Keity Lamary Souza Silva, Alessandra de Carvalho Bastone, Matheus Ribeiro Ávila, Marcus Alessandro de Alcantara, Renato Guilherme Trede Filho, Luciano Fonseca Lemos de Oliveira, Whesley Tanor Silva, Lucas Fróis Fernandes de Oliveira, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda, Vanessa Pereira Lima, Sanny Cristina de Castro Faria, Mauro Felippe Felix Mediano, Pedro Henrique Scheidt Figueiredo, Henrique Silveira Costa
{"title":"呼吸肌强度在识别南美锥虫病心肌病患者收缩功能障碍方面的准确性。","authors":"Keity Lamary Souza Silva, Alessandra de Carvalho Bastone, Matheus Ribeiro Ávila, Marcus Alessandro de Alcantara, Renato Guilherme Trede Filho, Luciano Fonseca Lemos de Oliveira, Whesley Tanor Silva, Lucas Fróis Fernandes de Oliveira, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda, Vanessa Pereira Lima, Sanny Cristina de Castro Faria, Mauro Felippe Felix Mediano, Pedro Henrique Scheidt Figueiredo, Henrique Silveira Costa","doi":"10.1080/09638288.2024.2425749","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To verify the accuracy of respiratory muscle strength in identifying systolic dysfunction in patients with Chagas cardiomyopathy (ChC), and to validate optimal cutoff points based on respiratory muscle strength.</p><p><strong>Methods: </strong>First, 72 patients with ChC were enrolled and underwent echocardiography and assessment of respiratory muscle strength by manovacuometry. Inspiratory and expiratory muscle strength was defined by maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP), respectively. Systolic dysfunction was defined by left ventricular ejection fraction (LVEF) values below 52% (for men) or 54% (for women). Then, the validation of the cutoff points was verified by the percentage of true and false positives in another 30 ChC patients.</p><p><strong>Results: </strong>The MIP showed adequate accuracy (<i>p</i> = 0.004) in identifying patients with systolic dysfunction (AUC = 0.73). The MEP did not show satisfactory accuracy in identifying those patients. The optimal MIP cutoff point to identify systolic dysfunction in ChC was ≤62 cmH<sub>2</sub>O, with a positive predictive value of 87%. In the validation analysis, MIP values below 62 cmH<sub>2</sub>O were able to identify 77% of patients with systolic dysfunction.</p><p><strong>Conclusion: </strong>MIP has potential value in identifying systolic dysfunction in patients with ChC. This finding may aid in screening and risk stratification when echocardiography is not available.</p>","PeriodicalId":50575,"journal":{"name":"Disability and Rehabilitation","volume":" ","pages":"3436-3440"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The accuracy of respiratory muscle strength in identifying systolic dysfunction in patients with Chagas cardiomyopathy.\",\"authors\":\"Keity Lamary Souza Silva, Alessandra de Carvalho Bastone, Matheus Ribeiro Ávila, Marcus Alessandro de Alcantara, Renato Guilherme Trede Filho, Luciano Fonseca Lemos de Oliveira, Whesley Tanor Silva, Lucas Fróis Fernandes de Oliveira, Vanessa Amaral Mendonça, Ana Cristina Rodrigues Lacerda, Vanessa Pereira Lima, Sanny Cristina de Castro Faria, Mauro Felippe Felix Mediano, Pedro Henrique Scheidt Figueiredo, Henrique Silveira Costa\",\"doi\":\"10.1080/09638288.2024.2425749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To verify the accuracy of respiratory muscle strength in identifying systolic dysfunction in patients with Chagas cardiomyopathy (ChC), and to validate optimal cutoff points based on respiratory muscle strength.</p><p><strong>Methods: </strong>First, 72 patients with ChC were enrolled and underwent echocardiography and assessment of respiratory muscle strength by manovacuometry. Inspiratory and expiratory muscle strength was defined by maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP), respectively. Systolic dysfunction was defined by left ventricular ejection fraction (LVEF) values below 52% (for men) or 54% (for women). Then, the validation of the cutoff points was verified by the percentage of true and false positives in another 30 ChC patients.</p><p><strong>Results: </strong>The MIP showed adequate accuracy (<i>p</i> = 0.004) in identifying patients with systolic dysfunction (AUC = 0.73). The MEP did not show satisfactory accuracy in identifying those patients. The optimal MIP cutoff point to identify systolic dysfunction in ChC was ≤62 cmH<sub>2</sub>O, with a positive predictive value of 87%. In the validation analysis, MIP values below 62 cmH<sub>2</sub>O were able to identify 77% of patients with systolic dysfunction.</p><p><strong>Conclusion: </strong>MIP has potential value in identifying systolic dysfunction in patients with ChC. This finding may aid in screening and risk stratification when echocardiography is not available.</p>\",\"PeriodicalId\":50575,\"journal\":{\"name\":\"Disability and Rehabilitation\",\"volume\":\" \",\"pages\":\"3436-3440\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disability and Rehabilitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/09638288.2024.2425749\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disability and Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/09638288.2024.2425749","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
The accuracy of respiratory muscle strength in identifying systolic dysfunction in patients with Chagas cardiomyopathy.
Purpose: To verify the accuracy of respiratory muscle strength in identifying systolic dysfunction in patients with Chagas cardiomyopathy (ChC), and to validate optimal cutoff points based on respiratory muscle strength.
Methods: First, 72 patients with ChC were enrolled and underwent echocardiography and assessment of respiratory muscle strength by manovacuometry. Inspiratory and expiratory muscle strength was defined by maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP), respectively. Systolic dysfunction was defined by left ventricular ejection fraction (LVEF) values below 52% (for men) or 54% (for women). Then, the validation of the cutoff points was verified by the percentage of true and false positives in another 30 ChC patients.
Results: The MIP showed adequate accuracy (p = 0.004) in identifying patients with systolic dysfunction (AUC = 0.73). The MEP did not show satisfactory accuracy in identifying those patients. The optimal MIP cutoff point to identify systolic dysfunction in ChC was ≤62 cmH2O, with a positive predictive value of 87%. In the validation analysis, MIP values below 62 cmH2O were able to identify 77% of patients with systolic dysfunction.
Conclusion: MIP has potential value in identifying systolic dysfunction in patients with ChC. This finding may aid in screening and risk stratification when echocardiography is not available.
期刊介绍：
Disability and Rehabilitation along with Disability and Rehabilitation: Assistive Technology are international multidisciplinary journals which seek to encourage a better understanding of all aspects of disability and to promote rehabilitation science, practice and policy aspects of the rehabilitation process.
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