Zhao Libo, Xue Xin, Gao Yinghui, Cai Weimeng, Zhao Zhe, Rui Dong, Nie Tingyu, Li Tianjiao, Ma Cong, Fan Li, Liu Lin
Cardiology Department of the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Yan'an University, Yan'an, China.
Clin Transl Sci. 2025 Mar;18(3):e70170. doi: 10.1111/cts.70170.
To examine the correlation among body composition, sleep-breathing indicators, and Framingham risk score (FRS) to identify and amplify nontraditional factors that influence the risk of CVD in males, A total of 195 male participants underwent examinations for body composition and sleep-breathing monitoring. We compared the differences in individual factors across various FRS groups. We further conducted multiple linear regression analysis. A cutoff value of FRS ≥ 14 was utilized, and potential influencing factors were examined by logistic regression analysis. Statistical differences were observed in the levels of fasting blood glucose (FBG), CO, serum ferritin, hemoglobin (HB), and ECT/TBW among the FRS tripartite groups. However, no significant differences were found in AHI and MSpO. The multiple linear regression analysis revealed positive correlations between ECW/TBW and FBG with FRS (β = 0.324 and 0.324, p < 0.001), while HB and muscle/fat mass exhibited negative correlations with the score (β = -0.185 and - 0.169, p < 0.01). These five factors-ECW/TBW, FBG, HB, serum ferritin, and muscle/fat mass-collectively accounted for 28.6% of the variation in FRS. A higher ECW/TBW was significantly associated with FRS ≥ 14 (OR = 2.208, 95% CI: 1.503-3.244). Conversely, reduced levels of muscle/fat mass, HB, and basal metabolic rate (BMR) were significantly linked to moderate-to-high CVD risk (OR = 0.532, 95% CI: 0.284-0.996; OR = 0.961, 95% CI: 0.932-0.991; OR = 0.997, 95% CI: 0.995-1.000). This study revealed correlations among ECW/TBW, HB, FBG, and muscle-to-fat mass ratio with the risk of CVD predicted using FRSs.
为了研究身体成分、睡眠呼吸指标与弗雷明汉风险评分（FRS）之间的相关性，以识别和强化影响男性心血管疾病（CVD）风险的非传统因素，共有195名男性参与者接受了身体成分检查和睡眠呼吸监测。我们比较了不同FRS组中个体因素的差异。我们进一步进行了多元线性回归分析。采用FRS≥14的临界值，并通过逻辑回归分析检查潜在影响因素。在FRS三分组中，空腹血糖（FBG）、一氧化碳（CO）、血清铁蛋白、血红蛋白（HB）和细胞外液/总体水（ECW/TBW）水平存在统计学差异。然而，在呼吸暂停低通气指数（AHI）和最低血氧饱和度（MSpO）方面未发现显著差异。多元线性回归分析显示，ECW/TBW和FBG与FRS呈正相关（β = 0.324和0.324，p < 0.001），而HB和肌肉/脂肪量与评分呈负相关（β = -0.185和 -0.169，p < 0.01）。这五个因素——ECW/TBW、FBG、HB、血清铁蛋白和肌肉/脂肪量——共同解释了FRS变异的28.6%。较高的ECW/TBW与FRS≥14显著相关（比值比[OR] = 2.208，95%置信区间[CI]：1.503 - 3.244）。相反，肌肉/脂肪量、HB和基础代谢率（BMR）水平降低与中度至高度CVD风险显著相关（OR = 0.532，95% CI：0.284 - 0.996；OR = 0.961，95% CI：0.932 - 0.991；OR = 0.997，95% CI：0.995 - 1.000）。本研究揭示了ECW/TBW、HB、FBG和肌肉与脂肪量之比与使用FRS预测的CVD风险之间的相关性。
