INTERMACS profiles and modifiers: Heterogeneity of patient classification and the impact of modifiers on predicting patient outcome.
INTERMACS profiles and modifiers: Heterogeneity of patient classification and the impact of modifiers on predicting patient outcome.
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DOI:
10.1016/j.healun.2015.10.037
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发表时间:
2016-04
期刊:
影响因子:
--
通讯作者:
Salerno C
中科院分区:
文献类型:
--
作者:
Cowger J;Shah P;Stulak J;Maltais S;Aaronson KD;Kirklin JK;Pagani FD;Salerno C
INTERMACS patient Profiles and Modifiers are descriptors of patient illness severity prior to durable VAD implant. It is unknown how individual U.S. institutions and practitioners assign Profiles and if Modifiers improve on risk discrimination. Web-based survey respondents (n=212) answered questions about the INTERMACS Profile assignment process within their institution. For five hypothetical clinical scenarios, respondents assigned the best Profile. The INTERMACS registry (2009–2014) was then queried and hazard ratios (HR, 95% confidence interval) for mortality between Profiles and based on the presence of temporary circulatory support (TCS), Frequent Flyer (FF), or Arrhythmia Modifiers were calculated. Respondents included 131 (62%) cardiologists, 30 (14%) surgeons, and 51 (24%) physician extenders/coordinators. Institutional Profile assignment was variable (63% assigned by cardiologists/surgeons; 10% by research coordinators; 27% by physician extenders). Profile assignments within hypothetical patient scenarios were heterogeneous, especially for contiguous Profiles. One year survivals for Profiles 1, 2, and 3 were 77±1.2%, 80±0.7%, and 84±0.7%, respectively (p<0.001). While Profile 1 patients had worse adjusted survival than Profiles 3 (p=0.001), survival for Profiles 1 vs. 2 was similar (adjusted HR 1.01 [0.88–1.12]). The TCS (adjusted HR 1.1 [0.94–1.2]) and Arrhythmia (adjusted HR 1.1 [0.97–1.2]) modifiers were not predictive of mortality but the FF modifier was (HR 1.3 [1.02–1.63]). Substantial heterogeneity exists in the process and assignment of INTERMACS Profiles. This heterogeneity could impact mortality estimates used for risk stratification. Only the FF modifier appears to improve risk discrimination beyond that of known risk factors. Adding objective descriptors may reduce Profile heterogeneity.
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