Objective: To determine the impact of low T3 syndrome on adverse cardiovascular events in adult patients with acute viral myocarditis. Methods: The study population consisted of 134 consecutive patients admitted between January 2002 and March 2018 with diagnoses of acute viral myocarditis (onset of symptoms<1 month,patients were divided into low serum free triiodothyronine (FT3, n=20) group and normal FT3 (n=114) group. General information, clinical presentation,electrocardiography at admission,laboratory tests,echocardiography features were analyzed. Low T3 syndrome was defined as a state with decreased FT3 and total triiodothyronine (TT3), normal or decreased free thyroxine (FT4) and total thyroxine (TT4) as well as normal thyroid stimulating hormone (TSH). Composite adverse cardiovascular events included death, persistent ventricular tachycardia (VT) or ventricular fibrillation (VF) and cardiac arrest. Risk factors related with composite adverse cardiovascular events in adult patients with acute viral myocarditis were analyzed by logistic regression analysis. Results: Systolic blood pressure was significantly lower (P<0.01),while heart rate (P=0.004) and the prevalence of VT/VF were significantly higher (P=0.017) in low T3 group than in the normal T3 group. Level of white blood cell,C response protein,fasting glucose (all P<0.01) as well as creatinine (P=0.035) were significantly higher, while level of FT3 and left ventricular ejection fraction (LVEF) were significantly lower (both P<0.01) in low T3 group than in normal T3 group. Multivariate logistic regression analysis revealed that LVEF at admission less than 40% (OR=6.615,95%CI 1.186-36.907, P=0.031) and FT3 level less than 1.79 ng/L (OR=9.131, 95%CI 1.577-52.857, P=0.014) were independent risk factors of increased composite adverse cardiovascular events in patients with acute viral myocarditis. Conclusion Low FT3 increases the risk of adverse cardiovascular events in adult patients with acute viral myocarditis.

OBJECTIVE: Non-contact continuous blood pressure monitoring is significant in vital sign monitoring. Frequency modulated continuous wave (FMCW) radar is suitable for non-contact wave signal extraction. A heartbeat-guided blood pressure monitoring algorithm using FMCW radar is proposed. METHODS: The target heart rate is detected and pulse wave signal is extracted based on FMCW reflected signals. The variational mode decomposition (VMD) is introduced to alleviate the interferences of human breath and slight body movements. The pulse wave signal is extracted based on target heart rate. Blood pressure related features of pure pulse waveform are extracted to obtain blood pressure based on its estimation model. RESULTS: Experiments are conducted indoor among 15 participants sitting in a nature state. The average accuracy of diastolic blood pressure (DBP) is 94.3% and that of systolic blood pressure is 94.4%. CONCLUSIONS The experimental results demonstrate the robustness and effectiveness of the proposed algorithm, which makes it possible to further achieve long-term real-time non-contact blood pressure monitoring.
Algorithms ; Blood Pressure ; Blood Pressure Determination ; Heart Rate ; Humans ; Radar ; Signal Processing, Computer-Assisted ; Vital Signs