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Objective: To estimate the prevalence of chronic neck pain (CNP) among the adult population in Peru during the post-coronavirus disease 2019 (COVID-19) restriction period compared with that during the pre-pandemic period and evaluate its association with prolonged digital devices connected to the internet (DDCI) screen viewing. Methods: We conducted a cross-sectional study using a representative sample of adults living in Peru in November 2022. A structured survey was employed to identify CNP, and the exposure variable was set as the duration of DDCI screen viewing. The McNemar test was used to compare CNP prevalence pre- and post-COVID-19 restrictions, and ordinal logistic regression was used to evaluate its association with prolonged screen viewing. Results: A total of 1,202 individuals participated, with 52.8% females and 79.9% residing in urban areas. Following the restrictions, the prevalence of CNP occurring daily or almost daily and at least once a week was 14.8% and 27.8%, respectively (95% confidence Interval [95% CI], 12.6–17.3 and 24.9–30.9), representing a significant increase (p<0.001) compared with pre-pandemic estimates. Notably, among those viewing DDCI screens for ≥8 hours, the odds ratio for CNP frequency escalation compared with those who did not or rarely view screens was 1.61 (95% CI, 1.04–2.50; p=0.033). Conclusion: Approximately 4 of 10 adults in Peru experienced CNP following the lifting of COVID-19 social restrictions, more than double the pre-pandemic prevalence. Furthermore, prolonged viewing of DDCI screens increased the risk of having this condition. [ABSTRACT FROM AUTHOR]

Background: In ARDS caused by COVID-19 pneumonia, appropriate adjustment of physiologic parameters based on lung stretch or oxygenation may optimize the ventilatory strategy. This study aims to describe the prognostic performance on 60-d mortality of single and composite respiratory variables in subjects with COVID-19 ARDS who are on mechanical ventilation with a lung-protective strategy, including the oxygenation stretch index combining oxygenation and driving pressure (ΔP). Methods: This single-center observational cohort study enrolled 166 subjects on mechanical ventilation and diagnosed with COVID-19 ARDS. We evaluated their clinical and physiologic characteristics. The primary study outcome was 60-d mortality. Prognostic factors were evaluated through receiver operating characteristic analysis, Cox proportional hazards regression model, and Kaplan-Meier survival curves. Results: Mortality at day 60 was 18.1%, and hospital mortality was 22.9%. Oxygenation, ΔP, and composite variables were tested: oxygenation stretch index ([Formula: see text]/[Formula: see text] divided by ΔP) and ΔP x 4 + breathing frequency (f) (ΔP x 4 + f). At both day 1 and day 2 after inclusion, the oxygenation stretch index had the best area under the receiver operating characteristic curve (oxygenation stretch index on day 1 0.76 (95% CI 0.67-0.84) and on day 2 0.83 (95% CI 0.76-0.91) to predict 60-d mortality, although without significant difference from other indexes. In multivariable Cox regression, ΔP, [Formula: see text]/[Formula: see text], ΔP x 4 + f, and oxygenation stretch index were all associated with 60-d mortality. When dichotomizing the variables, ΔP ≥ 14, [Formula: see text]/[Formula: see text] ≤ 152 mm Hg, ΔP x 4 + f ≥ 80, and oxygenation stretch index < 7.7 showed lower 60-d survival probability. At day 2, after optimization of ventilatory settings, the subjects who persisted with the worse cutoff values for the oxygenation stretch index showed a lower probability of survival at 60 d compared with day 1; this was not the case for other parameters. Conclusions: The oxygenation stretch index, which combines [Formula: see text]/[Formula: see text] and ΔP, is associated with mortality and may be useful to predict clinical outcomes in COVID-19 ARDS. [ABSTRACT FROM AUTHOR]