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The ILD-GAP risk prediction model performs poorly in myositis-associated interstitial lung disease.
Brusca, Rebeccah M; Pinal-Fernandez, Iago; Psoter, Kevin; Paik, Julie J; Albayda, Jemima; Mecoli, Christopher; Tiniakou, Eleni; Mammen, Andrew L; Christopher-Stine, Lisa; Danoff, Sonye; Johnson, Cheilonda.
Afiliação
  • Brusca RM; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Pinal-Fernandez I; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA; National Institute of Arthritis and Musculoskeletal and Skin Disease, National Institute of Health, Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, 9000 Rockville P
  • Psoter K; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Paik JJ; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Albayda J; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Mecoli C; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Tiniakou E; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Mammen AL; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA; National Institute of Arthritis and Musculoskeletal and Skin Disease, National Institute of Health, Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, 9000 Rockville P
  • Christopher-Stine L; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Danoff S; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA.
  • Johnson C; Johns Hopkins University School of Medicine, 1830 East Monument Street, Suite 500, Baltimore, MD, 21224, USA. Electronic address: Cheilonda.Johnson@uphs.upenn.edu.
Respir Med ; 150: 63-65, 2019 04.
Article em En | MEDLINE | ID: mdl-30961952
PURPOSE: Myositis-associated interstitial lung disease (MA-ILD) is associated with increased mortality, but no prognostic model exists in this population. The ILD-GAP index was developed to predict mortality risk across all subtypes of chronic ILD. The purpose of this study was to validate the ILD-GAP risk prediction model in patients with MA-ILD. PROCEDURES: We completed a retrospective cross-sectional study of patients enrolled in the Johns Hopkins Myositis Center database between 2006 and 2017. Cumulative mortality rates were estimated using the Kaplan-Meier test. Model calibration was determined by using standardized mortality ratios of observed versus expected deaths. MAIN FINDINGS: 179 participants with MA-ILD were included. The mean baseline percent predicted forced vital capacity was 65.2 ±â€¯20.6%, forced expiratory volume in the first second 65.4 ±â€¯20.4%, and carbon monoxide diffusing capacity 61.6 ±â€¯20.0%. Thirty-two participants died (17.9%). The ILD-GAP model had poor discriminative performance and calibration. CONCLUSIONS: The ILD-GAP risk prediction model is a poor predictor of mortality among individuals with MA-ILD. The identification of a better predictive model for MA-ILD is needed to help guide care in this patient population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article