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Sequelae in Adults at 6 Months After COVID-19 Infection
research-article
Author(s):
Jennifer K. Logue , BS
1 ,
Nicholas M. Franko , BS
1 ,
Denise J. McCulloch , MD, MPH
1 ,
Dylan McDonald , BA
1 ,
Ariana Magedson , BS
1 ,
Caitlin R. Wolf , BS
1 ,
Helen Y. Chu , MD, MPH
1
,
Publication date (Electronic):
19 February 2021
Journal:
JAMA Network Open
Publisher:
American Medical Association
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Abstract
This cohort study analyzed persistent symptoms among adults with coronavirus disease 2019 up to 9 months after illness onset.
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Most cited references5
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Persistent Symptoms in Patients After Acute COVID-19
Angelo Carfì, Roberto Bernabei, Francesco Landi (2020)
This case series describes COVID-19 symptoms persisting a mean of 60 days after onset among Italian patients previously discharged from COVID-19 hospitalization.
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Post-discharge persistent symptoms and health-related quality of life after hospitalization for COVID-19
Eve Garrigues, Paul Janvier, Yousra Kherabi … (2020)
Dear editor, In this journal, we recently reported a series of 279 hospitalized patients with novel coronavirus 2019 disease (COVID-19) and their short-term outcome. 1 However, only a few studies have assessed post-discharge persistent symptoms and health-related quality of life (HRQoL) after hospitalization for COVID-19. 2 , 3 Here, we describe a single-centre study assessing post-discharge persistent symptoms and HRQoL of patients hospitalized in our COVID-19 ward unit more than 100 days after their admission. COVID-19 diagnosis was based on positive SARS-CoV-2 real-time reverse transcriptase-polymerase chain reaction on nasal swabs, and/or typical abnormalities on chest computed tomography. Patients who were directly admitted to the ICU without being hospitalized in our COVID-19 unit were excluded. Demographic and clinical data at admission were extracted from electronic medical records. We designed a short phone questionnaire to collect post-discharge clinical symptoms, modified Medical Research Council (mMRC) dyspnoea scale scores, professional and physical activities, and attention, memory and/or sleep disorders. HRQoL was assessed using the EQ-5D-5L questionnaire, a widely used, validated European questionnaire 4 . Patients are asked to rate their health state from 1 to 5 in five domains (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and on a scale ranging from 0 (“the worst possible health”) to 100 (“the best possible health”) on a visual analogue scale (EQ-VAS). Based on the answers, an EQ-5D- index can be calculated, ranging from states worse than dead (<0) to 1 (full health). 5 All eligible patients were contacted by phone by trained physicians and were asked to answer to the questionnaire. Deceased, unreachable, demented, bedridden and non-French speaking patients were excluded. We compared patients managed in hospital ward without needing intensive care (“ward group”) with those who were transferred in intensive care units (ICU) for artificial ventilation, including non-invasive ventilation, high flow nasal cannula and/or mechanical ventilation (ICU group), with t-tests for quantitative variables and Chi-square tests for qualitative variables. All tests were two-sided, and a P-value <0.05 was considered statistically significant. All analyses were performed with R version 3.6.1. (R Foundation for Statistical Computing, Vienna, Austria). The study was approved by the local institutional review board (IRB 00006477). Of the 279 hospitalized patients between March 15th and April 14th, 2020 in our COVID-19 unit, 48 were admitted to ICU, and 57 patients died within the three months following admission (43 in the ward group and 14 in the ICU group) (Supplementary figure 1). After having excluded demented or bedridden (n=18), unreachable (n=69), non-French speaking patients (n=12), and those declining participation (n=2), 120 patients answered the phone questionnaire after a mean (±SD) of 110.9 (±11.1) days following admission: 96 in the ward group and 24 in the ICU group for artificial ventilation (mechanical ventilation for 14, CPAP for 10 and high flow nasal cannula for 7). After a mean of 110.9 days, the most frequently reported persistent symptoms were fatigue (55%), dyspnoea (42%), loss of memory (34%), concentration and sleep disorders (28% and 30.8%, respectively) (Table 1 ). Loss of hair was reported by 24 (20%) patients, including 20 women and 4 men. Comparisons between ward- and ICU patients led to no statistically significant differences regarding those symptoms. Thirty-five (29%) patients had a mMRC grade ≥2 (“Walks slower than people of the same age because of dyspnoea or has to stop for breath when walking at own pace”). Table 1 Post-discharge persistent symptoms and health-related quality of life of 120 patients after a mean of 110.9 days after their admission for COVID-19. Table 1 Overall Ward patients ICU patients P value N=120 N=96 N=24 Age, years 63.2 (15.7) 64.1 (16.1) 59.6 (13.7) 0.208 Sex, male 75 (62.5) 56 (58.3) 19 (79.2) 0.099 Comorbidities Diabetes 26 (21.7) 22 (22.9) 4 (16.7) 0.698 Hypertension 56 (46.7) 45 (46.9) 11 (45.8) 1.000 Body mass index (kg/m²) <0.001 <25, n (%) 35 (29.2) 32 (33.3) 3 (12.5) ≥25, n (%) 57 (47.5) 37 (38.5) 20 (83.3) Missing, n (%) 28 (23.3) 27 (28.1) 1 (4.2) Clinical features at admission Confusion 7 (5.8) 6 (6.2) 1 (4.2) 1.000 Cough 87 (72.5) 69 (71.9) 18 (75.0) 0.959 Dyspnoea 88 (73.3) 68 (70.8) 20 (83.3) 0.327 Myalgia 19 (15.8) 16 (16.7) 3 (12.5) 0.851 Diarrhoea 29 (24.2) 25 (26.0) 4 (16.7) 0.488 Admission data Length of stay in hospital, days 11.2 (13.4) 7.4 (5.4) 26.5 (22.3) <0.001 Length of stay in ICU, days - - 17.1 (15.7) - Persistent symptoms Cough 20 (16.7) 14 (14.6) 6 (25.0) 0.358 Chest pain 13 (10.8) 11 (11.5) 2 (8.3) 0.941 Fatigue 66 (55.0) 52 (54.2) 14 (58.3) 0.891 Dyspnoea 50 (41.7) 38 (39.6) 12 (50.0) 0.487 Ageusia 13 (10.8) 9 (9.4) 4 (16.7) 0.509 Anosmia 16 (13.3) 14 (14.6) 2 (8.3) 0.638 Hair loss 24 (20.0) 18 (18.8) 6 (25.0) 0.690 Attention disorder 32 (26.7) 28 (29.2) 4 (16.7) 0.327 Memory loss 41 (34.2) 36 (37.5) 5 (20.8) 0.194 Sleep disorder 37 (30.8) 29 (30.2) 8 (33.3) 0.535 mMRC dyspnoea scale 0.438 Grade 0 56 (46.7) 47 (49.0) 9 (37.5) Grade 1 29 (24.2) 22 (22.9) 7 (29.2) Grade 2 or more 35 (29.2) 27 (28.1) 8 (33.3) Professional and physical activities Returned to work/worked before hospitalization 38/56 (67.9) 31/41 (75.6) 7/15 (46.7) 0.061 Resumed sport/practiced sport regularly before hospitalization 28/39 (71.8) 23/31 (74.2) 5/8 (62.5) 0.937 EQ-5D-5L EQ-VAS (%) 70.3 (21.5) 69.9 (21.4) 71.7 (22.2) 0.711 EQ-5D index 0.86 (0.20) 0.86 (0.19) 0.82 (0.21) 0.306 Results are expressed as count (%) for categorical variables and as mean (standard deviation) for quantitative variables. ICU: intensive care unit; mMRC: modified Medical Research Council; Before COVID-19 infection, 56 (46.7%) were active workers. Among them, 38 (69.1%) had gone back to work at the time of the phone interview. Among the 39 patients who had regular sports activity before their hospitalizations for COVID-19, 28 (71.8%) have been able to resume physical activity, but at a lower level for 18 (46%). There was no statistically significant difference between ward and ICU groups, but there was a non-significant trend towards a reduced proportion of patients returning to work among ICU patients (46.7% versus 77.5%, P=0.061). In both group, dimensions of the EQ-5D (mobility, self-care, pain, anxiety or depression, usual activity) were altered with a slight difference in pain in the ICU group, but no statistically significant difference in the other groups (Figure 1 ). Mean EQ-VAS was 70.3% and mean EQ-5D index 0.86, with no difference between ICU and ward patients (Table 1). Figure 1 Health-related quality of life after hospitalization for COVID-19 assessed by the EQ-5D 5L in the ward and the ICU groups. 1A: Distribution of the EQ-5D index (0: death to 1: full health). 1B: EQ-5D 5L scores in the ward and in the ICU groups on each domain. Each domain is scored on a 5-point scale: 1 no problem, 2 slight problem, 3 moderate problem, 4 severe problem, 5 unable to do. *: P=0.032. Figure 1 The present study shows that most patients requiring hospitalization for COVID-19 still have persistent symptoms, even 110 days after being discharged, especially fatigue and dyspnoea. These results highlight the need for a long-term follow-up of those patients and rehabilitation programs. Surprisingly, many patients (mainly women) spontaneously reported significant hair loss, which may correspond to a telogen effluvium, secondary to viral infection and/or a stress generated by the hospitalization and the disease. 6 Nevertheless, HRQoL was quite satisfactory, as most patients who had a professional activity before the infection went back to work. Except pain or discomfort, we found no significant difference regarding persistent symptoms and HRQoL between ward patients versus ICU patients. This clearly supports the interest of a full resuscitation for COVID patients despite heaviness of cares. However, patients from our “ICU group” were relatively non-severe, as those who were directly admitted to ICU (thus corresponding to the most severe forms) were not included in our study. Other limitations of our study include the limited number of patients, the single-centre nature of our series, and the high rate of unreachable patients, which could lead to differential bias. In conclusion, many symptoms persist several months after hospitalization for COVID-19. While there were few differences between HRQoL between ward and ICU patients, our findings must be confirmed in larger cohorts, including more severe ICU patients. AUTHOR CONTRIBUTIONS All authors have made substantial contributions to this work and have approved the final version of the manuscript. Concept and design: EG, BF, YN. Acquisition of data: all authors. Statistical analysis: YN. Interpretation of data: EG, BF, YN. Writing original draft: EG, YN. Writing review and editing: all authors. FINANCIAL SUPPORT None Declaration of Competing Interest None of the authors declared any competing interest in link with the present study.
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Long-term Health Consequences of COVID-19
Carlos del Rio, Lauren F. Collins, Preeti Malani (2020)
Author and article information
Journal
Journal ID (nlm-ta): JAMA Netw Open
Journal ID (iso-abbrev): JAMA Netw Open
Journal ID (pmc): JAMA Netw Open
Title:
JAMA Network Open
Publisher:
American Medical Association
ISSN
(Electronic):
2574-3805
Publication date
(Electronic):
19
February
2021
Publication date Collection:
February
2021
Publication date PMC-release: 19
February
2021
Volume: 4
Issue: 2
Electronic Location Identifier: e210830
Affiliations
Author notes
Article Information
Open Access: This is an open access article distributed under the terms of the
CC-BY License. © 2021 Logue JK et al.
JAMA Network Open.
Corresponding Author: Helen Y. Chu, MD, MPH, Division of Allergy and Infectious Diseases, Department of
Medicine, University of Washington, 750 Republican St, Room E691, Seattle, WA 98109
(
helenchu@
123456uw.edu
).
Author Contributions
: Ms Logue and Dr Chu had full access to all of the data in the study and take responsibility
for the integrity of the data and the accuracy of the data analysis. Mr Franko and
Ms Logue contributed equally to this study and are joint first authors.
Conflict of Interest Disclosures: Dr Chu reported receiving personal fees from Merck, Ellume, the Bill and Melinda
Gates Foundation, GlaxoSmithKline, and Pfizer; receiving grants from Sanofi-Pasteur;
and receiving reagents from Cepheid Research outside the submitted work. No other
disclosures were reported.
Article
Publisher ID: zld210014DOI: 10.1001/jamanetworkopen.2021.0830
PMC ID: 7896197
PubMed ID: 33606031
SO-VID: 07320e2e-7f62-4983-9164-2d38c99df408
Copyright © Copyright 2021 Logue JK et al.
JAMA Network Open.
License:
This is an open access article distributed under the terms of the CC-BY License.
History
Date
received
: 1
December
2020
Date
accepted
: 16
January
2021
Categories
Subject:
Research
Subject:
Research Letter
Subject:
Online Only
Subject:
Infectious Diseases
Data availability: