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The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma.

The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Research Abstract Details 

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  • The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Abstract Text:

    rasa zarnegarRasa Zarnegar,william f youngWilliam F Young,james leeJames Lee,matthew p sweetMatthew P Sweet,electron kebebewElectron Kebebew,david r farleyDavid R Farley,geoffrey b thompsonGeoffrey B Thompson,clive s grantClive S Grant,orlo h clarkOrlo H Clark,quan-yang duhQuan-Yang Duh,

    OBJECTIVE: To develop a prediction model using information readily available, at clinical presentation, which could determine whether patients with aldosterone-producing adenomas would have complete resolution of hypertension after adrenalectomy. BACKGROUND: Primary aldosteronism is the most common curable cause of secondary hypertension. However, a large number of patients continue to require antihypertensive medications to control their blood pressure. Differentiating patients that will have complete resolution of hypertension without the need for antihypertensive medications from patients that will require continued use of antihypertensive medications is difficult before adrenalectomy. METHODS: The predictive logistic regression model was derived using data on 100 patients who underwent adrenalectomy for primary aldosteronism at one tertiary medical center and was externally validated using an independent series of 67 patients from another center. RESULTS: Clinical features were similar for patients in the derivation and validation groups. Four readily available predictors (2 or fewer antihypertensive medications, body mass index < or =25 kg/m, duration of hypertension < or =6 years, and female sex) yielded the best predictive model for complete resolution of hypertension after adrenalectomy. Based on the resulting 4-item aldosteronoma resolution score (ARS), 3 likelihood levels for complete resolution were identified: low (0-1), medium (2-3), and high (4-5) with a predictive accuracy of 27%, 46%, and 75%, respectively. CONCLUSION: The ARS accurately identifies individuals at low (ARS < or =1) or high (ARS > or =4) likelihood of complete resolution of hypertension without further need of lifelong antihypertensive medications after adrenalectomy for aldosteronoma. This scoring system can help clinicians objectively inform patients of likely clinical outcomes before surgical intervention.

    The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Publishing Authors By Initials

    r zarnegarR Zarnegar,wf youngWF Young,j leeJ Lee,mp sweetMP Sweet,e kebebewE Kebebew,dr farleyDR Farley,gb thompsonGB Thompson,cs grantCS Grant,oh clarkOH Clark,qy duhQY Duh,

    For similar epidemiologic factors: sex factors research abstracts see: epidemiologic factors: sex factors research

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    The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Annals of surgery

    VOLUME: 247

    Page Numbers: 511-8

    Journal Abbreviation: Ann. Surg.

    ISSN: 0003-4932

    DAY: 21

    MONTH: Mar

    YEAR: 2008

    The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 372354

    The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma. Keywords Mesh Terms:

    KEYWORDS: Sex Factors

    MESH TERMS: therapy

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    Grant and Affiliation Information for The aldosteronoma resolution score: predicting complete resolution of hypertension after adrenalectomy for aldosteronoma.

    AFFILIATION: Department of Surgery, Weill Cornell Medical College, New York, NY 10021, USA. raz2002@med.cornell.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Ann Surg

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