Liqiong Yao1, Zhiwu Liu2, Jinhong Zhu2, Bin Li3, Chen Chai4, Yunlin Tian5. 1. Department of Medical Laboratory center, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China. Electronic address: medyaoliq@sina.com. 2. Department of Medical Laboratory center, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China. 3. Department of Intensive Care Unit, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China. 4. Department of general surgery, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China. 5. Department of endocrinology, the First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China.
Abstract
BACKGROUND: There have been sporadic case reports published focusing on myoglobin and sepsis. However, there are no systematic studies evaluating the correlation between myoglobin level and sepsis. This study investigated the correlation between the serum myoglobin level and the severity of septic patients. Next, we assessed the predictive value of the serum myoglobin level for the prognosis of septic patients. METHODS: Seventy septic patients were included and subdivided into the following 3 groups: sepsis group, severe sepsis group, and septic shock group. We collected blood samples at 0, 6, 12, 18, and 24hours after admission. The serum levels of myoglobin, C-reactive protein, and procalcitonin were analyzed. We also evaluated the levels of malondialdehyde, which is a biomarker for oxidative stress. RESULTS: The data indicate that the myoglobin level increased gradually within 24hours after admission. The median myoglobin levels of the sepsis, severe sepsis, and septic shock groups were 635.7, 903.6, and 1094.8μg/L, respectively (P<.05). The elevated myoglobin level was positively correlated with Sequential Organ Failure Assessment score, C-reactive protein, and procalcitonin level in septic patients. The increased myoglobin level was also associated with the mortality of septic patients. The Kaplan-Meier survival curves indicated that patients with high myoglobin levels had an elevated mortality rate. Moreover, an elevated myoglobin level indicated more oxidative stress. CONCLUSIONS: The myoglobin level can be detected in the early stage of sepsis and may serve as a potential biomarker for evaluating sepsis severity and further prognosis.
BACKGROUND: There have been sporadic case reports published focusing on myoglobin and sepsis. However, there are no systematic studies evaluating the correlation between myoglobin level and sepsis. This study investigated the correlation between the serum myoglobin level and the severity of septic patients. Next, we assessed the predictive value of the serum myoglobin level for the prognosis of septic patients. METHODS: Seventy septic patients were included and subdivided into the following 3 groups: sepsis group, severe sepsis group, and septic shock group. We collected blood samples at 0, 6, 12, 18, and 24hours after admission. The serum levels of myoglobin, C-reactive protein, and procalcitonin were analyzed. We also evaluated the levels of malondialdehyde, which is a biomarker for oxidative stress. RESULTS: The data indicate that the myoglobin level increased gradually within 24hours after admission. The median myoglobin levels of the sepsis, severe sepsis, and septic shock groups were 635.7, 903.6, and 1094.8μg/L, respectively (P<.05). The elevated myoglobin level was positively correlated with Sequential Organ Failure Assessment score, C-reactive protein, and procalcitonin level in septic patients. The increased myoglobin level was also associated with the mortality of septic patients. The Kaplan-Meier survival curves indicated that patients with high myoglobin levels had an elevated mortality rate. Moreover, an elevated myoglobin level indicated more oxidative stress. CONCLUSIONS: The myoglobin level can be detected in the early stage of sepsis and may serve as a potential biomarker for evaluating sepsis severity and further prognosis.
Authors: Gang Liu; Zhong-He Ji; Yang Yu; Xin-Bao Li; Yan-Bin Zhang; Kai-Wen Peng; Yan Li Journal: Medicine (Baltimore) Date: 2017-11 Impact factor: 1.817