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Cheng L, Jia HM, Zheng X, Jiang YJ, Xin X, Li WX. Association between the levels of urinary cell cycle biomarkers and non-recovery of renal function among critically ill geriatric patients with acute kidney injury. Ren Fail 2024; 46:2304099. [PMID: 38390828 PMCID: PMC10919300 DOI: 10.1080/0886022x.2024.2304099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 01/06/2024] [Indexed: 02/24/2024] Open
Abstract
The lack of early renal function recovery among geriatric patients with acute kidney injury (AKI) in the intensive care unit (ICU) is a commonly observed and acknowledged poor prognostic factor, especially for older adults. However, no reliable prognostic biomarker is available for identifying individuals at risk of renal non-recovery or mortality in older adults. In this prospective observational cohort study, we enrolled critically ill older adults (aged ≥ 60 years) with AKI from the ICU and followed their disease progression. The primary endpoint was renal non-recovery within seven days of follow-up, while the secondary endpoint was the determinants of 30-day mortality after AKI. We assessed the predictive accuracy using receiver operating characteristic curves and performed between-group comparisons using the log-rank test. Among 209 older adults, 117 (56.0%) experienced renal recovery. Multiple regression analysis revealed that urine levels of tissue inhibitor of metalloproteinase-2 (TIMP-2) multiplied by insulin-like growth factor-binding protein 7 (IGFBP7) ([TIMP-2]*[IGFBP7]), AKI stages 2-3, and the Acute Physiology and Chronic Health Evaluation (APACHE II) score were independently associated with renal non-recovery. The regression model incorporating [TIMP-2]*[IGFBP7] demonstrated a fair predictive value (AUC 0.774, p < 0.001), with the optimal threshold set at 0.81 (ng/mL)2/1000. When [TIMP-2]*[IGFBP7] was combined with AKI severity and the APACHE score, the AUC increased to 0.851. In conclusion, urine [TIMP-2]*[IGFBP7] is a reliable biomarker associated with renal non-recovery in critically ill older adults, and its predictive efficacy can be further enhanced when combined with AKI severity and the APACHE score.
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Affiliation(s)
- Li Cheng
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
- Department of Emergent Intensive Critical Unit, Beijing Lu-he Hospital, Capital Medical University, Beijing, China
| | - Hui-Miao Jia
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Xi Zheng
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Yi-Jia Jiang
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Xin Xin
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Wen-Xiong Li
- Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
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White KC, Laupland KB, Bellomo R. Authors reply: "How a positive fluid balance develops in acute kidney injury: A binational, observational study". J Crit Care 2024; 83:154856. [PMID: 38964946 DOI: 10.1016/j.jcrc.2024.154856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 06/27/2024] [Indexed: 07/06/2024]
Affiliation(s)
- Kyle C White
- Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, QLD, Australia; Intensive Care Unit, Queen Elizabeth II Jubilee Hospital, Coopers Plains, QLD, Australia; School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia; Mayne Academy of Critical Care, Faculty of Medicine, University of Queensland, St Lucia, QLD, Australia.
| | - Kevin B Laupland
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia; Intensive Care Services, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Rinaldo Bellomo
- Department of Intensive Care, Austin Hospital, Heidelberg, VIC, Australia; Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia; Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
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Regis SC, Del Castillo-Rix D, Duque JC, Colombo R. Evaluating the incidence and risk factors for developing acute tubular necrosis after percutaneous coronary intervention in the management of coronary artery dissection. Int J Cardiol 2024; 414:132403. [PMID: 39089479 DOI: 10.1016/j.ijcard.2024.132403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/29/2024] [Accepted: 07/26/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND Coronary artery dissection is managed primarily conservatively with serial imaging or percutaneous coronary intervention (PCI). Exposure to contrast in either modality could potentially result in acute tubular necrosis (ATN). However, no data compares ATN incidence in these management strategies. This study compares the incidence of ATN and associated mortality of PCI and conservative management of coronary artery dissection. METHODS A retrospective analysis was performed using data from the National Inpatient Sample database, including patients with coronary artery dissection between 2016 through 2020. We analyzed the incidence of ATN and associated mortality of PCI and conservative management of coronary artery dissection. RESULTS We found that the odds of developing ATN were 22% lower in patients managed with PCI than those managed conservatively. There was no difference in the in-hospital mortality or hospital length of stay between the two groups but the mortality rate in patients with ATN was double that of those who did not develop ATN in both PCI and conservatively managed groups. CONCLUSIONS The higher incidents of ATN in patients with coronary dissection being managed with conservative measures compared to PCI suggest that the use of CTA may be harmful. Additionally, persons who developed ATN may have higher mortality. Therefore, more studies in the management of coronary artery dissection need to be done which would allow further steps to be taken to reduce this harm.
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Affiliation(s)
- Stacey C Regis
- University of Miami/Jackson Memorial Hospital, Miami, FL, USA.
| | | | - Juan C Duque
- Katz Family Division of Nephrology and Hypertension, Leonard M. Miller School of Medicine, University of Miami, Miami, FL, USA
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Nie A, Zhang S, Cai M, Yu L, Li J, Su X. Incidence and associated factors for hypotension during continuous renal replacement therapy in critically ill patients. Int J Nurs Pract 2024:e13296. [PMID: 39075855 DOI: 10.1111/ijn.13296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/01/2024] [Accepted: 07/17/2024] [Indexed: 07/31/2024]
Abstract
AIMS This work aimed to analyse retrospective data on hypotension incidence and associated factors among patients requiring continuous renal replacement therapy. BACKGROUND The incidence and risk factors of continuous renal replacement therapy-related hypotension have not been adequately explored. DESIGN The study was designed as a retrospective analysis. METHODS Patients who required continuous renal replacement therapy in the ICU between January 2017 and June 2021 were reviewed. The multivariate logistic regression model was used to determine the associated factors of hypotension. RESULTS Hypotension occurred in 242 out of 885 circuits (27.3%) among 140 patients. The logistic regression analysis identified seven factors associated with the occurrence of hypotension during CRRT: serum albumin (OR = 0.969, 95%CI: 0.934-0.999), serum calcium (OR = 0.514, 95%CI: 0.345-0.905), CO2CP (OR = 0.933, 95%CI: 0.897-0.971), use of vasopressors (OR = 5.731, 95%CI: 4.023-8.165), hypotension before CRRT initiation (OR = 2.779, 95%CI:1.238-6.242), age (OR = 1.016, 95%CI: 1.005-1.027), and fluid removal rate (OR = 1.002, 95%CI: 1.001-1.003). CONCLUSIONS Hypotension frequently occurs in patients receiving continuous renal replacement therapy, especially in the early stages. Multiple factors can be associated with cardiac output or peripheral resistance changes, including excessive ultrafiltration, vasopressors, serum albumin and serum calcium levels, and carbon dioxide combining power.
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Affiliation(s)
- Anliu Nie
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shuzeng Zhang
- School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mingju Cai
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Limei Yu
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianfeng Li
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiangfen Su
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Tan Y, Huang J, Zhuang J, Huang H, Tian M, Liu Y, Wu M, Yu X. Fine-grained subphenotypes in acute kidney injury populations based on deep clustering: Derivation and interpretation. Int J Med Inform 2024; 191:105553. [PMID: 39068892 DOI: 10.1016/j.ijmedinf.2024.105553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/09/2024] [Accepted: 07/14/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND Acute kidney injury (AKI) is associated with increased mortality in critically ill patients. Due to differences in the etiology and pathophysiological mechanism, the current AKI criteria put it an embarrassment to evaluate clinical therapy and prognosis. OBJECTIVE We aimed to identify subphenotypes based on routinely collected clinical data to expose the unique pathophysiologic patterns. METHODS A retrospective study was conducted based on the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD), and a deep clustering approach was conducted to derive subphenotypes. We conducted further analysis to uncover the underlying clinical patterns and interpret the subphenotype derivation. RESULTS We studied 14,189 and 19,382 patients with AKI within 48 h of ICU admission in the two datasets, respectively. Through our approach, we identified seven distinct AKI subphenotypes with mortality heterogeneity in each cohort. These subphenotypes displayed significant variations in demographics, comorbidities, levels of laboratory measurements, and survival patterns. Notably, the subphenotypes could not be effectively characterized using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria alone. Therefore, we uncovered the unique underlying characteristics of each subphenotype through model-based interpretation. To assess the usability of the subphenotypes, we conducted an evaluation, which yielded a micro-Area Under the Receiver Operating Characteristic (AUROC) of 0.81 in the single-center cohort and 0.83 in the multi-center cohort within 48-hour of admission. CONCLUSION We derived highly characteristic, interpretable, and usable AKI subphenotypes that exhibited superior prognostic values.
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Affiliation(s)
- Yongsen Tan
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Jiahui Huang
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Jinhu Zhuang
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Haofan Huang
- Department of Biomedical Engineering, Hong Kong Polytechnic University, Hong Kong Special administrative regions of China
| | - Mu Tian
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Yong Liu
- Department of Intensive Care Unit, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Ming Wu
- Department of Infection and Critical Care Medicine, Shenzhen Second People's Hospital & First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen 518035, China.
| | - Xiaxia Yu
- School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China; Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
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Siqueira Santos MM, Sganzerla D, Pereira IJ, Rosa RG, Granja C, Teixeira C, Azevedo L. Long-Term Mortality and Health-Related Quality of Life After Continuous Versus Intermittent Renal Replacement Therapy in ICU Survivors: A Secondary Analysis of the Quality of Life After ICU Study. J Intensive Care Med 2024; 39:636-645. [PMID: 38196312 PMCID: PMC11151712 DOI: 10.1177/08850666231224392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Purpose: We assessed long-term outcomes in intensive care unit (ICU) survivors with acute kidney injury (AKI) submitted to intermittent or continuous renal replacement therapy (RRT) for comparisons between groups. Methods: The multicenter prospective cohort study included 195 adult ICU survivors with an ICU stay >72 h in 10 ICUs that had at least one episode of AKI treated with intermittent RRT (IRRT) or continuous RRT (CRRT) during ICU stay. The main outcomes were mortality and health-related quality of life (HRQoL). Hospital readmissions and physical dependence were also assessed. Results: Regarding RRT, 83 (42.6%) patients received IRRT and 112 (57.4%) received CRRT. Despite the similarity regarding sociodemographic characteristics, pre-ICU state of health and type of admission between groups, the risk of death (23.5% vs 42.7%; P < .001), the prevalence of sepsis (60.7%) and acute respiratory distress syndrome (17%) were higher at ICU admission among CRRT patients. The severity of critical illness was higher among CRRT patients, regarding the need for mechanical ventilation (75.0% vs 50.6%, P = .002) and vasopressors (91.1% vs 63.9%, P < .001). One year after ICU discharge, 67 of 195 ICU survivors died (34.4%) and, after adjustment for confounders, there were no significant differences in mortality when comparing IRRT and CRTT patients (34.9% vs 33.9%; P = .590), on HRQoL in both physical (41.9% vs 42.2%; P = .926) and mental dimensions (57.6% vs 56.6%; P = .340), and on the number of hospital readmissions and physical dependence. Conclusions: Our study suggests that among ICU survivors RRT modality (IRRT vs CRRT) in the ICU does not impact long-term outcomes after ICU discharge.
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Affiliation(s)
- Mariana Martins Siqueira Santos
- MEDCIDS – Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- CINTESIS@RISE – Centre for Health Technology and Services Research & Associate Laboratory – Health Research Network, University of Porto, Porto, Portugal
| | | | - Isabel Jesus Pereira
- MEDCIDS – Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- Polyvalent Intensive Care Medicine Service, Centro Hospitalar de Gaia/Espinho, Vila Nova de Gaia, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
- CriticalMed – Critical Care & Emergency Medicine, CINTESIS – Center for Health Technology and Services Research, University of Porto, Porto, Portugal
| | - Regis Goulart Rosa
- Research Projects Office, Hospital Moinhos de Vento, Porto Alegre, Brazil
- Brazilian Research in Intensive Care Network (BRICNet), São Paulo, Brazil
- Research Unit, INOVA Medical, Porto Alegre, Brazil
| | - Cristina Granja
- Faculty of Medicine, University of Porto, Porto, Portugal
- CriticalMed – Critical Care & Emergency Medicine, CINTESIS – Center for Health Technology and Services Research, University of Porto, Porto, Portugal
- Intensive Care Department, Centro Hospitalar Universitário de São João, Porto, Portugal
- Anaesthesiology Department, Centro Hospitalar Universitário São João, Porto, Portugal
- Department of Surgery and Physiology, Faculdade de Medicina, University of Porto, Porto, Portugal
| | - Cassiano Teixeira
- Brazilian Research in Intensive Care Network (BRICNet), São Paulo, Brazil
- Intensive Care Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduation Program in Rehabilitation Sciences, Universidade Federalde Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Luís Azevedo
- MEDCIDS – Medicina da Comunidade, Informação e Decisão em Saúde, Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal
- CINTESIS@RISE – Centre for Health Technology and Services Research & Associate Laboratory – Health Research Network, University of Porto, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
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Bandert A, Lipcsey M, Frithiof R, Larsson A, Smekal D. Different distances between central venous catheter tips can affect antibiotic clearance during continuous renal replacement therapy. Intensive Care Med Exp 2024; 12:56. [PMID: 38913212 PMCID: PMC11196527 DOI: 10.1186/s40635-024-00635-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/18/2024] [Indexed: 06/25/2024] Open
Abstract
BACKGROUND The aim of this experimental study was to elucidate whether different distances between central venous catheter tips can affect drug clearance during continuous renal replacement therapy (CRRT). Central venous catheters (CVCs) are widely used in intensive care patients for drug infusion. If a patient receives CRRT, a second central dialysis catheter (CDC) is required. Where to insert CVCs is directed by guidelines, but recommendations regarding how to place multiple catheters are scarce. There are indications that a drug infused in a CVC with the tip close to the tip of the CDC, could be directly aspirated into the dialysis machine, with a risk of increased clearance. However, studies on whether clearance is affected by different CVC and CDC tip positions, when the two catheters are in the same vessel, are few. METHODS In this model with 18 piglets, gentamicin (GM) and vancomycin (VM) were infused through a CVC during CRRT. The CVC tip was placed in different positions in relation to the CDC tip from caudal, i.e., proximal to the heart, to cranial, i.e., distal to the heart. Serum and dialysate concentrations were sampled after approximately 30 min of CRRT at four different positions: when the CVC tip was 2 cm caudally (+ 2), at the same level (0), and at 2 (- 2) and 4 (- 4) cm cranially of the tip of the CDC. Clearance was calculated. A mixed linear model was performed, and level of significance was set to p < 0.05. RESULTS Clearance of GM had median values at + 2 cm, 0 cm, - 2 cm and - 4 cm of 17.3 (5.2), 18.6 (7.4), 20.0 (16.2) and 26.2 (12.2) ml/min, respectively (p = 0.04). Clearance of VM had median values at + 2 cm, 0 cm, - 2 cm and - 4 cm of 16.2 (4.5), 14.7 (4.9), 19.0 (10.2) and 21.2 (11.4) ml/min, respectively (p = 0.02). CONCLUSIONS The distance between CVC and CDC tips can affect drug clearance during CRRT. A cranial versus a caudal tip position of the CVC in relation to the tip of the CDC led to the highest clearance.
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Affiliation(s)
- Anna Bandert
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
- Centre for Research and Development, Uppsala University,Region Gävleborg, Gävle, Sweden.
- Department of Anaesthesiology and Intensive Care, Gävle Hospital, Lasarettvägen 1, 80324, Gävle, Sweden.
| | - Miklós Lipcsey
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
- Department of Surgical Sciences, Hedenstierna Laboratory, Uppsala University, Uppsala, Sweden
| | - Robert Frithiof
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - David Smekal
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
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Yagi K, Fujii T, Kageyama A, Takagi T, Ikeda J, Uezono S. The Effects of Early-Phase, Low- or Standard-Intensity Continuous Renal Replacement Therapy on Acid-Base Control and Clinical Outcomes: An Observational Study. Blood Purif 2024:1-9. [PMID: 38880082 DOI: 10.1159/000539810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION The Kidney Disease Improving Global Outcomes (KDIGO) clinical practice guideline recommends administering an effluent volume of 20-25 mL/kg/h during continuous renal replacement therapy (CRRT) for acute kidney injury. Recent evidence on CRRT initiation showed that less intervention might be beneficial for renal recovery. This study aimed to explore the association between early-phase low CRRT intensity and acid-base balance corrections and clinical outcomes. METHODS This was a single-centre, retrospective, observational study at a tertiary intensive care unit (ICU) in Japan. All adult patients requiring CRRT in the ICU were included. Eligible patients were classified into the Low group (dialysate flow rate [QD] 10.0-19.9 mL/kg/h) and the Standard group (QD ≥20 mL/kg/h) by the intensity of CRRT at the beginning. The primary outcomes were acid-base parameters 6 h after CRRT initiation. We used an inverse probability of treatment weighting analysis to estimate the association between the intensity group and the outcomes. RESULTS Overall, 194 patients were classified into the Low group (n = 144) and the Standard group (n = 50). The Standard group presented with more severe acid-base disturbances, including lower pH and base excess (BE) at baseline. At 6 h after CRRT initiation, pH, BE, and strong ion difference values were comparable, even after adjusting for baseline severity. Despite the efficient correction, no evident differences were observed in clinical outcomes between the two groups. CONCLUSIONS The initial standard intensity appeared to be efficient in correcting acid-base imbalance at the early phase of CRRT; however, further studies are needed to assess the impact on clinical outcomes.
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Affiliation(s)
- Kosuke Yagi
- Intensive Care Unit, The Jikei University Hospital, Tokyo, Japan
| | - Tomoko Fujii
- Intensive Care Unit, The Jikei University Hospital, Tokyo, Japan
| | - Akira Kageyama
- Department of Pharmacy, The Jikei University Hospital, Tokyo, Japan
| | | | - Junpei Ikeda
- Department of Clinical Engineering Technology, The Jikei University Hospital, Tokyo, Japan
| | - Shoichi Uezono
- Department of Anaesthesiology, The Jikei University Hospital, Tokyo, Japan
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Wang TH, Kao CC, Chang TH. Ensemble Machine Learning for Predicting 90-Day Outcomes and Analyzing Risk Factors in Acute Kidney Injury Requiring Dialysis. J Multidiscip Healthc 2024; 17:1589-1602. [PMID: 38628614 PMCID: PMC11020304 DOI: 10.2147/jmdh.s448004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/24/2024] [Indexed: 04/19/2024] Open
Abstract
Purpose Our objectives were to (1) employ ensemble machine learning algorithms utilizing real-world clinical data to predict 90-day prognosis, including dialysis dependence and mortality, following the first hospitalized dialysis and (2) identify the significant factors associated with overall outcomes. Patients and Methods We identified hospitalized patients with Acute kidney injury requiring dialysis (AKI-D) from a dataset of the Taipei Medical University Clinical Research Database (TMUCRD) from January 2008 to December 2020. The extracted data comprise demographics, comorbidities, medications, and laboratory parameters. Ensemble machine learning models were developed utilizing real-world clinical data through the Google Cloud Platform. Results The Study Analyzed 1080 Patients in the Dialysis-Dependent Module, Out of Which 616 Received Regular Dialysis After 90 Days. Our Ensemble Model, Consisting of 25 Feedforward Neural Network Models, Demonstrated the Best Performance with an Auroc of 0.846. We Identified the Baseline Creatinine Value, Assessed at Least 90 Days Before the Initial Dialysis, as the Most Crucial Factor. We selected 2358 patients, 984 of whom were deceased after 90 days, for the survival module. The ensemble model, comprising 15 feedforward neural network models and 10 gradient-boosted decision tree models, achieved superior performance with an AUROC of 0.865. The pre-dialysis creatinine value, tested within 90 days prior to the initial dialysis, was identified as the most significant factor. Conclusion Ensemble machine learning models outperform logistic regression models in predicting outcomes of AKI-D, compared to existing literature. Our study, which includes a large sample size from three different hospitals, supports the significance of the creatinine value tested before the first hospitalized dialysis in determining overall prognosis. Healthcare providers could benefit from utilizing our validated prediction model to improve clinical decision-making and enhance patient care for the high-risk population.
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Affiliation(s)
- Tzu-Hao Wang
- Division of General Medicine, Department of Medical Education, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan, Republic of China
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, Republic of China
| | - Chih-Chin Kao
- Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, Republic of China
- Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan, Republic of China
- Taipei Medical University-Research Center of Urology and Kidney (TMU-RCUK), Taipei Medical University, Taipei, Taiwan, Republic of China
| | - Tzu-Hao Chang
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, Republic of China
- Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei City, Taiwan, Republic of China
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Berglund F, Eilertz E, Nimmersjö F, Wolf A, Nordlander C, Palm F, Parenmark F, Westerbergh J, Liss P, Frithiof R. Acute and long-term renal effects after iodine contrast media-enhanced computerised tomography in the critically ill-a retrospective bi-centre cohort study. Eur Radiol 2024; 34:1736-1745. [PMID: 37658144 PMCID: PMC10873227 DOI: 10.1007/s00330-023-10059-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/21/2023] [Accepted: 06/25/2023] [Indexed: 09/03/2023]
Abstract
OBJECTIVES To determine if current clinical use of iodine contrast media (ICM) for computerised tomography (CT) increases the risk of acute kidney injury (AKI) and long-term decline in renal function in patients treated in intensive care. METHODS A retrospective bi-centre cohort study was performed with critically ill subjects undergoing either ICM-enhanced or unenhanced CT. AKI was defined and staged based on the Kidney Disease Improve Global Outcome AKI criteria, using both creatinine and urine output criteria. Follow-up plasma creatinine was recorded three to six months after CT to assess any long-term effects of ICM on renal function. RESULTS In total, 611 patients were included in the final analysis, median age was 65.0 years (48.0-73.0, quartile 1-quartile 3 (IQR)) and 62.5% were male. Renal replacement therapy was used post-CT in 12.9% and 180-day mortality was 31.2%. Plasma creatinine level on day of CT was 100.0 µmol/L (66.0-166.5, IQR) for non-ICM group and 77.0 µmol/L (59.0-109.0, IQR) for the ICM group. The adjusted odds ratio for developing AKI if the patient received ICM was 1.03 (95% confidence interval 0.64-1.66, p = 0.90). No significant association between ICM and increase in plasma creatinine at long-term follow-up was found, with an adjusted effect size of 2.92 (95% confidence interval - 6.52-12.36, p = 0.543). CONCLUSIONS The results of this study do not indicate an increased risk of AKI or long-term decline in renal function when ICM is used for enhanced CT in patients treated at intensive care units. CLINICAL RELEVANCE STATEMENT Patients treated in intensive care units had no increased risk of acute kidney injury or persistent decline in renal function after contrast-enhanced CT. This information underlines the need for a proper risk-reward assessment before denying patients a contrast-enhanced CT. KEY POINTS • Iodine contrast media is considered a risk factor for the development of acute kidney injury. • Patients receiving iodine contrast media did not have an increased incidence of acute kidney injury or persistent decline in renal function. • A more clearly defined risk of iodine contrast media helps guide clinical decisions whether to perform contrast-enhanced CTs or not.
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Affiliation(s)
- Felix Berglund
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
| | - Ebba Eilertz
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Fredrik Nimmersjö
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Adam Wolf
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Fredrik Palm
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Fredric Parenmark
- Centre for Research and Development, Uppsala University, Uppsala, Sweden
| | - Johan Westerbergh
- Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Per Liss
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
| | - Robert Frithiof
- Department of Surgical Sciences, Anesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
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11
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Komaru Y, Bai YZ, Kreisel D, Herrlich A. Interorgan communication networks in the kidney-lung axis. Nat Rev Nephrol 2024; 20:120-136. [PMID: 37667081 DOI: 10.1038/s41581-023-00760-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/08/2023] [Indexed: 09/06/2023]
Abstract
The homeostasis and health of an organism depend on the coordinated interaction of specialized organs, which is regulated by interorgan communication networks of circulating soluble molecules and neuronal connections. Many diseases that seemingly affect one primary organ are really multiorgan diseases, with substantial secondary remote organ complications that underlie a large part of their morbidity and mortality. Acute kidney injury (AKI) frequently occurs in critically ill patients with multiorgan failure and is associated with high mortality, particularly when it occurs together with respiratory failure. Inflammatory lung lesions in patients with kidney failure that could be distinguished from pulmonary oedema due to volume overload were first reported in the 1930s, but have been largely overlooked in clinical settings. A series of studies over the past two decades have elucidated acute and chronic kidney-lung and lung-kidney interorgan communication networks involving various circulating inflammatory cytokines and chemokines, metabolites, uraemic toxins, immune cells and neuro-immune pathways. Further investigations are warranted to understand these clinical entities of high morbidity and mortality, and to develop effective treatments.
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Affiliation(s)
- Yohei Komaru
- Department of Medicine, Division of Nephrology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Yun Zhu Bai
- Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Daniel Kreisel
- Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Department of Pathology & Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Andreas Herrlich
- Department of Medicine, Division of Nephrology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
- VA Saint Louis Health Care System, John Cochran Division, St. Louis, MO, USA.
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12
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Gutowski M, Klimkiewicz J, Rustecki B, Michałowski A, Paryż K, Lubas A. Effect of Respiratory Failure on Peripheral and Organ Perfusion Markers in Severe COVID-19: A Prospective Cohort Study. J Clin Med 2024; 13:469. [PMID: 38256603 PMCID: PMC10816331 DOI: 10.3390/jcm13020469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 01/24/2024] Open
Abstract
Microvascular dysfunction and inflammation caused by COVID-19 disrupt organ function. The study aimed to investigate the association between the severity of SARS-CoV-2 pneumonia and peripheral and organ perfusion as a consequence of altered microcirculation. A total of 116 patients hospitalized due to severe COVID-19 were enrolled in the study. On admission, the patients underwent a Capillary Refill Time (CRT) examination, finger oxygen saturation measurement, thermal imaging of the hand (FIT), and a kidney Doppler ultrasound. Medical data were collected from the medical history. From the evaluated perfusion parameters, only renal cortex perfusion (RCP) was substantially correlated with the CT score (p < 0.010). The peripheral perfusion parameters of Sat., FIT, CRT, and RCP correlated with the ARDS stages (p = 0.0021; p = 0.038; p < 0.0006; p < 0.0002, respectively). The Oxygenation Ratio value (p < 0.001) was significantly associated with all the perfusion parameters (saturation, CRT, FIT, and RCP) in the multivariable regression analysis model. According to the stepwise retrograde regression analysis, RCP was an independent parameter linked with the Oxygenation Ratio (p < 0.001). Severe COVID-19 can result in microvascular dysfunction influencing peripheral and organ perfusion, which can be measured with various methods. The staging of COVID-19 assessed by CT and the Oxygenation Ratio correlates with RCP, CRT, FIT, and oxygen saturation.
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Affiliation(s)
- Mateusz Gutowski
- Department of Anesthesiology and Intensive Care, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland; (J.K.); (B.R.); (A.M.); (K.P.)
| | - Jakub Klimkiewicz
- Department of Anesthesiology and Intensive Care, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland; (J.K.); (B.R.); (A.M.); (K.P.)
| | - Bartosz Rustecki
- Department of Anesthesiology and Intensive Care, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland; (J.K.); (B.R.); (A.M.); (K.P.)
| | - Andrzej Michałowski
- Department of Anesthesiology and Intensive Care, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland; (J.K.); (B.R.); (A.M.); (K.P.)
| | - Kamil Paryż
- Department of Anesthesiology and Intensive Care, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland; (J.K.); (B.R.); (A.M.); (K.P.)
| | - Arkadiusz Lubas
- Department of Internal Diseases, Nephrology and Dialysis, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland;
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13
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Dumas G, Arabi YM, Bartz R, Ranzani O, Scheibe F, Darmon M, Helms J. Diagnosis and management of autoimmune diseases in the ICU. Intensive Care Med 2024; 50:17-35. [PMID: 38112769 DOI: 10.1007/s00134-023-07266-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/01/2023] [Indexed: 12/21/2023]
Abstract
Autoimmune diseases encompass a broad spectrum of disorders characterized by disturbed immunoregulation leading to the development of specific autoantibodies, resulting in inflammation and multiple organ involvement. A distinction should be made between connective tissue diseases (mainly systemic lupus erythematosus, systemic scleroderma, inflammatory muscle diseases, and rheumatoid arthritis) and vasculitides (mainly small-vessel vasculitis such as antineutrophil cytoplasmic antibody-associated vasculitis and immune-complex mediated vasculitis). Admission of patients with autoimmune diseases to the intensive care unit (ICU) is often triggered by disease flare-ups, infections, and organ failure and is associated with high mortality rates. Management of these patients is complex, including prompt disease identification, immunosuppressive treatment initiation, and life-sustaining therapies, and requires multi-disciplinary involvement. Data about autoimmune diseases in the ICU are limited and there is a need for multicenter, international collaboration to improve patients' diagnosis, management, and outcomes. The objective of this narrative review is to summarize the epidemiology, clinical features, and selected management of severe systemic autoimmune diseases.
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Affiliation(s)
- Guillaume Dumas
- Medical Intensive Care Unit, Service de Médecine Intensive-Réanimation, CHU Grenoble-Alpes, Université Grenoble-Alpes, INSERM, U1042-HP2, Grenoble, France.
| | - Yaseen M Arabi
- Intensive Care Department, Ministry of the National Guard-Health Affairs, Riyadh, Kingdom of Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences Riyadh, Riyadh, Kingdom of Saudi Arabia
| | - Raquel Bartz
- Department of Anesthesia, Perioperative, and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Otavio Ranzani
- Barcelona Institute for Global Health, ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Pulmonary Division, Faculdade de Medicina, Heart Institute, InCor, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Franziska Scheibe
- Department of Neurology and Experimental Neurology, Charité- Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Michaël Darmon
- Medical Intensive Care Unit, APHP, Hôpital Saint-Louis, Famirea Study Group, ECSTRA Team, and Clinical EpidemiologyUMR 1153, Center of Epidemiology and Biostatistics, Sorbonne Paris Cité, CRESS, INSERM, Université Paris Cité, Paris, France
| | - Julie Helms
- Faculté de Médecine, Service de Médecine Intensive-Réanimation, Université de Strasbourg (UNISTRA), Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, 1 Place de L'Hôpital, Strasbourg, France
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14
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Gao Z, Li R, Li Q, Han Y, Huo Y, Zhang Q, Hu Z, Liu L. Central venous pressure combined with renal venous impedance index in predicting the acute kidney injury after thoracic and abdominal (non-cardiac) surgery. Asian J Surg 2024; 47:477-485. [PMID: 37438153 DOI: 10.1016/j.asjsur.2023.06.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/12/2023] [Accepted: 06/22/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND In the 21st century, 13% of patients undergoing open abdominal surgery, 25% of patients undergoing heart surgery, and 57% of patients admitted to the intensive care unit (ICU) are affected by acute kidney injury (AKI). METHODS This prospective observational study included patients admitted directly to the ICU between June 2021 and December 2021. RESULTS A total of 81 patients were enrolled after thoracic and abdominal (non-cardiac) surgery; 36 patients (44.4%) were diagnosed with AKI occurred within 7 days after surgery. Six-hour postoperative central venous pressure(CVP) was a risk factor for AKI in thoracic and abdominal (non-cardiac) postoperative patients (odds ratio [OR], 1.418; 95% confidence intervals [CI], 1.106-1.819; P = 0.006). Six-hour postoperative vein impedance index(VII) and CVP were significantly positively correlated (P = 0.031). The combination of 6-h postoperative VII with CVP (VII ≥0.34, CVP ≥7.5 mmHg) showed an area under the curve (AUC) of 0.787, In the subgroup analysis of patients with 6-h postoperative CVP <7.5 mmHg, there was a significant statistical difference in 6-h postoperative VII between the groups and those without AKI (P = 0.048). At 6-h postoperative CVP <7.5 mmHg, VII of ≥0.44 had a predictive value for AKI after thoracic and abdominal (non-cardiac) surgery, with an AUC of 0.669, a sensitivity of 41.2%, and a specificity of 94.4%. CONCLUSION Six-hour postoperative CVP combined with VII can better predict the occurrence of AKI occurred within 7 days after thoracic and abdominal (non-cardiac) surgery but cannot predict the severity of AKI.
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Affiliation(s)
- Zetong Gao
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Rong Li
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Qiqi Li
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Yaqi Han
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Yan Huo
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Qian Zhang
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Zhenjie Hu
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China
| | - Lixia Liu
- Chinese Critical Ultrasound Study Group(CCUSG), Department of Critical Care, The Fourth Hospital of Hebei Medical University, China.
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15
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Rossiter A, La A, Koyner JL, Forni LG. New biomarkers in acute kidney injury. Crit Rev Clin Lab Sci 2024; 61:23-44. [PMID: 37668397 DOI: 10.1080/10408363.2023.2242481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 05/14/2023] [Accepted: 07/26/2023] [Indexed: 09/06/2023]
Abstract
Acute kidney injury (AKI) is a commonly encountered clinical syndrome. Although it often complicates community acquired illness, it is more common in hospitalized patients, particularly those who are critically ill or who have undergone major surgery. Approximately 20% of hospitalized adult patients develop an AKI during their hospital care, and this rises to nearly 60% in the critically ill, depending on the population being considered. In general, AKI is more common in older adults, in those with preexisting chronic kidney disease and in those with known risk factors for AKI (including diabetes and hypertension). The development of AKI is associated with an increase in both mortality and morbidity, including the development of post-AKI chronic kidney disease. Currently, AKI is defined by a rise in serum creatinine from either a known or derived baseline value and/or oliguria or anuria. However, clinicians may fail to recognize the initial development of AKI because of a delay in the rise of serum creatinine or because of inaccurate urine output monitoring. This, in turn, delays any putative measures to treat AKI or to limit its degree. Consequently, efforts have focused on new biomarkers associated with AKI that may allow early recognition of this syndrome with the intent that this will translate into improved patient outcomes. Here we outline current biomarkers associated with AKI and explore their potential in aiding diagnosis, understanding the pathophysiology and directing therapy.
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Affiliation(s)
- Adam Rossiter
- Critical Care Unit, Royal Surrey Hospital, Guildford, Surry, UK
| | - Ashley La
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Jay L Koyner
- Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Lui G Forni
- Critical Care Unit, Royal Surrey Hospital, Guildford, Surry, UK
- School of Medicine, Department of Clinical & Experimental Medicine, Faculty of Health Sciences, University of Surrey, Surry, UK
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16
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Persson I, Grünwald A, Morvan L, Becedas D, Arlbrandt M. A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study. JMIR Form Res 2023; 7:e45979. [PMID: 38096015 PMCID: PMC10755657 DOI: 10.2196/45979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 10/08/2023] [Accepted: 10/26/2023] [Indexed: 12/31/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) represents a significant global health challenge, leading to increased patient distress and financial health care burdens. The development of AKI in intensive care unit (ICU) settings is linked to prolonged ICU stays, a heightened risk of long-term renal dysfunction, and elevated short- and long-term mortality rates. The current diagnostic approach for AKI is based on late indicators, such as elevated serum creatinine and decreased urine output, which can only detect AKI after renal injury has transpired. There are no treatments to reverse or restore renal function once AKI has developed, other than supportive care. Early prediction of AKI enables proactive management and may improve patient outcomes. OBJECTIVE The primary aim was to develop a machine learning algorithm, NAVOY Acute Kidney Injury, capable of predicting the onset of AKI in ICU patients using data routinely collected in ICU electronic health records. The ultimate goal was to create a clinical decision support tool that empowers ICU clinicians to proactively manage AKI and, consequently, enhance patient outcomes. METHODS We developed the NAVOY Acute Kidney Injury algorithm using a hybrid ensemble model, which combines the strengths of both a Random Forest (Leo Breiman and Adele Cutler) and an XGBoost model (Tianqi Chen). To ensure the accuracy of predictions, the algorithm used 22 clinical variables for hourly predictions of AKI as defined by the Kidney Disease: Improving Global Outcomes guidelines. Data for algorithm development were sourced from the Massachusetts Institute of Technology Lab for Computational Physiology Medical Information Mart for Intensive Care IV clinical database, focusing on ICU patients aged 18 years or older. RESULTS The developed algorithm, NAVOY Acute Kidney Injury, uses 4 hours of input and can, with high accuracy, predict patients with a high risk of developing AKI 12 hours before onset. The prediction performance compares well with previously published prediction algorithms designed to predict AKI onset in accordance with Kidney Disease: Improving Global Outcomes diagnosis criteria, with an impressive area under the receiver operating characteristics curve (AUROC) of 0.91 and an area under the precision-recall curve (AUPRC) of 0.75. The algorithm's predictive performance was externally validated on an independent hold-out test data set, confirming its ability to predict AKI with exceptional accuracy. CONCLUSIONS NAVOY Acute Kidney Injury is an important development in the field of critical care medicine. It offers the ability to predict the onset of AKI with high accuracy using only 4 hours of data routinely collected in ICU electronic health records. This early detection capability has the potential to strengthen patient monitoring and management, ultimately leading to improved patient outcomes. Furthermore, NAVOY Acute Kidney Injury has been granted Conformite Europeenne (CE)-marking, marking a significant milestone as the first CE-marked AKI prediction algorithm for commercial use in European ICUs.
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Affiliation(s)
- Inger Persson
- Department of Statistics, Uppsala University, Uppsala, Sweden
- AlgoDx AB, Stockholm, Sweden
| | | | | | | | - Martin Arlbrandt
- Department of Anaesthesiology and Intensive Care, Södersjukhuset (Stockholm South General Hospital), Stockholm, Sweden
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17
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Andonovic M, Curle J, Traynor JP, Shaw M, Sim MA, Mark PB, Puxty KA. Impact of acute kidney injury on major adverse cardiovascular events in intensive care survivors. BJA OPEN 2023; 8:100243. [PMID: 38143792 PMCID: PMC10746363 DOI: 10.1016/j.bjao.2023.100243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 11/08/2023] [Indexed: 12/26/2023]
Abstract
Background Acute kidney injury commonly occurs in patients admitted to ICU. After acute kidney injury, kidney function may not completely recover leading to increased risk of future cardiovascular events. We sought to ascertain the rates of cardiovascular events in ICU survivors and if these rates were affected by the presence of acute kidney injury whilst in ICU. Methods This retrospective observational cohort study utilised routinely collected data to identify patients who had survived an admission to one of two ICUs between July 2015 and June 2018. Baseline serum creatinine and subsequent values were used to identify acute kidney injury. Major adverse cardiovascular events described were myocardial injury, coronary artery intervention, or radiological evidence of stroke. Results Of the 3994 ICU survivors, major adverse cardiovascular events were identified in 385 patients (9.6%; 95% confidence interval [CI] 8.8-10.6%). Presence of acute kidney injury whilst in ICU was significantly associated with future major adverse cardiovascular events (hazard ratio=1.38; 95% CI 1.12-1.70; P-value=0.003) and future biochemical myocardial injury (hazard ratio=1.48; 95% CI 1.16-1.89; P-value=0.001). Acute kidney injury did not have a statistically significant association with future coronary artery interventions or future cerebrovascular events. Conclusions One in 10 ICU survivors experiences a major adverse cardiovascular event after discharge. Acute kidney injury whilst in ICU was associated with an increased risk of major adverse cardiovascular events and specifically myocardial injury. Further research is warranted on whether ICU survivors with acute kidney injury merit enhanced strategies for cardiovascular protection.
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Affiliation(s)
- Mark Andonovic
- Academic Unit of Anaesthesia, Critical Care and Perioperative Medicine, University of Glasgow, Glasgow, UK
| | - Jennifer Curle
- Department of Radiology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Jamie P. Traynor
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK
| | - Martin Shaw
- Academic Unit of Anaesthesia, Critical Care and Perioperative Medicine, University of Glasgow, Glasgow, UK
| | - Malcolm A.B. Sim
- Academic Unit of Anaesthesia, Critical Care and Perioperative Medicine, University of Glasgow, Glasgow, UK
- Department of Intensive Care, Queen Elizabeth University Hospital, Glasgow, UK
| | - Patrick B. Mark
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Kathryn A. Puxty
- Academic Unit of Anaesthesia, Critical Care and Perioperative Medicine, University of Glasgow, Glasgow, UK
- Department of Intensive Care Medicine, Glasgow Royal Infirmary, Glasgow, UK
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18
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Mayerhöfer T, Perschinka F, Klein SJ, Peer A, Lehner GF, Bellmann R, Gasteiger L, Mittermayr M, Breitkopf R, Eschertzhuber S, Mathis S, Fiala A, Fries D, Ströhle M, Foidl E, Hasibeder W, Helbok R, Kirchmair L, Stögermüller B, Krismer C, Heiner T, Ladner E, Thomé C, Preuß-Hernandez C, Mayr A, Potocnik M, Reitter B, Brunner J, Zagitzer-Hofer S, Ribitsch A, Joannidis M. Incidence, risk factors and outcome of acute kidney injury in critically ill COVID-19 patients in Tyrol, Austria: a prospective multicenter registry study. J Nephrol 2023; 36:2531-2540. [PMID: 37837501 PMCID: PMC10703973 DOI: 10.1007/s40620-023-01760-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/06/2023] [Indexed: 10/16/2023]
Abstract
INTRODUCTION Acute kidney injury is a frequent complication in critically ill patients with and without COVID-19. The aim of this study was to evaluate the incidence of, and risk factors for, acute kidney injury and its effect on clinical outcomes of critically ill COVID-19 patients in Tyrol, Austria. METHODS This multicenter prospective registry study included adult patients with a SARS-CoV-2 infection confirmed by polymerase chain reaction, who were treated in one of the 12 dedicated intensive care units during the COVID-19 pandemic from February 2020 until May 2022. RESULTS In total, 1042 patients were included during the study period. The median age of the overall cohort was 66 years. Of the included patients, 267 (26%) developed acute kidney injury during their intensive care unit stay. In total, 12.3% (n = 126) required renal replacement therapy with a median duration of 9 (IQR 3-18) days. In patients with acute kidney injury the rate of invasive mechanical ventilation was significantly higher with 85% (n = 227) compared to 41% (n = 312) in the no acute kidney injury group (p < 0.001). The most important risk factors for acute kidney injury were invasive mechanical ventilation (OR = 4.19, p < 0.001), vasopressor use (OR = 3.17, p < 0.001) and chronic kidney disease (OR = 2.30, p < 0.001) in a multivariable logistic regression analysis. Hospital and intensive care unit mortality were significantly higher in patients with acute kidney injury compared to patients without acute kidney injury (Hospital mortality: 52.1% vs. 17.2%, p < 0.001, ICU-mortality: 47.2% vs. 14.7%, p < 0.001). CONCLUSION As in non-COVID-19 patients, acute kidney injury is clearly associated with increased mortality in critically ill COVID-19 patients. Among known risk factors, invasive mechanical ventilation has been identified as an independent and strong predictor of acute kidney injury.
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Affiliation(s)
- Timo Mayerhöfer
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Fabian Perschinka
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Sebastian J Klein
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
- Internal Medicine II, Gastroenterology, Hepatology and Rheumatology, Karl Landsteiner University of Health Sciences, University Hospital St. Pölten, St. Pölten, Austria
| | - Andreas Peer
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Georg F Lehner
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Romuald Bellmann
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Lukas Gasteiger
- Department of Anesthesia and Critical Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Markus Mittermayr
- Department of Anesthesia and Critical Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Robert Breitkopf
- Department of Anesthesia and Critical Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | | | - Simon Mathis
- Department of General and Surgical Intensive Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Anna Fiala
- Department of General and Surgical Intensive Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Dietmar Fries
- Department of General and Surgical Intensive Care Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Mathias Ströhle
- Department of Anesthesia and Intensive Care Medicine, Hospital Kufstein, Kufstein, Austria
| | - Eva Foidl
- Department of Anesthesia and Intensive Care Medicine, Hospital Kufstein, Kufstein, Austria
| | - Walter Hasibeder
- Department of Anesthesiology and Critical Care Medicine, Hospital St. Vinzenz Zams, Zams, Austria
| | - Raimund Helbok
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Neurology, Johannes Kepler University Linz, Linz, Austria
| | - Lukas Kirchmair
- Department of Anesthesia and Critical Care Medicine, Hospital Schwaz, Schwaz, Austria
| | - Birgit Stögermüller
- Department of Anesthesia and Critical Care Medicine, Hospital Schwaz, Schwaz, Austria
| | - Christoph Krismer
- Department of Internal Medicine, Hospital St. Vinzenz Zams, Zams, Austria
| | - Tatjana Heiner
- Department of Anesthesia and Intensive Care Medicine, Hospital Reutte, Reutte, Austria
| | - Eugen Ladner
- Department of Anesthesia and Intensive Care Medicine, Hospital Reutte, Reutte, Austria
| | - Claudius Thomé
- Department of Neurosurgery, Medical University Innsbruck, Innsbruck, Austria
| | | | - Andreas Mayr
- Department of Anesthesia and Intensive Care Medicine, Hospital Lienz, Lienz, Austria
| | - Miriam Potocnik
- Department of Anesthesia and Intensive Care Medicine, Hospital St. Johann in Tyrol, St. Johann in Tyrol, Austria
| | - Bruno Reitter
- Department of Anesthesia and Intensive Care Medicine, Hospital St. Johann in Tyrol, St. Johann in Tyrol, Austria
| | - Jürgen Brunner
- Department of Pediatrics, Medical University Innsbruck, Innsbruck, Austria
- Faculty of Medicine and Dentistry, Danube Private University, Krems, Austria
| | | | | | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
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19
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Rubatto Birri PN, Giannoni R, Furche M, Nahra M, Arce Gallardo M, Segui G, Ilutovich S, Olmos M, Birri P, Romano M, Ayala P, Petrochelli V, Huespe L, Banegas D, Gomez A, Zakalik G, Lipovestky F, Montefiore JP, Galletti C, Pendino C, Vera M, Mare S, Bergallo L, Fernandez G, Campassi ML, Ríos F, Saul P, Bonsignore P, Gallardo B, Gimenez M, Estenssoro E. Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study). J Crit Care 2023; 78:154382. [PMID: 37516091 DOI: 10.1016/j.jcrc.2023.154382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND Acute kidney injury (AKI) is associated with high morbidity and mortality rates in the intensive care unit (ICU). In low- and middle-income countries (LMICs), epidemiological information about this condition is still scarce. Our main objective was to characterize its epidemiology, prognosis, and its treatment. METHODS This multicenter prospective cohort study included 1466 patients from 35 ICUs during 6 months in Argentina in 2018. Risk factors and outcomes in patients with and without AKI, and between AKI on admission (AKIadm) and that developed during hospitalization (AKIhosp) were analyzed. RESULTS AKI occurred in 61.3% of patients (900/1466); 72.6% were AKIadm and 27.3% AKIhosp. Risk factors were age, BMI, arterial hypertension, cardiovascular diseases, diabetes, SOFA, APACHE II, dehydration, sepsis, vasopressor use, radiocontrast, diuresis/h and mechanical ventilation. Independent predictors for AKI were sepsis, diabetes, dehydration, vasopressors on admission, APACHE II and radiocontrast use. Renal replacement therapies (RRT) requirement in AKI patients was 14.8%. Hospital mortality in AKI vs. non-AKI was 38.7% and 23.3% (p < 0.001); and in AKIadm vs. AKIhosp, 41.2% and 37.8% (p = 0.53). CONCLUSIONS ICU-acquired AKI has high incidence, complications and mortality. Risk factors for AKI and RRT utilization were similar to those described in other epidemiological studies. AKIadm was more frequent than AKIhosp, but had equal prognosis.
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Affiliation(s)
| | - Roberto Giannoni
- Hospital Regional Ramon Carrillo, Santiago del Estero, Santiago del Estero, Argentina; Centro Integral de Salud, La Banda, Santiago del Estero, Argentina.
| | - Mariano Furche
- Sanatorio De los Arcos, Ciudad Autónoma de Buenos Aires, Argentina.
| | - M Nahra
- Hospital Español, Ciudad Autónoma de Buenos Aires, Argentina
| | - M Arce Gallardo
- Hospital Regional Ramon Carrillo, Santiago del Estero, Santiago del Estero, Argentina
| | - Gabriela Segui
- Hospital Dr. Luis Güemes, Haedo, Buenos Aires, Argentina
| | | | - Matias Olmos
- Hospital Universitario Fundación Favaloro, Ciudad Autónoma de Buenos Aires, Argentina
| | | | | | | | | | - Luis Huespe
- Hospital Escuela General San Martin, Corrientes, Argentina
| | - David Banegas
- Sanatorio Otamendi, Ciudad Autónoma de Buenos Aires, Argentina
| | - Alejandro Gomez
- Sanatorio De los Arcos, Ciudad Autónoma de Buenos Aires, Argentina
| | | | | | | | | | | | | | | | | | | | | | | | - Pablo Saul
- Policlínico UOM, Ciudad Autónoma Buenos Aires, Argentina
| | | | | | - Mirta Gimenez
- Hospital Centenario, Gualeguaychú, Entre Ríos, Argentina
| | - Elisa Estenssoro
- Escuela de Gobierno en Salud, Ministerio de Salud de la Provincia de Buenos Aires, Buenos Aires, Argentina.
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20
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Porschen C, Strauss C, Meersch M, Zarbock A. Personalized acute kidney injury treatment. Curr Opin Crit Care 2023; 29:551-558. [PMID: 37861191 DOI: 10.1097/mcc.0000000000001089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
PURPOSE OF REVIEW Acute kidney injury (AKI) is a complex syndrome that might be induced by different causes and is associated with an increased morbidity and mortality. Therefore, it is a very heterogeneous syndrome and establishing a "one size fits all" treatment approach might not work. This review aims to examine the potential of personalized treatment strategies for AKI. RECENT FINDINGS The traditional diagnosis of AKI is based on changes of serum creatinine and urine output, but these two functional biomarkers have several limitations. Recent research identified different AKI phenotypes based on clinical features, biomarkers, and pathophysiological pathways. Biomarkers, such as Cystatin C, NGAL, TIMP2∗IGFBP7, CCL14, and DKK-3, have shown promise in predicting AKI development, renal recovery, and prognosis. Biomarker-guided interventions, such as the implementation of the KDIGO bundle, have demonstrated an improvement in renal outcomes in specific patient groups. SUMMARY A personalized approach to AKI treatment as well as research is becoming increasingly important as it allows the identification of distinct AKI phenotypes and the potential for targeted interventions. By utilizing biomarkers and clinical features, physicians might be able to stratify patients into subphenotypes, enabling more individualized treatment strategies. This review highlights the potential of personalized AKI treatment, emphasizing the need for further research and large-scale clinical trials to validate the efficacy of these approaches.
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Affiliation(s)
- Christian Porschen
- Klinik für Anästhesiologie, operative Intensivmedizin und Schmerztherapie, Universitätsklinikum Münster, Münster, Germany
| | - Christian Strauss
- Klinik für Anästhesiologie, operative Intensivmedizin und Schmerztherapie, Universitätsklinikum Münster, Münster, Germany
| | - Melanie Meersch
- Klinik für Anästhesiologie, operative Intensivmedizin und Schmerztherapie, Universitätsklinikum Münster, Münster, Germany
| | - Alexander Zarbock
- Klinik für Anästhesiologie, operative Intensivmedizin und Schmerztherapie, Universitätsklinikum Münster, Münster, Germany
- Outcomes Research Consortium, Cleveland, Ohio, USA
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21
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Pickkers P. Mediators, consequences and therapeutic considerations in patients with acute kidney injury. Curr Opin Crit Care 2023; 29:527-528. [PMID: 37909366 DOI: 10.1097/mcc.0000000000001093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Affiliation(s)
- Peter Pickkers
- Department Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
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22
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Shaker AM, Mohamed MF, Thabet KK, Ramzy T, Abdelhamid YM. Serum Interleukin-18, Kidney Injury Molecule-1, and the Renal Resistive Index for Predicating Acute Kidney Injury in Critically Ill Patients with Sepsis. SAUDI JOURNAL OF KIDNEY DISEASES AND TRANSPLANTATION 2023; 34:S153-S160. [PMID: 38995283 DOI: 10.4103/sjkdt.sjkdt_56_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024] Open
Abstract
Interleukin-18 (IL-18) is a pro-inflammatory cytokine that rises approximately 24-48 h before a diagnosis of acute kidney injury (AKI). Kidney injury molecule-1 (KIM-1) is one of the most promising early biomarkers. It participates in the process of both kidney injury and healing, although the precise mechanism of the restoration of tubular integrity after injury still remains unclear. The renal resistive index (RRI) is used for evaluating changes in intrarenal perfusion occurring in renal parenchyma diseases. The study included 80 critically ill patients with sepsis, divided into 40 patients who developed AKI and 40 patients without AKI. All patients were evaluated through their history, clinical examination, laboratory investigations of serum IL-18 and KIM-1, and the RRI. Serum IL 18, serum KIM-1, and the RRI were significantly higher in critically ill patients with sepsis and AKI. Receiver operating characteristic analysis for detecting AKI 1 day after admission showed that the area under the curve (AUC) for serum IL-18 was 86.1%, the AUC for serum KIM-1 was 86%, and the AUC for the RRI was 88%, demonstrating statistical significance for the diagnosis of AKI within the next 24 h. Serum IL-18, KIM-1, and the RRI represent early predictors of AKI in critically ill septic patients.
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Affiliation(s)
- Amr Mohamed Shaker
- Department of Internal Medicine and Nephrology, Cairo University, Kasr Al Aini Hospital, Cairo, Egypt
| | - Moataz F Mohamed
- Department of Internal Medicine and Nephrology, Cairo University, Kasr Al Aini Hospital, Cairo, Egypt
| | - Karim K Thabet
- Department of Internal Medicine and Nephrology, Cairo University, Kasr Al Aini Hospital, Cairo, Egypt
| | - Tarek Ramzy
- Department of Clinical and Chemical Pathology, Cairo University, Kasr Al Aini Hospital, Cairo, Egypt
| | - Yasser M Abdelhamid
- Department of Internal Medicine and Nephrology, Cairo University, Kasr Al Aini Hospital, Cairo, Egypt
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23
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Roedl K, De Rosa S, Fischer M, Braunsteiner J, Schmidt-Lauber C, Jarczak D, Huber TB, Kluge S, Wichmann D. Early acute kidney injury and transition to renal replacement therapy in critically ill patients with SARS-CoV-2 requiring veno-venous extracorporeal membrane oxygenation. Ann Intensive Care 2023; 13:115. [PMID: 37999776 PMCID: PMC10673790 DOI: 10.1186/s13613-023-01205-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 10/12/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requiring veno-venous extracorporeal membrane oxygenation (vv-ECMO) are at risk for acute kidney injury (AKI). Currently, the incidence of AKI and progression to kidney replacement therapy (RRT) in critically ill patients with vv-ECMO for severe COVID-19 and implications on outcome are still unclear. METHODS Retrospective analysis at the University Medical Center Hamburg-Eppendorf (Germany) between March 1st, 2020 and July 31st, 2021. Demographics, clinical parameters, AKI, type of organ support, length of ICU stay, mortality and severity scores were assessed. RESULTS Ninety-one critically ill patients with SARS-CoV-2 requiring ECMO were included. The median age of the study population was 57 (IQR 49-64) years and 67% (n = 61) were male. The median SAPS II and SOFA Score on admission were 40 (34-46) and 12 (10-14) points, respectively. We observed that 45% (n = 41) developed early-AKI, 38% (n = 35) late-AKI and 16% (n = 15) no AKI during the ICU stay. Overall, 70% (n = 64) of patients required RRT during the ICU stay, 93% with early-AKI and 74% with late-AKI. Risk factors for early-AKI were younger age (OR 0.94, 95% CI 0.90-0.99, p = 0.02) and SAPS II (OR 1.12, 95% CI 1.06-1.19, p < 0.001). Patients with and without RRT were comparable regarding baseline characteristics. SAPS II (41 vs. 37 points, p < 0.05) and SOFA score (13 vs. 12 points, p < 0.05) on admission were significantly higher in patients receiving RRT. The median duration of ICU (36 vs. 28 days, p = 0.27) stay was longer in patients with RRT. An ICU mortality rate in patients with RRT in 69% (n = 44) and in patients without RRT of 56% (n = 27) was observed (p = 0.23). CONCLUSION Critically ill patients with severe SARS-CoV-2 related ARDS requiring vv-ECMO are at high risk of early acute kidney injury. Early-AKI is associated with age and severity of illness, and presents with high need for RRT. Mortality in patients with RRT was comparable to patients without RRT.
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Affiliation(s)
- Kevin Roedl
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Silvia De Rosa
- Centre for Medical Sciences, CISMed, University of Trento, Via S. Maria Maddalena 1, 38122, Trento, Italy
- Anesthesia and Intensive Care, Santa Chiara Regional Hospital, APSS, Trento, Italy
| | - Marlene Fischer
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Josephine Braunsteiner
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Christian Schmidt-Lauber
- III. Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Research Center On Rare Kidney Diseases (RECORD), University Hospital Erlangen, Erlangen, Germany
| | - Dominik Jarczak
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Tobias B Huber
- III. Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Kluge
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Dominic Wichmann
- Department of Intensive Care Medicine, University Medical Centre Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
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24
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Wald R, Gaudry S, da Costa BR, Adhikari NKJ, Bellomo R, Du B, Gallagher MP, Hoste EA, Lamontagne F, Joannidis M, Liu KD, McAuley DF, McGuinness SP, Nichol AD, Ostermann M, Palevsky PM, Qiu H, Pettilä V, Schneider AG, Smith OM, Vaara ST, Weir M, Dreyfuss D, Bagshaw SM. Initiation of continuous renal replacement therapy versus intermittent hemodialysis in critically ill patients with severe acute kidney injury: a secondary analysis of STARRT-AKI trial. Intensive Care Med 2023; 49:1305-1316. [PMID: 37815560 DOI: 10.1007/s00134-023-07211-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/22/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND There is controversy regarding the optimal renal-replacement therapy (RRT) modality for critically ill patients with acute kidney injury (AKI). METHODS We conducted a secondary analysis of the STandard versus Accelerated Renal Replacement Therapy in Acute Kidney Injury (STARRT-AKI) trial to compare outcomes among patients who initiated RRT with either continuous renal replacement therapy (CRRT) or intermittent hemodialysis (IHD). We generated a propensity score for the likelihood of receiving CRRT and used inverse probability of treatment with overlap-weighting to address baseline inter-group differences. The primary outcome was a composite of death or RRT dependence at 90-days after randomization. RESULTS We identified 1590 trial participants who initially received CRRT and 606 who initially received IHD. The composite outcome of death or RRT dependence at 90-days occurred in 823 (51.8%) patients who commenced CRRT and 329 (54.3%) patients who commenced IHD (unadjusted odds ratio (OR) 0.90; 95% confidence interval (CI) 0.75-1.09). After balancing baseline characteristics with overlap weighting, initial receipt of CRRT was associated with a lower risk of death or RRT dependence at 90-days compared with initial receipt of IHD (OR 0.81; 95% CI 0.66-0.99). This association was predominantly driven by a lower risk of RRT dependence at 90-days (OR 0.61; 95% CI 0.39-0.94). CONCLUSIONS In critically ill patients with severe AKI, initiation of CRRT, as compared to IHD, was associated with a significant reduction in the composite outcome of death or RRT dependence at 90-days.
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Affiliation(s)
- Ron Wald
- Division of Nephrology, St. Michael's Hospital, University of Toronto, Li Ka Shing Knowledge Institute, Toronto, ON, Canada.
| | - Stephane Gaudry
- AP-HP, Hôpital Avicenne, Service de Réanimation Médico-Chirurgicale, UFR SMBH, Université Sorbonne Paris Nord, Bobigny, France
- UMR S1155, French National Institute of Health and Medical Research (INSERM), CORAKID, Hôpital Tenon, Sorbonne Université, 75020, Paris, France
| | - Bruno R da Costa
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Neill K J Adhikari
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - Rinaldo Bellomo
- Department of Intensive Care, Austin Hospital, Melbourne, Australia
- Department of Intensive Care, Royal Melbourne Hospital, Melbourne, Australia
- School of Medicine, The University of Melbourne, Melbourne, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bin Du
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Martin P Gallagher
- The George Institute for Global Health, University of New South Wales, Kensington, NSW, Australia
| | - Eric A Hoste
- Intensive Care Unit, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - François Lamontagne
- Department of Medicine, Université de Sherbrooke, Centre de Recherche du CHU de Sherbrooke, Sherbrooke, QC, Canada
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University Innsbruck, Innsbruck, Austria
| | - Kathleen D Liu
- Division of Intensive Care and Nephrology, University of California San Francisco, San Francisco, CA, USA
| | - Daniel F McAuley
- The Regional Intensive Care Unit, The Wellcome-Wolfson Institute for Experimental Medicine, Queen's University, Royal Victoria Hospital, Belfast, UK
| | - Shay P McGuinness
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland and Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Alistair D Nichol
- Department of Critical Care Medicine, University College Dublin Clinical Research Centre at St. Vincent's University Hospital, Dublin, Ireland
- Monash University, Melbourne, Australia
| | - Marlies Ostermann
- Department of Critical Care Medicine, King's College London, Guy's & St Thomas Hospital, London, UK
| | - Paul M Palevsky
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Kidney Medicine Section, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Haibo Qiu
- Department of Critical Care Medicine, Zhongda Hospital Southeast University, Nanjing, China
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Perioperative, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Antoine G Schneider
- Department of Critical Care Medicine Centre, Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Orla M Smith
- Department of Critical Care, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Suvi T Vaara
- Department of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Matthew Weir
- Division of Nephrology, London Health Sciences Centre, London, ON, Canada
| | - Didier Dreyfuss
- UMR S1155, French National Institute of Health and Medical Research (INSERM), CORAKID, Hôpital Tenon, Sorbonne Université, 75020, Paris, France
- Service de Médecine Intensive Réanimation, Sorbonne Université, Hôpital Louis Mourier, Assistance Publique, Université de Paris-Cité, Paris, France
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, AB, Canada
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25
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Rihl MF, Pellegrini JAS, Boniatti MM. VExUS Score in the Management of Patients With Acute Kidney Injury in the Intensive Care Unit: AKIVEX Study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:2547-2556. [PMID: 37310104 DOI: 10.1002/jum.16288] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/25/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Venous congestion is a potential cause of acute kidney injury (AKI) and venous excess ultrasound (VExUS) score is a potentially useful tool in this scenario. The aim of this study is to verify whether the VExUS score can serve as a guide to decongestion in patients with severe AKI and whether the modification of the score can be associated with an increase in the number of renal replacement therapy (RRT)-free days in 28 days. METHODS This quasi-experimental study was conducted in patients admitted to the intensive care unit who developed severe AKI. The intervention was to suggest to the attending physician the use of diuretic in patients with VExUS >1. After 48 hours, a new VExUS assessment was performed. Primary outcome was RRT-free days at Day 28. RESULTS Ninety patients were included. Patients with a VExUS score >1 (n = 36) at enrollment had a greater use of diuretics in the following 48 hours (75.0%, n = 27) than patients with a VExUS ≤1 (n = 54) at enrollment (38.9%, n = 21), P = .001. Patients who reduced the VExUS score had a significantly greater number of RRT-free days at Day 28 (28.0; 8.0-28.0) when compared with those who did not reduce (15.0; 3.0-27.5), P = .012. CONCLUSIONS We found a higher diuretic use in patients with a higher VExUS score, and patients who reduced the VExUS in 48 hours had significantly more RRT-free days in 28 days.
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Affiliation(s)
- Marcos Frata Rihl
- Postgraduate Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Department of Critical Care, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Márcio Manozzo Boniatti
- Postgraduate Program in Cardiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Department of Critical Care, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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26
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Yoshida T, Matsuura R, Komaru Y, Miyamoto Y, Yoshimoto K, Hamasaki Y, Noiri E, Nangaku M, Doi K. Different Roles of Functional and Structural Renal Markers Measured at Discontinuation of Renal Replacement Therapy for Acute Kidney Injury. Blood Purif 2023; 52:786-792. [PMID: 37757763 PMCID: PMC10777711 DOI: 10.1159/000532034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 07/03/2023] [Indexed: 09/29/2023]
Abstract
INTRODUCTION Severe acute kidney injury (AKI) requiring renal replacement therapy (RRT) has been associated with an unacceptably high mortality of 50% or more. Successful discontinuation of RRT is thought to be linked to better outcomes. Although functional and structural renal markers have been evaluated in AKI, little is known about their roles in predicting outcomes at the time of RRT discontinuation. METHODS In this prospective single-center cohort study, we analyzed patients who received continuous RRT (CRRT) for AKI between August 2016 and March 2018 in the intensive care unit of the University of Tokyo Hospital (Tokyo, Japan). Clinical parameters and urine samples were obtained at CRRT discontinuation. Successful CRRT discontinuation was defined as neither resuming CRRT for 48 h nor receiving intermittent hemodialysis for 7 days from the CRRT termination. Major adverse kidney events (MAKEs) were defined as death, requirement for dialysis, or a decrease in the estimated glomerular filtration rate (eGFR) of more than 25% from the baseline at day 90. RESULTS Of 73 patients, who received CRRT for AKI, 59 successfully discontinued CRRT and 14 could not. Kinetic eGFR, urine volume, urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary L-type fatty acid binding protein were predictive for CRRT discontinuation. Of these factors, urine volume had the highest area under the curve (AUC) 0.91 with 95% confidence interval [0.80-0.96] for successful CRRT discontinuation. For predicting MAKEs at day 90, the urinary NGAL showed the highest AUC 0.76 [0.62-0.86], whereas kinetic eGFR and urine volume failed to show statistical significance (AUC 0.49 [0.35-0.63] and AUC 0.59 [0.44-0.73], respectively). CONCLUSIONS Our prospective study confirmed that urine volume, a functional renal marker, predicted successful discontinuation of RRT and that urinary NGAL, a structural renal marker, predicted long-term renal outcomes. These observations suggest that the functional and structural renal makers play different roles in predicting the outcomes of severe AKI requiring RRT.
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Affiliation(s)
- Teruhiko Yoshida
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan,
| | - Ryo Matsuura
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Yohei Komaru
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshihisa Miyamoto
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Kohei Yoshimoto
- Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshifumi Hamasaki
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Eisei Noiri
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, The University of Tokyo Hospital, Tokyo, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Tokyo, Japan
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Hartman E, Scott AM, Karlsson C, Mohanty T, Vaara ST, Linder A, Malmström L, Malmström J. Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis. Nat Commun 2023; 14:5359. [PMID: 37660105 PMCID: PMC10475049 DOI: 10.1038/s41467-023-41146-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/22/2023] [Indexed: 09/04/2023] Open
Abstract
The incorporation of machine learning methods into proteomics workflows improves the identification of disease-relevant biomarkers and biological pathways. However, machine learning models, such as deep neural networks, typically suffer from lack of interpretability. Here, we present a deep learning approach to combine biological pathway analysis and biomarker identification to increase the interpretability of proteomics experiments. Our approach integrates a priori knowledge of the relationships between proteins and biological pathways and biological processes into sparse neural networks to create biologically informed neural networks. We employ these networks to differentiate between clinical subphenotypes of septic acute kidney injury and COVID-19, as well as acute respiratory distress syndrome of different aetiologies. To gain biological insight into the complex syndromes, we utilize feature attribution-methods to introspect the networks for the identification of proteins and pathways important for distinguishing between subtypes. The algorithms are implemented in a freely available open source Python-package ( https://github.com/InfectionMedicineProteomics/BINN ).
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Affiliation(s)
- Erik Hartman
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
| | - Aaron M Scott
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden
| | - Christofer Karlsson
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden
| | - Tirthankar Mohanty
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden
| | - Suvi T Vaara
- Department of Perioperative and Intensive Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Adam Linder
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden
| | - Lars Malmström
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden
| | - Johan Malmström
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Lund, Sweden.
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28
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Maluangnon C, Kanogpotjananont P, Tongyoo S. Comparing Outcomes of Critically Ill Patients in Intensive Care Units and General Wards: A Comprehensive Analysis. Int J Gen Med 2023; 16:3779-3787. [PMID: 37649854 PMCID: PMC10464897 DOI: 10.2147/ijgm.s422791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023] Open
Abstract
Background The admission of critically ill patients to intensive care unit (ICU) plays a crucial role in reducing mortality. However, the scarcity of available ICU beds presents a significant challenge. In resource-limited settings, the outcomes of critically ill patients, particularly those who are not accepted for ICU admission, have been a topic of ongoing debate and contention. Objective This study aimed to explore the outcomes and factors associated with ICU admission and mortality among critically ill patients in Thailand. Methods This prospective cohort study enrolled critically ill adults indicated for medical ICU admission. Patients were followed for 28 days regardless of whether they were admitted to an ICU. Data on mortality, hospital length of stay, duration of organ support, and factors associated with mortality and ICU admission were collected. Results Of the 180 patients enrolled, 72 were admitted to ICUs, and 108 were cared for in general wards. The ICU group had a higher 28-day mortality rate (44.4% vs 20.4%; P=0.001), but other outcomes of interest were comparable. Multivariate analysis identified alteration of consciousness, norepinephrine use, and epinephrine use as independent predictors of 28-day mortality. Higher body mass index (BMI), higher APACHE II score, and acute kidney injury were predictive factors associated with ICU acceptance. Conclusion Among patients indicated for ICU admission, those who were admitted had a higher 28-day mortality rate. Higher mortality was associated with alteration of consciousness and vasopressor use. Patients who were sicker and had higher BMI were more likely to be admitted to an ICU.
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Affiliation(s)
- Chailat Maluangnon
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Paweena Kanogpotjananont
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Medicine, Chaopraya Abhaiphubejhr Hospital, Prachinburi, Thailand
| | - Surat Tongyoo
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Huang CY, Güiza F, Wouters P, Mebis L, Carra G, Gunst J, Meersseman P, Casaer M, Van den Berghe G, De Vlieger G, Meyfroidt G. Development and validation of the creatinine clearance predictor machine learning models in critically ill adults. Crit Care 2023; 27:272. [PMID: 37415234 PMCID: PMC10327364 DOI: 10.1186/s13054-023-04553-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND In critically ill patients, measured creatinine clearance (CrCl) is the most reliable method to evaluate glomerular filtration rate in routine clinical practice and may vary subsequently on a day-to-day basis. We developed and externally validated models to predict CrCl one day ahead and compared them with a reference reflecting current clinical practice. METHODS A gradient boosting method (GBM) machine-learning algorithm was used to develop the models on data from 2825 patients from the EPaNIC multicenter randomized controlled trial database. We externally validated the models on 9576 patients from the University Hospitals Leuven, included in the M@tric database. Three models were developed: a "Core" model based on demographic, admission diagnosis, and daily laboratory results; a "Core + BGA" model adding blood gas analysis results; and a "Core + BGA + Monitoring" model also including high-resolution monitoring data. Model performance was evaluated against the actual CrCl by mean absolute error (MAE) and root-mean-square error (RMSE). RESULTS All three developed models showed smaller prediction errors than the reference. Assuming the same CrCl of the day of prediction showed 20.6 (95% CI 20.3-20.9) ml/min MAE and 40.1 (95% CI 37.9-42.3) ml/min RMSE in the external validation cohort, while the developed model having the smallest RMSE (the Core + BGA + Monitoring model) had 18.1 (95% CI 17.9-18.3) ml/min MAE and 28.9 (95% CI 28-29.7) ml/min RMSE. CONCLUSIONS Prediction models based on routinely collected clinical data in the ICU were able to accurately predict next-day CrCl. These models could be useful for hydrophilic drug dosage adjustment or stratification of patients at risk. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Chao-Yuan Huang
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Fabian Güiza
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Pieter Wouters
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Liese Mebis
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Giorgia Carra
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jan Gunst
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Philippe Meersseman
- Department of General Internal Medicine, Medical Intensive Care Unit, University Hospitals Leuven, Leuven, Belgium
| | - Michael Casaer
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet Van den Berghe
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Greet De Vlieger
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Geert Meyfroidt
- Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
- Department of Intensive Care Medicine, University Hospitals Leuven, Leuven, Belgium.
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Scott AM, Karlsson C, Mohanty T, Hartman E, Vaara ST, Linder A, Malmström J, Malmström L. Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics. Commun Biol 2023; 6:628. [PMID: 37301900 PMCID: PMC10257694 DOI: 10.1038/s42003-023-04977-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 05/24/2023] [Indexed: 06/12/2023] Open
Abstract
Data independent acquisition mass spectrometry (DIA-MS) has recently emerged as an important method for the identification of blood-based biomarkers. However, the large search space required to identify novel biomarkers from the plasma proteome can introduce a high rate of false positives that compromise the accuracy of false discovery rates (FDR) using existing validation methods. We developed a generalized precursor scoring (GPS) method trained on 2.75 million precursors that can confidently control FDR while increasing the number of identified proteins in DIA-MS independent of the search space. We demonstrate how GPS can generalize to new data, increase protein identification rates, and increase the overall quantitative accuracy. Finally, we apply GPS to the identification of blood-based biomarkers and identify a panel of proteins that are highly accurate in discriminating between subphenotypes of septic acute kidney injury from undepleted plasma to showcase the utility of GPS in discovery DIA-MS proteomics.
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Affiliation(s)
- Aaron M Scott
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Christofer Karlsson
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Tirthankar Mohanty
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Erik Hartman
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Suvi T Vaara
- Division of Anaesthesia and Intensive Care Medicine Department of Surgery, Intensive Care Units, Helsinki University Central Hospital, Box 340, 00029 HUS, Helsinki, Finland
| | - Adam Linder
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Johan Malmström
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Lars Malmström
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden.
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Bandert A, Lipcsey M, Frithiof R, Larsson A, Smekal D. In an endotoxaemic model, antibiotic clearance can be affected by different central venous catheter positions, during renal replacement therapy. Intensive Care Med Exp 2023; 11:32. [PMID: 37291474 DOI: 10.1186/s40635-023-00516-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/25/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND In intensive care, different central venous catheters (CVC) are often used for infusion of drugs. If a patient is treated with continuous renal replacement therapy (CRRT) a second catheter, a central venous dialysis catheter (CVDC), is needed. Placing the catheters close together might pose a risk that a drug infused in a CVC could be directly aspirated into a CRRT machine and cleared from the blood without giving the effect intended. The purpose of this study was to elucidate if drug clearance is affected by different catheter placement, during CRRT. In this endotoxaemic animal model, an infusion of antibiotics was administered in a CVC placed in the external jugular vein (EJV). Antibiotic clearance was compared, whether CRRT was through a CVDC placed in the same EJV, or in a femoral vein (FV). To reach a target mean arterial pressure (MAP), noradrenaline was infused through the CVC and the dose was compared between the CDVDs. RESULTS The main finding in this study was that clearance of antibiotics was higher when both catheter tips were in the EJV, close together, compared to in different vessels, during CRRT. The clearance of gentamicin was 21.0 ± 7.3 vs 15.5 ± 4.2 mL/min (p 0.006) and vancomycin 19.3 ± 4.9 vs 15.8 ± 7.1 mL/min (p 0.021). The noradrenaline dose to maintain a target MAP also showed greater variance with both catheters in the EJV, compared to when catheters were placed in different vessels. CONCLUSION The results in this study indicate that close placement of central venous catheter tips could lead to unreliable drug concentration, due to direct aspiration, during CRRT.
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Affiliation(s)
- Anna Bandert
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
- Centre for Research and Development, Uppsala University/Region Gävleborg, Gävle, Sweden.
- Department of Anaesthesiology and Intensive Care, Gävle Hospital, Lasarettvägen 1, 80324, Gävle, Sweden.
| | - Miklós Lipcsey
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
- Department of Surgical Sciences, Hedenstierna Laboratory, Uppsala University, Uppsala, Sweden
| | - Robert Frithiof
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - David Smekal
- Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
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Linné E, Åkesson A, Bentzer P. Author's response: "Cystatin C and derived measures of renal function as risk factors for mortality and acute kidney injury in sepsis - A post-hoc analysis of the FINNAKI cohort". J Crit Care 2023:154296. [PMID: 37045643 DOI: 10.1016/j.jcrc.2023.154296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 03/19/2023] [Indexed: 04/14/2023]
Affiliation(s)
- Erik Linné
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Department of Anesthesia and Intensive care, Kristianstad Hospital, Kristianstad, Sweden.
| | - Anna Åkesson
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - Peter Bentzer
- Anesthesia & Intensive Care, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Department of Anesthesia and Intensive care, Helsingborg Hospital, Helsingborg, Sweden
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Kameda S, Fujii T, Ikeda J, Kageyama A, Takagi T, Miyayama N, Asano K, Endo A, Uezono S. Unfractionated heparin versus nafamostat mesylate for anticoagulation during continuous kidney replacement therapy: an observational study. BMC Nephrol 2023; 24:12. [PMID: 36642717 PMCID: PMC9840945 DOI: 10.1186/s12882-023-03060-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/11/2023] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Unfractionated heparin sodium and nafamostat mesylate have long been used as anticoagulants in continuous kidney replacement therapy (CKRT) where citrate is unavailable. This study aimed to determine whether heparin or nafamostat mesylate used during CKRT was associated with a longer filter life. METHODS In this single-centre observational study, we included adult patients who required CKRT and used heparin or nafamostat mesylate for their first CKRT in the intensive care unit from September 1, 2013, to December 31, 2020. The primary outcome was filter life (from the start to the end of using the first filter). We used propensity score matching to adjust for the imbalance in patients' characteristics and laboratory data at the start of CKRT and compared the outcomes between the two groups. We also performed restricted mean survival time analysis to compare the filter survival times. RESULTS We included 286 patients, 157 patients on heparin and 129 patients on nafamostat mesylate. After propensity score matching, the mean filter life with heparin was 1.58 days (N = 91, Standard deviation [SD], 1.52) and with nafamostat mesylate was 1.06 days (N = 91, SD, 0.94, p = 0.006). Multivariable regression analysis adjusted for confounding factors supported that heparin was associated with a longer filter life compared with nafamostat mesylate (regression coefficient, days, 0.52 [95% CI, 0.15, 0.89]). The between group difference of the restricted mean filter survival time in the matched cohort was 0.29 (95% CI, 0.07-0.50, p = 0.008). CONCLUSION Compared to nafamostat mesylate, heparin was associated with one-third to one-half a day longer filter life. TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Shinya Kameda
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Tomoko Fujii
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Junpei Ikeda
- grid.470100.20000 0004 1756 9754Department of Clinical Engineering Technology, The Jikei University Hospital, Tokyo, Japan
| | - Akira Kageyama
- grid.470100.20000 0004 1756 9754Department of Pharmacy, The Jikei University Hospital, Tokyo, Japan
| | - Toshishige Takagi
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Naoki Miyayama
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Kengo Asano
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Arata Endo
- grid.470100.20000 0004 1756 9754Intensive Care Unit, The Jikei University Hospital, 3-19-18 Nishi-Shimbashi, Minato-Ku, 105-8471 Tokyo, Japan
| | - Shoichi Uezono
- grid.470100.20000 0004 1756 9754Department of Anesthesiology, The Jikei University Hospital, Tokyo, Japan
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External Validation of Mortality Prediction Models for Critical Illness Reveals Preserved Discrimination but Poor Calibration. Crit Care Med 2023; 51:80-90. [PMID: 36378565 DOI: 10.1097/ccm.0000000000005712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES In a recent scoping review, we identified 43 mortality prediction models for critically ill patients. We aimed to assess the performances of these models through external validation. DESIGN Multicenter study. SETTING External validation of models was performed in the Simple Intensive Care Studies-I (SICS-I) and the Finnish Acute Kidney Injury (FINNAKI) study. PATIENTS The SICS-I study consisted of 1,075 patients, and the FINNAKI study consisted of 2,901 critically ill patients. MEASUREMENTS AND MAIN RESULTS For each model, we assessed: 1) the original publications for the data needed for model reconstruction, 2) availability of the variables, 3) model performance in two independent cohorts, and 4) the effects of recalibration on model performance. The models were recalibrated using data of the SICS-I and subsequently validated using data of the FINNAKI study. We evaluated overall model performance using various indexes, including the (scaled) Brier score, discrimination (area under the curve of the receiver operating characteristics), calibration (intercepts and slopes), and decision curves. Eleven models (26%) could be externally validated. The Acute Physiology And Chronic Health Evaluation (APACHE) II, APACHE IV, Simplified Acute Physiology Score (SAPS)-Reduced (SAPS-R)' and Simplified Mortality Score for the ICU models showed the best scaled Brier scores of 0.11' 0.10' 0.10' and 0.06' respectively. SAPS II, APACHE II, and APACHE IV discriminated best; overall discrimination of models ranged from area under the curve of the receiver operating characteristics of 0.63 (0.61-0.66) to 0.83 (0.81-0.85). We observed poor calibration in most models, which improved to at least moderate after recalibration of intercepts and slopes. The decision curve showed a positive net benefit in the 0-60% threshold probability range for APACHE IV and SAPS-R. CONCLUSIONS In only 11 out of 43 available mortality prediction models, the performance could be studied using two cohorts of critically ill patients. External validation showed that the discriminative ability of APACHE II, APACHE IV, and SAPS II was acceptable to excellent, whereas calibration was poor.
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Predicting Risk Factors of Acute Kidney Injury in the First 7 Days after Admission: Analysis of a Group of Critically Ill Patients. Cardiovasc Ther 2022; 2022:1407563. [PMID: 36628120 PMCID: PMC9797299 DOI: 10.1155/2022/1407563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/22/2022] [Accepted: 12/03/2022] [Indexed: 12/24/2022] Open
Abstract
Background Acute kidney injury (AKI) is a common complication in critically ill patients. Some predictive models have been reported, but the conclusions are controversial. The aim of this study was the formation of nomograms to predict risk factors for AKI in critically ill patients within the first 7 days after admission to the intensive care unit (ICU). Methods Data were extracted from the Medical Information Mart for Intensive Care- (MIMIC-) III database. The random forest method was used to fill in the missing values, and least absolute shrinkage and selection operator (Lasso) regression analysis was performed to screen for possible risk factors. Results A total of 561 patients were enrolled. Complication with AKI is significantly associated with a longer length of stay (LOS). For all patients, the predictors contained in the prediction nomogram included hypertension, coronary artery disease (CAD), cardiopulmonary bypass (CPB), coronary artery bypass grafting (CABG), Simplified Acute Physiology Score II (SAPS II), central venous pressure (CVP) measured for the first time after admission, and maximum and minimum mean artery pressure (MAP). The model showed good discrimination (C - index = 0.818, 95% CI: 0.779-0.857). In the subgroup of patients with well-controlled blood glucose levels, the significant predictors included hypertension, CABG, CPB, SAPS II, and maximum and minimum MAP. Good discrimination was also present before (C - index = 0.785, 95% CI: 0.736-0.834) and after adjustment (adjusted C - index = 0.770). Conclusion Hypertension, CAD, CPB, CABG, SAPS II, CVP measured for the first time after admission, and maximum and minimum MAP were independent risk factors for AKI in critically ill patients.
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Linné E, Elfström A, Åkesson A, Fisher J, Grubb A, Pettilä V, Vaara ST, Linder A, Bentzer P. Cystatin C and derived measures of renal function as risk factors for mortality and acute kidney injury in sepsis - A post-hoc analysis of the FINNAKI cohort. J Crit Care 2022; 72:154148. [PMID: 36108348 DOI: 10.1016/j.jcrc.2022.154148] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/25/2022] [Accepted: 08/26/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To assess the association between cystatin C-derived estimates of kidney function and mortality and acute kidney injury (AKI) in sepsis. MATERIALS AND METHODS Post-hoc analysis of sepsis patients in the FINNAKI-cohort (n = 802). Primary outcome was 90-day mortality. We measured plasma cystatin C and creatinine at intensive care unit (ICU) admission and estimated glomerular filtration rates (eGFRcys, eGFRcrea) and shrunken pore syndrome (SPS; defined as eGFRcys/eGFRcrea ratio < 0.7). Associations were assessed using Cox- or logistic regression. RESULTS Increased cystatin C and decreased eGFRcys were associated with mortality in unadjusted analyses and in analyses adjusted for illness severity and creatinine. Hazard ratios (HRs) in unadjusted analyses were 3.30 (95% CI; 2.12-5.13, p < 0.001) and 3.26 (95% CI; 2.12-5.02, p < 0.001) respectively. SPS was associated with mortality in an unadjusted- (HR 1.78, 95% CI; 1.33-2.37, p < 0.001) and in an adjusted analysis (HR 1.54, 95% CI; 1.07-2.22, p = 0.021). All cystatin C-derived measures were associated with mortality also after adjustment for AKI development. Cystatin C was associated with AKI in unadjusted analyses but not in analyses adjusted for creatinine. CONCLUSION Cystatin C and derived measures of kidney function at ICU admission are associated with an increased 90-day mortality. Increased AKI incidence does not fully explain this association.
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Affiliation(s)
- Erik Linné
- Department of Anesthesiology and Intensive Care, Helsingborg Hospital, Helsingborg, Sweden.
| | - Alma Elfström
- Department of Anesthesiology and Intensive Care, Helsingborg Hospital, Helsingborg, Sweden
| | - Anna Åkesson
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - Jane Fisher
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Division of Infection Medicine, Lund, Sweden
| | - Anders Grubb
- Department of Clinical Chemistry, Skåne University Hospital, Lund University, Lund, Sweden
| | - Ville Pettilä
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, 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, Helsinki, Finland
| | - Adam Linder
- Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Division of Infection Medicine, Lund, Sweden
| | - Peter Bentzer
- Lund University, Helsingborg Hospital, Department of Clinical Sciences Lund, Anesthesiology and Intensive Care, Lund, Sweden
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Schaubroeck H, Vandenberghe W, Boer W, Boonen E, Dewulf B, Bourgeois C, Dubois J, Dumoulin A, Fivez T, Gunst J, Hermans G, Lormans P, Meersseman P, Mesotten D, Stessel B, Vanhoof M, De Vlieger G, Hoste E. Acute kidney injury in critical COVID-19: a multicenter cohort analysis in seven large hospitals in Belgium. Crit Care 2022; 26:225. [PMID: 35879765 PMCID: PMC9310674 DOI: 10.1186/s13054-022-04086-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/02/2022] [Indexed: 11/11/2022] Open
Abstract
Background Acute kidney injury (AKI) has been reported as a frequent complication of critical COVID-19. We aimed to evaluate the occurrence of AKI and use of kidney replacement therapy (KRT) in critical COVID-19, to assess patient and kidney outcomes and risk factors for AKI and differences in outcome when the diagnosis of AKI is based on urine output (UO) or on serum creatinine (sCr). Methods Multicenter, retrospective cohort analysis of patients with critical COVID-19 in seven large hospitals in Belgium. AKI was defined according to KDIGO within 21 days after ICU admission. Multivariable logistic regression analysis was used to explore the risk factors for developing AKI and to assess the association between AKI and ICU mortality. Results Of 1286 patients, 85.1% had AKI, and KRT was used in 9.8%. Older age, obesity, a higher APACHE II score and use of mechanical ventilation at day 1 of ICU stay were associated with an increased risk for AKI. After multivariable adjustment, all AKI stages were associated with ICU mortality. AKI was based on sCr in 40.1% and UO in 81.5% of patients. All AKI stages based on sCr and AKI stage 3 based on UO were associated with ICU mortality. Persistent AKI was present in 88.6% and acute kidney disease (AKD) in 87.6%. Rapid reversal of AKI yielded a better prognosis compared to persistent AKI and AKD. Kidney recovery was observed in 47.4% of surviving AKI patients. Conclusions Over 80% of critically ill COVID-19 patients had AKI. This was driven by the high occurrence rate of AKI defined by UO criteria. All AKI stages were associated with mortality (NCT04997915). Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04086-x.
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Abstract
PURPOSE OF REVIEW Acute kidney injury is a heterogeneous syndrome and as such is associated with multiple predisposing conditions and causes all of which affect outcomes. Such heterogeneity may conceal the potential benefit of therapies when generally applied to patients with acute kidney injury (AKI). The discovery of pathophysiology-based subphenotypes could be of benefit in allocating current and future therapies to specific groups. RECENT FINDINGS Clinical subphenotypes group patients into categories according to predisposing factors, disease severity, and trajectory. These may be helpful in assessing patient outcomes. Analyses of existing databases have revealed biological subphenotypes that are characterized by levels of biomarkers indicative of hyperinflammation and endothelial injury. Patients with increased levels of these biomarkers display higher mortality rates compared with those with lower levels and there is potential that this group might respond differently to therapies. However, challenges remain in the validation, generalizability, and application of these subphenotypes. SUMMARY Subphenotyping may help reduce heterogeneity under the umbrella term of acute kidney injury. Despite challenges remain, the identification of AKI subphenotypes has opened the potential of AKI research focused on better targeted therapies.
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Jensen JLS, Hviid CVB, Hvas CL, Christensen S, Hvas AM, Larsen JB. Platelet Function in Acute Kidney Injury: A Systematic Review and a Cohort Study. Semin Thromb Hemost 2022. [PMID: 36174606 DOI: 10.1055/s-0042-1757167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Acute kidney injury (AKI) patients have increased bleeding risk, which could be partially due to acquired platelet dysfunction. We conducted a systematic review and a cohort study to investigate platelet function and count in AKI and their association with AKI-related bleeding and mortality. Through a systematic literature search in PubMed and Embase, we identified 9 studies reporting platelet function and 56 studies reporting platelet count or platelet indices in AKI patients. Overall, platelet aggregation was reduced in AKI patients in nonintensive care unit (ICU) settings but not in ICU settings, except that reduced aggregation was associated with renal replacement therapy. Thrombocytopenia in AKI was frequent and often predictive of mortality. In our cohort study, we prospectively included 54 adult ICU patients who developed AKI within 24 hours of ICU admission and 33 non-AKI ICU controls. Platelet function was measured with light transmission aggregometry and flow cytometry. AKI patients bled more frequently than non-AKI patients (p = 0.04), and bleeding was associated with increased 30-day mortality in AKI (p = 0.02). However, platelet function was not different between AKI and non-AKI patients (aggregation: all p > 0.52; flow cytometry: all p > 0.07) and platelet function was not associated with bleeding in AKI. In conclusion, a reduced platelet count is frequent in AKI, but the literature on platelet function in AKI is sparse. In a cohort study, we demonstrated that patients with AKI within 24 hours of ICU admission exhibited increased bleeding tendency but this was not associated with reduced platelet function.
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Affiliation(s)
| | - Claus Vinter Bødker Hviid
- Department of Clinical Biochemistry, Thrombosis and Haemostasis Research Unit, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Christine Lodberg Hvas
- Department of Anaesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Steffen Christensen
- Department of Anaesthesiology and Intensive Care, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Anne-Mette Hvas
- Department of Clinical Biochemistry, Thrombosis and Haemostasis Research Unit, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Julie Brogaard Larsen
- Department of Clinical Biochemistry, Thrombosis and Haemostasis Research Unit, Aarhus University Hospital, Aarhus, Denmark
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Vaara ST, Bhatraju PK, Stanski NL, McMahon BA, Liu K, Joannidis M, Bagshaw SM. Subphenotypes in acute kidney injury: a narrative review. Crit Care 2022; 26:251. [PMID: 35986336 PMCID: PMC9389711 DOI: 10.1186/s13054-022-04121-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 11/26/2022] Open
Abstract
Acute kidney injury (AKI) is a frequently encountered syndrome especially among the critically ill. Current diagnosis of AKI is based on acute deterioration of kidney function, indicated by an increase in creatinine and/or reduced urine output. However, this syndromic definition encompasses a wide variety of distinct clinical features, varying pathophysiology, etiology and risk factors, and finally very different short- and long-term outcomes. Lumping all AKI together may conceal unique pathophysiologic processes specific to certain AKI populations, and discovering these AKI subphenotypes might help to develop targeted therapies tackling unique pathophysiological processes. In this review, we discuss the concept of AKI subphenotypes, current knowledge regarding both clinical and biomarker-driven subphenotypes, interplay with AKI subphenotypes and other ICU syndromes, and potential future and clinical implications.
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Affiliation(s)
- Suvi T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, Meilahti Hospital, University of Helsinki and Helsinki University Hospital, PO Box 340, 00290, Helsinki, Finland.
| | - Pavan K Bhatraju
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, USA
- Sepsis Center of Research Excellence (SCORE), University of Washington, Seattle, USA
| | - Natalja L Stanski
- Division of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Blaithin A McMahon
- Division of Nephrology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Kathleen Liu
- Divisions of Nephrology and Critical Care, Departments of Medicine and Anesthesia, University of California, San Francisco, USA
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
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Huang S, Teng Y, Du J, Zhou X, Duan F, Feng C. Internal and external validation of machine learning-assisted prediction models for mechanical ventilation-associated severe acute kidney injury. Aust Crit Care 2022:S1036-7314(22)00087-X. [PMID: 35842332 DOI: 10.1016/j.aucc.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 10/17/2022] Open
Abstract
BACKGROUND Currently, very few preventive or therapeutic strategies are used for mechanical ventilation (MV)-associated severe acute kidney injury (AKI). OBJECTIVES We developed clinical prediction models to detect the onset of severe AKI in the first week of intensive care unit (ICU) stay during the initiation of MV. METHODS A large ICU database Medical Information Mart for Intensive Care IV (MIMIC-IV) was analysed retrospectively. Data were collected from the clinical information recorded at the time of ICU admission and during the initial 12 h of MV. Using univariate and multivariate analyses, the predictors were selected successively. For model development, two machine learning algorithms were compared. The primary goal was to predict the development of AKI stage 2 or 3 (AKI-23) and AKI stage 3 (AKI-3) in the first week of patients' ICU stay after initial 12 h of MV. The developed models were externally validated using another multicentre ICU database (eICU Collaborative Research Database, eICU) and evaluated in various patient subpopulations. RESULTS Models were developed using data from the development cohort (MIMIC-IV: 2008-2016; n = 3986); the random forest algorithm outperformed the logistic regression algorithm. In the internal (MIMIC-IV: 2017-2019; n = 1210) and external (eICU; n = 1494) validation cohorts, the incidences of AKI-23 were 154 (12.7%) and 119 (8.0%), respectively, with areas under the receiver operator characteristic curve of 0.78 (95% confidence interval [CI]: 0.74-0.82) and 0.80 (95% CI: 0.76-0.84); the incidences of AKI-3 were 81 (6.7%) and 67 (4.5%), with areas under the receiver operator characteristic curve of 0.81 (95% CI: 0.76-0.87) and 0.80 (95% CI: 0.73-0.86), respectively. CONCLUSIONS Models driven by machine learning and based on routine clinical data may facilitate the early prediction of MV-associated severe AKI. The validated models can be found at: https://apoet.shinyapps.io/mv_aki_2021_v2/.
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Affiliation(s)
- Sai Huang
- Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China; National Clinical Research Center of Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yue Teng
- Department of Emergency Medicine, General Hospital of Northern Theatre Command, 83 Wenhua Road, Shenyang 110016, China
| | - Jiajun Du
- Medical Information Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Xuan Zhou
- Department of Emergency, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572000, China
| | - Feng Duan
- Department of Interventional Radiology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
| | - Cong Feng
- Department of Emergency, First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China; State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, General Hospital of People's Liberation Army, Beijing, 100853, China; National Clinical Research Center of Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
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Trajectory of kidney recovery in pediatric patients requiring continuous kidney replacement therapy for acute kidney injury. Clin Exp Nephrol 2022; 26:1130-1136. [PMID: 35749006 DOI: 10.1007/s10157-022-02246-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 06/05/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Acute kidney injury (AKI) is commonly seen in the PICU and is associated with poor short-term and long-term outcomes, especially in patients who required continuous kidney replacement therapy (CKRT). However, as the trajectory of kidney recovery in these patients remain uncertain, determination of the timing to convert to permanent kidney replacement therapy (KRT) remains a major challenge. We aimed to examine the frequency and timing of kidney recovery in pediatric AKI survivors that required CKRT. METHODS We performed a retrospective study of patients under 18 years old who received CKRT for AKI in a tertiary-care PICU over 6 years. Primary outcomes were the rate of KRT withdrawal due to kidney recovery and KRT-dependent days for those who survived to hospital discharge. Secondary outcomes were all-cause mortality, dialysis dependence, and occurrences of estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73m2 and eGFR < 60 mL/min/1.73m2 one year after initiation of the index CKRT in survivors. RESULTS Thirty-nine patients were included. Of the 28 children who survived to hospital discharge, 26 (93%) withdrew from dialysis due to kidney recovery, all within 30 days. Twenty-three patients were followed up. One had died, five had an eGFR of 60 mL/min/1.73m2 or more but less than 90 mL/min/1.73m2, and two had an eGFR < 60 mL/min/1.73m2, of which one required peritoneal dialysis. CONCLUSIONS Over 90% of the survivors withdrew CKRT within 30 days. However, the frequency of abnormal eGFR one year after initiation of CKRT in survivors exceeded 30% and supports the recommendation of post-AKI follow-up.
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Bachmann KF, Regli A, Mändul M, Davis W, Reintam Blaser A. Impact of intraabdominal hypertension on kidney failure in critically ill patients: A post-hoc database analysis. J Crit Care 2022; 71:154078. [PMID: 35738182 DOI: 10.1016/j.jcrc.2022.154078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/02/2022] [Accepted: 05/18/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To assess whether intraabdominal hypertension (IAH) may influence kidney failure as well as mortality. METHODS This post-hoc analysis of two databases (IROI and iSOFA study) tested the independent association between IAH and kidney failure. Mortality was assessed using four prespecified groups (IAH present, kidney failure present, IAH and kidney failure present and no IAH or kidney failure present). RESULTS Of 825 critically ill patients, 302 (36.6%) developed kidney failure and 192 (23.7%) died during the first 90 days. Only 'Cumulative days with IAH grade II or more' was significantly associated with kidney failure (OR 1.29 (1.08-1.55), p = 0.003) while 'cumulative days with IAH grade I or more' (p = 0.135) or highest daily IAP (p = 0.062) was not. IAH combined with kidney failure was independently associated with 90-day mortality (OR 2.20 (1.20-4.05), p = 0.011), which was confirmed for higher grades of IAH (grade II or more) alone (OR 2.14 (1.07-4.30), p = 0.032) and combined with kidney failure (OR 3.25 (1.72-6.12), p < 0.001). CONCLUSIONS This study suggest that duration as well as higher grades of IAH are associated with kidney failure and may increase mortality.
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Affiliation(s)
- Kaspar F Bachmann
- Department of Intensive Care Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland; Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia.
| | - Adrian Regli
- Department of Intensive Care, Fiona Stanley Hospital, Perth, WA, Australia; Medical School, The University of Western Australia, Perth, WA, Australia; Medical School, The University of Notre Dame, Fremantle, WA, Australia
| | - Merli Mändul
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Wendy Davis
- Medical School, The University of Western Australia, Perth, WA, Australia
| | - Annika Reintam Blaser
- Department of Intensive Care Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland; Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia
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Toh LY, Wang AR, Bitker L, Eastwood GM, Bellomo R. Small, short-term, point-of-care creatinine changes as predictors of acute kidney injury in critically ill patients. J Crit Care 2022; 71:154097. [PMID: 35716650 DOI: 10.1016/j.jcrc.2022.154097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 06/03/2022] [Accepted: 06/04/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To assess short-term creatinine changes as predictors of acute kidney injury (AKI) when used alone and in combination with AKI risk factors. METHODS In this prospective cohort study, we identified all creatinine measurements from frequent point-of-care arterial blood gas measurements from ICU admission until AKI. We evaluated the predictive value of small changes between these creatinine measurements for AKI development, alone and with AKI risk factors. RESULTS Of 377 patients with 3235 creatinine measurements, generating 15,075 creatinine change episodes, 215 (57%) patients developed AKI, and 68 (18%) developed stage 2 or 3 AKI. In isolation, a creatinine increase over 4.1-7.3 h had a 0.65 area under the curve for predicting stage 2 or 3 AKI within 3-37.7 h. Combining creatinine increases of ≥1 μmol/L/h (≥0.0113 mg/dL/h) over 4-5.8 h with three AKI risk factors (cardiac surgery, use of vasopressors, chronic liver disease) had 83% sensitivity, 79% specificity and 0.87 area under the curve for stage 2 or 3 AKI occurring 8.7-25.6 h later. CONCLUSION In combination with key risk factors, frequent point-of-care creatinine assessment on arterial blood gases to detect small, short-term creatinine changes provides a robust, novel, low-cost, and rapid method for predicting AKI in critically ill patients.
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Affiliation(s)
- Lisa Y Toh
- Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, Australia
| | - Alwin R Wang
- Data Analytics Research and Evaluation, Austin Hospital and University of Melbourne, Melbourne, Australia
| | - Laurent Bitker
- Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, Australia; Université de Lyon, CREATIS CNRS UMR5220 INSERM U1044 INSA, Lyon, France
| | - Glenn M Eastwood
- Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, Australia; The Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rinaldo Bellomo
- Department of Intensive Care, Austin Hospital, Heidelberg, Melbourne, Australia; Data Analytics Research and Evaluation, Austin Hospital and University of Melbourne, Melbourne, Australia; The Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Critical Care, The University of Melbourne, Melbourne, Australia; Department of Intensive Care, Royal Melbourne Hospital, Melbourne, Australia.
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45
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Mo S, Bjelland TW, Nilsen TIL, Klepstad P. Acute kidney injury in intensive care patients: Incidence, time course, and risk factors. Acta Anaesthesiol Scand 2022; 66:961-968. [PMID: 35674748 PMCID: PMC9543500 DOI: 10.1111/aas.14100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 05/16/2022] [Accepted: 05/28/2022] [Indexed: 11/27/2022]
Abstract
Background Acute kidney injury (AKI) is frequent and influences the prognosis of intensive care unit (ICU) patients. The aim of this study was to estimate the incidence, time‐course, risk factors, and mortality of AKI among unselected ICU patients. Methods All adult ICU patients admitted to the ICU at the University Hospital in Central Norway from 2010 to 2015 with a stay of 24 h or more were included in the study. AKI was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. All patients were followed with respect to reversal of AKI. Risk factors for AKI were analyzed using Cox regression. Results Among 2325 ICU patients, 1245 developed AKI during the ICU stay, corresponding to an incidence of 53.5 % (CI, 51.5–55.5). The incidence according to KDIGO AKI stages 1, 2, and 3 was 26.2, 11.7, and 15.7%, respectively. The median duration of AKI was 24 (CI 19–24), 32 (CI 26–39), and 101 (CI 75–164) hours for AKI KDIGO stage 1, 2, and 3, respectively. AKI was transient, persistent, or AKD in 73.4, 16.5, and 10.0% of the patients with a known outcome. AKI reversal was observed in 72.9% of all AKI patients. Independent risk factors for AKI in a multivariate analysis were hypertension, diabetes, heart disease, and higher body weight. Episodes of mean arterial pressure below 73 mmHg were associated with a higher risk of AKI. Conclusions In our material, the incidence of AKI was comparable to what has been reported previously. Risk factors for the development of AKI were a MAP below 73, hypertension, diabetes, heart disease, chronic kidney disease, and higher body weight. Most AKI patients regain their kidney function during the ICU stay, particularly in the KDIGO AKI stages 1 and 2.
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Affiliation(s)
- Skule Mo
- Department of Anaesthesiology and Intensive Care Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway
| | - Thor W Bjelland
- Department of Anaesthesiology and Intensive Care Medicine, Oslo University Hospital, Oslo, Norway
| | - Tom I L Nilsen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Pål Klepstad
- Department of Anaesthesiology and Intensive Care Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
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46
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Plants with Therapeutic Potential for Ischemic Acute Kidney Injury: A Systematic Review. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:6807700. [PMID: 35656467 PMCID: PMC9152371 DOI: 10.1155/2022/6807700] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/30/2022] [Indexed: 11/18/2022]
Abstract
Acute kidney injury (AKI) is a complex condition which has an intricate pathology mostly involving hemodynamic, inflammatory, and direct toxic effects at the cellular level with high morbidity and mortality ratios. Renal ischemic reperfusion injury (RIRI) is the main factor responsible for AKI, most often observed in different types of shock, kidney transplantation, sepsis, and postoperative procedures. The RIRI-induced AKI is accompanied by increased reactive oxygen species generation together with the activation of various inflammatory pathways. In this context, plant-derived medicines have shown encouraging nephroprotective properties. Evidence provided in this systemic review leads to the conclusion that plant-derived extracts and compounds exhibit nephroprotective action against renal ischemic reperfusion induced-AKI by increasing endogenous antioxidants and decreasing anti-inflammatory cytokines. However, there is no defined biomarker or target which can be used for treating AKI completely. These plant-derived extracts and compounds are only tested in selected transgenic animal models. To develop the results obtained into a therapeutic entity, one should apply them in proper vertebrate multitransgenic animal models prior to further validation in humans.
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47
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The Effect of an Accelerated Renal Replacement Therapy Initiation Is Not Modified by Baseline Risk. Ann Am Thorac Soc 2022; 19:1613-1618. [PMID: 35587363 DOI: 10.1513/annalsats.202201-046rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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48
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Birkelo BC, Pannu N, Siew ED. Overview of Diagnostic Criteria and Epidemiology of Acute Kidney Injury and Acute Kidney Disease in the Critically Ill Patient. Clin J Am Soc Nephrol 2022; 17:717-735. [PMID: 35292532 PMCID: PMC9269585 DOI: 10.2215/cjn.14181021] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Since the description ischuria renalis by William Heberden (1), AKI has remained a prominent complication of critical illness. Beyond KRT, treatment has been limited by the capacity to phenotype this condition. Here, we chronicle the evolution of attempts to classify AKI, including the adoption of consensus definitions, the expansion of diagnosis and prognosis with novel biomarkers, and emerging tools such as artificial intelligence (AI).
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Affiliation(s)
- Bethany C. Birkelo
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Neesh Pannu
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Edward D. Siew
- Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
- Health Services Research and Development, Veterans Affairs Tennessee Valley, Nashville, Tennessee
- Veterans Affairs Geriatrics Research Education and Clinical Center (GRECC), Tennessee Valley Health System (THVS), Veteran’s Health Administration, Nashville, Tennessee
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Wang J, Wang S, Zhu MX, Yang T, Yin Q, Hou Y. Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study. JMIR Med Inform 2022; 10:e33395. [PMID: 35442202 PMCID: PMC9069286 DOI: 10.2196/33395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 12/13/2022] Open
Abstract
Background As a major health hazard, the incidence of coronary heart disease has been increasing year by year. Although coronary revascularization, mainly percutaneous coronary intervention, has played an important role in the treatment of coronary heart disease, major adverse cardiovascular events (MACE) such as recurrent or persistent angina pectoris after coronary revascularization remain a very difficult problem in clinical practice. Objective Given the high probability of MACE after coronary revascularization, the aim of this study was to develop and validate a predictive model for MACE occurrence within 6 months based on machine learning algorithms. Methods A retrospective study was performed including 1004 patients who had undergone coronary revascularization at The People’s Hospital of Liaoning Province and Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from June 2019 to December 2020. According to the characteristics of available data, an oversampling strategy was adopted for initial preprocessing. We then employed six machine learning algorithms, including decision tree, random forest, logistic regression, naïve Bayes, support vector machine, and extreme gradient boosting (XGBoost), to develop prediction models for MACE depending on clinical information and 6-month follow-up information. Among all samples, 70% were randomly selected for training and the remaining 30% were used for model validation. Model performance was assessed based on accuracy, precision, recall, F1-score, confusion matrix, area under the receiver operating characteristic (ROC) curve (AUC), and visualization of the ROC curve. Results Univariate analysis showed that 21 patient characteristic variables were statistically significant (P<.05) between the groups without and with MACE. Coupled with these significant factors, among the six machine learning algorithms, XGBoost stood out with an accuracy of 0.7788, precision of 0.8058, recall of 0.7345, F1-score of 0.7685, and AUC of 0.8599. Further exploration of the models to identify factors affecting the occurrence of MACE revealed that use of anticoagulant drugs and course of the disease consistently ranked in the top two predictive factors in three developed models. Conclusions The machine learning risk models constructed in this study can achieve acceptable performance of MACE prediction, with XGBoost performing the best, providing a valuable reference for pointed intervention and clinical decision-making in MACE prevention.
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Affiliation(s)
- Jinwan Wang
- School of Information Management, Nanjing University, Nanjing, China
| | - Shuai Wang
- First Department of Cardiology, The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Mark Xuefang Zhu
- School of Information Management, Nanjing University, Nanjing, China
| | - Tao Yang
- School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China
| | - Qingfeng Yin
- Jiangsu Famous Medical Technology Co Ltd, Nanjing, China
| | - Ya Hou
- Jiangsu Famous Medical Technology Co Ltd, Nanjing, China
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50
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Wang Z, Weng J, Yang J, Zhou X, Xu Z, Hou R, Zhou Z, Wang L, Chen C, Jin S. Acute kidney injury-attributable mortality in critically ill patients with sepsis. PeerJ 2022; 10:e13184. [PMID: 35356476 PMCID: PMC8958971 DOI: 10.7717/peerj.13184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/07/2022] [Indexed: 01/12/2023] Open
Abstract
Background To assess whether acute kidney injury (AKI) is independently associated with hospital mortality in ICU patients with sepsis, and estimate the excess AKI-related mortality attributable to AKI. Methods We analyzed adult patients from two distinct retrospective critically ill cohorts: (1) Medical Information Mart for Intensive Care IV (MIMIC IV; n = 15,610) cohort and (2) Wenzhou (n = 1,341) cohort. AKI was defined by Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We applied multivariate logistic and linear regression models to assess the hospital and ICU mortality, hospital length-of-stay (LOS), and ICU LOS. The excess attributable mortality for AKI in ICU patients with sepsis was further evaluated. Results AKI occurred in 5,225 subjects in the MIMIC IV cohort (33.5%) and 494 in the Wenzhou cohort (36.8%). Each stage of AKI was an independent risk factor for hospital mortality in multivariate logistic regression after adjusting for baseline illness severity. The excess attributable mortality for AKI was 58.6% (95% CI [46.8%-70.3%]) in MIMIC IV and 44.6% (95% CI [12.7%-76.4%]) in Wenzhou. Additionally, AKI was independently associated with increased ICU mortality, hospital LOS, and ICU LOS. Conclusion Acute kidney injury is an independent risk factor for hospital and ICU mortality, as well as hospital and ICU LOS in critically ill patients with sepsis. Thus, AKI is associated with excess attributable mortality.
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Affiliation(s)
- Zhiyi Wang
- Department of General Practice, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China,Center for Health Assessment, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jie Weng
- Department of General Practice, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jinwen Yang
- Department of Geriatric Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoming Zhou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhe Xu
- Department of Emergency Intensive Care Unit, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ruonan Hou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhiliang Zhou
- Department of General Practice, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Liang Wang
- Department of Public Health, Robbins College of health and Human Sciences, Baylor University, Waco, TX, United States of America
| | - Chan Chen
- Department of Geriatric Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Shengwei Jin
- Department of Anesthesia and Critical Care, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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