by Tingting Jiang, Taiping Lin, Xiaoyu Shu, Quhong Song,
Miao Dai, Yanli Zhao, Li Huang, Xiangping Tu and Jirong Yue
Critical Care volume 26,
Article number: 140 (2022) Published: 16
May 2022
Background
Sarcopenia is defined as age-related loss of muscle mass,
strength, and/or function in the context of aging. Mechanical ventilation (MV)
is one of the most frequently used critical care technologies in critically ill
patients. The prevalence of preexisting sarcopenia and the clinical impact of
its prognostic value on patients with MV are unclear. This review sought to
identify the prevalence and prognostic value of preexisting sarcopenia on MV
patient health outcomes.
Methods
Relevant studies were identified by searching MEDLINE,
Embase, and the Cochrane library and were searched for all articles published
as of December 2021. The prevalence of sarcopenia was determined using the
authors' definitions from the original studies. Comparisons were made between
patients who did and did not have sarcopenia for prognostic outcomes, including
mortality, the number of days of MV, the length of intensive care unit stay,
and the length of hospital stay. Odds ratios (ORs) and weighted mean differences
with 95% confidence intervals (CIs) were used for pooled analyses of the
relationships between sarcopenia and prognostic outcomes.
Results
The initial search identified 1333 studies, 17 of which met
the eligibility criteria for the quantitative analysis, including 3582
patients. The pooled prevalence was 43.0% (95% CI 34.0–51.0%; I2 = 96.7%).
The pooled analyses showed that sarcopenia was related to increased mortality
(OR 2.13; 95% CI 1.70, 2.67; I2 = 45.0%), longer duration of MV (MD = 1.22;
95% CI 0.39, 2.05; I2 = 97.0%), longer days of ICU stay (MD = 1.31; 95% CI
0.43, 2.19; I2 = 97.0%), and hospital stay (MD 2.73; 95% CI 0.58,
4.88; I2 = 98.0%) in patients with MV.
Conclusion
The prevalence of sarcopenia is relatively high in patients
with MV, and it will have a negative impact on the prognosis of patients.
However, further, large-scale, high-quality prospective cohort studies are
required.
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