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Background: Falls are frequent in Parkinson's disease (PD), but there is lack of information about predictors of injurious falls. Objectives: To determine predictors of falls with injuries in people with PD; to compare circumstances and consequences of falls in single and recurrent fallers. Methods: Participants (n = 225) were assessed by disease‐specific, self‐report, and balance measures, and followed‐up for 12 months with a diary to record falls, their circumstances, and injuries. Univariate and multivariate analyses were performed. Circumstances and consequences of falls presented by single and recurrent fallers were compared. Results: A total of 805 falls were analyzed, 107 (13%) were falls with injuries. Multivariate logistic regression model revealed that greater PD duration and higher balance confidence were protective factors; better balance during gait, outdoor falls, and falls related to extrinsic factors were risk factors for falls with injuries, when compared to falls with no injuries. Multivariate multinomial regression model revealed that, when compared to zero fall, past falls and daily levodopa equivalent dose were predictors of falls with injuries; these predictors together with disability were predictors of falls with no injuries. Single falls (n = 27; 3%) were more common outdoors because of extrinsic factors, whereas recurrent falls (n = 778; 97%) were more common indoors because of intrinsic factors. Single falls led to more injuries than recurrent falls (P < 0.05). Conclusions: Different predictors of falls with injuries were obtained when different outcomes were compared. It should be noted that falls with injuries might be influenced by fall‐related activities and environmental factors. Single and recurrent falls differed on circumstances and consequences. [ABSTRACT FROM AUTHOR]

Objective: In the diagnosis of HTLV‐1‐associated myelopathy (HAM), while magnetic resonance imaging (MRI) is essential to exclude other diseases, its power is limited regarding HAM diagnosis, as only 30% of affected patients present with spinal cord atrophy. Diffusion tensor imaging (DTI) may enable the detection of damage in the white matter microstructure. Here, we quantitatively assess spinal cord damage using DTI and evaluate conventional MRI parameters of the spinal cord in HTLV‐1‐infected individuals. Methods: This cross‐sectional study involved 33 HTLV‐1 carriers, 28 patients with definite‐HAM, and 11 seronegative healthy subjects (HS). Region‐of‐interest (ROI)‐based fractional anisotropy (FA) and mean diffusivity (MD) measurements were performed in the upper thoracic and lumbar regions of the spinal cord. Thoracic index was defined as 1/ (anteroposterior diameter × transverse diameter) measured at the fifth 5th vertebral level. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cutoff FA, MD, and thoracic index values. Results: Spinal cord atrophy was observed in 15 (53.6%) patients with definite‐HAM. The area under the ROC curve in the thoracic spinal cord was 0.824 (95% CI, 0.716–0.932), 0.839 (95% CI: 0.736–0.942), and 0.838 (95% CI: 0.728–0.949) for FA, MD, and the thoracic index, respectively. Lower FA and higher MD values were observed in the definite‐HAM group compared to HTLV‐1 carriers and HS at the T5 vertebral level (p < 0.01). Interpretation: Complementary to conventional MRI, DTI analysis of the spinal cord and thoracic index determination can offer additional insight that may prove useful in the diagnosis of HAM. [ABSTRACT FROM AUTHOR]

Background and Purpose: Cerebral microinfarcts (CMI) are associated with intracerebral hemorrhage due to small vessel disease (SVD) in studies not including an ischemic etiologic workup. We aimed to determine their incidence and potential causes in a large ischemic stroke (IS) cohort.Methods: Consecutive patients with MRI-confirmed IS within 72 hours of onset were enrolled. Subjects had either single high-risk embolic source (cardioembolic or large vessel disease) or no embolic source. CMIs were classified by their relationship to the primary infarct as within or outside the same vascular territory. White matter hyperintensities (WMH) and microbleeds were markers SVD severity. Multivariable regression tested the association between CMIs and potential etiologies.Results: We analyzed 946 IS patients, mean age 69 ± 15 years, 46% female. We detected CMI (≤5 mm) on diffusion-weighted imaging in 269 (28%) subjects, 190 (71%) within the vascular territory of the primary infarct. Large-vessel atherosclerosis (P <.001), cardioembolic source (P <.001), higher WMH (P = .032) and lower systolic blood pressure (SBP, P = .024) were independently associated with the presence of CMI. While SBP was associated with CMI in any location (P <.05), WMH was only associated with CMI outside the territory of the primary infarct (P = .033), and large vessel atherosclerosis with CMI within the primary infarct territory (P = .004).Conclusions: CMIs occurring within the vascular territory of a larger infarct are more likely embolic, but those occurring outside are probably related to SVD. Our findings suggest a role for SVD in pathogenesis of CMIs and emphasize the importance of etiologic workup to identify alternate etiologies. [ABSTRACT FROM AUTHOR]