Hypotheses Electrocochleography (ECoG) to acoustic stimuli can differentiate relative degrees of cochlear responsiveness across the population of cochlear implant recipients. The magnitude of the ongoing portion of the ECoG, which includes both hair cell and neural contributions, will correlate with speech outcomes as measured by results on CNC word score tests. Background Postoperative speech outcomes with cochlear implants vary from almost no benefit to near normal comprehension. A factor expected to have a high predictive value is the degree of neural survival. However, speech performance with the implant does not correlate with the number and distribution of surviving ganglion cells when measured post-mortem. We will investigate whether ECoG can provide an estimate of cochlear function that helps predict postoperative speech outcomes. Methods An electrode was placed at the ipsilateral round window of the ear about to be implanted during implant surgery. Tone bursts were delivered through an insert earphone. Subjects included children (N=52, 1–18 years) and postlingually hearing impaired adults (N=32). Word scores at six months were available from 21 adult subjects. Results Significant responses to sound were recorded from almost all subjects (80/84 or 95%). The ECoG magnitudes spanned more than 50 dB in both children and adults. The distributions of ECoG magnitudes and frequencies were similar between children and adults. The correlation between the ECoG magnitude and word score accounted for 47% of the variance. Conclusions ECoGs with high signal to noise ratios can be recorded from almost all implant candidates, including both adult and pediatric populations. In post-lingual adults, the ECoG magnitude is more predictive of implant outcomes than other non-surgical variables such as duration of deafness or degree of residual hearing.

The use of the 4-subdomain structure for SNOT-22 (reflecting sleep, nasal, otologic/facial pain, and emotional symptoms of CRS) was validated as the most appropriate to calculate SNOT-22 subdomain scores for patients from different geographic regions using CFA.

ECoG to acoustic stimuli via an intracochlear electrode is feasible in standard cochlear implant recipients. The increased signal can improve the speed and efficiency of data collection. The growth of response magnitudes with deeper intrascalar electrode positions could be explained by closer proximity or favorable geometry with respect to residual apical signal generators. Reductions in magnitude may represent unfavorable geometry or cochlear trauma.

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Objective Periostin is an extracellular matrix protein that is elevated in the sinonasal tissues of patients with chronic rhinosinusitis (CRS). The purpose of this study was to determine whether serum periostin could serve as a molecular biomarker of nasal polyp burden in sinonasal disease. Study Design Prospective cohort study. Setting Academic medical center. Subjects and Methods Serum periostin levels were measured by ELISA on blood samples collected from patients undergoing sinus surgery for CRS (n = 71), further stratified by phenotype as defined by nasal polyps and asthma. Results were compared with assays performed on control subjects (n = 62). Results Mean serum periostin levels were markedly elevated in patients with CRS versus controls (66.1 ng/mL [95% CI, 51.6-80.6] vs 38.7 ng/mL [95% CI, 34.4-42.9], respectively, P = .004). In addition, mean periostin levels were significantly higher in CRS patients with nasal polyps as compared with those without polyps (94.8 ng/mL [95% CI, 67.3-122.4] vs 41.1 ng/mL [95% CI, 35.2-47.0], respectively, P < .001). Periostin levels did not correlate with sex ( P = .473), smoking history ( P = .748), aspirin-exacerbated respiratory disease status ( P = .136), oral steroid use within 1 month of surgery ( P = .281), use of topical steroid nasal spray ( P = .864), or number of prior sinus operations ( P = .973). Conclusion Serum periostin appears to be a novel molecular biomarker for the presence of nasal polyps and may serve as an indicator of CRS endotypes.

Objective: We sought to establish the significance of querying chronic rhinosinusitis (CRS) patients about their past CRS-related oral antibiotic and corticosteroid usage by determining the association between these metrics and patients' quality of life (QoL).Study Design: Cross-sectional study.Methods: A total of 157 patients with CRS were prospectively recruited. CRS-specific QoL was measured using the 22-item Sinonasal Outcome Test . General health-related QoL was measured using the EuroQoL five-dimensional questionnaire visual analog scale. Associations were sought between these measures of QoL and frequency of CRS-related oral antibiotic and corticosteroid usage reported by the participants in the prior 3 and 12 months.Results: More frequent antibiotic and corticosteroid use was significantly associated with worse CRS-specific and general health-related QoL, whether querying medication use over the prior 3 months or over the prior 12 months (P < 0.001 in all cases). The effect size of CRS-related antibiotic use during the prior 3 months on CRS-specific QoL (SNOT-22 score) was significantly greater than for use during the prior 12 months. However, there was no other statistically significant difference in effect size for association between QoL and CRS-related antibiotic or corticosteroid use in the prior 3 months versus prior 12 months. These results were independent of the presence or absence of polyps.Conclusion: More frequent past CRS-related oral antibiotic and corticosteroid use, regardless of time period queried (3 months or 12 months) is associated with significant decrease in CRS-specific and general health-related QoL. CRS-related systemic medication use is an important indicator of CRS patients' QOL that easily can be queried and utilized in both clinical and research settings.

CRS symptom severity is associated with past asthma-related oral corticosteroid use. SNOT-22 scores may be used as a versatile tool to screen for past asthma-related oral corticosteroid use in asthmatic CRS patients - i.e. those at greatest risk from their asthma - with either high sensitivity or high specificity.

In both basic and applied studies, quantification of herbivory on foliage is a key metric in characterizing plant–herbivore interactions, which underpin many ecological, evolutionary and agricultural processes. Current methods of quantifying herbivory are slow or inaccurate. We present LeafByte, a free iOS application for measuring leaf area and herbivory. LeafByte can save data automatically, read and record barcodes, handle both light and dark coloured plant tissue, and be used non‐destructively. We evaluate its accuracy and efficiency relative to existing herbivory assessment tools. LeafByte has the same accuracy as ImageJ, the field standard, but is 50% faster. Other tools, such as BioLeaf and grid quantification, are quick and accurate, but limited in the information they can provide. Visual estimation is quickest, but it only provides a coarse measure of leaf damage and tends to overestimate herbivory. LeafByte is a quick and accurate means of measuring leaf area and herbivory, making it a useful tool for research in fields such as ecology, entomology, agronomy and plant science.