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.

Outcomes of Critically Ill Gynecological Cancer Patients Admitted to Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Silvio A. Ñamendys-Silva ◽  
María O. González-Herrera ◽  
Julia Texcocano-Becerra ◽  
Angel Herrera-Gómez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Gynecological Cancer ◽  
Apache Ii ◽  
Apache Ii Score

Purpose: To assess the characteristics of critically ill patients with gynecological cancer, and to evaluate their prognosis. Methods: Fifty-two critically ill patients with gynecological cancer admitted to intensive care unit (ICU) were included. Univariate and multivariate logistic regressions were used to identify factors associated with hospital mortality. Results: Thirty-five patients (67.3%) had carcinoma of the cervix uteri and 11 (21.2%) had ovarian cancer. The mortality rate in the ICU was 17.3% (9 of 52) and hospital mortality rate were 23%(12 of 52). In the multivariate analysis, independent prognostic factors for hospital mortality were vasopressor use (odds ratio [OR] = 8.60, 95% confidence interval [CI] 2.05-36; P = .03) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR = 1.43, 95% CI 1.01-2.09; P = .048). Conclusions: The independent prognostic factors for hospital mortality were the need for vasopressors and the APACHE II score.

scholarly journals Elevated serum galectin-1 concentrations are associated with increased risks of mortality and acute kidney injury in critically ill patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257558
Author(s):  
Ruey-Hsing Chou ◽  
Chuan-Tsai Tsai ◽  
Ya-Wen Lu ◽  
Jiun-Yu Guo ◽  
Chi-Ting Lu ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Medical Center ◽  
Elevated Serum ◽  
Kidney Injury ◽  
The Body ◽  
Icu Admission ◽  
Increased Risk

Background Galectin-1 (Gal-1), a member of the β-galactoside binding protein family, is associated with inflammation and chronic kidney disease. However, the effect of Gal-1 on mortality and acute kidney injury (AKI) in critically-ill patients remain unclear. Methods From May 2018 to March 2020, 350 patients admitted to the medical intensive care unit (ICU) of Taipei Veterans General Hospital, a tertiary medical center, were enrolled in this study. Forty-one patients receiving long-term renal replacement therapy were excluded. Serum Gal-1 levels were determined within 24 h of ICU admission. The patients were divided into tertiles according to their serum Gal-1 levels (low, serum Gal-1 < 39 ng/ml; median, 39–70 ng/ml; high, ≥71 ng/ml). All patients were followed for 90 days or until death. Results Mortality in the ICU and at 90 days was greater among patients with elevated serum Gal-1 levels. In analyses adjusted for the body mass index, malignancy, sepsis, Sequential Organ Failure Assessment (SOFA) score, and serum lactate level, the serum Gal-1 level remained an independent predictor of 90-day mortality [median vs. low: adjusted hazard ratio (aHR) 2.11, 95% confidence interval (CI) 1.24–3.60, p = 0.006; high vs. low: aHR 3.21, 95% CI 1.90–5.42, p < 0.001]. Higher serum Gal-1 levels were also associated with a higher incidence of AKI within 48 h after ICU admission, independent of the SOFA score and renal function (median vs. low: aHR 2.77, 95% CI 1.21–6.34, p = 0.016; high vs. low: aHR 2.88, 95% CI 1.20–6.88, p = 0.017). The results were consistent among different subgroups with high and low Gal-1 levels. Conclusion Serum Gal-1 elevation at the time of ICU admission were associated with an increased risk of mortality at 90 days, and an increased incidence of AKI within 48 h after ICU admission.

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.

scholarly journals Insulin therapy for hyperglycemia in critically ill patients

2016 ◽  
Vol 53 (5) ◽  
pp. 250
Author(s):  
Julianti Julianti ◽  
Silvia Triratna ◽  
Aditiawati Aditiawati ◽  
Irfanuddin Irfanuddin
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Blood Glucose ◽  
Mortality Rate ◽  
Insulin Therapy ◽  
Critically Ill ◽  
Organ Dysfunction ◽  
Critically Ill Patients ◽  
Therapy Group ◽  
Control Group

Background Hyperglycemia in critically ill patients is associated with higher mortality. Insulin therapy may improve outcomes, not only by preventing deleterious effects of hyperglycemia, but by improving the molecular dynamics in organ dysfunction.Objectives To assess the effects of insulin therapy on critically ill patients in an intensive care unit (ICU) setting and the risk of hypoglycemia.Methods An open-label, clinical trial was conducted in the Pediatric Intensive Care Unit (PICU) of Dr. Moh. Hoesin Hospital, Palembang, from November 2011 to March 2012. Subjects were consecutively assigned to receive either regular insulin at a dose of 0.05 U/kg/h if the blood glucose level reached >200 mg%, or standard therapy (control group). Blood glucose levels were measured hourly until they reached 80-110 mg%. Dose adjustments were made when the blood glucose level reached 145 mg%, by reducing the insulin dose to 0.025 U/kg/h. Outcomes of therapy were measured by Pediatric Logistic Organ Dysfunction (PELOD) score improvement, mortality rate and the occurrence of hypoglycemia.Results Forty subjects were enrolled in this study, with 20 subjects assigned to the insulin therapy group and 20 subjects to the standard therapy group. Two subjects, one from each group, were not included in the final analysis due to their deaths within 24 hours. There was no significant difference in distribution of PELOD scores before intervention between the groups (OR=0.5; 95%CI 0.1 to 1.9, P=0.32). However, after intervention, the PELOD scores was significantly lower in insulin therapy group compared to control group (OR 0.2; 95% CI 0.05 to 0.8, P=0.02). In the insulin group after intervention, fewer subjects had scores >20.5 and more subjects had scores ≤20.5, indicated a lower risk of organ dysfunction. There was also a significantly lower mortality rate in the insulin group compared to the control group (OR 0.2; 95% CI 0.05 to 0.8, P=0.02). None of the subjects suffered hypoglycemia.Conclusion Insulin is beneficial in improving organ dysfunction and decreasing mortality for critically ill patients.

scholarly journals Prognostic value of hematocrit levels among critically ill patients with acute kidney injury

2019 ◽  
Vol 17 ◽  
pp. 205873921984682
Author(s):  
Ying Zhou ◽  
Ming-Hua Zheng ◽  
Chao-Sheng Chen ◽  
Dan-Qin Sun ◽  
Xin-Xin Chen ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Prognostic Value ◽  
Univariate Analysis ◽  
Kidney Injury ◽  
Inverse Association ◽  
Risk Of Mortality ◽  
Increased Risk

The aim of this study was to investigate the value of hematocrit (HCT) level in predicting the outcomes of critically ill patients with acute kidney injury (AKI). A retrospective study of a total of 14,350 intensive care unit (ICU) patients, who were selected from Beth Israel Deaconess Medical Center (Boston, MA, USA) and met the inclusion criteria, was carried out. And the patient data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care Database III version 1.3 (MIMIC-III v1.3). In our study, HCT quintiles were used to categorize the subjects into groups. The clinical outcomes were 30- and 90-day mortality in the ICU. Cox proportional-hazards models were used to evaluate the association between the HCT and survival. A total of 2827 30-day deaths and 3828 90-day deaths occurred. In univariate analysis, low HCT was significantly associated with increased 30- and 90-day mortality among females, which, however, was not observed in multivariate analysis adjusted for age, ethnicity, dialysate, continuous renal replacement therapy (CRRT), use of insulin, use of ventilator, AKI stages, and report of obesity. In subgroup analysis, an inverse association between HCT levels and risk of mortality for 90-day outcome was observed for female patients by exclusion of dialysate use, receiving CRRT, and obesity reports. Therefore, these findings suggest that lower HCT was associated with an increased risk of mortality in critically ill patients with AKI, and the effect appears to be stronger among women than men. The prognostic value of HCT seems dependent on other factors, for example, dialysate use, CRRT, and obesity. Further multicenter study is in demand to confirm the validity of the results presented in this article.

scholarly journals Invasive Blood Pressure Measurement and In-hospital Mortality in Critically Ill Patients With Hypertension

2021 ◽  
Vol 8 ◽  
Author(s):  
Bin Zhou ◽  
Liang-Ying Lin ◽  
Xiao-Ai Liu ◽  
Ye-Sheng Ling ◽  
Yuan-Yuan Zhang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Confidence Interval ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Odds Ratio ◽  
Invasive Blood Pressure

Background: Invasive blood pressure (IBP) measurement is common in the intensive care unit, although its association with in-hospital mortality in critically ill patients with hypertension is poorly understood.Methods and Results: A total of 11,732 critically ill patients with hypertension from the eICU-Collaborative Research Database (eICU-CRD) were enrolled. Patients were divided into 2 groups according to whether they received IBP. The primary outcome in this study was in-hospital mortality. Propensity score matching (PSM) and inverse probability of treatment weighing (IPTW) models were used to balance the confounding covariates. Multivariable logistic regression was used to evaluate the association between IBP measurement and hospital mortality. The IBP group had a higher in-hospital mortality rate than the no IBP group in the primary cohort [238 (8.7%) vs. 581 (6.5%), p &lt; 0.001]. In the PSM cohort, the IBP group had a lower in-hospital mortality rate than the no IBP group [187 (8.0%) vs. 241 (10.3%), p = 0.006]. IBP measurement was associated with lower in-hospital mortality in the PSM cohort (odds ratio, 0.73, 95% confidence interval, 0.59–0.92) and in the IPTW cohort (odds ratio, 0.81, 95% confidence interval, 0.67–0.99). Sensitivity analyses showed similar results in the subgroups with high body mass index and no sepsis.Conclusions: In conclusion, IBP measurement was associated with lower in-hospital mortality in critically ill patients with hypertension, highlighting the importance of IBP measurement in the intensive care unit.

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

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.

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