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

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

Scientific Reports ◽

10.1038/s41598-021-03122-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Chenglong Ge ◽

Qianyi Peng ◽

Wei Chen ◽

Wenchao Li ◽

Lina Zhang ◽

...

Keyword(s):

Septic Shock ◽

Acute Kidney Injury ◽

Medical Information ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Albumin Infusion ◽

Hazards Model

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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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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Survival analysis of elderly patients in Intensive Care Units

Revista Brasileira de Geriatria e Gerontologia ◽

10.1590/1981-22562017020.160131 ◽

2017 ◽

Vol 20 (2) ◽

pp. 197-205 ◽

Cited By ~ 2

Author(s):

Diego Bonfada ◽

Marquiony Marques dos Santos ◽

Kenio Costa Lima ◽

Anna Garcia-Altés

Keyword(s):

Intensive Care ◽

Elderly Patients ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Icu Patients ◽

Hazards Model ◽

Health Care Network ◽

The City

Abstract Objective: Conduct a survival analysis of elderly patients hospitalized in an intensive care unit (ICU), identifying the predictors of mortality among this age group. Methods: A retrospective cohort study was performed with data from the medical records of 457 elderly patients hospitalized in an ICU located in the city of Natal in Brazil. Survival functions were estimated using the Kaplan-Meier estimator, and the Log-rank test was used for comparisons. In addition, a multiple Cox proportional hazards model was constructed to identify the independent effects of the predictors of survival. Results: It was found that the survival of elderly ICU patients declined due to factors such as increased hospitalization time, advancing years, unmarried (including common-law-marriage) status, the presence of shock, pneumonia, septicaemia, fractures, a reduced state of consciousness, hospitalization for clinical reasons, being bedridden prior to hospitalization, fever, bradycardia, hypotension, cardiac arrest and the need for mechanical ventilation. The multiple Cox proportional hazards model revealed that variables such as shock, longevity, bradycardia, fractures, fever, hospitalization in the public healthcare system and admission for clinical reasons remained significant as predictors of reduced survival in intensive care units. Conclusions: The survival rates of elderly persons in an ICU in the city of Natal in Brazil were affected by demographic and clinical predictors, and those related to the type of hospitalization and the health care network. This shows that any initiative aimed at increasing the survival of elderly ICU patients must look at individual and social issues and factors related to the health care network.

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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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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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Characteristics and Survival of Intensive Care Unit Patients with Coronavirus Disease in Osaka, Japan: A Retrospective Observational Study

Journal of Clinical Medicine ◽

10.3390/jcm10112477 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2477

Author(s):

Ling Zha ◽

Tomotaka Sobue ◽

Taro Takeuchi ◽

Kenta Tanaka ◽

Yusuke Katayama ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Multivariable Model ◽

Icu Patients ◽

Hazards Model ◽

Osaka Prefecture

The epidemiological and clinical characteristics, treatments, and outcomes of patients with coronavirus disease 2019 (COVID-19) who are admitted to the intensive care unit (ICU) have not been adequately evaluated in Japan. We analyzed the registry data of 205 patients with COVID-19 admitted to the ICU between February and November 2020, in Osaka Prefecture, Japan. A Cox proportional hazards model was used to assess the association between epidemiological factors and mortality among ICU patients. Of the 205 ICU patients, 161 (78.5%) were men and 149 (72.7%) were older than 60 years. A total of 117 patients (57.1%) had comorbidities. The most common symptoms at diagnosis were mild (n = 131, 63.9%). A total of 187 patients (91.2%) received mechanical ventilation, and 32 patients (15.6%) required extracorporeal membrane oxygenation. Patients were followed up for a median of 25 days after ICU admission. A total of 147 patients (71.7%) were alive at discharge, and 58 patients (28.3%) died. The hazard ratio for mortality among patients aged >80 years was 6.02 (95% confidence interval: 2.10−17.25) in the multivariable model, which was higher than that among those aged ≤59 years. These results are useful for recognizing the clinical course of this infection in ICU patients.

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Association of FIB-4 index and clinical outcomes in critically ill patients with acute kidney injury: a cohort study

BMC Gastroenterology ◽

10.1186/s12876-021-02071-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Yi-Yi Shi ◽

Rui Zheng ◽

Jie-Jie Cai ◽

Zheng-Dong Fang ◽

Wen-Jing Chen ◽

...

Keyword(s):

Acute Kidney Injury ◽

Clinical Outcomes ◽

Critically Ill ◽

Critically Ill Patients ◽

Proportional Hazards Model ◽

Kidney Injury ◽

Continuous Variable ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

The Relationship

Abstract Background The relationship between fibrosis-4 (FIB-4) index and clinical outcomes in patients with acute kidney injury (AKI) is unclear. We aimed to investigate the association between FIB-4 index and all-cause mortality in critically ill patients with AKI. Methods We used data from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) database (v1.4). The FIB-4 score was calculated using the existing formulas. logistic regression model, and Cox proportional hazards model were used to assessed the relationship between the FIB-4 index and in-hospital,28-day and 90-day mortality, respectively. Results A total of 3592 patients with AKI included in the data analysis. 395 (10.99%) patients died during hospitalization and 458 (12.74%) patients died in 28-day. During the 90-day follow-up, 893 (22.54%) patients were dead. An elevated FIB-4 value was significantly associated with increased in-hospital mortality when used as a continuous variable (odds ratio [OR] 1.183, 95% confidence interval [CI] 1.072–1.305, P = 0.002) and as a quartile variable (OR of Q2 to Q4 1.216–1.744, with Q1 as reference). FIB-4 was positively associated with 28-day mortality of AKI patients with hazard ratio (HR) of 1.097 (95% CI 1.008, 1.194) and 1.098 (95% 1.032, 1.167) for 90-day mortality, respectively. Conclusion This study demonstrated the FIB-4 index is associated with clinical outcomes in critically ill patients with acute kidney injury.

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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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Outcomes of Older Adults With Sepsis at Admission to an Intensive Care Unit

Open Forum Infectious Diseases ◽

10.1093/ofid/ofw010 ◽

2016 ◽

Vol 3 (1) ◽

Cited By ~ 8

Author(s):

Theresa Rowe ◽

Katy L. B. Araujo ◽

Peter H. Van Ness ◽

Margaret A. Pisani ◽

Manisha Juthani-Mehta

Keyword(s):

Older Adults ◽

Intensive Care Unit ◽

Intensive Care ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Icu Admission ◽

Baseline Characteristics ◽

The Impact

Abstract Background. Sepsis is a major cause of morbidity and mortality among older adults. The main goals of this study were to assess the association of sepsis at intensive care unit (ICU) admission with mortality and to identify predictors associated with increased mortality in older adults. Methods. We conducted a prospective cohort study of 309 participants ≥60 years admitted to an ICU. Sepsis was defined as 2 of 4 systemic inflammatory response syndrome criteria plus a documented infection within 2 calendar days before or after admission. The main outcome measure was time to death within 1 year of ICU admission. Sepsis was evaluated as a predictor for mortality in a Cox proportional hazards model. Results. Of 309 participants, 196 (63%) met the definition of sepsis. Among those admitted with and without sepsis, 75 (38%) vs 20 (18%) died within 1 month of ICU admission (P < .001) and 117 (60%) vs 48 (42%) died within 1 year (P < .001). When adjusting for baseline characteristics, sepsis had a significant impact on mortality (hazard ratio [HR] = 1.80; 95% confidence interval [CI], 1.28–2.52; P < .001); however, after adjusting for baseline characteristics and process covariates (antimicrobials and vasopressor use within 48 hours of admission), the impact of sepsis on mortality became nonsignificant (HR = 1.26; 95% CI, .87–1.84; P = .22). Conclusions. The diagnosis of sepsis in older adults upon ICU admission was associated with an increase in mortality compared with those admitted without sepsis. After controlling for early use of antimicrobials and vasopressors for treatment, the association of sepsis with mortality was reduced.

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