The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery

Vernooij, Lisette M.; Klei, Wilton A. van; Moons, Karel G.M.; Takada, Toshihiko; Waes, Judith van; Damen, Johanna Aag

doi:10.1002/14651858.cd013139.pub2

Cited by 38 publications

(33 citation statements)

References 455 publications

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“…Another study found that copeptin ≥ 9.6 pmol/L was associated with significantly higher rates of myocardial injury and improved risk stratification. However, current data are insufficient to provide results on the added predictive performance of copeptin for any of the outcomes, so further research is still required to improve the prognostic strategies in this group of patients ( 172 ).…”

Section: Copeptin In Amimentioning

confidence: 99%

Copeptin as a Diagnostic and Prognostic Biomarker in Cardiovascular Diseases

Cheng

Qiu

et al. 2022

Front. Cardiovasc. Med.

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Copeptin is the carboxyl-terminus of the arginine vasopressin (AVP) precursor peptide. The main physiological functions of AVP are fluid and osmotic balance, cardiovascular homeostasis, and regulation of endocrine stress response. Copeptin, which is released in an equimolar mode with AVP from the neurohypophysis, has emerged as a stable and simple-to-measure surrogate marker of AVP and has displayed enormous potential in clinical practice. Cardiovascular disease (CVD) is currently recognized as a primary threat to the health of the population worldwide, and thus, rapid and effective approaches to identify individuals that are at high risk of, or have already developed CVD are required. Copeptin is a diagnostic and prognostic biomarker in CVD, including the rapid rule-out of acute myocardial infarction (AMI), mortality prediction in heart failure (HF), and stroke. This review summarizes and discusses the value of copeptin in the diagnosis, discrimination, and prognosis of CVD (AMI, HF, and stroke), as well as the caveats and prospects for the application of this potential biomarker.

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Section: Copeptin In Amimentioning

confidence: 99%

Copeptin as a Diagnostic and Prognostic Biomarker in Cardiovascular Diseases

Cheng

Qiu

et al. 2022

Front. Cardiovasc. Med.

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“…Models to be used in asymptomatic adult females to predict their future personal risk of developing breast cancer Source: McGarrigle et al (2018). Vernooij et al (2021), on the other hand, presented the definition of their research question for the topic "the added value of different biomarkers to the Revised Cardiac Risk Index to predict the main adverse cardiac events and all-cause mortality after non-cardiac surgery" in the PICOTS format, as shown in Table 2.…”

Section: Settingmentioning

confidence: 99%

“…To inform physicians preoperatively of the patient's risk of developing events after noncardiac surgery Source: Vernooij et al (2021).…”

Section: Setting (Intended Role and Use Of The Model)mentioning

confidence: 99%

“…Research, Society andDevelopment, v. 11, n. 3, e41011326726, 2022 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v11i3.26726 Figure 3 presents an advanced search strategy used by Vernooij et al (2021), where all Boolean operators (OR, AND, AND NOT) were used to locate the desired information. In search 1, the authors used the OR operator to search for records related to the cardiac risk index.…”

Section: Transforming the Pico Research Question Into A Database Sear...mentioning

confidence: 99%

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Searching for health information for academic and clinical purposes: possibilities and challenges

Mello

Galvão

2022

RSD

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Studies in different countries indicate that students and health professionals have difficulties in seeking scientific information for academic and clinical use. This article aims to present the main intellectual stages of information search for clinical and academic purposes, as well as the possibilities and challenges that arise in each of the stages. We used a descriptive qualitative design based on a selective literature review, presentation of practical examples and some solutions to doubts related to health information seeking. The following stages of information search were presented: defining what the researcher wants to know; transforming the PICO research question into a database search strategy; defining where to search for the information; sources used in the health field for clinical and/or academic purposes. The process of information search demands specific intellectual decisions for each clinical or research situation. Therefore, just following information search manuals may not be enough to achieve a satisfactory result. It is necessary to bring to the level of consciousness the objectives of the search, the choice of sources, and the selection of the best information to answer the initial research question.

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“…Several studies have attempted to improve the prediction of MACE by either adding biomarkers to the RCRI or by comparing the predictive performance of the RCRI to single biomarkers or to other prediction models. We here summarise the findings of a recent comprehensive Cochrane Review4 that had various aims: (1) to outline which biomarkers have added predictive value to the RCRI to predict MACE or any other postoperative outcome after non-cardiac surgery, (2) to outline whether the predictive performance of biomarkers by itself differs from the predictive performance of the RCRI and (3) to outline whether the predictive performance of the RCRI differs from other prediction models for the prediction of MACE and other postoperative outcomes in noncardiac surgery patients.…”

Section: Introductionmentioning

confidence: 99%