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American Heart Journal 2017-Apr

Noncardiovascular deaths are more common than cardiovascular deaths in patients with cardiovascular disease or cardiovascular risk factors and impaired glucose tolerance: Insights from the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) trial.

Перакладаць артыкулы могуць толькі зарэгістраваныя карыстальнікі
Увайсці / Зарэгістравацца
Спасылка захоўваецца ў буферы абмену
Abhinav Sharma
Flávio de Souza Brito
Jie-Lena Sun
Laine Thomas
Steven Haffner
Rury R Holman
Renato D Lopes

Ключавыя словы

Рэферат

BACKGROUND

Patients with impaired glucose tolerance have an elevated risk of cardiovascular (CV) death; however, the causes and risk factors associated with non-CV deaths are poorly understood.

METHODS

The NAVIGATOR trial enrolled 9,306 participants with impaired glucose tolerance and CV disease or at high CV risk, with a median follow-up of 6.4years. Using this population, we identified (1) the proportion of deaths attributed to CV, non-CV, and unknown causes, and (2) the risk factors associated with non-CV death.

RESULTS

During the NAVIGATOR trial follow-up, 622 patients died. Investigators reported 244 (39.2%) CV deaths, 313 (50.3%) non-CV deaths, and 65 (10.5%) deaths of unknown cause. Myocardial infarction was the leading cause of investigator-reported death (57/622 [9.2%]). Among non-CV deaths, the most commonly identified cause related to malignancy (177/313 [56.5%]). Using adjudicated causes of death, Cox proportional hazard models identified 3 independent prognostic markers that increased the risk of non-CV death: history of non-melanoma skin cancer (hazard ratio 2.67 [95% CI 1.65-4.33]; P<.0001), white blood cell count (1 unit >5000/mm3; 1.10 [1.02-1.18]; P=.011), and serum potassium levels (per 1mmol/L above any value; 1.67 [1.302.15]; P<.0001).

CONCLUSIONS

Despite the high baseline CV risk among patients in the NAVIGATOR trial, the most common cause of death was non-CV. The high burden of non-CV death in this population has potential implications for future CV event-driven trials.

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