Cargando…
Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study
Background: We aimed to longitudinally monitor the recovery in breathlessness, symptom burden, health-related quality-of-life, and mental health status in individuals hospitalised due to SARS-CoV-2 associated respiratory failure. Methods: Individuals hospitalised due to SARS-CoV-2 associated respira...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397765/ https://www.ncbi.nlm.nih.gov/pubmed/36188784 http://dx.doi.org/10.3389/fresc.2021.777396 |
_version_ | 1784772191408095232 |
---|---|
author | Kohlbrenner, Dario Kuhn, Manuel Stüssi-Helbling, Melina Nordmann, Yves Spielmanns, Marc Clarenbach, Christian F. |
author_facet | Kohlbrenner, Dario Kuhn, Manuel Stüssi-Helbling, Melina Nordmann, Yves Spielmanns, Marc Clarenbach, Christian F. |
author_sort | Kohlbrenner, Dario |
collection | PubMed |
description | Background: We aimed to longitudinally monitor the recovery in breathlessness, symptom burden, health-related quality-of-life, and mental health status in individuals hospitalised due to SARS-CoV-2 associated respiratory failure. Methods: Individuals hospitalised due to SARS-CoV-2 associated respiratory failure were recruited at hospital discharge in three participating centres. During the 90 day follow-up, European Quality of Life−5 Dimensions−5 Levels Instrument (EQ-5D-5L), modified Medical Research Council (mMRC) Dyspnoea Scale, COPD Assessment Test (CAT), and weekly Hospital Anxiety and Depression Scale (HADS) questionnaires were assessed using a smartphone application. The results were presented using descriptive statistics and graphics. Linear mixed models with random intercept were fitted to analyse differences of intensive-care unit status on the recovery course in each outcome. Results: We included 58 participants, 40 completed the study. From hospital discharge until 90 days post-discharge, EQ-5D-5L index changed from 0.83 (0.66, 0.92) to 0.96 (0.82, 1.0), VAS rating on general health status changed from 62 (50, 75) % to 80 (74, 94) %, CAT changed from 13 (10, 21) to 7 (3, 11) points, mMRC changed from 1 (0, 2) to 0 (0, 1) points, HADS depression subscale changed from 6 (4, 9) to 5 (1, 6) points, HADS anxiety subscale changed from 7 (3, 9) to 2 (1, 8) points. Differences in the recovery courses were observed between intensive-care and ward participants. Participants that were admitted to an intensive-care unit during their hospitalisation (n = 16) showed increases in CAT, mMRC, HADS scores, and decreases in EQ-5D-5L 30 days after hospital discharge. Conclusion: Being admitted to an ICU led to statistically significant reductions in recovery in the EQ-5D-5L and the CAT. Furthermore, the flare-up in symptom burden and depression scores, accompanied by an attenuated recovery in HrQoL and general health status in the ICU-group suggests that a clinical follow-up 1 month after hospital discharge can be recommended, evaluating further treatments. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT04365595]. |
format | Online Article Text |
id | pubmed-9397765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93977652022-09-29 Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study Kohlbrenner, Dario Kuhn, Manuel Stüssi-Helbling, Melina Nordmann, Yves Spielmanns, Marc Clarenbach, Christian F. Front Rehabil Sci Rehabilitation Sciences Background: We aimed to longitudinally monitor the recovery in breathlessness, symptom burden, health-related quality-of-life, and mental health status in individuals hospitalised due to SARS-CoV-2 associated respiratory failure. Methods: Individuals hospitalised due to SARS-CoV-2 associated respiratory failure were recruited at hospital discharge in three participating centres. During the 90 day follow-up, European Quality of Life−5 Dimensions−5 Levels Instrument (EQ-5D-5L), modified Medical Research Council (mMRC) Dyspnoea Scale, COPD Assessment Test (CAT), and weekly Hospital Anxiety and Depression Scale (HADS) questionnaires were assessed using a smartphone application. The results were presented using descriptive statistics and graphics. Linear mixed models with random intercept were fitted to analyse differences of intensive-care unit status on the recovery course in each outcome. Results: We included 58 participants, 40 completed the study. From hospital discharge until 90 days post-discharge, EQ-5D-5L index changed from 0.83 (0.66, 0.92) to 0.96 (0.82, 1.0), VAS rating on general health status changed from 62 (50, 75) % to 80 (74, 94) %, CAT changed from 13 (10, 21) to 7 (3, 11) points, mMRC changed from 1 (0, 2) to 0 (0, 1) points, HADS depression subscale changed from 6 (4, 9) to 5 (1, 6) points, HADS anxiety subscale changed from 7 (3, 9) to 2 (1, 8) points. Differences in the recovery courses were observed between intensive-care and ward participants. Participants that were admitted to an intensive-care unit during their hospitalisation (n = 16) showed increases in CAT, mMRC, HADS scores, and decreases in EQ-5D-5L 30 days after hospital discharge. Conclusion: Being admitted to an ICU led to statistically significant reductions in recovery in the EQ-5D-5L and the CAT. Furthermore, the flare-up in symptom burden and depression scores, accompanied by an attenuated recovery in HrQoL and general health status in the ICU-group suggests that a clinical follow-up 1 month after hospital discharge can be recommended, evaluating further treatments. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT04365595]. Frontiers Media S.A. 2021-11-24 /pmc/articles/PMC9397765/ /pubmed/36188784 http://dx.doi.org/10.3389/fresc.2021.777396 Text en Copyright © 2021 Kohlbrenner, Kuhn, Stüssi-Helbling, Nordmann, Spielmanns and Clarenbach. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Rehabilitation Sciences Kohlbrenner, Dario Kuhn, Manuel Stüssi-Helbling, Melina Nordmann, Yves Spielmanns, Marc Clarenbach, Christian F. Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title | Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title_full | Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title_fullStr | Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title_full_unstemmed | Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title_short | Longitudinal Smartphone-Based Post-hospitalisation Symptom Monitoring in SARS-CoV-2 Associated Respiratory Failure: A Multi-Centre Observational Study |
title_sort | longitudinal smartphone-based post-hospitalisation symptom monitoring in sars-cov-2 associated respiratory failure: a multi-centre observational study |
topic | Rehabilitation Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397765/ https://www.ncbi.nlm.nih.gov/pubmed/36188784 http://dx.doi.org/10.3389/fresc.2021.777396 |
work_keys_str_mv | AT kohlbrennerdario longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy AT kuhnmanuel longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy AT stussihelblingmelina longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy AT nordmannyves longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy AT spielmannsmarc longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy AT clarenbachchristianf longitudinalsmartphonebasedposthospitalisationsymptommonitoringinsarscov2associatedrespiratoryfailureamulticentreobservationalstudy |