Morbidity and mortality prediction in pediatric heart surgery: Physiological profiles and surgical complexity

被引:35
作者
Berger, John T. [1 ]
Holubkov, Richard [2 ]
Reeder, Ron [2 ]
Wessel, David L. [1 ]
Meert, Kathleen [3 ,5 ]
Berg, Robert A. [4 ]
Bell, Michael J. [5 ]
Tamburro, Robert [6 ]
Dean, J. Michael [3 ]
Pollack, Murray M. [1 ,7 ]
机构
[1] Univ Utah, Sch Med, Childrens Natl Med Ctr, Pediat, Salt Lake City, UT USA
[2] Univ Utah, Sch Med, Pediat, Salt Lake City, UT USA
[3] Childrens Hosp Michigan, Pediat, Detroit, MI 48201 USA
[4] Childrens Hosp Philadelphia, Pediat, Philadelphia, PA 19104 USA
[5] Childrens Hosp Philadelphia, Crit Care Med, Philadelphia, PA 19104 USA
[6] NIH, Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Pediat Trauma & Crit Illness Branch, Bethesda, MD USA
[7] George Washington Univ, Sch Med & Hlth Sci, Washington, DC 20052 USA
基金
美国国家卫生研究院;
关键词
severity of illness; congenital heart disease; pediatric heart surgery; pediatrics; outcome prediction; critical care; pediatric critical care; intensive care; pediatric intensive care; pediatric risk of mortality; quality; quality assessment; physiological status; morbidity; INTENSIVE-CARE MORTALITY; FUNCTIONAL STATUS SCALE; EMPIRICALLY BASED TOOL; IMPORTANT DETERMINANTS; RISK ADJUSTMENT; SCORE; DATABASE; OUTCOMES; INDEX; SEVERITY;
D O I
10.1016/j.jtcvs.2017.01.050
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives: Outcome prediction for pediatric heart surgery has focused on mortality but mortality has been significantly reduced over the past 2 decades. Clinical care practices now emphasize reducing morbidity. Physiology-based profiles assessed by the Pediatric Risk of Mortality (PRISM) score are associated with new significant functional morbidity detected at hospital discharge. Our aims were to assess the relationship between new functional morbidity and surgical risk categories (Risk Adjustment for Congenital Heart Surgery [RACHS] and Society for Thoracic Surgery Congenital Heart Surgery Database Mortality Risk [STAT]), measure the performance of 3-level (intact survival, survival with new functional morbidity, or death) and 2-level (survival or death) PRISM prediction algorithms, and assess whether including RACHSor STAT complexity categories improves the PRISM predictive performance. Methods: Patients (newborn to age 18 years) were randomly selected from 7 sites (December 2011-April 2013). Morbidity (using the Functional Status Scale) and mortality were assessed at hospital discharge. The most recently published PRISM algorithms were tested for goodness of fit, and discrimination with and without the RACHS and STAT complexity categories. Results: The mortality rate in the 1550 patients was 3.2%. Significant new functional morbidity rate occurred in 4.8%, increasing from 1.8% to 13.9%, 1.7%, and 12.9% from the lowest to the highest RACHS and STAT categories, respectively. The 3-level and 2-level PRISM models had satisfactory goodness of fit and substantial discriminative ability. Inclusion of RACHS and STAT complexity categories did not improve model performance. Conclusions: Both mortality and new, functional morbidity are important outcomes associated with surgical complexity and can be predicted using PRISM algorithms. Adding surgical complexity to the physiologic profiles does not improve predictor performance.
引用
收藏
页码:620 / +
页数:15
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