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Li L, Qin S, Lu X, Huang L, Xie M, Huang D. Association between the mean perfusion pressure and the risk of acute kidney injury in critically ill patients with sepsis: a retrospective cohort study. BMC Infect Dis 2024; 24:806. [PMID: 39123120 PMCID: PMC11312826 DOI: 10.1186/s12879-024-09706-1] [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: 04/23/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Mean perfusion pressure (MPP) has recently emerged as a potential biomarker for personalized management of tissue perfusion in critically ill patients. However, its association with the occurrence of acute kidney injury (AKI) in septic patients and the optimal MPP range remain uncertain. Therefore, this study aims to investigate the relationship between MPP and AKI in critically ill patients with sepsis. METHODS We identified 5867 patients with sepsis from the MIMIC-IV database who met the inclusion and exclusion criteria. The exposure variable was the first set of MPP measured within 24 h after ICU admission with invasive hemodynamic monitoring. The primary outcome was the incidence of AKI at 7 days following ICU admission according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Secondary outcomes included in-hospital mortality, lengths of ICU, and hospital stay. Optimal cut-off point for MPP were determined using the Youden index, and multivariable logistic regression was employed to examine the association between MPP and AKI. Subgroup analyses were conducted to enhance result robustness. Kaplan-Meier survival analysis was utilized to evaluate in-hospital mortality rates categorized by MPP. RESULTS A total of 5,867 patients with sepsis were included in this study, and the overall incidence of AKI was 82.3%(4828/5867). Patients were categorized into low MPP (< 63 mmHg) and high MPP (≥ 63 mmHg) groups using the optimal ROC curve-derived cut-off point. The incidence of AKI in the low MPP group was higher than that in the high MPP group (87.6% vs. 78.3%, P < 0.001). Multivariable logistic regression analysis adjusted for confounding factors revealed that each 1 mmHg increase in MPP as a continuous variable was associated with a 2% decrease in AKI incidence within 7 days of ICU admission (OR:0.98, 95%CI:0.97-0.99, P < 0.001). When MPP was used as a categorical variable, patients in the high MPP group had a lower risk of AKI than those in the low MPP group (OR:0.71, 95%CI:0.61-0.83, P = 0.001). Subgroup analyses demonstrated a consistent association between MPP and AKI risk across all variables assessed (P for interaction all > 0.05). Kaplan-Meier curve analysis demonstrated a higher survival rate during hospitalization in the high MPP group compared to the low MPP group (Log-rank test, P < 0.0001). CONCLUSIONS Lower levels of MPP are associated with an increased incidence of AKI at 7 days in critically ill patients with sepsis.
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Affiliation(s)
- Ling Li
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China
| | - Shuangwen Qin
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China
| | - Xiuhong Lu
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China
| | - Liuyun Huang
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China
| | - Mingjie Xie
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China
| | - Debin Huang
- Department of Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, NO 6 Shuang Yong Road, Nanning, Guangxi, China.
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Liu C, Peng Z, Dong Y, Li Z, Song X, Liu X, Andrijasevic NM, Gajic O, Albright RC, Kashani KB. Continuous Renal Replacement Therapy Liberation and Outcomes of Critically Ill Patients With Acute Kidney Injury. Mayo Clin Proc 2021; 96:2757-2767. [PMID: 34686364 DOI: 10.1016/j.mayocp.2021.05.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 04/08/2021] [Accepted: 05/27/2021] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To examine the association between continuous renal replacement therapy (CRRT) liberation and clinical outcomes among patients with acute kidney injury (AKI) requiring CRRT. METHODS This single-center, retrospective cohort study included adult patients admitted to intensive care units with AKI and treated with CRRT from January 1, 2007, to May 4, 2018. Based on the survival and renal replacement therapy (RRT) status at 72 hours after the first CRRT liberation, we classified patients into liberated, reinstituted, and those who died. We observed patients for 90 days after CRRT initiation to compare the major adverse kidney events (MAKE90). RESULTS Of 1135 patients with AKI, 228 (20%), 437 (39%), and 470 (41%) were assigned to liberated, reinstituted, and nonsurvival groups, respectively. The MAKE90, mortality, and RRT independence rates of the cohort were 62% (707 cases), 59% (674 cases), and 40% (453 cases), respectively. Compared with reinstituted patients, the liberated group had a lower MAKE90 (29% vs 39%; P=.009) and higher RRT independence rate (73% vs 65%; P=.04) on day 90, but without significant difference in 90-day mortality (26% vs 33%; P=.05). After adjustments for confounders, successful CRRT liberation was not associated with lower MAKE90 (odds ratio, 0.71; 95% CI, 0.48 to 1.04; P=.08) but was independently associated with improved kidney recovery at 90-day follow-up (hazard ratio, 1.81; 95% CI, 1.41 to 2.32; P<.001). CONCLUSION Our study demonstrated a high occurrence of CRRT liberation failure and poor 90-day outcomes in a cohort of AKI patients treated with CRRT.
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Affiliation(s)
- Chang Liu
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Zhiyong Peng
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yue Dong
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Zhuo Li
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL
| | - Xuan Song
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Xinyan Liu
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | | | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Robert C Albright
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Kianoush B Kashani
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN; Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN.
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Predicting successful continuous renal replacement therapy liberation in critically ill patients with acute kidney injury. J Crit Care 2021; 66:6-13. [PMID: 34358675 DOI: 10.1016/j.jcrc.2021.07.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 07/15/2021] [Accepted: 07/17/2021] [Indexed: 12/23/2022]
Abstract
PURPOSE No standardized criteria for continuous renal replacement therapy (CRRT) liberation have been established. We sought to develop and internally validate prediction models for successful CRRT liberation in critically ill patients with acute kidney injury (AKI). MATERIALS AND METHODS This single-center, retrospective cohort study included adult patients admitted to intensive care units (ICUs) with AKI and treated with CRRT from January 1, 2007, to May 4, 2018, at a tertiary referral hospital. The cohort was randomly divided into derivation and validation sets. The outcomes were successful CRRT liberation, defined as renal replacement therapy (RRT)-free survival within 72 h after the liberation and hospital discharge. Multivariate logistic regression models were developed and internally validated. RESULTS Of 1135 AKI patients requiring CRRT, successful CRRT liberation and RRT-free survival at hospital discharge were observed in 228 (20%) and 395 (35%) individuals, respectively. The independent predictors included mean hourly urine output within 12 h before liberation, mean serum creatinine value within 24 h before liberation, cumulative fluid balance from ICU admission to liberation, CRRT duration before liberation, and the requirement of vasoactive agents within 24 h before liberation. The models demonstrated good discrimination (AUROC, 0.76 and 0.78; positive predictive value, 36% and 48%; negative predictive value, 92% and 94%; respectively) and calibration in the validation set. CONCLUSIONS These validated models could assist the decision-making related to the CRRT liberation in critically ill patients with AKI.
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Hu P, Song L, Liang H, Chen Y, Wu Y, Zhang L, Li Z, Fu L, Tao Y, Liu S, Ye Z, Fu X, Liang X. Prospective model for predicting renal recovery in cardiac surgery patients with acute kidney injury requiring renal replacement therapy. Nephrology (Carlton) 2021; 26:586-593. [PMID: 33742730 PMCID: PMC9292395 DOI: 10.1111/nep.13878] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/21/2021] [Accepted: 03/12/2021] [Indexed: 11/30/2022]
Abstract
Aim To develop a model for predicting renal recovery in cardiac surgery patients with acute kidney injury (AKI) requiring renal replacement therapy (RRT). Methods Data from a prospective randomized controlled trial, conducted in a tertiary hospital to compare the survival effect of two dosages of hemofiltration for continuous RRT in cardiac surgery patients between 20 March 2012 and 9 August 2015, were used to develop the model. The outcome was renal recovery defined as alive and dialysis‐free 90 days after RRT initiation. Multivariate logistic regression with a stepwise backward selection of variables based on Akaike Information Criterion was applied to develop the model, which was internally validated using bootstrapping. Model discrimination, calibration and clinical value were assessed using the concordance index (C‐Index), calibration plots and decision curve analysis, respectively. Results Totally, 211 patients with AKI requiring RRT (66.8% male) with median age of 57 years were included. The incidence of renal recovery was 33.2% (n = 70). The model included six variables: body mass index stratification, baseline estimated glomerular filtration rate, hypertension, sepsis, mean arterial pressure and mechanical ventilation. The C‐Index for this model was 0.807 (95% CI, 0.744–0.870). After correction by the bootstrap, the C‐Index was 0.780 (95% CI, 0.720–0.845). The calibration plots indicated good consistency between actual observations and model prediction of renal recovery. Decision curve analysis demonstrated the model was clinical usefulness. Conclusion We developed and validated a model to predict the chance of renal recovery in cardiac surgery patients with AKI requiring RRT. This validated model based on prospective cohort data to predict the chance of renal recovery in cardiac surgery patients, especially after acute dialysis provides values to alert clinical decision and information for post AKI care.
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Affiliation(s)
- Penghua Hu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Division of Nephrology, Yixing People's Hospital, Yixing, Jiangsu, China
| | - Li Song
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Huaban Liang
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yuanhan Chen
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yanhua Wu
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Li Zhang
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhilian Li
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lei Fu
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yiming Tao
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shuangxin Liu
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhiming Ye
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xia Fu
- Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xinling Liang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Tourneur JM, Weissbrich C, Putensen C, Hilbert T. Feasibility of a protocol to wean patients from continuous renal replacement therapy: A retrospective pilot observation. J Crit Care 2019; 53:236-243. [PMID: 31280144 DOI: 10.1016/j.jcrc.2019.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 06/13/2019] [Accepted: 06/29/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE To evaluate the feasibility of a protocol-based algorithm to wean acute kidney injury (AKI) patients from continuous renal replacement therapy (CRRT). METHODS The protocol was introduced on one of two similarly equipped ICUs, while on the other (reference) ICU, CRRT discontinuation was based on clinical judgement. Patients were allocated to either ICU and were subjected to physician- or protocol-directed weaning, respectively. According to the algorithm, periodical withdrawal trials (WTs) were mandatory. Interventions were recommended (administration of diuretics, fluid, vasopressors, inotropes, or human albumin) to achieve specific goals (sufficient urine output, balanced fluid status, adequate renal perfusion pressure, optimal oxygen delivery, normoalbuminemia). Clearly stated criteria defined when to abort a WT and to resume RRT for one cycle, followed by another WT. RESULTS Urine output and ScvO2 during WTs were higher with protocol-directed weaning, as well as the amount of administered fluids. WT abort ratio was 48% with a tendency to prolonged WT duration, compared to 64% in the reference patients. No relevant adverse side effects were observed. CONCLUSION Our data show the feasibility of a structured approach to wean AKI patients from RRT that bundles established interventions and brings the weaning into the physician's focus.
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Affiliation(s)
- Julia-Marie Tourneur
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany
| | - Carsten Weissbrich
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany
| | - Christian Putensen
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany
| | - Tobias Hilbert
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
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