Have Severity Scores a Place in Predicting Septic Complications in ICU Multiple Trauma Patients?
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Sepsis 6/08/2012
Version 2.3 Sepsis 6/08/2012 Introduction • Common ED presentation. • 2% of hospitalisations • Significant hospital mortality if shock: 23-46%. Role of Emergency Physicians • ~33% patients with sepsis admitted through the ED. • “Golden hour" may be critical concept • ED Sepsis Education Program and Strategies to Improve Survival (ED-SEPSIS) Working Group 2004 EBM guidelines (updated in January 2008) Definition of Sepsis Syndromes and Organ Failure Sepsis = Systemic inflammatory response syndrome (SIRS) during an infection. Need ≥2 from: • Temperature > 38°C or < 36°C • HR >90bpm (>160 infants, >150 children) • Respiratory Rate (RR) > 20 breaths/min or PaCO 2<32mmHg • WBC>12x10 9/L or <4x10 9/L (or >10% immature bands) Infection without SIRS = Suspected infection without SIRS criteria. Severe sepsis = Sepsis and organ dysfunction or hypoperfusion: • Neurologic: New altered mental status; • Hematologic: plt<100x10 6/L; Coagulopathies i.e INR >1.5; APTT >60 secs • Renal: Cr>44.2µmol/L w/o CRF; or ↑11.1µmol/L; acute oliguria (<0.5mL/kg/hr) for ≥2hr despite fluid resuscitation • Pulmonary: RR>20; SaO2<90% or <94%+O2/mech vent; PaO 2/FIO 2<300 • GI: Ileus; absent bowel sounds; hyperbilirubinemia (total bilirubin >70mmol/L) • Cardiovascular: Septic shock Septic shock. Sepsis and refractory hypotension - BP sys <90 mmHg (<75mmHg child, <65mmHg infants), MAP<65mmHg, or BP sys ↓40mmHg from baseline; unresponsive to fluid (20-40ml/kg) Assessment History – risk factors (age, M>F, immune status, EtOH dependence, malignancy, indwelling catheter, prosthetics), contacts, likely source. Premorbid state/medical history. Examination – Vitals, signs of SIRS/sepsis as above, focal signs of infection Investigations Beside: Urinalysis (& send for MC&S), BSL, ABG + serial lactate (for 2h clearance) - Blood: FBC ( ↓Hb, ↓Hct, ↑↓ WCC+diff, ↓plt), UEC ( ↑Cr, ↓HCO 3 ), ↑LFT, gluc, ↑coags, ± D-dimers & FDPs, Procalcitonin, CRP, CK, cultures Imaging: CXR, ±AXR, CT as indicated. -
Infection Related Catheter Complications in Patients
Louis et al. BMC Infectious Diseases (2021) 21:534 https://doi.org/10.1186/s12879-021-06197-2 RESEARCH Open Access Infection related catheter complications in patients undergoing prone positioning for acute respiratory distress syndrome: an exposed/unexposed study Guillaume Louis1* , Thibaut Belveyre1†, Audrey Jacquot2†, Hélène Hochard3, Nejla Aissa4, Antoine Kimmoun2, Christophe Goetz5, Bruno Levy2 and Emmanuel Novy1 Abstract Background: Prone positioning (PP) is a standard of care for patients with moderate–severe acute respiratory distress syndrome (ARDS). While adverse events associated with PP are well-documented in the literature, research examining the effect of PP on the risk of infectious complications of intravascular catheters is lacking. Method: All consecutive ARDS patients treated with PP were recruited retrospectively over a two-year period and formed the exposed group. Intensive care unit (ICU) patients during the same period without ARDS for whom PP was not conducted but who had an equivalent disease severity were matched 1:1 to the exposed group based on age, sex, centre, length of ICU stay and SAPS II (unexposed group). Infection-related catheter complications were defined by a composite criterion, including catheter tip colonization or intravascular catheter-related infection. Results: A total of 101 exposed patients were included in the study. Most had direct ARDS (pneumonia). The median [Q1–Q3] PP session number was 2 [1–4]. These patients were matched with 101 unexposed patients. The mortality rates of the exposed and unexposed groups were 31 and 30%, respectively. The incidence of the composite criterion was 14.2/1000 in the exposed group compared with 8.2/1000 days in the control group (p = 0.09). -
The Association Between Four Scoring Systems and 30-Day Mortality Among Intensive Care Patients with Sepsis
www.nature.com/scientificreports OPEN The association between four scoring systems and 30‑day mortality among intensive care patients with sepsis: a cohort study Tianyang Hu 1,4, Huajie Lv2,4 & Youfan Jiang3* Several commonly used scoring systems (SOFA, SAPS II, LODS, and SIRS) are currently lacking large sample data to confrm the predictive value of 30‑day mortality from sepsis, and their clinical net benefts of predicting mortality are still inconclusive. The baseline data, LODS score, SAPS II score, SIRS score, SOFA score, and 30‑day prognosis of patients who met the diagnostic criteria of sepsis were retrieved from the Medical Information Mart for Intensive Care III (MIMIC‑III) intensive care unit (ICU) database. Receiver operating characteristic (ROC) curves and comparisons between the areas under the ROC curves (AUC) were conducted. Decision curve analysis (DCA) was performed to determine the net benefts between the four scoring systems and 30‑day mortality of sepsis. For all cases in the cohort study, the AUC of LODS, SAPS II, SIRS, SOFA were 0.733, 0.787, 0.597, and 0.688, respectively. The diferences between the scoring systems were statistically signifcant (all P‑values < 0.0001), and stratifed analyses (the elderly and non‑elderly) also showed the superiority of SAPS II among the four systems. According to the DCA, the net beneft ranges in descending order were SAPS II, LODS, SOFA, and SIRS. For stratifed analyses of the elderly or non‑elderly groups, the results also showed that SAPS II had the most net beneft. Among the four commonly used scoring systems, the SAPS II score has the highest predictive value for 30‑day mortality from sepsis, which is better than LODS, SIRS, and SOFA. -
Secondary Stroke in Patients with Polytrauma and Traumatic Brain Injury Treated in an Intensive Care Unit, Karlovac General Hosp
Injury, Int. J. Care Injured 46S (2015) S31–S35 Contents lists available at ScienceDirect Injury jo urnal homepage: www.elsevier.com/locate/injury Secondary stroke in patients with polytrauma and traumatic brain injury treated in an Intensive Care Unit, Karlovac General Hospital, Croatia a b a a c a,d, M. Belavic´ , E. Jancˇic´ , P. Misˇkovic´ , A. Brozovic´-Krijan , B. Bakota , J. Zˇunic´ * a ˇ Department of Anaesthesiology, Reanimatology and Intensive Medicine, Karlovac General Hospital, Andrije Stampara 3, 47000 Karlovac, Croatia b ˇ Department of Neurology, Karlovac General Hospital, Andrije Stampara 3, 47000 Karlovac, Croatia c Orthopaedics and Traumatology Department, Our Lady of Lourdes Hospital, Drogheda, Co. Louth, Ireland d Karlovac University of Applied Sciences, Trg Josipa Jurja Strossmayera 9, 47000 Karlovac, Croatia A R T I C L E I N F O A B S T R A C T Keywords: Traumatic brain injury (TBI) is divided into primary and secondary brain injury. Primary brain injury Traumatic brain injury occurs at the time of injury and is the direct consequence of kinetic energy acting on the brain tissue. Intracranial pressure Secondary brain injury occurs several hours or days after primary brain injury and is the result of factors Cerebral including shock, systemic hypotension, hypoxia, hypothermia or hyperthermia, intracranial hyperten- Perfusion sion, cerebral oedema, intracranial bleeding or inflammation. The aim of this retrospective analysis of a Mean arterial pressure prospective database was to determine the prevalence of secondary stroke and stroke-related mortality, Secondary Stroke causes of secondary stroke, treatment and length of stay in the ICU and hospital. -
Validation of APACHE II, APACHE III and SAPS II Scores in In-Hospital
Czajka et al. BMC Anesthesiology (2020) 20:296 https://doi.org/10.1186/s12871-020-01203-7 RESEARCH ARTICLE Open Access Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: a cohort study Szymon Czajka1* , Katarzyna Ziębińska2, Konstanty Marczenko2, Barbara Posmyk2, Anna J. Szczepańska1 and Łukasz J. Krzych1 Abstract Background: There are several scores used for in-hospital mortality prediction in critical illness. Their application in a local scenario requires validation to ensure appropriate diagnostic accuracy. Moreover, their use in assessing post- discharge mortality in intensive care unit (ICU) survivors has not been extensively studied. We aimed to validate APACHE II, APACHE III and SAPS II scores in short- and long-term mortality prediction in a mixed adult ICU in Poland. APACHE II, APACHE III and SAPS II scores, with corresponding predicted mortality ratios, were calculated for 303 consecutive patients admitted to a 10-bed ICU in 2016. Short-term (in-hospital) and long-term (12-month post- discharge) mortality was assessed. Results: Median APACHE II, APACHE III and SAPS II scores were 19 (IQR 12–24), 67 (36.5–88) and 44 (27–56) points, with corresponding in-hospital mortality ratios of 25.8% (IQR 12.1–46.0), 18.5% (IQR 3.8–41.8) and 34.8% (IQR 7.9–59.8). Observed in-hospital mortality was 35.6%. Moreover, 12-month post-discharge mortality reached 17.4%. All the scores predicted in-hospital mortality (p < 0.05): APACHE II (AUC = 0.78; 95%CI 0.73–0.83), APACHE III (AUC = 0.79; 95%CI 0.74– 0.84) and SAPS II (AUC = 0.79; 95%CI 0.74–0.84); as well as mortality after hospital discharge (p < 0.05): APACHE II (AUC = 0.71; 95%CI 0.64–0.78), APACHE III (AUC = 0.72; 95%CI 0.65–0.78) and SAPS II (AUC = 0.69; 95%CI 0.62–0.76), with no statistically significant difference between the scores (p > 0.05). -
Early Goal-Directed Therapy in the Management of Severe Sepsis Or
Zhang et al. BMC Medicine (2015) 13:71 DOI 10.1186/s12916-015-0312-9 RESEARCH ARTICLE Open Access Early goal-directed therapy in the management of severe sepsis or septic shock in adults: a meta-analysis of randomized controlled trials Ling Zhang1, Guijun Zhu2, Li Han3 and Ping Fu4* Abstract Background: The Surviving Sepsis Campaign guidelines have proposed early goal-directed therapy (EGDT) as a key strategy to decrease mortality among patients with severe sepsis or septic shock. However, its effectiveness is uncertain. Methods: We searched for relevant studies in Medline, Embase, the Cochrane Library, Google Scholar, and a Chinese database (SinoMed), as well as relevant references from January 1966 to October 2014. We performed a systematic review and meta-analysis of all eligible randomized controlled trials (RCTs) of EGDT for patients with severe sepsis or septic shock. The primary outcome was mortality; secondary outcomes were length of ICU and in-hospital stay, mechanical ventilation support, vasopressor and inotropic agents support, fluid administration, and red cell transfusion. We pooled relative risks (RRs) or weighted mean differences (MDs) with 95% confidence intervals (95% CI) using Review Manager 5.2. Results: We included 10 RCTs from 2001 to 2014 involving 4,157 patients. Pooled analyses of all studies showed no significant difference in mortality between the EGDT and the control group (RR 0.91, 95% CI: 0.79 to 1.04, P = 0.17), with substantial heterogeneity (χ2 = 23.65, I2 = 58%). In the subgroup analysis, standard EGDT, but not modified EGDT, was associated with lower mortality rate in comparison with the usual care group (RR 0.84, 95% CI: 0.72 to 0.98, P = 0.03). -
Early Goal-Directed Therapy in the Treatment of Severe Sepsis and Septic Shock
The New England Journal of Medicine EARLY GOAL-DIRECTED THERAPY IN THE TREATMENT OF SEVERE SEPSIS AND SEPTIC SHOCK EMANUEL RIVERS, M.D., M.P.H., BRYANT NGUYEN, M.D., SUZANNE HAVSTAD, M.A., JULIE RESSLER, B.S., ALEXANDRIA MUZZIN, B.S., BERNHARD KNOBLICH, M.D., EDWARD PETERSON, PH.D., AND MICHAEL TOMLANOVICH, M.D., FOR THE EARLY GOAL-DIRECTED THERAPY COLLABORATIVE GROUP* ABSTRACT HE systemic inflammatory response syn- Background Goal-directed therapy has been used drome can be self-limited or can progress to for severe sepsis and septic shock in the intensive care severe sepsis and septic shock.1 Along this unit. This approach involves adjustments of cardiac continuum, circulatory abnormalities (intra- preload, afterload, and contractility to balance oxygen Tvascular volume depletion, peripheral vasodilatation, delivery with oxygen demand. The purpose of this myocardial depression, and increased metabolism) lead study was to evaluate the efficacy of early goal-direct- to an imbalance between systemic oxygen delivery and ed therapy before admission to the intensive care unit. oxygen demand, resulting in global tissue hypoxia or Methods We randomly assigned patients who ar- shock.2 An indicator of serious illness, global tissue rived at an urban emergency department with severe sepsis or septic shock to receive either six hours of hypoxia is a key development preceding multiorgan 2 early goal-directed therapy or standard therapy (as a failure and death. The transition to serious illness oc- control) before admission to the intensive care unit. curs during the critical “golden hours,” when defin- Clinicians who subsequently assumed the care of the itive recognition and treatment provide maximal ben- patients were blinded to the treatment assignment. -
Designing Optimal Mortality Risk Prediction Scores That Preserve
1 Designing Optimal Mortality Risk Prediction Scores that Preserve Clinical Knowledge Natalia M. Arzeno (1), Karla A. Lawson (2), Sarah V. Duzinski (2), Haris Vikalo (1) (1) Department of Electrical and Computer Engineering, The University of Texas at Austin, (2) Trauma Services, Dell Children’s Medical Center of Central Texas Email: [email protected], [email protected] Abstract Many in-hospital mortality risk prediction scores dichotomize predictive variables to simplify the score calculation. However, hard thresholding in these additive stepwise scores of the form “add x points if variable v is above/below threshold t” may lead to critical failures. In this paper, we seek to develop risk prediction scores that preserve clinical knowledge embedded in features and structure of the existing additive stepwise scores while addressing limitations caused by variable dichotomization. To this end, we propose a novel score structure that relies on a transformation of predictive variables by means of nonlinear logistic functions facilitating smooth differentiation between critical and normal values of the variables. We develop an optimization framework for inferring parameters of the logistic functions for a given patient population via cyclic block coordinate descent. The parameters may readily be updated as the patient population and standards of care evolve. We tested the proposed methodology on two arXiv:1411.5086v2 [stat.ML] 29 Apr 2015 populations: (1) brain trauma patients admitted to the intensive care unit of the Dell Children’s Medical Center of Central Texas between 2007 and 2012, and (2) adult ICU patient data from the MIMIC II database. The results are compared with those obtained by the widely used PRISM III and SOFA scores. -
Characteristics and Outcomes of Patients Infected with Ncov19 Ncov19
ARTIGO ORIGINAL Gustavo A. Plotnikow1,15 , Amelia Matesa2,15, Juan M. Nadur3,15, Marcelo Alonso4,15, Ignacio Características y resultados de los pacientes Nuñez I5,15, Gabriel Vergara6,15, Maria J. Alfageme7,15, Agustin Vitale8,15, Marco Gil9,15, infectados con nCoV19 con requerimiento de Valeria Kinzler10,15, Marianela Melia11,15, Florencia Pugliese12,15, Mariana Donnianni13,15, Joana ventilación mecánica invasiva en la Argentina Pochettino14,15, Ignacio Brozzi15, Jose Luis Scapellato1, por el Grupo Argentino Telegram Characteristics and outcomes of patients infected with nCoV19 nCoV19. requiring invasive mechanical ventilation in Argentina 1. Sanatorio Anchorena - Buenos Aires, RESUMEN SAPS II de 43, un índice de Charlson de Argentina. 3. El modo ventilatorio inicial fue volume 2. Clínica Basilea - Buenos Aires, Argentina. 3. Clínica de Internación Aguda en Rehabilitación control - continuous mandatory ventilation y Cirugía - Buenos Aires, Argentina. Objetivo: El coronavirus ha emergido con volumen corriente menor a 8mL/ 4. Clínica Pasteur - Neuquén, Argentina. este año como causa de neumonía viral. kg en el 100% de los casos, con una 5. Hospital Evita Pueblo - Buenos Aires, Una de las principales características es su mediana de presión positiva al final de la Argentina. rápida transmisión y su potencial severidad. espiración de 10,5cmH2O. A la fecha de 6. Sanatorio Femechaco de la Comunidad - El objetivo de este estudio de serie de Chaco, Argentina. cierre del estudio, 29 pacientes fallecieron, 7. Hospital San Miguel Arcángel - Buenos Aires, casos es describir las características clínicas 8 alcanzaron el alta, y 10 pacientes Argentina. de los pacientes con confirmación de continúan internados al cierre del estudio. 8. -
Outcome of Severe Lactic Acidosis Associated with Metformin Accumulation Sigrun Friesecke1*, Peter Abel1, Markus Roser2, Stephan B Felix1, Soeren Runge3
Friesecke et al. Critical Care 2010, 14:R226 http://ccforum.com/content/14/6/R226 RESEARCH Open Access Outcome of severe lactic acidosis associated with metformin accumulation Sigrun Friesecke1*, Peter Abel1, Markus Roser2, Stephan B Felix1, Soeren Runge3 Abstract Introduction: Metformin associated lactic acidosis (MALA) may complicate metformin therapy, particularly if metformin accumulates due to renal dysfunction. Profound lactic acidosis (LA) generally predicts poor outcome. We aimed to determine if MALA differs in outcome from LA of other origin (LAOO). Methods: We conducted a retrospective analysis of all patients admitted with LA to our medical ICU of a tertiary referral center during a 5-year period. MALA patients and LAOO patients were compared with respect to parameters of acid-base balance, serum creatinine, hospital outcome, Simplified Acute Physiology Score II (SAPS II) and Sequential Organ Failure Assessment (SOFA) score, using Pearson’s Chi-square or the Mann-Whitney U-test. Results: Of 197 patients admitted with LA, 10 had been diagnosed with MALA. With MALA, median arterial blood pH was significantly lower (6.78 [range 6.5 to 6.94]) and serum lactate significantly higher (18.7 ± 5.3 mmol/L) than with LAOO (pH 7.20 [range 6.46 to 7.35], mean serum lactate 11.2 ± 6.1 mmol/L). Overall mortality, however, was comparable (MALA 50%, LAOO 74%). Furthermore, survival of patients with arterial blood pH < 7.00 (N = 41) was significantly better (50% vs. 0%) if MALA (N = 10) was the underlying condition compared to LAOO (N = 31). Conclusions: Compared to similarly severe lactic acidosis of other origin, the prognosis of MALA is significantly better. -
Hidden Markov Chain Modeling and Analysis for ICU Mortality Prediction
Abstract ID#: 3147 Category: Health Sciences Undergraduate/Graduate: PhD CHF-AR-HMM and Analysis for Post-ICU Mortality Prediction Yilin Yin, Chun-An Chou Department of Mechanical & Industrial Engineering, Northeastern University Overlook Modeling: Conduct Autoregressive hidden Markov model (AR-HMM) The intensive care unit (ICU) mortality prediction q The post-ICU dynamic risk (mortality) prediction is on demand by patients for timely decision making and consecutive care q Our goal is to predict the mortality within certain days (e.g., 5-10 days since admission) with the last 24-hour physiology data by improving the existing scoring system State-of-the-art Scoring System q Risk scores converted from irregular time-series body vitals and laboratory test data are delivered for predicting mortality q In this case, Simplified Acute Physiology Score (SAPS) II [1] designed for mortality prediction is considered Fig 3. Methodology workflow and CHF-AR-HMM mixture model. Challenges q Risk scoring systems are not capable of capturing the patient’s severity level in a dynamic manner q Current cumulative hazard Markov model method relies on the prior probability, which is highly biased Methodology q We use the mixture model CHF-AR_HMM as combination of autoregressive Hidden Markov model (AR-HMM) [2] with cumulative hazard function (CHF) [3] to discover the latent states (survival or death) dynamic on the aggregated data from the risk scoring system for each patient Data Processing q PhysioNet ICU Challenge 2012 MIMIC II [4] is used for model validation, including first 48-hour ICU monitoring (12 physiology variables and other patient attributes), laboratory tests data since ICU admission from 12000 patients, the demographic and mortality outcome information. -
Scoring Systems in ICU
Specialty Board in Critical Care Medicine Critical Care Tutorial Scoring Systems in ICU Dr Yan Wing Wa Department of Intensive Care Pamela Youde Nethersole Eastern Hospital February 2009 1 What are the Roles of Scoring Systems? 2 Roles of Scoring Systems Comparative audit Standardised mortality ratio Evaluative research Risk stratification Clinical management of individual patients 3 Scoring Systems Quantification of case-mix and Development of mathematical equations to estimate probabilities of outcome for intensive care patients. Outcome parameters: Mortality Morbidity Disability Functional health status Quality of life 4 What are the Limitations of Scoring Systems? 5 Limitations of Scoring Systems 1. Generalisibility of scoring system Different patient inclusion criteria Different time period of data collection Different outcome variable 6 Limitations of Scoring System 3. Accuracy of scoring system Not perfect Different case-mix Score itself not best prediction but the ROD. 7 Use APACHE II system (SMR) to compare two different ICU performance Drawbacks 1. Case mix differences 2. Definition of hospital discharge ? Convalescent home 3. Mortality: is it really bad Good death >>’bad’ survival 4. ICU admission policy (esp. with limit no of bed and under hospital policy) 5. Use of admission diagnosis 6. Inter-rater/intra-rate reliability in data entry 7. Electronic data retrieving data (artifact) 8. GCS data entry (Sedation/coma) 8 Use APACHE II system (SMR) to compare two different ICU performance Drawbacks 9. Lead time bias (APACHE III better) 10. not just ICU performance Hospital death Post-ICU discharge care Shortage of ICU bed Pre-mature discharge Discharge at odd hours 11. More blood taking ↑ chance of getting worse data 12.