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Research ArticleFree Access

Long-term effects of COVID-19 on lungs and the clinical relevance: a 6-month prospective cohort study

    Gulsah Tuncer

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Ceyda Geyiktepe-Guclu

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Serkan Surme

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    Department of Medical Microbiology, Institute of Graduate Studies, Istanbul University–Cerrahpasa, Istanbul, 34098, Turkey

    ,
    Evren Canel-Karakus

    Department of Pulmonary Medicine, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Hatice Erdogan

    Department of Microbiology & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Osman F Bayramlar

    *Author for correspondence: Tel.: +90 553 978 8313;

    E-mail Address: obayramlar@istanbul.edu.tr

    Department of Public Health, Bakirkoy District Health Directorate, Istanbul, 34140, Turkey

    ,
    Cansu Belge

    Department of Radiology, Health Sciences University, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Ridvan Karahasanoglu

    Department of Radiology, Health Sciences University, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Betul Copur

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Meltem Yazla

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Esra Zerdali

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Inci Y Nakir

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Nihal Yildirim

    Department of Pulmonary Medicine, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Bedriye Kar

    Department of Pulmonary Medicine, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Mediha Bozkurt

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Kubra Karanalbant

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Burcu Atasoy

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Hindirin Takak

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Serap Simsek-Yavuz

    Department of Infectious Diseases & Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093, Turkey

    ,
    Rustu Turkay

    Department of Radiology, Health Sciences University, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Mehmet M Sonmez

    Department of Orthopedic Surgery & Traumatology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    ,
    Gonul Sengoz

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    &
    Filiz Pehlivanoglu

    Department of Infectious Diseases & Clinical Microbiology, Haseki Training & Research Hospital, Istanbul, 34096, Turkey

    Published Online:https://doi.org/10.2217/fmb-2022-0121

    Abstract

    Background: We aimed to explore the prevalence of prolonged symptoms, pulmonary impairments and residual disease on chest tomography (CT) in COVID-19 patients at 6 months after acute illness. Methods: In this prospective, single-center study, hospitalized patients with radiologically and laboratory-confirmed COVID-19 were included. Results: A high proportion of the 116 patients reported persistent symptoms (n = 54; 46.6%). On follow-up CT, 33 patients (28.4%) demonstrated residual disease. Multivariate analyses revealed that only neutrophil-to-lymphocyte ratio was an independent predictor for residual disease. Conclusion: Hospitalized patients with mild/moderate COVID-19 still had persistent symptoms and were prone to develop long-term pulmonary sequelae on chest CT. However, it did not have a significant effect on long-term pulmonary functions.

    COVID-19, caused by the coronavirus SARS-CoV-2, has resulted in serious complications and unexplored long-term consequences in some patients which are collectively known as ‘long COVID’ [1]. Long COVID has raised several concerns, as well as resulting in a significant healthcare burden. Some studies have shown that SARS-CoV-2 has a similar effect on the respiratory system to those of other coronaviruses and viral infectious agents, and patients with COVID-19 pneumonia may have functional problems in the pulmonary system and demonstrate residual radiological findings [1].

    Although the clinical features and acute complications of COVID-19 are well known, its long-term effects after recovery from acute disease remain unclear. Therefore, studies on long-term effects of COVID-19, including chronic persistent symptoms or declined lung functions and impairments in lung capacity, are needed [2].

    Imaging is suggested for patients with the presence of persistent symptoms or functional pulmonary impairment weeks after symptom onset [1,3]. Some studies have suggested that lung sequelae after recovery occur in certain patients [1,4], while others have not found any significant pulmonary sequelae [5].

    In this study we aimed to explore the prevalence of prolonged symptoms, pulmonary impairments and residual disease on chest computed tomography (CT) in COVID-19 patients after recovery from acute illness. In addition, we investigated the predictors for residual pulmonary disease.

    Patients & methods

    Patient population

    In this prospective, single-center study, hospitalized patients with radiologically and laboratory-confirmed COVID-19 between 11 March 2020 and 11 April 2020, when the α variant of SARS-CoV-2 was dominant, were included. We excluded outpatients and asymptomatic patients. Because mechanical ventilation may cause additional sequelae in the lungs, patients with COVID-19 requiring mechanical ventilation during their hospital stay were also excluded. None of the patients were vaccinated against SARS-CoV-2. For laboratory confirmation, oropharyngeal or nasopharyngeal swab samples were obtained and tested by RT-PCR.

    Patients with mild COVID-19 were defined as those with any signs and symptoms of COVID-19 including respiratory rate <30/min and peripheral capillary oxygen saturation >93%, but who did not have dyspnea. Patients with moderate COVID-19 were defined as those with any signs and symptoms of COVID-19 including dyspnea or peripheral capillary oxygen saturation >93% [6,7].

    All patients with moderate or severe COVID-19 were hospitalized. Patients who had mild disease but who were older than 50 years or who had any of the following risk factors were also hospitalized according to the Republic of Turkey’s Ministry of Health COVID-19 Guidelines during the first period of the COVID-19 pandemic [8]:

    • Being older than 50 years;

    • Having underlying diseases (cardiovascular disease, diabetes mellitus, hypertension, cancer, chronic lung diseases or other immunosuppressive conditions);

    • Having severe pneumonia indicators (confusion or tachycardia >125 BPM);

    • Having respiratory distress or tachypnea (>30/min) or hypotension <90/60 mmHg or SpO2 <93% or bilateral diffused involvement on lung imaging;

    • Having sepsis or septic shock;

    • Having cardiomyopathies or arrhythmia;

    • Having acute renal failure;

    • Having poor prognostic indicators in blood analyses at admission (blood lymphocyte count <800/μl or serum C-reactive protein (CRP) >40 mg/l or ferritin >500 ng/ml or D-dimer >1000 ng/ml etc.).

    Assessment during hospital stay

    Demographic characteristics, clinical features, physical examination findings, laboratory parameters, radiological findings and short-term outcomes were retrospectively collected from medical records. However, the patients were prospectively followed up after discharge.

    Assessment at follow-up

    Eligible patients were invited by phone to provide a follow-up at 6 months after hospital discharge. Two phone reminders were performed for non-respondents.

    Patients were followed-up at the COVID-19 outpatient clinics for 6 months after discharge. A standardized datasheet form with a questionnaire including questions relating to persistent symptoms, vital signs and St George’s Respiratory Questionnaire (SGRQ) was filled out for each patient. Spirometry, peripheral capillary oxygen saturation (SpO2) and low-dose CT scan were performed 6 months after discharge. All patients underwent CT, and 98 patients underwent SGRQ and spirometry. Blood samples were obtained for laboratory parameters and serum antibody measurement on all patients.

    Symptom questionnaire

    Symptoms at admission and newly occurring, persistent or worsening symptoms during the follow-up were assessed. Vital signs including body temperature, respiratory rate, SpO2 and heart rate were recorded.

    Laboratory examinations

    Laboratory parameters including hemoglobin, hematocrit, leukocyte/neutrophil/lymphocyte/platelet counts, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), glucose, urea, creatinine, aspartate aminotransferase, alanine aminotransferase (ALT), lactate dehydrogenase, CRP, procalcitonin, ferritin, troponin and D-dimer were examined at admission, discharge and 6 months after.

    St George's Respiratory Questionnaire

    Quality of life was assessed using the SGRQ, which is scaled from 0 (optimal health) to 100 (worst health). The SGRQ has three main subscales: the symptom subscale evaluates respiratory symptoms, the activity subscale evaluates the physical activity which causes or is limited by dyspnea, and the impact subscale evaluates social functioning and psychological disorders due to pulmonary problems [9,10].

    Pulmonary function measurement

    Spirometry was performed for all participants to measure the forced expiratory volume in 1 s (FEV1), the forced vital capacity (FVCex) and the FEV1-to-FVCex ratio.

    Chest CT

    Low-dose and thin-section chest CT scans were performed in all cases. Chest CT scans were reviewed by two radiologists who were unaware of the participants’ clinical condition. For baseline chest CT evaluation at admission, pulmonary findings on chest CT scans were scored to estimate pulmonary involvement [11]. A complete resolution was defined as no residual finding on chest CT.

    Serological tests

    Serological tests were performed using the Siemens semiquantitative ADVIA Centaur® SARS-CoV-2 IgG kit (Siemens, USA). Detection of anti-SARS-CoV-2 IgG was confirmed by the presence of antibodies against the spike glycoprotein receptor-binding domain (S1 RBD). The method was a two-step fully automated sandwich immunoassay using chemiluminescence technology. The detection range of the kit was 0.50–150.00 index, where values ≥1 U/ml were considered positive and values <1 U/ml were considered negative. The unit recommended by the WHO was stated as 1 BAU/ml = 21.8 U/ml [12].

    Outcome measures

    The primary outcome was the presence of residual pulmonary abnormalities at 6-month follow-up. The secondary outcomes were persistent symptoms, laboratory parameters, lung function, SGRQ scores, anti-SARS-CoV-2 IgG seropositivity and antibody titers at the 6-month follow-up.

    Statistical analysis

    Continuous variables were described as median ± interquartile range (IQR), while categorical variables were described as numbers and percentages. χ-square and Fisher’s exact tests were used to compare categorical variables. The closeness of the median and mean values of the normal distribution was evaluated according to the box plot analysis, the result of the Kolmogorov–Smirnov test and kurtosis–skewness values. While the independent sample t-test was used for variables with normal distribution, the Mann–Whitney U test was used for variables with non-normal distribution. Power analysis was done using the G*Power v. 3.1.9.6 (University of Kiel, Kiel, Germany) program. In this power analysis, the power was 80%, the α error was 0.05, and the effect size was 0.3; the required minimum sample size was 94. We performed univariate analysis and multivariate logistic regression analyses. For residual pulmonary sequelae, receiver operating characteristic (ROC) curves were obtained and area under the curve, optimal cutoff values, sensitivities and specificities were demonstrated. Odds ratio (OR) values with 95% CIs were calculated. SPSS v. 22.0 (IBM Corp., NY, USA) was used for statistical analyses. A p-value <0.05 was considered statistically significant.

    Results

    A total of 500 patients were called by phone. A total of 116 patients admitted to our outpatient clinic for follow-up examination 6 months after hospital discharge were included (Supplementary Figure 1). The median age was 52 (IQR: 42–61) years, and 58 patients (50%) were female. Baseline characteristics and well-recognized risk factors for severe COVID-19 hospitalization are described in Supplementary Table 1.

    The most common symptoms on admission were weakness (n = 86; 74.1%), cough (n = 76; 65.5%), dyspnea (n = 73; 63%), myalgia (n = 67; 57.8%) and fever (n = 63; 54.3%). At follow-up examination 6 months after acute infection, only 62 patients (53.4%) were completely free of any COVID-19-related symptom, while 48 (41.4%) had one or two symptoms, and six patients (5.2%) had three or more. At 6 months after symptom onset, 33 patients (28.4%) had more than one symptom. A high proportion of the 116 patients reported persistent symptoms (n = 54; 46.6%), which included: weakness (n = 28; 24%), dyspnea (n = 23; 19.8%), anxiety (n = 8; 6.9%), chest pain (n = 8; 7%), alopecia (n = 5; 4.3%), ageusia (n = 4; 3.5%); back pain (n = 4; 3.5%), cough (n = 3; 2.6%), myalgia (n = 3; 2.6%), arthralgia (n = 2; 1.7%), amnesia (n = 2; 1.7%), anosmia (n = 1; 0.9%) and sleep difficulties (n = 1; 0.9%) (Figure 1).

    Figure 1. Clinical signs and symptoms of patients with COVID-19 pneumonia.

    Even though the median levels of leukocyte count, neutrophil count, platelet count, hemoglobin, hematocrit, aspartate aminotransferase, ALT and creatinine at hospital admission were in the normal range, the median levels of these parameters at 6 months were lower than the normal range. At hospital admission, median values of D-dimer (510 mg/l; IQR: 320–840), lactate dehydrogenase (254 UI/l; IQR: 216–318), CRP (23.5 mg/dl; IQR: 11–56) and ferritin (132 ng/l; IQR: 75–232) were higher than the upper limits (Table 1).

    Table 1. Vital signs and laboratory parameters of patients with COVID-19 pneumonia.
    Vital parameters, median (IQR)Admission, n (%)Discharge, n (%)6 months, n (%)p-value
    SpO2 (%)95 (94–97)96 (95–97)97 (96–98)<0.001
    Body temperature (°C)36.6 (36.2–37)36.4 (36.2–36.6)36.2 (36–36.5)<0.001
    Respiratory (rate/min)23 (20–24)20 (19–21)18 (16–20)<0.001
    Heart (rate/min)84 (76–96)79 (75–88)80 (73–87)<0.001
    Laboratory parameters, median (IQR)
    Leukocyte (count/mm)35580 (4500–7300)6150 (4890–8030)6595 (5800–7685)<0.001
    Neutrophil (count/mm)33195 (2610–4855)3700 (2800–5380)3845 (3135–4550)0.03
    Lymphocyte (count/mm)31415 (1120–1975)1710 (1410–2260)2040 (1605–2685)<0.001
    Platelet (count/mm)3205 (161–249)305 (226–391)245 (212–285)<0.001
    Neutrophil-to-lymphocyte ratio2.37 (1.58–3.54)2.09 (1.56–3.27)1.82 (1.35–2.49)<0.001
    Platelet-to-lymphocyte ratio0.14 (0.11–0.19)0.18 (0.13–0.23)0.12 (0.09–0.16)<0.001
    Hemoglobin (g/dl)13.2 (12.1–14.3)12.3 (11.4–13.5)14 (12.3–15.1)<0.001
    Hematocrit (g/dl)38.7 (36–41.2)36.5 (33.8–39.2)41.2 (37.6–45)<0.001
    Urea (mmol/l)27 (21–37)27 (19–34.4)30 (24–35)0.232
    Creatinine (mg/dl)0.82 (0.7–0.1)0.71 (0.59–0.9)0.8 (0.69–0.94)0.032
    AST (UI/l)32 (24–45)36 (26–55)20 (15–23)<0.001
    ALT (UI/l)25 (16–46)44 (25–83)19 (15–27)<0.001
    LDH (UI/l)254 (216–318)246 (206–309)191 (175–209)<0.001
    Ferritin (ng/l)132 (75–232)101 (59–191)50 (23–98)<0.001
    CRP (mg/l)23.5 (11–56)7.9 (2.8–21)2.1 (1.35–5)<0.001
    Troponin (ng/l)4.3 (3–9)2.4 (2.1–5.4)
    Procalcitonin (ng/ml)0.05 (0.03–0.1)0.04 (0.02–0.05)
    D-dimer (mg/l)0.51 (0.32–0.84)0.64 (0.35–1.19)0.33 (0.25–0.5)<0.001

    †p < 0.05.

    ‡p < 0.001.

    AST: Aspartate aminotransferase; ALT: Alanine aminotransferase; CRP: C-reactive protein; IQR: Interquartile range; LDH: Lactate dehydrogenase.

    On admission, 110 patients (94.74%) had bilateral opacities and six (5.26%) had unilateral opacities on initial CT. On follow-up CT, 22 patients (19.47%) had bilateral opacities and 11 (9.73%) had unilateral opacities. The most common radiological finding on chest CT at hospital admission was ground-glass opacity (n = 107; 93.9%), followed by consolidation (n = 23; 20.18%), atelectasis (n = 11; 9.65%) and air bronchogram (n = 8; 7.02%). On follow-up CT, 83 patients (71.6%) demonstrated complete resolution of pulmonary parenchymal lesions and 33 (28.4%) demonstrated residual disease. The most common radiological findings in patients with residual disease were fibrosis (n = 16; 14.54%), atelectasis (n = 15; 13.4%), ground-glass opacity (n = 7; 6.25%), pulmonary nodules and mediastinal lymphadenopathy (n = 5; 4.42%) (Table 2). One-third of the 83 patients (n = 37; 33.3%) with complete resolution had at least one symptom, including 15 patients (40.5%) with mild dyspnea and seven (18.9%) with mild chest pain. Just over one-half (n = 18; 54.5%) of the 33 patients with residual disease had at least one symptom, including eight patients (34.8%) with mild dyspnea and one (12.5%) with mild chest pain.

    Table 2. Chest computed tomography findings and SARS-CoV-2 test results of patients with COVID-19 pneumonia on admission and at 6-month follow-up.
    Chest CT findingsAdmission6 months
    Unilateral, n (%)6 (5.26)11 (9.73)
    Bilateral, n (%)110 (94.74)22 (19.47)
    Pleural fluid, n (%)3 (2.63)3 (2.65)
    Ground-glass opacity, n (%)107 (93.9)7 (6.25)
    Consolidation, n (%)23 (20.18)0 (0)
    Air bronchogram, n (%)8 (7.02)0 (0)
    Interlobular septal thickening, n (%)10 (8.77)2 (1.77)
    Pulmonary nodules, n (%)6 (5.31)5 (4.42)
    Mediastinal lymphadenopathy, n (%)2 (1.75)5 (4.42)
    Atelectasis, n (%)11 (9.65)15 (13.4)
    Fibrosis, n (%)4 (3.51)16 (14.54)
    CT involvement according to severity scores
    Mild, n (%)21 (18.1)
    Moderate, n (%)95 (81.9)
    Severe, n (%)0 (0)
    Virological diagnostic results
    SARS-CoV-2 RNA positive, n (%)111 (97.4)2 (1.7)
    SARS-CoV-2 IgG positive, n (%)114 (98.3)
    SARS-CoV-2 IgG: (quant.), median ± IQR8.31 (3.65–16.9)

    Five pulmonary lobes were visually scored on a scale of 0–5: 0, no involvement; 1, <5% involvement; 2, 5–25% involvement; 3, 26–50% involvement; 4, 51–75% involvement; 5, 76–100% involvement.

    CT: Computed tomography; IQR: Interquartile range.

    In follow-up examination 6 months after acute infection, serum IgG was positive in 114 patients (98.3%) and RT-PCR was positive in two patients (1.7%). The patients with positive SARS-CoV-2 PCR tests before the pulmonary function test at 6 months did not have any symptoms. No patients were vaccinated against or reinfected with SARS-CoV-2 during the 6-month follow-up period. The anti-SARS-CoV-2 IgG median was 8.31 U/ml (IQR 3.65–16.9). On average, spirometry revealed no impairments (FVCex: 101% of predicted [IQR: 91–110]; FEV1: 101% of predicted [IQR: 91–115]; FEV1/FVC: 103% [IQR: 98–108]). The SGRQ test showed that median score for activity was 12.2 (IQR: 12.1–12.6), for symptom score was 16.1 (IQR: 15.1–21.7) and for impact score was 14.5 (IQR: 12.7–15.9). Total score was 14.1 (IQR: 13.7–15.9), in the normal range.

    Table 3. Factors associated with residual pulmonary disease on chest computed tomography.
    ParametersResidual pulmonary disease: presenceResidual pulmonary disease: absencep-value
    At admission
    Age (years), median (IQR)53 (48–66)51 (41–59)0.042
    Needing supplemental oxygen, n (%)41 (63)24 (36.9)0.023
    Neutrophil count/mm3, median (IQR)3940 (2790–5410)3120 (2520–4080)0.034
    Neutrophil-to-lymphocyte ratio, median (IQR)2.97 (1.94–4.71)2.26 (1.5–3.25)0.008
    Platelet-to-lymphocyte ratio, median (IQR)0.17 (0.13–0.24)0.13 (0.11–0.18)0.008
    C-reactive protein (mg/dl), median (IQR)38.7 (18–64)19 (9.8–48.8)0.016
    Procalcitonin (ng/ml), median (IQR)0.08 (0.03–0.11)0.04 (0.02–0.1)0.040
    At discharge
    Leukocyte count/mm3, median (IQR)7065 (5685–9040)5980 (4750–7870)0.044
    ALT (UI/l), median (IQR)47 (30–84)27 (18–76)0.018
    At 3 months
    Leukocyte count/mm3, median (IQR)7300 (5789–8210)6320 (5289–7423)0.039
    Creatinine (mg/dl), median (IQR)0.84 (0.69–1.02)0.71 (0.63–0.89)0.032
    At 6 months
    FEV1 (% of predicted), median (IQR)95 (88–104)104 (93–112)0.041
    ALT (UI/l), median (IQR)17 (14–20)19 (16–28)0.028

    †p < 0.05.

    ‡p < 0.01.

    ALT: Alanine aminotransferase; FEV1: forced expiratory volume in 1 s; IQR: Interquartile range.

    Factors associated with residual pulmonary disease on chest CT at 6 months were age (p = 0.042), needing supplemental oxygen (p = 0.023), neutrophil count (p = 0.034), NLR (p = 0.008), PLR (p = 0.08), CRP (p = 0.016) and procalcitonin (p = 0.04) among admission parameters; leukocyte count (p = 0.044) and ALT (p = 0.018) among discharge parameters; and cough (p = 0.006), FEV1 (p = 0.041) and ALT (p = 0.028) among the 6-month follow-up parameters (Table 3).

    Univariate analysis demonstrated that potential predictors for residual disease were: patients who had a need for supplemental oxygen therapy (OR: 2.732; 95% CI: 1.135–6.577; p = 0.037), age >65 years (OR: 1.041; 95% CI: 1.006–1.077; p = 0.021), CRP (OR: 1.008; 95% CI: 1.001–1.015; p = 0.050), NLR (OR: 1.379; 95% CI: 1.122–1.944; p = 0.002) and PLR (OR: 3287.9; 95% CI: 8.590–8540.4; p = 0.008). However, multivariate analyses revealed that only NLR was an independent predictor for residual disease at the time of follow-up chest CT (Table 4). However, although residual disease was more frequent in patients with higher CT involvement (p = 0.041), CT grade was not associated with residual disease in univariate analysis (p = 0.221). We did not detect any patients with long COVID.

    Table 4. Univariate and multivariate analyses for residual pulmonary disease on chest computed tomography at 6 months.
    Logistic regressionUnivariateMultivariate
     ORCIp-valueORCIp-value
    Age (years)1.0411.006–1.0770.0211.0350.999–1.0720.058
    Neutrophil-to-lymphocyte ratio1.3791.122–1.9440.0021.3461.093–1.6580.005
    Platelet-to-lymphocyte ratio3287.98.590–8540.40.008
    C-reactive protein (mg/dl)1.0081.001–1.0150.050
    Needing supplemental oxygen therapy2.7321.135–6.5770.025

    †p < 0.05.

    ‡p < 0.01.

    OR: Odds ratio.

    ROC curve analyses for the best cutoff age, CRP, NLR and PLR at admission using residual disease on chest CTs are shown in Figure 2. Given that vital signs and symptoms at admission were not significant in the univariate analysis, we did not perform a ROC curve for other parameters. We performed a ROC curve for the parameters that were significant in the univariate analysis.

    Figure 2. Receiver operating characteristic curve and performance value for the best cutoffs.

    (A) For age at admission using residual disease on chest CT. (B) For C-reactive protein at admission using residual disease on chest CT. (C) For neutrophil-to-lymphocyte ratio at admission using residual disease on chest CT. (D) For platelet-to-lymphocyte ratio at admission using residual disease on chest CT.

    CRP: C-reactive protein; CT: Computed tomography; NLR: Neutrophil to lymphocyte ratio; PLR: Platelet to lymphocyte ratio.

    Discussion

    At 6 months, nearly all patients (n = 112; 96.6%) had positive serum antibody levels. Although two patients tested positive by RT-PCR for SARS-CoV-2 at 6 months, both of them were asymptomatic. For most patients (n = 98; 89.2%), spirometry results were within normal limits at 6 months. Similar to the studies of Zheng et al., Hui et al. and Xie et al. [13–15], most patients in our study had normal lung function at 6 months after discharge. Despite normal pulmonary function, some patients had persistent pulmonary symptoms such as dyspnea and cough at 6 months. The SGRQ total and domain scores indicated normal quality of life at 6 months. In contrast, Ong et al. reported that SGRQ scores confirmed a decreased normal quality of life related to pulmonary symptoms [16].

    Recovery time from acute illness with COVID-19 is between 2 and 6 weeks in most cases [17]. Chronic persistent or prolonged symptoms including myalgia, fatigue, cough and dyspnea are frequent among patients recovering from COVID-19. In addition, post-intensive-care syndrome symptoms such as psychological and cognitive disorders have been increasingly reported [18–20]. Prolonged symptoms can follow mild or severe illness and include: fatigue (13–87%), dyspnea (10–71%), chest pain or tightness (12–44%) and cough (17–34%) [19–20]. Several observational series describe persistent symptoms in patients following acute COVID-19, with one-third or more experiencing more than one symptom [21–23]. In our study, 28.4% of patients (n = 33) had more than one symptom. We found that 48 patients (41.4%) had one or two COVID-19-related symptoms at 6 months after symptom onset, with six (5.2%) patients having three or more symptoms. The prevalence of persistent symptoms was high (n = 54; 46.6%). In the study of Huang et al., at 6 months 74% of patients had one or more prolonged symptoms. They reported that the most frequent prolonged symptoms were muscle weakness and/or fatigue (n = 1038; 63%), sleep difficulties (n = 437; 26%) and anxiety or depression (n = 367; 23%) [2]. A comparison of the present study’s findings of chronic persistent symptoms with other study results is summarized in Table 5 [21–23].

    Table 5. Comparison of the present study and other study results of chronic persistent symptoms.
    ResultsTuncer et al. (present study)Munblit et al.Sonnweber et al.Pérez-González et al.
    Ref.[21][22][23]
    Sample size (n)
    Female, n (%)
    116
    58 (50)
    2649
    1351 (51.1)
    145
    63 (43.4)
    248
    100 (40.3)
    Age (years)52 (42–61)56 (46–66)57.3 ± 14.354 ± 12
    Study designSingle-center
    Prospective
    Multicenter
    Prospective
    Multicenter
    Prospective
    Single-center
    Prospective
    Severity of illnessMild–moderateMild–moderate40 (27.6%) patients severe, 73 (50.3%) patients mild–moderateSevere
    Need for mechanical ventilationNo patients68 (2.6%)32 (22.1%)29 (10.2%)
    Follow-up mean duration6 months218 days6 months6 months
    Chronic persistent symptoms54 (46.6%)
    Weakness (n = 28; 24%), dyspnea (n = 23; 19.8%), anxiety (n = 8; 6.9%), chest pain (n = 8; 7%), alopecia (n = 5; 4.3%), ageusia (n = 4; 3.5%), back pain (n = 4; 3.5%), cough (n = 3; 2.6%), myalgia (n = 3; 2.6%), arthralgia (n = 2; 1.7%), amnesia (n = 2; 1.7%), anosmia (n = 1; 0.9%), sleep difficulties (n = 1; 0.9%)
    247 (47.1%)
    Fatigue (21.2%), shortness of breath (14.5%) and forgetfulness (9.1%) the most common symptoms; chronic fatigue (25%) and respiratory (17.2%) the most common symptom categories
    71 (49%)
    Impaired physical performance (34.7%), sleep disorders (27.1%) and exertional dyspnea (22.8%) as leading manifestations
    119 (48.0%)
    Extrathoracic symptoms (39.1%), chest symptoms (27%), dyspnea (20.6%) and fatigue (16.1%)
    Risk factors for persistent disease Female sexChronic obstructive pulmonary diseases, female sex and tobacco consumption

    In the present study, patients with pulmonary symptoms did not have low rates of oxygen saturation. In addition, these patients did not have any significant ventilatory problems in the pulmonary function tests. In our cohort, although radiological pulmonary opacities at admission and residual imaging at 6 months were more frequent on chest CT, spirometry revealed that there was no significant limitation on pulmonary function at the 6-month follow-up. Some autopsy studies have reported that patients with COVID-19 had no relevant organized interstitial fibrosis or other fibrotic changes [24,25]. Long-term pulmonary abnormalities are not frequent after recovery from mild/moderate COVID-19 alone [26].

    Huang et al. showed that COVID-19 patients had decreased short-term pulmonary functions at 1 month after discharge [27]. However, in their cohort, there were patients with severe or critical COVID-19 who were supported by mechanical ventilation, which may result in additional sequelae.

    In this study we found that the median titer of serum IgG at 6 months was 8.31 (IQR: 3.65–16.9). Similarly, Wajnberg et al. reported a significant decline in SARS-CoV-2 IgG titers in patients who recovered from COVID-19 at 5 months [28]. The decline in the antibody titers observed in our study and other studies has raised concerns about COVID-19 reinfection. The increased reinfection risk should therefore be considered in patients with symptoms compatible with COVID-19 [29,30].

    In this long-term follow-up study, patients with residual findings on chest CT had fibrosis, atelectasis and ground-glass opacities, which together constituted the majority of abnormalities. We identified patients at risk for developing residual pulmonary disease and could determine its predictors. In univariate analysis, residual pulmonary parenchymal disease at 6 months was associated with the need for supplemental oxygen therapy, age (>65 years old), and increased NLR and PLR. Multivariate analyses revealed that the NLR was an independent predictor for residual disease.

    We found that the extent of the pulmonary involvement at hospital admission may give a suggestion but cannot certainly predict the pulmonary findings in a long-term follow-up. However, Wang et al. and Francone et al. showed that extensive pulmonary involvement may predict the potential to progress to fibrosis and that these patients can benefit from follow-up CTs [6,31]. In the study of Caruso et al., patients with residual disease at the 6-month follow-up CT received supplemental oxygen therapy, and their length of hospital stay was higher than those without. They reported a high prevalence of residual disease at 6 months (n = 85; 72.0%). However, in their cohort, the mean age was higher and they included a high number of mechanically ventilated patients (n = 34; 28.8%) [32]. Other studies have also shown that critically ill older adults are more likely to have residual findings [33–34]. Comparison of the present study and other study results related to residual pulmonary disease on chest CT are summarized in Table 6 [5,32,33,35,36].

    Table 6. Comparison of the present study and other study results of residual pulmonary disease on chest computed tomography.
    ResultsTuncer et al. (present study)Rogliani et al.Tabatabaei et al.Han et al.Caruso et al.McGroder et al.
    Ref.[5][33][35][32][36]
    Sample size (n)
    Female, n (%)
    116
    58 (50)
    27
    7 (26)
    52
    20 (38)
    114
    34 (30)
    118
    62 (52.5)
    76
    31 (39)
    Age (years)52 (42–61)60.79
    (57.11–64.46)
    50.17 ± 13.154 ± 1265 ± 1254 ± 13.7
    Study designSingle-center prospectiveSingle-center prospectiveSingle-center retrospectiveSingle-center prospectiveSingle-center prospectiveSingle-center prospective
    Severity of illnessMild–moderateMild–moderate10 (19.23%) patients severe, 42 (80.77%) patients mild–moderateSevereModerate–severe32 (42%) patients severe, 44 (57.9%) patients mild–moderate
    Need for mechanical ventilationNo patientsNo patients11 (57.2%)No patients87 (74%)32 (42%)
    Follow-up mean duration6 months1 month3 months6 months6 months4 months
    Residual pulmonary sequelae33 (28.4%)In none of the follow-up HRCTs were significant extension of fibrotic abnormalities (including reticular opacities, traction bronchiectasis and honeycombing) detected22 (42.3%)71 (62%)85 (72%)32 (42.1%)
    Underwent mechanical ventilation: 23 (72%)
    Did not undergo mechanical ventilation: 9 (20%)
    Radiological pattern in the patients with residual diseaseFibrosis (16/33; 48.5%),
    Atelectasis (15/33; 45.5%)
    Ground-glass opacity (7/33; 21.2%)
    Pulmonary nodules and mediastinal lymphadenopathy (5/33; 15.2%)



    Ground-glass opacity (12/22; 54.5%)
    Mixed ground-glass opacity and subpleural parenchymal bands (7/22; 31.8%)
    Pure subpleural parenchymal bands (3/22; 13.7%)
    Fibrotic-like changes (40/114; 35%)
    Ground-glass opacity or interstitial thickening (31/114; 27%)
    Fibrosis-like opacity (85/118; 72%)
    Ground-glass opacity (49/118; 42%)
    Ground-glass opacity (43%)
    Reticulation (39%)
    Traction bronchiectasis (38%)

    HRCT: High-resolution computed tomography.

    While several laboratory tests have been used for predicting poor outcomes, only a few laboratory parameters have been studied for predicting long-term pulmonary sequelae in COVID-19 [37–40]. Patients with residual disease at 6 months had significantly higher NLR, PLR and CRP on admission.

    In our study, patients with abnormal CT findings were mostly older adults, inconsistent with the study of Zhao et al. [34]. In the study of Han et al., the multivariable analysis identified age, heart rate at admission, duration of hospital stay, acute respiratory distress syndrome, need for noninvasive mechanical ventilation and total CT score at initial CT as independent predictors for fibrotic-like changes in the lung at 6 months [35].

    In our study, 28.4% of the patients with COVID-19 had more than one symptom 6 months after symptom onset. In another Turkish study conducted by Vural et al., the prevalence of long-term pulmonary sequelae with a median follow-up of 112 days after symptom onset was 35% in 84 surviving patients with moderate and severe COVID-19 pneumonia [41]. They demonstrated that independent risk factors for pulmonary sequelae changes were prolonged length of hospital stay (≥22 days) and an increased baseline CT score (≥15 points). In our study, on follow-up CT, 33 patients (28.4%) demonstrated residual disease; need for supplemental oxygen therapy, older age, increased NLR and increased PLR were associated with residual pulmonary parenchymal disease. However, only the NLR was found to an independent predictor for residual disease in multivariate analysis. Lerum et al. reported that among 108 patients from the NOR-SOLIDARITY study, which is a multicenter randomized clinical trial, nearly 40% of patients had pulmonary sequelae [42]. In that study, high levels of SARS-CoV-2 viral load and MMP-9, poor antibody response, need for intensive care unit admission and increased respiratory support were associated with poorer pulmonary outcomes at a 3-month follow-up period. In another follow-up study evaluating persistent symptoms, pulmonary functions and radiological features at 8 weeks and 4 months, smoking (past or current), pre-existing diabetes mellitus and length of hospital stay were associated with persistent symptoms among 177 ward patients. The authors revealed that fibrosis-like changes at an average of 18 weeks post-discharge were more common among patients in the intensive care unit than in those discharged from the ward (32 vs 9%) [43]. In another follow-up study, the researchers reported that ground-glass opacities on chest CT scans were seen frequently (89%) at 3 months after hospital discharge in patients requiring intensive care. Fibrosis-like changes were seen in 67% (n = 31) of the patients. Nearly 25% of the survivors had new emphysematous destruction, new cavitation, or deterioration of pre-existing emphysema [44].

    It is noteworthy to mention that although the quality of life at the 6-month follow-up was not negatively affected in our cohort, which was consistent with our cohort of patients with mild-to-moderate COVID-19, physicians should be aware of the importance of follow-up visits, especially in patients with severe COVID-19 pneumonia. Thus, to reduce long-term poor pulmonary outcomes, possible treatment options and different therapeutic strategies should be considered [45]. In addition, an increased number of studies demonstrating the importance of COVID-19 vaccination in reducing long COVID symptoms have been published [46,47]. Therefore, it must be highlighted that the most effective strategy for reducing the incidence and severity of long-term effects of COVID-19 such as persistent symptoms and pulmonary sequelae is to prevent severe COVID-19 pneumonia.

    This study had some strengths. First, the strength of this follow-up study lies in its prospective design. Second, we excluded patients with COVID-19 requiring mechanical ventilation during their hospital stay in order to understand the impact of COVID-19 on residual sequelae. Third, we could evaluate different variables such as demographic and clinical characteristics, laboratory parameters, spirometry, radiological examinations and SGRQ scores.

    However, the study also had several limitations. First, this study had a relatively small sample size. Second, a high percentage of patients refused to undergo follow-up; this may cause selection bias. Third, we did not include patients with mild symptoms who did not require hospitalization. Fourth, we could not evaluate patients who died within 6 months after discharge. Finally, the baseline data of pulmonary function were unknown. Because of this, we did not compare the prevalence of pulmonary dysfunction in patients prior to the development of COVID-19. Therefore, not all findings associated with pulmonary sequelae on chest CT can be directly attributed to COVID-19. However, the prevalence of chronic pulmonary disease in our cohort was low.

    Conclusion

    Hospitalized patients with mild/moderate COVID-19 still had persistent symptoms and were prone to develop long-term pulmonary sequelae on chest CT. However, it did not have a significant effect on long-term pulmonary function. Clinicians should consider older age, the need for supplemental oxygen therapy and increased levels of CRP, NLR and PLR as potential predictors for residual disease. However, the decision to perform follow-up chest CT should be taken on a patient-by-patient basis.

    Summary points
    • Hospitalized patients with mild/moderate COVID-19 still had persistent symptoms and were prone to develop long-term pulmonary sequelae on chest computed tomography.

    • Long-term pulmonary sequelae on chest computed tomography did not have a significant effect on long-term pulmonary functions. Spirometry revealed no impairments in pulmonary functions, and St George’s Respiratory Questionnaire test scores showed no impairments in quality of life.

    • The most common radiological findings in patients with residual disease were fibrosis, followed by atelectasis, ground-glass opacity, pulmonary nodules and mediastinal lymphadenopathy.

    • Eighteen of the 33 patients with residual disease had at least one symptom, including eight patients with mild dyspnea and one patient with mild chest pain.

    • Univariate analysis revealed that predictors for pulmonary parenchymal disease were: needing supplemental oxygen therapy, age >65 years, and increased C-reactive protein, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio.

    • Multivariate analyses revealed that only the neutrophil-to-lymphocyte ratio was an independent predictor for residual disease.

    Supplementary data

    To view the supplementary data that accompany this paper please visit the journal website at: www.futuremedicine.com/doi/suppl/10.2217/fmb-2022-0121

    Author contributions

    G Tuncer, S Simsek-Yavuz, F Pehlivanoglu, R Turkay, G Sengoz and E Canel-Karakus contributed to the study conception and design, acquisition/analysis/interpretation of data, drafting and critical review of the article. O Bayramlar, S Surme, G Tuncer and C Belge contributed to study conception and design, statistical analysis/interpretation of data, critical revision and supervision. All authors have contributed to and approved the final manuscript.

    Acknowledgments

    The authors acknowledge all healthcare professionals who contributed to the care of our patients.

    Financial & competing interests disclosure

    The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

    No writing assistance was utilized in the production of this manuscript.

    Ethical conduct of research

    The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. In addition, for investigations involving human subjects, informed consent has been obtained from the participants involved.

    Papers of special note have been highlighted as: • of interest; •• of considerable interest

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