Nomogram-Based Preoperative Score for Predicting Clinical Outcome in Unilateral Primary Aldosteronism.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 12 2020
Historique:
received: 03 06 2020
accepted: 05 09 2020
pubmed: 9 9 2020
medline: 27 2 2021
entrez: 8 9 2020
Statut: ppublish

Résumé

More than half of patients diagnosed with unilateral primary aldosteronism (UPA) suffer from persisting hypertension after unilateral adrenalectomy. The objective of this work is to develop and validate a nomogram-based preoperative score (NBPS) to predict clinical outcomes after unilateral adrenalectomy for UPA. The NBPS was developed in an Asian cohort by incorporating predictors independently associated with remission of hypertension after unilateral adrenalectomy for UPA and validated in a Caucasian cohort. Participants comprised patients with UPA achieving complete biochemical success after unilateral adrenalectomy. Measurements included the predictive performance of the NBPS compared with 2 previously developed outcome prediction scores: aldosteronoma resolution score (ARS) and primary aldosteronism surgical outcome (PASO) score. Ninety-seven of 150 (64.7%) patients achieved complete clinical success after unilateral adrenalectomy in the training cohort and 57 out of 165 (34.5%) in the validation cohort. A nomogram was established incorporating sex, duration of hypertension, aldosterone-to-renin ratio, and target organ damage. The nomogram showed good C indices and calibration curves both in Asian and Caucasian cohorts. The area under the receiver operating characteristic curve (AUC) of the NBPS for predicting hypertension remission in the training cohort was 0.853 (0.786-0.905), which was superior to the ARS (0.745 [0.667-0.812], P = .019) and PASO score (0.747 [0.670-0.815], P = .012). The AUC of the NBPS in the validation cohort was 0.830 (0.764-0.884), which was higher than the ARS (0.745 [95% CI, 0.672-0.810], P = .045), but not significantly different from the PASO score (0.825 [95% CI, 0.758-0.880], P = .911). The NBPS is useful in predicting clinical outcome for UPA patients, especially in the Asian population.

Identifiants

pubmed: 32898224
pii: 5902972
doi: 10.1210/clinem/dgaa634
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT03224312']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Yi Yang (Y)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Tracy Ann Williams (TA)

Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany.
Division of Internal Medicine and Hypertension Unit, Department of Medical Sciences, University of Torino, Italy.

Ying Song (Y)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Shumin Yang (S)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Wenwen He (W)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Kanran Wang (K)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Qingfeng Cheng (Q)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Linqiang Ma (L)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Ting Luo (T)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Jun Yang (J)

Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Victoria, Australia.
Department of Medicine, Monash University, Victoria, Australia.

Martin Reincke (M)

Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany.

Jacopo Burrello (J)

Division of Internal Medicine and Hypertension Unit, Department of Medical Sciences, University of Torino, Italy.

Qifu Li (Q)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Paolo Mulatero (P)

Division of Internal Medicine and Hypertension Unit, Department of Medical Sciences, University of Torino, Italy.

Jinbo Hu (J)

Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

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Classifications MeSH