Renal Division, Brigham and Women's Hospital, Boston, MA 02115, USA.
Intensive Care Med. 2012 Nov;38(11):1834-42. doi: 10.1007/s00134-012-2636-7. Epub 2012 Jul 18.
To investigate the association between potassium concentration at the initiation of critical care and all-cause mortality.
We performed a retrospective observational study on 39,705 patients, age ≥18 years, who received critical care between 1997 and 2007 in two tertiary care hospitals in Boston, Massachusetts. The exposure of interest was the highest potassium concentration on the day of critical care initiation and categorized a priori as 4.0-4.5, 4.5-5.0, 5.0-5.5, 5.5-6.0, 6.0-6.5, or ≥6.5 mEq/l. Logistic regression examined death by days 30, 90, and 365 post-critical care initiation, and in-hospital mortality. Adjusted odds ratios were estimated by multivariable logistic regression models.
The potassium concentration was a strong predictor of all-cause mortality 30 days following critical care initiation with a significant risk gradient across potassium groups following multivariable adjustment: K = 4.5-5.0 mEq/l OR 1.25 (95 % CI, 1.16-1.35; P < 0.0001); K = 5.0-5.5 mEq/l OR 1.42 (95 % CI, 1.29-1.56; P < 0.0001); K = 5.5-6.0 mEq/l OR 1.67 (95 % CI, 1.47-1.89; P < 0.0001); K = 6.0-6.5 mEq/l OR 1.63 (95 % CI, 1.36-1.95; P < 0.0001); K > 6.5 mEq/l OR 1.72 (95 % CI, 1.49-1.99; P < 0.0001); all relative to patients with K = 4.0-4.5 mEq/l. Similar significant associations post multivariable adjustments are seen with in-hospital mortality and death by days 90 and 365 post-critical care initiation. In patients whose hyperkalemia decreases ≥1 mEq/l in 48 h post-critical care initiation, the association between high potassium levels and mortality is no longer significant.
Our study demonstrates that a patient's potassium level at critical care initiation is robustly associated with the risk of death even at moderate increases above normal.
研究重症监护开始时钾浓度与全因死亡率之间的关系。
我们对 1997 年至 2007 年期间在马萨诸塞州波士顿的两家三级护理医院接受重症监护的 39705 名年龄≥18 岁的患者进行了回顾性观察研究。感兴趣的暴露是重症监护开始当天的最高钾浓度,并预先分为 4.0-4.5、4.5-5.0、5.0-5.5、5.5-6.0、6.0-6.5 或≥6.5mEq/l。Logistic 回归分析了重症监护后 30、90 和 365 天的死亡情况以及住院死亡率。通过多变量逻辑回归模型估计调整后的优势比。
钾浓度是重症监护后 30 天全因死亡率的一个强有力的预测因素,在多变量调整后,钾浓度组之间存在显著的风险梯度:K=4.5-5.0mEq/l,OR 1.25(95%可信区间,1.16-1.35;P<0.0001);K=5.0-5.5mEq/l,OR 1.42(95%可信区间,1.29-1.56;P<0.0001);K=5.5-6.0mEq/l,OR 1.67(95%可信区间,1.47-1.89;P<0.0001);K=6.0-6.5mEq/l,OR 1.63(95%可信区间,1.36-1.95;P<0.0001);K>6.5mEq/l,OR 1.72(95%可信区间,1.49-1.99;P<0.0001);与 K=4.0-4.5mEq/l 相比。在多变量调整后,住院死亡率和重症监护后 90 天和 365 天的死亡也存在类似的显著相关性。在重症监护开始后 48 小时内血钾降低≥1mEq/l 的患者中,高钾水平与死亡率之间的关联不再显著。
我们的研究表明,患者在重症监护开始时的钾水平与死亡风险密切相关,即使在正常水平以上略有升高也是如此。