Liew Lydia Q, Teo Wei Wei, Seet Edwin, Lean Lyn Li, Paramasivan Ambika, Tan Joanna, Lim Irene, Wang Jiexun, Ti Lian Kah
Department of Anaesthesia, National University Health System, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore.
Department of Anaesthesia, Khoo Teck Puat Hospital, 90 Yishun Central, Singapore, 768828, Singapore.
BMC Surg. 2020 Jan 13;20(1):11. doi: 10.1186/s12893-019-0654-x.
While short-term perioperative outcomes have been well studied in Western surgical populations, the aim of this study is to look at the one-year perioperative mortality and its associated factors in an Asian surgical population after non-cardiac surgery.
A retrospective cohort study of 2163 patients aged above 45 undergoing non-cardiac surgery in a university-affiliated tertiary hospital from January to July 2015 was performed. Relevant demographic, clinical and surgical data were analysed to elicit their relationship to mortality at one year after surgery. A univariate analysis was first performed to identify significant variables with p-values ≤ 0.2, which were then analysed using Firth multiple logistic regression to calculate the adjusted odds ratio.
The one-year mortality in our surgical population was 5.9%. The significant factors that increased one-year mortality include smoking (adjusted OR 2.17 (1.02-4.45), p = 0.044), anaemia (adjusted OR 1.32 (1.16-1.47), p < 0.001, for every 1 g/dL drop in haemoglobin level), lower BMI (adjusted OR 0.93 (0.87-0.98), p = 0.005, for every 1 point increase in BMI), Malay and Indian ethnicity (adjusted OR 2.68 (1.53-4.65), p = 0.001), peripheral vascular disease (adjusted OR 4.21 (1.62-10.38), p = 0.004), advanced age (adjusted OR 1.04 (1.01-1.06), p = 0.004, for every one year increase in age), emergency surgery (adjusted OR 2.26 (1.29-3.15), p = 0.005) and malignancy (adjusted OR 3.20 (1.85-5.52), p < 0.001).
Our study shows that modifiable risk factors such as malnutrition, anaemia and smoking which affect short term mortality extend beyond the immediate perioperative period into longer term outcomes. Identification and optimization of this subset of patients are therefore vital. Further similar large studies should be done to develop a risk scoring system for post-operative long-term outcomes. This would aid clinicians in risk stratification, counselling and surgical planning, which will help in patients' decision making and care planning.
虽然西方外科手术人群的短期围手术期结局已得到充分研究,但本研究旨在观察亚洲外科手术人群非心脏手术后的一年期围手术期死亡率及其相关因素。
对2015年1月至7月在一所大学附属三级医院接受非心脏手术的2163例45岁以上患者进行回顾性队列研究。分析相关的人口统计学、临床和手术数据,以确定它们与术后一年死亡率的关系。首先进行单因素分析,以确定p值≤0.2的显著变量,然后使用Firth多元逻辑回归分析来计算调整后的比值比。
我们手术人群的一年期死亡率为5.9%。增加一年期死亡率的显著因素包括吸烟(调整后的比值比为2.17(1.02 - 4.45),p = 0.044)、贫血(血红蛋白水平每下降1 g/dL,调整后的比值比为1.32(1.16 - 1.47),p < 0.001)、较低的体重指数(体重指数每增加1个单位,调整后的比值比为0.93(0.87 - 0.98),p = 0.005)、马来族和印度族裔(调整后的比值比为2.68(1.53 - 4.65),p = 0.001)、外周血管疾病(调整后的比值比为4.21(1.62 - 10.38),p = 0.004)、高龄(年龄每增加一岁,调整后的比值比为1.04(1.01 - 1.06),p = 0.004)、急诊手术(调整后的比值比为2.26(1.29 - 3.15),p = 0.005)和恶性肿瘤(调整后的比值比为3.20(1.85 - 5.52),p < 0.001)。
我们的研究表明,影响短期死亡率的可改变风险因素如营养不良、贫血和吸烟,不仅在围手术期即刻起作用,还会影响长期结局。因此,识别并优化这部分患者至关重要。应开展更多类似的大型研究,以建立术后长期结局的风险评分系统。这将有助于临床医生进行风险分层、咨询和手术规划,从而帮助患者进行决策和护理规划。