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Search: WFRF:(Alizadeh AA)

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  • Gerkin, RC, et al. (author)
  • The best COVID-19 predictor is recent smell loss: a cross-sectional study
  • 2020
  • In: medRxiv : the preprint server for health sciences. - : Cold Spring Harbor Laboratory.
  • Journal article (other academic/artistic)abstract
    • BackgroundCOVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19.MethodsThis preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery.ResultsBoth C19+ and C19-groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ∼50% of participants and was best predicted by time since illness onset.ConclusionsAs smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4<OR<10), which can be deployed when viral lab tests are impractical or unavailable.
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  • Gomez, A, et al. (author)
  • Near Infrared Spectroscopy for High-Temporal Resolution Cerebral Physiome Characterization in TBI: A Narrative Review of Techniques, Applications, and Future Directions
  • 2021
  • In: Frontiers in pharmacology. - : Frontiers Media SA. - 1663-9812. ; 12, s. 719501-
  • Journal article (peer-reviewed)abstract
    • Multimodal monitoring has been gaining traction in the critical care of patients following traumatic brain injury (TBI). Through providing a deeper understanding of the individual patient’s comprehensive physiologic state, or “physiome,” following injury, these methods hold the promise of improving personalized care and advancing precision medicine. One of the modalities being explored in TBI care is near-infrared spectroscopy (NIRS), given it’s non-invasive nature and ability to interrogate microvascular and tissue oxygen metabolism. In this narrative review, we begin by discussing the principles of NIRS technology, including spatially, frequency, and time-resolved variants. Subsequently, the applications of NIRS in various phases of clinical care following TBI are explored. These applications include the pre-hospital, intraoperative, neurocritical care, and outpatient/rehabilitation setting. The utility of NIRS to predict functional outcomes and evaluate dysfunctional cerebrovascular reactivity is also discussed. Finally, future applications and potential advancements in NIRS-based physiologic monitoring of TBI patients are presented, with a description of the potential integration with other omics biomarkers.
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  • Result 1-24 of 24
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journal article (23)
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other academic/artistic (3)
Author/Editor
Fischer, F (14)
Kassebaum, NJ (14)
Majeed, A (14)
Rawaf, S (14)
Samy, AM (14)
Sartorius, B (14)
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Shaikh, MA (14)
Temsah, MH (14)
Yonemoto, N (14)
Afshin, A (13)
Alam, K (13)
Bedi, N (13)
Butt, ZA (13)
Hamadeh, RR (13)
Hamidi, S (13)
Hay, SI (13)
Jonas, JB (13)
Khan, EA (13)
Lunevicius, R (13)
Malekzadeh, R (13)
Memish, ZA (13)
Mokdad, AH (13)
Moradi-Lakeh, M (13)
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Vos, T (13)
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Larson, HJ (11)
Abd El Razek, MM (11)
Mendoza, W (11)
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