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Objectives: Characterise inhalational exposures during deployment to Afghanistan and Southwest Asia and associations with postdeployment respiratory symptoms., Methods: Participants (n=1960) in this cross-sectional study of US Veterans (Veterans Affairs Cooperative Study 'Service and Health Among Deployed Veterans') completed an interviewer-administered questionnaire regarding 32 deployment exposures, grouped a priori into six categories: burn pit smoke; other combustion sources; engine exhaust; mechanical and desert dusts; toxicants; and military job-related vapours gas, dusts or fumes (VGDF). Responses were scored ordinally (0, 1, 2) according to exposure frequency. Factor analysis supported item reduction and category consolidation yielding 28 exposure items in 5 categories. Generalised linear models with a logit link tested associations with symptoms (by respiratory health questionnaire) adjusting for other covariates. OR were scaled per 20-point score increment (normalised maximum=100)., Results: The cohort mean age was 40.7 years with a median deployment duration of 11.7 months. Heavy exposures to multiple inhalational exposures were commonly reported, including burn pit smoke (72.7%) and VGDF (72.0%). The prevalence of dyspnoea, chronic bronchitis and wheeze in the past 12 months was 7.3%, 8.2% and 15.6%, respectively. Burn pit smoke exposure was associated with dyspnoea (OR 1.22; 95% CI 1.06 to 1.47) and chronic bronchitis (OR 1.22; 95% CI 1.13 to 1.44). Exposure to VGDF was associated with dyspnoea (OR 1.29; 95% CI 1.14 to 1.58) and wheeze (OR 1.18; 95% CI 1.02 to 1.35)., Conclusion: Exposures to burn pit smoke and military occupational VGDF during deployment were associated with an increased odds of chronic respiratory symptoms among US Veterans., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Study Objectives: Our 2019 survey of sleep medicine fellowship program directors (PDs) indicated that fellows' contact with telemedicine was limited. Within months, the coronavirus disease 2019 (COVID-19) pandemic significantly impacted the field. This survey describes fellows' telemedicine exposure, their PDs' attitudes toward it, and their formalized telemedicine training during the pandemic's third year., Methods: A 33-item SurveyMonkey questionnaire was developed. Many quantitative (Likert scale) items were identical to items on the 2019 survey for direct comparison. An open-ended question was added for qualitative analyses. All 91 sleep medicine fellowship PDs were invited to participate. The SurveyMonkey platform provided quantitative item descriptive statistics. Qualitative data underwent thematic analyses using codebook methodology., Results: Forty (97.5%) PDs indicated their program offers a telemedicine experience. Thirty-two (80%) PDs observed at least a 10% increase in sleep fellows' telemedicine encounters compared with prepandemic times. Although 27 (67.5%) PDs agreed that a national telemedicine curriculum could be useful, 8 (20%) of them offer a sleep telemedicine curriculum. Qualitative feedback revealed diverging attitudes toward telemedicine's place in sleep medicine practice, fellowship training, and the utility of a national curriculum., Conclusions: Sleep telemedicine utilization during fellowship training was markedly higher on this 2022 survey (97.5%) compared with a similar 2019 survey (33.3%), and most PDs agreed a standardized curriculum could be useful. However, relatively few programs offer formalized telemedicine training. These findings imply that, while most sleep medicine fellows participate in telemedicine, they lack the formalized training that may optimize their utilization of the medium in their postfellowship careers., Citation: Fields BG, Kaur K, Dholakia S, Ioachimescu O. The COVID-19 pandemic's impact on sleep medicine fellowship telemedicine training: a follow-up survey of program directors. J Clin Sleep Med . 2024;20(2):201-210., (© 2024 American Academy of Sleep Medicine.)

Purpose: Most continuous positive airway pressure (CPAP) machines have built-in manufacturer-specific proprietary algorithms for automatic respiratory event detection (AED) based on very specific respiratory events scoring criteria. With regards to the accuracy of these data from CPAP machines, evidence from the literature seems conflicting, which formed the basis for this meta-analysis., Methods: A meta-analysis was performed on studies that reported Bland-Altman analysis data on agreement (mean bias and limits of agreement [LoA]) of CPAP-determined apnea-hypopnea index (AHI) at therapeutic pressures (AHI FLOW ) with that determined from simultaneously conducted polysomnograms (AHI PSG )., Results: In six studies, ResMed CPAPs were used, and in another six studies, Respironics CPAPs were used, while only one study used Fisher & Paykel (F&P) CPAPs. The pooled mean AHI bias from ResMed CPAP studies was - 1.01 with pooled LoAs from - 3.55 to 1.54 (I 2  = 17.5%), and from Respironics CPAP studies, pooled mean AHI bias was - 0.59 with pooled LoAs from - 3.22 to 2.05 (I 2  = 0%). Pooled percentage errors (corresponding to LoAs) from four ResMed CPAP studies, four Respironics CPAP studies, and the F&P CPAP study were 73%, 59%, and 112%, respectively. A review of the literature for this meta-analysis also revealed lack of uniformity not only in the CPAP manufacturers' respiratory events scoring criteria but also in that used for PSGs across the studies analyzed., Conclusions: Even though the pooled results of mean AHI bias suggest good clinical agreement between AHI PSG and AHI FLOW , percentage errors calculated in this meta-analysis indicate the possibility of a significant degree of imprecision in the estimation of AHI FLOW by CPAP machines., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)