Correlation between skeletal muscle mass index and length of stay in stroke patient

Etisa Adi Murbawani (Doctoral Program in Medical and Health Science, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Hertanto Wahyu Subagio (Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Dodik Tugasworo Pramukarso (Medical Staff Committee, Neurology, Dr. Kariadi General Hospital, Semarang, Central Java)
Siti Fatimah Muis (Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Dwi Pudjonarko (Neurology Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Enny Probosari (Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Aryu Candra (Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)
Martha Ardiaria (Clinical Nutrition Department, Faculty of Medicine, Universitas Diponegoro, Semarang, Central Java)

JURNAL GIZI INDONESIA
Vol 14, No 2 (2026): June

ABSTRACTBackground: sarcopenia is a syndrome characterized by progressive condition and generalized loss of skeletal muscle mass and strength. It is associated with our prognosis and increased length of stay in stroke patients. Skeletal Muscle Mass Index (SMMI) is an important parameter for assessing skeletal muscle mass and the clinical outcomes of stroke patients.Objective: to investigate the relationship between SMMI and length of stay among stroke patient.Materials and Methods: the cross-sectional observational analytical research was conducted at Dr. Kariadi Semarang Hospital from June 2024 to March 2025 in hospitalized stroke patients aged >18 years. Body composition, including skeletal muscle mass (SMM), is measured using bioelectrical impedance analysis (BIA). Skeletal Muscle Mass will be utilized to calculate the SMMI. Length of stay calculated from admission to discharge from the hospital. Data were analyzed by Independent t-test, Pearson Correlation and Multiple Linear Regression.Results: the average length of stay among the 78 individuals (43 males and 35 females) was 11±3.64 days. The average SMMI levels were normal (7.61± 3.09), indicating no sarcopenia. Skeletal Muscle Mass Index was significantly related with length of stay in stroke patients (r=-0.615; p=0.000) according to the bivariate test.Conclusion: the higher the SMMI values, were correlated with shorter length of stay.Keywords: Length of stay; sarcopenia; skeletal muscle mass index; stroke