Open AccessCardiac injury is associated with inflammation in geriatric COVID‐19 patients
Author(s) -
Yan Xu,
Wang Shuang,
Ma Piyong,
Yang Bo,
Si Daoyuan,
Liu Guohui,
Liu Long,
Ding Mei,
Yang Wen,
Li Jiayu,
Sun Huan,
Yang Ping
Publication year - 2021
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23654
Subject(s) - medicine , procalcitonin , population , logistic regression , inflammation , cardiac function curve , cardiology , gastroenterology , sepsis , heart failure , environmental health
Abstract Background Geriatric patients with coronavirus disease (COVID‐19) are at high risk of developing cardiac injury. Identifying the factors that affect high‐sensitivity cardiac troponin I may indicate the cause of cardiac injury in elderly patients, and this could hopefully assist in protecting heart function in this patient population. Methods One hundred and eighty inpatients who were admitted for COVID‐19 were screened. Patients older than 60 years were included in this study, and the clinical characteristics and laboratory results of the cohort were analyzed. The correlation between cardiac injury and clinical/laboratory variables was statistically analyzed, and further logistic regression was performed to determine how these variables influence cardiac injury in geriatric patients. Results Age ( p < 0.001) significantly correlated with cardiac injury, whereas sex ( p = 0.372) and coexisting diseases did not. Rising procalcitonin ( p = 0.001), interleukin‐2 receptor ( p < 0.001), interleukin 6 ( p = 0.001), interleukin 10 ( p < 0.001), tumor necrosis factor α ( p = 0.001), high‐sensitivity C‐reactive protein ( p = 0.001), D‐dimer ( p < 0.001), white blood cells ( p < 0.001), neutrophils ( p = 0.001), declining lymphocytes ( p < 0.001), and natural killer cells ( p = 0.005) were associated with cardiac injury and showed predictive ability in the multivariate logistic regression. Conclusion Our results suggest that age and inflammatory factors influence cardiac injury in elderly patients. Interfering with inflammation in this patient population may potentially confer cardiac protection.