Literature DB >> 10827384

Prediction of death after percutaneous coronary interventional procedures.

C S Rihal1, D E Grill, M R Bell, P B Berger, K N Garratt, D R Holmes.   

Abstract

BACKGROUND: The prediction and comparison of procedural death after percutaneous coronary interventional procedures is inherently difficult because of variations in case mix and practice patterns. The impact of modern, expanded patient selection criteria, and newer technologic approaches is unknown. Our objective was to determine whether a risk equation based on patient-related variables and derived from an independent data set can accurately predict procedural death after percutaneous coronary intervention in the current era. METHODS AND
RESULTS: An analysis was made of the Mayo Clinic Coronary Interventional Database January 1, 1995, to October 31, 1997. Expected mortality rate was calculated with the use of the New York State multivariate risk score. In 3387 patients, 3830 procedures (55.1% stents) were performed, with an expected mortality rate of 2.32% and observed mortality rate of 2.38% (P = not significant). The risk score derived from the New York multivariate model was highly predictive of death (chi-square = 213.8; P <.0001). The presence of a high-risk lesion characteristic such as calcium, thrombus, or type C lesion was modestly associated with death.
CONCLUSIONS: The New York State multivariate model accurately predicted procedural death in our database.

Entities:  

Mesh:

Year:  2000        PMID: 10827384     DOI: 10.1067/mhj.2000.105299

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  5 in total

1.  Contemporary mortality risk prediction for percutaneous coronary intervention: results from 588,398 procedures in the National Cardiovascular Data Registry.

Authors:  Eric D Peterson; David Dai; Elizabeth R DeLong; J Matthew Brennan; Mandeep Singh; Sunil V Rao; Richard E Shaw; Matthew T Roe; Kalon K L Ho; Lloyd W Klein; Ronald J Krone; William S Weintraub; Ralph G Brindis; John S Rumsfeld; John A Spertus
Journal:  J Am Coll Cardiol       Date:  2010-05-04       Impact factor: 24.094

2.  Comorbid conditions and outcomes after percutaneous coronary intervention.

Authors:  M Singh; C S Rihal; V L Roger; R J Lennon; J Spertus; A Jahangir; D R Holmes
Journal:  Heart       Date:  2007-10-08       Impact factor: 5.994

3.  Development and validation of a simple risk score to predict 30-day readmission after percutaneous coronary intervention in a cohort of medicare patients.

Authors:  Karl E Minges; Jeph Herrin; Paul N Fiorilli; Jeptha P Curtis
Journal:  Catheter Cardiovasc Interv       Date:  2016-08-12       Impact factor: 2.692

4.  Angiographic Lesion Complexity Score and In-Hospital Outcomes after Percutaneous Coronary Intervention.

Authors:  Ayaka Endo; Akio Kawamura; Hiroaki Miyata; Shigetaka Noma; Masahiro Suzuki; Takashi Koyama; Shiro Ishikawa; Susumu Nakagawa; Shunsuke Takagi; Yohei Numasawa; Keiichi Fukuda; Shun Kohsaka
Journal:  PLoS One       Date:  2015-06-29       Impact factor: 3.240

Review 5.  Current and Future Applications of Artificial Intelligence in Coronary Artery Disease.

Authors:  Nitesh Gautam; Prachi Saluja; Abdallah Malkawi; Mark G Rabbat; Mouaz H Al-Mallah; Gianluca Pontone; Yiye Zhang; Benjamin C Lee; Subhi J Al'Aref
Journal:  Healthcare (Basel)       Date:  2022-01-26
  5 in total

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