Clarke John R, Ragone Andrew V, Greenwald Lloyd
Department of Surgery, Drexel University, Philadelphia, Pennsylvania, USA.
J Trauma. 2005 Sep;59(3):563-7; discussion 567-9.
We conducted a comparison of methods for predicting survival using survival risk ratios (SRRs), including new comparisons based on International Classification of Diseases, Ninth Revision (ICD-9) versus Abbreviated Injury Scale (AIS) six-digit codes.
From the Pennsylvania trauma center's registry, all direct trauma admissions were collected through June 22, 1999. Patients with no comorbid medical diagnoses and both ICD-9 and AIS injury codes were used for comparisons based on a single set of data. SRRs for ICD-9 and then for AIS diagnostic codes were each calculated two ways: from the survival rate of patients with each diagnosis and when each diagnosis was an isolated diagnosis. Probabilities of survival for the cohort were calculated using each set of SRRs by the multiplicative ICISS method and, where appropriate, the minimum SRR method. These prediction sets were then internally validated against actual survival by the Hosmer-Lemeshow goodness-of-fit statistic.
The 41,364 patients had 1,224 different ICD-9 injury diagnoses in 32,261 combinations and 1,263 corresponding AIS injury diagnoses in 31,755 combinations, ranging from 1 to 27 injuries per patient. All conventional ICD-9-based combinations of SRRs and methods had better Hosmer-Lemeshow goodness-of-fit statistic fits than their AIS-based counterparts. The minimum SRR method produced better calibration than the multiplicative methods, presumably because it did not magnify inaccuracies in the SRRs that might occur with multiplication.
Predictions of survival based on anatomic injury alone can be performed using ICD-9 codes, with no advantage from extra coding of AIS diagnoses. Predictions based on the single worst SRR were closer to actual outcomes than those based on multiplying SRRs.
我们使用生存风险比(SRR)对预测生存的方法进行了比较,包括基于国际疾病分类第九版(ICD - 9)与简明损伤定级标准(AIS)六位编码的新比较。
从宾夕法尼亚创伤中心的登记处收集了截至1999年6月22日的所有直接创伤入院患者。将没有合并内科诊断且同时有ICD - 9和AIS损伤编码的患者用于基于单一数据集的比较。ICD - 9和AIS诊断编码的SRR分别通过两种方式计算:从每种诊断患者的生存率以及每种诊断为孤立诊断时的生存率。使用乘法ICISS方法以及在适当情况下使用最小SRR方法,通过每组SRR计算队列的生存概率。然后通过Hosmer - Lemeshow拟合优度统计量对这些预测集与实际生存情况进行内部验证。
41364例患者有1224种不同的ICD - 9损伤诊断,组合方式为32261种,以及1263种相应的AIS损伤诊断,组合方式为31755种,每位患者的损伤数从1至27种不等。所有基于传统ICD - 9的SRR组合和方法的Hosmer - Lemeshow拟合优度统计量拟合情况均优于基于AIS的对应组合和方法。最小SRR方法比乘法方法产生了更好的校准效果,可能是因为它不会放大SRR中因乘法运算可能出现的不准确之处。
仅基于解剖损伤的生存预测可使用ICD - 9编码进行,AIS诊断的额外编码并无优势。基于单个最差SRR的预测比基于SRR相乘的预测更接近实际结果。