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Zhao CC, Ye Y, Li ZQ, Wu XH, Zhao C, Hu ZJ. Effect of goal-directed fluid therapy on renal function in critically ill patients: a systematic review and meta-analysis. Ren Fail 2022; 44:777-789. [PMID: 35535511 PMCID: PMC9103701 DOI: 10.1080/0886022x.2022.2072338] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Objective To evaluate whether goal-directed fluid therapy (GDFT) reduces the risk of renal injury in critical illness. Methods MEDLINE via PubMed, EMBASE, CENTRAL and CBM was searched from inception to 13 March 2022, for studies comparing the effect of GDFT with usual care on renal function in critically ill patients. GDFT was defined as a protocolized intervention based on hemodynamic and/or oxygen delivery parameters. A fixed or random effects model was applied to calculate the pooled odds ratio (OR) based on heterogeneity through the included studies. Results A total of 28 studies with 9,019 patients were included. The pooled data showed that compared with usual care, GDFT reduced the incidence of acute kidney injury (AKI) in critical illness (OR 0.62, 95% confidence interval (CI) 0.47 to 0.80, p< 0.001). Sensitivity analysis with only low risk of bias studies showed the same result. Subgroup analyses found that GDFT was associated with a lower AKI incidence in both postoperative and medical patients. The reduction was significant in GDFT aimed at dynamic indicators. However, no significant difference was found between groups in RRT support (OR 0.88, 95% CI 0.74 to 1.05, p= 0.17). GDFT tended to increase fluid administration within the first 6 h, decrease fluid administration after 24 h, and was associated with more vasopressor requirements. Conclusions This meta-analysis suggests that GDFT aimed at dynamic indicators may be an effective way to prevent AKI in critical illness. This may indicate a benefit from early adequate fluid resuscitation and the combined effect of vasopressors.
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Affiliation(s)
- Cong-Cong Zhao
- Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yan Ye
- Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhi-Qiang Li
- Department of Intensive Care Unit, North China University of Science and Technology Affiliated Hospital, Tangshan, China
| | - Xin-Hui Wu
- Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chai Zhao
- Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhen-Jie Hu
- Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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2
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Katayama HT, Gomes BC, Lobo SMA, Chaves RCDF, Corrêa TD, Assunção MSC, Serpa Neto A, Malbouisson LMS, Silva-Jr JM. The effects of acute kidney injury in a multicenter cohort of high-risk surgical patients. Ren Fail 2021; 43:1338-1348. [PMID: 34579622 PMCID: PMC8477947 DOI: 10.1080/0886022x.2021.1977318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Patients who develop post-operative acute kidney injury (AKI) have a poor prognosis, especially when undergoing high-risk surgery. Therefore, the objective of this study was to evaluate the outcome of patients with AKI acquired after non-cardiac surgery and the possible risk factors for this complication. METHODS A multicenter, prospective cohort study with patients admitted to intensive care units (ICUs) after non-cardiac surgery was conducted to assess whether they developed AKI. The patients who developed AKI were then compared to non-AKI patients. RESULTS A total of 29 ICUs participated, of which 904 high-risk surgical patients were involved in the study. The occurrence of AKI in the post-operative period was 15.8%, and the mortality rate of post-operative AKI patients at 28 days was 27.6%. AKI was strongly associated with 28-day mortality (OR = 2.91; 95% CI 1.51-5.62; p = 0.001), and a higher length of ICU and hospital stay (p < 0.001). Independent factors for the risk of developing AKI were pre-operative anemia (OR = 7.01; 95% CI 1.69-29.07), elective surgery (OR = 0.45; 95% CI 0.21-0.97), SAPS 3 (OR = 1.04; 95% CI 1.02-1.06), post-operative vasopressor use (OR = 2.47; 95% CI 1.34-4.55), post-operative infection (OR = 8.82; 95% CI 2.43-32.05) and the need for reoperation (OR= 7.15; 95% CI 2.58-19.79). CONCLUSION AKI was associated with the risk of death in surgical patients and those with anemia before surgery, who had a higher SAPS 3, needed a post-operative vasopressor, or had a post-operative infection or needed reoperation were more likely to develop AKI post-operatively.
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Affiliation(s)
| | | | | | | | | | | | | | | | - João Manoel Silva-Jr
- Faculdade de Medicina, Hospital das Clínicas, Universidade de São Paulo, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil
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3
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McInnes G, Sharo AG, Koleske ML, Brown JEH, Norstad M, Adhikari AN, Wang S, Brenner SE, Halpern J, Koenig BA, Magnus DC, Gallagher RC, Giacomini KM, Altman RB. Opportunities and challenges for the computational interpretation of rare variation in clinically important genes. Am J Hum Genet 2021; 108:535-548. [PMID: 33798442 PMCID: PMC8059338 DOI: 10.1016/j.ajhg.2021.03.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Genome sequencing is enabling precision medicine-tailoring treatment to the unique constellation of variants in an individual's genome. The impact of recurrent pathogenic variants is often understood, however there is a long tail of rare genetic variants that are uncharacterized. The problem of uncharacterized rare variation is especially acute when it occurs in genes of known clinical importance with functionally consequential variants and associated mechanisms. Variants of uncertain significance (VUSs) in these genes are discovered at a rate that outpaces current ability to classify them with databases of previous cases, experimental evaluation, and computational predictors. Clinicians are thus left without guidance about the significance of variants that may have actionable consequences. Computational prediction of the impact of rare genetic variation is increasingly becoming an important capability. In this paper, we review the technical and ethical challenges of interpreting the function of rare variants in two settings: inborn errors of metabolism in newborns and pharmacogenomics. We propose a framework for a genomic learning healthcare system with an initial focus on early-onset treatable disease in newborns and actionable pharmacogenomics. We argue that (1) a genomic learning healthcare system must allow for continuous collection and assessment of rare variants, (2) emerging machine learning methods will enable algorithms to predict the clinical impact of rare variants on protein function, and (3) ethical considerations must inform the construction and deployment of all rare-variation triage strategies, particularly with respect to health disparities arising from unbalanced ancestry representation.
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Affiliation(s)
- Gregory McInnes
- Biomedical Informatics Training Program, Stanford University, Stanford, CA 94305, USA
| | - Andrew G Sharo
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Megan L Koleske
- Department of Bioengineering and Therapeutics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Julia E H Brown
- Program in Bioethics, University of California, San Francisco, San Francisco, CA 94143, USA; Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Matthew Norstad
- Program in Bioethics, University of California, San Francisco, San Francisco, CA 94143, USA; Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Aashish N Adhikari
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Illumina, Inc., Foster City, CA 94404, USA
| | - Sheng Wang
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
| | - Steven E Brenner
- Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA 94720, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jodi Halpern
- UCSF-UCB Joint Medical Program, School of Public Health, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Barbara A Koenig
- Program in Bioethics, University of California, San Francisco, San Francisco, CA 94143, USA; Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94143, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Social & Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Humanities & Social Sciences, University of California, San Francisco, San Francisco, CA 94143, USA
| | - David C Magnus
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Renata C Gallagher
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Russ B Altman
- Departments of Bioengineering & Genetics, Stanford University, Stanford, CA 94305, USA.
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4
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Asad A, Burton JO, March DS. Exercise as a therapeutic option for acute kidney injury: mechanisms and considerations for the design of future clinical studies. BMC Nephrol 2020; 21:446. [PMID: 33097033 PMCID: PMC7585193 DOI: 10.1186/s12882-020-02098-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 10/09/2020] [Indexed: 12/18/2022] Open
Abstract
Acute kidney injury (AKI) is a known risk factor for chronic kidney disease (CKD) and end stage kidney disease (ESKD). The progression from AKI to CKD, despite being well recognised, is not completely understood, although sustained inflammation and fibrosis are implicated. A therapeutic intervention targeting the post AKI stage could reduce the progression to CKD, which has high levels of associated morbidity and mortality. Exercise has known anti-inflammatory effects with animal AKI models demonstrating its use as a therapeutic agent in abrogating renal injury. This suggests the use of an exercise rehabilitation programme in AKI patients following discharge could attenuate renal damage and improve long term patient outcomes. In this review article we outline considerations for future clinical studies of exercise in the AKI population.
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Affiliation(s)
- Anam Asad
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - James O Burton
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.,NIHR Leicester Biomedical Research Centre, Leicester, UK.,School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Daniel S March
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK. .,NIHR Leicester Biomedical Research Centre, Leicester, UK.
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Silva Júnior JM, Chaves RCDF, Corrêa TD, Assunção MSCD, Katayama HT, Bosso FE, Amendola CP, Serpa Neto A, Malbouisson LMS, Oliveira NED, Veiga VC, Rojas SSO, Postalli NF, Alvarisa TK, Lucena BMND, Oliveira RAGD, Sanches LC, Silva UVDAE, Nassar Junior AP. Epidemiology and outcome of high-surgical-risk patients admitted to an intensive care unit in Brazil. Rev Bras Ter Intensiva 2020; 32:17-27. [PMID: 32401988 PMCID: PMC7206944 DOI: 10.5935/0103-507x.20200005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 11/18/2019] [Indexed: 02/06/2023] Open
Abstract
Objective To define the epidemiological profile and the main determinants of morbidity and mortality in noncardiac high surgical risk patients in Brazil. Methods This was a prospective, observational and multicenter study. All noncardiac surgical patients admitted to intensive care units, i.e., those considered high risk, within a 1-month period were evaluated and monitored daily for a maximum of 7 days in the intensive care unit to determine complications. The 28-day postoperative, intensive care unit and hospital mortality rates were evaluated. Results Twenty-nine intensive care units participated in the study. Surgeries were performed in 25,500 patients, of whom 904 (3.5%) were high-risk (95% confidence interval - 95%CI 3.3% - 3.8%) and were included in the study. Of the participating patients, 48.3% were from private intensive care units, and 51.7% were from public intensive care units. The length of stay in the intensive care unit was 2.0 (1.0 - 4.0) days, and the length of hospital stay was 9.5 (5.4 - 18.6) days. The complication rate was 29.9% (95%CI 26.4 - 33.7), and the 28-day postoperative mortality rate was 9.6% (95%CI 7.4 - 12.1). The independent risk factors for complications were the Simplified Acute Physiology Score 3 (SAPS 3; odds ratio - OR = 1.02; 95%CI 1.01 - 1.03) and Sequential Organ Failure Assessment Score (SOFA) on admission to the intensive care unit (OR = 1.17; 95%CI 1.09 - 1.25), surgical time (OR = 1.001, 95%CI 1.000 - 1.002) and emergency surgeries (OR = 1.93, 95%CI, 1.10 - 3.38). In addition, there were associations with 28-day mortality (OR = 1.032; 95%CI 1.011 - 1.052), SAPS 3 (OR = 1.041; 95%CI 1.107 - 1.279), SOFA (OR = 1.175, 95%CI 1.069 - 1.292) and emergency surgeries (OR = 2.509; 95%CI 1.040 - 6.051). Conclusion Higher prognostic scores, elderly patients, longer surgical times and emergency surgeries were strongly associated with higher 28-day mortality and more complications during the intensive care unit stay.
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Affiliation(s)
| | | | | | | | | | | | | | - Ary Serpa Neto
- Hospital Israelita Albert Einstein, São Paulo, SP, Brasil
| | | | - Neymar Elias de Oliveira
- Hospital de Base, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brasil
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Which Multicenter Randomized Controlled Trials in Critical Care Medicine Have Shown Reduced Mortality? A Systematic Review. Crit Care Med 2019; 47:1680-1691. [DOI: 10.1097/ccm.0000000000004000] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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