Pain-Related Factors and Their Impact on Quality of Life in Chinese Patients With Amyotrophic Lateral Sclerosis.

Objectives: Pain is considered a common symptom in amyotrophic lateral sclerosis (ALS). However, the results of studies on pain in ALS are limited and inconsistent. The aim of our study was to comprehensively evaluate the potential factors of pain and effects on quality of life (QoL) in patients with ALS from China. Participants and Methods: Patients were eligible if they fulfilled the criteria of probable and definitive ALS according to the revised El Escorial criteria. Pain was assessed by the Brief Pain Inventory (BPI). Disease severity, sleep quality, fatigue, anxiety, depression, and quality of life (QoL) were evaluated in ALS patients by the ALS Functional Rating Scale-revised (ALSFRS-R) and ALS severity scale (ALSSS), Pittsburgh Sleep Quality Index (PSQI), Fatigue Severity Scale (FSS), Hamilton Anxiety Rating Scale (HARS), Hamilton Depression Rating Scale (HDRS) and McGill Quality of Life Questionnaire (MQOL). Then, the clinical characteristics of ALS patients with pain were compared with those without pain. Last, associated factors of pain, as well as impact on QoL in Chinese ALS patients, were assessed. Results: A total of 86 ALS patients were included. ALS patients with pain tended to have higher FSS scores and poorer QoL. The FSS score and ALSSS [lower extremity (LE) + upper extremity (UE)] were associated with pain in ALS patients. The ALS Functional Rating Scale-revised (ALSFRS-R), Pain Severity Index (PSI), HARS and HDRS scores were significantly associated with both the physical and psychological domains of QoL. Conclusion: Our study was the first to comprehensively evaluate factors associated with pain in Chinese ALS patients, finding that fatigue can be a risk factor for pain and ALSSS (LE + UE) score was related with pain intensity. Additionally, we identified the adverse effects of ALSSS (LE + UE), HARS and HDRS scores on QoL in Chinese ALS patients.

Effect of shift work on fatigue, reaction time and accuracy of nurses in the Department of Neurology: A cross-sectional observational study.

AIMS: The purpose of our study was mainly to explore the effect of different shift work on cognitive and executive performance in a real clinical environment among nurses from China. BACKGROUND: Working in shifts can disrupt circadian rhythm, resulting in reduced sleep duration, which can have a detrimental effect on cognitive function. To provide continuous service for patient care, shift work is often a special requirement for nurses. The Stroop test can be used to measure selective attention and reaction time during executive function. However, there have been limited studies about the effect of shift work on the cognitive performance of nurses by Stroop tests. Additionally, no study has been conducted in nurses working in shifts from China. METHODS: Registered nurses in general ward, Department of Neurology, from West China Hospital of Sichuan University, were eligible and consecutively included if they were simultaneously responsible for the day, evening and night shifts on the shift work schedule. A fatigue questionnaire and Stroop tests were performed for each subject separately before and after three working shifts (morning, evening and night shift) to measure changes in fatigue, reaction time and accuracy. RESULTS: Eighteen registered nurses (4 males and 14 females) were included in our study, with a median age of 25 years old. The fatigue degree was significantly increased after day and evening shifts (p = .015 and <.001, respectively). Compared with those in the preshifts, the reaction time in the neutral task and incongruent task was significantly quicker after the day shift (p = .001, p < .001) and night shift (p = .008, .019). In contrast, the reaction time after the evening shift was mildly increased, although without significance. There was no significant difference in accuracy among the three different working shifts. In addition, there was a negative correlation between the fatigue score and reaction time on the incongruent task in the Stroop test before the day shift (r = -.542, p = .020). The fatigue score in the postday shift was found to be inversely related to working hours in the daytime (r = -.500, p = .034). CONCLUSIONS: Our study showed that increased fatigue was found in nurses after day and evening shifts, and shift work can affect the reaction time after the evening shift. However, there was no significant difference in accuracy and a high level of attention could be maintained among the three working shifts, suggesting a highly developed sense of responsibility in our nurses. IMPLICATIONS FOR NURSING MANAGEMENT: In addition to focusing on the common adverse effects of evening or night shifts on nurses, fatigue in the day shift should be paid special attention to by the leadership in the nursing management. Also, nurse managers can implement specific strategies to reduce fatigue after the day shift by shortening the working hours in the daytime appropriately, setting rest periods in the day shift or dividing nurses into morning and afternoon shifts.

Fatigue in Chinese Patients With Amyotrophic Lateral Sclerosis: Associated Factors and Impact on Quality of Life.

OBJECTIVES: Fatigue was considered as a common symptom in amyotrophic lateral sclerosis (ALS). Previous studies about the impact of fatigue on Quality of Life (QoL) in patients with ALS were limited and inconsistent. Besides, a systematic investigation of fatigue in Chinese patients with ALS was lacking. Therefore, this study aimed to comprehensively evaluate the frequency and associated factors of fatigue and impact on QoL in Chinese patients with ALS. PARTICIPANTS AND METHODS: Probable and definitive patients with ALS and age- and gender-matched healthy controls (HCs) were consecutively recruited. The frequency of fatigue between both the groups was determined by the Fatigue Severity Scale (FSS). Disease severity, sleep quality, sleepiness, anxiety, depression, and QoL were evaluated in patients with ALS by the ALS Functional Rating Scale-revised (ALSFRS-R) and the ALS Severity Scale (ALSSS), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Hamilton Anxiety Rating Scale (HARS), the Hamilton Depression Rating Scale (HDRS), and the McGill Quality of Life Questionnaire (MQOL). Then, clinical characteristics of patients with ALS with fatigue were compared with those without fatigue. Lastly, associated factors of fatigue and impact on QoL in Chinese patients with ALS were assessed. RESULTS: A total of 175 patients with ALS and 175 HCs were included. Fatigue was significantly more frequent in patients with ALS than in controls (32.6 vs. 17.7%, p = 0.001). Patients with ALS with fatigue scored lower on the ALSFRS-R, the ALSSS [lower extremity (LE) + upper extremity (UE)], the total ALSSS, higher in the HARS, HDRS, PSQI, ESS scores, and a poorer QoL. Daytime dysfunction and the ALSSS (LE + UE) score were associated with a higher risk of fatigue. The ALSSS (LE + UE), the FSS, age, the HARS, and the HDRS score were significantly associated with various aspects of QoL. CONCLUSION: This study has described fatigue in Chinese patients with ALS and finding daytime dysfunction and the lower ALSSS (LE + UE) were associated with a higher risk of fatigue. Also, we identified an inverse relationship of fatigue intensity with the psychological domain of QoL.

Gait Analysis by Causal Decomposition.

Recent studies have investigated bilateral gaits based on the causality analysis of kinetic (or kinematic) signals recorded using both feet. However, these approaches have not considered the influence of their simultaneous causation, which might lead to inaccurate causality inference. Furthermore, the causal interaction of these signals has not been investigated within their frequency domain. Therefore, in this study we attempted to employ a causal-decomposition approach to analyze bilateral gait. The vertical ground reaction force (VGRF) signals of Parkinson's disease (PD) patients and healthy control (HC) individuals were taken as an example to illustrate this method. To achieve this, we used ensemble empirical mode decomposition to decompose the left and right VGRF signals into intrinsic mode functions (IMFs) from the high to low frequency bands. The causal interaction strength (CIS) between each pair of IMFs was then assessed through the use of their instantaneous phase dependency. The results show that the CISes between pairwise IMFs decomposed in the high frequency band of VGRF signals can not only markedly distinguish PD patients from HC individuals, but also found a significant correlation with disease progression, while other pairwise IMFs were not able to produce this. In sum, we found for the first time that the frequency specific causality of bilateral gait may reflect the health status and disease progression of individuals. This finding may help to understand the underlying mechanisms of walking and walking-related diseases, and offer broad applications in the fields of medicine and engineering.