We performed a cross-sectional study of 82 Chinese patients with Parkinson's disease (PD) enrolled during an 18-month period using a clinical interview to assess the prevalence of nonmotor symptoms (NMS), the association with disease severity and motor status, and the impact on patients' health-related quality of life (Hr-QoL). The patients' NMS, Hr-QoL, disease severity, and motor status were assessed by the Nonmotor Symptoms Scale (NMSS), the 39-item Parkinson's Disease Questionnaire (PDQ-39), the modified Hoehn and Yahr staging scale (H&Y) and the Unified Parkinson's Disease Rating Scale part III (UPDRS III), respectively. We found that 100% of patients with PD presented with NMS. The NMSS significantly correlated with disease duration (Spearman's r(S) = 0.276, P = 0.012), H&Y (r(S) = 0.230, P = 0.038), and UPDRS III (r(S) = 0.350, P = 0.001). Similarly, the PDQ-39 SI significantly associated with the disease duration (r(S) = 0.258, P = 0.019), H&Y (r(S) = 0.340, P = 0.002), and UPDRS III (r(S) = 0.453, P < 0.001). NMS domains that influenced the PDQ-39 SI were sleep/fatigue, mood, gastrointestinal, urinary, and miscellaneous symptoms. This strongly suggested that the five domains played a key role in the manifestation of Hr-QoL. NMSS explains more of the variability in Hr-QoL than UPDRS III, when both are the model (stepwise multiple linear regression analysis R² change, 47.8% vs. 5.87%, respectively). Therefore, these findings demonstrate that NMS are independently and negatively associated with Hr-QoL in PD and that improving NMS should be viewed as an important part in the management of PD.

No abstract

Background The evidence of sarcopenia based on CT-scan as an important prognostic factor for critically ill patients has not seen consistent results. To determine the impact of sarcopenia on mortality in critically ill patients, we performed a systematic review and meta-analysis to quantify the association between sarcopenia and mortality. Methods We searched studies from the literature of PubMed, EMBASE, and Cochrane Library from database inception to June 15, 2020. All observational studies exploring the relationship between sarcopenia based on CT-scan and mortality in critically ill patients were included. The search and data analysis were independently conducted by two investigators. A meta-analysis was performed using STATA Version 14.0 software using a fixed-effects model. Results Fourteen studies with a total of 3,249 participants were included in our meta-analysis. The pooled prevalence of sarcopenia among critically ill patients was 41 % (95 % CI:33-49 %). Critically ill patients with sarcopenia in the intensive care unit have an increased risk of mortality compared to critically ill patients without sarcopenia (OR = 2.28, 95 %CI: 1.83–2.83; P < 0.001; I2 = 22.1 %). In addition, a subgroup analysis found that sarcopenia was associated with high risk of mortality when defining sarcopenia by total psoas muscle area (TPA, OR = 3.12,95 %CI:1.71–5.70), skeletal muscle index (SMI, OR = 2.16,95 %CI:1.60–2.90), skeletal muscle area (SMA, OR = 2.29, 95 %CI:1.37–3.83), and masseter muscle(OR = 2.08, 95 %CI:1.15–3.77). Furthermore, critically ill patients with sarcopenia have an increased risk of mortality regardless of mortality types such as in-hospital mortality (OR = 1.99, 95 %CI:1.45–2.73), 30-day mortality(OR = 2.08, 95 %CI:1.36–3.19), and 1-year mortality (OR = 3.23, 95 %CI:2.08 -5.00). Conclusions Sarcopenia increases the risk of mortality in critical illness. Identifying the risk factors of sarcopenia should be routine in clinical assessments and offering corresponding interventions may help medical staff achieve good patient outcomes in ICU departments.

Aim:The aim of the study was to determine the psychometric properties, construct validity and internal consistency of the Chinese language version of the Nurse Professional Competence scale short form.Design: A methodological design was used.Methods: Questionnaire data from 260 nursing students nearing graduation from 2 universities in China were analysed using confirmatory factor analysis, known-group validity and internal consistency. Results:The confirmatory factor analysis revealed that the model was acceptable, and the analyses for known-group validity revealed statistically significant differences in all factors and the total scale of the Nurse Professional Competence scale short form. Internal consistency revealed that Cronbach's alpha values exceeded 0.70 for all factors and the total scale. The Chinese language version of the Nurse Professional Competence scale short form has acceptable construct validity and good internal consistency.

No abstract