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Remote risk-stratification of dyspnoea in acute respiratory disorders: a systematic review of the literature.
Ponnapalli, Anuradha; Khare, Yuti; Dominic, Catherine; Ganesh, Shivani; Bhalla, Gaurav; Gokani, Shyam Ajay.
  • Ponnapalli A; University of Manchester, Manchester, UK.
  • Khare Y; St George's University of London, London. UK.
  • Dominic C; Barts and the London School of Medicine, London, UK.
  • Ganesh S; Barts and the London School of Medicine, London, UK.
  • Bhalla G; Barts and the London School of Medicine, London, UK.
  • Gokani SA; Research Department of Primary Care and Population Health, University College London, London, NW3 2PF, UK, Email: s.gokani@ucl.ac.uk.
J R Coll Physicians Edinb ; 51(3): 221-229, 2021 09.
Article in English | MEDLINE | ID: covidwho-1431029
ABSTRACT

BACKGROUND:

Telephone and video-based triage of dyspnoea has become commonplace and clinicians are faced with a new challenge in risk stratification of patients with dyspnoea due to suspected COVID-19. This review aimed to identify existing remote assessment modalities for acute dyspnoea which can be applied during pandemics.

METHODS:

We conducted a systematic search of Medline, Embase, the Cochrane Library and medRxiv for studies of remote assessment of dyspnoea [PROSPERO ID CRD42020202292]. A total of 3014 abstracts were screened independently by two reviewers and 32 studies were progressed to full text screening.

RESULTS:

Five studies met the inclusion criteria. Commonly assessed clinical features included respiratory rate, work of breathing, counting time and mental status. All studies found remote triage modalities to be appropriate for detecting severe respiratory distress or the need for emergency level care.

CONCLUSION:

Evidence-based tools to remotely assess dyspnoea will reduce resource strain during current and future pandemics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J R Coll Physicians Edinb Journal subject: Education / History of Medicine / Medicine Year: 2021 Document Type: Article Affiliation country: Jrcpe.2021.304

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J R Coll Physicians Edinb Journal subject: Education / History of Medicine / Medicine Year: 2021 Document Type: Article Affiliation country: Jrcpe.2021.304