Long COVID and breathlessness: an overview

2021 ◽  
Vol 26 (9) ◽  
pp. 438-443
Author(s):  
Patricia Robinson

This article offers a review of what is known so far about post-acute covid-19 and the underlying pathophysiology related to this condition. The main focus will be on the respiratory symptoms. It will then explore how community nurses can monitor and support patients with symptoms of breathlessness with a supporting discussion of the current recommendations for the management and treatment of patients presenting with symptoms of breathlessness. Palliation of symptoms will be highlighted but managing the supportive care needs for patients affected by COVID-19 and nearing the end of life is outside the scope of this article.

2016 ◽  
Vol 6 (3) ◽  
pp. 386.3-387
Author(s):  
Nicky Baker ◽  
Kathy Armour ◽  
Sabi Redwood ◽  
Chantal Meystre ◽  
Angus Dawson

2009 ◽  
Vol 27 (36) ◽  
pp. 6172-6179 ◽  
Author(s):  
Jo Armes ◽  
Maggie Crowe ◽  
Lynne Colbourne ◽  
Helen Morgan ◽  
Trevor Murrells ◽  
...  

Purpose To estimate prevalence and severity of patients' self-perceived supportive care needs in the immediate post-treatment phase and identify predictors of unmet need. Patients and Methods A multicenter, prospective, longitudinal survey was conducted. Sixty-six centers recruited patients for 12 weeks. Patients receiving treatment for the following cancers were recruited: breast, prostate, colorectal, and gynecologic cancer and non-Hodgkin's lymphoma. Measures of supportive care needs, anxiety and depression, fear of recurrence, and positive and negative affect were completed at the end of treatment (T0) and 6 months later (T1). Results Of 1,850 patients given questionnaire packs, 1,425 (79%) returned questionnaires at T0, and 1,152 (62%) returned questionnaires at T1. Mean age was 61 years; and most respondents were female (69%) and had breast cancer (57%). Most patients had no or few moderate or severe unmet supportive care needs. However, 30% reported more than five unmet needs at baseline, and for 60% of these patients, the situation did not improve. At both assessments, the most frequently endorsed unmet needs were psychological needs and fear of recurrence. Logistic regression revealed several statistically significant predictors of unmet need, including receipt of hormone treatment, negative affect, and experiencing an unrelated significant event between assessments. Conclusion Most patients do not express unmet needs for supportive care after treatment. Thirty percent reported more than five moderate or severe unmet needs at both assessments. Unmet needs were predicted by hormone treatment, negative mood, and experiencing a significant event. Our results suggest that there is a proportion of survivors with unmet needs who might benefit from the targeted application of psychosocial resources.


2018 ◽  
Vol 55 (2) ◽  
pp. 591-592
Author(s):  
Laura Obregon ◽  
Kwonho Jeong ◽  
Jonathan Yabes ◽  
Joseph Pilewski ◽  
Laura Tycon ◽  
...  

2011 ◽  
Vol 38 (2) ◽  
pp. 189-198 ◽  
Author(s):  
Nancy Carter ◽  
Denise Bryant-Lukosius ◽  
Alba DiCenso ◽  
Jennifer Blythe ◽  
Alan J. Neville

2018 ◽  
Vol 18 (6) ◽  
pp. e1237
Author(s):  
Christina Kozul ◽  
Lesley Stafford ◽  
Chad Bousman ◽  
Allan Park ◽  
Kerry Shanahan ◽  
...  

2016 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Ibrahim Alananzeh ◽  
Janelle Levesque ◽  
Cannas Kwok ◽  
Bronwyn Everett

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