Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study
Background: This study aimed to determine the prediction equations for calculating maximal inspiratory pressure using spirometry and thoracic ultrasonography (USG) after COVID-19 with gastroesophageal reflux disease (GERD). Methods: This cross-sectional study was conducted from January to December...
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Interna Publishing
2024-10-01
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| Series: | Acta Medica Indonesiana |
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| Online Access: | http://www.actamedindones.org/index.php/ijim/article/view/2675 |
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| author | Siti Chandra Widjanantie Ari Fahrial Syam Nury Nusdwinuringtyas Agus Dwi Susanto Rudy Hidayat Aria Kekalih Maria Regina Rachmawati Maryastuti Maryastuti Triya Damayanti Putri Prathiwi Won Ah Choi Seong Woong Kang |
| author_facet | Siti Chandra Widjanantie Ari Fahrial Syam Nury Nusdwinuringtyas Agus Dwi Susanto Rudy Hidayat Aria Kekalih Maria Regina Rachmawati Maryastuti Maryastuti Triya Damayanti Putri Prathiwi Won Ah Choi Seong Woong Kang |
| author_sort | Siti Chandra Widjanantie |
| collection | DOAJ |
| description |
Background: This study aimed to determine the prediction equations for calculating maximal inspiratory pressure using spirometry and thoracic ultrasonography (USG) after COVID-19 with gastroesophageal reflux disease (GERD). Methods: This cross-sectional study was conducted from January to December 2022 and included Indonesian adults recruited by consecutive sampling after they developed COVID-19 with GERD symptoms. The following tests were used: spirometry (forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1); thoracic USG (left diaphragm excursion (LDE) and right diaphragm excursion (RDE); and respirometry (maximal inspiratory pressure (MIP). The data were analyzed using Pearson correlational analysis and multiple linear regression. Results: Sixty-two participants were recruited: mean age 37.23 ± 9.76 years and average MIP 49.85 ± 18.13 cmH2O. MIP correlated significantly with FVC (r = 0.307; p = 0.015), LDE (r = 0.249; p = 0.051), FEV1(r = 0.186; p = 0.147), and RDE (r = 0.156; p = 0.221). We developed two models based on their applicability. Model 1 provides an MIP prediction equation for health facilities that have only spirometry: 23.841 – (20.455 × FEV1) + (26.190 × FVC). Model 2 provides an MIP prediction equation for health facilities that have both spirometry and thoracic USG: 3.530 – (20.025 × FEV1) + (25.354 × FVC) + (4.819 × LDE). Conclusion: In this study, measures of respiratory function correlated significantly with diaphragm excursion. MIP can be predicted from spirometry and thoracic USG data. Healthcare facilities can choose the prediction equation model that best meets their situation.
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| format | Article |
| id | doaj-art-6fcef47417c244838cb317bc7751f34d |
| institution | Kabale University |
| issn | 0125-9326 2338-2732 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Interna Publishing |
| record_format | Article |
| series | Acta Medica Indonesiana |
| spelling | doaj-art-6fcef47417c244838cb317bc7751f34d2025-08-20T03:50:00ZengInterna PublishingActa Medica Indonesiana0125-93262338-27322024-10-01563Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional StudySiti Chandra Widjanantie0Ari Fahrial Syam1Nury Nusdwinuringtyas2Agus Dwi Susanto3Rudy Hidayat4Aria Kekalih5Maria Regina Rachmawati6Maryastuti Maryastuti7Triya Damayanti8Putri Prathiwi9Won Ah Choi10Seong Woong Kang11Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Universitas Indonesia, Jakarta, IndonesiaDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Universitas Indonesia, Jakarta, IndonesiaDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine Universitas Indonesia - Persahabatan Hospital, Jakarta, IndonesiaDivision of Rheumatology, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, IndonesiaDepartment of Community Medicine, Faculty of Medicine, Universitas Indonesia, JakartaPhysical Medicine and Rehabilitation, Anatomy Department, Faculty of Medicine, Universitas Gunadarma, Depok, Indonesia.Radiology Department, Persahabatan Hospital, Jakarta, IndonesiaDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine Universitas Indonesia - Persahabatan Hospital, Jakarta, IndonesiaLibrarian, Faculty of Medicine, Universitas Indonesia, Jakarta, IndonesiaDepartment of Rehabilitation Medicine, Gangnam Severance Hospital and Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, South KoreaDepartment of Rehabilitation Medicine, Gangnam Severance Hospital and Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine, Seoul, South Korea Background: This study aimed to determine the prediction equations for calculating maximal inspiratory pressure using spirometry and thoracic ultrasonography (USG) after COVID-19 with gastroesophageal reflux disease (GERD). Methods: This cross-sectional study was conducted from January to December 2022 and included Indonesian adults recruited by consecutive sampling after they developed COVID-19 with GERD symptoms. The following tests were used: spirometry (forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1); thoracic USG (left diaphragm excursion (LDE) and right diaphragm excursion (RDE); and respirometry (maximal inspiratory pressure (MIP). The data were analyzed using Pearson correlational analysis and multiple linear regression. Results: Sixty-two participants were recruited: mean age 37.23 ± 9.76 years and average MIP 49.85 ± 18.13 cmH2O. MIP correlated significantly with FVC (r = 0.307; p = 0.015), LDE (r = 0.249; p = 0.051), FEV1(r = 0.186; p = 0.147), and RDE (r = 0.156; p = 0.221). We developed two models based on their applicability. Model 1 provides an MIP prediction equation for health facilities that have only spirometry: 23.841 – (20.455 × FEV1) + (26.190 × FVC). Model 2 provides an MIP prediction equation for health facilities that have both spirometry and thoracic USG: 3.530 – (20.025 × FEV1) + (25.354 × FVC) + (4.819 × LDE). Conclusion: In this study, measures of respiratory function correlated significantly with diaphragm excursion. MIP can be predicted from spirometry and thoracic USG data. Healthcare facilities can choose the prediction equation model that best meets their situation. http://www.actamedindones.org/index.php/ijim/article/view/2675COVID-19prediction equationmaximum inspiratory pressurespirometrythoracic ultrasound |
| spellingShingle | Siti Chandra Widjanantie Ari Fahrial Syam Nury Nusdwinuringtyas Agus Dwi Susanto Rudy Hidayat Aria Kekalih Maria Regina Rachmawati Maryastuti Maryastuti Triya Damayanti Putri Prathiwi Won Ah Choi Seong Woong Kang Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study Acta Medica Indonesiana COVID-19 prediction equation maximum inspiratory pressure spirometry thoracic ultrasound |
| title | Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study |
| title_full | Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study |
| title_fullStr | Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study |
| title_full_unstemmed | Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study |
| title_short | Prediction Equations for Calculating Maximal Inspiratory Pressure from Spirometry and Thoracic Ultrasound After COVID-19 with Gastroesophageal Reflux Disease in Indonesian Adults: A Cross-sectional Study |
| title_sort | prediction equations for calculating maximal inspiratory pressure from spirometry and thoracic ultrasound after covid 19 with gastroesophageal reflux disease in indonesian adults a cross sectional study |
| topic | COVID-19 prediction equation maximum inspiratory pressure spirometry thoracic ultrasound |
| url | http://www.actamedindones.org/index.php/ijim/article/view/2675 |
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