Mid-regional pro-adrenomedullin predicts poor outcome in non-selected patients admitted to an intensive care unit

2019 ◽  
Vol 57 (4) ◽  
pp. 549-555 ◽  
Author(s):  
Chiara Bellia ◽  
Luisa Agnello ◽  
Bruna Lo Sasso ◽  
Giulia Bivona ◽  
Maurizio Santi Raineri ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Area Under The Curve ◽  
Scoring Systems ◽  
Simplified Acute Physiology Score ◽  
Icu Admission ◽  
Open Issue ◽  
The One

Abstract Background Mortality risk and outcome in critically ill patients can be predicted by scoring systems, such as APACHE and SAPS. The identification of prognostic biomarkers, simple to measure upon admission to an intensive care unit (ICU) is an open issue. The aim of this observational study was to assess the prognostic value of plasma mid-regional pro-adrenomedullin (MR-proADM) at ICU admission in non-selected patients in comparison to Acute Physiology and Chronic Health Evaluation II (APACHEII) and Simplified Acute Physiology Score II (SAPSII) scores. Methods APACHEII and SAPSII scores were calculated after 24 h from ICU admission. Plasma MR-proADM levels were measured by TRACE-Kryptor on admission (T0) and after 24 h (T24). The primary endpoint was intra-hospital mortality; secondary endpoint was length of stay (LOS). Results One hundred and twenty-six consecutive non-selected patients admitted to an ICU were enrolled. Plasma MR-proADM levels were correlated with LOS (r=0.28; p=0.0014 at T0; r=0.26; p=0.005 at T24). Multivariate analysis showed that T0 MR-proADM was a significant predictor of mortality (odds ratio [OR]: 1.27; 95% confidence interval [95%CI]: 1.03–1.55; p=0.022). Receiver operating characteristic curves analysis revealed that MR-proADM on ICU admission identified non-survivors with high accuracy, not inferior to the one of APACHEII and SAPSII scores (area under the curve [AUC]: 0.71; 95%CI: 0.62–0.78; p=0.0002 for MR-proADM; AUC: 0.71; 95%CI: 0.62–0.79; p<0.0001 for APACHEII; AUC: 0.8; 95%CI: 0.71–0.87; p<0.0001 for SAPSII). Conclusions Our findings point out a role of MR-proADM as a prognostic tool in non-selected patients in ICUs being a reliable predictor of mortality and LOS and support its use on admission to an ICU to help the management of critically ill patients.

scholarly journals Nephrotoxic drug burden among 1001 critically ill patients: impact on acute kidney injury

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Stephan Ehrmann ◽  
◽  
Julie Helms ◽  
Aurélie Joret ◽  
Laurent Martin-Lefevre ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Drug Prescription ◽  
Kidney Injury ◽  
Simplified Acute Physiology Score ◽  
Severity Of Disease ◽  
Lower Severity

Abstract Background Nephrotoxic drug prescription may contribute to acute kidney injury (AKI) occurrence and worsening among critically ill patients and thus to associated morbidity and mortality. The objectives of this study were to describe nephrotoxic drug prescription in a large intensive-care unit cohort and, through a case–control study nested in the prospective cohort, to evaluate the link of nephrotoxic prescription burden with AKI. Results Six hundred and seventeen patients (62%) received at least one nephrotoxic drug, among which 303 (30%) received two or more. AKI was observed in 609 patients (61%). A total of 351 patients were considered as cases developing or worsening AKI a given index day during the first week in the intensive-care unit. Three hundred and twenty-seven pairs of cases and controls (patients not developing or worsening AKI during the first week in the intensive-care unit, alive the case index day) matched on age, chronic kidney disease, and simplified acute physiology score 2 were analyzed. The nephrotoxic burden prior to the index day was measured in drug.days: each drug and each day of therapy increasing the burden by 1 drug.day. This represents a semi-quantitative evaluation of drug exposure, potentially easy to implement by clinicians. Nephrotoxic burden was significantly higher among cases than controls: odds ratio 1.20 and 95% confidence interval 1.04–1.38. Sensitivity analysis showed that this association between nephrotoxic drug prescription in the intensive-care unit and AKI was predominant among the patients with lower severity of disease (simplified acute physiology score 2 below 48). Conclusions The frequently observed prescription of nephrotoxic drugs to critically ill patients may be evaluated semi-quantitatively through computing drug.day nephrotoxic burden, an index significantly associated with subsequent AKI occurrence, and worsening among patients with lower severity of disease.

scholarly journals Clinical characteristics and outcomes of patients with heart failure admitted to the intensive care unit with coronavirus disease 2019 (COVID19): a multicenter cohort study

2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
H Badreldin ◽  
DR Hafidh ◽  
DR Bin Saleh ◽  
DR Al Sulaiman ◽  
DR Al Juhani ◽  
...  
Keyword(s):  
Heart Failure ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Clinical Characteristics ◽  
P Value ◽  
Heart Failure Patients ◽  
Icu Admission ◽  
Patients With Heart Failure

Abstract Funding Acknowledgements Type of funding sources: None. Background Patients with heart failure in the setting of COVID-19 requiring admission to the intensive care unit may present a set of unique challenges. There is limited data to describe the clinical characteristics and outcomes in this subset of the patient population. Purpose The study"s purpose was to extensively describe the characteristics and outcomes of heart failure patients admitted to the intensive care unit with COVID-19 compared to non-heart failure patients . Methods We conducted a multicenter, prospective analysis for all adult critically ill patients with heart failure admitted to intensive care units (ICUs) between March 1 to August 31, 2020, with an objectively confirmed diagnosis of COVID-19. Results A total of 723 critically ill patients with COVID-19 had been admitted in ICUs, 59 patients with heart failure, and 664 patients with no heart failure before ICU admission. Heart failure patients had significantly more comorbid conditions such as diabetes mellitus, hypertension, dyslipidemia, atrial fibrillation, and acute coronary syndrome. Higher baseline severity scores (APACHE II & SOFA score) and nutritional risk (NUTRIC Score) were observed in heart failure patients. Also, heart failure patients had more acute kidney injury during ICU admission and required more mechanical ventilation within 24 hours of ICU admission. Patients with heart failure had a similar incidence of thrombosis compared to patients with no heart failure. Critically ill patients with COVID-19 and heart failure had similar ICU length of stay (LOS), mechanical ventilation duration, and hospital LOS compared to patients with no heart failure. During ICU stay, patients with heart failure had more in-hospital and ICU deaths in comparison to the non-heart failure group (64.3% vs. 44.6%, P-value &lt;0.01) and (54.5% vs. 39%, P-value = 0.02) respectively. Conclusion In this observational study evaluating the clinical characteristics and outcomes of critically ill COVID-19 patients with heart failure, patients with COVID-19 and heart failure had similar ICU LOS, duration of MV and hospital LOS, thrombosis rate compared to patients with no heart failure. However, during ICU stay, patients with heart failure had more in-hospital and ICU deaths than the non-heart failure group.

scholarly journals Factors contributing to delay intensive care unit admission of critically ill patients from the adult emergency Department in Tikur Anbessa Specialized Hospital

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Helen Teklie ◽  
Hywet Engida ◽  
Birhanu Melaku ◽  
Abdata Workina
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Intensive Care Unit Admission ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Transfer Time ◽  
Multivariate Logistic Regression ◽  
Icu Admission ◽  
Specialized Hospital

Abstract Background The transfer time for critically ill patients from the emergency department (ED) to the Intensive care unit (ICU) must be minimal; however, some factors prolong the transfer time, which may delay intensive care treatment and adversely affect the patient’s outcome. Purpose To identify factors affecting intensive care unit admission of critically ill patients from the emergency department. Patients and methods A cross-sectional study design was conducted from January 13 to April 12, 2020, at the emergency department of Tikur Anbesa Specialized Hospital. All critically ill patients who need intensive care unit admission during the study period were included in the study. A pretested structured questionnaire was adapted from similar studies. The data were collected by chart review and observation. Then checked data were entered into Epi-data version 4.1 and cleaned data was exported to SPSS Version 25 for analysis. Descriptive statistics, bivariate and multivariate logistic regression were used to analyze the data. Result From the total of 102 critically ill patients who need ICU admission 84.3% of them had prolonged lengths of ED stay. The median length of ED stay was 13.5 h with an IQR of 7–25.5 h. The most common reasons for delayed ICU admission were shortage of ICU beds 56 (65.1%) and delays in radiological examination results 13(15.1%). On multivariate logistic regression p < 0.05 male gender (AOR = 0.175, 95% CI: (0.044, 0.693)) and shortage of ICU bed (AOR = 0.022, 95% CI: (0.002, 0.201)) were found to have a significant association with delayed intensive care unit admission. Conclusion there was a delay in ICU admission of critically ill patients from the ED. Shortage of ICU bed and delay in radiological investigation results were the reasons for the prolonged ED stay.

Intensive Care Unit prioritization: The impact of ICU bed availability on mortality in critically ill patients who requested ICU admission in court in a Brazilian cohort

2021 ◽  
Vol 66 ◽  
pp. 126-131
Author(s):  
Ana Cristina Santos ◽  
Simone Luzia Fidelis de Oliveira ◽  
Virgílio Luiz Marques Macedo ◽  
Paula Lauane Araujo ◽  
Francine Salapata Fraiberg ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Icu Admission ◽  
The Impact ◽  
Brazilian Cohort

scholarly journals Epidemiology, outcomes, and utilization of intensive care unit resources for critically ill COVID-19 patients in Libya: A prospective multi-center cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0251085
Author(s):  
Muhammed Elhadi ◽  
Ahmed Alsoufi ◽  
Abdurraouf Abusalama ◽  
Akram Alkaseek ◽  
Saedah Abdeewi ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Univariate Analysis ◽  
The Body ◽  
Icu Admission ◽  
Risk Of Mortality

Background The coronavirus disease (COVID-19) pandemic has severely affected African countries, specifically the countries, such as Libya, that are in constant conflict. Clinical and laboratory information, including mortality and associated risk factors in relation to hospital settings and available resources, about critically ill patients with COVID-19 in Africa is not available. This study aimed to determine the mortality and morbidity of COVID-19 patients in intensive care units (ICU) following 60 days after ICU admission, and explore the factors that influence in‐ICU mortality rate. Methods This is a multicenter prospective observational study among COVID-19 critical care patients in 11 ICUs in Libya from May 29th to December 30th 2020. Basic demographic data, clinical characteristics, laboratory values, admission Sequential Organ Failure Assessment (SOFA) score, quick SOFA, and clinical management were analyzed. Result We included 465 consecutive COVID-19 critically ill patients. The majority (67.1%) of the patients were older than 60 years, with a median (IQR) age of 69 (56.5–75); 240 (51.6%) were male. At 60 days of follow-up, 184 (39.6%) were discharged alive, while 281 (60.4%) died in the intensive care unit. The median (IQR) ICU length of stay was 7 days (4–10) and non-survivors had significantly shorter stay, 6 (3–10) days. The body mass index was 27.9 (24.1–31.6) kg/m2. At admission to the intensive care unit, quick SOFA median (IQR) score was 1 (1–2), whereas total SOFA score was 6 (4–7). In univariate analysis, the following parameters were significantly associated with increased/decreased hazard of mortality: increased age, BMI, white cell count, neutrophils, procalcitonin, cardiac troponin, C-reactive protein, ferritin, fibrinogen, prothrombin, and d-dimer levels were associated with higher risk of mortality. Decreased lymphocytes, and platelet count were associated with higher risk of mortality. Quick SOFA and total SOFA scores increase, emergency intubation, inotrope use, stress myocardiopathy, acute kidney injury, arrythmia, and seizure were associated with higher mortality. Conclusion Our study reported the highest mortality rate (60.4%) among critically ill patients with COVID-19 60 days post-ICU admission. Several factors were found to be predictive of mortality, which may help to identify patients at risk of mortality during the ongoing COVID-19 pandemic.

scholarly journals Intensive Care Unit Scoring Systems

2021 ◽  
Vol 41 (4) ◽  
pp. 54-64
Author(s):  
Tiffany Purcell Pellathy ◽  
Michael R. Pinsky ◽  
Marilyn Hravnak
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Critically Ill ◽  
Organ Dysfunction ◽  
Critically Ill Patients ◽  
Scoring Systems ◽  
Multiple Organ Dysfunction Score ◽  
Severity Scoring ◽  
Logistic Organ Dysfunction

Background Illness severity scoring systems are commonly used in critical care. When applied to the populations for whom they were developed and validated, these tools can facilitate mortality prediction and risk stratification, optimize resource use, and improve patient outcomes. Objective To describe the characteristics and applications of the scoring systems most frequently applied to critically ill patients. Methods A literature search was performed using MEDLINE to identify original articles on intensive care unit scoring systems published in the English language from 1980 to 2020. Search terms associated with critical care scoring systems were used alone or in combination to find relevant publications. Results Two types of scoring systems are most frequently applied to critically ill patients: those that predict risk of in-hospital mortality at the time of intensive care unit admission (Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score, and Mortality Probability Models) and those that assess and characterize current degree of organ dysfunction (Multiple Organ Dysfunction Score, Sequential Organ Failure Assessment, and Logistic Organ Dysfunction System). This article details these systems’ differing features and timing of use, score calculation, patient populations, and comparative performance data. Conclusion Critical care nurses must be aware of the strengths, limitations, and specific characteristics of severity scoring systems commonly used in intensive care unit patients to effectively employ these tools in clinical practice and critically appraise research findings based on their use.

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