The aim of our study was to investigate the rate of nonalcoholic fatty pancreas disease (NAFPD) in the south China province of Fujian and its relationship to nonalcoholic fatty liver disease (NAFLD) and metabolic parameters. NAFPD is frequently identified on transabdominal ultrasound examination. The incidence of NAFPD varies from 16% to 69.7% depending on the country. A total of 256 subjects were recruited. Each was assessed by abdominal sonography to diagnose NAFLD and NAFPD. The ages, sexes, heights, weights, blood pressure, and detection of peripheral blood biochemical indices (cholesterol, triglycerides, high-density lipoprotein cholesterol [HDL], low-density lipoprotein cholesterol [LDL], and glucose) were recorded. The relationships among metabolic parameters and NAFPD or NAFLD were evaluated, and the positive rates of NAFLD and NAFPD in the general population were compared. The age, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), cholesterol, triglycerides, HDL, LDL, and glucose were significantly associated with NAFPD and NAFLD but the positive rate of NAFPD was significantly higher than that of NAFLD. The BMI, age, and NAFLD were the independent risk factors of NAFPD. The sex distribution, weight, SBP, DBP, BMI, LDL, HDL, triglycerides, glucose, cholesterol, NAFPD, and NAFLD were different significantly between metabolic syndrome and normal subjects. NAFPD and NAFLD can reflect the body metabolism, but NAFPD has a higher detection rate.

The aim of the current study was to investigate the importance of strain elastography (SE) in the differential diagnosis of benign and malignant soft tissue masses. SE was adopted to examine 61 patients with superficial masses, classify their elastic scores and assess their strain ratios (SRs) between the masses and the surrounding structures. Significantly increased SR values and elastic scores were observed in the malignant masses compared with the benign masses (5.42±3.47 vs. 1.80±2.10, P2.295 as the optimal threshold value, the sensitivity, specificity and positive and negative predictive values for diagnosing a malignant mass were 93.8, 80.5, 65.2 and 97.1%, respectively; whilst using an elastic score of ≥3 as the optimal threshold value, the sensitivity, specificity and positive and negative predictive values for diagnosing a malignant mass were 100, 51.6, 51.6 and 100%, respectively. SR values and elastic scores were significantly different between the malignant and benign soft tissue masses. Therefore, SE may be used to effectively differentiate between malignant and benign soft tissue masses.

Objectives Triglyceride (TG), triglyceride-glucose index (TyG), body mass index (BMI), TyG-BMI and triglyceride to high-density lipoprotein ratio (TG/HDL) have been reported to be reliable predictors of non-alcoholic fatty liver disease. However, there are few studies on potential predictors of non-alcoholic fatty pancreas disease (NAFPD). Our aim was to evaluate these and other parameters for predicting NAFPD. Design Cross-sectional study design. Setting Physical examination centre of a tertiary hospital in China. Participants This study involved 1774 subjects who underwent physical examinations from January 2016 to September 2016. Primary and secondary outcome measures From each subject, data were collected for 13 basic physical examination and blood biochemical parameters: age, weight, height, BMI, TyG, TyG-BMI, high-density lipoprotein (HDL), low-density lipoprotein, total cholesterol, TG, fasting plasma glucose, TG/HDL and uric acid. NAFPD was diagnosed by abdominal ultrasonography. A logistic regression model with a restricted cubic spline was used to evaluate the relationship between each parameter and NAFPD. The receiver operating characteristic (ROC) curve was used to calculate the area under the curve for each parameter. Results HDL was negatively correlated with NAFPD, height was almost uncorrelated with NAFPD and the remaining 11 parameters were positively correlated with NAFPD. ROC curve showed that weight-related parameters (weight, BMI and TyG-BMI) and TG-related parameters (TyG, TG and TG/HDL) had high predictive values for the identification of NAFPD. The combinations of multiple parameters had a better prediction effect than a single parameter. All the predictive effects did not differ by sex. Conclusions Weight-related and TG-related parameters are good predictors of NAFPD in all populations. BMI showed the greatest predictive potential. Multiparameter combinations appear to be a good way to predict NAFPD.

Hyperuricemia can promote both blood lipids and non-alcoholic fatty liver disease (NAFLD). However, the role of the entire uric acid (UA) span, especially low concentrations below hyperuricemia, on lipid metabolism remains unclear. A cross-sectional study was designed. Data on the age, sex, UA, triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) of 1977 participants, who underwent physical examination, were collected. NAFLD and non-alcoholic fatty pancreas disease (NAFPD) were diagnosed using abdominal ultrasound. Restricted cubic splines (RCS) linear regression model was used to evaluate the effect of the UA span on TG, TC, HDL, and LDL, respectively. RCS logistic regression model was employed to evaluate the effect of the UA span on NAFLD and NAFPD. RCS linear regression model showed that TG was negatively correlated with UA at first, then exhibiting a positive correlation. Meanwhile, HDL was positively correlated with UA at first, then negatively correlated. There was a positive linear correlation between TC and UA (P for nonlinear = 0.578) and a positive nonlinear correlation between LDL and UA (P for nonlinear = 0.021). RCS logistic regression model showed that NAFLD and NAFPD were negatively correlated with UA at first and then positively correlated with UA. our study showed that the entire UA span has a J-shaped effect on some lipids, NAFLD, and NAFPD. Besides, TG and HDL, compared with TC or LDL, may better reflect the status of NAFLD and NAFPD.

Fetal growth restriction (FGR) and late-onset preeclampsia (late-onset PE) reflect placental dysfunction but exhibit distinct maternal hemodynamics within the “maternal cardiovascular-placental-fetal unit”. Our objective was to investigate the correlation between fetal-placental Doppler indices and maternal cardiac function in pregnant women with late-onset PE or FGR. A total of 90 pregnant women at 35–39⁺⁶ weeks of gestation were enrolled and divided into three groups: Control (n = 30), FGR (n = 30), and late-onset PE (n = 30). Doppler ultrasonography was used to measure uterine artery pulsatility indices(UtA-PI), umbilical artery pulsatility indices(UA-PI) Z-scores, and middle cerebral artery pulsatility indices(MCA-PI) Z-scores, alongside maternal hemodynamic parameters, including cardiac output (CO), peripheral vascular resistance (PVR), left ventricular mass (LVM), and left atrial anteroposterior diameter (LAAPD).The Kruskal-Wallis test was used to compare characteristics among the three groups. Spearman’s rank correlation analysis was employed to assess relationships between maternal cardiac output/peripheral vascular resistance and fetal-placental Doppler indices in the three subgroups. Partial Spearman rank correlation analysis adjusting for maternal age and BMI was used to evaluate independent associations. FGR neonates had the lowest birth weights (p < 0.05). The FGR group showed reduced CO, LVM, LAAPD (p < 0.05) but elevated PVR, UtA-PI, UA-PI Z-scores (p < 0.05). Late-onset PE exhibited preserved cardiac function (CO, LVM, LAAPD comparable to controls, p > 0.05) but significantly higher CO, LVM, LAAPD than FGR (p < 0.05). No significant differences in MCA-PI Z-scores were observed across groups. UtA-PI negatively correlated with CO (ρ=−0.396, p < 0.001) but positively with PVR (ρ = 0.371, p < 0.001). UA-PI Z-score negatively correlated with CO (ρ=−0.257, p = 0.015). However, MCA-PI Z-scores showed no correlation with CO and PVR.Notably, 90% of FGR cases clustered in the low-CO/high-UtA-PI quadrant. In direct response to our primary aim investigating maternal-fetal hemodynamic coupling, we conclude that: FGR manifests as maternal hemodynamic failure (low-CO/high-UtA-PI) causing placental hypoperfusion; Late-onset PE presents volume overload with preserved uteroplacental function; Dual UtA-PI and CO assessment provides phenotype-specific biomarkers to guide targeted therapy.