Literature DB >> 15221120

[Premedication visits. Economizing at the cost of the patient?].

C D Kratz1, M Christ, B Maisch, K M Kerwat, C Olt, A Zielke, A Hellinger, H Wulf, G Geldner.   

Abstract

The older the patient, the higher the risk of perioperative cardiac complications. Therefore, patients at risk have to be identified and the appropriate diagnostic or therapeutic measures initiated. The most important factor in this context is whether a planned surgery can be postponed. Several strategies have been developed (e.g. Goldman index, Eagle criteria) and the American Heart Association (AHA/ACC) has produced guidelines concerning perioperative diagnosis and therapy of cardiac risk patients. The common goal of these strategies is always the risk classification of the patient by combining the operative risk and the risk factors of the patient. The further procedure (diagnostic or therapeutic measures) is based on the risk classification. If further invasive therapy proves to be necessary, the determining factor is the period of time for which the operation can be delayed. This appears to be about 3 months but if this is not possible the outcome could be improved with a beta-blocker therapy in advance. A working group from the university hospital in Marburg has developed a strategy for risk classification and further diagnostic and therapeutic measures as outlined in this article.

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Year:  2004        PMID: 15221120     DOI: 10.1007/s00101-004-0709-x

Source DB:  PubMed          Journal:  Anaesthesist        ISSN: 0003-2417            Impact factor:   1.041


  52 in total

1.  A simplified lesion classification for predicting success and complications of coronary angioplasty. Registry Committee of the Society for Cardiac Angiography and Intervention.

Authors:  R J Krone; W K Laskey; C Johnson; S E Kimmel; L W Klein; B H Weiner; J J Cosentino; S A Johnson; J D Babb
Journal:  Am J Cardiol       Date:  2000-05-15       Impact factor: 2.778

2.  The value of routine preoperative medical testing before cataract surgery. Study of Medical Testing for Cataract Surgery.

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Journal:  N Engl J Med       Date:  2000-01-20       Impact factor: 91.245

3.  Contemporary trends in coronary intervention: a report from the Registry of the Society for Cardiac Angiography and Interventions.

Authors:  W K Laskey; S Kimmel; R J Krone
Journal:  Catheter Cardiovasc Interv       Date:  2000-01       Impact factor: 2.692

4.  Predicting cardiac complications in patients undergoing non-cardiac surgery.

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Journal:  J Gen Intern Med       Date:  1986 Jul-Aug       Impact factor: 5.128

Review 5.  Preoperative assessment of patients with known or suspected coronary disease.

Authors:  D T Mangano; L Goldman
Journal:  N Engl J Med       Date:  1995-12-28       Impact factor: 91.245

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Authors:  D L Bronson; A K Halperin; T H Marwick
Journal:  Cleve Clin J Med       Date:  1995 Nov-Dec       Impact factor: 2.321

7.  Prospective evaluation of cardiac risk indices for patients undergoing noncardiac surgery.

Authors:  K Gilbert; B J Larocque; L T Patrick
Journal:  Ann Intern Med       Date:  2000-09-05       Impact factor: 25.391

8.  Concordance of preoperative clinical risk with angiographic severity of coronary artery disease in patients undergoing vascular surgery.

Authors:  S D Paul; K A Eagle; K M Kuntz; J R Young; N R Hertzer
Journal:  Circulation       Date:  1996-10-01       Impact factor: 29.690

9.  Additive value of thallium single-photon emission computed tomography myocardial imaging for prediction of perioperative events in clinically selected high cardiac risk patients having abdominal aortic surgery.

Authors:  G Vanzetto; J Machecourt; D Blendea; D Fagret; E Borrel; J L Magne; F Gattaz; H Guidicelli
Journal:  Am J Cardiol       Date:  1996-01-15       Impact factor: 2.778

10.  Relative effectiveness of four preoperative tests for predicting adverse cardiac outcomes after vascular surgery: a meta-analysis.

Authors:  S Mantha; M F Roizen; J Barnard; R A Thisted; J E Ellis; J Foss
Journal:  Anesth Analg       Date:  1994-09       Impact factor: 5.108

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  4 in total

1.  [Increasing efficiency and patient satisfaction by structured clinical processes in presurgical visits].

Authors:  J Schuld; M R Moussavian; B Frank; U A Schmidt; O Kollmar; M K Schilling; S Richter
Journal:  Unfallchirurg       Date:  2011-12       Impact factor: 1.000

2.  [Relevance of five core aspects of the pre-anesthesia visit: results of a patient survey].

Authors:  H Aust; L H J Eberhart; G Kalmus; M Zoremba; D Rüsch
Journal:  Anaesthesist       Date:  2010-12-15       Impact factor: 1.041

Review 3.  [Anesthesia for medical students : A brief guide to practical anesthesia in adults with a web-based video illustration].

Authors:  S Mathis; O Schlafer; J Abram; J Kreutziger; P Paal; V Wenzel
Journal:  Anaesthesist       Date:  2016-12       Impact factor: 1.041

4.  [Marburg model for optimization of stratification of the anaesthesiological risk].

Authors:  K M Kerwat; C D Kratz; C Olt; M Christ; M Ziring; H Wulf; G Geldner
Journal:  Anaesthesist       Date:  2004-09       Impact factor: 1.041

  4 in total

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