 151, 33.0%) by hypertension and cardiac disease; and Class 5 (n = 129, 28.2%) by a broader multisystem profile involving cardiac disease, hypertension, diabetes, renal disease, and gastrointestinal disease. Vitamin K antagonist (VKA) use was most frequent in Classes 1 and 2, whereas direct oral anticoagulant (DOAC) use was most frequent in Class 4. Bootstrap analysis indicated moderate overall stability. Conclusion: The study describes clinically relevant heterogeneity among hospitalized bleeding cases.

Indexed as

anticoagulationdirect oral anticoagulantslatent class analysismultimorbidityoral surgerypostoperative bleedingvitamin K antagonists

Identifiers

PMID42851714
PMCPMC13646137

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