scholarly journals Follow-Up Study of the Chest CT Characteristics of COVID-19 Survivors Seven Months After Recovery

2021 ◽  
Vol 8 ◽  
Author(s):  
Mengqi Liu ◽  
Fajin Lv ◽  
Yang Huang ◽  
Kaihu Xiao

Background: It has remained a concern whether any long-term pulmonary sequelae exist for COVID-19 survivors.Methods: Forty-one patients (22 men and 19 women, 50 ± 14 years) confirmed with COVID-19 performed follow-up chest CT and cardiopulmonary exercise testing at 7 months after discharge. Patients were divided into fibrosis group and non-fibrosis group according to the evidence of fibrosis on follow-up CT. The clinical data and the CT findings were recorded and analyzed.Results: The predominant CT patterns of abnormalities observed at 7 months after discharge were parenchymal band (41%), interlobular septal thickening (32%), and traction bronchiectasis (29%). Sixty-one percent of the patients achieved complete radiological resolution, and 29% of patients developed pulmonary fibrosis. Compared with the patients in the non-fibrosis group, the patients in the fibrosis group were older, with a longer hospital stay, a higher rate of steroid and mechanical ventilation therapy, lower levels of lymphocyte and T cell count, higher levels of D-dimer and lactic dehydrogenase, and higher quantitative CT parameters (opacity score, volume of opacity, and percentage of opacity) at discharge. Besides, oxygen consumption and metabolic equations were decreased and ventilatory equivalent for carbon dioxide was increased in patients in the fibrosis group. Logistic regression analyses revealed that age, steroid therapy, presence of traction bronchiectasis on chest CT at discharge, and opacity score at discharge, were independent risk factors for developing pulmonary fibrosis at 7 months after discharge. Receiver operating characteristic analysis revealed that the combined clinical-radiological model was better than the clinical-only model in the prediction of pulmonary fibrosis.Conclusions: The chest CT lesions could be absorbed without any sequelae for most patients with COVID-19, whereas older patients with severe conditions are more prone to develop fibrosis, which may further lead to cardiopulmonary insufficiency. The combined clinical-radiological model may predict the formation of pulmonary fibrosis early.

2021 ◽  
Vol 8 ◽  
Author(s):  
Kaihu Xiao ◽  
Haiyan Yang ◽  
Bin Liu ◽  
Xiaohua Pang ◽  
Jianlin Du ◽  
...  

Background: COVID-19 is a global pandemic. The prevention of SARS-CoV-2 infection and the rehabilitation of survivors are currently the most urgent tasks. However, after patients with COVID-19 are discharged from the hospital, how long the antibodies persist, whether the lung lesions can be completely absorbed, and whether cardiopulmonary abnormalities exist remain unclear.Methods: A total of 56 COVID-19 survivors were followed up for 12 months, with examinations including serum virus-specific antibodies, chest CT, and cardiopulmonary exercise testing.Results: The IgG titer of the COVID-19 survivors decreased gradually, especially in the first 6 months after discharge. At 6 and 12 months after discharge, the IgG titer decreased by 68.9 and 86.0%, respectively. The IgG titer in patients with severe disease was higher than that in patients with non-severe disease at each time point, but the difference did not reach statistical significance. Among the patients, 11.8% were IgG negative up to 12 months after discharge. Chest CT scans showed that at 3 and 10 months after discharge, the lung opacity had decreased by 91.9 and 95.5%, respectively, as compared with that at admission. 10 months after discharge, 12.5% of the patients had an opacity percentage >1%, and 18.8% of patients had pulmonary fibrosis (38.5% in the severe group and 5.3% in the non-severe group, P < 0.001). Cardiopulmonary exercise testing showed that 22.9% of patients had FEV1/FVC%Pred <92%, 17.1% of patients had FEV1%Pred <80%, 20.0% of patients had a VO2 AT <14 mlO2/kg/min, and 22.9% of patients had a VE/VCO2 slope >30%.Conclusions: IgG antibodies in most patients with COVID-19 can last for at least 12 months after discharge. The IgG titers decreased significantly in the first 6 months and remained stable in the following 6 months. The lung lesions of most patients with COVID-19 can be absorbed without sequelae, and a few patients in severe condition are more likely to develop pulmonary fibrosis. Approximately one-fifth of the patients had cardiopulmonary dysfunction 6 months after discharge.


Author(s):  
Mehrdad Nabahati ◽  
Soheil Ebrahimpour ◽  
Reza Khaleghnejad Tabari ◽  
Rahele Mehraeen

Abstract Background We aimed to prospectively assess the lung fibrotic-like changes, as well as to explore their predictive factors, in the patients who survived Coronavirus Disease 2019 (COVID-19) infection. In this prospective cross-sectional study, we recruited patients who had been treated for moderate or severe COVID-19 pneumonia as inpatients and discharged from Rohani hospital in Babol, northern Iran, during March 2020. The clinical severity of COVID-19 pneumonia was classified as per the definition by World Health Organization. We also calculated the CT severity score (CSS) for all patients at admission. Within the 3 months of follow-up, the next chest CT scan was performed. As the secondary outcome, the patients with fibrotic abnormalities in their second CT scan were followed up in the next 3 months. Results Totally, 173 COVID-19 patients were finally included in the study, of whom 57 (32.9%) were male and others were female. The mean age was 53.62 ± 13.67 years old. At 3-month CT follow-up, evidence of pulmonary fibrosis was observed in 90 patients (52.0%). Consolidation (odds ratio [OR] = 2.84), severe disease (OR 2.40), and a higher CSS (OR 1.10) at admission were associated with increased risk of fibrotic abnormalities found at 3-month CT follow-up. Of 62 patients who underwent chest CT scan again at 6 months of follow-up, 41 patients (66.1%) showed no considerable changes in the fibrotic findings, while the rest of 21 patients (33.9%) showed relatively diminished lung fibrosis. Conclusion Post-COVID-19 lung fibrosis was observed in about half of the survivors. Also, patients with severe COVID-19 pneumonia were at a higher risk of pulmonary fibrosis. Moreover, consolidation, as well as a higher CSS, in the initial chest CT scan, was associated with increased risk of post-COVID-19 lung fibrosis. In addition, some patients experienced diminished fibrotic abnormalities in their chest CT on 6-month follow-up, while some others did not.


2020 ◽  
Author(s):  
Xiaoyun Su ◽  
Yuxi Jia ◽  
Qing Zhu ◽  
Bo Liu ◽  
Huiting Zhang ◽  
...  

Abstract Background: To explore the clinical features and deep-learning (DL) based quantitative CT finding’s applications and evolution as well as the correlations in COVID-19.Methods: 273 chest CT scans (median interval, 6 days) from 75 COVID-19 RT-PCT positive patients (53 moderate and 22 severe) were included. Quantification parameters, such as CT value distribution, lesion (abnormal), GGO, consolidation rates, Hellinger distance and IOU, were automatically extracted from CT images by a combination of traditional image process algorithm and DL network. Clinical characteristics were also collected and analysed.Results: The hypertension and diabetes were more common in severity. The CRP, ESP, LDH and D-dimer were higher while LYM and LYM% lower in severity (P < 0.05). The DL network was detected the lesions to obtain quantitively CT indicators, with fast to process a chest CT images (average time, 2.2s) and high overlap with radiologist. The hellinger, abnormal, GGO, consolidation rates and HU values were higher and the IOU lower in severity than moderate patients (P < 0.05). The largest AUC was 0.943, using the cutoff value of 10.5% for abnormal rate. The CT score have postive correlations with CRP, D-dimer and ESR (P < 0.05). The increased levels of ESR and D-dimer were positively correlated with abnormal, consolidation and GGO rates (P < 0.05). Investigation for quantitative CT changes were performed in three periods: 1) 1-2 weeks, CT score and abnormal rate were increased. The GGO converted to consolidation in severity; 2) 2-5 weeks, CT scores stable trend, while abnormal and GGO rates had upward trend in severity; 3) > 5weeks, CT score and abnormal rate have decreased.Conclusions: There were three phases of two patterns’ evolutionary trends in quantitative CT findings with differences in two groups, and have correlations with laboratory markers, which helpful for evaluating severity and prognosis in COVID-19 patients.


Author(s):  
T. I. Kalenchic ◽  
S L. Kabak ◽  
I. V. Korenevskaya

In this study, we report three cases of persistent  severe respiratory failure and radiological signs of diffuse pulmonary fibrosis in patients after COVID-19 related pneumonia. Chest CT criteria for a diagnosis of pulmonary fibrosis include the presence of traction bronchiectasis and parenchymal bands (linear opacities), as well as numerous small subpleural cystic air spaces (honeycombing). The study found that all cases of fibrosis were associated with such risk factors as male gender, old age, and multicomorbidity. Chest CT of one patient with acute respiratory distress syndrome showed radiographic characteristics of pulmonary fibrosis together with the presence of ground glass opacities (GGO) – the main CT feature of COVID-19 pneumonia. In two other patients, CT features of pulmonary fibrosis appeared in about 2 months after the hospital stay.Thus, pulmonary fibrosis is severe and rapidly progressive complication of COVID-19 pneumonia with a poor prognosis, especially in patients with multiple risk factors.


Respiration ◽  
2021 ◽  
pp. 369-377
Author(s):  
Michael Westhoff ◽  
Patric Litterst ◽  
Ralf Ewert

Background: Combined pulmonary fibrosis and emphysema (CPFE) is a distinct entity among fibrosing lung diseases with a high risk for lung cancer and pulmonary hypertension (PH). Notably, concomitant PH was identified as a negative prognostic indicator that could help with early diagnosis to provide important information regarding prognosis. Objectives: The current study aimed to determine whether cardiopulmonary exercise testing (CPET) can be helpful in differentiating patients having CPFE with and without PH. Methods: Patients diagnosed with CPFE in 2 German cities (Hemer and Greifswald) over a period of 10 years were included herein. CPET parameters, such as peak oxygen uptake (peak VO2), functional dead space ventilation (VDf/VT), alveolar-arterial oxygen difference (AaDO2), arterial-end-tidal CO2 difference [P(a-ET)CO2] at peak exercise, and the minute ventilation-carbon dioxide production relationship (VE/VCO2 slope), were compared between patients with and without PH. Results: A total of 41 patients with CPET (22 with PH, 19 without PH) were analyzed. Right heart catheterization was performed in 15 of 41 patients without clinically relevant complications. Significant differences in peak VO2 (861 ± 190 vs. 1,397 ± 439 mL), VO2/kg body weight/min (10.8 ± 2.6 vs. 17.4 ± 5.2 mL), peak AaDO2 (72.3 ± 7.3 vs. 46.3 ± 14.2 mm Hg), VE/VCO2 slope (70.1 ± 31.5 vs. 39.6 ± 9.6), and peak P(a-ET)tCO2 (13.9 ± 3.5 vs. 8.1 ± 3.6 mm Hg) were observed between patients with and without PH (p < 0.001). Patients with PH had significantly higher VDf/VT at rest, VT1, and at peak exercise (65.6 ± 16.8% vs. 47.2 ± 11.6%; p < 0.001) than those without PH. A cutoff value of 44 for VE/VCO2 slope had a sensitivity and specificity of 94.7 and 72.7%, while a cutoff value of 11 mm Hg for P(a-ET)CO2 in combination with peak AaDO2 >60 mm Hg had a specificity and sensitivity of 95.5 and 84.2%, respectively. Combining peak AaDO2 >60 mm Hg with peak VO2/body weight/min <16.5 mL/kg/min provided a sensitivity and specificity of 100 and 95.5%, respectively. Conclusion: This study provided initial data on CPET among patients having CPFE with and without PH. CPET can help noninvasively detect PH and identify patients at risk. AaDO2 at peak exercise, VE/VCO2 slope, peak P(a-ET)CO2, and peak VO2 were parameters that had high sensitivity and, when combined, high specificity.


Author(s):  
Martina Pecoraro ◽  
Stefano Cipollari ◽  
Livia Marchitelli ◽  
Emanuele Messina ◽  
Maurizio Del Monte ◽  
...  

Abstract Purpose The aim of the study was to prospectively evaluate the agreement between chest magnetic resonance imaging (MRI) and computed tomography (CT) and to assess the diagnostic performance of chest MRI relative to that of CT during the follow-up of patients recovered from coronavirus disease 2019. Materials and methods Fifty-two patients underwent both follow-up chest CT and MRI scans, evaluated for ground-glass opacities (GGOs), consolidation, interlobular septal thickening, fibrosis, pleural indentation, vessel enlargement, bronchiolar ectasia, and changes compared to prior CT scans. DWI/ADC was evaluated for signal abnormalities suspicious for inflammation. Agreement between CT and MRI was assessed with Cohen’s k and weighted k. Measures of diagnostic accuracy of MRI were calculated. Results The agreement between CT and MRI was almost perfect for consolidation (k = 1.00) and change from prior CT (k = 0.857); substantial for predominant pattern (k = 0.764) and interlobular septal thickening (k = 0.734); and poor for GGOs (k = 0.339), fibrosis (k = 0.224), pleural indentation (k = 0.231), and vessel enlargement (k = 0.339). Meanwhile, the sensitivity of MRI was high for GGOs (1.00), interlobular septal thickening (1.00), and consolidation (1.00) but poor for fibrotic changes (0.18), pleural indentation (0.23), and vessel enlargement (0.50) and the specificity was overall high. DWI was positive in 46.0% of cases. Conclusions The agreement between MRI and CT was overall good. MRI was very sensitive for GGOs, consolidation and interlobular septal thickening and overall specific for most findings. DWI could be a reputable imaging biomarker of inflammatory activity.


Author(s):  
Ali H. Elmokadem ◽  
Dalia Bayoumi ◽  
Sherif A. Abo-Hedibah ◽  
Ahmed El-Morsy

Abstract Background To evaluate the diagnostic performance of chest CT in differentiating coronavirus disease 2019 (COVID-19) and non-COVID-19 causes of ground-glass opacities (GGO). Results A total of 80 patients (49 males and 31 females, 46.48 ± 16.09 years) confirmed with COVID-19 by RT-PCR and who underwent chest CT scan within 2 weeks of symptoms, and 100 patients (55 males and 45 females, 48.94 ± 18.97 years) presented with GGO on chest CT were enrolled in the study. Three radiologists reviewed all CT chest exams after removal of all identifying data from the images. They expressed the result as positive or negative for COVID-19 and recorded the other pulmonary CT features with mention of laterality, lobar affection, and distribution pattern. The clinical data and laboratory findings were recorded. Chest CT offered diagnostic accuracy ranging from 59 to 77.2% in differentiating COVID-19- from non-COVID-19-associated GGO with sensitivity from 76.25 to 90% and specificity from 45 to 67%. The specificity was lower when differentiating COVID-19 from non-COVID-19 viral pneumonias (30.5–61.1%) and higher (53.1–70.3%) after exclusion of viral pneumonia from the non-COVID-19 group. Patients with COVID-19 were more likely to have lesions in lower lobes (p = 0.005), peripheral distribution (p < 0.001), isolated ground-glass opacity (p = 0.043), subpleural bands (p = 0.048), reverse halo sign (p = 0.005), and vascular thickening (p = 0.013) but less likely to have pulmonary nodules (p < 0.001), traction bronchiectasis (p = 0.005), pleural effusion (p < 0.001), and lymphadenopathy (p < 0.001). Conclusions Chest CT offered reasonable sensitivity when differentiating COVID-19- from non-COVID-19-associated GGO with low specificity when differentiating COVID-19 from other viral pneumonias and moderate specificity when differentiating COVID-19 from other causes of GGO.


Thorax ◽  
2016 ◽  
Vol 71 (Suppl 3) ◽  
pp. A13.1-A13
Author(s):  
V Navaratnam ◽  
AW Fogarty ◽  
T McKeever ◽  
N Thompson ◽  
G Jenkins ◽  
...  

Thorax ◽  
2019 ◽  
Vol 74 (12) ◽  
pp. 1131-1139 ◽  
Author(s):  
Susan K Mathai ◽  
Stephen Humphries ◽  
Jonathan A Kropski ◽  
Timothy S Blackwell ◽  
Julia Powers ◽  
...  

BackgroundRelatives of patients with familial interstitial pneumonia (FIP) are at increased risk for pulmonary fibrosis. We assessed the prevalence and risk factors for preclinical pulmonary fibrosis (PrePF) in first-degree relatives of patients with FIP and determined the utility of deep learning in detecting PrePF on CT.MethodsFirst-degree relatives of patients with FIP over 40 years of age who believed themselves to be unaffected by pulmonary fibrosis underwent CT scans of the chest. Images were visually reviewed, and a deep learning algorithm was used to quantify lung fibrosis. Genotyping for common idiopathic pulmonary fibrosis risk variants in MUC5B and TERT was performed.FindingsIn 494 relatives of patients with FIP from 263 families of patients with FIP, the prevalence of PrePF on visual CT evaluation was 15.6% (95% CI 12.6 to 19.0). Compared with visual CT evaluation, deep learning quantitative CT analysis had 84% sensitivity (95% CI 0.72 to 0.89) and 86% sensitivity (95% CI 0.83 to 0.89) for discriminating subjects with visual PrePF diagnosis. Subjects with PrePF were older (65.9, SD 10.1 years) than subjects without fibrosis (55.8 SD 8.7 years), more likely to be male (49% vs 37%), more likely to have smoked (44% vs 27%) and more likely to have the MUC5B promoter variant rs35705950 (minor allele frequency 0.29 vs 0.21). MUC5B variant carriers had higher quantitative CT fibrosis scores (mean difference of 0.36%), a difference that remains significant when controlling for age and sex.InterpretationPrePF is common in relatives of patients with FIP. Its prevalence increases with age and the presence of a common MUC5B promoter variant. Quantitative CT analysis can detect these imaging abnormalities.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Santos Monteiro ◽  
C Cruz Lamas ◽  
M C Terra Cola ◽  
A J Oliveira Monteiro ◽  
M Machado Melo ◽  
...  

Abstract Introduction Treatment of patients with univentricular physiology is based on a sequence of palliative surgeries which end with the Fontan operation, when all venous blood flow is diverted to the lungs, bypassing the heart. Most centers advise to complete this process around 4 years of age, and there are few data about the performance of the Fontan operation in adults. Purpose To describe the results of the Fontan surgery when performed in adult patients. Methods A retrospective review of patients submitted to the Fontan operation between 2014 and 2018, with data collection from charts, regarding their pre-operative state and follow up, including improvement in exercise capacity and hemoglobin levels. Results There were 12 patients submitted to the Fontan operation in the study period, with mean age 24±5 years, 8 female and 4 male. Two patients had no previous surgery, 2 only had bandage of the pulmonary artery, 7 had the Glenn surgery and 1 had the Damus and the Glenn surgery. Five patients had tricuspid atresia (TA) with valvular pulmonary stenosis (PS) or atresia, 1 patient had TA alone, 2 had TA with transposition of the great arteries, 1 patient had double inlet left ventricle (LV) with PS, 2 had double inlet LV with coarctation of the aorta, and 1 patient had hypoplastic right heart. One patient had suspected Noonan Syndrome. The patients who did not have Glenn surgery were submitted to connection of superior and inferior venae cavae with the pulmonary artery in the same procedure (4 patients). Seven patients had the fenestrated Fontan procedure. Six patients had a combined operation. Inhospital mortality was 0%. One patient died 4 months after the surgery due to bilateral subdural hematoma. The immediate post operative complications were tachyarrhythmia (2); important bleeding (2); pericardial effusion (4); pleural effusion (7); provisional pacemaker (1); junctional rhythmn (1); temporary hemodialysis (1); infection of the operative wound (1); fungal endocarditis (1); and mild stroke (1). The mean duration of hospitalization was 41.5±18.7 days. The length of hospital stay after surgery was 31.1±16.2 days. The exercise functional capacity improved in all patients. Before surgery there was 1 patient NYHA II that became NYHA I, 10 were NYHA III and became II or I, and 1 patient who was NYHA IV became II. The average oxygen saturation before surgery was 82% ± 8.2% and after was 91.7% ± 4.7%. The mean hemoglobin went from 17.8 g/dL to 13.9 g/dL. Eight patients performed cardiopulmonary exercise testing (CPX) before surgery, 1 patient was Weber B, 4 patients Weber C, 1 D and 1 E. Mean VO2 max was 11.7 ml/kg.min (± 3.69), and the mean slope was 71.8±35.0. Four patients performed CPX after surgery, mean VO2 max was 16.5±7.3, and mean slope was 39±16.6. Mean follow up was 20.3±17.7 months. Conclusions The Fontan operation is safe in adult patients and may still confer them significant benefits.


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