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Record W1947432558 · doi:10.1159/000439261

Italian AKI Guidelines: The Best of the KDIGO and ADQI Results

2015· editorial· en· W1947432558 on OpenAlexaboutno aff
Claudio Ronco

Bibliographic record

VenueBlood Purification · 2015
Typeeditorial
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsnot available
FundersSocietà Italiana Anestesia, Analgesia, Rianimazione e Terapia Intensiva
KeywordsMedicineIntensive care medicineKidney diseaseInternal medicine

Abstract

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Continuous search for strong evidence supporting the many procedures and interventions in critical care nephrology has led to development of guidelines and recommendations [1]. These documents are intended to support the clinicians in their practice improving outcomes and reducing medical errors and complications. Clinical practice guidelines sometimes are difficult to prepare or to implement due to the scanty evidence in specific areas. There are high costs involved in preparing accurate and solid guidelines, while, on the other side, the full application of guidelines is sometimes difficult if not impossible in the real clinical arena.Acute kidney injury (AKI) makes no exception to these concerns. The evidence supporting diagnostic and therapeutic measures applied in daily practice is in most cases insufficient to clearly establish what is beneficial for the patient and what is futile. Thus, the lack of solid evidence and the limitation of the available resources lead to the sort of clinical practice that is a mixture of anecdotes, expert opinions and sometimes biased visions. In this setting, a person could become skeptic and paralyzed, or he may be pushed to go for the best possible approach. The KDIGO guidelines for AKI have represented a step forward, but they have been continuously challenged by new studies and new publications making it necessary to consider not only the guidelines but also all the related commentaries [1]. In this view, The Italian Society of Nephrology, the Italian Society of Anesthesiology and Intensive Care and the Italian Society of Intensive Care have initiated an effort to translate and update the KDIGO guidelines for regional use in Italy [2], applying the following criteria:(1) The main body of guidelines has been taken from the KDIGO, thus making an accurate translation and keeping the level of evidence and recommendation for every point as it originally was.(2) A thorough search of the literature has been made adding the references and the results of all papers published in each field of AKI since the KDIGO publication until December 2014.(3) The comments to the KDIGO guidelines made by different organizations including the ERA-EDTA, the ASN, Canadian Society of Nephrology, the NHS and others have been included for the benefit of the reader to make him/her aware of the different scientific points of view.(4) A specific effort has been made to comment on the real applicability of the guidelines to the Italian practice, given the availability of medications, devices etc., in that region.(5) A special chapter has been dedicated to nomenclature and terminology in the attempt to unify and harmonize all definitions and abbreviations.(6) Last but not least, a special commentary has been dedicated to the guidelines to guidelines, which is a series of suggestions on how to use the given guidelines, and these are reported in table 1.Furthermore, in addition to the KDIGO guidelines, Italian AKI guidelines have heavily referred to the activity of the Acute Dialysis Quality Initiative (ADQI) conferences and relevant results [3,4,5,6,7,8]. The ADQI was created in the years 2000 by a group of friends in Pittsburgh, San Diego, Melbourne and Vicenza. The approach was extremely modest and minimalist with limited scope to try to achieve some consensus on the areas that require investigation, on the main unanswered questions in the field of AKI and on the possible studies to be performed to answer those questions. Basically, the following considerations were made: AKI is a major clinical problem; it is an even greater clinical problem in ICU and more common than ARDS but nevertheless it is characterized by fewer publications, less funding, no large trials and no accepted definitions. So the most urgent agenda were the following: gather experts, define current knowledge, define gaps in knowledge, define important issues and define focus of future research.Since then, we have come a long way. Some interesting products have been delivered by the ADQI. Among them, we may recall the BEST kidney study, at least 2 dose vs. outcome studies, the definition of criteria to begin renal replacement in the ICU and, last but not the least, the RIFLE classification of AKI. In particular, the paper reporting the original RIFLE description is among the top quoted papers in critical care. At the end of 2005, the P.A.S.S.P.O.R.T. project (prevention, assessment of severity, protection, outcome measures and replacement therapy) had been accomplished with success thus taking a further step toward nature and logic. At a certain point, in fact, although the ADQI had achieved some results and it continued to increase its popularity, a specific need emerged to expand the horizons of the original group and to achieve a broader view of the problem.Based on this aspiration, we organized a retreat in Vicenza where a number of representatives from core societies and existing organizations (ASN, ACCP, ESICM, NKF, ISN and ADQI) met to discuss the possibility of developing a network of people interested in AKI representing societies. A decision was made to hold a conference under the banner of Acute Kidney Injury Network (AKIN) in Amsterdam, in order to engage a wider number of societies/groups and countries in this initiative. The objectives of the summit were the following: clarify the current state of knowledge regarding the epidemiology of AKI (previously known as ‘acute renal failure') around the world, in the context of health care resources and population specifics; describe current clinical and basic research, which would serve to inform both clinical practice and future studies; define a terminology and framework for AKI such that future research in all areas would be enhanced; establish a collaborative network of international groups for further research and clinical care in the area of AKI and, finally, describe key questions to be answered using a combination of consensus conference and research methodology. In this way, AKIN represents the natural counterpart of the ADQI, where the ADQI is mostly designed to define the research agenda and the AKIN represents the collaborative effort to generate a network that makes this research happen.The mission of the AKIN is to provide a mechanism for international, interdisciplinary and intersociety collaboration, to develop and facilitate research initiatives and to inform and standardize clinical practice in the prevention and treatment of AKI. As an immediate consequence of the Amsterdam conference, a consensus conference was held in Vancouver where the first product of the AKIN group was developed.The content of ADQI meetings, including cardiorenal interactions, fluid management, AKI biomarkers and many others, has been published and has originated new evidence in the field of critical care nephrology.The Italian AKI guidelines heavily refer to these important achievements and further enrich the scientific value of the statements, the evidence and the strength of recommendation. We must acknowledge that the KDIGO strongly supported our idea to translate and integrate the KDIGO AKI guidelines, and we are grateful for the stimulating comments and the kind support.I would like to acknowledge the enormous work done by the Italian AKI guideline commission, the scientific societies SIN, SIAARTI and SITI and all the members of the committee who are listed in the official document.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.048
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0110.009
Science and technology studies0.0010.002
Scholarly communication0.0080.004
Open science0.0040.005
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0100.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.333
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2015
Admission routes1
Has abstractyes

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