Tools for Screening, Predicting, and Evaluating Sepsis and Septic Shock: A Comprehensive Review.

Sepsis is characterized by life-threatening organ dysfunction due to dysregulated host response to infection. It can progress to cause circulatory and cellular/metabolic abnormalities, resulting in septic shock that may significantly increase mortality. The pathophysiology of sepsis involves a complex interplay of invading pathogens and the body's immune defense, causing alteration in normal homeostasis, eventually leading to derangements in the cellular, humoral, circulatory, and metabolic functions. Several scoring systems have been developed to rapidly predict or suspect sepsis, such as Sequential Organ Failure Assessment (SOFA), modified SOFA (mSOFA), quick SOFA (qSOFA), shock index (SI), and modified SI (mSI). Each of these scores has been utilized for triaging patients with sepsis, and as per medical advancements these scoring systems have been modified to include or exclude certain criteria to improve their clinical utility. This review aims to compare the individual scores and their usage for sepsis that may be used for laying the foundation for early recognition and prediction of sepsis and for formulating more precise definitions in the future.

Novel biomarkers to identify complicated course of febrile neutropenia in hematological patients receiving intensive chemotherapy.

Febrile neutropenia (FN) is a common consequence of intensive chemotherapy in hematological patients. More than 90% of the patients with acute myeloid leukemia (AML) develop FN, and 5%-10% of them die from subsequent sepsis. FN is very common also in autologous stem cell transplant recipients, but the risk of death is lower than in AML patients. In this review, we discuss biomarkers that have been evaluated for diagnostic and prognostic purposes in hematological patients with FN. In general, novel biomarkers have provided little benefit over traditional inflammatory biomarkers, such as C-reactive protein and procalcitonin. The utility of most biomarkers in hematological patients with FN has been evaluated in only a few small studies. Although some of them appear promising, much more data is needed before they can be implemented in the clinical evaluation of FN patients. Currently, close patient follow-up is key to detect complicated course of FN and the need for further interventions such as intensive care unit admission. Scoring systems such as q-SOFA (Quick Sequential Organ Failure Assessment) or NEWS (National Early Warning Sign) combined with traditional and/or novel biomarkers may provide added value in the clinical evaluation of FN patients.

Supplementary Contribution of Eastern Cooperative Oncology Group-Performance Status to Quick Sequential Organ Failure Assessment in the Detection of Bacteremia Among Older Patients With Suspected Infections.

Background The Quick Sequential Organ Failure Assessment (qSOFA) is a simple method for identifying patients with bacteremia; however, it is not accurate for predicting it. Performance status assessment involves the evaluation of daily activities and could be beneficial in predicting bacteremia. We aimed to evaluate whether adding Eastern Cooperative Oncology Group-Performance Status (ECOG-PS) to qSOFA could improve the prediction of bacteremia diagnosis in older patients admitted with suspected infections. Methods Data were gathered from individuals aged ≥65 years who were hospitalized with suspected bacteremia from 2018 to 2019. Two prediction models were contrasted employing logistic regression. The initial model exclusively incorporated the qSOFA score, while the second model integrated the Eastern Cooperative Oncology Group-Performance Status (ECOG-PS) alongside the qSOFA score. Results Among 1,114 enrolled patients, 221 (19.8%) had true bacteremia. The area under the curve of the qSOFA+ECOG-PS model did not show a statistically significant improvement in predictive capacity compared with that of the qSOFA model (0.544 vs. 0.554, p=0.162). Conclusions Adding the ECOG-PS score did not improve the performance of qSOFA for predicting bacteremia in older patients with suspected infection.

Systemic immune-inflammation index combined with quick sequential organ failure assessment score for predicting mortality in sepsis patients.

Objective: To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis. Methods: A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA. Results: A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001). Conclusion: The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.

Factors predicting infective complications following percutaneous nephrolithotomy and retrograde intrarenal surgery according to systemic inflammatory response syndrome and quick sequential organ failure assessment: A prospective study.

Purpose: Myriad operative factors and characteristics of patients may influence the risk of infection in a patient undergoing stone surgery. We prospectively determined the risk factors for systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) in patients undergoing percutaneous nephrolithotomy (PCNL) and retrograde intrarenal surgery (RIRS). Materials and Methods: Patients who underwent PCNL and RIRS from March 2018 to January 2020 satisfying our selection criteria were enrolled. Samples of urine from the renal pelvis, bladder, and retrieved stones were sent for culture testing. Postoperatively patients were keenly supervised for any indications of SIRS and qSOFA. The association between stone and urine cultures across various sites was examined. Regression analysis was performed to ascertain clinical variables affiliated with SIRS and qSOFA. Results: The study included a total of 150 patients including both PCNL and RIRS, of which 23% post-PCNL and 20% post-RIRS met the criteria of SIRS and qSOFA. On univariate analysis in PCNL-Dilated pelvicalyceal system (PCS), renal pelvic urine culture (RPUC), stone culture (SC), and operative time >124 min among others were identified as risk factors whereas, in RIRS-residual calculus, RPUC, SC and operative time >62 min were risk factors. Multivariate analysis identified dilated PCS and SC for PCNL and only intraoperative RPUC for RIRS as independent risk factors. Only a significantly strong correlation among culture analysis was found between RPUC and SC in both the procedures. Conclusion: Intraoperative RPUC and SCs are better predictors of post-PCNL SIRS while Intraoperative RPUC and duration of surgery are better predictors of post-RIRS sepsis. We, therefore, recommend that both these cultures must routinely be obtained in the above procedures to identify the offending organisms and amend antibiotic therapy during treatment and surgical duration should be kept <62 min in RIRS. SIRS serves as a sensitive review tool which is specifically useful for initial care and on the contrary qSOFA is well suited for patients at greater risk of demise, thereby guiding clinicians to decide future care and course of treatment of patients.

Biomarker-Based Assessment Model for Detecting Sepsis: A Retrospective Cohort Study.

The concept of the quick sequential organ failure assessment (qSOFA) simplifies sepsis detection, and the next SOFA should be analyzed subsequently to diagnose sepsis. However, it does not include the concept of suspected infection. Thus, we simply developed a biomarker-based assessment model for detecting sepsis (BADS). We retrospectively reviewed the electronic health records of patients admitted to the intensive care unit (ICU) of a 2000-bed university tertiary referral hospital in South Korea. A total of 989 patients were enrolled, with 77.4% (n = 765) of them having sepsis. The patients were divided into a ratio of 8:2 and assigned to a training and a validation set. We used logistic regression analysis and the Hosmer-Lemeshow test to derive the BADS and assess the model. BADS was developed by analyzing the variables and then assigning weights to the selected variables: mean arterial pressure, shock index, lactate, and procalcitonin. The area under the curve was 0.754, 0.615, 0.763, and 0.668 for BADS, qSOFA, SOFA, and acute physiology and chronic health evaluation (APACHE) II, respectively, showing that BADS is not inferior in sepsis prediction compared with SOFA. BADS could be a simple scoring method to detect sepsis in critically ill patients quickly at the bedside.

The Use of the Initial National Early Warning Score 2 at the Emergency Department as a Predictive Tool of In-Hospital Mortality in Hemodialysis Patients.

Background The diagnosis of sepsis in the emergency department (ED) is difficult due to the ambiguous nature of its expression and its non-specific symptoms. Multiple scoring tools have been utilized to detect the severity and prognosis of sepsis. This study aimed to evaluate the use of the initial National Early Warning Score 2 (NEWS-2) at the ED as a predictive tool of in-hospital mortality in hemodialysis patients. Methodology We performed a retrospective, observational study to review the records of hemodialysis patients admitted to King Abdulaziz Medical City in Riyadh with suspected sepsis from the 1st of January to the 31st of December 2019 using a convenient sampling technique. Results The results showed that NEWS-2 had a higher sensitivity in predicting sepsis compared to the Quick Sequential Organ Failure Assessment (qSOFA) (16.28% vs. 11.54%). However, qSOFA had a higher specificity in predicting sepsis compared to the NEWS-2 scoring system (81.16% vs. 74.14%). It was found that the NEWS-2 scoring system was more sensitive in predicting mortality compared to qSOFA (26% vs. 20%). However, qSOFA was more specific in predicting mortality compared to NEWS-2 (88.50% vs. 82.98%). Conclusions Our findings demonstrated that the initial NEWS-2 is a subpar screening tool for sepsis and in-hospital mortality in hemodialysis patients. The use of qSOFA at the time of ED presentation was found to have a relatively higher specificity in predicting sepsis and mortality when compared to NEWS-2. To assess the application of the initial NEWS-2 in the ED setting, additional research should be conducted.

Quick Sequential Organ Failure Assessment Score Is a Better Predictor of Septic Shock After Percutaneous Nephrolithotomy: A Secondary Analysis of Two Multicenter Prospective Trials.

Introduction: Recent retrospective literature suggests that the quick sequential organ failure assessment (qSOFA) scoring tool is a potentially superior tool over use of the systemic inflammatory response syndrome (SIRS) criteria to predict septic shock after percutaneous nephrolithotomy (PCNL) surgery. Here we examine use of qSOFA and SIRS to predict septic shock within data series collected prospectively on PCNL patients as part of a greater study of infectious complications. Materials and Methods: We performed a secondary analysis of two prospective multicenter studies including PCNL patients across nine institutions. Clinical signs informing SIRS and qSOFA scores were collected no later than postoperative day 1. The primary outcome was sensitivity and specificity of SIRS and qSOFA (high-risk score of greater-or-equal to two points) in predicting admission to the intensive care unit (ICU) for vasopressor support. Results: A total of 218 cases at 9 institutions were analyzed. One patient required vasopressor support in the ICU. The sensitivity/specificity was 100%/72.4% (McNemar's test p < 0.001) for SIRS and was 100%/90.8% (McNemar's test p < 0.001) for qSOFA. Conclusion: Although positive predictive value for both qSOFA and SIRS in prediction of post-PCNL septic shock is low, prospectively collected data demonstrate use of qSOFA may offer greater specificity than SIRS criteria when predicting post-PCNL septic shock.

Systemic inflammatory response syndrome criteria (SIRS) and sepsis 3 criteria for assessing outcomes in sepsis: A prospective observational study.

Background: Sepsis is a major cause of death in hospitalised patients worldwide. Most studies for assessing outcomes in sepsis are from the western literature. Sparse data from Indian settings are available comparing the systemic inflammatory response syndrome (SIRS), Sequential Organ Failure Assessment (SOFA) and quick SOFA (qSOFA) (sepsis 3 criteria) for assessing outcomes in sepsis. In this study, we aimed to compare the SIRS criteria and sepsis 3 criteria to assess disease outcome at day 28 (recovery/mortality) in a North Indian tertiary care teaching hospital. Methods: A prospective observational study was performed in the Department of Medicine from 2019 to early 2020. Patients admitted to the medical emergency with clinical suspicion of sepsis were included. Systemic inflammatory response syndrome, qSOFA and SOFA scores were calculated at the time of presentation to the hospital. Patients were followed through the course of their hospital stay. Results: Out of 149 patients, 139 were included in the analysis. Patients who died had significantly higher mean SOFA, qSOFA scores and mean change in SOFA score than patients who survived (P value <0.01). There was no statistical difference between recovery and deaths at similar SIRS scores. A 40.30% fatality rate was recorded. Systemic inflammatory response syndrome had low Area Under Curve (AUC) (0.47) with low sensitivity (76.8) and specificity (21.7). SOFA had the maximum AUC (0.68) compared to qSOFA (0.63) and SIRS (0.47). SOFA also had the maximum sensitivity (98.1) while the qSOFA score had the maximum specificity (84.3). Conclusion: SOFA and qSOFA scores had superior predictive ability as compared to the SIRS score in assessing mortality in sepsis patients.

National Early Warning Score 2 is superior to quick Sequential Organ Failure Assessment in predicting mortality in sepsis patients presenting to the emergency department in India: A prospective observational study.

Background: High in-hospital mortality in sepsis patients remains challenging for clinicians worldwide. Early recognition, prognostication, and aggressive management are essential for treating septic patients. Many scores have been formulated to guide clinicians to predict the early deterioration of such patients. Our objective was to compare predictive values of quick Sequential Organ Failure Assessment (qSOFA) and National Early Warning Score 2 (NEWS2) with respect to in-hospital mortality. Methods: This prospective observational study was conducted in a tertiary care center in India. Adults with suspected infection with at least two Systemic Inflammatory Response Syndrome criteria presenting to the emergency department (ED) were enrolled. NEWS2 and qSOFA scores were calculated, and patients were followed until their primary outcome of mortality or hospital discharge. The diagnostic accuracy of qSOFA and NEWS2 for predicting mortality was analyzed. Results: Three hundred and seventy-three patients were enrolled. Overall mortality was 35.12%. A majority of patients had LOS between 2 and 6 days (43.70%). NEWS2 had higher area under curve at 0.781 (95% confidence interval [CI] (0.59, 0.97)) than qSOFA at 0.729 (95% CI [0.51, 0.94]), with P < 0.001. Sensitivity, specificity, and diagnostic efficiency to predict mortality by NEWS2 were 83.21% (95% CI [83.17%, 83.24%]); 57.44% (95% CI [57.39%, 57.49%]); and 66.48% (95% CI [66.43%, 66.53%]), respectively. qSOFA score had sensitivity, specificity, and diagnostic efficiency to predict mortality of 77.10% (95% CI [77.06%, 77.14%]); 42.98% (95% CI [42.92%, 43.03%]); and 54.95% (95% CI [54.90%, 55.00%]), respectively. Conclusion: NEWS2 is superior to qSOFA in predicting in-hospital mortality for sepsis patients presenting to the ED in India.

Performance of qSOFA Score as a Screening Tool for Sepsis in the Emergency Department.

Introduction: Sepsis is the leading cause of mortality, and various scoring systems have been developed for its early identification and treatment. The objective was to test the ability of quick sequential organ failure assessment (qSOFA) score to identify sepsis and predict sepsis-related mortality in the emergency department (ED). Methods: We conducted a prospective study from July 2018 to April 2020. Consecutive patients with age ≥18 years who presented to the ED with a clinical suspicion of infection were included. Sensitivity, specificity, positive predictive value (PPV), negative predictive values (NPV), and odds ratio (OR) for sepsis related mortality on day 7 and 28 were measured. Results: A total of 1200 patients were recruited; of which 48 patients were excluded and 17 patients were lost to follow-up. 54 (45.4%) of 119 patients with positive qSOFA (qSOFA >2) died at 7 days and 76 (63.9%) died at 28 days. A total of 103 (10.1%) of 1016 patients with negative qSOFA (qSOFA score <2) died at 7 days and 207 (20.4%) died at 28 days. Patients with positive qSOFA score were at higher odds of dying at 7 days (OR: 3.9, 95% confidence interval [CI]: 3.1-5.2, P < 0.001) and 28 days (OR: 6.9, 95% CI: 4.6-10.3, P < 0.001). The PPV and NPV with positive qSOFA score to predict 7- and 28-day mortality were 45.4%, 89.9% and 63.9%, 79.6%, respectively. Conclusion: The qSOFA score can be used as a risk stratification tool in a resource-limited setting to identify infected patients at an increased risk of death.

Evaluation of qSOFA combined with inflammatory mediators for diagnosing sepsis and predicting mortality among emergency department.

BACKGROUND: There are no guidelines in China or worldwide that clearly recommend indicators for the early diagnosis of sepsis in the emergency department. Simple and unified joint diagnostic criteria are also scarce. We compare the Quick Sequential Organ Failure Assessment (qSOFA) score and inflammatory mediator concentrations in patients with normal infection, sepsis, and sepsis death. METHODS: This study used a prospective and consecutive manner, including 79 patients with sepsis in the Emergency Department of Shenzhen People's Hospital from December 2020 to June 2021, and 79 patients with common infections (non-sepsis) matched by age and sex during the same period. The sepsis patients were then divided into a sepsis survival group (n = 67) and a sepsis death group (n = 12) based on whether they survived within 28 days. The baseline characteristics, qSOFA scores, the concentrations of tumor necrosis factor-α(TNF-α), interleukin (IL)-6, IL-1b, IL-8, IL-10, procalcitonin (PCT), high-sensitivity C-reactive protein (HSCRP) and other indicators were collected in all subjects. RESULTS: PCT and qSOFA were independent risk factors for predicting sepsis in the emergency department. The AUC value of PCT was the largest (0.819) among all diagnostic indicators of sepsis, with a cut-off value of 0.775 ng/ml and sensitivity and specificity of 0.785 and 0.709, respectively. The AUC of qSOFA combined PCT was the largest (0.842) in the combination of the 2 indicators, and the sensitivity and specificity were 0.722 and 0.848, respectively. IL-6 was an independent risk factor for predicting death within 28 days. IL-8 had the largest AUC value (0.826) among all indicators predicting sepsis death, with a cut-off value of 215 pg/ml and sensitivity and specificity of 0.667 and 0.895, respectively. Among the combination of two indicators, qSOFA combined with IL-8 had the largest AUC value (0.782) and sensitivity and specificity of 0.833 and 0.612, respectively. CONCLUSIONS: QSOFA and PCT are independent risk factors for sepsis, and qSOFA combined with PCT may be an ideal combination for early diagnosis of sepsis in the emergency department. IL-6 is an independent risk factor for death within 28 days of sepsis, and qSOFA combined with IL-8 may be an ideal combination for early prediction of death within 28 days in sepsis patients in the emergency department.

Validation of National Early Warning Score and Quick Sequential (sepsis-related) Organ Failure Assessment in acute myeloid leukaemia patients treated with intensive chemotherapy.

OBJECTIVES: Chemotherapy-induced neutropenia in acute myeloid leukaemia (AML) is a risk factor for life-threatening infections. Early diagnosis and prompt interventions are associated with better outcomes, but the prediction of infection severity remains an open question. Recently, National Early Warning Score (NEWS) and quick sequential organ failure assessment (qSOFA) scores were proposed as warning clinical instruments predicting in-hospital mortality, but their role in the haematological context is still unknown. METHODS: We retrospectively assess the predictive role of NEWS and qSOFA in a large and homogeneous cohort of adult AML patients treated with intensive chemotherapy. In a total of 1048 neutropenic episodes recorded in 334 consecutive patients, the scores were applied to predict outcomes on the same day of fever onset, and after 24 and 48 h from score calculation. RESULTS: Both NEWS and qSOFA significantly predicted death, with more accuracy on the same day (NEWS AUROC 0.984 and qSOFA AUROC 0.969) and after 24 h (NEWS AUROC 0.928 and qSOFA AUROC 0.887), while remained moderately accurate after 48 h. Furthermore, also ICU admission was accurately predicted at fever onset and after 24 h. CONCLUSIONS: Both scores were useful tools in the management of post chemotherapy neutropenic febrile AML patients.

Role of Neutrophil Gelatinase-associated Lipocalin (NGAL) and Other Clinical Parameters as Predictors of Bacterial Sepsis in Patients Presenting to the Emergency Department with Fever.

Background: Bacterial sepsis is associated with significant morbidity and mortality. However, to date, there is no single test that predicts sepsis with reproducible results. We proposed that using a combination of clinical and laboratory parameters and a novel biomarker, plasma neutrophil gelatinase-associated lipocalin (NGAL) may aid in early diagnosis. Method: A prospective cohort study was conducted at a tertiary care center in South India (June 2017 to April 2018) on patients with acute febrile episodes fulfilling the Systemic Inflammatory Response Syndrome (SIRS) criteria. Plasma NGAL and standard clinical and laboratory parameters were collected at the admission. Bacterial sepsis was diagnosed based on blood culture positivity or clinical diagnosis. Clinically relevant plasma NGAL cut-off values were identified using the receive operating characteristic (ROC) curve. Clinically relevant clinical parameters along with plasma NGAL's risk ratios estimated from the multivariable Poisson regression model were rounded and used as weights to create a new scoring tool. Results: Of 100 patients enrolled, 37 had bacterial sepsis. The optimal plasma NGAL cut-off value to predict sepsis was 570 ng/mL [area under the curve (AUC): 0.69]. The NGAL sepsis screening tool consists of the following clinical parameter: diabetes mellitus, the presence of rigors, quick sequential organ failure assessment (qSOFA) >2, a clear focus of infection, and the plasma NGAL >570 ng/mL. A score of <3 ruled out bacterial sepsis and a score >7 were highly suggestive of bacterial sepsis with an interval likelihood ratio (LR) of 7.77. Conclusion: The NGAL sepsis screening tool with a score >7 can be used in the emergency department (ED) to identify bacterial sepsis. How to cite this article: Paul A, Newbigging NS, Lenin A, Gowri M, Varghese JS, Nell AJ, et al. Role of Neutrophil Gelatinase-associated Lipocalin (NGAL) and Other Clinical Parameters as Predictors of Bacterial Sepsis in Patients Presenting to the Emergency Department with Fever. Indian J Crit Care Med 2023;27(3):176-182.

Modified Sequential Organ Failure Assessment score for predicting mortality in emergency department patients with sepsis.

OBJECTIVE: Several scoring systems have been proposed for EDs to identify patients at increased risk of mortality from sepsis. The modified Sequential Organ Failure Assessment (mSOFA) score, proposed in 2019, demonstrated a high negative predictive value. We aimed to validate mSOFA and compare its accuracy for predicting 30-day mortality to the simple bedside score, quick SOFA (qSOFA). METHODS: Over 1 month in 2018, consecutive patients with suspected sepsis were prospectively identified. A retrospective chart review was conducted to calculate both the mSOFA and qSOFA scores for these patients. The primary outcome was 30-day mortality. RESULTS: There were 252 patients with suspected sepsis identified over the study period. Thirty-day mortality was 13/39 (33.3%) for those with a positive mSOFA and 15/211 (7.1%) for those with a negative mSOFA score. Sensitivity was 46.4% (95% confidence interval [CI] 27.5-66.1%), specificity 88.3% (95% CI 83.3-92.2%), positive likelihood ratio 3.96 (95% CI 2.32-6.78), negative likelihood ratio 0.61 (95% CI 0.43-0.86). The area under the curve (AUC) was 0.74 (95% CI 0.64-0.85). qSOFA sensitivity was 39.3% (95% CI 21.5-59.4%), specificity 91.9% (95% CI 87.5-95.1%), positive likelihood ratio 4.85 (95% CI 2.56-9.18) and negative likelihood ratio 0.66 (95% CI 0.49-0.89). The AUC for qSOFA was 0.81 (95% CI 0.73-0.88). The difference in the AUC was -0.07 (95% CI -0.18 to 0.05), P = 0.25. CONCLUSIONS: In the present study, neither mSOFA nor qSOFA was adequately sensitive for predicting 30-day mortality, although both scores were highly specific and their overall accuracy was similar. The added complexity of the mSOFA without a significant increase in discriminative ability makes it unlikely to replace qSOFA in the ED setting.

Quick Sequential Organ Failure Assessment Score, Lactate, and Neutrophil-Lymphocyte Ratio Help in Diagnosis and Mortality Prediction during Golden Hour of Sepsis in Emergency Department.

Introduction: Sepsis is a life-threatening condition with a very narrow golden period in which confirmatory diagnosis may change the outcome dramatically. No confirmatory biomarker is available till date for early diagnosis of sepsis. This study aimed to evaluate the combined and independent role of quick sequential organ failure assessment (qSOFA) score, lactate, and neutrophil-lymphocyte ratio (NLR) in diagnosis and mortality prediction in early sepsis. Methods: This was a hospital-based, single-center, prospective cohort study conducted in a tertiary care institute, Karnataka, India. Three hundred adult sepsis patients were recruited during 10-month period, and demographic data, qSOFA score, lactate, NLR, and culture samples were collected in ED within 1 h of admission. Outcome groups (survivor and nonsurvivor) were statistically analyzed with relative frequencies (%), median, mean ± standard deviation with 95% confidence interval (CI), univariate, bivariate, and multivariate logistic regression analysis, and Receiver -operating characteristic curve (ROC) curve to test the predictive ability of initial levels of three biomarkers. Results: Sepsis was more prevalent among middle-aged male patients. Male gender (odds ratio [OR], 6.9; 95% CI: 1.61-30.1), qSOFA (OR, 154; 95% CI: 15-1565), and lactate (OR, 1.36; 95% CI: 22-833) show 97% (area under the curve) predictive accuracy of the model for sepsis on bivariate and multivariate logistic regression analysis. A significant rise in NLR was a poor outcome indicator on univariate analysis (P = 0.773). Conclusion: All three biomarkers are good outcome predictors whereas qSOFA and lactate have diagnostic significance in early sepsis. These markers can be used for patient triaging, minimizing culture report dependence for treatment and ultimately the outcome.

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.

OBJECTIVE:  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. DESIGN: 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-). SETTING: The study was conducted at a community hospital in Las Vegas, Nevada. PATIENTS: 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. INTERVENTIONS: 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. RESULTS:  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. CONCLUSIONS:  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.

Prediction of prognosis and outcome of patients with pulmonary embolism in the emergency department using early warning scores and qSOFA score.

OBJECTIVE: To determine the prediction ability of the National Early Warning Score (NEWS), National Early Warning Score 2 (NEWS2), and quick Sequential Organ Failure Assessment (qSOFA) score for the prognosis of pulmonary embolism (PE) in the emergency department. METHODS: This retrospective study involved 245 patients with PE. The NEWS, NEWS2, and qSOFA scores were compared according to the hospitalization clinic (ward vs. intensive care unit), hospitalization length (<10 vs. >10 days), severity of embolism (massive vs. submassive), and outcome (discharged vs. died). RESULTS: The areas under the curve of the NEWS, NEWS2, and qSOFA score for 1-week mortality were 0.854 (sensitivity, 78%; specificity, 73%; cutoff, 7.5; confidence interval, 0.807-0.902), 0.870 (sensitivity, 83%; specificity, 73%; cutoff, 5.5; confidence interval, 0.825-0.915), and 0.789 (sensitivity, 83%; specificity, 51%; cutoff, 0.5; confidence interval, 0.720-0.858), respectively. CONCLUSION: The NEWS2 more accurately predicts 1-week mortality than do the NEWS and qSOFA score in patients with PE.

National Early Warning Score and New-Onset Atrial Fibrillation for Predicting In-Hospital Mortality or Transfer to the Intensive Care Unit in Emergency Department Patients with Suspected Bacterial Infections.

Purpose: There are conflicting data regarding the role of the National Early Warning Score 2 (NEWS2) in predicting adverse outcomes in patients with infectious diseases. New-onset atrial fibrillation (NO-AF) has been suggested as a sepsis-defining sign of organ dysfunction. This study aimed to examine the prognostic accuracy of NEWS2 and whether NO-AF can provide prognostic information in emergency department (ED) patients with suspected bacterial infections. Patients and Methods: Secondary analyses of data from a prospective observational cohort study of adults admitted in a 6-month period with suspected bacterial infections. We used the composite endpoint of in-hospital mortality or transfer to the intensive care unit as the primary outcome. The prognostic accuracy of NEWS2 and quick sequential organ failure assessment (qSOFA) and covariate-adjusted area under the receiver operating curves (AAUROC) were used to describe the performance of the scores. Logistic regression analysis was used to examine the association between NO-AF and the composite endpoint. Results: A total of 2055 patients were included in this study. The composite endpoint was achieved in 198 (9.6%) patients. NO-AF was observed in 80 (3.9%) patients. The sensitivity and specificity for NEWS2 ≥5 were 70.2% (63.3-76.5) and 60.2% (57.9-62.4), respectively, and those for qSOFA ≥2 were 26.3% (20.3-33.0) and 91.0% (89.6-92.3), respectively. AAUROC for NEWS2 and qSOFA were 0.68 (0.65-0.73) and 0.63 (0.59-0.68), respectively. The adjusted odds ratio for achieving the composite endpoint in 48 patients with NO-AF who fulfilled the NEWS2 ≥5 criteria was 2.71 (1.35-5.44). Conclusion: NEWS2 had higher sensitivity but lower specificity and better, albeit poor, discriminative ability to predict the composite endpoint compared to qSOFA. NO-AF can provide important prognostic information.

Acute Biliary Pancreatitis Management during the Coronavirus Disease 2019 Pandemic.

(1) Objective: We aimed to analyze and describe the management of acute biliary pancreatitis (ABP) during the coronavirus disease 2019 (COVID-19) pandemic. (2) Methods: This was a retrospective cohort study among patients with ABP during a control period (16 March 2019 to 15 March 2020; period 1) and a COVID-19 period (16 March 2020 to 15 March 2021; period 2). (3) Results: We included 89 patients with ABP, being 58 in period 1 and 31 in period 2. The mean patient age was 62.75 ± 16.59 years, and 51 (57.3%) patients were women. The Quick Sequential Organ Failure Assessment score for sepsis and World Society of Emergency Surgery Sepsis Severity Score were significantly higher among patients in period 2. Twenty-two patients (37.9%) in period 1 and six (19.3%) in period 2 underwent cholecystectomy. There were no significant differences in surgical interventions between the two periods. The hospital mortality rate was 3.4 and 19.3% in period 1 and period 2, respectively. Mortality was significantly higher in period 2. Conclusion: During the COVID-19 pandemic, we observed a significant reduction in the number of patients with ABP but increased severity and mortality. Multicenter studies with more patients are needed to obtain additional evidence regarding ABP management during the COVID-19 pandemic.