BackgroundThere is consensus that Heart Rate Variability is associated with the risk of vascular events. However, Heart Rate Variability predictive value for vascular events is not completely clear. The aim of this study is to develop novel predictive models based on data-mining algorithms to provide an automatic risk stratification tool for hypertensive patients.MethodsA database of 139 Holter recordings with clinical data of hypertensive patients followed up for at least 12 months were collected ad hoc. Subjects who experienced a vascular event (i.e., myocardial infarction, stroke, syncopal event) were considered as high-risk subjects. Several data-mining algorithms (such as support vector machine, tree-based classifier, artificial neural network) were used to develop automatic classifiers and their accuracy was tested by assessing the receiver-operator characteristics curve. Moreover, we tested the echographic parameters, which have been showed as powerful predictors of future vascular events.ResultsThe best predictive model was based on random forest and enabled to identify high-risk hypertensive patients with sensitivity and specificity rates of 71.4% and 87.8%, respectively. The Heart Rate Variability based classifier showed higher predictive values than the conventional echographic parameters, which are considered as significant cardiovascular risk factors.ConclusionsCombination of Heart Rate Variability measures, analyzed with data-mining algorithm, could be a reliable tool for identifying hypertensive patients at high risk to develop future vascular events.

Purpose to evaluate disease progression in a cohort of patients with clinical and genetic diagnosis of Stargardt disease. Design longitudinal cohort study. Subjects 56 selected patients with a clinical and molecular diagnosis of Stargardt disease, an early age of onset and a median follow-up length of two years. Methods patients underwent routine examination including full-field electroretinography, microperimetry and optical coherence tomography. Main Outcome Measures best corrected visual acuity, mean retinal sensitivity, fixation stability, preferred retinal locus, inner-outer segment (IS/OS) junction loss, atrophic lesion area. Results 56 patients with a mean age of disease onset of 15.3 years (range: 3 - 28 years), a mean disease length of 12.1 years and a mean age at baseline of 27.4 years were analyzed. The median best corrected visual acuity was 20/200 in both eyes. Optical coherence tomography parameters (IS/OS alteration and retinal pigment epithelium lesion area) were obtained in 49 patients because signal quality was poor in the remaining 7 patients. Optical coherence tomography revealed a mean retinal pigment epithelium lesion area of 2.6 mm2, preserved foveal IS/OS in 4.1% of patients, loss of foveal IS/OS in 59.2%, and extensive loss of macular IS/OS in 36.7%. Microperimetric findings showed a reduced macular sensitivity (mean 10 dB) and an unstable fixation in half of the patient cohort. The longitudinal analysis showed a significant progressive reduction of best corrected visual acuity and macular sensitivity (at an estimated rate of 0.04 decimals and 1.19 dB per year, respectively) associated with a significant enlargement of retinal pigment epithelium lesion area (0.282 mm2 per year). No significant changes in ophthalmoscopic findings and electroretinographic responses were detected. Conclusions this study highlights the importance of microperimetry and optical coherence tomography in monitoring Stargardt patients. In fact, quantifying the decline of visual functionality and detecting morphological macular changes proves useful to evaluate disease progression over a short-term follow-up and should be taken into account for the design of future gene therapy clinical trials to treat retinal dystrophy.

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IMPORTANCE: There is limited published data on the phenotype of retinitis pigmentosa (RP) related to CNGB1 variants. These data are needed both for prognostic counseling of patients and for understanding potential treatment windows. OBJECTIVE: To describe the detailed clinical and molecular genetic findings in a series of RP patients with likely pathogenic variants in CNGB1. DESIGN, SETTING AND PARTICIPANTS: Ten patients from nine families underwent full ophthalmologic examination. Molecular investigations included whole exome analysis in 6 patients.