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Clinical nutrition (Edinburgh, Scotland) · 2026

Current application and future directions for the sarcopenic obesity Global Leadership Initiative (SOGLI) diagnostic algorithm.

СтатьяСистематический обзорНазвание и аннотация: Перевод в очереди
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Minnetti Marianna, Pierantozzi Giulia, Aubertin-Leheudre Mylène, Ballesteros-Pomar Maria D, Batsis John A, Boirie Yves, Busetto Luca, Cederholm Tommy, Cruz-Jentoft Alfonso J, Genton Laurence, Gonzalez Maria Cristina, Heymsfield Steven B, Prado Carla M, Siervo Mario, Weijs Peter Jm, Poggiogalle Eleonora, Barazzoni Rocco, Donini Lorenzo M, Bennett Jonathan, Breton Irene, Brunani Amelia, Capodaglio Paolo, Caprio Massimiliano, Cardinali Ludovica, Cereda Emanuele, Coletti Dario, Defeudis Giuseppe, Schueren Marian de van der, Di Stefano Alice, Di Vincenzo Olivia, Dulloo Abdul, Eftekhariranjbar Samaneh, Eglseer Doris, Frigerio Francesco, Giustina Andrea, Guan Zhongyang, Guillet Christelle, Ho-Seong Han, Laviano Alessandro, Migliaccio Silvia, Moro Tatiana, Muscaritoli Maurizio, Muzzioli Luca, Naitoh Takeshi, Noirez Philippe, Oppert Jean-Michel, Paoli Antonio, Perna Simone, Petroni Maria Letizia, Piciocchi Claudia, Pintavalle Maria, Pistilli Giorgia, Pinto Alessandro, Rondanelli Mariangela, Salas-Salvadó Jordi, Schoufour Josje, Seelander Marilia, Semeraro Grazia, Serlie Mireille, Shi Han Ping, Swendsen Mette, Thorand Barbara, Topinkova Eva, Verlaan Sjors, Vettor Roberto, Visser Marjolein, Volkert Dorothee, Voortman Trudy, Yumuk Volkan

Аннотация

BACKGROUND: Sarcopenic obesity (SO) is characterized by excess adiposity and reduced muscle mass and function. In 2022, the Sarcopenic Obesity Global Leadership Initiative (SOGLI) proposed a diagnostic algorithm to standardize SO identification by integrating screening, diagnostic assessment, and staging.

AIM: This review evaluates the application of the SOGLI algorithm, identifying strengths, limitations, and potential areas for refinement.

METHODS: A narrative review with systematic citation tracking was conducted (April 2022-August 2025). Literature searches in PubMed, Scopus, and Web of Science identified original studies in adults (≥18 years) explicitly using the SOGLI algorithm. Data on screening, diagnostic tools, staging, prevalence, and comorbidities were synthesized.

RESULTS: Seventy-two studies applied the SOGLI algorithm, showing heterogeneous approaches across clinical settings. For obesity screening, about half used both body mass index and waist circumference, while sarcopenia screening tools were less frequently reported. For SO diagnosis, bioelectrical impedance analysis was the most common method for body composition assessment, while muscle function was predominantly assessed via hand-grip strength. SO staging was reported in 19% of studies, most often as Stage II. Application of the algorithm consistently confirmed associations between SO and chronic disease burden, functional decline, and increased mortality.

CONCLUSIONS: The SOGLI algorithm represents a major advance, with 72 studies adopting it in two years. Some inconsistencies in screening and staging suggest opportunities for refinement. These findings support its validity, while further standardization and integration of novel biomarkers could enhance its clinical effectiveness.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты