15 research outputs found

    Self-Collected Mid-Turbinate Swabs for the Detection of Respiratory Viruses in Adults with Acute Respiratory Illnesses

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    BACKGROUND: The gold standard for respiratory virus testing is a nasopharyngeal (NP) swab, which is collected by a healthcare worker. Midturbinate (MT) swabs are an alternative due to their ease of collection and possible self-collection by patients. The objective of this study was to compare the respiratory virus isolation of flocked MT swabs compared to flocked NP swabs. METHODS: Beginning in October 2008, healthy adults aged 18 to 69 years were recruited into a cohort and followed up for symptoms of influenza. They were asked to have NP and MT swabs taken as soon as possible after the onset of a fever or two or more respiratory symptoms with an acute onset. The swabs were tested for viral respiratory infections using Seeplex® RV12 multiplex PCR detection kit. Seventy six pairs of simultaneous NP and MT swabs were collected from 38 symptomatic subjects. Twenty nine (38%) of these pairs were positive by either NP or MT swabs or both. Sixty nine (91%) of the pair results were concordant. Two samples (3%) for hCV OC43/HKU1 and 1 sample (1%) for rhinovirus A/B were positive by NP but negative by MT. One sample each for hCV 229E/NL63, hCV OC43/HKU1, respiratory syncytial virus A, and influenza B were positive by MT but negative by NP. CONCLUSIONS: Flocked MT swabs are sensitive for the diagnosis of multiple respiratory viruses. Given the ease of MT collection and similar results between the two swabs, it is likely that MT swabs should be the preferred method of respiratory cell collection for outpatient studies. In light of this data, larger studies should be performed to ensure that this still holds true and data should also be collected on the patient preference of collection methods

    Imputing accelerometer nonwear time in children influences estimates of sedentary time and its associations with cardiometabolic risk

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    Abstract Background A limitation of measuring sedentary time with an accelerometer is device removal. The resulting nonwear time is typically deleted from the data prior to calculating sedentary time. This could impact estimates of sedentary time and its associations with health indicators. We evaluated whether using multiple imputation to replace nonwear accelerometer epochs influences such estimates in children. Methods 452 children (50% male) aged 10–13 were tasked with wearing an accelerometer (15 s epochs) for 7 days. On average, 8% of waking time was classified as nonwear time. Sedentary time was derived from a “nonimputed” dataset using the typical approach of deleting epochs that occurred during nonwear time, as well as from an “imputed” dataset. In the imputed dataset, each nonwear epoch was re-classified as being as sedentary or not using multiple imputation (5 iterations) which was informed by the likelihood of a wear time epoch being classified as sedentary or not using parameter estimates from a logistic regression model. Estimates of sedentary time and associations between sedentary time and health indicators (cardiometabolic risk factor and internalizing mental health symptoms Z-scores) were compared between the nonimputed and imputed datasets. Results On average, sedentary time was 33 min/day higher in the imputed dataset than in the nonimputed dataset (632 vs. 599 min/day). The association between sedentary time and the cardiometabolic risk factor Z-score was stronger in the imputed vs. the nonimputed dataset (β = 0.137 vs. β = 0.092 per 60 min/day change, respectively). These findings were more pronounced among children who had < 7 days with ≥10 h of wear time. Conclusion Researchers should consider using multiple imputation to address accelerometer nonwear time, rather than deleting it, in order to derive more unbiased estimates of sedentary time and its associations with health indicators

    Rectal screening displays high negative predictive value for bloodstream infection with (ESBL-producing) Gram-negative bacteria in neonates with suspected sepsis in a low-resource setting neonatal care unit

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    Objectives We analysed the concordance of rectal swab isolates and blood culture for Gram-negative bacteria (GNB) isolates in neonates with a suspicion of neonatal sepsis admitted to a neonatal care unit in Haiti. Methods We matched pairs of blood and rectal samples taken on the date of suspected sepsis onset in the same neonate. We calculated the proportion of rectal isolates in concordance with the blood isolates by species and genus. We calculated the negative predictive value (NPV) for GNB and extended-spectrum β-lactamase (ESBL)-producing GNB for all rectal and blood isolate pairs in neonates with suspected sepsis. Results We identified 238 blood and rectal samples pairs, with 238 blood isolate results and 309 rectal isolate results. The overall concordance in genus and species between blood and rectal isolates was 22.3% [95% confidence interval (CI) 17.4–28.0%] and 20.6% (95% CI 16.0–26.2%), respectively. The highest concordance between blood and rectal isolates was observed for samples with no bacterial growth (65%), followed byKlebsiella pneumoniae (18%) and Klebsiella oxytoca (12%). The NPV of detecting GNB bacterial isolates in rectal samples compared with those in blood samples was 81.6% and the NPV for ESBL-positive GNB was 92.6%. Conclusions The NPV of rectal swab GNB isolates was high in all patient groups and was even higher for ESBL-positive GNB. Clinicians can use the results from rectal swabs when taken simultaneously with blood samples during outbreaks to inform the (de-)escalation of antibiotic therapy in those neonates that have an ongoing sepsis profile

    Sensitivity and negative predictive value of mid-turbinate swabs and nasopharyngeal swabs compared to combined results for the diagnosis of viral infection in adults with acute respiratory illness.

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    <p>Foot note: CI: confidence interval, hCoV: human coronavirus, MT: mid-turbinate, NP: nasopharyngeal, RSV: respiratory syncytial virus.</p>1<p>Not adjusted for dependence between observations (some swab pairings were from same subjects but collected at subsequent illness episodes).</p
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