The Relationship Between Serum Angiotensin Converting Enzyme Level and the Decision to Escalate Treatment of Sarcoidosis.


Journal

Lung
ISSN: 1432-1750
Titre abrégé: Lung
Pays: United States
ID NLM: 7701875

Informations de publication

Date de publication:
08 2023
Historique:
received: 29 04 2023
accepted: 19 06 2023
medline: 24 8 2023
pubmed: 28 6 2023
entrez: 27 6 2023
Statut: ppublish

Résumé

We performed a retrospective analysis of a sarcoidosis cohort who had sACE obtained at their initial clinic visit, but the treating physician was blinded to the results. We examined the relationship between sACE and the treating physician's decision to escalate sarcoidosis treatment. Treatment was considered escalated if the prednisone dose was increased or if the prednisone dose was not changed but an additional anti-sarcoidosis drug was added or the dose was increased. 561 sarcoidosis patients were analyzed. The most common target organ was the lung (84%). Using a cut-off of > 82 units/L for an elevated sACE, 31/82 (38%) with an elevated sACE had treatment escalation whereas 91/497 (18%) had treatment escalation with a normal sACE (p < 0.0001). For the need of treatment escalation, a sACE (cut-off of > 82) had sensitivity 0.25, specificity 0.89, positive predictive value 0.38, negative predictive value 0.81. These results were not appreciably different using other sACE cut-off values such as 70, 80, 90, or 100. A multivariable logistic regression model that included demographics, the target organ, spirometry results estimated that sACE level and lower FVC were significantly associated with the likelihood of treatment escalation. These findings held when sACE > 82 replaced sACE level in the multivariable logistic regression model. Although there was a strong correlation between sACE at the initial sarcoidosis clinic visit and subsequent treatment escalation of sarcoidosis, the predictive power was such that sACE is not adequately reliable to be used in isolation to make this determination.

Identifiants

pubmed: 37369854
doi: 10.1007/s00408-023-00629-3
pii: 10.1007/s00408-023-00629-3
doi:

Substances chimiques

Prednisone VB0R961HZT
Peptidyl-Dipeptidase A EC 3.4.15.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

381-386

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Boris Shkolnik (B)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Rou Sore (R)

Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, USA.

Muhammad Salick (M)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Gowthami Kobbari (G)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Sana Ghalib (S)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Anoosh S Parimi (AS)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Kenneth M Fish (KM)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Robert Deluca (R)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA.

Recai Yucel (R)

Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, USA.

Marc A Judson (MA)

Department of Medicine, Division of Pulmonary and Critical Care Medicine MC-91, Albany Medical College, 16 New Scotland Avenue, Albany, NY, 12208, USA. judsonm@amc.edu.

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Classifications MeSH