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Long-term health outcomes of COVID-19 in ICU- and non-ICU-treated patients up to 2 years after hospitalization: a longitudinal cohort study (CO-FLOW)

Abstract

Background

Many patients hospitalized for COVID-19 experience long-term health problems, but comprehensive longitudinal data up to 2 years remain limited. We aimed to (1) assess 2-year trajectories of health outcomes, including comparison between intensive care unit (ICU) treated and non-ICU-treated patients, and (2) identify risk factors for prominent health problems post-hospitalization for COVID-19.

Methods

The CO-FLOW multicenter prospective cohort study followed adults hospitalized for COVID-19 at 3, 6, 12, and 24 months post-discharge. Measurements included patient-reported outcomes (a.o., recovery, symptoms, fatigue, mental health, sleep quality, return to work, health-related quality of life [HRQoL]), and objective cognitive and physical tests. Additionally, routine follow-up data were collected.

Results

650 patients (median age 60.0 [IQR 53.0–67.0] years; 449/650 [69%] male) surviving hospitalization for COVID-19 were included, of whom 273/650 (42%) received ICU treatment. Overall, outcomes improved over time. Nonetheless, 73% (322/443) of patients had not completely recovered from COVID-19, with memory problems (274/443; 55%), concentration problems (259/443; 52%), and dyspnea (251/493; 51%) among most frequently reported symptoms at 2 years. Moreover, 61% (259/427) had poor sleep quality, 51% (222/433) fatigue, 23% (102/438) cognitive failures, and 30% (65/216) did not fully return to work. Objective outcome measures showed generally good physical recovery. Most outcomes were comparable between ICU- and non-ICU-treated patients at 2 years. However, ICU-treated patients tended to show slower recovery in neurocognitive symptoms, mental health outcomes, and resuming work than non-ICU-treated patients, while showing more improvements in physical outcomes. Particularly, female sex and/or pre-existing pulmonary disease were major risk factors for poorer outcomes.

Conclusions

73% (322/443) of patients had not completely recovered from COVID-19 by 2 years. Despite good physical recovery, long-term neurocognitive complaints, dyspnea, fatigue, and impaired sleep quality persisted. ICU-treated patients showed slower recovery in neurocognitive and mental health outcomes and resumption of work. Tailoring long-term COVID-19 aftercare to individual residual needs is essential. Follow-up is required to monitor further recovery.

Trial registration: NL8710, registration date 12-06-2020.

Introduction

More than 3 years after the onset of the COVID-19 pandemic, over 771 million people worldwide have been infected with SARS-CoV-2 [1]. Although a large proportion of infections has a mild disease course, hospitalization including intensive care unit (ICU) admission for respiratory failure may be required. Many patients do not fully recover to their pre-COVID-19 health status after hospitalization [2], experiencing a wide range of persistent health problems with fatigue and neurocognitive problems among the most frequently reported [3, 4]. Furthermore, incomplete recovery after COVID-19 infection is associated with reduced health-related quality of life (HRQoL) [4, 5]. Patients with COVID-19 who suffer persistent health problems place a considerable strain on healthcare services and medical costs, on top of the personal and societal impacts [6].

Although several studies report health problems after COVID-19 up to one year after hospitalization [3, 4, 7, 8], data beyond one year remain limited. Two large cohort studies from Wuhan, China, showed that while the proportion of patients with persisting symptoms decreased over time, the majority still experienced symptoms 2 years after hospitalization for COVID-19 [4, 9]. Also population-based studies involving non-hospitalized individuals showed persisting symptoms up to 2 years, with more severely affected individuals having an increased risk of symptom manifestations [10, 11]. After ICU treatment, patients often experience persistent symptoms, including physical, cognitive, and mental problems, generally referred to as the Post-Intensive Care Syndrome (PICS) [12]. In the Wuhan studies, only 4% (51/1192) [4] and 1.9% (36/1864) [9] of the patients required ICU treatment for COVID-19, limiting inferences about different aftercare needs for ICU- and non-ICU-treated patients. One European study found that 84% of their patients experienced symptoms affecting daily life 2 years after hospitalization for COVID-19, with comparable prevalence of symptoms in ICU- and non-ICU-treated patients [13]. While this finding is in line with several short-term studies [14, 15], others have reported more sequelae in ICU-treated patients compared with non-ICU-treated patients [5, 16, 17]. Overall, a more comprehensive and multidimensional longitudinal evaluation of long-term health outcomes beyond one year and identification of patients at risk for poor outcomes after hospitalization for COVID-19 are pivotal for refining aftercare strategies. Moreover, an evaluation on potential disparities in long-term health outcomes between ICU- and non-ICU-treated patients with COVID-19 is required. Our study is particularly well-suited for comparing ICU-treated and non-ICU-treated patients, as our study contains a higher proportion of ICU patients compared to the average proportion of ICU admissions across all Dutch hospitals [18].

Our primary aim of this study was to assess trajectories of a comprehensive range of health outcomes, both patient-reported and objectively measured, in patients with COVID-19 up to 2 years after hospital discharge, including a comparison between ICU- and non-ICU-treated patients. The secondary aim was to identify risk factors for self-reported recovery status and prominent long-term health problems in these patients: fatigue, cognitive failures, sleep quality, and health-related quality of life.

Methods

Study design and participants

We performed a 2-year prospective multicenter cohort study, COvid-19 Follow-up care paths and Long-term Outcomes Within the Dutch health care system (CO-FLOW), that follows up patients discharged from hospitals in the Rotterdam–Rijnmond–Delft region in the Netherlands. This study was performed in 7 hospitals (1 academic and 6 regional hospitals) and 3 rehabilitation centers (1 medical rehabilitation center and 2 skilled nursing facilities). This study included patients between July 2020 and October 2021 who had been hospitalized for COVID-19 (diagnosis by laboratory or clinical findings), aged ≥ 18 years, had sufficient knowledge of the Dutch or English language, and were within 6 months post-discharge. Incapacitated patients (e.g., dementia) were not included. Eligible patients were informed about the CO-FLOW study at hospital discharge and were recruited during routine follow-up at the outpatient clinic of one of the participating centers or during their inpatient stay in a rehabilitation center. In the Netherlands, it is standard practice to offer post-discharge follow-up to patients with COVID-19 at the outpatient clinic of the discharging hospital, with the first visit generally scheduled 6–12 weeks post-discharge. Recruitment of study participants occurred independently of the patient’s recovery status and primarily depended on availability of research personnel. The CO-FLOW study protocol has been described in detail elsewhere [19]. The Medical Ethics Committee of the Erasmus MC, University Medical Center Rotterdam, approved this study (MEC-2020-0487). This study has been prospectively registered in the International Clinical Trial Registry Platform (NL8710). Participants provided written informed consent before the start of study measurements. We reported this observational study according to STROBE guidelines.

Procedures

Study visits were performed at 3, 6, 12, and 24 months after hospital discharge at the outpatient clinic of one of the participating hospitals. For patients unable to visit the hospital for study visits, a research assistant performed study visits at home. During study visits, physical and cognitive tests and recovery and symptom checklist were administered. In addition, a survey of validated patient-reported outcome measures (PROMs) was sent via e-mail or postal mail. Baseline characteristics and routine follow-up data regarding pulmonary and radiological sequelae were retrospectively collected from medical records at the participating facilities and during the first study visit. We collected patients’ age, sex, body mass index (BMI), migration background, education level, employment status, smoking status, pre-COVID-19 leisure time physical activity, assessed with the Saltin–Grimby Physical Activity Level Scale questionnaire [20], and comorbidities at hospital admission. In-hospital characteristics included COVID-19 wave, the first assessment upon admission of laboratory values and chest X-ray abnormalities, type of treatment for COVID-19, thrombosis, delirium, maximum level and type of oxygen support, ICU treatment, length of stay (LOS) in ICU, and LOS in hospital. Additionally, we collected information on patient discharge destination after hospitalization. Routine follow-up at hospitals generally took place around 6 weeks to 3 months post-discharge and were generally continued around 6, 12, and 24 months if residual pulmonary abnormalities persisted. All collected data were stored in the Castor Electronic Data Capture system (Castor EDC, Amsterdam, the Netherlands).

Study outcome measurements

Recovery and symptoms

Self-reported recovery status from COVID-19, as compared to pre-COVID-19 health status, was assessed with the Core Outcome Measure for self-reported recovery from COVID-19 and dichotomized into completely recovered and not completely recovered (mostly recovered, somewhat recovered, half recovered, and not recovered at all) [21]. New symptoms since COVID-19 were assessed using a symptom questionnaire (Corona Symptom Checklist, 26 symptoms) to assess the presence of new or worsened symptoms following SARS-CoV-2 infection. At the 24-month visit, patients were asked to also rate the severity (mild, moderate, severe, or very severe) of these symptoms.

PROMs

Fatigue was assessed with the Fatigue Assessment Scale (scores 0–50, cutoff ≥ 22) [22]; dyspnea with the Modified Medical Research Council Dyspnea Scale [23, 24]; anxiety and depression with the Hospital Anxiety and Depression Scale, subscales Anxiety and Depression (subscale scores 0–21, cutoff ≥ 11) [25]; posttraumatic stress disorder (PTSD) with the Impact of Event Scale-Revised (scores 0–88, cutoff ≥ 33) [26, 27]; cognitive failures with the Cognitive Failures Questionnaire (CFQ, scores 0–100, cutoff > 43) [28, 29]; sleep quality with the Pittsburgh Sleep Quality Index (scores 0–21, cutoff ≥ 5) [30]; independency in activities of daily life with the Barthel Index (scores 0–20) [31]; physical fitness with the International Fitness Scale (scored as very poor, poor, average, good, or very good) [32]; physical activity with the International Physical Activity Questionnaire (expressed in MET-minutes/week) [33]; participation in daily life activities with the Utrecht Scale for Evaluation of Rehabilitation-Participation on three scales: frequency, restrictions, and satisfaction (subscale scores 0–100) [34]; employment status with the iMTA Productivity Cost Questionnaire (categorized into no, partial, or full return to work) for patients with a paid job before SARS-CoV-2 infection [35]; and health-related quality of life with the 5-level EuroQoL-5D (EQ-5D-5L) questionnaire and the 36-item Short Form Health Survey (SF-36). The EQ-5D-5L consists of the 5-level EQ-5D index value (0 indicates death and 1 perfect health; negative scores indicate a health status worse than death) and a visual analogue scale (EQ-VAS, scores 0–100) [36]. The SF-36 consists of 8 domains (scores 0–100) and a physical and mental component summary score [37].

Objective study measurements

Cognitive functioning was assessed with the Montreal Cognitive Assessment (MoCA) (score range 0–30, cutoff < 26) [38] at the patient’s first study visit, and, only if score < 26, repeated at subsequent visits. Physical function was evaluated for aerobic capacity with the 6 min walk test (6MWT) assessing the 6 min walk distance (6MWD) [39] and the 1 min sit-to-stand test (1MSTST) assessing the number of sit-to-stand repetitions [40]. Muscle strength was assessed by measurement of maximum isometric handgrip strength (HGS) in kg over three attempts per hand [41]. Mobility was assessed with the De Morton Mobility Index (DEMMI) test (scores 0–100) [42, 43]. Outcomes of the 6MWT [44], 1MSTST [45], and HGS [46] were normalized to the percentage of normative values using reference values, as well as to performance below the lower limit of normal (LLN) for the 6MWT.

Routine follow-up data

Pulmonary function tests (PFT) consisted of spirometry measuring forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1) in liters, and diffusion capacity of the lungs for carbon monoxide adjusted for hemoglobin (DLCOc) in mmol min−1 kPa−1, according to the standards of the American Thoracic Society and European Respiratory Society [47]. PFT parameters are also expressed as a percentage of predicted FVC, FEV1, and DLCOc values, using references values from the Global Lung Function Initiative Network [48, 49]. A value below the LLN (z-score < − 1.64) was defined as abnormal. Radiographic evaluation consisted of chest radiography or thin-section non-contrast chest-CT scan, which was interpreted by experienced radiologists using a standardized assessment. Chest radiographs were classified as normal, moderate, or severe abnormalities. CT scans were scored for the presence of abnormalities including ground-glass opacities (none, moderate, or severe), bronchiectasis or bronchiolectasis (none, moderate, or severe), consolidations, reticulation/fibrosis, and subpleural lines and bands.

Statistical analysis

Data are presented as mean with standard deviation (SD) and/or median with interquartile range (IQR) or as number with percentage. Group comparisons (ICU vs. non-ICU) were performed for continuous variables with the Mann–Whitney U test and for categorical variables with the Chi-squared test. For cognitive function, scores ≥ 26 were carried forward in future study visits. For the primary aim, we used Generalized Estimating Equations (GEE) with repeated measurements to explore the trajectories of health outcomes over time in the total cohort and comparing ICU and non-ICU groups. The GEE is a semi-parametric approach which considers within- and between-subject correlations and uses all available measurements despite incomplete data. We entered follow-up time (3, 6, 12, and 24 months) as a fixed factor in the GEE analysis for the total cohort. Additionally, we entered group (ICU vs. non-ICU) as a fixed factor and the interaction of follow-up time with group in the GEE for the subgroup analyses. The GEE outcomes of the 2-year trajectories for physical (percentage of normative values) and mental health outcomes are displayed graphically; for mental health variables the GEE analysis was adjusted for age and sex. For the secondary aim, we used GEE analyses to assess risk factors for recovery status, fatigue, cognitive failures, sleep quality, and HRQoL over the 2-year follow-up period. We selected covariables (i.e., characteristics at hospital admission) a priori and entered them as fixed factors in each GEE analysis, including time (follow-up visits), age, sex (male or female), obesity (obese if BMI ≥ 30 kg/m2, yes/no), cardiovascular disease (yes/no), pulmonary disease (yes/no), diabetes (yes/no), migration background (European or non-European), education (low, middle, or high), employment status (employed, unemployed, or retired), smoking status (current/former or never), steroid or anti-inflammatory treatment (yes/no), ICU admission (yes/no), and the LOS in hospital (days). Each GEE analysis was performed using an unstructured correlation matrix, without data imputation. A P value below 0.05 was considered statistically significant, unless stated otherwise. We used a Bonferroni-corrected α threshold to correct for multiple comparisons in recovery and symptoms (α = 0.00185), validated PROMs (α = 0.00417), objective study measurements (α = 0.01), and routine follow-up data (α = 0.00556). All statistical analyses were performed with IBM SPSS Statistics version 28 (SPSS Inc., Chicago, IL, USA).

Results

We included 650 patients after hospitalization for COVID-19 (Fig. 1), all discharged between March 24, 2020 and June 17, 2021; 273 (42%) patients received ICU treatment. Study visits were performed between July 1, 2020 and June 7, 2023. Table 1 shows the baseline characteristics at hospital admission. For the total cohort, the median age was 60.0 (53.0–67.0) years and 449 (69%) were male. Compared to the non-ICU group, the ICU group comprised more males (205 [75%] vs. 244 [65%], p = 0.005) and non-Europeans (95 [36%] vs. 86 [23%], p < 0.001), and more frequently had obesity (145 [53%] vs. 121 [32%], p < 0.001). Most patients in the ICU group (235 [86%]) required invasive mechanical ventilation for a median duration of 15.0 (8.5–28.0) days and patients had longer overall median LOS in hospital than the non-ICU group (31.0 [19.0–47.0] vs. 6.0 [4.0–10.5] days, p < 0.001). Moreover, ICU-treated patients were more frequently discharged to inpatient rehabilitation, whereas non-ICU-treated patients were mostly discharged home after hospitalization.

Fig. 1
figure 1

Flowchart of CO-FLOW study visits

Table 1 Baseline characteristics of study participants

Recovery status and symptoms

Total cohort

Recovery status, having ≥ 1 symptom, and proportion of symptoms of impaired fitness, fatigue, dyspnea, muscle weakness, hair loss, sleep disturbances, and joint pain improved significantly over 2 years in the total cohort, whereas proportion of hearing problems worsened (all p < 0.00185) (Table 2 and Supplementary Table S1). At 2 years, 73% (322/443) of patients had not completely recovered from COVID-19. Regarding symptoms, 88% (443/503) experienced ≥ 1 symptoms, most frequently impaired fitness (62%), fatigue (61%), memory problems (55%), concentration problems (52%), and dyspnea (51%). Patients indicated these symptoms as severe or very severe for impaired fitness in 33% (85/254), fatigue in 43% (108/253), memory problems in 36% (82/225), and concentration problems in 37% (79/217) (Supplementary Table S2).

Table 2 Trajectories of self-reported recovery and the ten most prevalent symptoms in ICU- and non-ICU-treated patients for COVID-19 up to 2 years after hospital discharge

ICU- vs. non-ICU-treated patients

On average, the proportion of patients with muscle weakness, tingling/numbness in extremities, and hoarseness was significantly higher in the ICU group than in the non-ICU group (all p < 0.001); other symptoms were comparable (Table 2). Over time, the ICU group was more likely to experience memory problems (OR 2.1 [95%CI 1.4–3.1], p < 0.001) and sleep disturbances (2.2 [1.4–3.4], p < 0.001) compared to the non-ICU group. At 2 years, outcomes did not differ significantly between groups, except a higher proportion of hoarseness in the ICU group (p < 0.001).

PROMs

Total cohort

Outcomes of fatigue, mental health, sleep quality, physical fitness, participation, return to work, and HRQoL improved significantly (all p < 0.00417) over time in the total cohort (Table 3). At 2 years, 51% (222/433) of patients experienced fatigue, 10% (43/446) anxiety, 10% (45/446) depression, 7% (31/446) PTSD, 23% (102/446) cognitive failures, 61% (259/427) poor sleep quality, 18% (81/447) poor or very poor physical fitness, and, among patients with a paid job before COVID-19, 30% (65/216) had not fully returned to work. Regarding HRQoL, patients reached a mean EQ-5D index value of 0.80 (0.22) and EQ-VAS of 73.4 (18.2) by 2 years.

Table 3 Trajectories of validated PROMs in COVID-19 patients up to 2 years after hospital discharge

ICU- vs. non-ICU-treated patients

On average, the proportion of patients who had not yet fully returned to work was significantly higher in the ICU group than in the non-ICU group (p < 0.001); other outcomes were comparable (Table 3). Over time, as for mental health, Fig. 2A presents the group trajectories of PTSD and cognitive failures scores and the proportion of patients with depression and anxiety (Supplementary Table S4); after Bonferroni correction, only PTSD recovery was significantly slower in the ICU than in the non-ICU group. Moreover, the ICU group was less likely to fully return to work over time compared to the non-ICU group (OR 0.26 [95%CI 0.13–0.51], p < 0.001). At 2 years, outcomes did not differ significantly between groups.

Fig. 2
figure 2

Trajectories of A: mental health and cognition and B: physical function in ICU- and non-ICU-treated patients for COVID-19 up to 2 years after hospital discharge. Data are presented as estimated proportions or estimated means with standard errors obtained from Generalized Estimating Equations analysis. A Estimated proportions (patients with HADS-A ≥ 11 and HADS-D ≥ 11) and estimated means (total IES-R score and total CFQ score) are adjusted for age and sex, the fixed value for age was 60 years. B Data are presented as the percentage of normative values reached in 6MWT, 1MSTST, and HGS. Normative values in 6MWT are calculated using sex-, age-, height-, and weight-stratified equations described by Enright and Sherill [44], in 1MSTST using sex- and age-stratified reference values described by Strassman and colleagues [45], and in HGS using sex- and age-stratified reference values described by Dodds and colleagues [46]. We compared the 2-year trajectories between the ICU and non-ICU groups and the p value is presented above the horizontal brackets in each panel. A significant group difference at each time point is indicated by * < 0.05, ** < 0.01, and *** < 0.001. Within group trajectories are further presented in Supplementary Table S4. ICU Intensive Care Unit, HADS-A Hospital Anxiety and Depression Scale-subscale Anxiety, HADS-D Hospital Anxiety and Depression Scale-subscale Depression, IES-R Impact of Event Scale-Revised, CFQ Cognitive Failures Questionnaire, 6MWT 6 Min Walk Test, 6MWD 6 Min Walk Distance, 1MSTST 1 Min Sit-To-Stand Test, STS Sit-To-Stand, HGS Handgrip Strength

Objective study measurements

Total cohort

Cognitive and physical function, except for the DEMMI, outcomes improved significantly over time in the total cohort (Supplementary Table S5). At 2 years, 12% (57/464) of patients had cognitive deficits and patients reached 95% of norm in 6MWD, 83% in 1MSTST, and 108% in HGS, and the mean DEMMI score was 89/100.

ICU- vs. non-ICU-treated patients

On average, the ICU group had a significantly higher proportion of patients with desaturation ≥ 4% during the 6MWT (p < 0.001) and a lower mean percentage of norm HGS (p = 0.002) than the non-ICU group Supplementary Table S5). Over time, the ICU group showed significantly more improvement in the percentages of norm reached in the 6MWT (estimated mean difference 7.7% [95%CI 4.8–10.7], p < 0.001), 1MSTST (8.0% [3.7–12.3], p < 0.001), and HGS (10.0% [6.3–13.7], p < 0.001) compared to the non-ICU group (Fig. 2B); trajectories of cognitive function and DEMMI scores were comparable (Supplementary Table S5). At 2 years, the ICU group reached significantly higher levels in the percentage of norm 6MWD (estimated mean 96.7% [1.3] vs. 91.4% [1.3], p = 0.003) than the non-ICU group, but not in other cognitive and physical outcomes.

Routine follow-up data

The PFT parameters and radiographic abnormalities for the total cohort at each visit are shown in Supplementary Table S6. Patients without signs of residual radiological or pulmonary function abnormalities were discharged from regular follow-up. Fifty-five patients with poor initial pulmonary recovery underwent repeated PFT and radiographic imaging up to 2-year follow-up, showing significant continuous improvement in PFT parameters and radiographic abnormalities; however, the latter was not significant after Bonferroni correction (Supplementary Table S7).

Risk factors for long-term health problems after COVID-19

Over time (overall p < 0.001), the percentage of patients reporting complete recovery from COVID-19 increased; patients with pre-existing pulmonary disease were less likely to recover completely (OR 0.43 [95%CI 0.26–0.73], p = 0.002) (Fig. 3). No other factors were associated with complete recovery; recovery status did not differ between ICU- and non-ICU-treated patients. Forest plots presenting risk factors for fatigue, cognitive failures, sleep quality, and HRQoL are shown in Supplementary Figure S2. Female sex (beta 3.0 [95%CI 1.4–4.6], p < 0.001), pre-existing cardiovascular disease (1.9 [0.50–3.4], p = 0.008), and pulmonary disease (3.7 [2.1–5.3], p < 0.001) were associated with more fatigue; longer follow-up time (overall p < 0.001) and older age (− 0.10 [− 0.18 to − 0.01], p = 0.03) with less fatigue (Figure S2A). Female sex (7.5 [4.1–11.0], p < 0.001) and pre-existing pulmonary disease (7.6 [4.3–10.9], p < 0.001) were associated with more cognitive failures, older age (− 0.22 [− 0.39 to − 0.05], p = 0.01) and pre-existing obesity (− 3.1 [− 6.1 to − 0.002], p = 0.05) with less cognitive failures (Figure S2B). Female sex (1.8 [1.1–2.5], p < 0.001), non-European background (1.1 [0.3–1.9], p = 0.008), and pre-existing pulmonary disease (1.3 [0.6–2.0], p < 0.001) were associated with poorer sleep quality, longer follow-up time with better sleep quality (overall p = 0.01) (Figure S2C). Female sex (− 0.04 [− 0.08 to − 0.002], p = 0.04), non-European background (− 0.05 [− 0.09 to − 0.002], p = 0.04), being unemployed (vs employed, − 0.07 [− 0.12 to − 0.02], p = 0.009), pre-existing cardiovascular disease (− 0.04 [− 0.08 to − 0.01], p = 0.02), pre-existing pulmonary disease (− 0.11 [− 0.15 to − 0.06], p < 0.001), and a longer hospital stay (− 0.001 [− 0.002 to < − 0.001], p = 0.05) were associated with poorer HRQoL, and a longer follow-up time (overall p < 0.001) with better HRQoL (Figure S2D).

Fig. 3
figure 3

Forest plot presenting risk factors for self-reported recovery status from COVID-19. Data are obtained using multivariable Generalized Estimating Equations analysis. Recovery status from COVID-19 was assessed with the Core Outcome Measure for Recovery [21]. Recovery was dichotomized into complete recovered and not complete recovered (not recovered at all, somewhat recovered, half recovered, or mostly recovered). Adj OR adjusted odds ratio, CI confidence interval, ICU Intensive Care Unit, LOS length of stay (in days)

Discussion

In this multicenter cohort study we comprehensively evaluated long-term health outcomes in 650 patients hospitalized for COVID-19 up to 2 years post-discharge, including a comparison between ICU- and non-ICU-treated patients. Many health outcomes improved over time. Nonetheless, 73% of the patients had not completely recovered from COVID-19 at 2 years. Despite good physical recovery in most patients, long-term neurocognitive complaints, dyspnea, fatigue, and poor sleep quality persisted in many. ICU-treated patients tended to show slower recovery of neurocognitive symptoms, mental health outcomes, and resumption of work compared to non-ICU-treated patients, while showing more improvements in physical outcomes. Yet, overall, outcomes were comparable between groups at 2-year follow-up. Particularly female sex and pre-existing pulmonary disease were risk factors for poorer health outcomes.

In line with our previous findings [50], we found that ICU-treated patients showed more improvements in physical tests than non-ICU-treated patients. ICU-treated patients had the poorest post-discharge outcomes, with a higher potential for improvement. Moreover, they generally had good prior performance status, allowing them to survive ICU treatment. Last, most ICU-treated patients received intensive rehabilitation [50], resulting in reaching (near) normative levels over time, comparable to the total cohort, which may suggest adequate physical rehabilitation.

As for mental health, ICU-treated patients showed slower recovery in PTSD and there was a tendency toward increasing proportions of anxiety and depression over time compared with non-ICU-treated patients, in line with our previous findings [51] and those of another COVID-19 post-ICU cohort describing deteriorating mental health outcomes from 1 to 2 years of follow-up [52]. Thus, ICU-treated patients may require extended monitoring for long-term mental health issues beyond 2 years potentiating timely interventions.

Regarding neurocognitive problems, the proportion of patients with cognitive failures and symptoms of memory or concentration problems was comparable between groups at 2 years, being prevalent in our entire study group. However, cognitive failures tended to increase over time in ICU-treated patients, as did self-reported memory and concentration problems. Moreover, ICU-treated patients had significantly more difficulties resuming work, building on previous findings [53], potentially related to this higher neurocognitive symptom burden [54].

Our findings may suggest unmet needs regarding neurocognitive rehabilitation, emphasizing the need for further development of COVID-19 aftercare strategies. Notably, in the Netherlands, COVID-19 care pathways primarily anticipated physical problems, in contrast to mental and cognitive problems. As for future pandemics, proactive strategies using a comprehensive assessment of physical, mental, and cognitive functioning should be considered in aftercare strategies.

ICU treatment was not an independent risk factor for the selected long-term health problems in our study. In contrast, several studies have shown that more severe acute COVID-19 is associated with a higher risk for health problems beyond 1 year [4, 17]. This discrepancy may be attributed to heterogeneity in study populations, methodologies, and measurements. The increased rate of persistent complaints in ICU-treated patients is frequently attributed to the superimposed effects of the PICS. However, similar long-term health problems are also experienced by patients with a mild SARS-CoV-2 infection, who do not require ICU admission or hospitalization [55]. Therefore, it seems less plausible to attribute these long-term health problems to PICS [56].

The most important determinants for long-term health problems were female sex and pre-existing pulmonary disease. We consistently [4, 16] identified female sex as major risk factor, except for self-reported complete recovery. Contrary, the PHOSP-COVID study did find a negative association between female sex and complete recovery 1 year after hospitalization [2]. This difference may resolve beyond 1 year or be due to using a different recovery scale. As for underlying pulmonary disease, some studies showed that particularly patients with asthma are at risk for poorer health outcomes after COVID-19 [16]; unfortunately, our data did not allow differentiation of pulmonary diseases to assess this into more depth.

Last, we found non-European migration background to be associated with poorer sleep quality and HRQoL, but not with other health outcomes. A few studies on health problems after COVID-19 suggest that ethnic minorities are disproportionately impacted, but data from European countries are scarce [57]. As we do not unequivocally find a relation between migration background and the assessed health outcomes, it remains unclear whether the found associations were COVID-19 specific, or attributable to pre-existing social and health inequalities, and thus requires further study.

Overall, the vast majority of our patients (88%) reported at least one new or worsened COVID-19-related symptom 2 years post-discharge, compared to 55% to 84% in other reports [4, 13]. Consistently, impaired fitness, neurocognitive problems, fatigue, dyspnea, poor sleep quality, and reduced HRQoL were identified as most prominent health problems 2 years after hospitalization for COVID-19 [4, 13, 58].

Noteworthy, we observed some discrepancies between self-reported symptoms and objectively assessed outcomes, such as between dyspnea and pulmonary function, self-reported muscle weakness and HGS, and self-reported impaired fitness and objectively assessed aerobic capacity. Factors contributing to this disparity include individual interpretations and experiences of symptoms as well as insufficient understanding of the underlying biological etiology of persistent health problems after COVID-19. Self-reported measures might capture a broader range of sensations, whereas objective tests often focus on specific aspects of functioning. Nonetheless, the subjective experience of health problems is essential as it reflects the extent to which they hinder daily functioning and highlights the need for a better understanding of the etiology of the persistent problems [59].

Strengths of this study include its prospective multicenter design with 2-year follow-up of a large cohort of ICU- and non-ICU-treated patients, the comprehensive evaluation of both PROMs and objective measures, and high response rate (78% [509/650]) up to 2 years. We were able to perform multivariable analyses to identify risk factors for prominent health problems. Study limitations include the absence of control groups of individuals without COVID-19 and non-hospitalized individuals with COVID-19 and the inability to compare our outcomes with pre-COVID-19 levels, only to the first assessment and reference values. Since most patients were unvaccinated against COVID-19 prior to hospital admission, our findings might be less generalizable to those who had been vaccinated beforehand, as vaccination appears to reduce the risk of long-term health problems [60]. Selection bias might play a role in our study as we included a higher percentage of ICU patients (42%), due to high inclusion rate from an academic hospital, compared to the average ICU admissions across all Dutch hospitals (14%) which limits the representativeness of our cohort and might overestimate poor outcomes. However, this allowed for comparison between ICU- and non-ICU-treated patients on long-term health outcomes. We observed no noticeable disparity on health outcomes at 2 years between these groups; therefore, overestimation of poor outcomes is unlikely to play a major role. In addition, we lack data on the eligible recruitment population due to the surge of patients admitted to the participating centers. However, recruitment of study participants occurred independently of the patient’s recovery status and primarily depended on availability of research personnel. Moreover, our participant characteristics align with those of the average Dutch patients hospitalized for COVID-19 [18]. Also, as one of the inclusion criteria was sufficient knowledge of the Dutch or English language, ethnic minorities are somewhat underrepresented in our study compared to the demographics of the recruitment area. Nonetheless, the ethnic minority group still comprised 29% of the participants allowing for assessment of differences between ethnicity groups. Furthermore, severity of symptoms was only assessed at the 2-year follow-up, after we concluded that given the high prevalence of persisting symptoms, a more detailed longitudinal assessment would have been beneficial.

In conclusion, most health outcomes improved over the 2 years after hospitalization for COVID-19. Nonetheless, many patients suffer from long-term health problems, with neurocognitive symptoms, dyspnea, fatigue, and poor sleep quality among the most frequent problems at 2 years and a significant proportion of patients still report incomplete recovery. Despite slower recovery in some outcomes, most 2-year health outcomes were comparable between ICU- and non-ICU-treated patients. Generally, while physical rehabilitation seems adequate, there is a need for targeted aftercare strategies addressing a variety of long-term problems and continuous research into effective treatments, including more tailored rehabilitative support and pharmacological treatment options. Moreover, our study underlines the importance of prolonged follow-up to monitor recovery from COVID-19 beyond 2 years. Therefore, we extended our study with yearly follow-up, addressing in particular the main persisting health problems.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

COVID-19:

Coronavirus Disease 2019

ICU:

Intensive Care Unit

CO-FLOW:

COvid-19 Follow-up care paths and Long-term Outcomes Within the Dutch healthcare system

PROMs:

Patient-Reported Outcome Measures

GEE:

Generalized Estimating Equations

SD:

Standard Deviation

IQR:

Interquartile Ranges

Adj OR:

Adjusted Odds Ratio

CI:

Confidence Intervals

LOS:

Length Of Stay

PICS:

Post-Intensive Care Syndrome

NA:

Not Applicable

6MWT:

6 Min Walk Test

6MWD:

6 Min Walk Distance

1MSTST:

1 Min Sit-To-Stand Test

STS:

Sit-To-Stand

HGS:

Handgrip Strength

FAS:

Fatigue Assessment Scale

mMRC:

Modified Medical Research Council dyspnea scale

HADS-A:

Hospital Anxiety and Depression Scale-subscale Anxiety

HADS-D:

Hospital Anxiety and Depression Scale-subscale Depression

IES-R:

Impact of Event Scale-Revised

PTSD:

Posttraumatic Stress Disorder

CFQ:

Cognitive Failures Questionnaire

PSQI:

Pittsburgh Sleep Quality Index

BI:

Barthel Index

IFIS:

International Fitness Scale

IPAQ-SF:

International Physical Activity Questionnaire-Short Form

MET:

Metabolic Equivalent of Task

USER-P:

Utrecht Scale for Evaluation of Rehabilitation-Participation

iPCQ:

IMTA Productivity Cost Questionnaire

HRQoL:

Health-Related Quality of Life

EQ-5D-5L:

5-Level EuroQoL-5D questionnaires

EQ-VAS:

EQ-Visual Analogue Scale

SF-36:

36-Item Short Form Health Survey

FVC:

Forced Vital Capacity

LLN:

Lower Limit Of Normal

FEV1 :

Forced Expiratory Volume in 1 s

DLCOc:

Diffusing Capacity of the Lung for Carbon Monoxide adjusted for hemoglobin

GGO:

Ground-Glass Opacity

References

  1. WHO. WHO Coronavirus (COVID-19) Dashboard. Updated 13 Sept 2023. Accessed 18 Sept 2023. https://covid19.who.int/.

  2. Group P-CC. Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study. Lancet Respir Med. 2022;10(8):761–75.

    Article  Google Scholar 

  3. Bek LM, Berentschot JC, Heijenbrok-Kal MH, et al. Symptoms persisting after hospitalisation for COVID-19: 12 months interim results of the CO-FLOW study. ERJ Open Res. 2022;8(4)

  4. Huang L, Li X, Gu X, et al. Health outcomes in people 2 years after surviving hospitalisation with COVID-19: a longitudinal cohort study. Lancet Respir Med. 2022;10(9):863–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Malik P, Patel K, Pinto C, et al. Post-acute COVID-19 syndrome (PCS) and health-related quality of life (HRQoL)—a systematic review and meta-analysis. J Med Virol. 2022;94(1):253–62.

    Article  CAS  PubMed  Google Scholar 

  6. Tene L, Bergroth T, Eisenberg A, David SSB, Chodick G. Risk factors, health outcomes, healthcare services utilization, and direct medical costs of patients with long COVID. Int J Infect Dis. 2023;128:3–10.

    Article  PubMed  Google Scholar 

  7. Fernández-de-Las-Peñas C, Martín-Guerrero JD, Cancela-Cilleruelo I, Moro-López-Menchero P, Rodríguez-Jiménez J, Pellicer-Valero OJ. Exploring the trajectory recovery curve of the number of post-COVID symptoms: the LONG-COVID-EXP-CM Multicenter Study. Int J Infect Dis. 2022;117:201–3.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Seeßle J, Waterboer T, Hippchen T, et al. Persistent symptoms in adult patients 1 year after coronavirus disease 2019 (COVID-19): a prospective cohort study. Clin Infect Diseases. 2021;74(7):1191–8.

    Article  Google Scholar 

  9. Yang X, Hou C, Shen Y, et al. Two-year health outcomes in hospitalized COVID-19 survivors in China. JAMA Netw Open. 2022;5(9):e2231790.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Shen Q, Joyce EE, Ebrahimi OV, et al. COVID-19 illness severity and 2-year prevalence of physical symptoms: an observational study in Iceland, Sweden, Norway and Denmark. Lancet Reg Health Eur. 2023;35: 100756.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ballouz T, Menges D, Anagnostopoulos A, et al. Recovery and symptom trajectories up to two years after SARS-CoV-2 infection: population based, longitudinal cohort study. BMJ. 2023;381:e074425.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Needham DM, Davidson J, Cohen H, et al. Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders’ conference*. Crit Care Med. 2012;40(2):502–9.

    Article  PubMed  Google Scholar 

  13. Wahlgren C, Forsberg G, Divanoglou A, et al. Two-year follow-up of patients with post-COVID-19 condition in Sweden: a prospective cohort study. Lancet Reg Health Eur. 2023;28: 100595.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Vlake JH, Wesselius S, van Genderen ME, van Bommel J, Boxma-de Klerk B, Wils EJ. Psychological distress and health-related quality of life in patients after hospitalization during the COVID-19 pandemic: a single-center, observational study. PLoS ONE. 2021;16(8): e0255774.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Dirican E, Bal T. COVID-19 disease severity to predict persistent symptoms: a systematic review and meta-analysis. Prim Health Care Res Dev. 2022;23: e69.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Tsampasian V, Elghazaly H, Chattopadhyay R, et al. Risk factors associated with post-COVID-19 condition: a systematic review and meta-analysis. JAMA Intern Med. 2023;183(6):566–80.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Musheyev B, Boparai MS, Kimura R, et al. Longitudinal medical subspecialty follow-up of critically and non-critically ill hospitalized COVID-19 survivors up to 24 months after discharge. Intern Emerg Med. 2023;18(2):477–86.

    Article  PubMed  PubMed Central  Google Scholar 

  18. NICE. COVID-19 op de Nederlandse verpleegafdelingen; Patiëntkarakteristieken en uitkomsten. Updated 30 Mar 2023. Accessed 1 May 2024. https://stichting-nice.nl/.

  19. Bek LM, Berentschot JC, Hellemons ME, et al. CO-FLOW: COvid-19 Follow-up care paths and Long-term Outcomes Within the Dutch health care system: study protocol of a multicenter prospective cohort study following patients 2 years after hospital discharge. BMC Health Serv Res. 2021;21(1):1–10.

    Article  Google Scholar 

  20. Grimby G, Börjesson M, Jonsdottir IH, Schnohr P, Thelle DS, Saltin B. The, “Saltin-Grimby Physical Activity Level Scale” and its application to health research. Scand J Med Sci Sports. 2015;25(Suppl 4):119–25.

    Article  PubMed  Google Scholar 

  21. Tong A, Baumgart A, Evangelidis N, et al. Core outcome measures for trials in people with coronavirus disease 2019: respiratory failure, multiorgan failure, shortness of breath, and recovery. Crit Care Med. 2021;49(3):503–16.

    Article  PubMed  PubMed Central  Google Scholar 

  22. de Kleijn WP, De Vries J, Wijnen PA, Drent M. Minimal (clinically) important differences for the Fatigue Assessment Scale in sarcoidosis. Respir Med. 2011;105(9):1388–95.

    Article  PubMed  Google Scholar 

  23. Williams N. The MRC breathlessness scale. Occup Med (Lond). 2017;67(6):496–7.

    Article  PubMed  Google Scholar 

  24. Fletcher CM, Elmes PC, Fairbairn AS, Wood CH. Significance of respiratory symptoms and the diagnosis of chronic bronchitis in a working population. BMJ. 1959;2(5147):257.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Herrmann C. International experiences with the Hospital Anxiety and Depression Scale—a review of validation data and clinical results. J Psychosom Res. 1997;42(1):17–41.

    Article  CAS  PubMed  Google Scholar 

  26. Weiss DS, Marmar CR, Wilson JP, Keane TM. Assessing psychological trauma and PTSD. In: The Impact of Events Scale—Revised. 1997;19:399–411.

  27. Zilberg NJ, Weiss DS, Horowitz MJ. Impact of Event Scale: a cross-validation study and some empirical evidence supporting a conceptual model of stress response syndromes. J Consult Clin Psychol. 1982;50(3):407–14.

    Article  CAS  PubMed  Google Scholar 

  28. Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The Cognitive Failures Questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21(1):1–16.

    Article  CAS  PubMed  Google Scholar 

  29. Ponds R, Boxtel M, Jolles J. De “Cognitive Failure Questionnaire” als maat voor subjectief cognitief functioneren. Tijdschrift voor Neuropsychologie. 2006;1:37–45.

    Google Scholar 

  30. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    Article  CAS  PubMed  Google Scholar 

  31. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md State Med J. 1965;14:61–5.

    CAS  PubMed  Google Scholar 

  32. Merellano-Navarro E, Collado-Mateo D, García-Rubio J, Gusi N, Olivares PR. Validity of the International Fitness Scale “IFIS” in older adults. Exp Gerontol. 2017;95:77–81.

    Article  PubMed  Google Scholar 

  33. Vandelanotte C, Bourdeaudhuij I, Philippaerts R, Sjostrom M, Sallis JF. Reliability and validity of a computerized and dutch version of the international physical activity questionnaire (IPAQ). J Phys Act Health. 2005;2:63–75.

    Article  Google Scholar 

  34. Post MW, van der Zee CH, Hennink J, Schafrat CG, Visser-Meily JM, van Berlekom SB. Validity of the Utrecht scale for evaluation of rehabilitation–participation. Disabil Rehabil. 2012;34(6):478–85.

    Article  PubMed  Google Scholar 

  35. Bouwmans C, Krol M, Severens H, Koopmanschap M, Brouwer W, Hakkaart-van RL. The iMTA Productivity Cost Questionnaire: a standardized instrument for measuring and valuing health-related productivity losses. Value Health. 2015;18(6):753–8.

    Article  PubMed  Google Scholar 

  36. EuroQol G. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208.

    Article  Google Scholar 

  37. Aaronson NK, Muller M, Cohen PD, et al. Translation, validation, and norming of the Dutch language version of the SF-36 Health Survey in community and chronic disease populations. J Clin Epidemiol. 1998;51(11):1055–68.

    Article  CAS  PubMed  Google Scholar 

  38. Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.

    Article  PubMed  Google Scholar 

  39. Laboratories ATSCoPSfCPF. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002;166(1):111–7.

  40. Koufaki P, Mercer TH, Naish PF. Effects of exercise training on aerobic and functional capacity of end-stage renal disease patients. Clin Physiol Funct Imaging. 2002;22(2):115–24.

    Article  PubMed  Google Scholar 

  41. Bohannon RW. Muscle strength: clinical and prognostic value of hand-grip dynamometry. Curr Opin Clin Nutr Metab Care. 2015;18(5):465–70.

    Article  PubMed  Google Scholar 

  42. de Morton NA, Davidson M, Keating JL. The de Morton Mobility Index (DEMMI): an essential health index for an ageing world. Health Qual Life Outcomes. 2008;6:63.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sommers J, Vredeveld T, Lindeboom R, Nollet F, Engelbert RHH, van der Schaaf M. de Morton Mobility Index is feasible, reliable, and valid in patients with critical illness. Phys Ther. 2016;96(10):1658–66.

    Article  PubMed  Google Scholar 

  44. Enright PL, Sherrill DL. Reference equations for the six-minute walk in healthy adults. Am J Respir Crit Care Med. 1998;158(5):1384–7.

    Article  CAS  PubMed  Google Scholar 

  45. Strassmann A, Steurer-Stey C, Dalla Lana K, et al. Population-based reference values for the 1-min sit-to-stand test. Int J Public Health. 2013;58(6):949–53.

    Article  PubMed  Google Scholar 

  46. Dodds RM, Syddall HE, Cooper R, et al. Grip strength across the life course: normative data from twelve British studies. PLoS ONE. 2014;9(12): e113637.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Graham BL, Brusasco V, Burgos F, et al. 2017 ERS/ATS standards for single-breath carbon monoxide uptake in the lung. Eur Respir J. 2017;49(1):1600016.

    Article  PubMed  Google Scholar 

  48. Stanojevic S, Graham BL, Cooper BG, et al. Official ERS technical standards: Global Lung Function Initiative reference values for the carbon monoxide transfer factor for Caucasians. Eur Respir J. 2017;50(3):1700010.

    Article  PubMed  Google Scholar 

  49. Quanjer PH, Stanojevic S, Cole TJ, et al. Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations. Eur Respir J. 2012;40(6):1324–43.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Berentschot JC, Heijenbrok-Kal MH, Bek LM, et al. Physical recovery across care pathways up to 12 months after hospitalization for COVID-19: a multicenter prospective cohort study (CO-FLOW). Lancet Reg Health Eur. 2022;22: 100485.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Bek LM, Hellemons ME, Berentschot JC, et al. Cognitive and psychological recovery patterns across different care pathways 12 months after hospitalization for COVID-19: a multicenter cohort study (CO-FLOW). Ann Phys Rehabil Med. 2023;66(5): 101737.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Heesakkers H, van der Hoeven JG, van den Boogaard M, Zegers M, Group M-Ir. Two-year physical, mental and cognitive outcomes among intensive care unit survivors treated for COVID-19. Intensive Care Med. 2023;49(5):597–9.

    Article  PubMed  PubMed Central  Google Scholar 

  53. van Veenendaal N, van der Meulen IC, Onrust M, Paans W, Dieperink W, van der Voort PHJ. Six-month outcomes in COVID-19 ICU patients and their family members: a prospective cohort study. Healthcare (Basel). 2021;9(7):865.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Bek LM, Berentschot JC, Hellemons ME, et al. Return to work and health-related quality of life up to 1 year in patients hospitalized for COVID-19: the CO-FLOW study. BMC Med. 2023;21(1):380.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Davis HE, McCorkell L, Vogel JM, Topol EJ. Long COVID: major findings, mechanisms and recommendations. Nat Rev Microbiol. 2023;21(3):133–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Ely EW, Brown LM, Fineberg HV, National Academies of Sciences E, Medicine Committee on Examining the Working Definition for Long C. Long Covid Defined. N Engl J Med. 2024.

  57. Norredam M, Hayward S, Deal A, Agyemang C, Hargreaves S. Understanding and addressing long-COVID among migrants and ethnic minorities in Europe. Lancet Reg Health Eur. 2022;19: 100427.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Jackson C, Stewart ID, Plekhanova T, et al. Effects of sleep disturbance on dyspnoea and impaired lung function following hospital admission due to COVID-19 in the UK: a prospective multicentre cohort study. Lancet Respir Med. 2023;11(8):673–84.

    Article  PubMed  Google Scholar 

  59. Li J, Zhou Y, Ma J, et al. The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID. Signal Transduct Target Ther. 2023;8(1):416.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Català M, Mercadé-Besora N, Kolde R, et al. The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia. Lancet Respir Med. 2024;12(3):225–36.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank all CO-FLOW study participants for their time and effort. They thank

G.W.M. Broeren, R.M.B. Imkamp, J.H.H. Andela, L.E. Bierman, T.E. Huijboom, C. Lückerath, E.A. Luijckx, L. Kapitein, S.L. Roovers, I. Simons, and L. van Veggel (all affiliated at Erasmus MC, University Medical Center Rotterdam, the Netherlands) for their research assistance.

CO-FLOW Collaboration Group

Joachim G. J. V. Aerts (Department of Respiratory Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands) L. Martine Bek (Department of Rehabilitation Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands), Julia C. Berentschot (Department of Respiratory Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands), Rita J. G. van den Berg-Emons (Department of Rehabilitation Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands), SieshemBindraban (Department of Respiratory Medicine, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands), Wouter J. B. Blox (Department of Respiratory Medicine, Albert Schweitzer Hospital, Dordrecht, The Netherlands), Jasper van Bommel (Department of Adult Intensive Care Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands), Shai A. Gajadin (Department of Respiratory Medicine, IJsselland Hospital, Capelle aan de IJssel, The Netherlands), Michel E. van Genderen (Department of Adult Intensive Care Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands), Diederik A. M. P. J. Gommers (Department of Adult Intensive Care Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands), Majanka H. Heijenbrok-Kal (Department of Rehabilitation Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands; Rijndam Rehabilitation, Rotterdam, The Netherlands), Merel E. Hellemons (Department of Respiratory Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands), Roxane Heller (Department of Respiratory Medicine, Ikazia Hospital, Rotterdam, The Netherlands), Erwin Ista (Departments of Pediatrics and Pediatric Surgery, Intensive Care Unit, Erasmus MC Sophia Children’s Hospital Rotterdam, The Netherlands; Department of Internal Medicine, section Nursing Science, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands), Stephanie van Loon-Kooij (Department of Respiratory Medicine, Reinier de Graaf Gasthuis, Delft, The Netherlands), Chantal Luijkx (Rijndam Rehabilitation, Rotterdam, The Netherlands), Rutger Osterthun (Department of Rehabilitation Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands; Rijndam Rehabilitation, Rotterdam, The Netherlands), Laurien Oswald (Department of Respiratory Medicine, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands), Gerard M. Ribbers (Department of Rehabilitation Medicine, Erasmus MC, Erasmus University Medical Center Rotterdam, The Netherlands; Rijndam Rehabilitation, Rotterdam, The Netherlands), Ronald N. van Rossem (Department of Respiratory Medicine, Reinier de Graaf Gasthuis, Delft, The Netherlands), Herbert J. van de Sande (Aafje Nursing Home, Rotterdam, The Netherlands), Robert van der Stoep (Department of Physical Therapy, Erasmus MC, University Medical Center Rotterdam, The Netherlands), Janette J. Tazmi-Staal (Laurens Intermezzo, Rotterdam, The Netherlands), Markus P. J. M. Wijffels (Rijndam Rehabilitation, Rotterdam, The Netherlands), Eva G. Willems (Laurens Intermezzo, Rotterdam, The Netherlands).

Funding

This work is funded by the COVID-19 Program Care and Prevention of The Netherlands Organization for Health Research and Development (ZonMw, Grant number 10430022010026), and Rijndam Rehabilitation and Laurens (both in Rotterdam, The Netherlands). The COVID-19 review committee of the funding body independently reviewed the study protocol. Significant protocol modifications required approval from ZonMw. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the paper.

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Contributions

JB and LB shared first authorship and MH and RBE shared senior authorship, contributing equally to this paper. All authors were involved in the study design and had full access to the data in the study. All authors and members of the CO-FLOW Collaboration Group contributed to the acquisition, analysis, or interpretation of data. JB, LB, MHK, MH, and RBE drafted the manuscript. JB, LB, and MHK performed the statistical analysis. All authors and members of the CO-FLOW Collaboration Group critically revised and approved the manuscript. MHK, MH, and RBE provided supervision.

Corresponding author

Correspondence to J. C. Berentschot.

Ethics declarations

Ethics approval and consent to participate

The COvid-19 Follow-up care paths and Long-term Outcomes Within the Dutch healthcare system (CO-FLOW) study with trial register no. NL8710 (registered on the WHO ICTRP) was approved by the Medical Ethics Committee of the Erasmus MC, University Medical Center Rotterdam (MEC-2020-0487). All participants provided informed consent before data collection.

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The authors declare that they have no competing interests related to this paper.

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Supplementary Information

40560_2024_748_MOESM1_ESM.docx

Additional file 1: Figure S1. Flowchart of COVID-19 patients that received post-discharge follow-up in the hospital. The first follow-up visit was generally scheduled around 6 weeks post-discharge. For patients with persistent residual pulmonary abnormalities, follow-up was continued around 3 months, 6 months, 1 year, and 2 years after hospital discharge. After each visit, patients with no or minimal residual pulmonary abnormalities were discharged from further follow-up. Pulmonary function test (PFT) comprised the assessment of spirometry and/or gas exchange. Figure S2. Forest plots presenting risk factors of A: fatigue, B: cognitive failures, C: sleep quality, and D: EQ-5D index value. Data are obtained using multivariable Generalized Estimating Equations analysis. Fatigue was assessed with the Fatigue Assessment Scale, the total FAS score ranges from 0 to 50 with higher scores representing more symptoms of fatigue. Cognitive failures were assessed with the Cognitive Failures Questionnaire, the total CFQ score ranges from 0 to 100 with higher scores representing more cognitive failures. Sleep quality was assessed with the Pittsburgh Sleep Quality Index, the total PSQI score ranges from 0 to 21 with higher scores representing poorer sleep quality. Health-related quality of life was assessed with the 5-level EuroQoL-5D questionnaire, a EQ-5D index value of 0 indicates death and 1 perfect health; negative scores indicate a health status worse than death. Adj β, Adjusted Beta; CI, Confidence Interval; ICU, Intensive Care Unit; LOS, Length Of Stay. Table S1. Trajectories of self-reported recovery and symptoms in ICU- and non-ICU-treated patients for COVID-19 up to 2 years after hospital discharge. Table S2. The severity of symptoms in COVID-19 patients at 2 years after hospital discharge. Table S3A. Categorical outcomes on the mMRC dyspnea scale, IFIS, and recovery status questionnaires in patients with COVID-19 up to 2 years after hospital discharge. Table S3B. Domain scores of the EQ-5D-5L and SF-36 questionnaires in patients with COVID-19 up to 2 years after hospital discharge. Table S4. Trajectories of mental health and physical function up to 2 years after hospitalization within ICU- and non-ICU-treated COVID-19 patients. Table S5. Outcomes of objectively assessed cognitive and physical function in COVID-19 patients up to 2 years after hospital discharge. Table S6. Pulmonary function testing and radiologic outcomes in the total cohort up to 2 years after hospitalization for COVID-19. Table S7. Pulmonary function testing and radiological outcomes in 55 patients with initial poor pulmonary recovery who continued follow-up up to 2 years after hospitalization for COVID-19

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Berentschot, J.C., Bek, L.M., Heijenbrok-Kal, M.H. et al. Long-term health outcomes of COVID-19 in ICU- and non-ICU-treated patients up to 2 years after hospitalization: a longitudinal cohort study (CO-FLOW). j intensive care 12, 47 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40560-024-00748-w

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