Affinity-based 3D-printed microfluidic chip for clinical sepsis detection with CD69, CD64, and CD25.

Sepsis is a life-threatening immune response to infection in the body, eventually resulting in fatal organ failure. Current methods utilize blood cultures and quick-Sequential-Organ-Failure-Assessment (qSOFA), but there is a need for more accurate and time-sensitive diagnostic methods to improve survival rates. We present a 3D-printed microfluidic chip that bioconjugates antibodies CD69, CD64, and CD25 to channel surfaces to capture sepsis cells in blood samples and validate it with clinical samples (n = 125 septic, n = 10 healthy). Other variables were taken such as healthy volunteer blood samples and patient demographics to validate and confirm our device's diagnostic ability. Statistical differences were found between healthy volunteer and sepsis patient antigen cell counts (CD69 p-value < 0.001, CD64 p-value < 0.004, CD25 p-value < 0.0009), and were confirmed using principal component analysis. Demographics such as length of stay, age, culture results, and need for surgery also factored into sepsis detection on a smaller scale than the antigen cell counts. The receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) of 0.989, 0.988, and 0.992 for CD69, CD64, and CD25, respectively, and a combined biomarker panel of 0.997. Overall, the device performed within a shorter time frame of 4 h compared to standard blood culture tests and was validated for use in detecting sepsis in patients.

Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia.

Background: Clinical severity scores can identify patients at risk of severe disease and death, and improve patient management. The modified early warning score (MEWS), the quick Sequential (Sepsis-Related) Organ Failure Assessment (qSOFA), and the Universal Vital Assessment (UVA) were developed as risk-stratification tools, but they have not been fully validated in low-resource settings where fever and infectious diseases are frequent reasons for health care seeking. We assessed the performance of MEWS, qSOFA, and UVA in predicting mortality among febrile patients in the Lao PDR, Malawi, Mozambique, and Zimbabwe. Methods: We prospectively enrolled in- and outpatients aged ≥ 15 years who presented with fever (≥37.5 °C) from June 2018-March 2021. We collected clinical data to calculate each severity score. The primary outcome was mortality 28 days after enrolment. The predictive performance of each score was determined using area under the receiver operating curve (AUC). Findings: A total of 2797 participants were included in this analysis. The median (IQR) age was 32 (24-43) years, 38% were inpatients, and 60% (1684/2797) were female. By the time of follow-up, 7% (185/2797) had died. The AUC (95% CI) for MEWS, qSOFA and UVA were 0.67 (0.63-0.71), 0.68 (0.64-0.72), and 0.82 (0.79-0.85), respectively. The AUC comparison found UVA outperformed both MEWS (p < 0.001) and qSOFA (p < 0.001). Interpretation: We showed that the UVA score performed best in predicting mortality among febrile participants by the time follow-up compared with MEWS and qSOFA, across all four study sites. The UVA score could be a valuable tool for early identification, triage, and initial treatment guidance of high-risk patients in resource-limited clinical settings. Funding: FCDO.

Comparative analysis of scoring systems for predicting mortality in Fournier gangrene: single center, 15 years experience.

To compare 5 published scoring systems (Fournier gangrene severity index [FGSI], Uludag FGSI [UFGSI], age-adjusted Charlson Comorbidity Index [ACCI] and the Quick Sequential Organ Failure Assessment (qSOFA) and the Laboratory Risk Indicator for Necrotizing fasciitis (LRINEC) scores and to evaluate risk factors for outcome prediction in patients with Fournier gangrene (FG). Between 2010 and 2024, 311 patients were included in the study. The data of 276 survivors and 55 non-survivors were compared. Univariate and multivariate analyses were performed to determine which of the 5 scoring systems calculated according to demographic, laboratory and clinical data predicted mortality better. In addition, a cut-off value for these scoring systems was determined by ROC analysis. The mortality rate was 17.6% in FG patients. In all 5 scoring systems, univariate analyses showed higher values in non-survivor patients, while UFGSI and FGSI scoring systems were superior to other scoring systems in multivariate analyses (p < 0.001). ROC analysis using mortality-based sensitivity and specificity revealed that the optimal cut-off values for FGSI, UFGSI, ACCI, SOFA and LRINEC should be equal to or higher than 10, 12, 4, 2 and 8, respectively. UFGSI and FGSI scores had the highest AUC values among all scores. This was followed by ACCI, qSOFAand LRINEC. For a UFGSI score ≥ 12, the sensitivity was 84%, specificity 97%, PPV 85% and NPV 97%. Among the scoring systems used to predict mortality, UFGSI was the most accurate, while LRINEC was the least accurate.

SIRS criteria versus qSOFA score in patients with severe alcohol-related hepatitis.

Severe alcohol-related hepatitis (sAH) is a potentially life-threatening complication of alcohol-related liver disease. SIRS criteria have been related to disease severity and may be a prognostic factor. Recently, qSOFA has been shown to be more prognostically accurate than SIRS in other inflammatory conditions. To determine whether qSOFA is a better prognostic score than SIRS criteria in sAH. We included 62 consecutive patients admitted for sAH, defined by modified Maddrey DF ≥ 32. MELD-Na, SIRS criteria and qSOFA score were calculated. Survival at 180 days was assessed. Twenty-four patients (38.7%) died after 180 days. Three or more SIRS criteria and two or more qSOFA criteria were associated with 180-day mortality (LR = 12.09, p = 0.001; LR = 4.81, p = 0.028, respectively). Patients with MELD-Na >30 points died during follow-up more frequently (LR = 5.997; p = 0.014). SIRS respiratory criterion (B = 5.113; p = 0.023) and qSOFA respiratory criterion (B = 5.985; p = 0.05), bilirubin (>10 mg/dL; LR = 5.43, p = 0.006), creatinine (>1 mg/dL; B = 5.885, p = 0.015) and hyponatraemia (LR= 5.75, p = 0.018) were associated with mortality. Cox Regression model revealed that only SIRS and MELD-Na were independent prognostic factors. SIRS criteria seem to be more useful for patients with sAH, as well as MELD-Na. In contrast, qSOFA has no independent prognostic value in patients with sAH.

CD64 Expression on Neutrophils (nCD64) as a Biomarker in Adult Patients With Sepsis: A Cross-Sectional Study.

Introduction Neutrophils that are at rest exhibit very low expression of CD64, the high-affinity immunoglobulin fragment crystallizable γ receptor I, which is also found in monocytes. Neutrophils that have been exposed to endotoxins or are infected express more CD64. Objectives The aim of this study was to assess the CD64 biomarker expression on neutrophils using the flow cytometry method and its comparison with total leukocyte count, C-reactive protein (CRP) level, and blood culture sensitivity test in the diagnosis of sepsis in adults. Materials and methods Using the quick Sequential Organ Failure Assessment (qSOFA) scoring criteria, 94 blood samples from individuals with clinical indications of sepsis were included in this investigation. Samples were collected in K2 EDTA (ethylenediaminetetraacetic acid) vacutainers and analyzed for neutrophil CD64 (nCD64) levels using BD FACSLyricTM flow cytometer (BD, Franklin Lakes, NJ) within 24 hours of collection. Total leukocyte count, CRP levels, and blood culture sensitivity tests were also assessed simultaneously. Results Majority of the patients, i.e., 29 (30.9%), belonged to the age group of 19 to 35 years, with a female preponderance. The mean total leukocyte count was 19.49 ± 8.12 x 103/µL, mean CRP level was 81.19 ± 56.33 mg/dL, and the mean nCD64 expression - median fluorescence intensity was 197.26 ± 79.56. A positive blood culture was found in 59 (62.8%) cases. Neutrophils showed bright expression of nCD64 in 39 (41.5%) patients, dim expression in 35 (37.2%) patients, and moderate expression in 20 (21.3%) patients in the present study. The correlation between nCD64 expression with CRP, total leukocyte count, and blood culture sensitivity test was statistically significant (p=0.001). nCD64 expression showed a sensitivity of 93.2% and specificity of 91.4% for diagnosing sepsis, with an area under the curve (AUC) of 0.973. This proves nCD64 to be a highly effective biomarker compared to conventional methods. Conclusion nCD64 has a higher sensitivity and specificity as compared to total leukocyte count, CRP levels, and blood culture sensitivity test in the diagnosis of sepsis. It is an effective and rapid test that can enhance sepsis diagnostic accuracy, when combined with other biomarkers. Multicentric research needs to be conducted to validate these findings.

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.

Contributions of individual qSOFA elements to assessment of severity and for prediction of mortality.

BACKGROUND: The quick sequential [sepsis-related] organ failure assessment (qSOFA) acts as a prompt to consider possible sepsis. The contributions of individual qSOFA elements to assessment of severity and for prediction of mortality remain unknown. METHODS: A total of 3974 patients with community-acquired pneumonia were recruited to an observational prospective cohort study. The area under the receiver operating characteristic curve (AUROC), odds ratio, relative risk and Youden's index were employed to assess discrimination. RESULTS: Respiratory rate ≥22/min demonstrated the most superior diagnostic value, indicated by largest odds ratio, relative risk and AUROC, and maximum Youden's index for mortality. However, the indices for altered mentation and systolic blood pressure (SBP) ≤100 mm Hg decreased notably in turn. The predictive validities of respiratory rate ≥22/min, altered mentation and SBP ≤100 mm Hg were good, adequate and poor for mortality, indicated by AUROC (0.837, 0.734 and 0.671, respectively). Respiratory rate ≥22/min showed the strongest associations with SOFA scores, pneumonia severity index, hospital length of stay and costs. However, SBP ≤100 mm Hg was most weakly correlated with the indices. CONCLUSIONS: Respiratory rate ≥22/min made the greatest contribution to parsimonious qSOFA to assess severity and predict mortality. However, the contributions of altered mentation and SBP ≤100 mm Hg decreased strikingly in turn. It is the first known prospective evidence of the contributions of individual qSOFA elements to assessment of severity and for prediction of mortality, which might have implications for more accurate clinical triage decisions.

Respiratory rate ≥22/min demonstrated the most superior diagnostic value.Respiratory rate ≥22/min showed the strongest association with severity.Respiratory rate ≥22/min, altered mentation and SBP ≤100 mm Hg predicted mortality well, adequately and poorly, respectively.

Importance of qSOFA Score in Terms of Prognosis and Mortality in Critical Care Patients.

Background: Recent studies have analyzed the qSOFA (quick sequential organ failure assessment) score as a prognostic indicator in many diseases, particularly sepsis. However, the effect of qSOFA score on prognosis and mortality in critical care patients has not been sufficiently analyzed. There is not enough data, especially regarding its use as critical care mortality and prognosis scoring. In this study, we aimed to analyze the effect of qSOFA score on mortality and prognosis in critical care unit (CCU) patients. Methods: This study was conducted retrospectively using the chart review method. The APACHE II (Acute Physiology and Chronic Health Evaluation II) and SOFA (Sequential Organ Failure Assessment) scores of patients admitted to our CCU were compared with the qSOFA score. In addition, the need for intubation and mechanical ventilation, short- and long term mortality rates, the relationship between blood gas lactate values and qSOFA score were analyzed. Results: A total of 1816 patients were included in the study. During critical care follow-up, 374 (20.6%) of our patients died, and at the end of 6 months, 796 (43.8%) of our patients died. A statistically significant association was found between in-hospital mortality and qSOFA, SOFA scores and lactate levels (P = 0.001, P = 0.001, P = 0.01 respectively). A statistically significant association was found between 6-month mortality and SOFA score only. (P = 0.001) The SOFA score appeared to be the most successful predictor of mortality. The cut-off for mortality using the ROC curve was ≥ 7 [sensitivity 78.1%; specificity 85.9%; AUC 0.91; 95% confidence interval (CI), 0.89 to 0.92; P = 0.001]. qSOFA scoring also performed well. The cut-off value for mortality using the ROC curve was ≥ 2 (sensitivity 42.5%; specificity 93.9%; AUC 0.83;95% CI, 0.80-0.85; P = 0.001). Conclusion: We believe that the qSOFA score can be used as a marker for in-hospital mortality and prognosis in critical care patients. Especially in cases where the qSOFA score is ≥ 2, it provides valuable information regarding mortality and prognosis.

Determining Outcomes in Nonpenetrating Trauma With qSOFA.

INTRODUCTION: The quick Sequential Organ Failure Assessment (qSOFA) score identifies patients with suspected infection at high risk for adverse outcomes. The qSOFA score is the sum of three variables (respiratory rate, systolic blood pressure, and Glasgow Coma Score) with binary thresholds. The role of qSOFA in predicting hospitalization outcomes in nonpenetrating trauma patients was determined at a level 1 and a level 2 trauma center. METHODS: The trauma registries at the two institutions were queried for adult (18+ y) and pediatric (0-17 y) nonpenetrating trauma hospitalizations between January 1, 2019 and September 30, 2021. RESULTS: At institution A, there were 3720 adult hospitalizations (qSOFA = 0: 2906 patients, qSOFA = 1: 677, qSOFA = 2: 124, qSOFA = 3: 13) and 418 pediatric hospitalizations (qSOFA = 0: 238 patients, qSOFA = 1: 159, qSOFA = 2: 20, qSOFA = 3: 1). At institution B, there were 3579 adult hospitalizations (qSOFA = 0: 2638 patients, qSOFA = 1: 816, qSOFA = 2: 121, qSOFA = 3: 4) and 429 pediatric hospitalizations (qSOFA = 0: 273 patients, qSOFA = 1: 149, qSOFA = 2: 6, qSOFA = 3: 1). In adults at both institutions, increased qSOFA was significantly associated with higher mortality rates. Intensive care unit (ICU) admission increased at institution A and increased at institution B to qSOFA = 2. In multivariable analyses, qSOFA predicted ICU admission and mortality. Pediatric patients had low injury severity, morbidity, and mortality. Excluding the one early qSOFA = 3 mortality, higher qSOFA scores were associated with increased ICU admission in pediatric patients. CONCLUSIONS: Elevated qSOFA scores are associated with ICU admission and mortality in adult nonpenetrating trauma patients. Further investigation on qSOFA for resource allocation is indicated.

Potential role of mitochondrial uncoupling protein 2 as a biomarker in patients with sepsis and septic shock: A prospective observational study.

Background and Aims: Early diagnosis of sepsis is crucial. The primary objective of this study was to explore the role of uncoupling protein 2 (UCP2) in diagnosing sepsis and septic shock. Methods: This prospective observational study was conducted over 19 months. All adult patients aged more than 18 years with a diagnosis of sepsis or septic shock based on quick sequential organ failure assessment (qSOFA) score were enroled. Blood was drawn for procalcitonin (PCT) and UCP2 on days 0, 3, 7 and 28. Blood samples from 50 healthy volunteers were used as controls. An electrochemiluminescence test was done for PCT. A quantitative enzyme-linked immune sorbent assay was used for UCP2. The Chi-square test was used for qualitative variables and the independent t-test for quantitative variables. The receiver operator characteristic curve was used to evaluate the diagnostic efficacy of UCP2. Results: A total of 128 subjects were included in the study. Out of these, 78 patients (qSOFA score ≥2) were subcategorised into the infection group, sepsis or septic shock group based on the PCT levels. The UCP2 levels in the infection, sepsis or septic shock group were significantly higher than in the control group (P > 0.001). The UCP2 levels correlated with PCT on admission, day 3 and day 7. Conclusion: The UCP2 levels were significantly higher in sepsis and septic shock groups compared to controls and hence could be a potential diagnostic biomarker of sepsis.

A comparative study between first three waves of COVID-19 pandemic with respect to risk factors, initial clinic-demographic profile, severity and outcome.

Introduction: During the 2 years and 9 months from March 2020 to December 2022, the SARS-CoV-2 virus raged across the country. Cases occurred in three particular time clusters recognised by World Health Organisation as coronavirus disease 2019 (COVID-19) waves. In this study, we compare the clinical parameters of adult non-obstetric COVID-19 patients admitted to our rural tertiary care hospital during the three distinct waves of the pandemic. Materials and Methods: Retrospective chart analysis of 272, 853 and 97 patients admitted with SARS-CoV-2 infection to the only rural medical tertiary care centre in the Sunderbans of West Bengal in the first, second and third waves, respectively, was done after obtaining ethical and scientific clearance. Clinical [vital parameters, oxygen requirement, mental status, risk factor assessment, duration of hospital stay, modified-emergency warning score (m-EWS), quick Sequential Organ Failure Assessment (qSOFA), confusion, uraemia, respiratory rate, blood pressure, age ≥ 65 years (CURB65)], epidemiological variables (age, gender, and vaccination status), laboratory parameters and in-hospital outcome were recorded and analysed statistically. Results: Statistically significant (P < 0.05) m-EWS and qSOFA scores were recorded during the second wave of the pandemic. The second wave also recorded the highest mortality (14.89%) compared to the first (12.87%) and third (11.96%) waves, though this was not statistically significant. The highest duration of hospital stay was recorded in the first wave of the pandemic (mean = 9.99 days, P < 0.01). The difference in mortality rates between patients with and without co-morbidity (P < 0.05) was observed during Wave-1, across any pandemic wave, and overall but not in Wave-2 and Wave-3. Conclusion: The second wave of the COVID-19 pandemic was the most severe in comparison with the other two waves, while the outcome was poorer in those with co-morbidities, especially in the first wave.

Invasive Listeriosis in End-Stage Kidney Disease (ESKD) Patients Receiving Long-Term Dialysis: A 21-Year Case Series.

Background: Listeriosis is caused by the facultative anaerobic bacterium Listeria monocytogenes. Infection from Listeria-contaminated food or water is the main etiology. If Listeria travels outside the intestines, it can cause invasive listeriosis, such as sepsis, meningitis, and meningoencephalitis. Invasive illness is especially dangerous for pregnant women and their newborns, elderly people, and people with compromised immune systems or medical conditions such as end-stage kidney disease (ESKD) patients receiving long-term dialysis. Purpose: Describe the manifestations and hospital outcomes of invasive listeriosis and identify the risk factors for in-hospital and one-year mortality in ESKD patients receiving long-term dialysis. Patients and Methods: This retrospective observational study examined hospitalized patient records at a Taiwanese tertiary medical center from August 1, 2000, to August 31, 2021. ESKD patients on chronic dialysis were identified with invasive listeriosis by blood culture and discharge diagnosis. Over 21 years, we accurately recorded 26 cases. Results: ESKD patients on chronic dialysis with invasive listeriosis have a poor prognosis. Only 53.8% of chronic dialysis patients with invasive listeriosis survived their first hospital episode. 42.3% of hospitalized ESKD patients with invasive listeriosis survived one year later. In univariate analysis, shock, tachypnea (RR ≥ 22), respiratory failure, qSOFA score ≥ 2, and lower initial platelet count were linked to greater in-hospital mortality rates. Conclusion: ESKD patients with invasive listeriosis have a grave prognosis. Our research reveals that an early blood sample for a bacterial culture may identify invasive listeriosis in chronic dialysis patients with fever, nausea or vomiting, confusion, and respiratory distress. This study is the first to identify a lower platelet count and qSOFA score ≥ 2 as markers of high-risk invasive listeriosis in ESKD patients.

The value of IL-6, PCT, qSOFA, NEWS, and SIRS to predict septic shock after Percutaneous nephrolithotomy.

BACKGROUND: There are numerous methods available for predicting sepsis following Percutaneous Nephrolithotomy. This study aims to compare the predictive value of Quick Sequential Organ Failure Assessment (qSOFA), Systemic Inflammatory Response Syndrome (SISR), National Early Warning Score (NEWS), interleukin-6 (IL-6), and procalcitonin (PCT) for septicemia. METHODS: Patients who underwent percutaneous nephrolithotomy were included in the study and divided into a control group and a septic shock group. The effectiveness of qSOFA, SIRS, NEWS, Interleukin-6, and Procalcitonin was assessed, with Receiver Operating Characteristic curves and Area Under the Curve used to compare the predictive accuracy of these four indicators. RESULTS: Among the 401 patients, 16 cases (3.99%) developed septic shock. Females, elderly individuals, and patients with positive urine culture and positive nitrite in urine were found to be more susceptible to septic shock. PCT, IL-6, SIRS, NEWS, qSOFA, and surgical time were identified as independent risk factors for septic shock. The cutoff values are as follows: qSOFA score > 0.50, SIRS score > 2.50, NEWS score > 2.50, and IL-6 > 264.00 pg/ml. Among the 29 patients identified by IL-6 as having sepsis, 16 were confirmed to have developed sepsis. The qSOFA identified 63 septicemia cases, with 16 confirmed to have developed septicemia; NEWS identified 122 septicemia cases, of which 14 cases actually developed septicemia; SIRS identified 128 septicemia patients, with 16 confirmed to have developed septicemia. In terms of predictive ability, IL-6 (AUC 0.993, 95% CI 0.985 ~ 1) demonstrated a higher predictive accuracy compared to qSOFA (AUC 0.952, 95% CI 0.928 ~ 0.977), NEWS (AUC 0.824, 95% CI 0.720 ~ 0.929) and SIRS (AUC 0.928, 95% CI 0.888 ~ 0.969). CONCLUSIONS: IL-6 has higher accuracy in predicting septic shock after PCNL compared to qSOFA, SIRS, and NEWS.

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

BACKGROUND: The quick Sequential Sepsis-related Organ Failure Assessment (qSOFA) is a score that has been proposed to quickly identify patients at higher risk of death. OBJECTIVE: To describe the usefulness of the qSOFA score to predict in-hospital mortality in cancer patients. MATERIAL AND METHODS: Cross-sectional study carried out between January 2021 and December 2022. Hospital mortality was the dependent variable. The area under the ROC curve (AUC) was calculated to determine the discriminative ability of qSOFA to predict in-hospital mortality. RESULTS: A total of 587 cancer patients were included. A qSOFA score higher than 1 obtained a sensitivity of 57.2%, specificity of 78.5%, a positive predictive value of 55.4% and negative predictive value of 79.7%. The AUC of qSOFA for predicting in-hospital mortality was 0.70. In-hospital mortality of patients with qSOFA scores of 2 and 3 points was 52.7 and 64.4%, respectively. In-hospital mortality was 31.9% (187/587). CONCLUSION: qSOFA showed acceptable discriminative ability for predicting in-hospital mortality in cancer patients.

ANTECEDENTES: El quick Sequential Sepsis-related Organ Failure Assessment (qSOFA) es una puntuación propuesta para identificar de forma rápida a pacientes con mayor probabilidad de morir. OBJETIVO: Describir la utilidad de la puntuación qSOFA para predecir mortalidad hospitalaria en pacientes con cáncer. MATERIAL Y MÉTODOS: Estudio transversal realizado entre enero de 2021 y diciembre de 2022. La mortalidad hospitalaria fue la variable dependiente. Se calculó el área bajo la curva ROC (ABC) para determinar la capacidad discriminativa de qSOFA para predecir mortalidad hospitalaria. RESULTADOS: Se incluyeron 587 pacientes con cáncer. La puntuación qSOFA < 1 obtuvo una sensibilidad de 57.2 %, una especificidad de 78.5 %, un valor predictivo positivo de 55.4 % y un valor predictivo negativo de 79.7 %. El ABC de qSOFA para predecir mortalidad hospitalaria fue de 0.70. La mortalidad hospitalaria de los pacientes con qSOFA de 2 y 3 puntos fue de 52.7 y 64.4 %, respectivamente. La mortalidad hospitalaria fue de 31.9 % (187/587). CONCLUSIÓN: qSOFA mostró capacidad discriminativa aceptable para predecir mortalidad hospitalaria en pacientes con cáncer.

Procalcitonin and qSOFA as a Marker of Mortality in Sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. The qSOFA and procalcitonin are currently used for both diagnostic as well as prognostic purposes. OBJECTIVE: To explore the combined use of day one procalcitonin level and qSOFA scores for prognostication of sepsis-related mortality. DESIGN: This was a prospective observational study. PARTICIPANTS: All patients who fulfilled the inclusion criteria for sepsis with an age of more than 16 years were enrolled in the study. RESULTS: In this study of 211 patients, 15 patients died (7.1%) during hospital stay. Among the 15 patients who died, the highest mortality of 29.4% was seen in patients with qSOFA of "3", qSOFA of "2" had a mortality of 12.8%, qSOFA of "1" had a mortality of 1% and qSOFA of "0" had zero mortality. In this study, procalcitonin had a statistically significant positive correlation/association with both qSOFA and mortality. CONCLUSION: The qSOFA and procalcitonin at presentation to the emergency department in septic patients have a significant correlation with mortality in patients hospitalized with sepsis. Obtaining these two parameters at presentation will help in managing aggressively these patients who at presentation have higher qSOFA and procalcitonin levels.

Dynamic analysis of acute deterioration in chronic liver disease patients using modified quick sequential organ failure assessment.

BACKGROUND/AIMS: Quick sequential organ failure assessment (qSOFA) is believed to identify patients at risk of poor outcomes in those with suspected infection. We aimed to evaluate the ability of modified qSOFA (m-qSOFA) to identify high-risk patients among those with acutely deteriorated chronic liver disease (CLD), especially those with acute-onchronic liver failure (ACLF). METHODS: We used data from both the Korean Acute-on-Chronic Liver Failure (KACLiF) and the Asian Pacific Association for the Study of the Liver ACLF Research Consortium (AARC) cohorts. qSOFA was modified by replacing the Glasgow Coma Scale with hepatic encephalopathy, and an m-qSOFA ≥2 was considered high. RESULTS: Patients with high m-qSOFA had a significantly lower 1-month transplant-free survival (TFS) in both cohorts and higher organ failure development in KACLiF than those with low m-qSOFA (Ps<0.05). Subgroup analysis by ACLF showed that patients with high m-qSOFA had lower TFS than those with low m-qSOFA. m-qSOFA was an independent prognostic factor (hazard ratios, HR=2.604, 95% confidence interval, CI 1.353-5.013, P=0.004 in KACLiF and HR=1.904, 95% CI 1.484- 2.442, P<0.001 in AARC). The patients with low m-qSOFA at baseline but high m-qSOFA on day 7 had a significantly lower 1-month TFS than those with high m-qSOFA at baseline but low m-qSOFA on day 7 (52.6% vs. 89.4%, P<0.001 in KACLiF and 26.9% vs. 61.5%, P<0.001 in AARC). CONCLUSION: Baseline and dynamic changes in m-qSOFA may identify patients with a high risk of developing organ failure and short-term mortality among CLD patients with acute deterioration.

Predictive performance of NEWS and qSOFA in immunocompromised sepsis patients at the emergency department.

PURPOSE: Sepsis has a high incidence and a poor prognosis. Early recognition is important to facilitate timely initiation of adequate care. Sepsis screening tools, such as the (quick) Sequential Organ Failure Assessment ((q)SOFA) and National Early Warning Score (NEWS), could help recognize sepsis. These tools have been validated in a general immunocompetent population, while their performance in immunocompromised patients, who are particularly at risk of sepsis development, remains unknown. METHODS: This study is a post hoc analysis of a prospective observational study performed at the emergency department. Inclusion criteria were age ≥ 18 years with a suspected infection, while ≥ two qSOFA and/or SOFA criteria were used to classify patients as having suspected sepsis. The primary outcome was in-hospital mortality. RESULTS: 1516 patients, of which 40.5% used one or more immunosuppressives, were included. NEWS had a higher prognostic accuracy as compared to qSOFA for predicting poor outcome among immunocompromised sepsis patients. Of all tested immunosuppressives, high-dose glucocorticoid therapy was associated with a threefold increased risk of both in-hospital and 28-day mortality. CONCLUSION: In contrast to NEWS, qSOFA underestimates the risk of adverse outcome in patients using high-dose glucocorticoids. As a clinical consequence, to adequately assess the severity of illness among immunocompromised patients, health care professionals should best use the NEWS.

Value of modified qSOFA, glucose and lactate in predicting prognosis in children with sepsis in the PICU.

The purpose was to investigate how well age-adjusted modified quick Sequential Organ Failure Assessment (qSOFA) scores paired with blood glucose and lactate levels predict the outcomes of septicemic children in the pediatric intensive care unit (PICU). One hundred children who were diagnosed with sepsis and septic shock in the PICU of Henan Children's Hospital were eligible, and other 20 patients in the same hospital at different times were selected as a validation set. Respiratory rate (RR), heart rate (HR), capillary refill time (CRT), and Alert, Voice, Pain, Unresponsive (AVPU) scale were included in the age-adjusted modified qSOFA scoring criteria for scoring. The primary outcome was 28-day all-cause mortality. The predictive values were evaluated by the ROC curve. In the sepsis group, 50 patients were male, and 50 patients were female. The 28-day all-cause mortality rate was 52%. Fifty-one patients with age-adjusted modified qSOFA scores >1. The serum lactate level was 2.4 mmol/L, and the blood glucose level was 9.3 mmol/L. The AUCs for the age-adjusted modified qSOFA score, serum lactate and blood glucose levels for the prediction of 28-day all-cause mortality in children with sepsis were 0.719, 0.719 and 0.737, respectively. The cut-off values were one point, 3.8 mmol/L and 10 mmol/L, respectively. The AUC of the age-adjusted modified qSOFA score for the validation set of was 0.925. When the three indices were combined, the AUC was 0.817, the Hosmer-Lemeshow goodness-of-fit test showed χ2 = 2.428 and p = .965. When children with sepsis are admitted to the ICU, we recommend performing rapid scoring and rapid bedside lactate and glucose testing to determine the early prognosis.