Objective: To investigate the prevalence of somatization symptoms and its correlation with social support in patients with depressive disorder. Methods: Two hundred and fourteen hospitalized patients with depressive disorder were recruited. Patients were evaluated with Somatic Symptom Inventory (SSI), Perceived Social Support from Family Scale (PSS-Fa), Social Support Rating Scale (SSRS) and the general questionnaire. Results: The average SSI scores of depressive patients was 49.63±15.53, with 26.2% (56/214) of the patients having moderate to severe level of somatic symptoms. The most common moderate to severe somatic symptoms in depressive patients were "feeling fatigued (61.3%, 131/214), weak (49.5%, 106/214), not feeling well (47.7%, 102/214), feeling faint or dizzy (48.6%, 104/214), or constipation (29.9%, 64/214)" . The average SSRS scores of patients was low (33.24±7.16). The SSI scores and its non-painful dimension (39.05±12.14) were significantly negatively correlated with family support (11.03±3.45) (r=-0.150, P=0.03; r=-0.153, P=0.02) .The SSI scores, and its somatization dimension scores (49.63±15.53) and painful dimension scores (10.58±4.18) were negatively correlated with the total scores of social support (33.24±7.16) (r=-0.164, P=0.02; r=-0.183, P=0.01; r=-0.136, P<0.05) and subjective support (19.14±4.81) (r=-0.167, P=0.02; r=-0.163, P=0.02; r=-0.177, P=0.01) . The SSI scores and its non-painful dimension of patients were negatively correlated with support utilization (r=-0.179, P=0.01; r=-0.194, P=0.01) . Conclusion Somatic symptoms are prevalent and severe in patients with depressive disorder. The somatic symptoms of depressive patients was closely correlated with decreased social support, especially low subjective support and support utilization.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective: To study the occurrence of sarcopenia in patients with liver cirrhosis, and to explore their risk factors and impact on clinical outcomes. Methods: 199 hospitalized cases with liver cirrhosis were collected for nutritional risk screening, anthropometric measurement and blood biochemical examination. The body composition analysis was measured based on the skeletal muscle content of the four limbs to calculate the appendicular skeletal muscle mass index (ASMI). Patients were divided into sarcopenia and non-sarcopenia group and the relevant indexes of both groups were compared to screen for factors affecting the occurrence of sarcopenia. During the follow-up of 48 months, the survival and complications of the both groups were compared. Statistical analysis was performed using t-test, χ² test and logistic regression analysis in terms of different data. Results: The incidence of sarcopenia in cirrhosis was 36.7%, with the highest prevalence in patients with recurrent hepatic encephalopathy (62.5%), followed by patients with abdominal ascites / pleural effusion (37.6%). The incidence of sarcopenia was significantly higher in those with nutritional risk than in those without nutritional risk (P < 0.05). However, even among those without nutritional risk, 14.8% had combined sarcopenia. The body mass index (BMI), upper arm muscle circumference (AMC), and body cell mass (BCM) of the sarcopenia group were lower than those of the non-sarcopenia group (P < 0.05), and the edema index (ECW/TBW) was higher than the latter (P < 0.05). Multivariate analysis showed that age, gender, BMI, and complications of hepatic encephalopathy were the main influencing factors of cirrhosis combined with sarcopenia (P < 0.05). During the follow-up period, the sarcopenia group had a higher mortality rate than non-sarcopenia goup (P < 0.05), and the incidence of recurrent abdominal ascites/pleural effusion, hepatic encephalopathy, and infection was also significantly elevated (P < 0.05). Conclusion Sarcopenia is one of the manifestations of malnutrition in patients with liver cirrhosis, which increases the risk of mortality and other complications, and has adverse impact on the clinical outcome. Additionally, older age, male sex, low BMI and recurrent hepatic encephalopathy has higher risk for developing sarcopenia.