ImportanceSome individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID).ObjectiveTo estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration.Design, Setting, and ParticipantsBayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022.ExposuresSymptomatic SARS-CoV-2 infection.Main Outcomes and MeasuresProportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age.ResultsA total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months.Conclusions and RelevanceThis study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.

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Background: Fraction of exhaled nitric oxide (FENO) and blood eosinophil count (B-Eos) values, markers of local and systemic eosinophilic inflammation, respectively, are increased in asthmatic patients. Little is known about the relation of these markers to reported wheeze and asthma events in a random population sample. Objectives: We sought to determine the individual and independent values of B-Eos and FENO in relation to wheeze, asthma diagnosis, and asthma events in a cross-sectional study. 3 ) values rendered an adjusted odds ratio of 4.5 of having wheeze, 5.1 of having asthma, 5.4 for asthma attacks, and 2.9 for asthma-related ED visits compared with normal FENO (<25 ppb) and B-Eos (<300 cells/mm

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Scientific Knowledge on the Subject: Despite observational studies suggesting that COPD exacerbation can be detected using a combination of symptoms and physiological measures, such as pulse and oxygen saturation, larger randomized controlled trials have not shown any effect of telemonitoring on time to first hospital admission (TTFH), hospitalization and quality of life. Tested tele-monitoring programs had a negligible impact on healthcare costs, and, in some cases, resulted in an increased healthcare utilisation. What This Study Adds to the Field:This randomized controlled trial of 312 COPD patients is the first using only objective lung function data measured daily by the forced oscillation technique to prompt early intervention. Despite being feasible and well accepted by patients, this approach did not affect TTFH and quality of life. However, it significantly reduced healthcare costs, mostly due to a reduction in duration and frequency of subsequent hospitalisations, which was greatest in patients hospitalised the year before recruitment.This article has an online data supplement, which is accessible from this issue's table of content online at www.atsjournals.org 3 AbstractRationale Early detection of COPD exacerbations using tele-monitoring of physiological variables might reduce the frequency of hospitalisation.Objectives To evaluate the efficacy of home monitoring of lung mechanics by the forced oscillation technique (FOT) and cardiac parameters in older COPD patients with co-morbidities.Methods This multicentre, randomized clinical trial recruited 312 GOLD grade II-IV COPD patients (median age 71 years [IQR:66-76], 49.6% grade II, 50.4% grade III-IV), with a history of exacerbation in the previous year and at least one non-pulmonary co-morbidity. Patients were randomised to usual care (n=158) or tele-monitoring (n=154) and followed for 9 months. All telemonitoring patients self-assessed lung mechanics daily and in a subgroup with congestive heart failure (n=37) cardiac parameters were monitored. An algorithm identified deterioration, triggering a telephone contact to determine appropriate interventions. Measurements and Main resultsPrimary outcomes were time to first hospitalisation (TTFH) and change in EQ-5D utility index score. Secondary outcomes included: rate of antibiotic/corticosteroid prescriptions, hospitalisation, CAT, PHQ-9 and MLHF questionnaire scores, quality-adjusted life years and healthcare costs. Tele-monitoring did not affect TTFH, EQ-5D utility index score, antibiotic prescriptions, hospitalization rate and questionnaire scores. Tele-medicine was associated with fewer repeat hospitalizations (-54%, p=0.017). Previously hospitalised patients showed the greatest reduction in hospitalization rate (-53%, p=0.017) with large potential for cost savings (-3736€/patient/year, p=0.010). ConclusionsIn older COPD patients with co-morbidities remote monitoring of lung function by FOT and cardiac parameters did not change TTFH and EQ-5D. However patients at risk of hospitalisation may benefit fr...