Virtual pulmonary rehabilitation approaches in patients with post COVID syndrome: a pilot study.

BACKGROUND: The characteristics of optimal virtual pulmonary rehabilitation (PR) for individuals with post-COVID syndrome (PCS) have not been identified. This study aimed to assess the feasibility, safety, and satisfaction associated with a virtual PR program with the exercise component delivered through group or self-directed sessions. METHODS: Adults with PCS-respiratory symptoms were randomly assigned to the video conference (PRVC) or self-directed (PRSD) group and completed an exercise program (aerobic, strengthening, and breathing exercises) three times/week for eight weeks. PRVC sessions were led by a physiotherapist via Zoom, whereas the PRSD group exercised individually following a pre-recorded video. Both groups received personalized exercise recommendations, education related to the condition, and a weekly follow up call. Satisfaction was assessed through a patient survey. Lung function, dyspnea, fatigue, sit-to-stand capacity, health-related quality of life, and participation were assessed pre- and post-PR. RESULTS: Fourteen PCS individuals (49 ± 9 years, 86% females) completed 83% of the sessions. All participants were satisfied with information provided by the therapist and frequency of data submission, whereas most were satisfied with the frequency and duration of exercise sessions (88% in PRVC and 83% in PRSD). A higher proportion of participants in the PRVC (88%) were satisfied with the level of difficulty of exercises compared with the PRSD (67%), and 84% of the sample reported a positive impact of the program on their health. No adverse events were reported. Significant changes in sit-to-stand capacity (p = 0.012, Cohen's r = 0.67) and questions related to fatigue (p = 0.027, Cohen's r = 0.58), neurocognitive (p = 0.045, Cohen's r = 0.53), and autonomic (p = 0.024, Cohen's r = 0.60) domains of the DePaul Symptom Questionnaire short-form were also found between groups. CONCLUSION: Virtual PR with exercises delivered via video conference or pre-recorded video were feasible, safe, and well-received by individuals with PCS. TRIAL REGISTRATION: NCT05003271 (first posted: 12/08/2021).

Distribution of Bemisia tabaci (Hemiptera: Aleyrodidae) biotypes in Florida-investigating the Q invasion.

After the 2004 discovery of the Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Q biotype in the United States, there was an urgent need to determine its distribution. As part of a coordinated country-wide effort, an extensive survey of B. tabaci biotypes was conducted in Florida, with the cooperation of growers and state and federal agencies, to monitor the introduction and distribution of both the B and Q biotypes. The biotype status of submitted B. tabaci samples was determined by polymerase chain reaction (PCR) amplification and sequencing of a 700-800-bp mitochondrial cytochrome oxidase I small subunit (mtCOI) gene fragment, PCR amplification, and size determination of two unique microsatellite markers and esterase zymogram analysis. One hundred and eighty collections were sampled from 23 counties. Of these samples, 58% were from vegetables, 37% were from ornamentals, and 5% were from peanuts, alfalfa, and weeds. Eighteen percent of all collections were found to be the Q biotype that came from greenhouse grown ornamental and herbs located in six counties. Sequence comparison of the mtCOI gene identified three separate haplotypes within Florida that were defined as Q1, Q2, and Q3. Haplotypes could be used to associate populations known to be related by grower and plant type. For example, collections from five counties were made on hibiscus linked to the same grower and all samples contained only the Q1 haplotype. Other populations contained a mix of the Q2 and Q3 haplotypes, supporting the conclusion that the Q biotype must have entered Florida through at least two separate introductions. Our data also show that two microsatellite markers are a cost-effective diagnostic alternative for biotype identification with 100% concurrence with mtCOI sequence data.