Parkinson's disease (PD) is a common neurological disease in elderly people, and its morbidity and mortality are increasing with the advent of global ageing. The traditional paradigm of moving from small data to big data in biomedical research is shifting toward big data-based identification of small actionable alterations. To highlight the use of big data for precision PD medicine, we review PD big data and informatics for the translation of basic PD research to clinical applications. We emphasize some key findings in clinically actionable changes, such as susceptibility genetic variations for PD risk population screening, biomarkers for the diagnosis and stratification of PD patients, risk factors for PD, and lifestyles for the prevention of PD. The challenges associated with the collection, storage, and modelling of diverse big data for PD precision medicine and healthcare are also summarized. Future perspectives on systems modelling and intelligent medicine for PD monitoring, diagnosis, treatment, and healthcare are discussed in the end.

Objective To investigate the continuous ambulatory peritoneal dialysis ( CAPD) and daytime ambulatory perito-neal dialysis ( DAPD) on sleep quality. Methods This is a multi-center cross-sectional survey, we used the Pittsburgh Sleep Index Scale ( PSQI) ,the unified investigating time, the organized trained peritoneal dialysis nurses qualified to conduct research full-time. Survey content includes general information, sleep index, laboratory tests, dialysis adequacy and other indicators, and the results were pooled analysis. Results A total of eight hospitals of 325 patients undergoing peritoneal dialysis were included in this study,which CAPD patients and DAPD Pittsburgh Sleep Quality Index Scale scores were 6.88 ±2.43,6.71 ±2.69, the difference was not statisti-cally significant (P>0.01).DAPD patients had a lower sleep efficiency than CAPD patients, but it had no difference between subjec-tive feeling, CAPD patients were more likely to have more nocturnal cough, snoring and other symptoms and lower quality of life in mental status scores than DAPD patients(P<0.01). Conclusion Sleep quality of peritoneal dialysis patients scored lower than the norm.Dialysis modes have an impact on sleep quality of patients, health care workers should fully assess the physical and mental state of the patients in order to select the appropriate mode of dialysis.

Objective To investigate the continuous ambulatory peritoneal dialysis (CAPD) and daytime ambulatory peritoneal dialysis (DAPD) on sleep and quality of life. Methods In this is a multi-center cross-sectional survey, we used the Pittsburgh Sleep Index Scale (PSQI) and the Chinese version of peritoneal dialysis patient quality of life scale, the unified investigating time, the organized trained peritoneal dialysis nurses qualified to conduct research full-time. Survey content includes general information, sleep and quality of life, laboratory tests, dialysis adequacy and other indicators, and the results were pooled analysis. Results A total of 325 hospitalized peritoneal dialysis patients were included in the study, including 177 patients in CAPD, 148 patients in DAPD. The total scores of QOL, physical function, physical factors, psychological status, social function and life satisfaction were (72.61± 10.94), (19.44±3.65), (59.69±7.31), (32.65±5.65), (24.82±6.03), (15.42±5.47)and (74.06±13.59), (20.16± 2.95), (58.99 ± 5.86), (34.58 ± 6.17), (25.10 ± 5.01), (15.36 ± 4.28). The score of CAPD in the mental state dimension was significantly lower than that in DAPD patients (t=-3.715, P<0.01). Else, there was no significant difference between the two groups (P> 0.05). Conclusions Sleep and quality of life in peritoneal dialysis patients are lower than normal adults. Dialysis modes have an impact on sleep andquality of life of patients, health care workers should fully assess the physical and mental state of the patients in order to select the appropriate mode of dialysis.