Quick Sepsis-related Organ Failure Assessment Research Articles

Usefulness of the qSOFA score for predicting hospital mortality in cancer patients

Usefulness of the qSOFA score for predicting hospital mortality in cancer patients

Assessment of a novel BLOOMY score for predicting mortality in hospitalised adults with bloodstream infection.

A German multicentre study BLOOMY was the first to use machine learning approach to develop mortality prediction scores for bloodstream infection (BSI) patients, but the scores have not been assessed in other cohorts. Our aim was to assess how the BLOOMY 14-day and 6-month scores estimate mortality in our cohort of 497 cases with BSI. Clinical data, laboratory data, and patient outcome were gathered retrospectively from patient records. The scores were calculated as presented in the BLOOMY study with the exception in the day of the evaluation. In our cohort, BLOOMY 14-day score estimated death by day 14 with an area under curve (AUC) of 0.87 (95% Confidence Interval 0.80-0.94). Using ≥ 6 points as a cutoff, sensitivity was 68.8%, specificity 88.1%, positive predictive value (PPV) 39.3%, and negative predictive value (NPV) 96.2%. These results were similar in the original BLOOMY cohort and outweighed both quick Sepsis-Related Organ Failure Assessment (AUC 0.76) and Pitt Bacteraemia Score (AUC 0.79) in our cohort. BLOOMY 6-month score to estimate 6-month mortality had an AUC of 0.79 (0.73-0.85). Using ≥ 6 points as a cutoff, sensitivity was 98.3%, specificity 10.7%, PPV 25.7%, and NPV 95.2%. AUCs of 6-month score to estimate 1-year and 5-year mortality were 0.80 (0.74-0.85) and 0.77 (0.73-0.82), respectively. The BLOOMY 14-day and 6-month scores performed well in the estimations of mortality in our cohort and exceeded some established scores, but their adoption in clinical work remains to be seen.

Advancing screening tool for hospice needs and end-of-life decision-making process in the emergency department

BackgroundPredicting mortality in the emergency department (ED) is imperative to guide palliative care and end-of-life decisions. However, the clinical usefulness of utilizing the existing screening tools still leaves something to be desired.MethodsWe advanced the screening tool with the A-qCPR (Age, qSOFA (quick sepsis-related organ failure assessment), cancer, Performance Status Scale, and DNR (Do-Not-Resuscitate) risk score model for predicting one-year mortality in the emergency department of Taipei City Hospital of Taiwan with the potential of hospice need and evaluated its performance compared with the existing screening model. We adopted a large retrospective cohort in conjunction with in-time (the trained and the holdout validation cohort) for the development of the A-qCPR model and out-of-time validation sample for external validation and model robustness to variation with the calendar year.ResultsA total of 10,474 patients were enrolled in the training cohort and 33,182 patients for external validation. Significant risk scores included age (0.05 per year), qSOFA ≥ 2 (4), Cancer (5), Eastern Cooperative Oncology Group (ECOG) Performance Status score ≥ 2 (2), and DNR status (2). One-year mortality rates were 13.6% for low (score ≦ 3 points), 29.9% for medium (3 < Score ≦ 9 points), and 47.1% for high categories (Score > 9 points). The AUROC curve for the in-time validation sample was 0.76 (0.74–0.78). However, the corresponding figure was slightly shrunk to 0.69 (0.69–0.70) based on out-of-time validation. The accuracy with our newly developed A-qCPR model was better than those existing tools including 0.57 (0.56–0.57) by using SQ (surprise question), 0.54 (0.54–0.54) by using qSOFA, and 0.59 (0.59–0.59) by using ECOG performance status score. Applying the A-qCPR model to emergency departments since 2017 has led to a year-on-year increase in the proportion of patients or their families signing DNR documents, which had not been affected by the COVID-19 pandemic.ConclusionsThe A-qCPR model is not only effective in predicting one-year mortality but also in identifying hospice needs. Advancing the screening tool that has been widely used for hospice in various scenarios is particularly helpful for facilitating the end-of-life decision-making process in the ED.

Biomarkers Improve Diagnostics of Sepsis in Adult Patients With Suspected Organ Dysfunction Based on the Quick Sepsis-Related Organ Failure Assessment (qSOFA) Score in the Emergency Department.

Consensus regarding biomarkers for detection of infection-related organ dysfunction in the emergency department is lacking. We aimed to identify and validate biomarkers that could improve risk prediction for overt or incipient organ dysfunction when added to quick Sepsis-related Organ Failure Assessment (qSOFA) as a screening tool. In a large prospective multicenter cohort of adult patients presenting to the emergency department with a qSOFA score greater than or equal to 1, admission plasma levels of C-reactive protein, procalcitonin, adrenomedullin (either bioavailable adrenomedullin or midregional fragment of proadrenomedullin), proenkephalin, and dipeptidyl peptidase 3 were assessed. Least absolute shrinkage and selection operator regression was applied to assess the impact of these biomarkers alone or in combination to detect the primary endpoint of prediction of sepsis within 96 hours of admission. Three tertiary emergency departments at German University Hospitals (Jena University Hospital and two sites of the Charité University Hospital, Berlin). One thousand four hundred seventy-seven adult patients presenting with suspected organ dysfunction based on qSOFA score greater than or equal to 1. None. The cohort was of moderate severity with 81% presenting with qSOFA = 1; 29.2% of these patients developed sepsis. Procalcitonin outperformed all other biomarkers regarding the primary endpoint (area under the curve for receiver operating characteristic [AUC-ROC], 0.86 [0.79-0.93]). Adding other biomarkers failed to further improve the AUC-ROC for the primary endpoint; however, they improved the model regarding several secondary endpoints, such as mortality, need for vasopressors, or dialysis. Addition of procalcitonin with a cutoff level of 0.25 ng/mL improved net (re)classification by 35.2% compared with qSOFA alone, with positive and negative predictive values of 60.7% and 88.7%, respectively. Biomarkers of infection and organ dysfunction, most notably procalcitonin, substantially improve early prediction of sepsis with added value to qSOFA alone as a simple screening tool on emergency department admission.

Predictive value of white blood cell to hemoglobin ratio for 30-day mortality in patients with severe intracerebral hemorrhage.

To explore the predictive value of white blood cell to hemoglobin ratio (WHR) for 30-day mortality in patients with intracerebral hemorrhage (ICH). In this cohort study, 2,848 patients with ICH were identified in the Medical Information Mart for Intensive Care (MIMIC)-III and MIMIC-IV. Least absolute shrinkage and selection operator (LASSO) regression screened covariates of 30-day mortality of ICH patients. COX regression analysis was used to study the association of different levels of WHR, white blood cell (WBC), and hemoglobin (Hb) with 30-day mortality. The median follow-up time was 30 (20.28, 30.00) days. In total, 2,068 participants survived at the end of the follow-up. WHR was negatively correlated with the Glasgow Coma Score (GCS) (spearman correlation coefficient = -0.143, p < 0.001), and positively associated with the Sepsis-related Organ Failure Assessment (SOFA) score (spearman correlation coefficient = 0.156, p < 0.001), quick SOFA (qSOFA) score (spearman correlation coefficient = 0.156, p < 0.001), and Simplified Acute Physiology Score II (SAPS-II) (spearman correlation coefficient = 0.213, p < 0.001). After adjusting for confounders, WHR >0.833 (HR = 1.64, 95%CI: 1.39-1.92) and WBC >10.9 K/uL (HR = 1.49, 95%CI: 1.28-1.73) were associated with increased risk of 30-day mortality of patients with ICH. The area under the curve (AUC) value of the prediction model based on WHR and other predictors was 0.78 (95%CI: 0.77-0.79), which was higher than SAPSII (AUC = 0.75, 95%CI: 0.74-0.76), SOFA score (AUC = 0.69, 95%CI: 0.68-0.70) and GCS (AUC = 0.59, 95%CI: 0.57-0.60). The level of WHR was associated with 30-day mortality in patients with severe ICH, and the WHR-based prediction model might provide a tool to quickly predict 30-day mortality in patients with ICH.

Comparison of Pneumonia-specific Scores, Sepsis Score and Generic Score in Predicting the Severity of Community-acquired Pneumonia: A Cross-sectional Study

Introduction: Pneumonia is defined as inflammation of the pulmonary parenchyma caused by an infectious agent. Community-acquired Pneumonia (CAP) is a heterogeneous disease with a significant disease burden, morbidity, and mortality. Severe Community-acquired Pneumonia (SCAP) has been proven to be associated with increased Intensive Care Unit (ICU) admission, mechanical ventilation, and mortality. Although several severity assessment tools are available, there is a lack of evidence to support one tool over another in patients with pneumonia. Aim: To compare the ability of pneumonia-specific scores {{Confusion, Urea, Respiratory rate, Blood pressure (CURB)- 65 and Expanded CURB-65)}, Sepsis score {quick Sepsisrelated Organ Failure Assessment (qSOFA)}, and Generic score {National Early Warning Score (NEWS)} in predicting SCAP patients at the time of hospital admission. Materials and Methods: This was a hospital-based crosssectional study conducted in the Department of Pulmonary Medicine, Government Hospital for Chest and Communicable Diseases, Andhra Medical College, Visakhapatnam, India, on 100 patients with clinically and radiologically diagnosed CAP over a period of six months from April 2023 to September 2023 after obtaining Institutional ethics clearance and informed consent. All four severity scores (CURB-65, eCURB-65, qSOFA, NEWS) were documented in each patient at the time of admission. Outcomes such as 30-day mortality and ICU admission were measured. Receiver Operating Characteristic (ROC) curve analysis was performed for mortality prediction and ICU admission for all four scoring systems, and statistical analysis was carried out using Statistical Packages for Social Sciences (SPSS) version 24.0. Results: Out of 100 patients, 62 (62%) were males, and the remaining 38 (38%) were females with a mean age of 56±15 years. The number of patients with co-morbidities was 48 (48%). Regarding addictive habits, smoking and alcohol played a significant role at 38% and 33%, respectively. A 30- day mortality was observed in 18 (18%) patients, and 20 (20%) patients received ICU treatment. The frequency of patients with co-morbidities such as Diabetes Mellitus (DM), Hypertension (HTN), Ischaemic Heart Disease (IHD), and Chronic Obstructive Pulmonary Disease (COPD) was 21%, 33%, 5%, and 3%, respectively. For ICU admission as an outcome measure, the Area Under Receiver Operating Characteristics (AUROC) values were as follows: CURB-65: 0.977 (95% CI: 0.949-1.00, p-value &lt;0.001); Expanded CURB-65: 0.966 (95% CI: 0.931-1.00, p-value &lt;0.001); qSOFA: 0.935 (95% CI: 0.881-0.989, p-value &lt;0.001); NEWS score: 0.967 (95% CI: 0.934-1.00, p-value &lt;0.001). Conclusion: In the present study, all four scoring systems were equally effective in detecting the need for ICU admission and predicting 30-day mortality among CAP patients at the time of admission. However, organ-specific tools (CURB-65 (2-3) moderate) have demonstrated valid and effective means of assessing severity compared to sepsis scores and generic tools.

Performance of established disease severity scores in predicting severe outcomes among adults hospitalized with influenza-FluSurv-NET, 2017-2018.

Influenza is a substantial cause of annual morbidity and mortality; however, correctly identifying those patients at increased risk for severe disease is often challenging. Several severity indices have been developed; however, these scores have not been validated for use in patients with influenza. We evaluated the discrimination of three clinical disease severity scores in predicting severe influenza-associated outcomes. We used data from the Influenza Hospitalization Surveillance Network to assess outcomes of patients hospitalized with influenza in the United States during the 2017-2018 influenza season. We computed patient scores at admission for three widely used disease severity scores: CURB-65, Quick Sepsis-Related Organ Failure Assessment (qSOFA), and the Pneumonia Severity Index (PSI). We then grouped patients with severe outcomes into four severity tiers, ranging from ICU admission to death, and calculated receiver operating characteristic (ROC) curves for each severity index in predicting these tiers of severe outcomes. Among 8252 patients included in this study, we found that all tested severity scores had higher discrimination for more severe outcomes, including death, and poorer discrimination for less severe outcomes, such as ICU admission. We observed the highest discrimination for PSI against in-hospital mortality, at 0.78. We observed low to moderate discrimination of all three scores in predicting severe outcomes among adults hospitalized with influenza. Given the substantial annual burden of influenza disease in the United States, identifying a prediction index for severe outcomes in adults requiring hospitalization with influenza would be beneficial for patient triage and clinical decision-making.

Risk Factors and Mortality of Elderly Patients with Hospital-Acquired Pneumonia of Carbapenem-Resistant Klebsiella pneumoniae Infection.

Hospital-acquired pneumonia (HAP) caused by carbapenem-resistant K. pneumoniae (CRKP), especially in elderly patients, results in high morbidity and mortality. Studies on risk factors, mortality, and antimicrobial susceptibility of CRKP pulmonary infection among elderly patients are lacking. A retrospective case-control study was conducted from January 2019 to December 2021. The elderly inpatients (≥65 years) who were diagnosed with HAP caused by K. pneumoniae were enrolled. Clinical data were collected. Univariate and multivariate logistic regression analyses were used to identify risk factors. Propensity score matching was used to minimize the effect of potential confounding variables. Kaplan-Meier analysis was used to compare survival. A total of 115 patients with CRKP infection and 78 patients with carbapenem-susceptible K. pneumoniae (CSKP) infection were recruited. There were four independent risk factors for CRKP infection: history of intensive care unit (ICU) stays from hospital admission to positive respiratory specimen culture for K. pneumoniae (odds ratio (OR)=2.530), Charlson comorbidity index score ≥3 (OR = 2.420), prior exposure to carbapenems (OR = 5.280), and prior K. pneumoniae infection or colonization in the preceding 3 years (OR = 18.529). The all-cause 30-day mortality was 22.3%, the mortality of CRKP and CSKP infection was 28.7% and 12.8%, respectively. Independent risk factors for mortality included: older age (OR = 1.107), immunocompromised patients (OR = 8.632), severe pneumonia (OR = 51.244), quick Sepsis-related Organ Failure Assessment (qSOFA) score ≥2 (OR = 6.187), exposure to tigecycline before infection (OR = 24.702), and prolonged ICU stay (OR = 0.987). Thirty-day mortality was significantly lower in patients receiving ceftazidime-avibactam (CAZ-AVI) containing regimens than patients receiving polymyxin B sulfate (PB) containing regimens (P = 0.048). qSOFA score had a good prognostic effect [area under receiver operating characteristic curve (AUROC) of 0.838]. Active screening of CRKP for the high-risk populations, especially elderly patients, is significant for early detection and successful management of CRKP infection.

Clinical Phenotypes of Sepsis in a Cohort of Hospitalized Patients According to Infection Site.

Clinical sepsis phenotypes may be defined by a wide range of characteristics such as site of infection, organ dysfunction patterns, laboratory values, and demographics. There is a paucity of literature regarding the impact of site of infection on the timing and pattern of clinical sepsis markers. This study hypothesizes that important phenotypic variation in clinical markers and outcomes of sepsis exists when stratified by infection site. Retrospective cohort study. Five hospitals within the Wake Forest Health System from June 2019 to December 2019. Six thousand seven hundred fifty-three hospitalized adults with a discharge International Classification of Diseases, 10th Revision code for acute infection who met systemic inflammatory response syndrome (SIRS), quick Sepsis-related Organ Failure Assessment (qSOFA), or Sequential Organ Failure Assessment (SOFA) criteria during the index hospitalization. None. The primary outcome of interest was a composite of 30-day mortality or shock. Infection site was determined by a two-reviewer process. Significant demographic, vital sign, and laboratory result differences were seen across all infection sites. For the composite outcome of shock or 30-day mortality, unknown or unspecified infections had the highest proportion (21.34%) and CNS infections had the lowest proportion (8.11%). Respiratory, vascular, and unknown or unspecified infection sites showed a significantly increased adjusted and unadjusted odds of the composite outcome as compared with the other infection sites except CNS. Hospital time prior to SIRS positivity was shortest in unknown or unspecified infections at a median of 0.88 hours (interquartile range [IQR], 0.22-5.05 hr), and hospital time prior to qSOFA and SOFA positivity was shortest in respiratory infections at a median of 54.83 hours (IQR, 9.55-104.67 hr) and 1.88 hours (IQR, 0.47-17.40 hr), respectively. Phenotypic variation in illness severity and mortality exists when stratified by infection site. There is a significantly higher adjusted and unadjusted odds of the composite outcome of 30-day mortality or shock in respiratory, vascular, and unknown or unspecified infections as compared with other sites.

Quick sepsis-related organ failure assessment in identifying clinical deterioration in patients with COVID-19

Quick sepsis-related organ failure assessment in identifying clinical deterioration in patients with COVID-19

Comparison of prognosis of five scoring systems in emphysematous pyelonephritis patients requiring intensive care

IntroductionOur study aimed to evaluate the performance of Quick Sepsis-related Organ Failure Assessment (qSOFA), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), Systemic Inflammatory Response Syndrome (SIRS), and Global Research in the Emphysematous Pyelonephritis group (GREMP) in predicting the need of admission in intensive care units (ICU) for emphysematous pyelonephritis (EPN) patient.Patients and methodsIn this retrospective study, we reviewed 70 patients admitted to our department from January 2008 to October 2022. Data on clinical presentation and EPN management were noted. The five scoring systems were calculated by one investigator. Univariate and multivariate analyses were used to assess predictive factors of severe sepsis and mortality. Statistical analysis was made using SPSS version 22.ResultsMean age was 61.83 years with 65.7% diabetes. As per Huang and Tseng classification, 41 patients had class I EPN, 7 had class II EPN, 8 had class IIIa, 6 class IIIB EPN, and 8 had class IV EPN. Seventeen patients (24.28%) were admitted to ICU with an 18.57 mortality rate. Univariate analysis showed that ICU admission was significantly associated with higher respiration rate and heart rate, lower systolic blood pressure, confusion, CRP, lactate and creatinine serum (p = 0.0001, p = 0.0001, p = 0.001, p = 0.007, p = 0.004, p = 0.001, p = 0.001, respectively). All five scores and Huang and Tseng classification were significantly predictive of admission to ICU. All five scores showed good results under the area curves to predict ICU entry with 0.915, 0.895, 0.968, 0.887, and 0.846 for qSOFA, MEWS score, NEWS score, SIRS, and GREMP score, respectively.ConclusionNEWS score seemed to be the best performing physiologic score among the five scoring systems studied and may help with biological and radiological findings to quickly identify EPN patients that need intensive care unit.

Prognostic value of early warning scores in patients presenting to the emergency department with exacerbation of COPD.

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is acondition that frequently presents to the emergency department (ED) and its prognosis is not very well understood. Risk tools that can be used rapidly in the ED are needed to predict the prognosis of these patients. This study comprised aretrospective cohort of AECOPD patients presenting to asingle center between 2015 and 2022. The prognostic accuracy of several clinical early warning scoring systems, Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), NEWS‑2, Systemic Inflammatory Response Syndrome (SIRS) and the quick Sepsis-related Organ Failure Assessment (qSOFA), were compared. The outcome variable was determined as one-month mortality. Of the 598patients, 63(10.5%) had died within 1month after presenting to the ED. Patients who died had more often congestive heart failure, altered mental status, and admission to intensive care, and they were older. Although the MEWS, NEWS, NEWS‑2, and qSOFA scores of those who died were higher than those who survived, there was no difference between the SIRS scores of these two groups. The score with the highest positive likelihood ratio for mortality estimation was qSOFA (8.5, 95% confidence interval [CI] 3.7-19.6). The negative likelihood ratios of the scores were similar, the NEWS score had anegative likelihood ratio of 0.4 (95% CI 0.2-0.8) with the highest negative predictive value of 96.0%. In AECOPD patients, most of the early warning scores that are frequently used in the ED were found to have amoderate ability to exclude mortality and alow ability to predict mortality.

Ability of qSOFA1-lactate to predict 30-day mortality in patients seen for infection in the Emergency Department

To evaluate lactate and the Quick Sepsis-Related Organ Failure Assessment (qSOFA) and compare their ability to predict 30-day mortality in patients treated for infection in emergency departments (ED). Prospective multicenter observational cohort study. We enrolled a convenience sample of patients aged 18 years or older attended in 71 Spanish ED from October 1, 2019, to March 31, 2020. Each model's predictive power was analyzed with the area under the receiver operating characteristic curve (AUC), and its values of sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative (NPV). A total of 4439 patients with a mean (SD) age of 18 years were studied; 2648 (59.7%) were men and 459 (10.3%) died within 30 days. For 30-day mortality, the AUC-COR obtained with the qSOFA = 1 model plus 2 mmol/l lactate was 0.66 (95% CI, 0.63-0.69) with Se: 68%, Es: 70% and NPV:92%, while qSOFA = 1 obtained AUC-COR of 0.52 (95% CI, 0.49-0.55) with a Se:42%, Es:64% and NPV:90%. To predict 30-day mortality in patients presenting to the ED due to an episode of infection, the qSOFA =1 + lactate≥2 mmol/L model significantly improves the predictive power achieved individually by qSOFA1 and becomes very similar to qSOFA≥2.

The Role of Biomarkers and Scores in Describing Urosepsis.

Background and Objectives: Patients with urinary tract obstruction (UTO) and systemic inflammatory response syndrome (SIRS) are at risk of developing urosepsis, whose evolution involves increased morbidity, mortality and cost. The aim of this study is to evaluate the ability of already existing scores and biomarkers to diagnose, describe the clinical status, and predict the evolution of patients with complicated urinary tract infection (UTI) and their risk of progressing to urosepsis. Materials and Methods: We conducted a retrospective study including patients diagnosed with UTI hospitalized in the urology department of" Sfântul Apostol Andrei" County Emergency Clinical Hospital (GCH) in Galati, Romania, from September 2019 to May 2022. The inclusion criteria were: UTI proven by urine culture or diagnosed clinically complicated with UTO, fever or shaking chills, and purulent collections, such as psoas abscess, Fournier Syndrome, renal abscess, and paraurethral abscess, showing SIRS. The exclusion criteria were: patients age < 18 years, pregnancy, history of kidney transplantation, hemodialysis or peritoneal dialysis, and patients with missing data. We used the Sequential (Sepsis-Related) Organ Failure Assessment (SOFA) and qSOFA (quick SOFA) scores, and procalcitonin (PCT) to describe the clinical status of the patients. The Charlson Comorbidity Index (CCI) was used to assesses pre-existing morbidities. The hospitalization days and costs and the days of intensive care were considered. Depending on the diagnosis at admission, we divided the patients into three groups: SIRS, sepsis and septic shock. The fourth group was represented by patients who died during hospitalization. Results: A total of 174 patients with complicated UTIs were enrolled in this study. From this total, 46 were enrolled in the SIRS group, 88 in the urosepsis group, and 40 in the septic shock group. A total of 23 patients died during hospitalization and were enrolled in the deceased group. An upward trend of age along with worsening symptoms was highlighted with an average of 56.86 years in the case of SIRS, 60.37 years in the sepsis group, 69.03 years in the septic shock, and 71.04 years in the case of deceased patients (p < 0.04). A statistically significant association between PCT and complex scores (SOFA, CCI and qSOFA) with the evolution of urosepsis was highlighted. Increased hospitalization costs can be observed in the case of deceased patients and those with septic shock and statistically significantly lower in the case of those with SIRS. The predictability of discriminating urosepsis stages was assessed by using the area under the ROC curve (AUC) and very good specificity and sensitivity was identified in predicting the risk of death for PCT (69.57%, 77.33%), the SOFA (91.33%, 76.82%), qSOFA (91.30%, 74.17%) scores, and CCI (65.22%, 88.74%). The AUC value was best for qSOFA (90.3%). For the SIRS group, the PCT (specificity 91.30%, sensitivity 85.71%) and SOFA (specificity 84.78%, sensitivity 78.74%), qSOFA scores (specificity 84.78%, sensitivity 76, 34%) proved to be relevant in establishing the diagnosis. In the case of the septic shock group, the qSOFA (specificity 92.5%, sensitivity 82.71%) and SOFA (specificity 97.5%, sensitivity 77.44%) as well as PCT (specificity 80%, sensitivity 85.61%) are statistically significant disease-defining variables. An important deficit in the tools needed to classify patients into the sepsis group is obvious. All the variables have an increased specificity but a low sensitivity. This translates into a risk of a false negative diagnosis. Conclusions: Although SOFA and qSOFA scores adequately describe patients with septic shock and they are independent prognostic predictors of mortality, they fail to be accurate in diagnosing sepsis. These scores should not replace the conventional triage protocol. In our study, PCT proved to be a disease-defining marker and an independent prognostic predictor of mortality. Patients with important comorbidities, CCI greater than 10, should be treated more aggressively because of increased mortality.

Evaluation of qSOFA and variation of hematochemical profile in cats naturally infected with feline panleukopenia virus

Abstract Feline panleukopenia (FP) is a fatal viral disease that predisposes cats to sepsis and organ failure. Owing to a wide variety of clinical findings, hematochemical examinations are significant for the determination of early signs of disease-related complications. The aim of this study is to investigate the diagnostic efficacy of certain hematochemical parameters together with quick Sepsis-related Organ Failure Assessment (qSOFA) in cats with FP. A total of 10 healthy and 30 panleukopenic cats were included in this study. Physical examinations revealed that the body temperature was highest in septic panleukopenic cats (p &lt; 0.009) and they had higher qSOFA scores (p = 0.000). Hemogram analysis revealed that leukocyte, lymphocyte, granulocyte, erythrocyte, and hemoglobin levels were lower in non-septic panleukopenic cats compared with the healthy ones (p &lt; 0.030). Also, monocyte and mean corpuscular hemoglobin levels were lower in septic ones (p &lt; 0.048). Serum biochemistry profiling revealed higher blood urea nitrogen, creatinine, alanine aminotransferase, lactate dehydrogenase, total bilirubin, and C-reactive protein levels in panleukopenic cats (p &lt; 0.033). As a result, it was concluded that although the qSOFA is not sufficient to distinguish sepsis in cats, unlike dogs, in order to achieve a positive clinical outcome, when evaluated together with hematochemical variables, it may help in making early diagnosis of FP-related complications.

Introduction of an emergency medicine pharmacist-led sepsis alert response system in the emergency department: A cohort study.

To determine effects of implementing a sepsis alert response system in the ED that included early intervention by emergency medicine (EM) pharmacists. A prospective cohort (8 February 2016 to 28 February 2018) of patients after implementation of a sepsis alert response system in an Australian ED was compared to a retrospective cohort (3 January 2015 to 7 February 2016) of patients with sepsis who presented during EM pharmacist working hours and were admitted to the ICU. There were 184 patients, including 80 patients pre- and 104 patients post-implementation. The post-intervention cohort was triaged at a higher acuity, had higher quick Sepsis-related Organ Failure Assessment (qSOFA) scores and higher initial lactate measurements. After the intervention, antimicrobial agents were administered to patients within 60 min of presentation more often (21 [26.3%] to 85 [81.7%], P < 0.001). After adjusting for presenting triage category, admission lactate and presenting qSOFA scores, this association remained significant (adjusted odds ratio 9.99; 95% confidence interval 4.7-21.3). Significant improvements were observed for proportion of patients who had intravenous fluids initiated within 60 min (47.5% vs 72.1%); proportion of patients who had serum lactate measured within 60 min (50.0% vs 77.9%) and proportion of patients who had blood cultures performed within 60 min (52.5% vs 85.6%). Implementation of a sepsis alert response that included early involvement of the EM pharmacist was associated with improvement in time to antimicrobials and other components of the sepsis bundle. An upfront, multidisciplinary approach to patients presenting to the ED with suspected sepsis should be considered more broadly.

A Comparative Study between SIRS, QSOFA, NEWS AND MEWS Score as Predictors for Inhospital Mortality of Patients Getting Admitted To ICU of a Tertiary Care Teaching Hospital

Sepsis screening in the Emergency Department (ED) is necessary for the rational management of patients. Multiple severity screening scores such as Systemic Inflammatory Response Syndrome (SIRS), quick Sepsis-related Organ Failure Assessment (qSOFA), National Early Warning Score (NEWS), and the Modified Early Warning Score (MEWS) are available. Though "Sepsis-3" recommends the use of the qSOFA score. This study seeks to validate each of these scores in a critical care setting and identify the score with the greatest predictive value for in hospital mortality. This comparative study included 188 patients determined to have sepsis. The information required for calculating SIRS, qSOFA, NEWS, and MEWS was extracted with careful history taking, patient assessment, and necessary investigations. The sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver-operating characteristic (AUROC) for each scoring system were measured for Intensive Care Unit (ICU) mortality. qSOFA had the highest specificity (73.61%) and the lowest sensitivity (36.02%). SIRS and NEWS scores had the highest sensitivity (77.78%) while SIRS had the lowest specificity (23.88%). The NEWS score had a specificity of 41.79%. MEWS score had an intermediate sensitivity of 76.36% and specificity of 63.91%. The ability to predict ICU mortality was highest for MEWS≥5 score (AUC 0.76; 95 % CI 0.68-0.84) compared to NEWS≥5 (AUC 0.61; 95% CI 0.52-0.71), qSOFA≥2 (AUC 0.56; 95% CI 0.46-0.66), and SIRS≥2 (AUC 0.49; 95% CI 0.37-0.61). By comparing HSROC curves, the MEWS score showed higher overall prognostic accuracy than SIRS, qSOFA and NEWS. Among qSOFA, SIRS, NEWS, and MEWS, the MEWS score showed the highest overall prognostic accuracy. However, no scoring system showed both high sensitivity and specificity for predicting the accuracy of mortality in patients with sepsis.

Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndrome

In this editorial we comment on the article published in the recent issue of the World Journal of Gastroenterology [2022; 28 (19): 2123-2136]. We pay attention to how to construct a simpler and more reliable new clinical predictive model to early identify patients at high risk of acute respiratory distress syndrome (ARDS) associated with severe acute pancreatitis (SAP), and to early predict the severity of organ failure from chest computed tomography (CT) findings in SAP patients. As we all know, SAP has a sudden onset, is a rapidly changing condition, and can be complicated with ARDS and even multiple organ dysfunction syndrome, and its mortality rate has remained high. At present, there are many clinical scoring systems for AP, including the bedside index for severity in AP, acute physiology and chronic health evaluation II, systemic inflammatory response syndrome, Japanese severe score, quick sepsis-related organ failure assessment, etc. However, some of these scoring systems are complex and require multiple and difficult clinical parameters for risk stratification. Although the aforementioned biomarkers are readily available, their ability to predict ARDS varies. Accor-dingly, it is extremely necessary to establish a simple and valuable novel model to predict the development of ARDS in AP. In addition, the extra-pancreatic manifestations of AP patients often involve the chest, among which pleural effusion and pulmonary consolidation are the more common complications. Therefore, by measuring the semi-quantitative indexes of chest CT in AP patients, such as the amount of pleural effusion and the number of lobes involved as pulmonary consolidation, it has important reference value for the early diagnosis of SAP complicated with ARDS and is expected to provide a basis for the early treatment of ARDS.

The Effect of Adding Procalcitonin to the Systemic Inflammatory Response Syndrome (Sirs) and Quick Sepsis-Related Organ Failure Assessment (qSOFA) Scoring System in Predicting Sepsis Mortality.

The primary objective of this study was to determine if the addition of procalcitonin to the existing systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA) scoring systems could improve the predictability of in-hospital sepsis-related mortality. Secondarily, we sought to determine if the addition of procalcitonin could predict the likelihood of ICU admission and discharge home. This is a retrospective, single-center, observational study that looked at data from January 1, 2017 to January 1, 2019.Patients were stratified into four groups: SIRS-positive + procalcitonin >2 ng/mL (pSIRS+), SIRS-positive + procalcitonin ≤2 ng/mL (pSIRS-), qSOFA-positive + procalcitonin >2 ng/mL (pqSOFA+), and qSOFA-positive + procalcitonin ≤2 ng/mL (pqSOFA-). The study was conducted at a community hospital in Las Vegas, Nevada. Patients were included in the study if they were >18 years of age and had hospital admission diagnosis of sepsis with at least one value of procalcitonin level. After patients which met the inclusion criteria, patients were divided into subgroups of SIRS, SIRS + procalcitonin > 2 ng/mL, qSOFA, qSOFA + procalcitonin >2 ng/mL. Primary outcomes were in-hospital mortality and secondary outcomes were ICU admission, length of stay, and discharge to home. 933 patients were included in the study with an overall mortality rate of 21.22%, an overall ICU admission rate of 56.15%, and an overall discharge home rate of 29.58%. In those identified with a sepsis-related diagnosis code, pSIRS+ predicted an in-hospital mortality rate of 31.89% compared to pSIRS- 16.15% (P < 0.0001). In regards to qSOFA, the addition of procalcitonin added no statistically significant difference in predicting in-hospital mortality. pSIRS+ patients were found to have an ICU admission rate of 76.16% and a discharge home rate of 19.20% compared to pSIRS- who had 47.40% and 34.90%, respectively (P < 0.0001). Like in our primary outcome, our data for qSOFA was not statistically significant. Procalcitonin added utility to the SIRS scoring system in predicting sepsis-related in-hospital mortality, ICU admission, and discharge home. Procalcitonin did not add statistically significant benefit to the qSOFA scoring system in predicting sepsis-related in-hospital mortality, ICU admission, and discharge home.

A novel mortality risk score for emphysematous pyelonephritis: A multicenter study of the Global Research in the Emphysematous Pyelonephritis group.

Emphysematous pyelonephritis (EPN) is a necrotizing infection of the kidney and the surrounding tissues associated with considerable mortality. We aimed to formulate a score that classifies the risk of mortality in patients with EPN at hospital admission. Patients diagnosed with EPN between 2013 and 2020 were retrospectively included. Data from 15 centers (70%) were used to develop the scoring system, and data from 7 centers (30%) were used to validate it. Univariable and multivariable logistic regression analyses were performed to identify independent factors related to mortality. Receiver operating characteristic curve analysis was performed to construct the scoring system and calculate the risk of mortality. A standardized regression coefficient was used to quantify the discriminating power of each factor to convert the individual coefficients into points. The area under the curve was used to quantify the scoring system performance. An 8-point scoring system for the mortality risk was created (range, 0-7). In total, 570 patients were included (400 in the test group and 170 in the validation group). Independent predictors of mortality in the multivariable logistic regression were included in the scoring system: quick Sepsis-related Organ Failure Assessment score ≥2 (2 points), anemia, paranephric gas extension, leukocyte count >22,000/μL, thrombocytopenia, and hyperglycemia (1 point each). The mortality rate was <5% for scores ≤3, 83.3% for scores 6, and 100% for scores 7. The area under the curve was 0.90 (95% confidence interval, 0.84-0.95) for test and 0.91 (95% confidence interval, 0.84-0.97) for the validation group. Our score predicts the risk of mortality in patients with EPN at presentation and may help clinicians identify patients at a higher risk of death.