Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patient Population and Study Design
2.2. CT Protocol and Image Analysis
2.3. Outcome
2.4. Statistical Analysis
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Data | Median (IQR) or Number of Observations (%) |
---|---|
Age | 60 (51, 69) |
Females | 95 (34%) |
Males | 187 (66%) |
symptoms onset (days) | 7 (4, 10) |
%CL admission | 11% (6, 18) |
%PAL admission | 9% (5, 14) |
%CL follow-up | 5% (4, 6) |
%PAL follow-up | 4% (3, 5) |
%deltaCL | −4% (−11, −1) |
%deltaPAL | −3% (−9, −1) |
length of stay | 9 (7, 15) |
lung disease | 39 (13%) |
Therapy | |
corticosteroid | 21 (7%) |
heparin | 107 (38%) |
oxygen | 172 (61%) |
intubation | 15 (5%) |
Follow-up | |
thoracalgia | 14 (5%) |
dyspnea | 6 (2%) |
coughing | 3 (1%) |
days between scans | 48 (42, 59) |
days to negative swab | 33 (25, 43) |
OR | SE | p-Value | 95% C.I. | ||
---|---|---|---|---|---|
Dyspnea | |||||
%deltaCL | 0.82 | 0.07 | 0.03 * | 0.69 | 0.98 |
Corticosteroid | 8.50 | 8.38 | 0.03 * | 1.23 | 58.63 |
Lung disease | 3.60 | 3.54 | 0.19 | 0.52 | 24.77 |
Oxygen therapy | 5.49 | 6.35 | 0.14 | 0.57 | 53.01 |
LR chi2(4) = 12.54 | |||||
%deltaPAL | 0.81 | 0.07 | 0.02 * | 0.67 | 0.97 |
Corticosteroid | 7.47 | 7.06 | 0.03 * | 1.17 | 47.63 |
Oxygen therapy | 6.38 | 7.26 | 0.10 | 0.69 | 59.38 |
LR chi2(3) = 11.25 | |||||
Thoracalgia | |||||
%deltaCL | 1.05 | 0.03 | 0.08 | 0.99 | 1.11 |
Length of stay | 0.85 | 0.07 | 0.04 * | 0.73 | 0.99 |
Intubation | 10.47 | 17.42 | 0.16 | 0.40 | 273.05 |
Age | 0.95 | 0.02 | 0.06 | 0.90 | 1.00 |
Diabetes | 2.83 | 2.13 | 0.17 | 0.65 | 12.34 |
LR chi2(5) = 15.87 | |||||
%deltaPAL | 1.11 | 0.05 | 0.02 * | 1.02 | 1.20 |
Age | 0.95 | 0.02 | 0.05 * | 0.90 | 1.00 |
Intubation | 10.63 | 16.75 | 0.13 | 0.48 | 233.21 |
Length of stay | 0.84 | 0.07 | 0.03 * | 0.72 | 0.98 |
Diabetes | 2.92 | 2.20 | 0.16 | 0.67 | 12.81 |
LR chi2(5) = 18.64 | |||||
Coughing | |||||
%deltaCL | 0.82 | 0.11 | 0.12 | 0.63 | 1.05 |
Age | 1.10 | 0.06 | 0.06 | 1.00 | 1.22 |
LR chi2(2) = 9.25 | |||||
%deltaPAL | 0.77 | 0.11 | 0.08 | 0.58 | 1.04 |
Age | 1.11 | 0.06 | 0.04 * | 1.00 | 1.22 |
LR chi2(2) = 9.56 |
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Lanza, E.; Ammirabile, A.; Casana, M.; Pocaterra, D.; Tordato, F.M.P.; Varisco, B.; Lisi, C.; Messana, G.; Balzarini, L.; Morelli, P. Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study. Tomography 2022, 8, 1578-1585. https://doi.org/10.3390/tomography8030130
Lanza E, Ammirabile A, Casana M, Pocaterra D, Tordato FMP, Varisco B, Lisi C, Messana G, Balzarini L, Morelli P. Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study. Tomography. 2022; 8(3):1578-1585. https://doi.org/10.3390/tomography8030130
Chicago/Turabian StyleLanza, Ezio, Angela Ammirabile, Maddalena Casana, Daria Pocaterra, Federica Maria Pilar Tordato, Benedetta Varisco, Costanza Lisi, Gaia Messana, Luca Balzarini, and Paola Morelli. 2022. "Quantitative Chest CT Analysis to Measure Short-Term Sequelae of COVID-19 Pneumonia: A Monocentric Prospective Study" Tomography 8, no. 3: 1578-1585. https://doi.org/10.3390/tomography8030130