ABSTRACT
Objective To investigate the cardiac structural and functional characteristics in the patients with heart failure with preserved ejection fraction (HFpEF) and type 2 diabetes mellitus (T2DM),and predict the factors influencing the characteristics. Methods A total of 783 HFpEF patients diagnosed in the Department of Geriatric Cardiology,the First Hospital of Lanzhou University from April 2009 to December 2020 were enrolled in this study.Echocardiography and tissue Doppler technique were employed to evaluate cardiac structure and function.According to the occurrence of T2DM,the patients were assigned into a HFpEF+T2DM group (n=332) and a HFpEF group (n=451).Propensity score matching (PSM)(in a 1∶1 ratio) was adopted to minimize confounding effect.According to urinary albumin excretion rate (UAER),the HFpEF+T2DM group was further divided into three subgroups with UAER<20 μg/min,of 20-200 μg/min,and>200 μg/min,respectively.The comorbidities,symptoms and signs,and cardiac structure and function were compared among the groups to clarify the features of diabetes related HFpEF.Multivariate linear regression was conducted to probe the relationship of systolic blood pressure,blood glucose,glycosylated hemoglobin,and UARE with cardiac structural and functional impairment. Results The HFpEF+T2DM group had higher prevalence of hypertension (P=0.001) and coronary heart disease (P=0.036),younger age (P=0.020),and larger body mass index (P=0.005) than the HFpEF group,with the median diabetic course of 10 (3,17) years.After PSM,the prevalence of hypertension and coronary heart disease,body mass index,and age had no significant differences between the two groups(all P>0.05).In addition,the HFpEF+T2DM group had higher interventricular septal thickness (P=0.015),left ventricular posterior wall thickness (P=0.040),and left ventricular mass (P=0.012) and lower early diastole velocity of mitral annular septum (P=0.030) and lateral wall (P=0.011) than the HFpEF group.Compared with the HFpEF group,the HFpEF+T2DM group showed increased ratio of early diastolic mitral filling velocity to early diastolic mitral annular velocity (E/e') (P=0.036).Glycosylated hemoglobin was correlated with left ventricular mass (P=0.011),and the natural logarithm of UAER with interventricular septal thickness (P=0.004),left ventricular posterior wall thickness (P=0.006),left ventricular mass (P<0.001),and E/e' ratio (P=0.049). Conclusion The patients with both T2DM and HFpEF have thicker left ventricular wall,larger left ventricular mass,more advanced left ventricular remodeling,severer impaired left ventricular diastolic function,and higher left ventricular filling pressure than the HFpEF patients without T2DM.Elevated blood glucose and diabetic microvascular diseases might play a role in the development of the detrimental structural and functional changes of the heart.
Subject(s)
Humans , Aged , Heart Failure/diagnosis , Diabetes Mellitus, Type 2 , Stroke Volume , Glycated Hemoglobin , Blood Glucose , Propensity Score , Ventricular Function, Left , HypertensionABSTRACT
<p><b>OBJECTIVE</b>To investigate the Raman spectral characteristics of the pathological lip minor salivary glands affected in primary Sjögren's syndrome.</p><p><b>METHODS</b>Thirty pathological samples and 30 normal samples were collected in this study. The samples were examined by Raman microscope.Support vector machine(SVM) was employed to analyze the data and establish the classification model.</p><p><b>RESULTS</b>The spectra of pathological tissues was different from the controls in proteins, nucleic acids, lipids and glycogen skeleton. The sensitivity, specificity and accuracy of the model established by SVM on the training sets were all 92.0% (92/100), but the sensitivity, specificity and accuracy of the model established by SVM on the testing sets were 69.2% (37/53), 100.0% (37/37) and 82.0% (73/89) respectively.</p><p><b>CONCLUSIONS</b>There was significant difference in Raman spectra between the pathological and normal lip salivary glands, and the classification model established by SVM could discriminate the pathological glands from the normal ones.</p>