Department of Cardiology, Harefield Hospital, Guys & St Thomas' Foundation Trust, London, UK; National Heart and Lung Institute, Imperial College London, UK.
Department of Cardiothoracic Surgery, Hospital Universitario La Princesa, Madrid, Spain.
Cardiovasc Revasc Med. 2022 Aug;41:129-135. doi: 10.1016/j.carrev.2021.12.008. Epub 2021 Dec 14.
To create a simple scoring system that can estimate 30-day mortality in patients requiring left-sided Impella implantation as standalone mechanical circulatory support (MCS).
We retrospectively analysed 79 consecutive patients who required left-sided Impella MCS monotherapy. Regression analysis was used to elucidate significant associations between biochemical markers before Impella implantation and all-cause mortality at 30 days. Using these factors, a simple additive scoring system was created using a previously validated approach.
The BALLAR scoring system was created. Patients are assigned points based upon biochemical markers. These are summed and the final points tally provides an estimate of 30-day mortality. The points are assigned as follows: Lactate (mmol/l): ≤1.9: 0 points, 2-4.9: 1 Point, ≥5: 4 Points Creatinine Clearance (ml/min): ≤29.9: 6 points, 30-59.9: 4 points, 60-89.9: 1 point, ≥90: 0 points Serum Albumin (mmol/l): <25: 6 points, 25-34.9: 3 points, ≥35: 0 points Base Excess (mmol/L): < -2: 2 points, ≥-2: 0 points The total score can be used to estimate the probability of death at 30 days. A score less than 6 predicts a 30-day mortality of under 5%, whereas a score over 11 predicts a greater than 95% chance of death within 30 days.
Using this simple heuristic predicted 89% of 30-day deaths in our cohort. All the misclassifications were in the intermediate probability range (scores 5-11). This simple scoring system gives an effective estimate of the probability of death at 30 days in our cohort of patients.
创建一个简单的评分系统,以评估需要左侧 Impella 植入作为独立机械循环支持(MCS)的患者的 30 天死亡率。
我们回顾性分析了 79 例连续接受左侧 Impella MCS 单一治疗的患者。回归分析用于阐明 Impella 植入前生化标志物与 30 天全因死亡率之间的显著关联。使用这些因素,使用先前验证的方法创建了一个简单的加性评分系统。
创建了 BALLAR 评分系统。根据生化标志物为患者分配分数。将这些分数相加,最终得分提供了 30 天死亡率的估计值。评分如下:乳酸(mmol/L):≤1.9:0 分,2-4.9:1 分,≥5:4 分;肌酐清除率(ml/min):≤29.9:6 分,30-59.9:4 分,60-89.9:1 分,≥90:0 分;血清白蛋白(mmol/L):<25:6 分,25-34.9:3 分,≥35:0 分;碱剩余(mmol/L):< -2:2 分,≥-2:0 分。总得分可用于估计 30 天的死亡概率。得分低于 6 分预测 30 天死亡率低于 5%,而得分高于 11 分预测 30 天内死亡的可能性大于 95%。
使用这种简单的启发式方法预测了我们队列中 89%的 30 天死亡。所有错误分类都在中间概率范围内(得分 5-11)。这个简单的评分系统为我们的患者队列提供了一个有效估计 30 天死亡率的方法。