UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

BACKGROUND: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.

暂无摘要。

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.

暂无摘要。

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.
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).
CONCLUSIONS: qSOFA showed acceptable discriminative ability for predicting in-hospital mortality in cancer patients.
BACKGROUND: 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.
OBJECTIVE: Describir la utilidad de la puntuación qSOFA para predecir mortalidad hospitalaria en pacientes con cáncer.
UNASSIGNED: 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.
RESULTS: 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).
UNASSIGNED: qSOFA mostró capacidad discriminativa aceptable para predecir mortalidad hospitalaria en pacientes con cáncer.