scholarly journals Circulating dipeptidyl peptidase 3 on intensive care unit admission is a predictor of organ dysfunction and mortality

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Attila Frigyesi ◽  
Maria Lengquist ◽  
Martin Spångfors ◽  
Martin Annborn ◽  
Tobias Cronberg ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care ◽  
Organ Dysfunction ◽  
Characteristic Curve ◽  
Dipeptidyl Peptidase ◽  
Entire Group ◽  
Blood Samples ◽  
Saps 3 ◽  
Dipeptidyl Peptidase 3

Abstract Background Our aim was to investigate the prognostic potential of circulating dipeptidyl peptidase 3 (cDPP3) to predict mortality and development of organ dysfunction in a mixed intensive care unit (ICU) population, and for this reason, we analysed prospectively collected admission blood samples from adult ICU patients at four Swedish hospitals. Blood samples were stored in a biobank for later batch analysis. The association of cDPP3 levels with 30-day mortality and Sequential Organ Failure Assessment (SOFA) scores on day two was investigated before and after adjustment for the simplified acute physiology score III (SAPS-3), using multivariable (ordinal) logistic regression. The predictive power of cDPP3 was assessed using the area under the receiver operating characteristic curve (AUROC). Results Of 1978 included consecutive patients in 1 year (2016), 632 fulfilled the sepsis 3-criteria, 190 were admitted after cardiac arrest, and 157 because of trauma. Admission cDPP3 was independently (of SAPS-3) associated with 30-day mortality with odds ratios of 1.45 (95% confidence interval (CI) 1.28–1.64) in the entire ICU population, 1.30 (95% CI 1.08–1.57) in the sepsis subgroup and 2.28 (95% CI 1.50–3.62) in cardiac arrest. For trauma, there was no clear association. Circulating DPP3 alone was a moderate predictor of 30-day mortality with AUROCs of 0.68, 0.62, and 0.72 in the entire group, the sepsis subgroup, and the cardiac arrest subgroup, respectively. By adding cDPP3 to SAPS-3, AUROC improved for the entire group, the sepsis subgroup, and the cardiac arrest subgroup (p = 0.023). Conclusion Circulating DPP3 on admission is a SAPS-3 independent prognostic factor of day-two organ dysfunction and 30-day mortality in a mixed ICU population and needs further evaluation.

scholarly journals Copeptin levels are associated with organ dysfunction and death in the intensive care unit after out-of-hospital cardiac arrest

Critical Care ◽  
2015 ◽  
Vol 19 (1) ◽  
Author(s):  
Giuseppe Ristagno ◽  
◽  
Roberto Latini ◽  
Mario Plebani ◽  
Martina Zaninotto ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care ◽  
Organ Dysfunction ◽  
Hospital Cardiac Arrest

scholarly journals Surviving cardiac arrest: What happens after admission to the intensive care unit?

2021 ◽  
Author(s):  
Raquel Menezes Fernandes ◽  
Daniel Nuñez ◽  
Nuno Marques ◽  
Cláudia Camila Dias ◽  
Cristina Granja
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care

scholarly journals The use of score for neonatal acute physiology perinatal extention II (SNAPPE II) in predicting neonatal outcome in neonatal intensive care unit

2016 ◽  
Vol 45 (6) ◽  
pp. 241
Author(s):  
Mia R A ◽  
Risa Etika ◽  
Agus Harianto ◽  
Fatimah Indarso ◽  
Sylviati M Damanik
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Characteristic Curve ◽  
Newborn Care ◽  
Scoring Systems ◽  
Laboratory Observation ◽  
The Mean ◽  
Overall Mortality

Background Scoring systems which quantify initial risks have animportant role in aiding execution of optimum health services by pre-dicting morbidity and mortality. One of these is the score for neonatalacute physiology perinatal extention (SNAPPE), developed byRichardson in 1993 and simplified in 2001. It is derived of 6 variablesfrom the physical and laboratory observation within the first 12 hoursof admission, and 3 variables of perinatal risks of mortality.Objectives To assess the validity of SNAPPE II in predicting mor-tality at neonatal intensive care unit (NICU), Soetomo Hospital,Surabaya. The study was also undertaken to evolve the best cut-offscore for predicting mortality.Methods Eighty newborns were admitted during a four-month periodand were evaluated with the investigations as required for the specifi-cations of SNAPPE II. Neonates admitted >48 hours of age or afterhaving been discharged, who were moved to lower newborn care <24hours and those who were discharged on request were excluded. Re-ceiver operating characteristic curve (ROC) were constructed to derivethe best cut-off score with Kappa and McNemar Test.Results Twenty eight (35%) neonates died during the study, 22(82%) of them died within the first six days. The mean SNAPPE IIscore was 26.3+19.84 (range 0-81). SNAPPE II score of thenonsurvivors was significantly higher than the survivors(42.75+18.59 vs 17.4+14.05; P=0.0001). SNAPPE II had a goodperformance in predicting overall mortality and the first-6-daysmortality, with area under the ROC 0.863 and 0.889. The best cut-off score for predicting mortality was 30 with sensitivity 81.8%,specificity 76.9%, positive predictive value 60.0% and negativepredictive value 90.0%.Conclusions SNAPPE II is a measurement of illness severity whichcorrelates well with neonatal mortality at NICU, Soetomo Hospital.The score of more than 30 is associated with higher mortality

scholarly journals Increased Risk of Death, in the Hospital and Outside the Intensive Care Unit, for Patients With Cirrhosis After Cardiac Arrest

2017 ◽  
Vol 15 (11) ◽  
pp. 1808-1810 ◽  
Author(s):  
Megan E. Reinders ◽  
Gabriel Wardi ◽  
Ricki Bettencourt ◽  
Daniel Bouland ◽  
Jessica Bazick ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care ◽  
Risk Of Death ◽  
Increased Risk

Cardiopulmonary resuscitation: special considerations for infants and children with cardiac disease

2007 ◽  
Vol 17 (S4) ◽  
pp. 116-126 ◽  
Author(s):  
Stacie B. Peddy ◽  
Mary Fran Hazinski ◽  
Peter C. Laussen ◽  
Ravi R. Thiagarajan ◽  
George M. Hoffman ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care ◽  
Cardiopulmonary Resuscitation ◽  
Intensive Care Units ◽  
Cardiac Disease ◽  
Paediatric Intensive Care ◽  
Cardiac Intensive Care Unit ◽  
Cardiac Intensive Care ◽  
Paediatric Intensive Care Units

AbstractPulseless cardiac arrest, defined as the cessation of cardiac mechanical activity, determined by unresponsiveness, apneoa, and the absence of a palpable central pulse, accounts for around one-twentieth of admissions to paediatric intensive care units, be they medical or exclusively cardiac. Such cardiac arrest is higher in children admitted to a cardiac as opposed to a paediatric intensive care unit, but the outcome of these patients is better, with just over two-fifths surviving when treated in the cardiac intensive care unit, versus between one-sixth and one-quarter of those admitted to paediatric intensive care units. Children who receive chest compressions for bradycardia with pulses have a significantly higher rate of survival to discharge, at 60%, than do those presenting with pulseless cardiac arrest, with only 27% surviving to discharge. This suggests that early resuscitation before the patient becomes pulseless, along with early recognition and intervention, are likely to improve outcomes. Recently published reports of in-hospital cardiac arrests in children can be derived from the multi-centric National Registry of Cardiopulmonary Resuscitation provided by the American Heart Association. The population is heterogeneous, but most arrests occurred in children with progressive respiratory insufficiency, and/or progressive circulatory shock. During the past 4 years at the Children’s Hospital of Philadelphia, 3.1% of the average 1000 annual admissions to the cardiac intensive care unit have received cardiopulmonary resuscitation. Overall survival of those receiving cardiopulmonary resuscitation was 46%. Survival was better for those receiving cardiopulmonary resuscitation after cardiac surgery, at 53%, compared with survival of 33% for pre-operative or non-surgical patients undergoing resuscitation. Clearly there is room for improvement in outcomes from cardiac resuscitation in children with cardiac disease. In this review, therefore, we summarize the newest developments in paediatric resuscitation, with an expanded focus upon the unique challenges and importance of anticipatory care in infants and children with cardiac disease.

scholarly journals COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e051468
Author(s):  
David van Klaveren ◽  
Alexandros Rekkas ◽  
Jelmer Alsma ◽  
Rob J C G Verdonschot ◽  
Dick T J J Koning ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Outcome Prediction ◽  
Characteristic Curve ◽  
Hospital Death ◽  
Hospital Data ◽  
Dutch Hospital ◽  
Icu Admission ◽  
Second Wave

ObjectivesDevelop simple and valid models for predicting mortality and need for intensive care unit (ICU) admission in patients who present at the emergency department (ED) with suspected COVID-19.DesignRetrospective.SettingSecondary care in four large Dutch hospitals.ParticipantsPatients who presented at the ED and were admitted to hospital with suspected COVID-19. We used 5831 first-wave patients who presented between March and August 2020 for model development and 3252 second-wave patients who presented between September and December 2020 for model validation.Outcome measuresWe developed separate logistic regression models for in-hospital death and for need for ICU admission, both within 28 days after hospital admission. Based on prior literature, we considered quickly and objectively obtainable patient characteristics, vital parameters and blood test values as predictors. We assessed model performance by the area under the receiver operating characteristic curve (AUC) and by calibration plots.ResultsOf 5831 first-wave patients, 629 (10.8%) died within 28 days after admission. ICU admission was fully recorded for 2633 first-wave patients in 2 hospitals, with 214 (8.1%) ICU admissions within 28 days. A simple model—COVID outcome prediction in the emergency department (COPE)—with age, respiratory rate, C reactive protein, lactate dehydrogenase, albumin and urea captured most of the ability to predict death. COPE was well calibrated and showed good discrimination for mortality in second-wave patients (AUC in four hospitals: 0.82 (95% CI 0.78 to 0.86); 0.82 (95% CI 0.74 to 0.90); 0.79 (95% CI 0.70 to 0.88); 0.83 (95% CI 0.79 to 0.86)). COPE was also able to identify patients at high risk of needing ICU admission in second-wave patients (AUC in two hospitals: 0.84 (95% CI 0.78 to 0.90); 0.81 (95% CI 0.66 to 0.95)).ConclusionsCOPE is a simple tool that is well able to predict mortality and need for ICU admission in patients who present to the ED with suspected COVID-19 and may help patients and doctors in decision making.

scholarly journals Comparison of urine albumin creatinine ratio with the pediatric index of mortality 2 score for prediction of pediatric intensive care unit outcomes

2021 ◽  
Author(s):  
Shifa Nismath ◽  
Suchetha S. Rao ◽  
B. S. Baliga ◽  
Vaman Kulkarni ◽  
Gayatri M. Rao
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Pediatric Intensive Care Unit ◽  
Characteristic Curve ◽  
Pediatric Intensive Care ◽  
Creatinine Ratio ◽  
Albumin Creatinine Ratio ◽  
Urine Albumin ◽  
Urine Albumin Creatinine Ratio ◽  
Pediatric Index Of Mortality

Abstract Background Predicting morbidity and mortality in a pediatric intensive care unit (PICU) is of extreme importance to make precise decisions for better outcomes. Aim We compared the urine albumin creatinine ratio (ACR) with the established PICU score, pediatric index of mortality 2 (PIM 2) for predicting PICU outcomes. Methods This cross-sectional study enrolled 67 patients admitted to PICU with systemic inflammatory response syndrome. Urine ACR was estimated on admission, and PIM 2 score was calculated. ACR was compared with PIM 2 for PICU outcome measures: the need for inotropes, development of multiple organ dysfunction syndrome (MODS), duration of PICU stay, and survival. Results Microalbuminuria was found in 77.6% of patients with a median ACR of 80 mg/g. ACR showed a significant association with the need for inotropes (p < 0.001), MODS (p = 0.001), and significant correlation to PICU stay (p 0.001, rho = 0.361). The area under the receiver operating characteristic curve for ACR (0.798) was comparable to that of PIM 2 (0.896). The cutoff value of ACR derived to predict mortality was 110 mg/g. The study subjects were divided into 2 groups: below cutoff and above the cutoff. Outcome variables, inotrope use, MODS, mortality, and PICU stay compared between these subgroups, were statistically significant. Conclusion ACR is a good predictor of PICU outcomes and is comparable to PIM 2 for mortality prediction.

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