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Wiersema R, Koeze J, Hiemstra B, Pettilä V, Perner A, Keus F, van der Horst ICC. Associations between tricuspid annular plane systolic excursion to reflect right ventricular function and acute kidney injury in critically ill patients: a SICS-I sub-study. Ann Intensive Care 2019; 9:38. [PMID: 30868290 PMCID: PMC6419793 DOI: 10.1186/s13613-019-0513-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 03/05/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Acute kidney injury (AKI) occurs in up to 50% of all critically ill patients and hemodynamic abnormalities are assumed to contribute, but their nature and share is still unclear. We explored the associations between hemodynamic variables, including cardiac index and right ventricular function, and the occurrence of AKI in critically ill patients. METHODS In this prospective cohort study, we included all patients acutely admitted to an intensive care unit (ICU). Within 24 h after ICU admission clinical and hemodynamic variables were registered including ultrasonographic measurements of cardiac index and right ventricular function, assessed using tricuspid annular plane systolic excursion (TAPSE) and right ventricular systolic excursion (RV S'). Maximum AKI stage was assessed according to the KDIGO criteria during the first 72 h after admission. Multivariable logistic regression modeling was used including both known predictors and univariable significant predictors of AKI. Secondary outcomes were days alive outside ICU and 90-day mortality. RESULTS A total of 622 patients were included, of which 338 patients (54%) had at least AKI stage 1 within 72 h after ICU admission. In the final multivariate model higher age (OR 1.01, 95% CI 1.00-1.03, for each year), higher weight (OR 1.03 CI 1.02-1.04, for each kg), higher APACHE IV score (OR 1.02, CI 1.01-1.03, per point), lower mean arterial pressure (OR 1.02, CI 1.01-1.03, for each mmHg decrease) and lower TAPSE (OR 1.05, CI 1.02-1.09 per millimeter decrease) were all independent predictors for AKI in the final multivariate logistic regression model. Sepsis, cardiac index, RV S' and use of vasopressors were not significantly associated with AKI in our data. AKI patients had fewer days alive outside of ICU, and their mortality rate was significantly higher than those without AKI. CONCLUSIONS In our cohort of acutely admitted ICU patients, the incidence of AKI was 54%. Hemodynamic variables were significantly different between patients with and without AKI. A worse right ventricle function was associated with AKI in the final model, whereas cardiac index was not.
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Affiliation(s)
- Renske Wiersema
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jacqueline Koeze
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bart Hiemstra
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Anders Perner
- Department of Intensive Care 4131, Centre for Research in Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Frederik Keus
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Iwan C. C. van der Horst
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - SICS Study Group
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Intensive Care 4131, Centre for Research in Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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152
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Vilander LM, Vaara ST, Kaunisto MA, Pettilä V, Study Group TF. Common Inflammation-Related Candidate Gene Variants and Acute Kidney Injury in 2647 Critically Ill Finnish Patients. J Clin Med 2019; 8:jcm8030342. [PMID: 30862128 PMCID: PMC6463106 DOI: 10.3390/jcm8030342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 02/26/2019] [Accepted: 03/04/2019] [Indexed: 12/19/2022] Open
Abstract
Acute kidney injury (AKI) is a syndrome with high incidence among the critically ill. Because the clinical variables and currently used biomarkers have failed to predict the individual susceptibility to AKI, candidate gene variants for the trait have been studied. Studies about genetic predisposition to AKI have been mainly underpowered and of moderate quality. We report the association study of 27 genetic variants in a cohort of Finnish critically ill patients, focusing on the replication of associations detected with variants in genes related to inflammation, cell survival, or circulation. In this prospective, observational Finnish Acute Kidney Injury (FINNAKI) study, 2647 patients without chronic kidney disease were genotyped. We defined AKI according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We compared severe AKI (Stages 2 and 3, n = 625) to controls (Stage 0, n = 1582). For genotyping we used iPLEXTM Assay (Agena Bioscience). We performed the association analyses with PLINK software, using an additive genetic model in logistic regression. Despite the numerous, although contradictory, studies about association between polymorphisms rs1800629 in TNFA and rs1800896 in IL10 and AKI, we found no association (odds ratios 1.06 (95% CI 0.89–1.28, p = 0.51) and 0.92 (95% CI 0.80–1.05, p = 0.20), respectively). Adjusting for confounders did not change the results. To conclude, we could not confirm the associations reported in previous studies in a cohort of critically ill patients.
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Affiliation(s)
- Laura M Vilander
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
| | - Suvi T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki,000014 Helsinki, Finland.
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine,University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
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153
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Kotani Y, Fujii T, Uchino S, Doi K. Modification of sequential organ failure assessment score using acute kidney injury classification. J Crit Care 2019; 51:198-203. [PMID: 30878015 DOI: 10.1016/j.jcrc.2019.02.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 02/06/2019] [Accepted: 02/25/2019] [Indexed: 01/31/2023]
Abstract
PURPOSE To assess the predictive validity of a modified Sequential Organ Failure Assessment (SOFA) score, of which the renal component was replaced with Kidney Disease Improving Global Outcomes (KDIGO) classification of Acute Kidney Injury (AKI). MATERIALS AND METHODS Using a prospective cohort study on AKI in Japan, we replaced the renal component of SOFA score with AKI stages according to the KDIGO criteria except that initiation of renal replacement therapy was assigned four points. We assessed the predictive validity of KDIGO-based SOFA score for hospital and ICU mortality by comparing the areas under the receiver operating characteristic curve (AUC) derived from logistic regression models with that of the original SOFA score. RESULTS 2292 patients were registered. Overall hospital mortality was 11.6%, and ICU mortality was 5.1%. KDIGO-based SOFA score was moderately correlated with APACHE II score (rho = 0.476). The AUC for hospital and ICU mortality of KDIGO-based and the original SOFA score were 0.749 vs 0.745 (p = .393) and 0.790 vs 0.791 (p = .900). CONCLUSIONS The prognostic performance of KDIGO-based SOFA score was not superior but comparable to that of the original SOFA score.
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Affiliation(s)
- Yuki Kotani
- Department of Critical Care Medicine, Japanese Red Cross Society Wakayama Medical Center, 4-20, Komatsubara-dori, Wakayama, Japan; Department of Intensive Care Medicine, Kameda Medical Center, 929 Higashi-cho, Kamogawa, Japan.
| | - Tomoko Fujii
- Department of Epidemiology and Preventive Medicine, Kyoto University Graduate School of Medicine, Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan; Japan Society for the Promotion of Science. 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.
| | - Shigehiko Uchino
- Intensive Care Unit, Department of Anaesthesiology, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
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154
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Dimitrijevic ZM, Salinger-Martinovic SS, Jankovic RJ, Mitic BP. Elevated Serum Ferritin Levels Are Predictive of Renal Function Recovery among Patients with Acute Kidney Injury. TOHOKU J EXP MED 2019; 248:63-71. [DOI: 10.1620/tjem.248.63] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
| | | | - Radmilo J. Jankovic
- Faculty of Medicine, University of Nis, Center for Anesthesiology and Reanimatology, Clinical Center Nis
| | - Branka P. Mitic
- Faculty of Medicine, University of Nis, Clinic for Nephrology, Clinical Center Nis
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155
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Truche AS, Ragey SP, Souweine B, Bailly S, Zafrani L, Bouadma L, Clec'h C, Garrouste-Orgeas M, Lacave G, Schwebel C, Guebre-Egziabher F, Adrie C, Dumenil AS, Zaoui P, Argaud L, Jamali S, Goldran Toledano D, Marcotte G, Timsit JF, Darmon M. ICU survival and need of renal replacement therapy with respect to AKI duration in critically ill patients. Ann Intensive Care 2018; 8:127. [PMID: 30560526 PMCID: PMC6297118 DOI: 10.1186/s13613-018-0467-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 11/30/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Transient and persistent acute kidney injury (AKI) could share similar physiopathological mechanisms. The objective of our study was to assess prognostic impact of AKI duration on ICU mortality. DESIGN Retrospective analysis of a prospective database via cause-specific model, with 28-day ICU mortality as primary end point, considering discharge alive as a competing event and taking into account time-dependent nature of renal recovery. Renal recovery was defined as a decrease of at least one KDIGO class compared to the previous day. SETTING 23 French ICUs. PATIENTS Patients of a French multicentric observational cohort were included if they suffered from AKI at ICU admission between 1996 and 2015. INTERVENTION None. RESULTS A total of 5242 patients were included. Initial severity according to KDIGO creatinine definition was AKI stage 1 for 2458 patients (46.89%), AKI stage 2 for 1181 (22.53%) and AKI stage 3 for 1603 (30.58%). Crude 28-day ICU mortality according to AKI severity was 22.74% (n = 559), 27.69% (n = 327) and 26.26% (n = 421), respectively. Renal recovery was experienced by 3085 patients (58.85%), and its rate was significantly different between AKI severity stages (P < 0.01). Twenty-eight-day ICU mortality was independently lower in patients experiencing renal recovery [CSHR 0.54 (95% CI 0.46-0.63), P < 0.01]. Lastly, RRT requirement was strongly associated with persistent AKI whichever threshold was chosen between day 2 and 7 to delineate transient from persistent AKI. CONCLUSIONS Short-term renal recovery, according to several definitions, was independently associated with higher mortality and RRT requirement. Moreover, distinction between transient and persistent AKI is consequently a clinically relevant surrogate outcome variable for diagnostic testing in critically ill patients.
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Affiliation(s)
- A S Truche
- UMR 1137 - IAME Team 5 - DeSCID : Decision SCiences in Infectious Diseases, Control and Care, Inserm/Paris Diderot University, Sorbonne Paris Cité, Paris, France
- Medical Intensive Care Unit, Grenoble University Hospital, Grenoble 1 University, U823, La Tronche, France
- Nephrology Dialysis Renal Transplantation, Grenoble University Hospital, La Tronche, France
| | - S Perinel Ragey
- Medical Intensive Care Unit, Croix Rousse Hospital, Lyon University Hospital, Lyon, France
| | - B Souweine
- Medical Intensive Care Unit, Gabriel Montpied University Hospital, Clermont-Ferrand, France
| | - S Bailly
- UMR 1137 - IAME Team 5 - DeSCID : Decision SCiences in Infectious Diseases, Control and Care, Inserm/Paris Diderot University, Sorbonne Paris Cité, Paris, France
- Medical Intensive Care Unit, Grenoble University Hospital, Grenoble 1 University, U823, La Tronche, France
| | - L Zafrani
- Medical Intensive Care Unit, AP-HP, Saint Louis Hospital, Paris, France
- Medicine University, Paris 7 University, Paris, France
| | - L Bouadma
- Medical and Infectious Diseases Intensive Care Unit, AP-HP, Bichat Hospital, Paris Diderot University, 75018, Paris, France
| | - C Clec'h
- Intensive Care Unit, AP-HP, Avicenne Hospital, Paris, France
- Medicine University, Paris 13 University, Bobigny, France
| | - M Garrouste-Orgeas
- Intensive Care Unit, Saint Joseph Hospital Network, Paris, France
- Medicine University, Paris Descartes University, Sorbonne Cite, Paris, France
| | - G Lacave
- Medical Intensive Care Unit, André Mignot Hospital, Versailles, France
| | - C Schwebel
- Medical Intensive Care Unit, Grenoble University Hospital, Grenoble 1 University, U823, La Tronche, France
| | - F Guebre-Egziabher
- Nephrology Dialysis Renal Transplantation, Grenoble University Hospital, La Tronche, France
| | - C Adrie
- Physiology Department, Cochin University Hospital, Assistance Publique, Hôpitaux de Paris (AP-HP), Paris Descartes University des, Sorbonne Cite, Paris, France
| | - A S Dumenil
- Medical-Surgical Intensive Care Unit, AP-HP, Antoine Béclère University Hospital, Clamart, France
| | - Ph Zaoui
- Nephrology Dialysis Renal Transplantation, Grenoble University Hospital, La Tronche, France
| | - L Argaud
- Medical Intensive Care Unit, Edouard Herriot University Hospital, Lyon, France
| | - S Jamali
- Critical Care Medicine Unit, Dourdan Hospital, Dourdan, France
| | | | - G Marcotte
- Surgical ICU, Edouard Herriot University Hospital, Lyon, France
| | - J F Timsit
- UMR 1137 - IAME Team 5 - DeSCID : Decision SCiences in Infectious Diseases, Control and Care, Inserm/Paris Diderot University, Sorbonne Paris Cité, Paris, France
- Medical and Infectious Diseases Intensive Care Unit, AP-HP, Bichat Hospital, Paris Diderot University, 75018, Paris, France
| | - M Darmon
- Medical Intensive Care Unit, AP-HP, Saint Louis Hospital, Paris, France.
- Medicine University, Paris 7 University, Paris, France.
- ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology and Biostatistics Sorbonne Paris Cité, CRESS), INSERM, Paris, France.
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Oh HJ, An JN, Oh S, Rhee H, Lee JP, Kim DK, Ryu DR, Kim S. VolumE maNagement Under body composition monitoring in critically ill patientS on CRRT: study protocol for a randomized controlled trial (VENUS trial). Trials 2018; 19:681. [PMID: 30541593 PMCID: PMC6292088 DOI: 10.1186/s13063-018-3056-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 11/15/2018] [Indexed: 01/10/2023] Open
Abstract
Background Despite recent technical advances in the management of acute kidney injury (AKI), such as continuous renal replacement therapy (CRRT), intensive care unit mortality is still high, at approximately 40 to 50%. Although several factors have been reported to predict mortality in AKI patients, fluid overload (FO) during CRRT is a well-known predictor of patient survival. However, FO has been mostly quantified as an arithmetical calculation and determined on the basis of the physicians’ perception. Even though such quantification and assessment provides an easy evaluation of a patient’s fluid status and is a simple method, it is not applicable unless a detailed record of fluid monitoring is available. Furthermore, the method cannot differentiate excess water in individual water compartments but can only reflect excess total body water. Bioimpedance analysis (BIA) has been used to measure the nutritional component of body composition and is a promising tool for the measurement of volume status. However, there has been no prospective interventional study for fluid balance among CRRT-treated AKI patients using BIA. Therefore, we will investigate the usefulness of fluid management using the InBody S10 (InBody®, Seoul, Korea), a BIA tool, compared with that of generally used quantification methods. Methods/design This will be a multicenter, prospective, randomized controlled trial. A total of 244 patients undergoing CRRT treatment will be enrolled and randomly assigned to receive either to InBody S10-guided management or to fluid management based only on clinical information for 7 days. The primary outcome is to compare the rate of euvolemic status 7 days after the initiation of CRRT, with a secondary outcome being to compare the 28-, 60-, and 90-day mortality rates between the two groups. Discussion This will be the first clinical trial to investigate the effect of using BIA-guided fluid management to achieve euvolemia in CRRT-treated AKI patients. Trial registration ClinicalTrials.gov, ID: NCT03330626. Registered on 6 November 2017. Electronic supplementary material The online version of this article (10.1186/s13063-018-3056-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hyung Jung Oh
- Ewha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea.,Research Institute for Human Health Information, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea
| | - Jung Nam An
- Department of Critical Care Medicine, Seoul National University Boramae, Medical Center, Seoul, Republic of Korea.,Department of Internal Medicine, Seoul National University Boramae, Medical Center, Seoul, Republic of Korea
| | - Sohee Oh
- Department of Biostatistics, Seoul National University Boramae, Medical Center, Seoul, Republic of Korea
| | - Harin Rhee
- Department of Internal Medicine, Pusan National University School of Medicine, Busan, Republic of Korea.,Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Boramae, Medical Center, Seoul, Republic of Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong-Ryeol Ryu
- Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.,Tissue Injury Defense Research Center, Ewha Womans University, Seoul, Republic of Korea
| | - Sejoong Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea.
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157
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Doi K, Nishida O, Shigematsu T, Sadahiro T, Itami N, Iseki K, Yuzawa Y, Okada H, Koya D, Kiyomoto H, Shibagaki Y, Matsuda K, Kato A, Hayashi T, Ogawa T, Tsukamoto T, Noiri E, Negi S, Kamei K, Kitayama H, Kashihara N, Moriyama T, Terada Y. The Japanese Clinical Practice Guideline for acute kidney injury 2016. RENAL REPLACEMENT THERAPY 2018. [DOI: 10.1186/s41100-018-0177-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
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158
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Fujii T, Sato T, Uchino S, Doi K, Iwami T, Kawamura T. Human atrial natriuretic peptide for acute kidney injury in adult critically ill patients: A multicenter prospective observational study. J Crit Care 2018; 51:229-235. [PMID: 30528663 DOI: 10.1016/j.jcrc.2018.11.032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/11/2018] [Accepted: 11/29/2018] [Indexed: 01/01/2023]
Abstract
PURPOSE Acute kidney injury (AKI) is common in the intensive care unit (ICU). Selected clinical studies have implied human atrial natriuretic peptide (hANP) improves renal function; however, the treatment effects for AKI are unclear. METHODS A multicenter prospective observational study in 13 Japanese ICUs. The effects of hANP were estimated by the standardized mortality ratio weighted analyses of generalized linear models using propensity scores. The primary outcome was renal replacement therapy (RRT) or death in the ICU. RESULTS Of 904 patients with AKI, 63 received hANP as a treatment for AKI. The primary outcome occurred in 20.5% (185/904). HANP did not reduce the risk of RRT or death in the ICU (risk ratio 1.12, 95% confidence interval [CI] 0.74 to 1.69) and was associated with a lower mean arterial pressure (β -3.8 mmHg, 95%CI -7.6 to -0.1), a longer hospital length of stay (β 12.0 days, 95%CI 1.2 to 22.8) and a lower eGFR at hospital discharge (β -10.4 mL/min/m2, 95%CI -19.1 to -1.7). No beneficial effect was observed in subgroups of cardiovascular surgery, sepsis, nor chronic kidney disease. CONCLUSIONS In critically ill patients with AKI, the treatment effect of hANP was not evident on dialysis-free survival in the ICU.
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Affiliation(s)
- Tomoko Fujii
- Department of Epidemiology and Preventive Medicine, Kyoto University Graduate School of Medicine. Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan; Japan Society for the Promotion of Science. 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.
| | - Tosiya Sato
- Department of Biostatistics, Kyoto University School of Public Health. Yoshida Konoe-cho, Sakyo-ku, Kyoto, Japan
| | - Shigehiko Uchino
- Intensive Care Unit, Department of Anaesthesiology, Jikei University School of Medicine. 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Taku Iwami
- Kyoto University Health Service, Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan
| | - Takashi Kawamura
- Kyoto University Health Service, Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan
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159
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Eskola M, Vaara ST, Korhonen A, Sauranen J, Koivuviita N, Honkanen E, Pettilä V, Haapio M, Laru‐Sompa R, Pulkkinen A, Saarelainen M, Reilama M, Rantalainen U, Vääräniemi K, Taskinen M, Boman H, Pirttinen N, Sanisalo T, Kahrapää P, Lohi H, Lantto M, Anderson S, Jääskeläinen K, Tamminen M, Vainiotalo M, Sinkko J, Metso M, Tertti R, Salmela A. One- and three-year outcomes in patients treated with intermittent hemodialysis for acute kidney injury: prospective observational multicenter post-hoc FINNAKI study. Acta Anaesthesiol Scand 2018; 62:1452-1459. [PMID: 29978569 DOI: 10.1111/aas.13203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 05/09/2018] [Accepted: 06/06/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND Studies reporting renal and overall survival after acute kidney injury (AKI) treated exclusively with intermittent modalities of renal replacement therapy (IRRT) are rare. This study focused on outcomes of AKI patients treated with IRRT both in intensive care units (ICUs) and non-ICU dialysis units. METHODS This prospective observational study was carried on during a 5-month period in 17 ICUs and 17 non-ICUs. ICU and non-ICU patients (total n = 138; 65 ICU, 73 non-ICU) requiring RRT for AKI and chosen to receive IRRT were included. Patient and RRT characteristics as well as outcomes at 90 days, 1 year, and 3 years were registered. RESULTS Characteristics of ICU and non-ICU patients differed markedly. Pre-existing chronic kidney disease (CKD) and chronic heart failure were significantly more common among non-ICU patients. At 1 year, RRT dependence was significantly more common in the non-ICU group. At 3 years, there was no significant difference between the groups either in RRT dependence or mortality. CONCLUSION Outcome of AKI patients treated with IRRT is dismal with regard to 3-year kidney function and mortality. Although pre-existing CKD emerged as a major risk factor for end-stage renal disease after AKI, the poor kidney survival was also seen in patients without prior CKD.
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Affiliation(s)
- Maija Eskola
- Nephrology Helsinki University Hospital University of Helsinki Helsinki Finland
| | - Suvi T. Vaara
- Division of Intensive Care Medicine Department of Anesthesiology, Intensive Care and Pain Medicine Helsinki University Hospital University of Helsinki Helsinki Finland
| | - Anna‐Maija Korhonen
- Division of Intensive Care Medicine Department of Anesthesiology, Intensive Care and Pain Medicine Helsinki University Hospital University of Helsinki Helsinki Finland
| | - Jukka Sauranen
- Department of Medicine Tampere University Hospital Tampere Finland
| | - Niina Koivuviita
- Division of Medicine Department of Nephrology Turku University Hospital Turku Finland
| | - Eero Honkanen
- Nephrology Helsinki University Hospital University of Helsinki Helsinki Finland
| | - Ville Pettilä
- Division of Intensive Care Medicine Department of Anesthesiology, Intensive Care and Pain Medicine Helsinki University Hospital University of Helsinki Helsinki Finland
| | - Mikko Haapio
- Nephrology Helsinki University Hospital University of Helsinki Helsinki Finland
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160
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Zarbock A, Koyner JL, Hoste EAJ, Kellum JA. Update on Perioperative Acute Kidney Injury. Anesth Analg 2018; 127:1236-1245. [DOI: 10.1213/ane.0000000000003741] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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161
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Lesur O, Delile E, Asfar P, Radermacher P. Hemodynamic support in the early phase of septic shock: a review of challenges and unanswered questions. Ann Intensive Care 2018; 8:102. [PMID: 30374729 PMCID: PMC6206320 DOI: 10.1186/s13613-018-0449-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 10/20/2018] [Indexed: 12/13/2022] Open
Abstract
Background Improving sepsis support is one of the three pillars of a 2017 resolution according to the World Health Organization (WHO). Septic shock is indeed a burden issue in the intensive care units. Hemodynamic stabilization is a cornerstone element in the bundle of supportive treatments recommended in the Surviving Sepsis Campaign (SSC) consecutive biannual reports. Main body The “Pandera’s box” of septic shock hemodynamics is an eternal debate, however, with permanent contentious issues. Fluid resuscitation is a prerequisite intervention for sepsis rescue, but selection, modalities, dosage as well as duration are subject to discussion while too much fluid is associated with worsen outcome, vasopressors often need to be early introduced in addition, and catecholamines have long been recommended first in the management of septic shock. However, not all patients respond positively and controversy surrounding the efficacy-to-safety profile of catecholamines has come out. Preservation of the macrocirculation through a “best” mean arterial pressure target is the actual priority but is still contentious. Microcirculation recruitment is a novel goal to be achieved but is claiming more knowledge and monitoring standardization. Protection of the cardio-renal axis, which is prevalently injured during septic shock, is also an unavoidable objective. Several promising alternative or additive drug supporting avenues are emerging, trending toward catecholamine’s sparing or even “decatecholaminization.” Topics to be specifically addressed in this review are: (1) mean arterial pressure targeting, (2) fluid resuscitation, and (3) hemodynamic drug support. Conclusion Improving assessment and means for rescuing hemodynamics in early septic shock is still a work in progress. Indeed, the bigger the unresolved questions, the lower the quality of evidence.
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Affiliation(s)
- Olivier Lesur
- Division of Intensive Care Units, Department of Medicine, Faculté de Médecine et des Sciences de la Santé, Centre de Recherche du CHUS, Université de Sherbrooke, Sherbrooke, QC, Canada.
| | - Eugénie Delile
- Division of Intensive Care Units, Department of Medicine, Faculté de Médecine et des Sciences de la Santé, Centre de Recherche du CHUS, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Pierre Asfar
- Département de Médecine Intensive-Réanimation, Centre Hospitalier Universitaire, Université d'Angers, Angers, France
| | - Peter Radermacher
- Institut für Anästhesiologische Pathophysiologie und Verfahrensentwicklung, Universitätsklinikum, Ulm, Germany
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Lin YF, Huang TM, Lin SL, Wu VC, Wu KD. Short- and long-term outcomes after postsurgical acute kidney injury requiring dialysis. Clin Epidemiol 2018; 10:1583-1598. [PMID: 30464638 PMCID: PMC6208534 DOI: 10.2147/clep.s169302] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Objective Prompt assessment of perioperative complications is critical for the comprehensive care of surgical patients. Acute kidney injury requiring dialysis (AKI-D) is associated with high mortality, yet little is known about how long-term outcomes of patients have evolved. The association of AKI-D with postsurgical outcomes has not been well studied. Methods We investigated patients from the National Health Insurance Research Database and validated by the multicenter Clinical Trial Consortium for Renal Diseases cohort. All patients with AKI-D 18 years or older undergoing four major surgeries (cardiothoracic, esophagus, intestine, and liver) were retrospectively investigated (N=106,573). Patient demographics, surgery type, comorbidities before admission, and postsurgical outcomes, including the in-hospital, 30-day, and long-term mortality together with dialysis dependence were collected. Results AKI-D is the top risk factor for 30-day and long-term mortality after major surgery. Of 1,664 individuals with AKI-D and 6,656 matched controls, AKI-D during the hospital stay was associated with in-hospital (adjusted hazard ratio [aHR]=3.04, 95% CI 2.79–3.31), 30-day (aHR=3.65, 95% CI 3.37–3.94), and long-term (aHR=3.22, 95% CI 3.01–3.44) mortality. Patients undergoing cardiothoracic surgery (CTS) showed less in-hospital (aHR=0.85, 95% CI 0.75–0.97), 30-day (aHR=0.79, 95% CI 0.70–0.89), and long-term (aHR=0.80, 95% CI 0.72–0.90) mortality compared with non-CTS patients with AKI-D. CTS patients had a high risk of 30-day dialysis dependence (subhazard ratio [sHR]=1.67, 95% CI 1.18–2.38), but the risk of long-term dialysis dependence was similar (sHR=1.38, 95% CI 0.96–2.00) after AKI-D by taking mortality as a competing risk. Non-CTS patients had more comorbidities of sepsis, azotemia, hypoalbuminemia, and metabolic acidosis compared with CTS patients. Conclusion AKI exhibits paramount effects on postsurgical outcomes that extend well beyond discharge from the hospital. The goal of the perioperative assessment should include the reassurance of enhancing renal function recovery among different surgeries, and optimized follow-up is warranted in attenuating the complications after postsurgical AKI has occurred.
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Affiliation(s)
- Yu-Feng Lin
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.,Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan,
| | - Tao-Min Huang
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, .,Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University College of Public Health, Taipei, Taiwan
| | - Shuei-Liong Lin
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, .,Graduate Institute of Physiology, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Vin-Cent Wu
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan,
| | - Kwan-Dun Wu
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan,
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Doi K, Nishida O, Shigematsu T, Sadahiro T, Itami N, Iseki K, Yuzawa Y, Okada H, Koya D, Kiyomoto H, Shibagaki Y, Matsuda K, Kato A, Hayashi T, Ogawa T, Tsukamoto T, Noiri E, Negi S, Kamei K, Kitayama H, Kashihara N, Moriyama T, Terada Y. The Japanese clinical practice guideline for acute kidney injury 2016. Clin Exp Nephrol 2018; 22:985-1045. [PMID: 30039479 PMCID: PMC6154171 DOI: 10.1007/s10157-018-1600-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Acute kidney injury (AKI) is a syndrome which has a broad range of etiologic factors depending on different clinical settings. Because AKI has significant impacts on prognosis in any clinical settings, early detection and intervention is necessary to improve the outcomes of AKI patients. This clinical guideline for AKI was developed by a multidisciplinary approach with nephrology, intensive care medicine, blood purification, and pediatrics. Of note, clinical practice for AKI management which was widely performed in Japan was also evaluated with comprehensive literature search.
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Affiliation(s)
- Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | | | - Tomohito Sadahiro
- Department of Emergency and Critical Care Medicine, Tokyo Women's Medical University Yachiyo Medical Center, Chiba, Japan
| | - Noritomo Itami
- Department of Surgery, Kidney Center, Nikko Memorial Hospital, Hokkaido, Japan
| | - Kunitoshi Iseki
- Clinical Research Support Center, Tomishiro Central Hospital, Okinawa, Japan
| | - Yukio Yuzawa
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Hirokazu Okada
- Department of Nephrology and General Internal Medicine, Saitama Medical University, Saitama, Japan
| | - Daisuke Koya
- Division of Anticipatory Molecular Food Science and Technology, Department of Diabetology and Endocrinology, Kanazawa Medical University, Kanawaza, Ishikawa, Japan
| | - Hideyasu Kiyomoto
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yugo Shibagaki
- Division of Nephrology and Hypertension, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Kenichi Matsuda
- Department of Emergency and Critical Care Medicine, University of Yamanashi School of Medicine, Yamanashi, Japan
| | - Akihiko Kato
- Blood Purification Unit, Hamamatsu University Hospital, Hamamatsu, Japan
| | - Terumasa Hayashi
- Department of Kidney Disease and Hypertension, Osaka General Medical Center, Osaka, Japan
| | - Tomonari Ogawa
- Nephrology and Blood Purification, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Tatsuo Tsukamoto
- Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Eisei Noiri
- Department of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan
| | - Shigeo Negi
- Department of Nephrology, Wakayama Medical University, Wakayama, Japan
| | - Koichi Kamei
- Division of Nephrology and Rheumatology, National Center for Child Health and Development, Tokyo, Japan
| | | | - Naoki Kashihara
- Department of Nephrology and Hypertension, Kawasaki Medical School, Okayama, Japan
| | - Toshiki Moriyama
- Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan
| | - Yoshio Terada
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, Kochi, 783-8505, Japan.
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164
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Acute Kidney Injury Definition and Diagnosis: A Narrative Review. J Clin Med 2018; 7:jcm7100307. [PMID: 30274164 PMCID: PMC6211018 DOI: 10.3390/jcm7100307] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 09/25/2018] [Accepted: 09/26/2018] [Indexed: 12/12/2022] Open
Abstract
Acute kidney injury (AKI) is a complex syndrome characterized by a decrease in renal function and associated with numerous etiologies and pathophysiological mechanisms. It is a common diagnosis in hospitalized patients, with increasing incidence in recent decades, and associated with poorer short- and long-term outcomes and increased health care costs. Considering its impact on patient prognosis, research has focused on methods to assess patients at risk of developing AKI and diagnose subclinical AKI, as well as prevention and treatment strategies, for which an understanding of the epidemiology of AKI is crucial. In this review, we discuss the evolving definition and classification of AKI, and novel diagnostic methods.
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165
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Doi K, Nishida O, Shigematsu T, Sadahiro T, Itami N, Iseki K, Yuzawa Y, Okada H, Koya D, Kiyomoto H, Shibagaki Y, Matsuda K, Kato A, Hayashi T, Ogawa T, Tsukamoto T, Noiri E, Negi S, Kamei K, Kitayama H, Kashihara N, Moriyama T, Terada Y. The Japanese Clinical Practice Guideline for acute kidney injury 2016. J Intensive Care 2018; 6:48. [PMID: 30123509 PMCID: PMC6088399 DOI: 10.1186/s40560-018-0308-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 06/22/2018] [Indexed: 12/20/2022] Open
Abstract
Acute kidney injury (AKI) is a syndrome which has a broad range of etiologic factors depending on different clinical settings. Because AKI has significant impacts on prognosis in any clinical settings, early detection and intervention are necessary to improve the outcomes of AKI patients. This clinical guideline for AKI was developed by a multidisciplinary approach with nephrology, intensive care medicine, blood purification, and pediatrics. Of note, clinical practice for AKI management which was widely performed in Japan was also evaluated with comprehensive literature search.
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Affiliation(s)
- Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Aichi Japan
| | | | - Tomohito Sadahiro
- Department of Emergency and Critical Care Medicine, Tokyo Women’s Medical University Yachiyo Medical Center, Chiba, Japan
| | - Noritomo Itami
- Kidney Center, Department of Surgery, Nikko Memorial Hospital, Hokkaido, Japan
| | - Kunitoshi Iseki
- Clinical Research Support Center, Tomishiro Central Hospital, Okinawa, Japan
| | - Yukio Yuzawa
- Department of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi Japan
| | - Hirokazu Okada
- Department of Nephrology and General Internal Medicine, Saitama Medical University, Saitama, Japan
| | - Daisuke Koya
- Division of Anticipatory Molecular Food Science and Technology, Department of Diabetology and Endocrinology, Kanazawa Medical University, Kanawaza, Ishikawa Japan
| | - Hideyasu Kiyomoto
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yugo Shibagaki
- Division of Nephrology and Hypertension, St. Marianna University School of Medicine, Kawasaki, Kanagawa Japan
| | - Kenichi Matsuda
- Department of Emergency and Critical Care Medicine, University of Yamanashi School of Medicine, Yamanashi, Japan
| | - Akihiko Kato
- Blood Purification Unit, Hamamatsu University Hospital, Hamamatsu, Japan
| | - Terumasa Hayashi
- Department of Kidney Disease and Hypertension, Osaka General Medical Center, Osaka, Japan
| | - Tomonari Ogawa
- Nephrology and Blood Purification, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Tatsuo Tsukamoto
- Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Eisei Noiri
- Department of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan
| | - Shigeo Negi
- Department of Nephrology, Wakayama Medical University, Wakayama, Japan
| | - Koichi Kamei
- Division of Nephrology and Rheumatology, National Center for Child Health and Development, Tokyo, Japan
| | | | - Naoki Kashihara
- Department of Nephrology and Hypertension, Kawasaki Medical School, Okayama, Japan
| | - Toshiki Moriyama
- Health Care Division, Health and Counseling Center, Osaka University, Osaka, Japan
| | - Yoshio Terada
- Department of Endocrinology, Metabolism and Nephrology, Kochi Medical School, Kochi University, Kohasu, Oko-cho, Nankoku, 783-8505 Japan
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Peters E, Antonelli M, Wittebole X, Nanchal R, François B, Sakr Y, Vincent JL, Pickkers P. A worldwide multicentre evaluation of the influence of deterioration or improvement of acute kidney injury on clinical outcome in critically ill patients with and without sepsis at ICU admission: results from The Intensive Care Over Nations audit. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:188. [PMID: 30075798 PMCID: PMC6091052 DOI: 10.1186/s13054-018-2112-z] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 07/03/2018] [Indexed: 01/15/2023]
Abstract
Background Acute kidney injury (AKI) is a common complication of critical illness and is associated with worse outcomes. However, the influence of deterioration or improvement in renal function on clinical outcomes is unclear. Using a large international database, we evaluated the prevalence and evolution of AKI over a 7-day period and its effects on clinical outcomes in septic and non-septic critically ill patients worldwide. Methods From the 10,069 adult intensive care unit (ICU) patients in the Intensive Care Over Nations database, all those with creatinine and urine output data were included in this substudy. Patients who developed sepsis during the ICU stay (≥ 2 days after admission) were excluded. AKI was evaluated within 72 hours after admission and before discharge/death up to day 7 according to the Acute Kidney Injury Network (AKIN) criteria. Results A total of 7970 patients were included, 59% of whom met AKIN criteria for AKI within the first 72 hours of the ICU stay. Twenty-four per cent of patients had sepsis on admission, of whom 68% had AKI, compared to 57% of those without sepsis on admission (p < 0.001). AKIN stage 3 (40% vs 24%, p < 0.001) and use of renal replacement therapy (20% vs 5%, p < 0.0001) were more prevalent in patients with sepsis. Patients with sepsis and AKIN stage 3 were less likely to improve to a lower stage during the 7-day follow-up period than non-septic patients with AKIN stage 3 (21% vs 32%, p < 0.0001). In-hospital mortality was related to severity of AKI and was reduced in patients in whom AKI improved compared to those who remained stable or deteriorated, but remained higher than in patients without AKI, even if there was apparent full recovery at day 7. Conclusion These findings illustrate the different kinetics of AKI in septic and non-septic ICU patients and emphasize the important impact of AKI on mortality rates even when there is apparent full renal recovery at day 7. Electronic supplementary material The online version of this article (10.1186/s13054-018-2112-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Esther Peters
- Department of Intensive Care Medicine, Radboud University Medical Center, HP:710, PO Box 9101, 6500, HB, Nijmegen, The Netherlands
| | - Massimo Antonelli
- Department of Intensive Care and Anesthesiology, Università Cattolica Del Sacro Cuore, Largo A. Gemelli 8, 00168, Rome, Italy
| | - Xavier Wittebole
- Critical Care Department, Cliniques universitaires St Luc, UCL, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Rahul Nanchal
- Department of Medicine, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI, 53226, USA
| | - Bruno François
- Service de Réanimation Polyvalente, CHU Dupuytren, 2, avenue Martin Luther King, 87042, Limoges cedex, France
| | - Yasser Sakr
- Department of Anesthesiology and Intensive Care, Uniklinikum Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Jean-Louis Vincent
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, route de Lennik 808, 1070, Brussels, Belgium
| | - Peter Pickkers
- Department of Intensive Care Medicine, Radboud University Medical Center, HP:710, PO Box 9101, 6500, HB, Nijmegen, The Netherlands.
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167
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Fujii T, Uchino S, Doi K, Sato T, Kawamura T. Diagnosis, management, and prognosis of patients with acute kidney injury in Japanese intensive care units: The JAKID study. J Crit Care 2018; 47:185-191. [PMID: 30015288 DOI: 10.1016/j.jcrc.2018.07.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 06/03/2018] [Accepted: 07/05/2018] [Indexed: 12/29/2022]
Abstract
PURPOSE To determine the proportion of diagnosis and outcomes of critically ill patients with acute kidney injury (AKI), and its association with mortality using the complete Kidney Disease Improving Global Outcomes (KDIGO) classification and Sepsis-3 definition. METHODS We conducted a multicenter prospective cohort study of 13 intensive care units (ICU) in Japan. Patients admitted to the ICUs during six months in 2016 were consecutively enrolled. RESULTS Among 2292 patients, AKI was diagnosed in 1024 (44.7%) patients, using the KDIGO classification. Sepsis was diagnosed in 424 patients (18.5%), of whom 281 patients (66.3%) had AKI. Septic shock was diagnosed in 166 patients (7.2%), of whom 125 patients (75.3%) had AKI. Of 1024 patients with AKI, renal replacement therapy was applied to 171 patients (16.7% of AKI) during the ICU stay. The adjusted odds ratio (aOR) of AKI to hospital mortality was 1.66 (95% confidence intervals 1.26-2.18), while that among sepsis was 0.87 (95% confidence intervals 0.55-1.37). CONCLUSIONS AKI accounted for >40% of ICU patients with the KDIGO classification and was associated with increased risk of hospital mortality. Septic AKI was diagnosed in three-fourths of patients with sepsis, while the impact of AKI on hospital mortality among sepsis was not observed.
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Affiliation(s)
- Tomoko Fujii
- Department of Epidemiology and Preventive Medicine, Kyoto University Graduate School of Medicine, Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan; Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, Japan.
| | - Shigehiko Uchino
- Intensive Care Unit, Department of Anaesthesiology, Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
| | - Tosiya Sato
- Department of Biostatistics, Kyoto University School of Public Health, Yoshida Konoe-cho, Sakyo-ku, Kyoto, Japan.
| | - Takashi Kawamura
- Kyoto University Health Service, Yoshida Hon-machi, Sakyo-ku, Kyoto, Japan.
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168
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Vaara ST, Reinikainen M, Bouchard J. Fluid accumulation in acute kidney injury: More evidence toward harm and current challenges. Acta Anaesthesiol Scand 2018; 62:739-741. [PMID: 29864215 DOI: 10.1111/aas.13142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- S T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Department of Intensive Care, Austin Hospital, Melbourne, Victoria, Australia
| | - M Reinikainen
- Department of Intensive Care, North Karelia Central Hospital, Joensuu, Finland
| | - J Bouchard
- Division of Nephrology, Department of Medicine, Sacré-Coeur Hospital, University of Montreal, Montreal, Quebec, Canada
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169
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Bouma HR, Mungroop HE, de Geus AF, Huisman DD, Nijsten MW, Mariani MA, Scheeren TW, Burgerhof JG, Henning RH, Epema AH. Acute Kidney Injury Classification Underestimates Long-Term Mortality After Cardiac Valve Operations. Ann Thorac Surg 2018; 106:92-98. [DOI: 10.1016/j.athoracsur.2018.01.066] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 12/19/2017] [Accepted: 01/22/2018] [Indexed: 10/17/2022]
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170
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Li Q, Zhao M, Wang X. AKI in the very elderly patients without preexisting chronic kidney disease: a comparison of 48-hour window and 7-day window for diagnosing AKI using the KDIGO criteria. Clin Interv Aging 2018; 13:1151-1160. [PMID: 29950825 PMCID: PMC6016022 DOI: 10.2147/cia.s162899] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Objectives To compare the differences between the Kidney Disease Improving Global Outcomes (KDIGO) criteria of the 48-hour window and the 7-day window in the diagnosis of acute kidney injury (AKI) in very elderly patients, as well as the relationship between the 48-hour and 7-day windows for diagnosis and 90-day mortality. Patients and methods We retrospectively enrolled very elderly patients (≥75 years old) from the geriatrics department of the Chinese PLA General Hospital between January 2007 and December 2015. AKI patients were divided into 48-hour and 7-day groups by their diagnosis criteria. AKI patients were divided into survivor and nonsurvivor groups by their outcomes within 90 days after diagnosis of AKI. Results In total, 652 patients were included in the final analysis. The median age of the cohort was 87 (84–91) years, the majority (623, 95.6%) of whom were male. Of the 652 AKI patients, 334 cases (51.2%) were diagnosed with AKI by the 48-hour window for diagnosis, while 318 cases (48.8%) were by the 7-day window for diagnosis. The 90-day mortality was 42.5% in patients with 48-hour window AKI and 24.2% in patients with 7-day window AKI. Kaplan–Meier curves showed that 90-day mortality was lower in the 7-day window AKI group than in the 48-hour window AKI group (log rank: P<0.001). Multivariate analysis by the Cox model revealed that 48-hour window for diagnosis hazard ratio (HR=1.818; 95% CI: 1.256–2.631; P=0.002) was associated with higher 90-day mortality. Conclusion The 90-day mortality was higher in 48-hour window AKI than in 7-day window AKI in very elderly patients. The 48-hour KDIGO window definition may be less sensitive. The 48-hour KDIGO window definition is significantly better correlated with subsequent mortality and is, therefore, still appropriate for clinical use. Finding early, sensitive biomarkers of kidney damage is a future direction of research.
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Affiliation(s)
- Qinglin Li
- Department of Health Care, Nanlou Division, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Meng Zhao
- Department of Clinical Data Repository, Chinese PLA General Hospital, Beijing, China
| | - Xiaodan Wang
- Department of Health Care, Nanlou Division, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
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171
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Harrois A, Grillot N, Figueiredo S, Duranteau J. Acute kidney injury is associated with a decrease in cortical renal perfusion during septic shock. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:161. [PMID: 29907130 PMCID: PMC6002990 DOI: 10.1186/s13054-018-2067-0] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 05/15/2018] [Indexed: 12/12/2022]
Abstract
Background Renal perfusion status remains poorly studied at the bedside during septic shock. We sought to measure cortical renal perfusion in patients with septic shock during their first 3 days of care using renal contrast enhanced ultrasound (CEUS). Methods We prospectively included 20 ICU patients with septic shock and 10 control patients (CL) without septic shock admitted to a surgical ICU. Cortical renal perfusion was evaluated with CEUS during continuous infusion of Sonovue (Milan, Italy) within the first 24 h (day 0), between 24 and 48 h (day 1) and after 72 h (day 3) of care. Each measurement consisted of three destruction replenishment sequences that were recorded for delayed analysis with dedicated software (Vuebox). Renal perfusion was quantified by measuring the mean transit time (mTT) and the perfusion index (PI), which is the ratio of renal blood volume (rBV) to mTT. Results Cortical renal perfusion was decreased in septic shock as attested by a lower PI and a higher mTT in patients with septic shock than in patients of the CL group (p = 0.005 and p = 0.03). PI values had wider range in patients with septic shock (median (min-max) of 74 arbitrary units (a.u.) (3–736)) than in patients of the CL group 228 a.u. (67–440)). Renal perfusion improved over the first 3 days with a PI at day 3 higher than the PI at day 0 (74 (22–120) versus 160 (88–245) p = 0.02). mTT was significantly higher in patients with severe acute kidney injury (AKI) (n = 13) compared with patients with no AKI (n = 7) over time (p = 0.005). The PI was not different between patients with septic shock with severe AKI and those with no AKI (p = 0.29). Conclusions Although hemodynamic macrovascular parameters were restored, the cortical renal perfusion can be decreased, normal or even increased during septic shock. We observed an average decrease in cortical renal perfusion during septic shock compared to patients without septic shock. The decrease in cortical renal perfusion was associated with severe AKI occurrence. The use of renal CEUS to guide renal perfusion resuscitation needs further investigation.
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Affiliation(s)
- Anatole Harrois
- Anesthesia and Intensive Care Department, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Université Paris-Saclay, Hôpital De Bicêtre, Assistance Publique Hôpitaux de Paris (APHP), 78, Rue du Général Leclerc, 94270 Le Kremlin-Bicêtre, France
| | - Nicolas Grillot
- Anesthesia and Intensive Care Department, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Université Paris-Saclay, Hôpital De Bicêtre, Assistance Publique Hôpitaux de Paris (APHP), 78, Rue du Général Leclerc, 94270 Le Kremlin-Bicêtre, France
| | - Samy Figueiredo
- Anesthesia and Intensive Care Department, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Université Paris-Saclay, Hôpital De Bicêtre, Assistance Publique Hôpitaux de Paris (APHP), 78, Rue du Général Leclerc, 94270 Le Kremlin-Bicêtre, France
| | - Jacques Duranteau
- Anesthesia and Intensive Care Department, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Université Paris-Saclay, Hôpital De Bicêtre, Assistance Publique Hôpitaux de Paris (APHP), 78, Rue du Général Leclerc, 94270 Le Kremlin-Bicêtre, France.
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Renal resistive index as an early predictor and discriminator of acute kidney injury in critically ill patients; A prospective observational cohort study. PLoS One 2018; 13:e0197967. [PMID: 29889830 PMCID: PMC5995360 DOI: 10.1371/journal.pone.0197967] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/05/2018] [Indexed: 01/04/2023] Open
Abstract
Background Acute kidney injury (AKI) complicates shock. Diagnosis is based on rising creatinine, a late phenomenon. Intrarenal vasoconstriction occurs earlier. Measuring flow resistance in the renal circulation, Renal Resistive Index (RRI), could become part of vital organ function assessment using Doppler ultrasound. Our aim was to determine whether RRI on ICU admission is an early predictor and discriminator of AKI developed within the first week. Methods In this prospective cohort of mixed ICU patients with and without shock, RRI was measured <24-h of admission. Besides routine variables, sublingual microcirculation and bioelectrical impedance were measured. AKI was defined by the Kidney Disease Improving Global Outcomes criteria. Uni- and multivariate regression and Receiver Operating Characteristics curve analyses were performed. Results Ninety-nine patients were included, median age 67 years (IQR 59–75), APACHE III score 67 (IQR 53–89). Forty-nine patients (49%) developed AKI within the first week. AKI patients had a higher RRI on admission than those without: 0.71 (0.69–0.73) vs. 0.65 (0.63–0.68), p = 0.001. The difference was significant for AKI stage 2: RRI = 0.72 (0.65–0.80) and 3: RRI = 0.74 (0.67–0.81), but not for AKI stage 1: RRI = 0.67 (0.61–0.74). On univariate analysis, RRI significantly predicted AKI 2–3: OR 1.012 (1.006–1.019); Area Under the Curve (AUC) of RRI for AKI 2–3 was 0.72 (0.61–0.83), optimal cut-off 0.74, sensitivity 53% and specificity 87%. On multivariate analysis, RRI remained significant, independent of APACHE III and fluid balance; adjusted OR: 1.008 (1.000–1.016). Conclusions High RRI on ICU admission was a significant predictor for development of AKI stage 2–3 during the first week. High RRI can be used as an early warning signal RRI, because of its high specificity. A combined score including RRI, APACHE III and fluid balance improved AKI prediction, suggesting that vasoconstriction or poor vascular compliance, severity of disease and positive fluid balance independently contribute to AKI development. Trial registration ClinicalTrials.gov NCT02558166.
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173
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Kane-Gill SL, Smithburger PL, Kashani K, Kellum JA, Frazee E. Clinical Relevance and Predictive Value of Damage Biomarkers of Drug-Induced Kidney Injury. Drug Saf 2018; 40:1049-1074. [PMID: 28674842 DOI: 10.1007/s40264-017-0565-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Nephrotoxin exposure accounts for up to one-fourth of acute kidney injury episodes in hospitalized patients, and the associated consequences are as severe as acute kidney injury due to other etiologies. As the use of nephrotoxic agents represents one of the few modifiable risk factors for acute kidney injury, clinicians must be able to identify patients at high risk for drug-induced kidney injury rapidly. Recently, significant advancements have been made in the field of biomarker utilization for the prediction and detection of acute kidney injury. Such biomarkers may have a role both for detection of drug-induced kidney disease and implementation of preventative and therapeutic strategies designed to mitigate injury. In this article, basic principles of renal biomarker use in practice are summarized, and the existing evidence for six markers specifically used to detect drug-induced kidney injury are outlined, including liver-type fatty acid binding protein, neutrophil gelatinase-associated lipocalin, tissue inhibitor of metalloproteinase-2 times insulin-like growth factor-binding protein 7 ([TIMP-2]·[IGFBP7]), kidney injury molecule-1 and N-acetyl-β-D-glucosaminidase. The results of the literature search for these six kidney damage biomarkers identified 29 unique articles with none detected for liver-type fatty acid binding protein and [TIMP-2]·[IGFBP7]. For three biomarkers, kidney injury molecule-1, neutrophil gelatinase-associated lipocalin and N-acetyl-β-D-glucosaminidase, the majority of the studies suggest utility in clinical practice. While many questions need to be answered to clearly articulate the use of biomarkers to predict drug-induced kidney disease, current data are promising.
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Affiliation(s)
- Sandra L Kane-Gill
- Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, 638 Salk Hall, 3501, Terrace St., Pittsburgh, PA, 15261, USA. .,The Center for Critical Care Nephology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. .,University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
| | - Pamela L Smithburger
- Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, 638 Salk Hall, 3501, Terrace St., Pittsburgh, PA, 15261, USA.,University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kianoush Kashani
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - John A Kellum
- The Center for Critical Care Nephology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,CRISMA (Clinical Research, Investigation and Systems Modeling of Acute Illness) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Erin Frazee
- Department of Pharmacy and Medicine, Mayo Clinic, Rochester, MN, USA
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174
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Renal Blood Flow, Glomerular Filtration Rate, and Renal Oxygenation in Early Clinical Septic Shock*. Crit Care Med 2018. [DOI: 10.1097/ccm.0000000000003088] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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175
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Abstract
Acute kidney injury (AKI) is common in critically ill patients and associated with increased morbidity and mortality. With the increased use of renal replacement therapy (RRT) for severe AKI, the optimal time for initiation of RRT has become one of the most probed and debated topic in the field of nephrology and critical care. There appears to be an increased trend toward earlier initiation of RRT to avoid life-threatening complications associated with AKI. Despite the presence of a plethora of studies in this field, the lack of uniformity in study design, patient population types, definition of early and late initiation, modality of RRT, and results, the optimal time for starting RRT in AKI still remains unknown. The beneficial effects reported in observational studies have not been supported by clinical trials. Recently, 2 of the largest randomized control trials evaluating the timing of RRT in critically ill patients with AKI showed differing results. We provide an in-depth review of the available data on the timing of dialysis in patients with AKI.
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Affiliation(s)
- Nithin Karakala
- 1 Division of Nephrology, Department of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,2 Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Ashita J Tolwani
- 3 Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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176
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Pachucki MA, Ghosh E, Eshelman L, Palanisamy K, Gould T, Thomas M, Bourdeaux CP. Descriptive study of differences in acute kidney injury progression patterns in General and Cardiac Intensive Care Units. J Intensive Care Soc 2018; 20:216-222. [PMID: 31447914 DOI: 10.1177/1751143718771261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background Acute kidney injury is common in critically ill patients with detrimental effects on mortality, length of stay and post-discharge outcomes. The Acute Kidney Injury Network developed guidelines based on urine output and serum creatinine to classify patients into stages of acute kidney injury. Methods In this analysis we utilize the Acute Kidney Injury Network guidelines to evaluate the acute kidney injury stage in patients admitted to general and cardiac intensive care units over a period of 18 months. Acute kidney injury stage was calculated in real time hourly based on the guidelines and using these temporal stage scores calculated for the population; the prevalence and progression of acute kidney injury stage was compared between the two units. We hypothesized that the prevalence and progression of acute kidney injury stage between the two units may be different. Results More cardiac intensive care unit patients had no acute kidney injury (stage <1) during their intensive care unit stay but more cardiac intensive care unit patients developed acute kidney injury (stage >1), compared to the General Intensive Care Unit. Both at intensive care unit admission and discharge, more General Intensive Care Unit patients had acute kidney injury; however, the number of cardiac intensive care unit patients with acute kidney injury was three times higher at discharge than admission. Acute kidney injury developed in a different pattern in the two intensive care units over five days of intensive care unit stay. In the General Intensive Care Unit, acute kidney injury was most prevalent on second day of intensive care unit stay and in cardiac intensive care unit acute kidney injury was most prevalent on the third day of intensive care unit stay. We observed the biggest increase in new acute kidney injury in the first day of General Intensive Care Unit and second day of the cardiac intensive care unit stay. Conclusions The study demonstrates the different trends of acute kidney injury pattern in general and cardiac intensive care unit patient populations highlighting the earlier development of acute kidney injury on General Intensive Care Unit and more prevalence of acute kidney injury on discharge from cardiac intensive care unit.
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Affiliation(s)
| | - Erina Ghosh
- Acute Care Solutions, Philips Research North America, Cambridge, MA, USA
| | - Larry Eshelman
- Acute Care Solutions, Philips Research North America, Cambridge, MA, USA
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Abstract
Critically ill patients with acute kidney injury (AKI) are heterogeneous on pathophysiology and prognosis. The role of endothelial damage in the pathogenesis of refractory AKI has not been clarified. The aim was to determine if biomarkers of endothelial damage, independently of the inflammatory insult on the kidney, can predict recovery of acute kidney injury. METHODS From the "Procalcitonin And Survival Study" multicenter intensive care unit cohort, followed for 28 days after admission, we included patients without chronic kidney disease, who survived >24 h after admission and with plasma samples at admission available for biomarker analysis. We defined AKI by the "Kidney Disease: Improving Global Outcomes" guidelines and recovery of prior kidney function as alive for five consecutive days after admission with no need for renal replacement therapy and creatinine levels consistently below ×1.5 the level before admission. We adjusted models for age, gender, vasopressor treatment, mechanical ventilation and levels of creatinine, procalcitonin, platelets, and bilirubin at admission. RESULTS Of a total 213 with AKI at admission, 99 recovered prior kidney function during follow-up. Endothelial damage on admission, measured by Soluble Thrombomodulin (sTM), was the strongest predictor of a reduced chance of recovery of prior kidney function (sTM in the highest vs. three lower quartiles hazard ratio 0.39; 95% confidence interval 0.21-0.73, P = 0.003). In contrast, the degree of the initial inflammatory insult on the kidney, measured by neutrophil gelatinase-associated lipocalin (NGAL), failed to predict this outcome (NGAL in highest vs. three lower quartiles hazard ratio = 1.20; 95% CI 0.72-2.00; P = 0.48). Procalcitonin, a specific marker of bacterial infection, was also associated with the rate of recovery (PCT in highest vs. three lower quartiles hazard ratio = 0.59; 95% CI 0.36-0.98; P = 0.04). CONCLUSION AKI patients with high levels of sTM had a reduced chance of recovering prior renal function. Our findings support disintegration of the endothelium as a critical point in the pathogenesis of AKI that is refractory to treatment.
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178
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Zhang Y, Jiang L, Wang B, Xi X. Epidemiological characteristics of and risk factors for patients with postoperative acute kidney injury: a multicenter prospective study in 30 Chinese intensive care units. Int Urol Nephrol 2018; 50:1319-1328. [PMID: 29480442 DOI: 10.1007/s11255-018-1828-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 02/17/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND Although there were studies to investigate the risk factors for acute kidney injury (AKI) after surgery, most of them focused on one specific type of surgeries. The risk factors for postoperative AKI in patients undergoing all surgeries in intensive care units (ICU) have not been reported. METHODS Data from 1731 patients undergoing surgery in 30 ICUs of 28 tertiary hospitals in Beijing from March to August 2012 were prospectively collected. AKI was defined and staged by the KDIGO criteria. Multivariate logistic regression analysis was performed to assess independent risk factors for postoperative AKI. RESULTS Postoperative AKI occurred in 44.8% of patients (stage 1 54.8%; stage 2 21.9%, stage 3 23.3%). Cardiovascular surgery was identified as an independent factor for postoperative AKI as well as emergency surgery [odds ratio (OR) 1.403], nephrotoxic drugs (OR 1.303), APACHE II score (OR 1.055), SOFA score (OR 1.115), duration for positive fluid balance (OR 1.165), use of diuretics (OR 2.293), sepsis (OR 1.501), and CKD (OR 4.517). AKI stage 3 versus stages 1-2 was associated with higher mortality in ICU, hospital, and 28-day follow-up after cardiovascular, abdominal, limb, and chest surgeries, while this was not observed after neurosurgery or other surgeries. CONCLUSION Risk factors for AKI in ICU patients after different types of surgery were identified. This might be the first step to reduce the high incidence of AKI after surgery. The presence of AKI in ICU patients was associated with higher mortality after most types of surgery, but not after neurosurgery. TRIAL REGISTRATION ChiCTR-ONC-11001875.
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Affiliation(s)
- Yu Zhang
- Department of Critical Care Medicine, Fu Xing Hospital, Capital Medical University, Beijing, 100038, China
- Department of Intensive Care Units, Tangshan People's Hospital, Tangshan, 063000, China
| | - Li Jiang
- Department of Critical Care Medicine, Fu Xing Hospital, Capital Medical University, Beijing, 100038, China
| | - Baomin Wang
- Department of Intensive Care Units, Tangshan People's Hospital, Tangshan, 063000, China
| | - Xiuming Xi
- Department of Critical Care Medicine, Fu Xing Hospital, Capital Medical University, Beijing, 100038, China.
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179
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Nishida O, Ogura H, Egi M, Fujishima S, Hayashi Y, Iba T, Imaizumi H, Inoue S, Kakihana Y, Kotani J, Kushimoto S, Masuda Y, Matsuda N, Matsushima A, Nakada TA, Nakagawa S, Nunomiya S, Sadahiro T, Shime N, Yatabe T, Hara Y, Hayashida K, Kondo Y, Sumi Y, Yasuda H, Aoyama K, Azuhata T, Doi K, Doi M, Fujimura N, Fuke R, Fukuda T, Goto K, Hasegawa R, Hashimoto S, Hatakeyama J, Hayakawa M, Hifumi T, Higashibeppu N, Hirai K, Hirose T, Ide K, Kaizuka Y, Kan’o T, Kawasaki T, Kuroda H, Matsuda A, Matsumoto S, Nagae M, Onodera M, Ohnuma T, Oshima K, Saito N, Sakamoto S, Sakuraya M, Sasano M, Sato N, Sawamura A, Shimizu K, Shirai K, Takei T, Takeuchi M, Takimoto K, Taniguchi T, Tatsumi H, Tsuruta R, Yama N, Yamakawa K, Yamashita C, Yamashita K, Yoshida T, Tanaka H, Oda S. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2016 (J-SSCG 2016). J Intensive Care 2018; 6:7. [PMID: 29435330 PMCID: PMC5797365 DOI: 10.1186/s40560-017-0270-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 12/11/2017] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND AND PURPOSE The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2016 (J-SSCG 2016), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in February 2017 and published in the Journal of JSICM, [2017; Volume 24 (supplement 2)] 10.3918/jsicm.24S0001 and Journal of Japanese Association for Acute Medicine [2017; Volume 28, (supplement 1)] http://onlinelibrary.wiley.com/doi/10.1002/jja2.2017.28.issue-S1/issuetoc.This abridged English edition of the J-SSCG 2016 was produced with permission from the Japanese Association of Acute Medicine and the Japanese Society for Intensive Care Medicine. METHODS Members of the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine were selected and organized into 19 committee members and 52 working group members. The guidelines were prepared in accordance with the Medical Information Network Distribution Service (Minds) creation procedures. The Academic Guidelines Promotion Team was organized to oversee and provide academic support to the respective activities allocated to each Guideline Creation Team. To improve quality assurance and workflow transparency, a mutual peer review system was established, and discussions within each team were open to the public. Public comments were collected once after the initial formulation of a clinical question (CQ) and twice during the review of the final draft. Recommendations were determined to have been adopted after obtaining support from a two-thirds (> 66.6%) majority vote of each of the 19 committee members. RESULTS A total of 87 CQs were selected among 19 clinical areas, including pediatric topics and several other important areas not covered in the first edition of the Japanese guidelines (J-SSCG 2012). The approval rate obtained through committee voting, in addition to ratings of the strengths of the recommendation, and its supporting evidence were also added to each recommendation statement. We conducted meta-analyses for 29 CQs. Thirty-seven CQs contained recommendations in the form of an expert consensus due to insufficient evidence. No recommendations were provided for five CQs. CONCLUSIONS Based on the evidence gathered, we were able to formulate Japanese-specific clinical practice guidelines that are tailored to the Japanese context in a highly transparent manner. These guidelines can easily be used not only by specialists, but also by non-specialists, general clinicians, nurses, pharmacists, clinical engineers, and other healthcare professionals.
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Affiliation(s)
- Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192 Japan
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Moritoki Egi
- Department of anesthesiology, Kobe University Hospital, Kobe, Japan
| | - Seitaro Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan
| | - Yoshiro Hayashi
- Department of Intensive Care Medicine, Kameda Medical Center, Kamogawa, Japan
| | - Toshiaki Iba
- Department of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Hitoshi Imaizumi
- Department of Anesthesiology and Critical Care Medicine, Tokyo Medical University School of Medicine, Tokyo, Japan
| | - Shigeaki Inoue
- Department of Emergency and Critical Care Medicine, Tokai University Hachioji Hospital, Tokyo, Japan
| | - Yasuyuki Kakihana
- Department of Emergency and Intensive Care Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Joji Kotani
- Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshiki Masuda
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Naoyuki Matsuda
- Department of Emergency & Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Asako Matsushima
- Department of Advancing Acute Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Taka-aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Satoshi Nakagawa
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Shin Nunomiya
- Division of Intensive Care, Department of Anesthesiology and Intensive Care Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Tomohito Sadahiro
- Department of Emergency and Critical Care Medicine, Tokyo Women’s Medical University Yachiyo Medical Center, Tokyo, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Institute of Biomedical & Health Sciences, Hiroshima University, Higashihiroshima, Japan
| | - Tomoaki Yatabe
- Department of Anesthesiology and Intensive Care Medicine, Kochi Medical School, Kochi, Japan
| | - Yoshitaka Hara
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192 Japan
| | - Kei Hayashida
- Department of Emergency and Critical Care Medicine, School of Medicine, Keio University, Tokyo, Japan
| | - Yutaka Kondo
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Yuka Sumi
- Healthcare New Frontier Promotion Headquarters Office, Kanagawa Prefectural Government, Yokohama, Japan
| | - Hideto Yasuda
- Department of Intensive Care Medicine, Kameda Medical Center, Kamogawa, Japan
| | - Kazuyoshi Aoyama
- Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada
- Department of Anesthesia, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Takeo Azuhata
- Division of Emergency and Critical Care Medicine, Departmen of Acute Medicine, Nihon university school of Medicine, Tokyo, Japan
| | - Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Matsuyuki Doi
- Department of Anesthesiology and Intensive Care, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Naoyuki Fujimura
- Department of Anesthesiology, St. Mary’s Hospital, Westminster, UK
| | - Ryota Fuke
- Division of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University Hospital, Sendai, Japan
| | - Tatsuma Fukuda
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Koji Goto
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, Oita University, Oita, Japan
| | - Ryuichi Hasegawa
- Department of Emergency and Intensive Care Medicine, Mito Clinical Education and Training Center, Tsukuba University Hospital, Mito Kyodo General Hospital, Mito, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Tsukuba, Japan
| | - Junji Hatakeyama
- Department of Intensive Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - Mineji Hayakawa
- Emergency and Critical Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Toru Hifumi
- Emergency Medical Center, Kagawa University Hospital, Miki, Japan
| | - Naoki Higashibeppu
- Department of Anesthesia and Critical Care, Kobe City Medical Center General Hospital, Kobe City Hospital Organization, Kobe, Japan
| | - Katsuki Hirai
- Department of Pediatrics, Kumamoto Red cross Hospital, Kumamoto, Japan
| | - Tomoya Hirose
- Emergency and Critical Care Medical Center, Osaka Police Hospital, Osaka, Japan
| | - Kentaro Ide
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Yasuo Kaizuka
- Department of Emergency & ICU, Steel Memorial Yawata Hospital, Kitakyushu, Japan
| | - Tomomichi Kan’o
- Department of Emergency & Critical Care Medicine Kitasato University, Tokyo, Japan
| | - Tatsuya Kawasaki
- Department of Pediatric Critical Care, Shizuoka Children’s Hospital, Shizuoka, Japan
| | - Hiromitsu Kuroda
- Department of Anesthesia, Obihiro Kosei Hospital, Obihiro, Japan
| | - Akihisa Matsuda
- Department of Surgery, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan
| | - Shotaro Matsumoto
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Masaharu Nagae
- Department of anesthesiology, Kobe University Hospital, Kobe, Japan
| | - Mutsuo Onodera
- Department of Emergency and Critical Care Medicine, Tokushima University Hospital, Tokushima, Japan
| | - Tetsu Ohnuma
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA
| | - Kiyohiro Oshima
- Department of Emergency Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Nobuyuki Saito
- Shock and Trauma Center, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan
| | - So Sakamoto
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Mikio Sasano
- Department of Intensive Care Medicine, Nakagami Hospital, Uruma, Japan
| | - Norio Sato
- Department of Aeromedical Services for Emergency and Trauma Care, Ehime University Graduate School of Medicine, Matsuyama, Japan
| | - Atsushi Sawamura
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Kentaro Shimizu
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kunihiro Shirai
- Department of Emergency and Critical Care Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Tetsuhiro Takei
- Department of Emergency and Critical Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - Muneyuki Takeuchi
- Department of Intensive Care Medicine, Osaka Women’s and Children’s Hospital, Osaka, Japan
| | - Kohei Takimoto
- Department of Intensive Care Medicine, Kameda Medical Center, Kamogawa, Japan
| | - Takumi Taniguchi
- Department of Anesthesiology and Intensive Care Medicine, Kanazawa University, Kanazawa, Japan
| | - Hiroomi Tatsumi
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Ryosuke Tsuruta
- Advanced Medical Emergency and Critical Care Center, Yamaguchi University Hospital, Ube, Japan
| | - Naoya Yama
- Department of Diagnostic Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Kazuma Yamakawa
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Chizuru Yamashita
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192 Japan
| | - Kazuto Yamashita
- Department of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Yoshida
- Intensive Care Unit, Osaka University Hospital, Osaka, Japan
| | - Hiroshi Tanaka
- Department of Emergency and Disaster Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shigeto Oda
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
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Skube SJ, Katz SA, Chipman JG, Tignanelli CJ. Acute Kidney Injury and Sepsis. Surg Infect (Larchmt) 2018; 19:216-224. [DOI: 10.1089/sur.2017.261] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Steven J. Skube
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota
| | - Stephen A. Katz
- Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, Minnesota
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181
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Brynildsen J, Petäjä L, Pettilä V, Nygård S, Vaara ST, Linko R, Okkonen M, Hagve TA, Soininen L, Suojaranta-Ylinen R, Lyngbakken MN, Omland T, Røsjø H. The predictive value of NT-proBNP and hs-TnT for risk of death in cardiac surgical patients. Clin Biochem 2018; 53:65-71. [PMID: 29371002 DOI: 10.1016/j.clinbiochem.2018.01.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Revised: 12/11/2017] [Accepted: 01/19/2018] [Indexed: 12/28/2022]
Abstract
BACKGROUND European System for Cardiac Operative Risk Evaluation II (EuroSCORE II) is used for risk stratification before cardiac surgery, but whether N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin T (hs-TnT) may add prognostic information to EuroSCORE II is not known. METHODS Preoperative (n=640) and postoperative (n=629) blood samples were available from cardiac surgical patients with 961-day follow-up (FINNAKI Heart study; cohort #1). The accuracy of a parsimonious risk model with NT-proBNP measurements was also tested in 90 patients with respiratory failure after cardiac surgery (FINNALI study; cohort #2). RESULTS Sixty-one patients (9.5%) died during follow-up in cohort #1. Preoperative NT-proBNP and hs-TnT concentrations correlated (rho=0.58; p<0.001) and were higher in non-survivors compared to survivors: median 2027 (Q1-3 478-5387) vs. 373 (134-1354) ng/L [NT-proBNP] and 39 (16-191) vs. 13 (8-32) ng/L [hs-TnT]; p<0.001 for both. Preoperative NT-proBNP concentrations were associated with time to death after adjustment for EuroSCORE II (HR [lnNT-proBNP] 1.33 [95% CI 1.08-1.64]), p=0.008 and reclassified patients on top of EuroSCORE II (net reclassification index 0.39 [95% CI 0.14-0.64], p=0.003). Pre- and postoperative NT-proBNP concentrations were closely correlated (rho=0.80, p<0.001) and postoperative NT-proBNP concentrations were also associated with long-term mortality after adjustment for EuroSCORE II. A parsimonious risk model that included age, creatinine clearance, chronic pulmonary disease, and NT-proBNP measurements provided comparable prognostic accuracy as EuroSCORE II in cohort #1 and #2 for risk of long-term mortality. hs-TnT measurements did not add to NT-proBNP measurements CONCLUSION: NT-proBNP measurements could improve and simplify risk prediction in cardiac surgical patients.
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Affiliation(s)
- Jon Brynildsen
- Division of Medicine, Akershus University Hospital, Lørenskog, Norway; Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Liisa Petäjä
- Division of Anesthesiology, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland; Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ståle Nygård
- Bioinformatics Core Facility, Institute for Medical Informatics, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Suvi T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Rita Linko
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Marjatta Okkonen
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Tor-Arne Hagve
- Division of Diagnostics and Technology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Leena Soininen
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Raili Suojaranta-Ylinen
- Division of Anesthesiology, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Magnus Nakrem Lyngbakken
- Division of Medicine, Akershus University Hospital, Lørenskog, Norway; Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Torbjørn Omland
- Division of Medicine, Akershus University Hospital, Lørenskog, Norway; Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Helge Røsjø
- Division of Medicine, Akershus University Hospital, Lørenskog, Norway; Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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182
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Büttner S, Stadler A, Mayer C, Patyna S, Betz C, Senft C, Geiger H, Jung O, Finkelmeier F. Incidence, Risk Factors, and Outcome of Acute Kidney Injury in Neurocritical Care. J Intensive Care Med 2018; 35:338-346. [PMID: 29378487 DOI: 10.1177/0885066617748596] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
PURPOSE Acute kidney injury (AKI) is a severe complication in medical and surgical intensive care units accounting for a high morbidity and mortality. Incidence, risk factors, and prognostic impact of this deleterious condition are well established in this setting. Data concerning the neurocritically ill patients is scarce. Therefore, aim of this study was to determine the incidence of AKI and elucidate risk factors in this special population. METHODS Patients admitted to a specialized neurocritical care unit between 2005 and 2011 with a length of stay above 48 hours were analyzed retrospectively for incidence, cause, and outcome of AKI (AKI Network-stage ≥2). RESULTS The study population comprised 681 neurocritically ill patients from a mixed neurosurgical and neurological intensive care unit. The prevalence of chronic kidney disease (CKD) was 8.4% (57/681). Overall incidence of AKI was 11.6% with 36 (45.6%) patients developing dialysis-requiring AKI. Sepsis was the main cause of AKI in nearly 50% of patients. Acute kidney injury and renal replacement therapy are independent predictors of worse outcome (hazard ratio [HR]: 3.704; 95% confidence interval [CI]: 1.867-7.350; P < .001; and HR: 2.848; CI: 1.301-6.325; P = .009). Chronic kidney disease was the strongest independent risk factor (odds ratio: 12.473; CI: 5.944-26.172; P < .001), whereas surgical intervention or contrast agents were not associated with AKI. CONCLUSIONS Acute kidney injury in neurocritical care has a high incidence and is a crucial risk factor for mortality independently of the underlying neurocritical condition. Sepsis is the main cause of AKI in this setting. Therefore, careful prevention of infectious complications and considering CKD in treatment decisions may lower the incidence of AKI and hereby improve outcome in neurocritical care.
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Affiliation(s)
- Stefan Büttner
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Andrea Stadler
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Christoph Mayer
- Department of Neurology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Sammy Patyna
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Christoph Betz
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Christian Senft
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Helmut Geiger
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Oliver Jung
- Medical Clinic III, Department of Nephrology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Fabian Finkelmeier
- Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany.,Medical Clinic I, Gastroenterology, Hepatology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
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183
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Beitland S, Joannidis M. Biomarkers of acute kidney injury - a mission impossible? Acta Anaesthesiol Scand 2018; 62:2-5. [PMID: 29210067 DOI: 10.1111/aas.13010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- S. Beitland
- Oslo Renal Research Group Ullevål; Institute of Clinical Medicine; Faculty of Medicine; University of Oslo; Oslo Norway
- Department of Anaesthesiology; Division of Emergencies and Critical Care; Oslo University Hospital; Oslo Norway
| | - M. Joannidis
- Division of Intensive Care and Emergency Medicine; Department of Internal Medicine; Medical University Innsbruck; Innsbruck Austria
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184
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Abstract
Acute kidney injury (AKI) is a common complication in hospitalized patients and is associated with adverse short- and long-term outcomes. AKI is diagnosed by serum creatinine (SCr)-based consensus definitions that capture an abrupt decrease in glomerular filtration rate associated with AKI. However, SCr-based AKI definitions lack sensitivity and specificity for diagnosing structural kidney injury. Moreover, AKI is a heterogeneous condition consisting of distinct phenotypes based on its etiology, prognosis, and molecular pathways, and that may potentially require different therapies. SCr-based AKI definitions provide no information on these AKI phenotypes. This review highlights traditional and novel tools that overcome the limitations of SCr-based AKI definitions to improve AKI phenotyping.
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Affiliation(s)
- Dennis G Moledina
- Program of Applied Translational Research, Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
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185
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Nishida O, Ogura H, Egi M, Fujishima S, Hayashi Y, Iba T, Imaizumi H, Inoue S, Kakihana Y, Kotani J, Kushimoto S, Masuda Y, Matsuda N, Matsushima A, Nakada T, Nakagawa S, Nunomiya S, Sadahiro T, Shime N, Yatabe T, Hara Y, Hayashida K, Kondo Y, Sumi Y, Yasuda H, Aoyama K, Azuhata T, Doi K, Doi M, Fujimura N, Fuke R, Fukuda T, Goto K, Hasegawa R, Hashimoto S, Hatakeyama J, Hayakawa M, Hifumi T, Higashibeppu N, Hirai K, Hirose T, Ide K, Kaizuka Y, Kan'o T, Kawasaki T, Kuroda H, Matsuda A, Matsumoto S, Nagae M, Onodera M, Ohnuma T, Oshima K, Saito N, Sakamoto S, Sakuraya M, Sasano M, Sato N, Sawamura A, Shimizu K, Shirai K, Takei T, Takeuchi M, Takimoto K, Taniguchi T, Tatsumi H, Tsuruta R, Yama N, Yamakawa K, Yamashita C, Yamashita K, Yoshida T, Tanaka H, Oda S. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2016 (J-SSCG 2016). Acute Med Surg 2018; 5:3-89. [PMID: 29445505 PMCID: PMC5797842 DOI: 10.1002/ams2.322] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 10/11/2017] [Indexed: 11/11/2022] Open
Abstract
Background and Purpose The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2016 (J-SSCG 2016), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in February 2017 in Japanese. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. Methods Members of the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine were selected and organized into 19 committee members and 52 working group members. The guidelines were prepared in accordance with the Medical Information Network Distribution Service (Minds) creation procedures. The Academic Guidelines Promotion Team was organized to oversee and provide academic support to the respective activities allocated to each Guideline Creation Team. To improve quality assurance and workflow transparency, a mutual peer review system was established, and discussions within each team were open to the public. Public comments were collected once after the initial formulation of a clinical question (CQ), and twice during the review of the final draft. Recommendations were determined to have been adopted after obtaining support from a two-thirds (>66.6%) majority vote of each of the 19 committee members. Results A total of 87 CQs were selected among 19 clinical areas, including pediatric topics and several other important areas not covered in the first edition of the Japanese guidelines (J-SSCG 2012). The approval rate obtained through committee voting, in addition to ratings of the strengths of the recommendation and its supporting evidence were also added to each recommendation statement. We conducted meta-analyses for 29 CQs. Thirty seven CQs contained recommendations in the form of an expert consensus due to insufficient evidence. No recommendations were provided for 5 CQs. Conclusions Based on the evidence gathered, we were able to formulate Japanese-specific clinical practice guidelines that are tailored to the Japanese context in a highly transparent manner. These guidelines can easily be used not only by specialists, but also by non-specialists, general clinicians, nurses, pharmacists, clinical engineers, and other healthcare professionals.
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186
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Christiansen S, Christensen S, Pedersen L, Gammelager H, Layton JB, Brookhart MA, Christiansen CF. Timing of renal replacement therapy and long-term risk of chronic kidney disease and death in intensive care patients with acute kidney injury. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017; 21:326. [PMID: 29282093 PMCID: PMC5745999 DOI: 10.1186/s13054-017-1903-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/29/2017] [Indexed: 11/25/2022]
Abstract
Background The optimal time to initiate renal replacement therapy (RRT) in intensive care unit (ICU) patients with acute kidney injury (AKI) is unclear. We examined the impact of early RRT on long-term mortality, risk of chronic kidney disease (CKD), and end-stage renal disease (ESRD). Methods This cohort study included all adult patients treated with continuous RRT in the ICU at Aarhus University Hospital, Skejby, Denmark (2005–2015). Data were obtained from a clinical information system and population-based registries. Early treatment was defined as RRT initiation at AKI stage 2 or below, and late treatment was defined as RRT initiation at AKI stage 3. Inverse probability of treatment (IPT) weights were computed from propensity scores. The IPT-weighted cumulative risk of CKD (estimated glomerular filtration rate < 60 ml/minute/1.73 m2), ESRD, and mortality was estimated and compared using IPT-weighted Cox regression. Results The mortality, CKD, and ESRD analyses included 1213, 303, and 617 patients, respectively. The 90-day mortality in the early RRT group was 53.6% compared with 46.0% in the late RRT group (HR 1.24, 95% CI 1.03–1.48). The 90-day to 5-year mortality was 37.7% and 41.5% in the early and late RRT groups, respectively (HR 0.95, 95% CI 0.70–1.29). The 5-year risk of CKD was 35.9% in the early RRT group and 44.9% in the late RRT group (HR 0.74, 95% CI 0.46–1.18). The 5-year risk of ESRD was 13.3% in the early RRT group and 16.7% in the late RRT group (HR 0.79, 95% CI 0.47–1.32). Conclusions Early initiation was associated with increased 90-day mortality. In patients surviving to day 90, early initiation was not associated with a major impact on long-term mortality or risk of CKD and ESRD. Despite potential residual confounding due to the observational design, our findings do not support that early RRT initiation is superior to late initiation. Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1903-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Søren Christiansen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark.
| | - Steffen Christensen
- Department of Anesthesiology and Intensive Care Medicine, Aarhus University Hospital, Brendstrupgaardsvej 100, 8200, Aarhus N, Denmark
| | - Lars Pedersen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark
| | - Henrik Gammelager
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark.,Department of Anesthesiology and Intensive Care Medicine, Viborg Regional Hospital, Heibergs Alle 4, 8800, Viborg, Denmark
| | - J Bradley Layton
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - M Alan Brookhart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christian Fynbo Christiansen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200, Aarhus N, Denmark
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187
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Giannasi SE, Venuti MS, Midley AD, Roux N, Kecskes C, San Román E. Mortality risk factors in elderly patients in intensive care without limitation of therapeutic effort. Med Intensiva 2017; 42:482-489. [PMID: 29289386 DOI: 10.1016/j.medin.2017.10.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 10/24/2017] [Accepted: 10/26/2017] [Indexed: 01/22/2023]
Abstract
OUTCOME To determine mortality prognostic factors in elderly patients who are admitted to intensive care units (ICUs) due to acute critical illness. DESIGN A prospective cohort study was carried out. SETTING A polyvalent Intensive Care Unit at a University Hospital in Argentina. PATIENTS OR PARTICIPANTS We included 249 patients over 65years of age who were consecutively admitted to the ICU and required mechanical ventilation for more than 48hours, between January 2011 and December 2012. Patients with degenerative neurological disease, limitation of therapeutic effort or on chronic mechanical ventilation were excluded. PRINCIPAL VARIABLES OF INTEREST In-hospital mortality, comorbidity (Charlson index), APACHEII score, and pre-acute illness status were recorded: nutritional status (subjective global assessment), functionality (activities of daily living [ADL] and Barthel index), cognitive abilities (Short Reporting Questionnaire on Cognitive Decline in the Elderly [S_IQCODE]) and quality of life (EQ-5D). RESULTS The in-hospital mortality rate was 52%. Logistic regression analysis, after adjusting for APACHEII score and age, identified the following independent variables associated to mortality: male gender (OR: 2.46, 95%CI: 1.37-4.42), moderate malnutrition (OR: 2.07, 95%CI: 1.09-3.94), severe malnutrition (OR: 2.20, 95%CI: 1.06-4.59), and ADL<6 (OR: 2.35, 95%CI: 1.16-4.75). CONCLUSIONS In our study, chronological age was not associated to in-hospital mortality. However, loss of functional independence (assessed by ADL) and malnourishment were shown to be strong prognostic factors; knowing these baseline characteristics from ICU admission would be useful when making decisions regarding the intensity of treatment.
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Affiliation(s)
- S E Giannasi
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - M S Venuti
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
| | - A D Midley
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - N Roux
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - C Kecskes
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
| | - E San Román
- Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
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188
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Penttilä AK, Lindström O, Hästbacka J, Kuuliala K, Mustonen H, Puolakkainen P, Kuuliala A, Salmi M, Hämäläinen M, Moilanen E, Repo H, Kylänpää L. Interleukin 8 and hepatocyte growth factor in predicting development of severe acute pancreatitis. COGENT MEDICINE 2017. [DOI: 10.1080/2331205x.2017.1396634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Anne K. Penttilä
- Department of Gastrointestinal Surgery, Helsinki University Hospital and University of Helsinki, P. O. Box 340, 00029 HUS, Helsinki, Finland
| | - Outi Lindström
- Department of Gastrointestinal Surgery, Helsinki University Hospital and University of Helsinki, P. O. Box 340, 00029 HUS, Helsinki, Finland
| | - Johanna Hästbacka
- Department of Anesthesiology, Intensive Care Medicine and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Krista Kuuliala
- Department of Bacteriology and Immunology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Harri Mustonen
- Department of Gastrointestinal Surgery, Helsinki University Hospital and University of Helsinki, P. O. Box 340, 00029 HUS, Helsinki, Finland
| | - Pauli Puolakkainen
- Department of Gastrointestinal Surgery, Helsinki University Hospital and University of Helsinki, P. O. Box 340, 00029 HUS, Helsinki, Finland
| | - Antti Kuuliala
- Department of Bacteriology and Immunology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Marko Salmi
- Department of Medical Microbiology and Immunology, University of Turku, Turku, Finland
| | - Mari Hämäläinen
- The Immunopharmacology Research Group, Faculty of Medicine and Life Sciences, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Eeva Moilanen
- The Immunopharmacology Research Group, Faculty of Medicine and Life Sciences, University of Tampere and Tampere University Hospital, Tampere, Finland
| | - Heikki Repo
- Department of Bacteriology and Immunology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Leena Kylänpää
- Department of Gastrointestinal Surgery, Helsinki University Hospital and University of Helsinki, P. O. Box 340, 00029 HUS, Helsinki, Finland
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189
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Mårtensson J, Vaara ST, Pettilä V, Ala-Kokko T, Karlsson S, Inkinen O, Uusaro A, Larsson A, Bell M. Assessment of plasma endostatin to predict acute kidney injury in critically ill patients. Acta Anaesthesiol Scand 2017; 61:1286-1295. [PMID: 28857121 DOI: 10.1111/aas.12988] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 06/12/2017] [Accepted: 08/13/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND We evaluated whether plasma endostatin predicts acute kidney injury (AKI), need for renal replacement therapy (RRT), or death. METHODS Prospective, observational, multicenter study from 1 September 2011 to 1 February 2012 with data from 17 intensive care units (ICUs) in Finland. RESULTS A total of 1112 patients were analyzed. We measured plasma endostatin within 2 h of ICU admission. Early AKI (KDIGO stage within 12 h of ICU admission) was found in 20% of the cohort, and 18% developed late AKI (KDIGO criteria > 12 h from ICU admission). Median (IQR) admission endostatin was higher in the early AKI group, 29 (19.1, 41.9) ng/ml as compared to 22.4 (16.1, 30.1) ng/ml for the late AKI group, and 18 (14.0, 23.6) ng/ml for non-AKI patients (P < 0.001). Endostatin level increased with increasing KDIGO stage. Significantly higher endostatin levels were found in patients with sepsis as compared to those without. Predictive properties for AKI, RRT, and mortality were low with corresponding areas under the receiver operating characteristic curve (AUC) of 0.62, 0.67, and 0.59. Sensitivity analyses among patients with chronic kidney disease or sepsis did not improve the predictive ability of endostatin. Adding endostatin to a clinical AKI prediction model (illness severity score, urine output, and age) insignificantly changed the AUC from 0.67 to 0.70 (P = 0.14). CONCLUSIONS Endostatin increases with AKI severity but has limited value as a predictor of AKI, RRT and 90-day mortality in patients admitted to ICU. Moreover, endostatin does not improve AKI risk prediction when added to a clinical risk model.
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Affiliation(s)
- J. Mårtensson
- Perioperative Medicine and Intensive Care; Department of Physiology and Pharmacology; Karolinska Institutet; Karolinska University Hospital; Stockholm Sweden
- Department of Intensive Care; Austin Hospital; Heidelberg Vic. Australia
| | - S. T. Vaara
- Department of Intensive Care; Austin Hospital; Heidelberg Vic. Australia
- Intensive Care Medicine; Department of Anesthesiology; Intensive Care and Pain Medicine; Helsinki University Hospital; University of Helsinki; Helsinki Finland
| | - V. Pettilä
- Intensive Care Medicine; Department of Anesthesiology; Intensive Care and Pain Medicine; Helsinki University Hospital; University of Helsinki; Helsinki Finland
| | - T. Ala-Kokko
- Medical Research Center; Research Group of Surgery, Anesthesia and Intensive Care; University of Oulu; Oulu Finland
- Department of Anesthesiology; Division of Intensive Care; Oulu University Hospital; Oulu Finland
| | - S. Karlsson
- Intensive Care Medicine; Tampere University Hospital; University of Tampere; Tampere Finland
| | - O. Inkinen
- Intensive Care; Turku University Hospital; Turku Finland
| | - A. Uusaro
- Intensive Care; Kuopio University Hospital; Kuopio Finland
| | - A. Larsson
- Department of Medical Sciences, Clinical Chemistry; Uppsala University; Uppsala Sweden
| | - M. Bell
- Perioperative Medicine and Intensive Care; Department of Physiology and Pharmacology; Karolinska Institutet; Karolinska University Hospital; Stockholm Sweden
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190
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Nie S, Feng Z, Tang L, Wang X, He Y, Fang J, Li S, Yang Y, Mao H, Jiao J, Liu W, Cao N, Wang W, Sun J, Shao F, Li W, He Q, Jiang H, Lin H, Fu P, Zhang X, Liu Y, Wu Y, Xi C, Liang M, Qu Z, Zhu J, Wu G, Zheng Y, Na Y, Li Y, Li W, Cai G, Chen X. Risk Factor Analysis for AKI Including Laboratory Indicators: a Nationwide Multicenter Study of Hospitalized Patients. Kidney Blood Press Res 2017; 42:761-773. [PMID: 29136619 DOI: 10.1159/000484234] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 06/16/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND/AIMS Risk factor studies for acute kidney injury (AKI) in China are lacking, especially those regarding non-traditional risk factors, such as laboratory indicators. METHODS All adult patients admitted to 38 tertiary and 22 secondary hospitals in China in any one month between July and December 2014 were surveyed. AKI patients were screened according to the Kidney Disease: Improving Global Outcomes' definition of AKI. Logistic regression was used to analyze the risk factors for AKI, and Cox regression was used to analyze the risk of in-hospital mortality for AKI patients; additionally, a propensity score analysis was used to reconfirm the risk factors among laboratory indicators for mortality. RESULTS The morbidity of AKI was 0.97%. Independent risk factors for AKI were advancing age, male gender, hypertension, and chronic kidney disease. All-cause mortality was 16.5%. The predictors of mortality in AKI patients were advancing age, tumor, higher uric acid level and increases in Acute Physiologic Assessment and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores. The hazard ratio (HR) for mortality with uric acid levels > 9.1 mg/dl compared with ≤ 5.2 mg/dl was 1.78 (95% CI: 1.23 to 2.58) for the AKI patients as a group, and was 1.73 (95% CI: 1.24 to 2.42) for a propensity score-matched set. CONCLUSION In addition to traditional risk factors, uric acid level is an independent predictor of all-cause mortality after AKI.
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Affiliation(s)
- Sasa Nie
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Zhe Feng
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Li Tang
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Xiaolong Wang
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Yani He
- Department of Nephrology, Daping Hospital, the Third Military Medical University, Chongqing, China
| | - Jingai Fang
- Department of Nephrology, the First Hospital of Shanxi Medical University, Taiyuan, China
| | - Suhua Li
- Department of Nephrology, the First Affiliate Hospital of Xinjiang Medical University, Urumqi, China
| | - Yibin Yang
- Department of Nephrology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Huijuan Mao
- Department of Nephrology, the Jiangsu Province Hospital, Nanjing, China
| | - Jundong Jiao
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Wenhu Liu
- Department of Nephrology, Beiijng Freindship Hospital, Capital Medical University, Beijing, China
| | - Ning Cao
- Department of blood purification, General Hospital of Shenyang Military Area Command, Shenyang, China
| | - Wenge Wang
- Department of Nephrology, Lanzhou University Second hospital, Lanzhou, China
| | - Jifeng Sun
- Department of Nephrology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Fengmin Shao
- Department of Nephrology, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China
| | - Wenge Li
- Department of Nephrology, China-Japan Friendship Hospital, Beijing, China
| | - Qiang He
- Department of Nephrology, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Hongli Jiang
- Blood purification center, the First Affiliated Hospital of Xian Jiaotong University, Xi'an, China
| | - Hongli Lin
- Department of Nephrology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ping Fu
- Department of Nephrology, West China Hospital of Sichuan University, Chengdu, China
| | - Xinzhou Zhang
- Department of Nephrology, Shenzhen People's Hospital, Shenzhen, China
| | - Yinghong Liu
- Department of Nephrology, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Yonggui Wu
- Department of Nephrology, the Frist Affiliated Hospital of Anhui Medical university, Hefei, China
| | - ChunSheng Xi
- Department of Nephrology, the Lanzhou Military General Hospital, Lanzhou, China
| | - Meng Liang
- Department of Nephrology, Chenggong Hospital Xiamen University, Xiamen, China
| | - Zhijie Qu
- Department of Nephrology, the Second Hospital of Jilin University, Changchun, China
| | - Jun Zhu
- Department of Nephrology, the Chengdu Military General Hospital, Chengdu, China
| | - Guangli Wu
- Department of Nephrology, the Bethune international peace hospital of PLA, Shijiazhuang, China
| | - Yali Zheng
- Department of Nephrology, Ningxia People's Hospital, Yinchuan, China
| | - Yu Na
- Department of Nephrology, the 306th Hospital of PLA, Beijing, China
| | - Ying Li
- Department of Nephrology, the Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Wei Li
- Department of Nephrology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Guangyan Cai
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Xiangmei Chen
- Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
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191
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Heparin-binding protein (HBP) improves prediction of sepsis-related acute kidney injury. Ann Intensive Care 2017; 7:105. [PMID: 29047023 PMCID: PMC5647316 DOI: 10.1186/s13613-017-0330-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 10/11/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Sepsis-related acute kidney injury (AKI) accounts for major morbidity and mortality among the critically ill. Heparin-binding protein (HBP) is a promising biomarker in predicting development and prognosis of severe sepsis and septic shock that has recently been proposed to be involved in the pathophysiology of AKI. The objective of this study was to investigate the added predictive value of measuring plasma HBP on admission to the intensive care unit (ICU) regarding the development of septic AKI. METHODS We included 601 patients with severe sepsis or septic shock from the prospective, observational FINNAKI study conducted in seventeen Finnish ICUs during a 5-month period (1 September 2011-1 February 2012). The main outcome measure was the development of KDIGO AKI stages 2-3 from 12 h after admission up to 5 days. Statistical analysis for the primary endpoint included construction of a clinical risk model, area under the receiver operating curve (ROC area), category-free net reclassification index (cfNRI) and integrated discrimination improvement (IDI) with 95% confidence intervals (95% CI). RESULTS Out of 511 eligible patients, 101 (20%) reached the primary endpoint. The addition of plasma HBP to a clinical risk model significantly increased ROC area (0.82 vs. 0.78, p = 0.03) and risk classification scores: cfNRI 62.0% (95% CI 40.5-82.4%) and IDI 0.053 (95% CI 0.029-0.075). CONCLUSIONS Plasma HBP adds predictive value to known clinical risk factors in septic AKI. Further studies are warranted to compare the predictive performance of plasma HBP to other novel AKI biomarkers.
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192
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Holmes J, Roberts G, Geen J, Dodd A, Selby NM, Lewington A, Scholey G, Williams JD, Phillips AO. Utility of electronic AKI alerts in intensive care: A national multicentre cohort study. J Crit Care 2017; 44:185-190. [PMID: 29145061 DOI: 10.1016/j.jcrc.2017.10.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 09/27/2017] [Accepted: 10/17/2017] [Indexed: 01/20/2023]
Abstract
BACKGROUND Electronic AKI alerts highlight changes in serum creatinine compared to the patient's own baseline. Our aim was to identify all AKI alerts and describe the relationship between electronic AKI alerts and outcome for AKI treated in the Intensive Care Unit (ICU) in a national multicentre cohort. METHODS A prospective cohort study was undertaken between November 2013 and April 2016, collecting data on electronic AKI alerts issued. RESULTS 10% of 47,090 incident AKI alerts were associated with ICU admission. 90-day mortality was 38.2%. Within the ICU cohort 48.8% alerted in ICU. 51.2% were transferred to ICU within 7days of the alert, of which 37.8% alerted in a hospital setting (HA-AKI) and 62.2% in a community setting (CA-AKI). Mortality was higher in patients transferred to ICU following the alert compared to those who had an incident alert on the ICU (p<0.001), and was higher in HA-AKI (45.3%) compared to CA-AKI (39.5%) (35.0%, p=0.01). In the surviving patients, the proportion of patient recovering renal function following, was significantly higher in HA-AKI alerting (84.2%, p=0.004) and CA-AKI alerting patients (87.6%, p<0.001) compared to patients alerting on the ICU (78.3%). CONCLUSION The study provides a nationwide characterisation of AKI in ICU highlighting the high incidence and its impact on patient outcome. The data also suggests that within the cohort of AKI patients treated in the ICU there are significant differences in the presentation and outcome between those patients that require transfer to the ICU after AKI is identified and those who develop AKI following ICU admission. Moreover, the study demonstrates that using AKI e-alerts provides a centralised resource which does not rely on clinical diagnosis of AKI or coding, resulting in a robust data set which can be used to define the incidence and outcome of AKI in the ICU setting.
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Affiliation(s)
- Jennifer Holmes
- Welsh Renal Clinical Network, Cwm Taf University Health Board, UK
| | - Gethin Roberts
- Department of Clinical Biochemistry, Hywel Dda University Health Board, UK
| | - John Geen
- Department of Clinical Biochemistry, Cwm Taf University Health Board, Merthyr, UK; Faculty of Life Sciences and Education, University of South, Wales, UK
| | - Alan Dodd
- Department of Clinical Biochemistry, Cwm Taf University Health Board, Merthyr, UK
| | - Nicholas M Selby
- Centre for Kidney Research and Innovation, Division of Medical Sciences, University of Nottingham, UK
| | - Andrew Lewington
- Department of Nephrology, St James's University Hospital, Leeds, UK
| | - Gareth Scholey
- Department of Intensive Care, University Hospital of Wales, Cardiff, UK
| | - John D Williams
- Institute of Nephrology, Cardiff University School of Medicine, Cardiff, UK
| | - Aled O Phillips
- Institute of Nephrology, Cardiff University School of Medicine, Cardiff, UK.
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Tejera D, Varela F, Acosta D, Figueroa S, Benencio S, Verdaguer C, Bertullo M, Verga F, Cancela M. Epidemiology of acute kidney injury and chronic kidney disease in the intensive care unit. Rev Bras Ter Intensiva 2017; 29:444-452. [PMID: 29211186 PMCID: PMC5764556 DOI: 10.5935/0103-507x.20170061] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 06/11/2017] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE To describe the epidemiology of acute kidney injury, its relationship to chronic kidney disease, and the factors associated with its incidence. METHODS A cohort study and follow-up were conducted in an intensive care unit in Montevideo, Uruguay. We included patients admitted between November 2014 and October 2015 who were older than 15 years of age and who had at least two measurements of serum creatinine. We excluded patients who were hospitalized for less than 48 hours, patients who died at the time of hospitalization, and patients with chronic renal disease who were on hemodialysis or peritoneal dialysis. There were no interventions. Acute kidney injury was defined according to the criteria set forth in Acute Kidney Injury Disease: Improving Global Outcomes, and chronic kidney disease was defined according to the Chronic Kidney Disease Work Group. RESULTS We included 401 patients, 56.6% male, median age of 68 years (interquartile range (IQR) 51-79 years). The diagnosis at admission was severe sepsis 36.3%, neurocritical 16.3%, polytrauma 15.2%, and other 32.2%. The incidence of acute kidney injury was 50.1%, and 14.1% of the patients suffered from chronic kidney disease. The incidence of acute septic kidney injury was 75.3%. Mortality in patients with or without acute kidney injury was 41.8% and 14%, respectively (p < 0.001). In the multivariate analysis, the most significant variables for acute kidney injury were chronic kidney disease (odds ratio (OR) 5.39, 95%CI 2.04 - 14.29, p = 0.001), shock (OR 3.94, 95%CI 1.72 - 9.07, p = 0.001), and severe sepsis (OR 7.79, 95%CI 2.02 - 29.97, p = 0.003). CONCLUSION The incidence of acute kidney injury is high mainly in septic patients. Chronic kidney disease was independently associated with the development of acute kidney injury.
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194
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Tarvasmäki T, Haapio M, Mebazaa A, Sionis A, Silva-Cardoso J, Tolppanen H, Lindholm MG, Pulkki K, Parissis J, Harjola VP, Lassus J. Acute kidney injury in cardiogenic shock: definitions, incidence, haemodynamic alterations, and mortality. Eur J Heart Fail 2017; 20:572-581. [PMID: 28960633 DOI: 10.1002/ejhf.958] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 06/05/2017] [Accepted: 06/27/2017] [Indexed: 12/20/2022] Open
Affiliation(s)
- Tuukka Tarvasmäki
- Emergency Medicine, University of Helsinki, and Department of Emergency Medicine and Services, Helsinki University Hospital, Helsinki, Finland
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mikko Haapio
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Alexandre Mebazaa
- INSERM U942, Hôpital Lariboisière, APHP and University Paris Diderot, Paris, France
| | - Alessandro Sionis
- Intensive Cardiac Care Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute IIB Sant Pau, Universitat de Barcelona, Barcelona, Spain
| | - José Silva-Cardoso
- CINTESIS - Center for Health Technology and Services Research, Department of Cardiology, Faculty of Medicine, University of Porto, São João Medical Center, Porto, Portugal
| | - Heli Tolppanen
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Heart Center, Päijät-Häme Central Hospital, Lahti, Finland
| | - Matias Greve Lindholm
- Intensive Cardiac Care Unit, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Kari Pulkki
- Department of Clinical Chemistry, University of Eastern Finland and Eastern Finland Laboratory Centre, Kuopio, Finland
| | - John Parissis
- Heart Failure Unit, Attikon University Hospital, Athens, Greece
| | - Veli-Pekka Harjola
- Emergency Medicine, University of Helsinki, and Department of Emergency Medicine and Services, Helsinki University Hospital, Helsinki, Finland
| | - Johan Lassus
- Heart and Lung Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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195
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Young A, Crawford T, Pierre AS, Trent Magruder J, Fraser C, Conte J, Whitman G, Sciortino C. Renal ultrasound provides low utility in evaluating cardiac surgery associated acute kidney injury. J Cardiothorac Surg 2017; 12:75. [PMID: 28865484 PMCID: PMC5581929 DOI: 10.1186/s13019-017-0637-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Accepted: 08/24/2017] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Renal ultrasonography is part of the algorithm in assessing acute kidney injury (AKI). The purpose of this study was to assess the clinical utility of renal US in postoperative cardiac patients who develop AKI. METHODS We conducted a retrospective study of 90 postoperative cardiac surgery patients at a single institution from 1/19/2010 to 3/19/2016 who underwent renal US for AKI. We reviewed provider documentation to determine whether renal US changed management. We defined change as: administration of crystalloid or colloid, addition of inotropic or vasopressor, or procedural interventions on the renal system. RESULTS Mean age of study patients was 68 ± 13 years. 48/90 patients (53.3%) had pre-existing chronic kidney disease of varying severity. 48 patients (53.3%) had normal renal US with incidental findings and 31 patients (34.4%) had US evidence of medical kidney disease. 10 patients (11.1%) had limited US results due to poor visualization and 1 patient (1.1%) had mild right-sided hydronephrosis. No patients were found to have obstructive uropathy or renal artery stenosis. Clinical management was altered in only 4/90 patients (4.4%), which included 3 patients that received a fluid bolus and 1 patient that received a fluid bolus and inotropes. No vascular or urologic procedures resulted from US findings. CONCLUSION Although renal ultrasound is often utilized in the work-up of AKI, our study shows that renal US provides little benefit in managing postoperative cardiac patients. This diagnostic modality should be scrutinized rather than viewed as a universal measure in the cardiac surgery population.
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Affiliation(s)
- Allen Young
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - Todd Crawford
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - Alejandro Suarez Pierre
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - J. Trent Magruder
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - Charles Fraser
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - John Conte
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - Glenn Whitman
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Sheikh Zayed Tower 1800 Orleans Street, Baltimore, MD 21287 USA
| | - Christopher Sciortino
- Division of Cardiac Surgery, University of Pittsburgh Medical Center (UPMC) Presbyterian, Suite C-700, 200 Lothrop St. Pittsburgh, Pittsburgh, PA 15213 USA
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196
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Kang HR, Lee SN, Cho YJ, Jeon JS, Noh H, Han DC, Park S, Kwon SH. A decrease in serum creatinine after ICU admission is associated with increased mortality. PLoS One 2017; 12:e0183156. [PMID: 28837589 PMCID: PMC5570436 DOI: 10.1371/journal.pone.0183156] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 07/31/2017] [Indexed: 12/22/2022] Open
Abstract
Background The elevation of serum creatinine (SCr), acute kidney injury (AKI), is associated with an increase of mortality in critically ill patients. However, it is uncertain whether a decrease in SCr in the intensive care unit (ICU) has an effect on outcomes. Methods In a retrospective study, we enrolled 486 patients who had been admitted to an urban tertiary center ICU between Jan 2014 and Dec 2014. The effect of changes in SCr after ICU admission on 90 day mortality was analyzed. Patients were classified into 3 groups based on change in SCr after ICU admission: a stable SCr group (Δ SCr < 0.3mg/dL during ICU stay), a decreased SCr group (Δ SCr ≥ -0.3 mg/dL during ICU stay) and an increased SCr group with criteria based on the KDIGO AKI criteria. Results In total, 486 patients were identified. SCr decreased in 123 (25.3%) patients after ICU admission. AKI developed in 125 (24.4%) patients. The overall 90-day mortality rate was 29.0%. In a Kaplan-Meyer analysis, the mortality of the AKI group was higher than that of other groups (p<0.0001). Patients with a decrease in SCr had a higher mortality rate than those with stable SCr (p<0.0001). A Cox analysis showed that both a decrease in SCR (HR, 3.56; 95% CI, 1.59–7.97; p = 0.002) and an increase in SCr (AKI stage 1, HR, 9.35; 95% CI, 4.18–20.9; p<0.0001; AKI stage 2, HR, 11.82; 95% CI, 3.85–36.28; p<0.0001; AKI stage 3, HR, 17.41; 95% CI, 5.50–55.04; p<0.0001) were independent risk factors for death compared to stable SCr. Conclusion Not only an increase in SCr, but also a decrease in SCr was associated with mortality in critically ill patients.
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Affiliation(s)
- Hye Ran Kang
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
| | - Si Nae Lee
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
| | - Yun Ju Cho
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
| | - Jin Seok Jeon
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
- Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Korea
| | - Hyunjin Noh
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
- Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Korea
| | - Dong Cheol Han
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
- Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Korea
| | - Suyeon Park
- Department of Biostatistics, Soonchunhyang University Hospital, Seoul, Korea
| | - Soon Hyo Kwon
- Division of Nephrology, Soonchunhyang University Hospital, Seoul, Korea
- Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Korea
- * E-mail:
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197
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A new scoring model for the prediction of mortality in patients with acute kidney injury. Sci Rep 2017; 7:7862. [PMID: 28801674 PMCID: PMC5554175 DOI: 10.1038/s41598-017-08440-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 07/13/2017] [Indexed: 12/29/2022] Open
Abstract
Currently, little information is available to stratify the risks and predict acute kidney injury (AKI)-associated death. In this present cross-sectional study, a novel scoring model was established to predict the probability of death within 90 days in patients with AKI diagnosis. For establishment of predictive scoring model, clinical data of 1169 hospitalized patients with AKI were retrospectively collected, and 731 patients of them as the first group were analyzed by the method of multivariate logistic regression analysis to create a scoring model and further predict patient death. Then 438 patients of them as the second group were used for validating this prediction model according to the established scoring method. Our results showed that Patient’s age, AKI types, respiratory failure, central nervous system failure, hypotension, and acute tubular necrosis-individual severity index (ATN-ISI) score are independent risk factors for predicting the death of AKI patients in the created scoring model. Moreover, our scoring model could accurately predict cumulative AKI and mortality rate in the second group. In conclusion, this study identified the risk factors of 90-day mortality for hospitalized AKI patients and established a scoring model for predicting 90-day prognosis, which could help to interfere in advance for improving the quality of life and reduce mortality rate of AKI patients.
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198
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Farooq U, Tober A, Chinchilli V, Reeves WB, Ghahramani N. Definition, Management, and Outcomes of Acute Kidney Injury: An International Survey of Nephrologists. KIDNEY DISEASES 2017; 3:120-126. [PMID: 29344507 DOI: 10.1159/000478264] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 06/07/2017] [Indexed: 12/23/2022]
Abstract
Background Acute kidney injury (AKI) is a complex disease burdened by uncertainties of definition, management strategies, and prognosis. This study explores the relationship between demographic characteristics of nephrologists and their perceptions about the definition, management, and follow-up of AKI. Methods We developed a Web-based survey, the International Survey on Acute Kidney Injury (ISAKI), consisting of 29 items in 4 categories: (1) demographic and practice characteristics, (2) definition of AKI, (3) management of renal replacement therapy (RRT) in AKI, and (4) sequelae of AKI. A multivariable stepwise logistic regression model was used to examine relationships between the dependent variables and the demographic characteristics of the respondents. Results Responses from 743 nephrologists from 90 countries were analyzed. The majority (60%) of respondents reported using RIFLE and/or AKIN criteria regularly to define AKI, although US nephrologists were less likely to do so (OR: 0.58; 95% CI: 0.42-0.85). The most common initial RRT modality was intermittent hemodialysis (63.5%), followed by continuous RRT (23.8%). Faculty affiliation was associated with a higher likelihood of using a dialysis schedule of ≥4 times a week (OR: 1.75; 95% CI: 1.20-2.55). The respondents believed that a single episode of AKI increases the likelihood of development of chronic kidney disease (CKD) (55%), subsequent AKI (36%), and rapid progression of preexisting CKD (87%). US nephrologists were less likely to recommend follow-up after resolution of AKI (OR: 0.15; 95% CI: 0.07-0.33). Conclusions Our findings highlight the need for a widely accepted consensus definition of AKI, a uniform approach to management, and improved follow-up after resolution of AKI episodes.
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Affiliation(s)
- Umar Farooq
- Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Aaron Tober
- Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Vernon Chinchilli
- Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - W Brian Reeves
- University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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The effect of low-dose furosemide in critically ill patients with early acute kidney injury: A pilot randomized blinded controlled trial (the SPARK study). J Crit Care 2017; 42:138-146. [PMID: 28732314 DOI: 10.1016/j.jcrc.2017.07.030] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 07/11/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE Furosemide is commonly prescribed in acute kidney injury (AKI). Prior studies have found conflicting findings on whether furosemide modifies the course and outcome of AKI. METHODS Pilot multi-center randomized blinded placebo-controlled trial in adult patients with AKI admitted to three intensive care units. Participants were randomly allocated to furosemide bolus and infusion or 0.9% saline placebo. Primary endpoint was worsening AKI, defined by the RIFLE criteria. Secondary endpoints were kidney recovery, renal replacement therapy (RRT) and adverse events. RESULTS The trial was terminated after enrollment of 73 participants (37 to furosemide and 36 to placebo). Mean (SD) age was 61.7 (14.3), 79.5% were medical admissions, mean (SD) APACHE II score was 26.6 (7.8), 90.4% received mechanical ventilation and 61.6% received vasoactives. Groups were similar at baseline. No differences were found in the proportion with worsening AKI (43.2% vs. 37.1%, p=0.6), kidney recovery (29.7% vs. 42.9%, p=0.3), or RRT (27.0% s. 28.6%, p=0.8). Adverse events, mostly electrolyte abnormalities, were more common in furosemide-treated patients (p<0.001). Protocol deviations were common, due often to supplementary furosemide. CONCLUSIONS In this pilot trial, furosemide did not reduce the rate of worsening AKI, improve recovery or reduce RRT; however, was associated with greater electrolyte abnormalities. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT00978354 registered September 9, 2014.
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200
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Potter DA, Wroe N, Redhead H, Lewington AJ. Outcomes in patients with acute kidney injury reviewed by Critical Care Outreach: What is the role of the National Early Warning Score? J Intensive Care Soc 2017; 18:300-309. [PMID: 29123560 DOI: 10.1177/1751143717715968] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Introduction This study investigated outcomes in critically unwell acute kidney injury patients and the role of the National Early Warning Score and other factors in identifying patients who experience negative outcomes. Methods Retrospective cohort study investigating 64 patients seen by Critical Care Outreach between November 2014 and February 2015. Mortality at one year was analysed using multivariate regression; all other statistical tests were non-parametric. Results Forty-four per cent of patients required escalation to higher level care, 56% failed to survive beyond one year and 30% of those who did survive had a deterioration in renal function. Previous acute kidney injury significantly predicted mortality but the National Early Warning Score did not. A subgroup of patients developed Stage 3 acute kidney injury before a rise in National Early Warning Score. Conclusions Acute kidney injury in the Critical Care Outreach patient population is associated with high morbidity and mortality. Previous acute kidney injury and acute kidney injury stage may be superior to the National Early Warning Score at identifying patients in need of Critical Care Outreach review.
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Affiliation(s)
- Daniel A Potter
- University of Leeds, Leeds Teaching Hospitals, National Institute for Health Research Diagnostic Evidence Co-operative, Leeds, UK
| | - Nicholas Wroe
- University of Leeds, Leeds Teaching Hospitals, National Institute for Health Research Diagnostic Evidence Co-operative, Leeds, UK
| | - Helen Redhead
- University of Leeds, Leeds Teaching Hospitals, National Institute for Health Research Diagnostic Evidence Co-operative, Leeds, UK
| | - Andrew Jp Lewington
- University of Leeds, Leeds Teaching Hospitals, National Institute for Health Research Diagnostic Evidence Co-operative, Leeds, UK
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