Optical coherence tomography (OCT) is rapidly becoming the method of choice for assessing arterial wall pathology in vivo. Atherosclerotic plaques can be diagnosed with high accuracy, including measurement of the thickness of fibrous caps, enabling an assessment of the risk of rupture. While the OCT image presents morphological information in highly resolved detail, it relies on interpretation of the images by trained readers for the identification of vessel wall components and tissue type. We present a framework to enable systematic and automatic classification of atherosclerotic plaque constituents, based on the optical attenuation coefficient mu(t) of the tissue. OCT images of 65 coronary artery segments in vitro, obtained from 14 vessels harvested at autopsy, are analyzed and correlated with histology. Vessel wall components can be distinguished based on their optical properties: necrotic core and macrophage infiltration exhibit strong attenuation, mu(t)>or=10 mm(-1), while calcific and fibrous tissue have a lower mu(t) approximately 2-5mm(-1). The algorithm is successfully applied to OCT patient data, demonstrating that the analysis can be used in a clinical setting and assist diagnostics of vessel wall pathology.

Objectives: Previous findings of longitudinal cohort studies indicate that acceleration in age-related hearing decline may occur. Five-year follow-up data of the Netherlands Longitudinal Study on Hearing (NL-SH) showed that around the age of 50 years, the decline in speech recognition in noise accelerates compared with the change in hearing in younger participants. Other longitudinal studies confirm an accelerated loss in speech recognition in noise but mostly use older age groups as a reference. In the present study, we determined the change in speech recognition in noise over a period of 10 years in participants aged 18 to 70 years at baseline. We additionally investigated the effects of age, sex, educational level, history of tobacco smoking, and alcohol use on the decline of speech recognition in noise. Design: Baseline (T0), 5-year (T1), and 10-year (T2) follow-up data of the NL-SH collected until May 2017 were included. The NL-SH is a web-based prospective cohort study which started in 2006. Central to the NL-SH is the National Hearing test (NHT) which was administered to the participants at all three measurement rounds. The NHT uses three-digit sequences which are presented in a background of stationary noise. The listener is asked to enter the digits using the computer keyboard. The outcome of the NHT is the speech reception threshold in noise (SRT) (i.e., the signal to noise ratio where a listener recognizes 50% of the digit triplets correctly). In addition to the NHT, participants completed online questionnaires on demographic, lifestyle, and health-related characteristics at T0, T1, and T2. A linear mixed model was used for the analysis of longitudinal changes in SRT. Results: Data of 1349 participants were included. At the start of the study, the mean age of the participants was 45 years (SD 13 years) and 61% of the participants were categorized as having good hearing ability in noise. SRTs significantly increased (worsened) over 10 years (p < 0.001). After adjustment for age, sex, and a history of tobacco smoking, the mean decline over 10 years was 0.89 dB signal to noise ratio. The decline in speech recognition in noise was significantly larger in groups aged 51 to 60 and 61 to 70 years compared with younger age groups (18 to 30, 31 to 40, and 41 to 50 years) (p < 0.001). Speech recognition in noise in participants with a history of smoking declined significantly faster during the 10-year follow-up interval (p = 0.003). Sex, educational level, and alcohol use did not appear to influence the decline of speech recognition in noise. Conclusions: This study indicated that speech recognition in noise declines significantly over a 10-year follow-up period in adults aged 18 to 70 years at baseline. It is the first longitudinal study with a 10-year follow-up to reveal that the increased rate of decline in speech recognition ability in noise already starts at the age of 50 years. Having a history of tobacco smoking increases the decline of speech recognition in noise. Hearing health care professionals should be aware of an accelerated decline of speech recognition in noise in adults aged 50 years and over.

Hearing impairment may lead to an increased need to recover from fatigue and distress after a day of work. Also, hearing impairment may negatively affect the balance between workload and control over it (job demand and job control). The uptake of hearing solutions may have a positive effect on these outcomes. We aimed to assess the longitudinal relationship between change in speech recognition in noise and changes in need for recovery after work and job demand and job control, and the influence of hearing solutions on these relationships over a period of 5 years. Research questions (RQs) were as follows: (1) Is a 5-year change in speech recognition in noise associated with a change in need for recovery after work over that same 5-year period?; (2) Is a 5-year change in speech recognition in noise associated with a change in job demand and job control over that same 5-year period?; (3) What is the effect of hearing solution uptake in the 5-year period on the change in these outcomes in that same 5-year period?Method: Data of the Netherlands Longitudinal Study on Hearing, collected between 2006 and January 2019, were divided into two 5-year follow-up intervals: T0 (baseline) to T1 (5-year follow-up) and T1 (5-year follow-up) to T2 (10-year follow-up). An online digit-triplet in noise test was used to assess speech recognition in noise. Online questionnaires on demographic, socioeconomic, and work-related characteristics were administered. For RQ1-RQ2, the study sample included adults working ≥12 hours per week, with at least two consecutive measurements (n = 783). For RQ3, employees who had not yet obtained hearing solutions at baseline, but who would be eligible based on a speech reception threshold in noise ≥ -5.5 dB signal-to-noise ratio (SNR), were included (n = 147). Longitudinal linear regression analyses using mixed models were performed to assess RQ1-RQ3.Results: After adjusting for baseline values, 5-year change in speech recognition in noise showed a statistically significant association with 5-year change in need for recovery. A worsening of 1 dB SNR in speech recognition in noise in an individual was associated with an increase of 0.72 units in need for recovery (scale range 0 to 100). A 5-year change in speech recognition in noise was not significantly associated with a 5-year change in job demand or job control. The uptake of hearing solutions in the 5-year period did not have a significant effect on change in need for recovery in that same 5-year period. Conclusion:The significant longitudinal association between 5-year worsening in speech recognition in noise and increase in need for recovery over the same time period strengthens the evidence for the importance of early detection of a worsening in speech recognition in noise to identify employees with an increase in need for recovery. The absence of an effect of the uptake of a hearing solution on need for recovery indicates that additional alternative interventions may be needed to foster beneficial use of hearing solutions as well as to mitigate t...

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