Giada Azzopardi , Ayah Mekhaimar , Ryan W. Haines , Timothy J. Stephens , Zudin Puthucheary , John R. Prowle
{"title":"临床医生根据危重病人血浆肌酐值评估肾功能:基于情景的国际多专业调查","authors":"Giada Azzopardi , Ayah Mekhaimar , Ryan W. Haines , Timothy J. Stephens , Zudin Puthucheary , John R. Prowle","doi":"10.1016/j.jcrc.2024.154926","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>During critical illness interpretation of serum creatinine is affected by non-steady state conditions, reduced creatinine generation, and altered distribution. We evaluated healthcare professionals' ability to adjudicate underlying kidney function, based on simulated creatinine values.</div></div><div><h3>Methods</h3><div>We developed an online survey, incorporating 12 scenarios with simulated trajectories of creatinine based on profiles of muscle mass, GFR and fluid balance using bespoke kinetic modelling. Participants predicted true underlying GFR (<5, 5–14, 15–29, 30–44, 45–59, 60–90, >90 ml.min<sup>−1</sup>.1.73 m<sup>−2</sup>) and AKI stage (stages 1–3, defined as 33 %, 50 %, 66 % decrease in GFR from baseline) during the first 7-days and at ICU discharge.</div></div><div><h3>Results</h3><div>100 of 103 respondents from 16 countries, 94 completed 1 or more scenarios. 43(43 %) were senior physicians, 74(74 %) critical care and 31(31 %) nephrology physicians. Over the first 7-days, true GFR was correctly estimated 43 % of the time and underlying AKI stage in 57 % of patient days. At ICU discharge GFR was predicted 35 % of the time. At all timepoints, over and under-estimation of GFR was observed.</div></div><div><h3>Conclusion</h3><div>Participants displayed marked variation in estimation of kidney function, suggesting difficulty in accounting for multiple confounders. There is need for alternative, unbiased measures of kidney function in critical illness to avoid misclassifying kidney disease.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"85 ","pages":"Article 154926"},"PeriodicalIF":3.2000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinician assessment of kidney function from plasma creatinine values during critical illness: A scenario-based international multi-professional survey\",\"authors\":\"Giada Azzopardi , Ayah Mekhaimar , Ryan W. Haines , Timothy J. Stephens , Zudin Puthucheary , John R. Prowle\",\"doi\":\"10.1016/j.jcrc.2024.154926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>During critical illness interpretation of serum creatinine is affected by non-steady state conditions, reduced creatinine generation, and altered distribution. We evaluated healthcare professionals' ability to adjudicate underlying kidney function, based on simulated creatinine values.</div></div><div><h3>Methods</h3><div>We developed an online survey, incorporating 12 scenarios with simulated trajectories of creatinine based on profiles of muscle mass, GFR and fluid balance using bespoke kinetic modelling. Participants predicted true underlying GFR (<5, 5–14, 15–29, 30–44, 45–59, 60–90, >90 ml.min<sup>−1</sup>.1.73 m<sup>−2</sup>) and AKI stage (stages 1–3, defined as 33 %, 50 %, 66 % decrease in GFR from baseline) during the first 7-days and at ICU discharge.</div></div><div><h3>Results</h3><div>100 of 103 respondents from 16 countries, 94 completed 1 or more scenarios. 43(43 %) were senior physicians, 74(74 %) critical care and 31(31 %) nephrology physicians. Over the first 7-days, true GFR was correctly estimated 43 % of the time and underlying AKI stage in 57 % of patient days. At ICU discharge GFR was predicted 35 % of the time. At all timepoints, over and under-estimation of GFR was observed.</div></div><div><h3>Conclusion</h3><div>Participants displayed marked variation in estimation of kidney function, suggesting difficulty in accounting for multiple confounders. There is need for alternative, unbiased measures of kidney function in critical illness to avoid misclassifying kidney disease.</div></div>\",\"PeriodicalId\":15451,\"journal\":{\"name\":\"Journal of critical care\",\"volume\":\"85 \",\"pages\":\"Article 154926\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of critical care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0883944124004131\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of critical care","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0883944124004131","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
Clinician assessment of kidney function from plasma creatinine values during critical illness: A scenario-based international multi-professional survey
Purpose
During critical illness interpretation of serum creatinine is affected by non-steady state conditions, reduced creatinine generation, and altered distribution. We evaluated healthcare professionals' ability to adjudicate underlying kidney function, based on simulated creatinine values.
Methods
We developed an online survey, incorporating 12 scenarios with simulated trajectories of creatinine based on profiles of muscle mass, GFR and fluid balance using bespoke kinetic modelling. Participants predicted true underlying GFR (<5, 5–14, 15–29, 30–44, 45–59, 60–90, >90 ml.min−1.1.73 m−2) and AKI stage (stages 1–3, defined as 33 %, 50 %, 66 % decrease in GFR from baseline) during the first 7-days and at ICU discharge.
Results
100 of 103 respondents from 16 countries, 94 completed 1 or more scenarios. 43(43 %) were senior physicians, 74(74 %) critical care and 31(31 %) nephrology physicians. Over the first 7-days, true GFR was correctly estimated 43 % of the time and underlying AKI stage in 57 % of patient days. At ICU discharge GFR was predicted 35 % of the time. At all timepoints, over and under-estimation of GFR was observed.
Conclusion
Participants displayed marked variation in estimation of kidney function, suggesting difficulty in accounting for multiple confounders. There is need for alternative, unbiased measures of kidney function in critical illness to avoid misclassifying kidney disease.
期刊介绍:
The Journal of Critical Care, the official publication of the World Federation of Societies of Intensive and Critical Care Medicine (WFSICCM), is a leading international, peer-reviewed journal providing original research, review articles, tutorials, and invited articles for physicians and allied health professionals involved in treating the critically ill. The Journal aims to improve patient care by furthering understanding of health systems research and its integration into clinical practice.
The Journal will include articles which discuss:
All aspects of health services research in critical care
System based practice in anesthesiology, perioperative and critical care medicine
The interface between anesthesiology, critical care medicine and pain
Integrating intraoperative management in preparation for postoperative critical care management and recovery
Optimizing patient management, i.e., exploring the interface between evidence-based principles or clinical insight into management and care of complex patients
The team approach in the OR and ICU
System-based research
Medical ethics
Technology in medicine
Seminars discussing current, state of the art, and sometimes controversial topics in anesthesiology, critical care medicine, and professional education
Residency Education.