scholarly journals Course of Lactate, pH and Base Excess for Prediction of Mortality in Medical Intensive Care Patients

2021 ◽  
Author(s):  
Anja Schork ◽  
Kathrin Moll ◽  
Michael Haap ◽  
Reimer Riessen ◽  
Robert Wagner
Keyword(s):  
Intensive Care ◽  
Base Excess ◽  
Risk Group ◽  
Hazard Ratio ◽  
Standard Deviation Increase ◽  
Icu Patients ◽  
Predictors Of Mortality ◽  
Prediction Of Mortality ◽  
Maximum Minimum ◽  
Maximum Lactate

Abstract Introduction: As base excess (BE) had shown superiority over lactate as a prognostic parameter in intensive care unit (ICU) surgical patients we aimed to evaluate course of lactate, base excess and pH for prediction of mortality of medical ICU patients. Materials and Methods: For lactate, pH and base excess, values at the admission to ICU, at 24 ± 4 hours, maximum / minimum in the first 24 hours and in 24 – 48 hours after admission were collected from all patients admitted to the Medical ICU of the University Hospital Tübingen between January 2016 until December 2018 and investigated for prediction of in-hospital-mortality. Results: Mortality in the cohort of 4067 patients was 22 % and significantly correlated with all evaluated parameters. Strongest predictors of mortality determined by ROC were maximum lactate in 24 h (AUROC 0.74, cut off 2.7 mmol/L, hazard ratio of risk group with value > cut off 3.20) and minimum pH in 24 h (AUROC 0.71, cut off 7.31, hazard ratio for risk group 2.94). Kaplan Meier Curves stratified across these cut offs showed early and clear separation. Hazard ratios per standard deviation increase were highest for maximum lactate in 24 h (HR 1.65), minimum base excess in 24 h (HR 1.56) and minimum pH in 24 h (HR 0.75). In multiple logistic regression analysis, age, minimum pH in 24 h, pH at 24 h after admission, maximum lactate in 24 h, maximum lactate in 24 – 48 h, minimum base excess in 24 h and minimum base excess in 24 – 48 h were independent predictors of mortality. Discussion: Lactate, pH and base excess were all suitable predictors of mortality in internal ICU patients, with maximum / minimum values in 24 and 24-48 h after admission altogether stronger predictors than values at admission. Base excess and pH were not superior to lactate for prediction of mortality.

scholarly journals Course of lactate, pH and base excess for prediction of mortality in medical intensive care patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261564
Author(s):  
Anja Schork ◽  
Kathrin Moll ◽  
Michael Haap ◽  
Reimer Riessen ◽  
Robert Wagner
Keyword(s):  
Intensive Care ◽  
Base Excess ◽  
Risk Group ◽  
Hazard Ratio ◽  
University Hospital ◽  
Standard Deviation Increase ◽  
Icu Patients ◽  
Predictors Of Mortality ◽  
Prediction Of Mortality ◽  
Maximum Lactate

Introduction As base excess had shown superiority over lactate as a prognostic parameter in intensive care unit (ICU) surgical patients we aimed to evaluate course of lactate, base excess and pH for prediction of mortality of medical ICU patients. Materials and methods For lactate, pH and base excess, values at the admission to ICU, at 24 ± 4 hours, maximum or minimum in the first 24 hours and in 24–48 hours after admission were collected from all patients admitted to the Medical ICU of the University Hospital Tübingen between January 2016 until December 2018 (N = 4067 at admission, N = 1715 with ICU treatment > 48 h) and investigated for prediction of in-hospital-mortality. Results Mortality was 22% and significantly correlated with all evaluated parameters. Strongest predictors of mortality determined by ROC were maximum lactate in 24 h (AUROC 0.74, cut off 2.7 mmol/L, hazard ratio of risk group with value > cut off 3.20) and minimum pH in 24 h (AUROC 0.71, cut off 7.31, hazard ratio for risk group 2.94). Kaplan Meier Curves stratified across these cut offs showed early and clear separation. Hazard ratios per standard deviation increase were highest for maximum lactate in 24 h (HR 1.65), minimum base excess in 24 h (HR 1.56) and minimum pH in 24 h (HR 0.75). Conclusion Lactate, pH and base excess were all suitable predictors of mortality in internal ICU patients, with maximum / minimum values in 24 and 24–48 h after admission altogether stronger predictors than values at admission. Base excess and pH were not superior to lactate for prediction of mortality.

scholarly journals Course of Lactate, pH and Base Excess for Prediction of Mortality in Medical Intensive Care Patients - A Retrospective Cohort Analysis

2020 ◽  
Author(s):  
Anja Schork ◽  
Kathrin Moll ◽  
Michael Haap ◽  
Reimer Riessen ◽  
Robert Wagner
Keyword(s):  
Intensive Care ◽  
Base Excess ◽  
Risk Group ◽  
Hazard Ratio ◽  
Predictors Of Mortality ◽  
Intensive Care Patients ◽  
Prediction Of Mortality ◽  
Medical Intensive Care ◽  
Maximum Minimum ◽  
Maximum Lactate

Abstract Background: We aimed to evaluate the value of lactate, base excess and pH for prediction of mortality in the course of the disease of medical intensive care patients. Methods: For lactate, pH and base excess, values at the admission to intensive care unit (ICU), at 24 ± 4 hours, maximum / minimum in the first 24 hours and in 24 – 48 hours after admission were collected from all patients admitted to the Medical ICU of the University Hospital Tübingen between January 2016 until December 2018 and investigated for prediction of in-hospital-mortality.Results: Mortality in the cohort of 4067 patients was 22 % and significantly correlated with all evaluated parameters. Strongest predictors of mortality determined by ROC were maximum lactate in 24 h (AUROC 0.74, cut off 2.7 mmol/L, hazard ratio of risk group with value > cut off 2.27) and minimum pH in 24 h (AUROC 0.71, cut off 7.43, hazard ratio for risk group 2.94). Kaplan Meier Curves stratified across these cut offs showed early and clear separation. Hazard ratios per standard deviation were highest for maximum lactate in 24 h (HR 1.65), minimum base excess in 24 h (HR 1.56) and minimum pH in 24 h (HR 0.75). In multiple logistic regression analysis, age, minimum pH in 24 h, pH at 24 h after admission, maximum lactate in 24 h, maximum lactate in 24 – 48 h, minimum base excess in 24 h and minimum base excess in 24 – 48 h were independent predictors of mortality. Conclusions: Lactate, pH and base excess were all suitable predictors of mortality in internal ICU patients, with maximum / minimum values in 24 and 24-48 h after admission altogether stronger predictors than values at admission. Base excess and pH were not superior to lactate for prediction of mortality.

Factors Associated with Risk and Prognosis of Intensive Care Unit Admission in Patients with Acute Myeloid Leukemia: A Danish Nationwide Cohort Study

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4783-4783
Author(s):  
Cecilie Velsoe Maeng ◽  
Christian Fynbo Christiansen ◽  
Kathleen Dori Liu ◽  
Lene Sofie Granfeldt Oestgaard
Keyword(s):  
Intensive Care ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Risk Group ◽  
Remission Induction ◽  
First Year ◽  
Icu Patients ◽  
Icu Admission ◽  
Increased Risk ◽  
Acute Myeloid

Significance Patients with acute myeloid leukemia (AML) are at high risk of critical illness requiring admission to the intensive care unit (ICU) due to both disease- and treatment-related complications. A better understanding of risk factors for ICU admission and prognosis may help with prevention of life-threatening complications and informed decision-making when treating AML patients. Methods This study included all adult Danish AML patients, who received remission-induction chemotherapy alone or in combination with allogeneic stem cell transplantation from 2005 to 2016. The cohort was identified using the Danish Acute Leukemia Registry (DNLR) and information on ICU admission was obtained from the Danish Intensive Care Database. We examined risk of ICU admission within 1 and 3 years of diagnosis considering competing risk of death and investigated a number of possible risk factors for ICU admission. We computed 1-, 3-, and 5-year mortality from time of ICU admission and in the matched non-ICU comparison group using a risk set matching (1:1) on time since diagnosis, sex, and age. Finally, we used the pseudo-value approach to compute the relative risk (RR) of death in the ICU admitted cohort compared to the matched cohort. We adjusted for ECOG/WHO performance status (PS), year of diagnosis, cytogenetic risk group, number of comorbidities, and secondary/therapy-related AML. Results A total of 1383 AML patients were included in the study. The median follow-up time was 1.65 (IQR: 0.60-4.36) years. The risk of ICU admission within 1 year of AML diagnosis was 22.7%, and the risk within 3 years was 28.1%. Median time to ICU was 59 (IQR: 15-272) days. Male sex was associated with increased risk of ICU admission after 1 year (adjusted RR: 1.26, 95% CI: 1.01-1.57) and PS >1 was associated with an increased risk after both 1 year (adjusted RR: 1.74, 95% CI: 1.33-1.30) and 3 years (adjusted RR: 1.54, 95% CI: 1.22-1.96). Other factors listed in Table 1 (age, comorbidity, cytogenetic risk group, secondary or therapy-related AML, and year of diagnosis) were not associated with increased risk of ICU admission. In AML patients admitted to the ICU, the 1-year mortality from time of ICU admission was 69.2%, compared to a 1-year mortality rate of 31.0% in the matched non-ICU patients (adjusted RR: 3.25, 95% CI: 2.56-4.12). Long-term mortality was increased in ICU patients; 3-year mortality was 82.1% compared to 49.7% (adjusted RR: 2.43, 95% CI: 1.97-3.01), and the 5-year mortality was 83.1% compared to 60.6%, (adjusted RR: 2.12, 95% CI: 1.70-2.66). Conclusion In this national population-based cohort study, more than one fourth of AML patients treated with remission-induction chemotherapy were admitted to an ICU within 3 years of diagnosis with the majority of ICU admissions occurring within the first year. ICU admission was associated with high mortality, especially within the first year after admission. The risk of mortality decreased over time but remained increased 3 and 5 years after admission compared to the matched cohort. Early monitoring and management of high-risk patients may be effective in preventing ICU admissions and PS may serve as a possible tool to identify patients at high risk of ICU admission. Disclosures No relevant conflicts of interest to declare.

scholarly journals Staphylococcus aureusNasal Colonization and Subsequent Infection in Intensive Care Unit Patients: Does Methicillin Resistance Matter?

2010 ◽  
Vol 31 (6) ◽  
pp. 584-591 ◽  
Author(s):  
Hitoshi Honda ◽  
Melissa J. Krauss ◽  
Craig M. Coopersmith ◽  
Marin H. Kollef ◽  
Amy M. Richmond ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Confidence Interval ◽  
Methicillin Resistance ◽  
Hazard Ratio ◽  
Adjusted Hazard Ratio ◽  
Patient Specific ◽  
Icu Patients ◽  
Icu Admission

Background.Staphylococcus aureusis an important cause of infection in intensive care unit (ICU) patients. Colonization with methicillin-resistantS. aureus(MRSA) is a risk factor for subsequentS. aureusinfection. However, MRSA-colonized patients may have more comorbidities than methicillin-susceptibleS. aureus(MSSA)-colonized or noncolonized patients and therefore may be more susceptible to infection on that basis.Objective.To determine whether MRSA-colonized patients who are admitted to medical and surgical ICUs are more likely to develop anyS. aureusinfection in the ICU, compared with patients colonized with MSSA or not colonized withS. aureus,independent of predisposing patient risk factors.Design.Prospective cohort study.Setting.A 24-bed surgical ICU and a 19-bed medical ICU of a 1,252-bed, academic hospital.Patients.A total of 9,523 patients for whom nasal swab samples were cultured forS. aureusat ICU admission during the period from December 2002 through August 2007.Methods.Patients in the ICU for more than 48 hours were examined for an ICU-acquired S.aureusinfection, defined as development ofS. aureusinfection more than 48 hours after ICU admission.Results.S. aureuscolonization was present at admission for 1,433 (27.8%) of 5,161 patients (674 [47.0%] with MRSA and 759 [53.0%] with MSSA). An ICU-acquiredS. aureusinfection developed in 113 (2.19%) patients, of whom 75 (66.4%) had an infection due to MRSA. Risk factors associated with an ICU-acquiredS. aureusinfection included MRSA colonization at admission (adjusted hazard ratio, 4.70 [95% confidence interval, 3.07-7.21]) and MSSA colonization at admission (adjusted hazard ratio, 2.47 [95% confidence interval, 1.52-4.01]).Conclusion.ICU patients colonized with S.aureuswere at greater risk of developing aS. aureusinfection in the ICU. Even after adjusting for patient-specific risk factors, MRSA-colonized patients were more likely to developS. aureusinfection, compared with MSSA-colonized or noncolonized patients.

scholarly journals P0628CREATININE-CYSTATIN C RATIO IS ASSOCIATED WITH MORTALITY IN ICU PATIENTS UNDERGOING CONTINUOUS RENAL REPLACEMENT THERAPY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Chan-Young Jung ◽  
Wonji Jo ◽  
Jaeyoung Kim ◽  
Jung Tak Park
Keyword(s):  
Intensive Care ◽  
Renal Replacement Therapy ◽  
Serum Creatinine ◽  
Continuous Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Muscle Mass ◽  
Cystatin C ◽  
Kidney Injury ◽  
Icu Patients ◽  
Prediction Of Mortality

Abstract Background and Aims Development of acute kidney injury (AKI) in intensive care patients considerably increases the risk of mortality. Although several factors that are related to outcome have been recognized in this patient group, stratifying mortality risk still remains a challenge. While serum creatinine levels are confounded by muscle wasting in critical illness, cystatin C is expected to be less modulated by muscle mass. Speculating that the ratio between serum creatinine and cystatin C may reflect muscle mass in critically ill AKI patients, we evaluated the association between creatinine-cystatin C ratio and mortality in patients requiring continuous renal replacement therapy (CRRT) in the intensive care unit (ICU). Method Retrospective analyses were conducted on 443 ICU patients who underwent CRRT between August 2009 and October 2016 at Severance Hospital of Yonsei University Health System, Seoul, South Korea. The patients were divided into four groups based on creatinine-cystatin C ratio at the time of CRRT commencement. The primary outcome was 90-day mortality after CRRT initiation. Results The mean age was 64 ± 15 years, and 57.3% of patients were male. The most common cause of AKI was sepsis. The median and range of the creatinine-cystatin C ratio was 0.83 (0.13-6.20). The 90-day mortality rate for each creatinine-cystatin C ratio quartiles 1, 2, 3, and 4 were 76.6%, 73.9%, 61.3%, and 51.8%, respectively. Multiple Cox proportional hazard models revealed that the creatinine-cystatin C ratio was an independent predictor of 90-day mortality even after adjusting for confounding factors (Hazard ratio, 0.97; 95% confidence interval, 0.95-0.99, P<0.01). The prediction of mortality was significantly improved when creatinine-cystatin C ratio was considered compared to APACHE-II or SOFA scores alone. Conclusion Creatinine-cystatin C ratio is associated with mortality in ICU patients undergoing CRRT, and may be a practical marker in predicting survival among ICU patients with AKI.

scholarly journals C-reactive protein as a predictor of mortality in patients affected with severe sepsis in intensive care unit

2012 ◽  
Vol 7 ◽  
Author(s):  
Özkan Devran ◽  
Zuhal Karakurt ◽  
Nalan Adıgüzel ◽  
Gökay Güngör ◽  
Özlem Yazıcıoğlu Moçin ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Severe Sepsis ◽  
Intensive Care ◽  
Mortality Rate ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Icu Patients ◽  
Predictors Of Mortality ◽  
Reactive Protein ◽  
Chest Disease

Background: Severe sepsis is a primary cause of morbidity and mortality in the intensive care unit (ICU). Numerous biomarkers have been assessed to predict outcome and CRP is widely used. However, the relevance for mortality risk of the CRP level and the day when it is measured have not been well studied. We aimed to assess whether initial and/or third dayCRP values are as good predictors of mortality in ICU patients with severe sepsis as other well-known complex predictors of mortality, i.e., SOFA scores. Methods: An observational cohort study was performed in a 20-bed respiratory ICU in a chest disease center. Patients with severe sepsis due to respiratory disease were enrolled in the study. SOFA scores, CRP values on admission and on the third day of hospital stay, and mortality rate were recorded. ROC curves for SOFA scores and CRP values were calculated. Results: The study included 314 ICU patients with sepsis admitted between January 2009 and March 2010. The mortality rate was 14.2% (n = 45). The area under the curve (AUC) for CRP values and SOFA scores on admission and on the 3rd day in ICU were calculated as 0.57 (CI: 0.48-0.66); 0.72 (CI: 0.63-0.80); 0.72 (CI: 0.64-0.81); and 0.76 (CI: 0.67-0.86), respectively. Sepsis due to nosocomial infection, a CRP value > 100 mg/L and higher SOFA scores on 3rd day, were found to be risk factors for mortality (odds ratio [OR]: 3.76, confidence interval [CI]: 1.68-8.40, p < 0.001, OR: 2.70, CI: 1.41-2.01, p < 0.013, and OR: 1.68, CI: 1.41-2.01, p < 0.0001, respectively). Conclusions: The risk of sepsis related mortality appears to be increased when the 3rd day CRP value is greater than 100 mg/dL. Thus, CRP appears to be as valuable a predictor of mortality as the SOFA score.

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

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 &lt; BE ≤ −3 mEq/L, 3 mEq/L &lt; BE ≤ 9 mEq/L, and BE &gt; 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.

scholarly journals Efficacy of Corticosteroids in Non-Intensive Care Unit Patients with COVID-19 Pneumonia from the New York Metropolitan region

2020 ◽  
Author(s):  
Monil Majmundar ◽  
Tikal Kansara ◽  
Joanna Marta Lenik ◽  
Hansang Park ◽  
Kuldeep Ghosh ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Primary Outcome ◽  
Hazard Ratio ◽  
Adjusted Hazard Ratio ◽  
Composite Outcome ◽  
Icu Patients ◽  
Icu Transfer ◽  
Primary Composite Outcome ◽  
Over Time

AbstractIntroductionThe role of systemic corticosteroid as a therapeutic agent for patients with COVID-19 pneumonia is controversial.ObjectiveThe purpose of this study was to evaluate the effect of corticosteroids in non-intensive care unit (ICU) patients with COVID-19 pneumonia complicated by acute hypoxemic respiratory failure (AHRF).MethodsThis was a single-center retrospective cohort study, comprising of 205 patients admitted to the general wards with COVID-19 pneumonia. The primary outcome was a composite of ICU transfer, intubation, or in-hospital mortality. Cox-proportional hazard regression was implemented.ResultAmong 205 patients, 60 (29.27%) were treated with corticosteroid. The mean age was ∼57 years, and ∼75% were men. Thirteen patients (22.41%) developed a primary composite outcome in the corticosteroid cohort vs. 54 (37.5%) patients in the non-corticosteroid cohort (P=0.039). The adjusted hazard ratio (HR) for the development of the composite primary outcome was 0.15 (95% CI, 0.07 – 0.33; P <0.001). The adjusted hazard ratio for ICU transfer was 0.16 (95% CI, 0.07 to 0.34; P < 0.001), intubation was 0.31 (95% CI, 0.14 to 0.70; P – 0.005), death was 0.53 (95% CI, 0.22 to 1.31; P – 0.172), and discharge was 3.65 (95% CI, 2.20 to 6.06; P<0.001). The corticosteroid cohort had increasing SpO2/FiO2 over time compared to the non-corticosteroid cohort who experience decreasing SpO2/FiO2 over time.ConclusionAmong non-ICU patients hospitalized with COVID-19 pneumonia complicated by AHRF, treatment with corticosteroid was associated with a significantly lower risk of the primary composite outcome of ICU transfer, intubation, or in-hospital death.

Sign in / Sign up

Export Citation Format

Share Document