Possible predictors of phenoconversion in isolated REM sleep behaviour disorder: a systematic review and meta-analysis

Background A number of promising biomarkers for predicting imminent alpha-synucleinopathies have been suggested in isolated rapid eye movement sleep behaviour disorder (iRBD). However, existing evidence is conflicting without quantitative evaluation. Methods PubMed, Web of Science and ClinicalTrials.gov were searched through June 2021 to identify possible predictors of phenoconversion from iRBD to Parkinson's disease (PD). The pooled HRs and standardised mean differences (SMDs) with 95% CIs were calculated using fixed-effects or random-effects model. Results A total of 123 studies were included in the meta-analysis. Significant motor dysfunction (HR 1.83, 95% CI 1.33 to 2.51, I-2=86.8%, p<0.001), constipation (HR 1.52, 95% CI 1.26 to 1.84, I-2=8.3%, p=0.365), orthostatic hypotension (HR 1.93, 95% CI 1.05 to 3.53, I-2=54.9%, p=0.084), hyposmia (HR 2.78, 95% CI 1.83 to 4.23, I-2=23.9%, p=0.255), mild cognitive impairment (HR 2.27, 95% CI 1.58 to 3.27, I-2=0%, p=0.681) and abnormal colour vision (SMD -0.34, 95% CI -0.63 to -0.05, I-2=45.6%, p=0.087) correlated with susceptibility to PD. The process can also be traced by putaminal dopamine transporter imaging (HR 2.60, 95% CI 1.94 to 3.48, I-2=0%, p=0.781) and tonic electromyographic activity (HR 1.50, 95% CI 1.04 to 2.15, I-2=70%, p=0.018). Conclusions The predictive value of each biomarker was initially highlighted with comprehensive evaluation. Combining specific predictors with high sensitivity is promising for detecting phenoconversion in the prodromal stage. Large-scale and multicentre studies are pivotal to extend our findings.

Automated summary

A comprehensive review of 123 studies identified that significant motor dysfunction, constipation, orthostatic hypotension, hyposmia, mild cognitive impairment, and abnormal colour vision in iRBD patients were correlated with susceptibility to PD. Putaminal dopamine transporter imaging and tonic electromyographic activity can also aid in tracing the disease progression.