Association between albumin infusion and outcomes in patients with acute kidney injury and septic shock

AbstractSeptic shock with acute kidney injury (AKI) is common in critically ill patients. Our aim was to evaluate the association between albumin infusion and outcomes in patients with septic shock and AKI. Medical Information Mart for Intensive Care (MIMIC)-III was used to identify patients with septic shock and AKI. Propensity score matching (PSM) was employed to balance the baseline differences. Cox proportional hazards model, Wilcoxon rank-sum test, and logistic regression were utilized to determine the associations of albumin infusion with mortality, length of stay, and recovery of kidney function, respectively. A total of 2861 septic shock patients with AKI were studied, including 891 with albumin infusion, and 1970 without albumin infusion. After PSM, 749 pairs of patients were matched. Albumin infusion was associated with improved 28-day survival (HR 0.72; 95% CI 0.59–0.86; P = 0.002), but it was not difference in 90-day mortality between groups (HR 0.94; 95% CI 0.79–1.12; P = 0.474). Albumin infusion was not associated with the renal function recovery (HR 0.91; 95% CI 0.73–1.13; P = 0.393) in either population. Nevertheless, subgroup analysis showed that albumin infusion was distinctly associated with reduced 28-day mortality in patients with age > 60 years. The results need to be validated in more randomized controlled trials.

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Association Between Base Excess and Mortality Among Patients in ICU with Acute Kidney Injury

10.21203/rs.3.rs-746329/v1 ◽

2021 ◽

Author(s):

Yi Cheng ◽

Yuanjun Tang ◽

Boxiang Tu ◽

Xin Cheng ◽

Ran Qi ◽

...

Keyword(s):

Acute Kidney Injury ◽

Medical Information ◽

Proportional Hazards ◽

Base Excess ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Prognostic Indicator ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Icu Patients

Abstract Objective This study aimed to explore the association between base excess (BE) and risk of 30-day mortality among patients with acute kidney injury (AKI) in ICU.Methods This retrospective study including ICU patients with AKI from Medical Information Mart for Intensive Care (MIMIC)-IV database. We used multivariate Cox proportional-hazards model to calculate the hazard ratio (HR) for risk of 30-day mortality among patients with AKI. Furthermore, we utilized Cox proportional-hazard model with restrict cubic splines (RCS) to explore the potential no-linear association. Results Of all the 14238 ICU patients with AKI, BE showed U-shaped relationship with risk of 30-day mortality for patients with AKI, and higher or lower BE value could increase the risk. Compared with normal base excess (-3~3 mmol/L), patients with difference groups (BE ≤ -9mmol/L, -9 mmol/L <BE≤-3 mmol/L, 3 mmol/L <BE≤9 mmol/L and BE＞9 mmol/L) had different HR for mortality: 1.57(1.40,1.76), 1.26(1.14,1.39), 0.97(0.83,1.12), 1.53(1.17,2.02) respectively. And the RCS analyses also showed U-shaped curve between BE and 30-day mortality risk.Conclusion Our results suggest both higher and lower BE in patients with AKI would increase the risk of 30-day mortality. BE measured at administration could be a critical prognostic indicator for ICU patients with AIK and provide guidance for clinicians.

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Association Between Base Excess and Mortality Among Patients in ICU With Acute Kidney Injury

Frontiers in Medicine ◽

10.3389/fmed.2021.779627 ◽

2021 ◽

Vol 8 ◽

Author(s):

Yi Cheng ◽

You Zhang ◽

Boxiang Tu ◽

Yingyi Qin ◽

Xin Cheng ◽

...

Keyword(s):

Acute Kidney Injury ◽

Intensive Care ◽

Medical Information ◽

Proportional Hazards ◽

Base Excess ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Icu Patients

Objective: This study aimed to explore the association between base excess (BE) and the risk of 30-day mortality among patients with acute kidney injury (AKI) in the intensive care unit (ICU).Methods: This retrospective study included patients with AKI from the Medical Information Mart for Intensive Care (MIMIC)-IV database. We used a multivariate Cox proportional-hazards model to obtain the hazard ratio (HR) for the risk of 30-day mortality among patients with AKI. Furthermore, we utilized a Cox proportional-hazard model with restricted cubic splines (RCS) to explore the potential non-linear associations.Results: Among the 14,238 ICU patients with AKI, BE showed a U-shaped relationship with risk of 30-day mortality for patients with AKI, and higher or lower BE values could increase the risk. Compared with normal base excess (−3~3 mEq/L), patients in different groups (BE ≤ −9 mEq/L, −9 mEq/L < BE ≤ −3 mEq/L, 3 mEq/L < BE ≤ 9 mEq/L, and BE > 9 mEq/L) had different HRs for mortality: 1.57 (1.40, 1.76), 1.26 (1.14, 1.39), 0.97 (0.83, 1.12), 1.53 (1.17, 2.02), respectively. The RCS analyses also showed a U-shaped curve between BE and the 30-day mortality risk.Conclusion: Our results suggest that higher and lower BE in patients with AKI would increase the risk of 30-day mortality. BE measured at administration could be a critical prognostic indicator for ICU patients with AKI and provide guidance for clinicians.

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Effect of multiple episodes of acute kidney injury on mortality: an observational study

Clinical Kidney Journal ◽

10.1093/ckj/sfz199 ◽

2020 ◽

Author(s):

Heather Walker ◽

Nicosha De Souza ◽

Simona Hapca ◽

Miles D Witham ◽

Samira Bell

Keyword(s):

Acute Kidney Injury ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Patient Characteristics ◽

Cox Proportional Hazards ◽

Hazard Ratio ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Increased Risk

Abstract Background Patients who survive an episode of acute kidney injury (AKI) are more likely to have further episodes of AKI. AKI is associated with increased mortality, with a further increase with recurrent episodes. It is not clear whether this is due to AKI or as a result of other patient characteristics. The aim of this study was to establish whether recurrence of AKI is an independent risk factor for mortality or if excess mortality is explained by other factors. Methods This observational cohort study included adult people from the Tayside region of Scotland, with an episode of AKI between 1 January 2009 and 31 December 2009. AKI was defined using the creatinine-based Kidney Disease: Improving Global Outcomes definition. Associations between recurrent AKI and mortality were examined using a Cox proportional hazards model. Results Survival was worse in the group identified to have recurrent AKI compared with those with a single episode of AKI [hazard ratio = 1.49, 95% confidence interval (CI) 1.37–1.63; P < 0.001]. After adjustment for comorbidities, stage of reference AKI, sex, age, medicines that predispose to renal impairment or, in the 3 months prior to the reference AKI, deprivation and baseline estimated glomerular filtration rate (eGFR), recurrent AKI was independently associated with an increase in mortality (hazard ratio = 1.25, 95% CI 1.14–1.37; P < 0.001). Increasing stage of reference AKI, age, deprivation, baseline eGFR, male sex, previous myocardial infarction, cerebrovascular disease and diuretic use were all associated with an increased risk of mortality in patients with recurrent AKI. Conclusions Recurrent AKI is associated with increased mortality. After adjusting for patient characteristics, the increase in mortality is independently associated with recurrent AKI and is not solely explained by other risk factors.

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A promising predictor of mortality— A cohort study (Preprint)

10.2196/preprints.28633 ◽

2021 ◽

Author(s):

Ji Ha Ling

Keyword(s):

Intensive Care ◽

Poor Prognosis ◽

Medical Information ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Clinical Biomarker ◽

Secondary Result

UNSTRUCTURED Severe inflammation leads to poor prognosis for intensive care unit hospitalized patients. The is a biomarker used to monitor inflammation and immune response, which can predict poor prognosis of various diseases. However, it is unclear whether NLR is associated with all-cause mortality in ICU patients. This study investigated the correlation between MLR and ICU results. Extract clinical data from Medical Information Mart for Intensive Care III (MIMIC-III) database, which contains health data of more than 50,000 patients. The main result was 30-day mortality, and the secondary result was 90-day mortality. Use the Cox proportional hazards model to reveal the association between MLR and results. Multivariable analyses were used to control for confounders. NLR is a promising clinical biomarker, which can be used as a available predictor of ICU mortality.

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Impact of Colloid Infusion on Outcomes in Patients with Septic Shock

10.21203/rs.3.rs-108277/v1 ◽

2020 ◽

Author(s):

Chenglong Ge ◽

Qianyi Peng ◽

Yuan Jiang ◽

Zhiyong Liu ◽

Wenchao Li ◽

...

Keyword(s):

Septic Shock ◽

Renal Function ◽

Medical Information ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Colloid Solution ◽

Term Survival ◽

Colloid Infusion

Abstract Background: Although colloid solution has been widely used in practice, its impact on mortality in patients with septic shock remains unknown. We evaluated the association of colloid infusion with outcomes in septic shock patients.Methods: Medical Information Mart for Intensive Care (MIMIC)-III was used to identify patients with septic shock. Propensity score matching (PSM) was employed to balance the baseline differences. Cox proportional hazards model, Wilcoxon rank-sum test, and logistic regression were utilized to determine the associations of colloid infusion with mortality, length of stay, and recovery of kidney function, respectively.Results: A total of 4,553 septic shock patients were studied, including 1,158 with colloid infusion, and 3,395 without colloid infusion. After PSM, 1,012 pairs of patients were matched. Significant benefits in the mortality rate were observed in the colloid group compared with the non-colloid group, with the 28-day mortality [hazard ratio (HR) 0.62; 95% confidence interval [CI], 0.52-0.73; P < 0.001], and the 90-day mortality [HR 0.76; 95% CI 0.65-0.88; P < 0.001]. Colloid infusion was not associated with the renal function recovery [HR 1.06; 95% CI 0.87–1.29; P = 0.547] in either population. Nevertheless, subgroup analysis revealed that colloid infusion did not affect the 28-day mortality in people with sepsis of AKI stage 1. In addition, the use of dextran did not decrease the 28-day mortality (HR 1.41; 95% CI 0.19-10.59; P = 0.736). Conclusion: In septic shock patients, colloid infusion (albumin or hydroxyethyl starch) improved short-term survival, but had no clear effect on the recovery of renal function.

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Risk of acute kidney injury in patients with HIV receiving proton pump inhibitors

Journal of Comparative Effectiveness Research ◽

10.2217/cer-2019-0017 ◽

2019 ◽

Vol 8 (10) ◽

pp. 781-790

Author(s):

S Scott Sutton ◽

Joseph Magagnoli ◽

Tammy H Cummings ◽

James W Hardin

Keyword(s):

Acute Kidney Injury ◽

Cohort Study ◽

Proton Pump Inhibitors ◽

Proton Pump ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Increased Risk

Aims/patients & methods: To evaluate the risk of acute kidney injury (AKI) in patients with HIV receiving proton pump inhibitors (PPI) a cohort study was conducted utilizing the Veterans Affairs Informatics and Computing Infrastructure (VINCI) database. Patients were followed from the index date until the earliest date of AKI, 120 days or end of study period, or death. Statistical analyses utilized a Cox proportional hazards model. Results: A total of 21,643 patients (6000 PPI and 15,643 non-PPI) met all study criteria. The PPI cohort had twice the risk of AKI compared with controls (2.12, hazard ratio: 1.46–3.1). Conclusion: A nationwide cohort study supported the relationship of an increased risk of AKI in patients receiving PPIs.

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Diagnostic and prognostic value of presepsin and procalcitonin in non-infectious organ failure, sepsis, and septic shock: a prospective observational study according to the Sepsis-3 definitions

BMC Infectious Diseases ◽

10.1186/s12879-021-07012-8 ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Sukyo Lee ◽

Juhyun Song ◽

Dae Won Park ◽

Hyeri Seok ◽

Sejoong Ahn ◽

...

Keyword(s):

Septic Shock ◽

Organ Failure ◽

Prospective Observational Study ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Sepsis And Septic Shock ◽

Diagnostic And Prognostic Value

Abstract Background We investigated the diagnostic and prognostic value of presepsin among patients with organ failure, including sepsis, in accordance with the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). Methods This prospective observational study included 420 patients divided into three groups: non-infectious organ failure (n = 142), sepsis (n = 141), and septic shock (n = 137). Optimal cut-off values of presepsin to discriminate between the three groups were evaluated using receiver operating characteristic curve analysis. We determined the optimal cut-off value of presepsin levels to predict mortality associated with sepsis and performed Kaplan–Meier survival curve analysis according to the cut-off value. Cox proportional hazards model was performed to determine the risk factors for 30-day mortality. Results Presepsin levels were significantly higher in sepsis than in non-infectious organ failure cases (p < 0.001) and significantly higher in patients with septic shock than in those with sepsis (p = 0.002). The optimal cut-off value of the presepsin level to discriminate between sepsis and non-infectious organ failure was 582 pg/mL (p < 0.001) and between sepsis and septic shock was 1285 pg/mL (p < 0.001). The optimal cut-off value of the presepsin level for predicting the 30-day mortality was 821 pg/mL (p = 0.005) for patients with sepsis. Patients with higher presepsin levels (≥ 821 pg/mL) had significantly higher mortality rates than those with lower presepsin levels (< 821 pg/mL) (log-rank test; p = 0.004). In the multivariate Cox proportional hazards model, presepsin could predict the 30-day mortality in sepsis cases (hazard ratio, 1.003; 95% confidence interval 1.001–1.005; p = 0.042). Conclusions Presepsin levels could effectively differentiate sepsis from non-infectious organ failure and could help clinicians identify patients with sepsis with poor prognosis. Presepsin was an independent risk factor for 30-day mortality among patients with sepsis and septic shock.

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Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01834-1 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Maryam Farhadian ◽

Sahar Dehdar Karsidani ◽

Azadeh Mozayanimonfared ◽

Hossein Mahjub

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Coronary Intervention ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Cerebrovascular Events ◽

Long Term Follow Up ◽

Stent Length

Abstract Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. Methods The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. Results Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01–1.05), diabetes (HR = 2.17, 95% CI 1.29–3.66), smoking (HR = 2.41, 95% CI 1.46–3.98), and stent length (HR = 1.74, 95% CI 1.11–2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. Conclusion Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

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Elevated plasma growth and differentiation factor 15 predicts incident anemia in older adults aged 60 years and older

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa324 ◽

2020 ◽

Author(s):

Yuko Yamaguchi ◽

Marta Zampino ◽

Toshiko Tanaka ◽

Stefania Bandinelli ◽

Yusuke Osawa ◽

...

Keyword(s):

Older Adults ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Differentiation Factor ◽

Hazards Model ◽

Increased Risk ◽

The Relationship

Abstract Background Anemia is common in older adults and associated with greater morbidity and mortality. The causes of anemia in older adults have not been completely characterized. Although elevated circulating growth and differentiation factor 15 (GDF-15) has been associated with anemia in older adults, it is not known whether elevated GDF-15 predicts the development of anemia. Methods We examined the relationship between plasma GDF-15 concentrations at baseline in 708 non-anemic adults, aged 60 years and older, with incident anemia during 15 years of follow-up among participants in the Invecchiare in Chianti (InCHIANTI) Study. Results During follow-up, 179 (25.3%) participants developed anemia. The proportion of participants who developed anemia from the lowest to highest quartile of plasma GDF-15 was 12.9%, 20.1%, 21.2%, and 45.8%, respectively. Adults in the highest quartile of plasma GDF-15 had an increased risk of developing anemia (Hazards Ratio 1.15, 95% Confidence Interval 1.09, 1.21, P<.0001) compared to those in the lower three quartiles in a multivariable Cox proportional hazards model adjusting for age, sex, serum iron, soluble transferrin receptor, ferritin, vitamin B12, congestive heart failure, diabetes mellitus, and cancer. Conclusions Circulating GDF-15 is an independent predictor for the development of anemia in older adults.

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Dementia Adjudication Triggers Associated With Increased Mortality for Older Australians: Evidence From ASPREE

Innovation in Aging ◽

10.1093/geroni/igaa057.523 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 161-161

Author(s):

Jane Banaszak-Holl ◽

Xiaoping Lin ◽

Jing Xie ◽

Stephanie Ward ◽

Henry Brodaty ◽

...

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

The Elderly ◽

Cox Proportional Hazards ◽

Service Planning ◽

Cox Proportional Hazards Model ◽

Cognitive Test ◽

Risk Of Death ◽

Hazards Model ◽

Using Data

Abstract Research Aims: This study seeks to understand whether those with dementia experience higher risk of death, using data from the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial study. Methods: ASPREE was a primary intervention trial of low-dose aspirin among healthy older people. The Australian cohort included 16,703 dementia-free participants aged 70 years and over at enrolment. Participants were triggered for dementia adjudication if cognitive test results were poorer than expected, self-reporting dementia diagnosis or memory problems, or dementia medications were detected. Incidental dementia was adjudicated by an international adjudication committee using the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV) criteria and results of a neuropsychological battery and functional measures with medical record substantiation. Statistical analyses used a cox proportional hazards model. Results: As previously reported, 1052 participants (5.5%) died during a median of 4.7 years of follow-up and 964 participants had a dementia trigger, of whom, 575 (60%) were adjucated as having dementia. Preliminary analyses has shown that the mortality rate was higher among participants with a dementia trigger, regardless of dementia adjudication outcome, than those without (15% vs 5%, Χ2 = 205, p <.001). Conclusion: This study will provide important analyses of differences in the hazard ratio for mortality and causes of death among people with and without cognitive impairment and has important implications on service planning.

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