Remote risk-stratification of dyspnoea in acute respiratory disorders: a systematic review of the literature

被引:2
|
作者
Ponnapalli, Anuradha [1 ]
Khare, Yuti [2 ]
Dominic, Catherine [3 ]
Ganesh, Shivani [3 ]
Bhalla, Gaurav [3 ]
Gokani, Shyam Ajay [4 ]
机构
[1] Univ Manchester, Manchester, Lancs, England
[2] St Georges Univ London, London, England
[3] Barts & London Queen Marys Sch Med & Dent, London, England
[4] UCL, Res Dept Primary Care & Populat Hlth, London NW3 2PF, England
关键词
COVID-19; dyspnoea; mhealth; remote assessment; telehealth; triage; SELF-TRIAGE; COVID-19;
D O I
10.4997/JRCPE.2021.304
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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. Conclusions Evidence-based tools to remotely assess dyspnoea will reduce resource strain during current and future pandemics.
引用
收藏
页码:221 / 229
页数:9
相关论文
共 50 条
  • [41] Cataract surgery risk stratification models: a systematic review
    Kang, Chaerim
    Zhu, Angela S.
    Waldman, Olivia
    Kashner, T. Michael
    Greenberg, Paul B.
    GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2025,
  • [42] Risk-Stratification following Acute Coronary Syndromes Using a Novel Electrocardiographic Technique to Measure Variability in Morphology
    Syed, Z.
    Scirica, B. M.
    Stultz, C. M.
    Guttag, J. V.
    COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2, 2008, : 13 - +
  • [43] Acute kidney injury and tools for risk-stratification in 456 patients with hantavirus-induced nephropathia epidemica
    Latus, Joerg
    Schwab, Matthias
    Tacconelli, Evelina
    Pieper, Friedrich-Michael
    Wegener, Daniel
    Rettenmaier, Bianka
    Schwab, Andrea
    Hoffmann, Larissa
    Dippon, Juergen
    Mueller, Simon
    Fritz, Peter
    Zakim, David
    Segerer, Stephan
    Kitterer, Daniel
    Kimmel, Martin
    Gussmann, Karl
    Priwitzer, Martin
    Mezger, Barbara
    Walter-Frank, Birgit
    Corea, Angela
    Wiedenmann, Albrecht
    Brockmann, Stefan
    Poehlmann, Christoph
    Alscher, M. Dominik
    Braun, Niko
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2015, 30 (02) : 245 - 251
  • [44] Respiratory Muscle Training for Respiratory Deficits in Neurodegenerative Disorders A Systematic Review
    Reyes, Alvaro
    Ziman, Mel
    Nosaka, Ken
    CHEST, 2013, 143 (05) : 1386 - 1394
  • [45] Risk Stratification in Noninvasive Respiratory Support Failure: A Narrative Review
    Johnny, Jace D.
    CRITICAL CARE NURSE, 2022, 42 (03) : 62 - 67
  • [46] Population risk stratification tools and interventions for chronic disease management in primary care: a systematic literature review
    Davide Golinelli
    Valentina Pecoraro
    Dario Tedesco
    Antonella Negro
    Elena Berti
    Maria Domenica Camerlingo
    Lucia Alberghini
    Matteo Lippi Bruni
    Maurizia Rolli
    Roberto Grilli
    BMC Health Services Research, 25 (1)
  • [47] Sudden Cardiac Death Risk Stratification and Prevention in Chagas Disease: A Non-systematic Review of the Literature
    Keegan, Roberto
    Yeung, Cynthia
    Baranchuk, Adrian
    ARRHYTHMIA & ELECTROPHYSIOLOGY REVIEW, 2020, 9 (04) : 175 - 181
  • [48] Risk-stratification and age-adjusted D-dimer test: Are there satisfactory in acute pulmonary embolism?
    Pandur, A.
    Banfai, B.
    Sipos, D.
    Schiszler, B.
    Betlehem, J.
    Radnai, B.
    EUROPEAN HEART JOURNAL, 2018, 39 : 139 - 139
  • [49] Use of Machine Learning to Develop a Risk-Stratification Tool for Emergency Department Patients With Acute Heart Failure
    Sax, Dana R.
    Mark, Dustin G.
    Huang, Jie
    Sofrygin, Oleg
    Rana, Jamal S.
    Collins, Sean P.
    Storrow, Alan B.
    Liu, Dandan
    Reed, Mary E.
    ANNALS OF EMERGENCY MEDICINE, 2021, 77 (02) : 237 - 248
  • [50] Not at Imminent Risk A Systematic Literature Review
    Monaghan, Kate
    Harris, Martin
    CRISIS-THE JOURNAL OF CRISIS INTERVENTION AND SUICIDE PREVENTION, 2015, 36 (06) : 459 - 463