Organ Failure Score Research Articles

Mortality Risk Factors Among Critically Ill Children With Acute COVID-19 in PICUs: A Multicenter Study From Turkish Pediatric Critical COVID-19 and MIS-C Study Group.

Background:During the coronavirus disease 2019 (COVID-19) pandemic, the world has a large number of reported COVID-19 cases and deaths. Information on characteristics and mortality rate of pediatric intensive care unit (PICU) cases with COVID-19 remains limited. This study aims to identify the risk factors for mortality related to COVID-19 in children admitted to PICU.Methods:A retrospective multicenter cohort study was conducted between March 2020 and April 2021 at 44 PICUs in Turkey. Children who were 1 month–18-year of age with confirmed COVID-19 admitted to PICU were included in the study. Children with multisystem inflammatory syndrome and asymptomatic for COVID-19 were excluded.Results:Of 335 patients with COVID-19, the median age was 6.8 years (IQR: 1.2–14) and 180 (53.7 %) were male, 215 (64.2 %) had at least one comorbidity. Age and gender were not related to mortality. Among 335 patients, 166 (49.5%) received mechanical ventilation, 17 (5.1%) received renal replacement therapy and 44 (13.1 %) died. Children with medical complexity, congenital heart disease, immunosuppression and malignancy had significantly higher mortality. On multivariable logistic regression analysis, organ failure index [odds ratio (OR): 2.1, 95 confidence interval (CI): 1.55–2.85], and having congenital heart disease (OR: 2.65, 95 CI: 1.03–6.80), were associated with mortality.Conclusions:This study presents detailed data on clinical characteristics and outcomes of patients with COVID-19 admitted to PICU in the first pandemic year in Turkey. Our study shows that having congenital heart disease is associated with mortality. In addition, the high organ failure score in follow-up predict mortality.

Rickettsial Infections Are Neglected Causes of Acute Febrile Illness in Teluk Intan, Peninsular Malaysia.

Rickettsial infections are among the leading etiologies of acute febrile illness in Southeast Asia. However, recent data from Malaysia are limited. This prospective study was conducted in Teluk Intan, Peninsular Malaysia, during January to December 2016. We recruited 309 hospitalized adult patients with acute febrile illness. Clinical and biochemistry data were obtained, and patients were stratified into mild and severe infections based on the sepsis-related organ failure (qSOFA) scoring system. Diagnostic assays including blood cultures, real-time PCR, and serology (IFA and MAT) were performed. In this study, pathogens were identified in 214 (69%) patients, of which 199 (93%) patients had a single etiology, and 15 (5%) patients had >1 etiologies. The top three causes of febrile illness requiring hospitalization in this Malaysian study were leptospirosis (68 (32%)), dengue (58 (27%)), and rickettsioses (42 (19%)). Fifty-five (18%) patients presented with severe disease with a qSOFA score of ≥2. Mortality was documented in 38 (12%) patients, with the highest seen in leptospirosis (16 (42%)) followed by rickettsiosis (4 (11%)). While the significance of leptospirosis and dengue are recognized, the impact of rickettsial infections in Peninsular Malaysia remains under appreciated. Management guidelines for in-patient care with acute febrile illness in Peninsular Malaysia are needed.

Epidemiology of Organ Failure Before and During COVID-19 Pandemic Surge Conditions.

Understanding the distribution of organ failure before and during the COVID-19 pandemic surge can provide a deeper understanding of how the pandemic strained health care systems and affected outcomes. To assess the distribution of organ failure in 3 New York City hospitals during the COVID-19 pandemic. A retrospective cohort study of adult admissions across hospitals from February 1, 2020, through May 31, 2020, was conducted. The cohort was stratified into those admitted before March 17, 2020 (prepandemic) and those admitted on or after that date (SARS-CoV-2-positive and non-SARS-CoV-2). Sequential Organ Failure Assessment scores were computed every 2 hours for each admission. A total of 1 794 975 scores were computed for 20 704 admissions. Before and during the pandemic, renal failure was the most common type of organ failure at admission and respiratory failure was the most common type of hospital-onset organ failure. The SARS-CoV-2-positive group showed a 231% increase in respiratory failure compared with the prepandemic group. More than 65% of hospital-onset organ failure in the prepandemic group and 83% of hospital-onset respiratory failure in the SARS-CoV-2-positive group occurred outside intensive care units. The SARS-CoV-2-positive group showed a 341% increase in multiorgan failure compared with the prepandemic group. Compared with the prepandemic and non-SARS-CoV-2 patients, SARS-CoV-2-positive patients had significantly higher mortality for the same admission and maximum organ failure score. Most hospital-onset organ failure began outside intensive care units, with a marked increase in multiorgan failure during pandemic surge conditions and greater hospital mortality for the severity of organ failure.

Clinical Implication of Plasma CD163 in Patients With Acute-on-Chronic Liver Failure

BackgroundIt was postulated that CD163 plasma level should be incorporated into existing predictive systems to improve prognostic performance in patients with acute-on-chronic liver failure (ACLF). Patients and MethodsPlasma CD163 was assessed in 24 consecutive patients with ACLF (17 male, 7 female; mean age 54.9 years; 50% with alcohol-related liver disease) and compered with the existing scoring tools to predict the availability of transplantation or survival without liver transplant (LT). ResultsThere were no differences in plasma CD163 levels between graft recipients and deceased patients on the waiting list or transplant survivors vs nonsurvivors. CD163 did not correlate with CLIF-ACLF, CLIF Consortium organ failure score (CLIF-OF), and ACLF grades (all P < .05). However, sequential organ failure assessment (SOFA), CLIF Consortium acute-on-chronic liver failure score (CLIF-C) ACLF, and CLIF-C OF scores correlated significantly with mortality (P < .01) in contrast to Child-Pugh scale and Model for End-Stage Liver Disease score (all P > .05). Transplanted survivors and deceased individuals differed robustly with respect to the SOFA and CLIF-SOFA scores and the CLIF-C OF, CLIF-C Grade, and CLIF-C ACLF scales (all P < .05). CLIF-C performed well in ACLF prognostication with an area under receiver operating characteristic curve (AUROC) 0.893 (95% CI, 0.766-1), surpassing in that respect CD163 with AUROC of 0.664 (95% CI, 0417-0.911). ConclusionsOur preliminary results showed that the plasma CD163 level in patients with ACLF played only a minor role in predicting LT futility/benefit, with no impact on the narrow transplant window. Moreover, to optimize LT outcomes, newly developed CLIF-C scales showed superior predictive value.

Nomogram and Machine Learning Models Predict 1-Year Mortality Risk in Patients With Sepsis-Induced Cardiorenal Syndrome

ObjectiveEarly prediction of long-term outcomes in patients with sepsis-induced cardiorenal syndrome (CRS) remains a great challenge in clinical practice. Herein, we aimed to construct a nomogram and machine learning model for predicting the 1-year mortality risk in patients with sepsis-induced CRS.MethodsThis retrospective study enrolled 340 patients diagnosed with sepsis-induced CRS in Shanghai Tongji Hospital between January 2015 and May 2019, as a discovery cohort. Two predictive models, the nomogram and machine learning model, were used to predict 1-year mortality. The prognostic variables used to develop the nomogram were identified based on a forward stepwise binary logistic regression, and the predictive ability of the nomogram was evaluated by the areas under the receiver operating characteristic curve (AUC) and the calibration curve. Meanwhile, machine learning (ML) techniques, such as support vector machine, random forest (RF), and gradient boosted decision tree, were assessed mainly by accuracy and AUC. Feature ranking analysis was performed using the ML algorithm. Both nomogram and ML models were externally validated by an independent cohort of 103 patients diagnosed with sepsis-induced CRS between June 2019 and December 2020.ResultsAge, sequential sepsis-related organ failure score (SOFA), serum myoglobin (MYO), vasopressor use, and mechanical ventilation were identified as independent risk factors for 1-year mortality in the nomogram predictive model. In the discovery cohort, the nomogram yielded higher AUC for predicting mortality than did the SOFA score (0.855 [95% CI: 0.815–0.895] vs. 0.756 [95% CI: 0.705–0.808]). For ML, the model developed by RF showed the highest accuracy (0.765) and AUC (0.854). In feature ranking analysis, factors such as age, MYO, SOFA score, vasopressor use, and baseline serum creatinine were identified as important features affecting 1-year prognosis. Moreover, the nomogram and RF model both performed well in external validation, with an AUC of 0.877 and 0.863, respectively.ConclusionOur nomogram and ML models showed that age, SOFA score, serum MYO levels, and the use of vasopressors during hospitalization were the main factors influencing the risk of long-term mortality. Our models may serve as useful tools for assessing long-term prognosis in patients with sepsis-induced CRS.

Prognostic value of von-Willebrand factor in patients with liver cirrhosis and its relation to other prognostic indicators.

BACKGROUNDVon-Willebrand factor (vWF) disposes certain prognostic value in patients with liver cirrhosis, but its relation to other prognostic indicators has not been fully investigated. AIMTo analyze the relation between vWF and other prognostic indicators in cirrhotic patients and to evaluate its prognostic value for mortality. METHODSThis analytic prospective study was carried out in a tertiary center and initially enrolled 71 patients with liver cirrhosis and portal hypertension. It analyzed the relation between vWF and the stage of the disease and several inflammatory and prognostic indicators. The prospective analysis, performed on a sample of 63 patients, evaluated the association between the selected variables [vWF, Model for End-stage Liver Disease (MELD) score, C-reactive protein (CRP), ferritin, vitamin D, activated partial thromboplastin time, thrombin time, D-dimer concentration] and the survival time as well as their predictive value in terms of 3-mo, 6-mo and 1-year mortality.RESULTSvWF was significantly higher in patients with higher Child-Turcotte-Pugh class (P = 0.0045), MELD group (P = 0.0057), ferritin group (P = 0.0278), and D-dimer concentration (P = 0.0232). vWF significantly correlated with D-dimer concentration, ferritin, CRP, International Normalized Ratio, and MELD, Child-Turcotte-Pugh, Sequential Organ Failure Assessment, and CLIF-consortium organ failure (CLIF-C OF) scores. vWF, MELD score, and CRP were significantly associated with death and were significant predictors of 3-mo, 6-mo, and 1-year mortality. Each vWF unit significantly increased the probability for 3-mo mortality by 1.005 times (P = 0.008), for 6-mo mortality by 1.006 times (P = 0.005), and for 1-year mortality by 1.007 times (P = 0.002). There was no significant difference between the diagnostic performance of vWF and MELD score and also between vWF and CRP regarding the 3-mo, 6-mo, and 1-year mortality.CONCLUSIONIn patients with liver cirrhosis, vWF is significantly related to other prognostic indicators and is a significant predictor of 3-mo, 6-mo, and 1-year mortality similar to MELD score and CRP.

Circadian rest-activity misalignment in critically ill medical intensive care unit patients.

Circadian alignment of rest-activity rhythms is an essential biological process that may be vulnerable to misalignment in critically ill patients. We evaluated circadian rest-activity rhythms in critically ill patients and their association with baseline (e.g. age) and clinical (e.g. mechanical ventilation status) variables, along with intensive care unit light-dark cycles. Using wrist actigraphy, we collected 48-hr activity and light exposure data from critically ill patients in a tertiary care medical intensive care unit. We evaluated circadian rest-activity rhythms using COSINOR and non-parametric circadian rhythm analysis models, and stratified these data across baseline and clinical variables. We used linear regression to evaluate the association of circadian rest-activity and light-dark exposure rhythms. In COSINOR and non-parametric circadian rhythm analysis analyses, the 34 medical intensive care unit patients completing 48-hr actigraphy recordings exhibited mean MESOR (mean activity levels of a fitted curve) and amplitudes of 0.50 ± 0.32 and 0.20 ± 0.19 movements per 30-s epoch, with high interdaily variability. Patients who were older, mechanically ventilated, sedated, restrained and with higher organ failure scores tended to exhibit greater circadian rest-activity misalignment, with three of 34 (9%) patients exhibiting no circadian rhythmicity. Circadian light-dark exposure misalignment was observed as well and was associated with rest-activity misalignment (p=0.03). Critically ill patients in our MICU experienced profound circadian rest-activity misalignment, with mostly weak or absent rhythms, along with circadian light-dark exposure misalignment. Potentially modifiable factors contributing to rest-activity misalignment (i.e. mechanical ventilation, restraints, low daytime light levels) highlight possible targets for future improvement efforts.

Construction of a Nomogram Model for Predicting Pleural Effusion Secondary to Severe Acute Pancreatitis

Background This study aims to investigate the risk factors of pleural effusion (PE) secondary to severe acute pancreatitis (SAP) and to build a nomogram model. Methods The clinical parameters of SAP patients admitted to the emergency department of the First Affiliated Hospital of Bengbu Medical College from January 2019 to August 2021 were retrospectively collected. The independence risk factors of PE secondary to SAP were analyzed by univariate analysis and multivariate logistic regression analysis. A nomogram risk prediction model was established and validated through the area under the ROC curve. Result Two hundred twenty-two SAP patients were included for analysis, of which 65 patients experienced secondary PE. The incidence of PE secondary to SAP was 29.28% (65/222). Logistic regression analysis showed that serum albumin (ALB) (OR = 0.830, 95% CI: 0.736∼0.936), fibrinogen (FIB) (OR = 4.573, 95% CI: 1.795∼11.648), C-reactive protein (CRP) (OR = 1.046, 95% CI: 1.009∼1.083), acute physiology, chronic health score system (APACHE-II) score (OR = 1.484, 95% CI: 1.106∼1.990), and sequential organ failure score (SOFA) (OR = 43.038, 95% CI: 2.030∼4.548) were independent risk factors for PE secondary to SAP (P < 0.05) and entered into the nomogram. The nomogram showed robust discrimination with an index of concordance of 0.755 and an area under the receiver operating characteristic curve of 0.837 (95% CI: 0.779∼0.894). Conclusion We developed a nomogram model for PE secondary to SAP with ALB, FIB, CRP, APACHE-II scores, and SOFA scores. The nomogram model showed good discrimination and consistency, and it can better predict the risk of PE secondary to SAP.

The Correlation Between Mechanical Ventilation Duration, Pediatric Sequential Organ Failure Assessment Score, and Blood Lactate Level in Children in Pediatric Intensive Care.

ObjectiveThis study aimed to investigate whether the ventilation duration for children undergoing invasive mechanical ventilation (IMV) in pediatric intensive care unit (PICU) is correlated with pediatric sequential organ failure (pSOFA) score, white blood cell (WBC) count, blood lactate level, and duration of fever.MethodsRetrospectively reviewed that the medical records of patients who received IMV in the PICU of Jingzhou Central Hospital between January 2018 and December 2020. According to the duration of IMV in diagnosis-related groups, these patients were divided into two groups: group A, ventilation duration <96 h, and group B, ventilation duration ≥96 h. Each group's pSOFA scores, WBC counts, blood lactate levels, and durations of fever were compared. Logistic regression analysis was used to analyze the clinical risk factors of ventilation duration ≥96 h, and the receiver operator characteristic (ROC) curve was drawn.ResultsA total of 42 patients were included, including 23 in group A and 19 in group B. The difference in pSOFA score between group A and group B was statistically significant (P < 0.05), while the differences in blood lactate level, duration of fever, and WBC count between the two groups were not statistically significant (P > 0.05). Logistic regression analysis was conducted to analyze the influencing factors of mechanical ventilation duration ≥96 h. An ROC curve was drawn with pSOFA score as a test variable and duration of mechanical ventilation ≥96 h as a state variable, revealing that the area under the curve was 0.76 (SE = 0.075, 95% CI: 0.614–0.906, P = 0.005). The sensitivity and specificity were 68.4 and 73.9%, respectively, and the corresponding pSOFA score was 7.5.ConclusionWhen the pSOFA score ≥8, the risk of mechanical ventilation duration ≥96 h increases.

Ischemic injury of the upper gastrointestinal tract after out-of-hospital cardiac arrest: a prospective, multicenter study

BackgroundThe consequences of cardiac arrest (CA) on the gastro-intestinal tract are poorly understood. We measured the incidence of ischemic injury in the upper gastro-intestinal tract after Out-of-hospital CA (OHCA) and determined the risk factors for and consequences of gastrointestinal ischemic injury according to its severity.MethodsProspective, non-controlled, multicenter study in nine ICUs in France and Belgium conducted from November 1, 2014 to November 30, 2018. Included patients underwent an esophago-gastro-duodenoscopy 2 to 4 d after OHCA if still intubated and the presence of ischemic lesions of the upper gastro-intestinal tract was determined by a gastroenterologist. Lesions were a priori defined as severe if there was ulceration or necrosis and moderate if there was mucosal edema or erythema. We compared clinical and cardiac arrest characteristics of three groups of patients (no, moderate, and severe lesions) and identified variables associated with gastrointestinal ischemic injury using multivariate regression analysis. We also compared the outcomes (organ failure during ICU stay and neurological status at hospital discharge) of the three groups of patients.ResultsAmong the 214 patients included in the analysis, 121 (57%, 95% CI 50–63%) had an upper gastrointestinal ischemic lesion, most frequently on the fundus. Ischemic lesions were severe in 55/121 (45%) patients. In multivariate regression, higher adrenaline dose during cardiopulmonary resuscitation (OR 1.25 per mg (1.08–1.46)) was independently associated with increased odds of severe upper gastrointestinal ischemic lesions; previous proton pump inhibitor use (OR 0.40 (0.14–1.00)) and serum bicarbonate on day 1 (OR 0.89 (0.81–0.97)) were associated with lower odds of ischemic lesions. Patients with severe lesions had a higher SOFA score during the ICU stay and worse neurological outcome at hospital discharge.ConclusionsMore than half of the patients successfully resuscitated from OHCA had upper gastrointestinal tract ischemic injury. Presence of ischemic lesions was independently associated with the amount of adrenaline used during resuscitation. Patients with severe lesions had higher organ failure scores during the ICU stay and a worse prognosis.Clinical Trial RegistrationNCT02349074.

Predictive value of machine learning for in-hospital mortality for trauma-induced acute respiratory distress syndrome patients: an analysis using the data from MIMIC III

To investigate the value of machine learning methods for predicting in-hospital mortality in trauma patients with acute respiratory distress syndrome (ARDS). A retrospective non-intervention case-control study was performed. Trauma patients with ARDS met the Berlin definition were extracted from the the Medical Information Mart for Intensive Care III (MIMIC III) database. The basic information [including gender, age, body mass index (BMI), pH, oxygenation index, laboratory indexes, length of stay in the intensive care unit (ICU), the proportion of mechanical ventilation (MV) or continuous renal replacement therapy (CRRT), acute physiology score III (APS III), sequential organ failure score (SOFA) and simplified acute physiology score II (SAPS II)], complications (including hypertension, diabetes, infection, acute hemorrhagic anemia, sepsis, shock, acidosis and pneumonia) and prognosis data of patients were collected. Multivariate Logistic regression analysis was used to screen meaningful variables (P < 0.05). Logistic regression model, XGBoost model and artificial neural network model were constructed, and the receiver operator characteristic curve (ROC) was performed to evaluate the predictive value of the three models for in-hospital mortality in trauma patients with ARDS. A total of 760 trauma patients with ARDS were enrolled, including 346 mild cases, 301 moderate cases and 113 severe cases; 618 cases survived and 142 cases died in hospital; 736 cases received MV and 65 cases received CRRT. Multivariate Logistic regression analysis screened out significant variables, including age [odds ratio (OR) = 1.035, 95% confidence interval (95%CI) was 1.020-1.050, P < 0.001], BMI (OR = 0.949, 95%CI was 0.917-0.983, P = 0.003), blood urea nitrogen (BUN; OR = 1.019, 95%CI was 1.004-1.033, P = 0.010), lactic acid (Lac; OR = 1.213, 95%CI was 1.124-1.309, P < 0.001), red cell volume distribution width (RDW; OR = 1.249, 95%CI was 1.102-1.416, P < 0.001), hematocrit (HCT, OR = 1.057, 95%CI was 1.019-1.097, P = 0.003), hypertension (OR = 0.614, 95%CI was 0.389-0.968, P = 0.036), infection (OR = 0.463, 95%CI was 0.289-0.741, P = 0.001), acute renal failure (OR = 2.021, 95%CI was 1.267-3.224, P = 0.003) and sepsis (OR = 2.105, 95%CI was 1.265-3.502, P = 0.004). All the above variables were used to construct the model. Logistic regression model, XGBoost model and artificial neural network model predicted in-hospital mortality with area under the curve (AUC) of 0.737 (95%CI was 0.659-0.815), 0.745 (95%CI was 0.672-0.819) and 0.757 (95%CI was 0.680-0.884), respectively. There was no significant difference between any two models (all P > 0.05). Logistic regression model, XGBoost model and artificial neural network model including age, BMI, BUN, Lac, RDW, HCT, hypertension, infection, acute renal failure and sepsis have good predictive value for in-hospital mortality of trauma patients with ARDS.

Clinical value of nutritional risk scores in patients with sepsis associated acute renal injury

To investigate the clinical value of nutritional indexes including body mass index (BMI), albumin (ALB), nutrition risk screening 2002 (NRS 2002) and the nutrition risk in critically ill score (NUTRIC) in 28-day prognosis of patients with sepsis related acute kidney injury (AKI). A prospective cohort study was conducted. Patients with sepsis treated in the emergency intensive care unit (EICU) of China Rehabilitation Research Center from December 1, 2018 to December 1, 2020 were observed for 7 days. Patients with sepsis related AKI were enrolled in this study. The gender, age, BMI, basic diseases, shock, number of affected organs, length of hospital stay, ALB, mechanical ventilation (MV) and vasoactive drug use, sequential organ failure score (SOFA), rapid sequential organ failure score (qSOFA) and acute physiology and chronic health evaluation II (APACHE II) were recorded. The NRS 2002 score and NUTRIC score were calculated. Cox regression model was used to analyze the risk factors of 28-day mortality in patients with sepsis related AKI. The receiver operator characteristic curves (ROC curves) were drawn and the areas under the ROC curves (AUC) were calculated, and the value of BMI, ALB, NRS 2002 score and NUTRIC score was analyzed to predict 28-day mortality in patients with sepsis related AKI. Kaplan Meier survival curves were used to analyze the effects of NRS 2002 score and NUTRIC score stratification on the 28 day prognosis of patients with sepsis related AKI. A total of 140 patients with sepsis related AKI were enrolled, including 73 survival patients and 67 died patients within 28 days. The 28-day mortality was 47.9% (67/140). BMI in the survival group was significantly higher than that in the death group [kg/m2: 22.0 (19.5, 25.6) vs. 20.7 (17.3, 23.9), P < 0.05], and NRS 2002 score and NUTRIC score were significantly lower than those in the death group [NRS 2002 score: 5 (4, 6) vs. 7 (6, 7), NUTRIC score: 6 (5, 7) vs. 7 (6, 9), both P < 0.05]. The ALB of the survival group was slightly higher than that of the death group, but the difference was not statistically significant. Cox regression analysis showed that NRS 2002 score and NUTRIC score were independent risk factors for 28-day death in patients with sepsis related AKI. ROC curve analysis showed that NUTRIC score had the strongest predictive ability for 28-day death [AUC = 0.785, 95% confidence interval (95%CI) was 0.708-0.850], followed by NRS 2002 score (AUC = 0.728, 95%CI was 0.647-0.800), but there was no significant difference between them. Compared with NRS 2002 score, the predictive ability of BMI and ALB was poor. Kaplan-Meier curve analysis showed that the prognosis of patients with NRS 2002 score≥5 was significantly worse than that of patients with NRS 2002 score < 5 (28-day cumulative survival rate: 42.1% vs. 75.6%, Log-Rank test: χ2 = 11.884, P = 0.001), and the prognosis of patients with NUTRIC score ≥ 6 was significantly worse than that of patients with NUTRIC score < 6 (28-day cumulative survival rate: 40.4% vs. 86.1%, Log-Rank test: χ2 = 19.026, P = 0.000). Patients with sepsis related AKI have high nutritional risk. Both NRS 2002 score and NUTRIC score have good predictive value for the prognosis of patients with sepsis related AKI, while BMI and ALB have low predictive value. Due to the complex calculation of NUTRIC score, NRS 2002 score may be more suitable for emergency department.

Etiology, Treatments, and Outcomes of Patients With Severe Community-Acquired Pneumonia in a Large U.S. Sample.

Compare the clinical practice and outcomes in severe community-acquired pneumonia (sCAP) patients to those in non-sCAP patients using guideline-defined criteria for sCAP. Retrospective observational cohort study. One hundred seventy-seven U.S. hospitals within the Premier Healthcare Database. Hospitalized adult (≥ 18 yr old) patients with pneumonia. Adult patients (≥ 18 yr old) with a principal diagnosis of pneumonia or a secondary diagnosis of pneumonia paired with a principal diagnosis of sepsis or respiratory failure were included. Patients with at least one guideline-defined major criterion for severe pneumonia were compared with patients with nonsevere disease. Among 154,799 patients with pneumonia, 21,805 (14.1%) met criteria for sCAP. They had higher organ failure scores (1.9 vs 0.63; p < 0.001) and inpatient mortality (22.0 vs 5.0%; p < 0.001), longer lengths of stay (8 vs 5 d; p < 0.001), and higher costs ($20,046 vs $7,543; p < 0.001) than those with nonsevere disease. Patients with sCAP had twice the rate of positive blood cultures (10.0% vs 4.5%; p < 0.001) and respiratory cultures (34.2 vs 21.1%; p < 0.001) and more often had isolates resistant to first-line community-acquired pneumonia antibiotics (10% of severe vs 3.1% of nonsevere; p < 0.001). Regardless of disease severity, Streptococcus pneumoniae was the most common pathogen recovered from blood cultures and Staphylococcus aureus and Pseudomonas species were the most common pathogens recovered from the respiratory tract. Although few patients with sCAP had cultures positive for a resistant organism, 65% received vancomycin and 42.8% received piperacillin-tazobactam. sCAP patients had worse outcomes and twice the rate of culture positivity. S. aureus and S. pneumoniae were the most common organisms in respiratory and blood specimens, respectively. Although only recommended for sCAP patients, nearly all pneumonia patients received blood cultures, a quarter of nonsevere patients received sputum cultures, and treatment with broad-spectrum agents was widespread, indicating fertile ground for antimicrobial and diagnostic stewardship programs.

Evaluation of Nutritional Practices in the Critical Care patient (The ENPIC study): Does nutrition really affect ICU mortality?

The importance of artificial nutritional therapy is underrecognized, typically being considered an adjunctive rather than a primary therapy. We aimed to evaluate the influence of nutritional therapy on mortality in critically ill patients. This multicenter prospective observational study included adult patients needing artificial nutritional therapy for >48h if they stayed in one of 38 participating intensive care units for ≥72h between April and July 2018. Demographic data, comorbidities, diagnoses, nutritional status and therapy (type and details for ≤14 days), and outcomes were registered in a database. Confounders such as disease severity, patient type (e.g., medical, surgical or trauma), and type and duration of nutritional therapy were also included in a multivariate analysis, and hazard ratios (HRs) and 95% confidence intervals (95%CIs) were reported. We included 639 patients among whom 448 (70.1%) and 191 (29.9%) received enteral and parenteral nutrition, respectively. Mortality was 25.6%, with non-survivors having the following characteristics: older age; more comorbidities; higher Sequential Organ Failure Assessment (SOFA) scores (6.6±3.3 vs 8.4±3.7; P<0.001); greater nutritional risk (Nutrition Risk in the Critically Ill [NUTRIC] score: 3.8±2.1 vs 5.2±1.7; P<0.001); more vasopressor requirements (70.4% vs 83.5%; P=0.001); and more renal replacement therapy (12.2% vs 23.2%; P=0.001). Multivariate analysis showed that older age (HR: 1.023; 95% CI: 1.008-1.038; P=0.003), higher SOFA score (HR: 1.096; 95% CI: 1.036-1.160; P=0.001), higher NUTRIC score (HR: 1.136; 95% CI: 1.025-1.259; P=0.015), requiring parenteral nutrition after starting enteral nutrition (HR: 2.368; 95% CI: 1.168-4.798; P=0.017), and a higher mean Kcal/Kg/day intake (HR: 1.057; 95% CI: 1.015-1.101; P=0.008) were associated with mortality. By contrast, a higher mean protein intake protected against mortality (HR: 0.507; 95% CI: 0.263-0.977; P=0.042). Old age, higher organ failure scores, and greater nutritional risk appear to be associated with higher mortality. Patients who need parenteral nutrition after starting enteral nutrition may represent a high-risk subgroup for mortality due to illness severity and problems receiving appropriate nutritional therapy. Mean calorie and protein delivery also appeared to influence outcomes. ClinicaTrials.gov NCT: 03634943.

Availability of Multiple Organ Failure Score Components in Surgical Patients

Background: Scoring systems are often used describe the degree of multi-system organ failure (MOF), however, the data used to calculate these scores are often missing. Studies utilizing these scoring systems often underreport the frequency of missing data. No study has examined the availability of clinical data needed to calculate Sequential Organ Failure Assessment (SOFA), and other organ failure scores. The primary objective of this study is to observe how often emergency general surgery and trauma patients have missing data needed to calculate MOF scores. Patients and Methods: Patients admitted between June 2017 and September 2019 were evaluated. Data to calculate SOFA, quick SOFA (qSOFA), Marshall Multiple Organ Dysfunction Score (MODS), Denver Post-Injury Multiple Organ Failure, and systemic inflammatory response syndrome (SIRS) criteria, as well as demographic and general admission and discharge data, were collected. Results: Of the 238 patients included in this study, 66.4% were emergency general surgery and 33.6% were trauma patients. For all patients, the median intensive care unit (ICU) length of stay (LOS) was seven days (range, 4-12), the median hospital LOS was 14 days (range, 10-21), and 28 patients (11.8%) did not survive to hospital discharge. Sequential Organ Failure Assessment was calculable in 21.4%-18.1%, whereas MODS was calculable in 6.3%-5.0% on days three and five, respectively. The Denver score was calculable in 32.5%-28.8% of trauma patients on these days. Of the data points needed to calculate these scores, the partial pressure of oxygen (Pao2)/fraction of inspired oxygen (FIo2) ratio, central venous pressure (CVP), and bilirubin were the least available components. Conclusions: Data needed to fully calculate SOFA and other common MOF scores are often not readily available highlighting the degree of imputation required to calculate these scores. We recommend better reporting of the degree of missing data in the literature.

Comparison of different sepsis scoring systems and pathways: qSOFA, SIRS, Shapiro criteria and CEC SEPSIS KILLS pathway in bacteraemic and non-bacteraemic patients presenting to the emergency department

BackgroundBacteraemia is associated with high morbidity and mortality, with delayed antibiotic treatment associated with poorer outcomes. Early identification is challenging, but clinically important. Multiple scoring systems have been developed to identify individuals in the broader categories of sepsis. We designed this study to assess the performance of existing scoring systems and pathways—CEC SEPSIS KILLS pathway (an Australian sepsis care package), quick sequential organ failure score (qSOFA), systemic inflammatory response syndrome (SIRS) and the Shapiro criteria.MethodsThis was a retrospective cohort study performed in two metropolitan hospitals in NSW, consisting of adult patients (> 18 years) with positive blood cultures containing a true pathogen and patients matched by age without positive blood cultures. Performance (sensitivity, specificity, and mortality prediction) of recognised sepsis and bacteraemia criteria and pathways—qSOFA, SIRS, Shapiro criteria and CEC SEPSIS KILLS pathway in the first 4 h following ED triage was assessed.ResultsThere were 251 patients in each cohort. Sepsis-related mortality was higher in the bacteraemic group (OR 0.4, p = 0.03). Of the criteria studied, the modified Shapiro criteria had the highest sensitivity (88%) with modest specificity (37.85%), and qSOFA had the highest specificity (83.67%) with poor sensitivity (19.82%). SIRS had reasonable sensitivity (82.07%), with poor sensitivity (20.72%). The CEC SEPSIS pathway sensitivity of 70.1% and specificity of 71.1%. The SEPSIS KILLS was activated on only 14% of bacteraemic patients.ConclusionThe performance of all scoring systems and pathways was suboptimal in the identification of patients at risk of bacteraemia presenting to the emergency department.

The Relationship between FT3 Level and Severity of HBV-ACLF.

We aimed to explore the relationship between free triiodothyronine (FT3) level and severity of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). A total of 122 patients with HBV-ACLF who were hospitalized in Beijing You'an Hospital Affiliated to Capital Medical University from September 2018 to February 2020 were included in this study. The FT3 level and the number of organs involved in patients with different stages of liver failure were analyzed. The patients were divided into four groups, Q1, Q2, Q3, and Q4, according to FT3 level. Correlation analysis was used to compare the correlation between FT3 level and Model for End-Stage Liver Disease (MELD) score, chronic liver failure-sequential organ failure assessment (CLIF-SOFA) score, CLIF-consortium organ failure (CLIF-COF) score, and Asian Pacific Association for the Study of the Liver (APASL) acute-on-chronic liver failure (ACLF) Research Consortium (AARC) score. Multiple linear regression, logistic regression and receiver operating characteristic (ROC) curve were used to analyze the effect of FT3 on MELD score. The FT3 level was the lowest in patients with advanced HBV-ACLF, but the highest in patients with early-stage HBV-ACLF (P < 0.01). The more organs involved, the lower the level of FT3 (P < 0.01). The MELD score of Q4 group was the lowest, whereas that of Q1 group was the highest (P < 0.01). Pearson correlation coefficients of FT3 with MELD score, CLIF-SOFA score, CLIF-COF score and AARC score were -0.477, -0.359, -0.347, and -0.391, respectively (P < 0.001). Multiple linear regression analysis showed that the partial regression coefficients of FT3, natural log total bilirubin in milligrams per decaliter {ln[TBIL (mg/dL)]}, natural log creatinine in milligrams per decaliter {ln[CR (mg/dL)]}, and natural log international normalized ratio {ln[INR]} were -0.215, 0.346, 0.231, and 0.667, respectively (P < 0.001). The odds ratio (OR) values of FT3, ln[TBIL (mg/dL)], ln[CR (mg/dL)], and ln[INR] were 0.141 (0.082-0.244), 5.426 (2.697-9.059), 4.535 (2.432-8.455), and 8.642 (6.679-10.267) in the MELD ≥ 30 group compared with MELD < 30 group (P < 0.001). Furthermore, their area under the ROC curve (AUROC) values were 0.739 (0.686-0.792), 0.748 (0.696-0.800), 0.632 (0.562-0.702), and 0.933 (0.903-0.963), respectively (P < 0.001). FT3 level is correlated with the severity of HBV-ACLF, which may be one of the factors to judge the severity of this disease.

Respiratory Dysfunction Criteria in Critically Ill Children: The PODIUM Consensus Conference.

Respiratory dysfunction is a component of every organ failure scoring system developed, reflecting the significance of the lung in multiple organ dysfunction syndrome. However, existing systems do not reflect current practice and are not consistently evidence based. We aimed to review the literature to identify the components of respiratory failure associated with outcomes in children, with the purpose of developing an operational and evidence-based definition of respiratory dysfunction. Electronic searches of PubMed and Embase were conducted from 1992 to January 2020 by using a combination of medical subject heading terms and text words to define respiratory dysfunction, critical illness, and outcomes. We included studies of critically ill children with respiratory dysfunction that evaluated the performance of metrics of respiratory dysfunction and their association with patient-centered outcomes. Studies in adults, studies in premature infants (≤36 weeks' gestational age), animal studies, reviews and commentaries, case series with sample sizes ≤10, and studies not published in English in which we were unable to determine eligibility criteria were excluded. Data were abstracted into a standard data extraction form. We provided binary (no or yes) and graded (no, nonsevere, or severe) definitions of respiratory dysfunction, prioritizing oxygenation and respiratory support. The proposed criteria were approved by 82% of members in the first round, with a score of 8 of 9 (interquartile range 7-8). Exclusion of non-English publications, heterogeneity across the pediatric age range, small sample sizes, and incomplete handling of confounders are limitations. We propose definitions for respiratory dysfunction in critically ill children after an exhaustive literature review.

Temperature, Neutrophils and Multiple Organ Failure Score: A Simple Scoring System to Predict Mortality Following Perforated Peptic Ulcer

Temperature, Neutrophils and Multiple Organ Failure Score: A Simple Scoring System to Predict Mortality Following Perforated Peptic Ulcer

The Relationship Between Prognostic and Organ Failure Scoring Systems Such as APACHE II, SAPS II, MODS, SOFA and GCS and Quantitative Amino Acid Levels in Intensive Care Unit Patients

The Relationship Between Prognostic and Organ Failure Scoring Systems Such as APACHE II, SAPS II, MODS, SOFA and GCS and Quantitative Amino Acid Levels in Intensive Care Unit Patients