Literature DB >> 19937982

Increasingly restrictive definitions of hyperkalemia outcomes in a database study: effect on incidence estimates.

Marsha A Raebel1, Colleen Ross, Craig Cheetham, Hans Petersen, Gwyn Saylor, David H Smith, Leslie A Wright, Douglas W Roblin, Stanley Xu.   

Abstract

PURPOSE: To determine the incidence of hyperkalemia-associated adverse outcomes among ambulatory patients with diabetes newly initiating renin-angiotensin-aldosterone system (RAAS) inhibitor therapy and to examine to what extent increasingly restrictive definitions of hyperkalemia-associated outcomes influenced incidence estimates.
METHODS: Retrospective cohort study of 27 355 individuals with diabetes who were new users of RAAS inhibitors at three integrated healthcare systems.
RESULTS: Using the least restrictive definition of hyperkalemia-associated outcome, an ambulatory visit (AV), inpatient hospitalization (IP), or emergency department (ED) visit co-occurring within 7 days of coded hyperkalemia diagnosis and/or potassium concentration of > or =5.5 mmol/L, the incidence rate of hyperkalemia was 30.1 per 1000 person-years (p-y). Restricting to only IP or ED visits co-occurring within 24 hours of coded diagnosis and/or potassium > or =6 mmol/L, the incidence rate was 10.2 per 1000 p-y. When this latter definition was further restricted by removing available potassium laboratory values, the incidence rate declined to 9.5 per 1000 p-y.
CONCLUSIONS: Modifying the definition of hyperkalemia-associated outcome resulted in up to threefold differences in incidence rate estimates. Our results demonstrate the value of including potassium laboratory results and AVs in identifying hyperkalemia from electronic data. Comparing incidence estimates across published studies requires consideration of differences in outcome definitions.

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Year:  2010        PMID: 19937982     DOI: 10.1002/pds.1882

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  4 in total

1.  The positive predictive value of a hyperkalemia diagnosis in automated health care data.

Authors:  Marsha A Raebel; Michael L Smith; Gwyn Saylor; Leslie A Wright; Craig Cheetham; Christopher M Blanchette; Stanley Xu
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-11       Impact factor: 2.890

Review 2.  Hyporeninemic hypoaldosteronism and diabetes mellitus: Pathophysiology assumptions, clinical aspects and implications for management.

Authors:  André Gustavo P Sousa; João Victor de Sousa Cabral; William Batah El-Feghaly; Luísa Silva de Sousa; Adriana Bezerra Nunes
Journal:  World J Diabetes       Date:  2016-03-10

3.  A novel scoring system for assessing the severity of electrolyte and acid-base disorders and predicting outcomes in hospitalized patients.

Authors:  Yimei Wang; Jiachang Hu; Xuemei Geng; Xiaoyan Zhang; Xialian Xu; Jing Lin; Jie Teng; Xiaoqiang Ding
Journal:  J Investig Med       Date:  2018-12-06       Impact factor: 2.895

4.  Impact of hyperkalaemia definition on incidence assessment: implications for epidemiological research based on a large cohort study in newly diagnosed heart failure patients in primary care.

Authors:  Mar Martín-Pérez; Ana Ruigómez; Alexander Michel; Luis A García Rodríguez
Journal:  BMC Fam Pract       Date:  2016-05-04       Impact factor: 2.497

  4 in total

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