Evaluation of subclinical left ventricular systolic dysfunction in obese patients by global myocardial work.

OBJECTIVE: To evaluate subclinical LV systolic dysfunction in obese patients by global myocardial work (MW). METHODS: A total of 589 obese patients and 100 normal controls were enrolled in the study. The global longitudinal strain (GLS), global work index (GWI), global constructive work (GCW), global wasted work (GWW) and global work efficiency (GWE) were generated by a noninvasive pressure-strain loop (PSL) in apical 3-, 4- and 2-chamber views acquired by two-dimensional echocardiography. All obese patients were divided into three groups: class I obesity (mild) 30-35 kg/m2, class II obesity (moderate) 35-40 kg/m2 and class III obesity (severe) > 40 kg/m2. These values were compared among the three groups. The independent influencing factors of subclinical LV systolic dysfunction in obese patients were explored by constructing a multiple regression model. ROC analysis was performed to determine the performance of MW to detect subclinical LV systolic dysfunction in obese patients. RESULTS: The absolute value of GLS in obese patients was significantly lower than that in normal controls (P < 0.001). The values of GWI, GCW, GWE and GCW/GWW in obese patients were significantly lower than those in normal controls (P < 0.05), while GWW was significantly larger than that in normal controls (P < 0.001). Subgroup analysis and trend analysis showed that the values of GWI, GCW, GWE and GCW/GWW in severe obese patients were lower than those in moderate obese patients and lower than those in mild obese patients (P < 0.01), while GWW in severe obese patients was larger than that in moderate obese patients and larger than that in mild obese patients (P < 0.05). Female sex, BMI and SBP were independent influencing factors of impaired GWI (ß = 0.15, P < 0.001) (ß=-0.18, P < 0.001) (ß = 0.50, P < 0.001) and GCW (ß = 0.17, P < 0.001) (ß=-0.19, P < 0.001) (ß = 0.57, P < 0.001). ROC analysis showed that the AUC of the combined global MW was significantly higher than the AUCs of the individual indices (P < 0.05). CONCLUSION: In this study, we conclude that subclinical LV systolic dysfunction was detected by the novel global MW technique in obese patients. Elevated BMI in obese patients results in an increased risk of subclinical LV systolic dysfunction, although the LVEF is normal. Controlling BMI in obese patients may reduce the impairment to the LV myocardial systolic function. Global MW is a novel and reproducible technique that can be well applied in the clinical evaluation of subclinical LV systolic dysfunction.

Risk prediction of second primary malignancies in patients after rectal cancer: analysis based on SEER Program.

BACKGROUND: This study will focus on exploring the clinical characteristics of rectal cancer (RC) patients with Second Primary Malignancies (SPMs) and constructing a prognostic nomogram to provide clinical treatment decisions. METHODS: We determined the association between risk factors and overall survival (OS) while establishing a nomogram to forecast the further OS status of these patients via Cox regression analysis. Finally, we evaluated the performance of the prognostic nomogram to predict further OS status. RESULTS: Nine parameters were identified to establish the prognostic nomogram in this study, and, the C-index of the training set and validation set was 0.691 (95%CI, 0.662-0.720) and 0.731 (95%CI, 0.676-0.786), respectively. The calibration curve showed a high agreement between the predicted and actual results, and the receiver operating characteristic (ROC) curves verified the superiority of our model for clinical usefulness. In addition, the nomogram classification could more precisely differentiate risk subgroups and improved the discrimination of SPMs' prognosis. CONCLUSIONS: We systematically explored the clinical characteristics of SPMs after RC and constructed a satisfactory nomogram.

The contribution of type 2 diabetes mellitus to hypothalamic inflammation and depressive disorders in young patients with obesity.

Background: To explore the contribution of type 2 diabetes mellitus (T2DM) to hypothalamic inflammation and depressive disorders in young patients with obesity. Methods: According to the diagnostic criteria for T2DM, all of patients with obesity were divided into the diabetic and the non-diabetic groups. The severity of depressive disorders was assessed by self-rating depression scale (SDS). The signal intensity (SI) ratio of the T2-weighted phase of the superior hypothalamus/amygdala (H/A) was measured using a quantitative magnetic resonance imaging (MRI) technique to evaluate hypothalamic inflammation. Univariate and multivariate logistic regression analysis was used to find the influencing factors of depressive disorder. The prediction equation's sensitivity and specificity for the depressive disorder were calculated based on the receiver operating characteristic (ROC) curve. Results: In young patients with obesity and diabetes, the incidence of depression is 79.49%, which was much higher than that in patients without diabetes (P<0.001). The SI of the left H/A in young patients with obesity and diabetes is significantly higher than that in non-diabetic patients (P<0.001). The relative risks of depression are fasting blood glucose (FBG) (OR 1.60; CI: 1.26-2.05), HbA1c (OR 1.94; CI: 1.40-2.68) and triglycerides (OR 1.40; CI: 1.03-1.90). Only FBG enters the predictive equation for depressive disorder, with a 52.8% sensitivity and 84.5% specificity. Conclusions: In young diabetic patients with obesity, the incidence of depressive disorder is high, a mechanism possibly related to the left hypothalamus inflammation. Elevated FBG can be an independent predictor of depressive disorder in young patients with obesity.

Using quantitative imaging to determine the correlation between hypothalamic inflammation and anxiety and depression in young patients with obesity.

BACKGROUND: To investigate the incidence of anxiety and depressive disorders in young adults with obesity and the correlation between the severity of these disorders and hypothalamic inflammation. METHODS: The severity of anxiety and depressive disorders was assessed using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), respectively. Hypothalamic inflammation was evaluated by measuring the hypothalamus/amygdala (H/A) signal intensity (SI) ratio in T2-weighted phase quantitative magnetic resonance imaging (MRI). RESULTS: The incidence of depressive disorders in young (18-45 years) patients with obesity (n=66) was higher than that in the control group (n=44); anxiety disorder incidence did not differ significantly between groups. The bilateral H/A SI ratio in the obesity group was significantly higher than that in the control group. In the obesity group, there was no significant correlation between bilateral H/A SI ratio and body mass index (BMI) (right: r=-0.145, P=0.721; left: r=0.102, P=0.415) or SAS scores (right: r=-0.118, P=0.444; left: r=-0.295, P=0.052); SDS scores were significantly correlated with left H/A SI ratio (r=-0.353, P=0.019), but not right H/A SI ratio (r=-0.031, P=0.843). CONCLUSIONS: Patients with obesity had a higher incidence of depressive disorders. Left hypothalamus inflammation may be one of the links between obesity and depressive disorders.