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开发一种术后发病率评分系统,以评估心脏手术后的总发病率负担。

The development of a postoperative morbidity score to assess total morbidity burden after cardiac surgery.

机构信息

Institute for Human Health and Performance, University College London, 74 Huntley Street, London, UK.

出版信息

J Clin Epidemiol. 2012 Apr;65(4):423-33. doi: 10.1016/j.jclinepi.2011.11.004.

Abstract

OBJECTIVE

To develop a tool for identifying and quantifying morbidity following cardiac surgery (cardiac postoperative morbidity score [C-POMS]).

STUDY DESIGN AND SETTING

Morbidity was prospectively assessed in 450 cardiac surgery patients on postoperative days 1, 3, 5, 8, and 15 using POMS criteria (nine postoperative morbidity domains in general surgical patients) and cardiac-specific variables (from expert panel). Other morbidities were noted as free text and included if prevalence was more than 5%, missingness less than 5%, and mean expert-rated severity-importance index score more than 8. Construct validity was assessed by expert panel review, Cronbach's alpha (internal consistency), and linear regression (predictive ability of C-POMS for length of stay [LOS]).

RESULTS

A 13-domain model was derived. Internal consistency (>0.7) on D3-D15 permits use as a summative score of total morbidity burden. Mean C-POMS scores were 3.4 (D3), 2.6 (D5), 3.4 (D8), and 3.8 (D15). Patient LOS was 4.6 days (P=0.012), 5.3 days (P=0.001), and 7.6 days (P=0.135) longer in patients with C-POMS-defined morbidity on D3, D5, D8, and D15, respectively, than in those without. For every unit increase in C-POMS summary score, subsequent LOS increased by 1.7 (D3), 2.2 (D5), 4.5 (D8), and 6.2 (D15) days (all P=0.000).

CONCLUSION

C-POMS is the first validated tool for identifying total morbidity burden after cardiac surgery. However, further external validation is warranted.

摘要

目的

开发一种用于识别和量化心脏手术后发病率的工具(心脏术后发病率评分[C-POMS])。

研究设计和设置

使用 POMS 标准(普通外科患者的九个术后发病域)和心脏特异性变量(来自专家小组)前瞻性评估 450 例心脏手术患者在术后第 1、3、5、8 和 15 天的发病率。其他发病率以自由文本形式记录,如果发病率超过 5%,缺失率低于 5%,且专家平均评定严重程度-重要性指数评分高于 8,则包括在内。通过专家小组审查、Cronbach's alpha(内部一致性)和线性回归(C-POMS 对住院时间[LOS]的预测能力)评估构建效度。

结果

得出了一个 13 域模型。D3-D15 的内部一致性(>0.7)允许作为总发病率负担的综合评分使用。平均 C-POMS 评分分别为 3.4(D3)、2.6(D5)、3.4(D8)和 3.8(D15)。在 D3、D5、D8 和 D15 分别有 C-POMS 定义发病率的患者中,患者的 LOS 分别为 4.6 天(P=0.012)、5.3 天(P=0.001)和 7.6 天(P=0.135),比无发病率的患者长。C-POMS 综合评分每增加一个单位,随后的 LOS 分别增加 1.7(D3)、2.2(D5)、4.5(D8)和 6.2(D15)天(均 P=0.000)。

结论

C-POMS 是第一个用于识别心脏手术后总发病率负担的验证工具。但是,还需要进一步的外部验证。

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