Rosacea: identification of key disease factors and topical therapy with metronidazole

Background. There is a complex interaction of endogenous and exogenous factors in rosacea pathogenesis. Existing methods of analysis often do not consider the multifactorial nature of dermatosis, which complicates effective management of patients. Objective. To identify the main relationships between the development factors and rosacea severity building a Bayesian network model original for this dermatosis, as well as to evaluate the results of topical therapy with metronidazole. Material and methods. The study was performed from 2023 to 2025 in Kazan. It involved 117 patients with papulopustular rosacea, median age 35.0 [24; 45] years. The studied parameters included: unchangeable (general characteristics, anamnestic data) and changeable (laboratory indicators, morphofunctional parameters and microbiota content of the facial skin) factors. Obtained parameters — clinical characteristics and dermatological indices. At the first stage of the study, a reconstruction of non-parametric Bayesian network was carried out using a modified algorithm that ensures reproducibility of the model due to clear threshold criteria (Spearman’s rank correlation coefficient equal 0.7 and above) and cycle elimination stages. At the second stage, a group of patients (n=52) with papulopustular subtype of rosacea of mild and moderate course was formed from the total sample, and these subjects underwent 12-week topical therapy with 1% metronidazole gel. Results. With the use of a new network approach for rosacea, key factors influencing the course of dermatosis were identified, 4 clusters of features describing the influence of hormonal, biochemical, immunohematologic and microbial pathogenesis factors were formed. Topical therapy of patients (n=52) with 1% metronidazole gel was effective in 86.5% (n=45) cases. Adverse local reactions were characterized by a mild degree of severity and did not require withdrawal of the drug. Conclusion. The proposed multicomponent Bayesian rosacea model with methodological reproducibility is useful for understanding the relationships between pathogenesis factors and clinical manifestations of dermatosis. Topical therapy of papulopustular rosacea with 1% metronidazole gel has shown high effectiveness, safety and favorable tolerability.

Authors

Institutions

Publication Details

Journal
Russian Journal of Clinical Dermatology and Venereology
Published
2026-03-16
DOI
https://doi.org/10.17116/klinderma20262501163
Primary Topic
Acne and Rosacea Treatments and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rosacea: identification of key disease factors and topical therapy with metronidazole

O.A. Kravtsova, S.A. Lisovskaya, A. R. Kayumov, M. A. Bogachev et al.
Russian Journal of Clinical Dermatology and Venereology
Acne and Rosacea Treatments and Effects
article

Rosacea: identification of key disease factors and topical therapy with metronidazole

O.A. Kravtsova, S.A. Lisovskaya, A. R. Kayumov, M. A. Bogachev, A.M. Sinitsa, A.R. Khalilullina, I.M. Khismatulina, Ya.E. German, A.F. Illarionova
article en

Abstract

Background. There is a complex interaction of endogenous and exogenous factors in rosacea pathogenesis. Existing methods of analysis often do not consider the multifactorial nature of dermatosis, which complicates effective management of patients. Objective. To identify the main relationships between the development factors and rosacea severity building a Bayesian network model original for this dermatosis, as well as to evaluate the results of topical therapy with metronidazole. Material and methods. The study was performed from 2023 to 2025 in Kazan. It involved 117 patients with papulopustular rosacea, median age 35.0 [24; 45] years. The studied parameters included: unchangeable (general characteristics, anamnestic data) and changeable (laboratory indicators, morphofunctional parameters and microbiota content of the facial skin) factors. Obtained parameters — clinical characteristics and dermatological indices. At the first stage of the study, a reconstruction of non-parametric Bayesian network was carried out using a modified algorithm that ensures reproducibility of the model due to clear threshold criteria (Spearman’s rank correlation coefficient equal 0.7 and above) and cycle elimination stages. At the second stage, a group of patients (n=52) with papulopustular subtype of rosacea of mild and moderate course was formed from the total sample, and these subjects underwent 12-week topical therapy with 1% metronidazole gel. Results. With the use of a new network approach for rosacea, key factors influencing the course of dermatosis were identified, 4 clusters of features describing the influence of hormonal, biochemical, immunohematologic and microbial pathogenesis factors were formed. Topical therapy of patients (n=52) with 1% metronidazole gel was effective in 86.5% (n=45) cases. Adverse local reactions were characterized by a mild degree of severity and did not require withdrawal of the drug. Conclusion. The proposed multicomponent Bayesian rosacea model with methodological reproducibility is useful for understanding the relationships between pathogenesis factors and clinical manifestations of dermatosis. Topical therapy of papulopustular rosacea with 1% metronidazole gel has shown high effectiveness, safety and favorable tolerability.

Russian Journal of Clinical Dermatology and VenereologyVol. 25(1)
Kazan State Medical University (RU), Kazan Federal University (RU), Saint Petersburg State Electrotechnical University (RU), Sema Construction (United States) (US), Martel (CH), Kazan State Medical Academy (RU), Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (RU)
Openalex Percentile: Top 19%
Acne and Rosacea Treatments and Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.