Comparison and combination of three data sources from patient medical records to determine optimal quantification of postoperative morbidity according to the Clavien Dindo Classification and the Comprehensive Complication Index. A prospective study

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Abstract

Introduction

It is currently unknown which data sources from the clinical history, or combination thereof, should be evaluated to achieve the most complete calculation of postoperative complications (PC).

The objectives of this study were: to analyze the morbidity and mortality of 200 consecutive patients undergoing major surgery, to determine which data sources or combination collect the maximum morbidity, and to determine the accuracy of the morbidity reflected in the discharge report.

Methods

Observational and prospective cohort study.

The sum of all PC found in the combined review of medical notes, nursing notes, and a specific form was considered the gold standard. PC were classified according to the Clavien Dindo Classification and the Comprehensive Complication Index (CCI).

Results

The percentage of patients who presented PC according to the gold standard, medical notes, nursing notes and form were: 43.5%, 37.5%, 35% and 18.7% respectively.

The combination of sources improved CCI agreement by 8%–40% in the overall series and 39.1–89.7 % in patients with PC. The correct recording of PC was inversely proportional to the complexity of the surgery, and the combination of sources increased the degree of agreement with the gold standard by 35 %–67.5% in operations of greater complexity.

The CDC and CCI of the discharge report coincided with the gold-standard values in patients with PC by 46.8% and 18.2%, respectively.

Conclusions

The combination of data sources, particularly medical and nursing notes, considerably increases the quantification of PC in general, most notably in complex interventions.

Abstract Image

根据克拉维恩-丁多分类法和综合并发症指数,比较并结合患者病历中的三种数据来源,确定术后发病率的最佳量化方法。一项前瞻性研究。
导言:目前尚不清楚应评估临床病史中的哪些数据源或其组合,以实现最完整的术后并发症(PC)计算。本研究的目的是:分析连续接受大手术的 200 名患者的发病率和死亡率,确定哪些数据源或数据源组合收集的发病率最高,并确定出院报告中反映的发病率的准确性:方法:观察性和前瞻性队列研究。方法:观察性和前瞻性队列研究,将综合审查医疗记录、护理记录和特定表格中发现的所有 PC 的总和作为金标准。PC根据克拉维恩-丁多分类法和综合并发症指数(CCI)进行分类:根据金标准、医疗记录、护理记录和表格,出现 PC 的患者比例分别为:43.5%、37.5%、37.5%、43.5%、37.5%、37.5%:分别为 43.5%、37.5%、35% 和 18.7%。在整个系列中,综合使用各种来源的数据可将 CCI 的一致性提高 8%-40%,在 PC 患者中的一致性提高 39.1%-89.7%。PC 的正确记录与手术的复杂程度成反比,在复杂程度较高的手术中,联合使用数据源可将与金标准的一致性提高 35%-67.5%。出院报告中的CDC和CCI与PC患者黄金标准值的吻合度分别为46.8%和18.2%:结论:结合数据源,尤其是医疗和护理记录,可大大提高 PC 的量化程度,尤其是在复杂的介入手术中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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