Quick Sequential Organ Failure Assessment Research Articles

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

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. 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. 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. 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.

The Usefulness of Strain Echocardiography as Diagnostic and Prognostic Index of Cardiac Dysfunction in Septic Patients in Correlation with Cardiac Biomarkers.

Compared to standard echocardiography, speckle tracking echocardiography (STE) looks more accurate for the detection of subclinical dysfunction of the myocardium. The aim of our work was to assess the value of STE in the diagnosis of subclinical ventricular dysfunction and as a prognostic index in sepsis patients. An observational prospective study involving critically ill patients aged ≥ 18 years diagnosed with sepsis or septic shock. All patients were subjected to full history-taking, clinical assessment, and scoring system, including Acute Physiology and Chronic Health (APACHE) II score and quick sequential organ failure assessment score. Investigations were done for all patients, including laboratory (complete blood count, C-reactive protein, N-terminal pro-brain natriuretic peptide [NT-proBNP], and troponin-I and serum lactate level), ECG, and echocardiographic examination (conventional and speckle tracking) for measurement of global left ventricular strain. This study involved 50 patients, nine patients with sepsis and 41 patients with septic shock. Regarding cardiac biomarkers, the mean value of troponin-I was 0.18 ± 0.05 ng/L and for NT-proBNP was 1228.2 ± 832.9 pmol/L. All patients in the study had elevated lactate levels. There was a significant correlation between global longitudinal strain (GLS) and troponin I, NT-proBNP, and lactate levels after 3 days of admission. GLS, lactate, NT-proBNP, troponin levels, and APACHE II Score were significant predictors of mortality with a sensitivity of 76.5%, 88.2%, 88.2%, 76.5%, and 88.2%, respectively. GLS measured by speckle tracking echocardiography looks to be a sensitive diagnostic tool for early detection of subclinical left ventricular dysfunction in patients with sepsis in addition to be a sensitive predictor of in-hospital mortality.

Comprehensive analysis of clinical outcomes, infectious complications and microbiological data in newly diagnosed multiple myeloma patients: a retrospective observational study of 92 subjects

Patients with multiple myeloma (MM) have an increased risk of sepsis due to underlying disease- and treatment-related immunosuppression. However, data on sepsis incidence, causative pathogens, and impact on outcomes in newly diagnosed MM (NDMM) are limited. We conducted a retrospective observational study of 92 NDMM patients who developed sepsis between 2022 and 2023 at a tertiary care center in Italy. Patient characteristics, sepsis criteria [Quick Sequential Organ Failure Assessment, Systemic Inflammatory Response Syndrome (SIRS)], microbiology results, and associations with progression-free survival (PFS) were analyzed. In this cohort of 92 critically-ill patients, pathogenic organisms were identified via microbiological culture in 74 cases. However, among the remaining 18 culture-negative patients, 9 exhibited a SIRS score of 2 and another 9 had a SIRS score of 4, suggestive of a clinical presentation consistent with sepsis despite negative cultures. Common comorbidities included renal failure (60%), anemia (71%), and bone disease (83%). Gram-negative (28%) and Gram-positive (23%) bacteria were frequent causative organisms, along with fungi (20%). Cox Univariate analyses for PFS showed statically significant HR in patients with albumin ≥ 3.5 vs < 3.5 (HR = 5.04, p < 0.001), Karnofsky performance status ≥ 80 vs < 80 (HR = 2.01, p = 0.002), and early-stage vs late-stage disease by International Staging System (HR = 4.76 and HR = 12.52, both p < 0.001) and Revised International Staging System (R-ISS III vs R-ISS I, HR = 7.38, p < 0.001). Sepsis is common in NDMM and associated with poor outcomes. Risk stratification incorporating sepsis severity, comorbidities, and disease stage may help guide preventive strategies and optimize MM management.

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

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

Effect of the 1-h bundle on mortality in patients with suspected sepsis in the emergency department: a stepped wedge cluster randomized clinical trial.

The efficacy of the 1-h bundle for emergency department (ED) patients with suspected sepsis, which includes lactate measurement, blood culture, broad-spectrum antibiotics administration, administration of 30mL/kg crystalloid fluid for hypotension or lactate ≥ 4mmol/L, remains controversial. We carried out a pragmatic stepped-wedge cluster-randomized trial in 23 EDs in France and Spain. Adult patients with Sepsis-3 criteria or a quick sequential organ failure assessment (SOFA) score ≥ 2 or a lactate > 2mmol/L were eligible. The intervention was theimplementation of the 1-h sepsis bundle.The primary outcome was in-hospital mortality truncated at 28 days. Secondary outcomes included volume of fluid resuscitation at 24h, acute heart failure at 24h, SOFA score at 72h, intensive care unit (ICU) length of stay, number of days on mechanical ventilation or renal replacement therapy, vasopressor free days, unnecessary antibiotic administration, and mortality at 28days. 1148 patients were planned to be analysed; the study period ended after 873 patients were included. 872 patients (mean age 66, 42% female) were analyzed: 387 (44.4%) in the intervention group and 485 (55.6%) in the control group. Median SOFA score was 3 [1-5]. Median time to antibiotic administration was 40min in the intervention group vs 113min in the control group (difference - 73 [95% confidence interval (CI) - 93 to - 53]). There was a significantly higher rate, volume, and shorter time to fluid resuscitation within 3h in the intervention group. There were 47 (12.1%) in-hospital deaths in the intervention group compared to 61 (12.6%) in the control group (difference in percentage - 0.4 [95% CI - 5.1 to 4.2], adjusted relative risk (aRR) 0.81 [95% CI 0.48 to 1.39]). There were no differences between groups for other secondary endpoints. Among patients with suspected sepsis in the ED, the implementation of the 1-h sepsis bundle was not associated with significant difference in in-hospital mortality. However, this study may be underpowered to report a statistically significant difference between groups.

Predictive scores for critically ill obstetric patients in a resource‐limited setting: A retrospective validation of the Obstetric Early Warning Score.

Background. In South Africa (SA), an unacceptably high institutional maternal mortality rate persists due to failure to recognise critically ill patients. Early warning systems could assist in identifying these patients sooner. Objectives. We evaluated the Obstetric Early Warning Score (OEWS) as a predictor of maternal outcomes in an intensive care unit (ICU) and compared its prognostic validity with the Acute Physiology and Chronic Health Evaluation (APACHE) II and the quick Sequential Organ Failure Assessment score (qSOFA). Methods. Data were extracted on pregnant and post-partum ICU-admitted patients at a tertiary and regional centre in SA between October 2015 and April 2020. Clinical characteristics and outcomes were used to compare the three scoring systems. Results. Among 251 eligible patients, the mortality rate was 8.5%. The OEWS score failed to differentiate between survivors and non-survivors (odds ratio 1.13, 95% confidence intervals (CI) 0.972 - 1.311, p=0.113). APACHE II outperformed the OEWS (area under the receiver operating characteristics curve (AUROC) 0.69, 95% CI 0.540 - 0.846 v. 0.55, 95% CI 0.430 - 0.674). The OEWS (AUROC 0.55, 95% CI 0.430 - 0.674) and qSOFA (AUROC 0.60, 95% CI 0.500 - 0.703) showed no differences. Further analysis revealed that positive scoring for diastolic blood pressure and high systolic blood pressure weakened OEWS performance. Removing these variables improved OEWS prediction (AUROC 0.68). Conclusion. In a SA obstetric population, OEWS did not predict mortality in ICU-admitted patients and offered no advantages over APACHE II or qSOFA scores. Further research should identify critical outcome predictors for low-resource populations.

Correspondence to editorial on "Dynamic analysis of acute deterioration in chronic liver disease patients using modified quick sequential organ failure assessment".

Correspondence to editorial on "Dynamic analysis of acute deterioration in chronic liver disease patients using modified quick sequential organ failure assessment".

Assessing children who are acutely ill in general practice using the National PEWS and LqSOFA clinical scores: a retrospective cohort study.

Clinical tools are needed in general practice to help identify children who are seriously ill. The Liverpool quick Sequential Organ Failure Assessment (LqSOFA) was validated in an emergency department and performed well. The National Paediatric Early Warning System (PEWS) has been introduced in hospitals throughout England with hopes for implementation in general practice. To validate the LqSOFA and National PEWS in general practice. Secondary analysis of 6703 children aged <5 years presenting to 225 general practices in England and Wales with acute illnesses, linked to hospital data. Variables from the LqSOFA and National PEWS were mapped onto study data to calculate score totals. A primary outcome of admission within 2 days of GP consultation was used to calculate sensitivity, specificity, negative predictive values (NPVs), positive predictive values (PPVs), and area under the receiver operating characteristic curve (AUC). A total of 104/6703 children were admitted to hospital within 2 days (pre-test probability 1.6%) of GP consultation. The sensitivity of the LqSOFA was 30.6% (95% confidence interval [CI] = 21.8% to 41.0%), with a specificity of 84.7% (95% CI = 83.7% to 85.6%), PPV of 3.0% (95% CI = 2.1% to 4.4%), NPV of 98.7% (95% CI = 98.4% to 99.0%), and AUC of 0.58 (95% CI = 0.53 to 0.63). The sensitivity of the National PEWS was 81.0% (95% CI = 71.0% to 88.1%), with a specificity of 32.5% (95% CI = 31.2% to 33.8%), PPV of 1.9% (95% CI = 1.5% to 2.5%), NPV of 99.1% (95% CI = 98.4% to 99.4%), and AUC of 0.66 (95% CI = 0.59 to 0.72). Although the NPVs appear useful, owing to low pre-test probabilities rather than discriminative ability, neither tool accurately identified admissions to hospital. Unconsidered use by GPs could result in unsustainable referrals.

Post-Diarrheal Acute Kidney Injury During an Epidemic in Monsoon - A Retrospective Study from a Tertiary Care Hospital.

Acute kidney injury (AKI) is a severe complication of acute diarrheal diseases; however, there is limited data on post-diarrheal AKI (PD-AKI) epidemiology and outcomes. This study aimed to investigate the clinicodemographic profile and outcomes of PD-AKI in our hospital. We retrospectively analyzed data from 93 patients admitted with PD-AKI during a diarrheal illness epidemic. Patients were stratified based on the Kidney Disease: Improving Global Outcomes (KDIGO) AKI stage and quick Sequential Organ Failure Assessment (qSOFA) score. Clinicodemographic data and outcomes were recorded and analyzed. The mean age of the patients was 45.7 ± 11.9 years, with a majority being men (n = 55, 59%). All patients presented with watery diarrhea, 85% (n = 79) had vomiting, and 66% (n = 61) presented in shock. At presentation, 59% were oliguric, while 32% were anuric. KDIGO stage 3 AKI was observed in 71% (n = 66) of patients. Dialytic support was required in 29% (n = 27) of cases. The mortality rate was 6.5% (n = 6), mostly due to refractory shock, while the remaining patients recovered. Risk factor analysis demonstrated a higher qSOFA score, and peak serum creatinine levels were associated with an increased likelihood of requiring renal replacement therapy and delayed renal recovery. This study provides valuable insights into the clinicodemographic characteristics and outcomes of PD-AKI. The high prevalence of severe AKI emphasizes the importance of early recognition and appropriate management strategies for these patients.

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

BackgroundThere 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.MethodsPatients 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.ResultsAmong 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).ConclusionsIL-6 has higher accuracy in predicting septic shock after PCNL compared to qSOFA, SIRS, and NEWS.

The six scoring systems' prognostic value in predicting 24-hour mortality in septic patients.

The use of scoring systems contributes to the faster identification of septic patients, especially those at a high risk of a fatal outcome. The best scoring system does not exist, so the search for the optimal one is always current. The aim of this study is to estimate the prognostic value of the six scoring systems in predicting 24-hour mortality among septic patients presented at the emergency department. An observational retrospective study was conducted in the Emergency Triage Room (ETR) of the Emergency Center (EC) at the University Clinical Center of Serbia (UCCS) in Belgrade. Consecutive septic patients, according to the Sepsis-3 definition, with or without shock, presented to the ETR and then hospitalized in Intensive Care Units were included in the study. Mortality data within 24 h and on the 28th day were extracted from the Hospital information system or the National mortality database. Scoring systems including sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA), systemic inflammatory response syndrome (SIRS), National early warning score (NEWS), sepsis patient evaluation in the emergency department (SPEED), and mortality in emergency department sepsis (MEDS) were analyzed for all patients utilizing the available data. The primary outcome of this study was death within 24 hours of triage. Receiver operating characteristic (ROC) analysis was used to determine the most effective scoring system. Lactate was then added to this system to enhance its predictive accuracy. Nineteen out of 120 patients included in the study (15.8%) experienced death within 24 hours of triage. The twenty-eight-day mortality rate was 55%. SOFA score demonstrated the highest predictive value for 24-hour mortality but was only moderately predictive overall, with an area under the receiver operating curve (AUC) of 0.755 (95% CI 0.625-0.885). SPEED, MEDS, and NEVS exhibited modest discriminatory power [0.673 (95% CI 0.543-0.803), 0.665 (95% CI 0.536-0.794), 0.630 (95% CI 0.528-0.724)], while SIRS and qSOFA remained insignificant in predicting 24-hour mortality. The predictive value of the SOFA score was increased by the addition of lactate (AUC 0.865, 95% CI 0.736-0.995; p=0.0081). All scores demonstrated better and satisfactory predictive power for 28-day mortality. SOFA, with the addition of lactate, is a complex but reliable tool for the early stratification of septic patients who are presenting at an emergency department.

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

ABSTRACT 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 &lt; 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 &lt; 0.01). The difference in mortality rates between patients with and without co-morbidity (P &lt; 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.

Clinical characteristics, effectiveness and cost of different treatment methods for invasive Klebsiella pneumoniae liver abscess syndrome.

Bacterial liver abscess is one of the common infectious diseases of the digestive system. Invasive Klebsiella pneumoniae liver abscess syndrome (IKLAS) refers to cases where, in addition to liver abscess, there are migratory infections foci or other invasive manifestations. The clinical characteristics and risk factors of IKLAS are not fully elucidated, and there is a lack of research on the effectiveness and cost-effectiveness of different treatment methods. This study aims to compare the clinical characteristics of patients with IKLAS and non-IKLAS, and explore effective and economical treatment methods. This retrospective study collected medical records of patients with Klebsiella pneumoniae liver abscess treated at Xiangya Hospital of Central South University from January 2010 to December 2023. A total of 201 patients were included, dividing into an IKLAS group (n=37) and a non-IKLAS group (n=164). Differences in demographics, symptoms and signs, laboratory indicators, imaging characteristics, comorbidities, treatment methods, treatment outcomes, and direct treatment costs between 2 groups were analyzed. The study also compared the effectiveness and costs of different treatment methods. Compared with the non-IKLAS group, the proportion of patients with diabetes, Quick Sequential Organ Failure Assessment (qSOFA)≥2, immune deficiency, anemia, and thrombocytopenia in the IKLAS group was higher, and the level of procalcitonin at the onset in the IKLAS group was also higher (all P<0.05). In terms of symptoms and signs, the IKLAS group had a higher proportion of visual abnormalities and a lower proportion of complaints of abdominal pain (both P<0.05). In terms of complications, the incidence of combined pleural effusion, pulmonary infection, acute renal failure, respiratory failure, and multiple organ failure was higher in the IKLAS group (all P<0.05). The IKLAS group had a higher proportion of patients treated with antibiotics alone (24.32% vs 11.59%), while the non-IKLAS group had a higher proportion of patients treated with antibiotics combined with puncture and drainage (86.59% vs 64.86%, both P<0.05). The overall effective rate of the IKLAS group (83.78%) was lower than that of the non-IKLAS group (95.73%), and the treatment and drug costs were higher (all P<0.05). The treatment method of antibiotics combined with surgical resection of infectious foci showed a 100% improvement rate, antibiotics combined with abscess puncture and drainage had an 84.9% improvement rate, and in antibiotics alone had an 82.1% improvement rate, with statistical differences among the 3 treatment methods (P<0.05). In terms of treatment costs, antibiotics alone were the most expensive (P<0.05). Patients with IKLAS have poorer prognosis and higher direct medical costs. The combination of abscess puncture and drainage or surgery has a higher improvement rate and lower hospitalization costs compared to antibiotics alone, suggesting that surgical intervention may reduce antibiotic costs and save medical expenses.

Prediction of Poor Outcome Using the Urea to Albumin Ratio in Thoracic Empyema.

The prognostic performance of urea-to-albumin ratio (UAR) has been assessed in various pulmonary and nonpulmonary conditions, but never in thoracic empyema. Therefore, our aim was to determine whether this marker has the ability to predict outcome in such patients. A single-center retrospective study was conducted in a Clinic of Thoracic Surgery at a University Hospital between January 2021 and October 2023. A total of 84 patients who underwent emergency surgery due to thoracic empyema were involved. Serum levels of urea and albumin at admission were used to calculate UAR. We analyzed area under receiver operating characteristics (AUROC) curves of UAR, systemic inflammatory response syndrome (SIRS) and quick-sequential organ failure assessment (qSOFA), and compared their prognostic performance. The identified in-hospital mortality was 10.7%. The UAR showed the best ability to prognosticate mortality compared to qSOFA (AUROC = 0.828 vs 0.747) and SIRS (AUROC = 0.828 vs 0.676). We established a sensitivity of 87.5% and specificity of 74.2% at optimal cut-off value UAR > 51.1 for prediction of adverse outcome. In patients with thoracic empyema urea-to-albumin ratio showed significant prognostic performance and a potential for clinical application as a low cost and widely available predictor of death.

Serum lactate dehydrogenase improves significantly quick-Sequential Organ Failure Assessment score as a predictor of mortality in patients with thoracic empyema: A retrospective analysis

Serum lactate dehydrogenase improves significantly quick-Sequential Organ Failure Assessment score as a predictor of mortality in patients with thoracic empyema: A retrospective analysis

Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality.

Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.

Prevalence and predictors of multidrug-resistant bacteremia in liver cirrhosis.

Improved knowledge of local epidemiology and predicting risk factors of multidrug-resistant (MDR) bacteria are required to optimize the management of infections. This study examined local epidemiology and antibiotic resistance patterns of liver cirrhosis (LC) patients and evaluated the predictors of MDR bacteremia in Korea. This was a retrospective study including 140 LC patients diagnosed with bacteremia between January 2017 and December 2022. Local epidemiology and antibiotic resistance patterns and the determinants of MDR bacteremia were analyzed using logistic regression analysis. The most frequently isolated bacteria, from the bloodstream, were Escherichia coli (n = 45, 31.7%) and Klebsiella spp. (n = 35, 24.6%). Thirty-four isolates (23.9%) were MDR, and extended-spectrum beta-lactamase E. coli (52.9%) and methicillin-resistant Staphylococcus aureus (17.6%) were the most commonly isolated MDR bacteria. When Enterococcus spp. were cultured, the majority were MDR (MDR 83.3% vs. 16.7%, p = 0.003), particularly vancomycin-susceptible Enterococcus faecium. Antibiotics administration within 30 days and/or nosocomial infection was a significant predictor of MDR bacteremia (OR: 3.40, 95% CI: 1.24-9.27, p = 0.02). MDR bacteremia was not predicted by sepsis predictors, such as positive systemic inflammatory response syndrome (SIRS) or quick Sequential Organ Failure Assessment (qSOFA). More than 70% of strains that can be treated with a third-generation cephalosporin have been cultured. In cirrhotic patients, antibiotic administration within 30 days and/or nosocomial infection are predictors of MDR bacteremia; therefore, empirical administration of broad-spectrum antibiotics should be considered when these risk factors are present.

Sepsis death risk factor score based on systemic inflammatory response syndrome, quick sequential organ failure assessment, and comorbidities

ObjectiveIn this study, we aimed to evaluate the death risk factors of patients included in the sepsis protocol bundle, using clinical data from qSOFA, SIRS, and comorbidities, as well as development of a mortality risk score. DesignThis retrospective cohort study was conducted between 2016 and 2021. SettingTwo university hospitals in Brazil. ParticipantsPatients with sepsis. InterventionsSeveral clinical and laboratory data were collected focused on SIRS, qSOFA, and comorbidities. Main variable of interestIn-hospital mortality was the primary outcome variable. A mortality risk score was developed after logistic regression analysis. ResultsA total of 1,808 patients were included with a death rate of 36%. Ten variables remained independent factors related to death in multivariate analysis: temperature ≥38 °C (odds ratio [OR] = 0.65), previous sepsis (OR = 1.42), qSOFA ≥ 2 (OR = 1.43), leukocytes >12,000 or <4,000 cells/mm3 (OR = 1.61), encephalic vascular accident (OR = 1.88), age >60 years (OR = 1.93), cancer (OR = 2.2), length of hospital stay before sepsis >7 days (OR = 2.22,), dialysis (OR = 2.51), and cirrhosis (OR = 3.97). Considering the equation of the binary regression logistic analysis, the score presented an area under curve of 0.668, is not a potential model for death prediction. ConclusionsSeveral risk factors are independently associated with mortality, allowing the development of a prediction score based on qSOFA, SIRS, and comorbidities data, however, the performance of this score is low.

Sepsis death risk factor score based on systemic inflammatory response syndrome, quick sequential organ failure assessment, and comorbidities

ObjectiveIn this study, we aimed to evaluate the death risk factors of patients included in the sepsis protocol bundle, using clinical data from qSOFA, SIRS, and comorbidities, as well as development of a mortality risk score. DesignThis retrospective cohort study was conducted between 2016 and 2021. SettingTwo university hospitals in Brazil. ParticipantsPatients with sepsis. InterventionsSeveral clinical and laboratory data were collected focused on SIRS, qSOFA, and comorbidities. Main variable of interestIn-hospital mortality was the primary outcome variable. A mortality risk score was developed after logistic regression analysis. ResultsA total of 1,808 patients were included with a death rate of 36%. Ten variables remained independent factors related to death in multivariate analysis: temperature ≥38 °C (odds ratio [OR] = 0.65), previous sepsis (OR = 1.42), qSOFA ≥ 2 (OR = 1.43), leukocytes >12,000 or <4,000 cells/mm3 (OR = 1.61), encephalic vascular accident (OR = 1.88), age >60 years (OR = 1.93), cancer (OR = 2.2), length of hospital stay before sepsis >7 days (OR = 2.22,), dialysis (OR = 2.51), and cirrhosis (OR = 3.97). Considering the equation of the binary regression logistic analysis, the score presented an area under curve of 0.668, is not a potential model for death prediction. ConclusionsSeveral risk factors are independently associated with mortality, allowing the development of a prediction score based on qSOFA, SIRS, and comorbidities data, however, the performance of this score is low.

Diastolic/systolic blood pressure ratio for predicting febrile children with sepsis and progress to septic shock in the emergency department

ObjectiveGiven the scarcity of studies analyzing the clinical predictors of pediatric septic cases that would progress to septic shock, this study aimed to determine strong predictors for pediatric emergency department (PED) patients with sepsis at risk for septic shock and mortality.MethodsWe conducted chart reviews of patients with ≥ 2 age-adjusted quick Sequential Organ Failure Assessment score (qSOFA) criteria to recognize patients with an infectious disease in two tertiary PEDs between January 1, 2021, and April 30, 2022. The age range of included patients was 1 month to 18 years. The primary outcome was development of septic shock within 48 h of PED attendance. The secondary outcome was sepsis-related 28-day mortality. Initial important variables in the PED and hemodynamics with the highest and lowest values during the first 24 h of admission were also analyzed.ResultsOverall, 417 patients were admitted because of sepsis and met the eligibility criteria for the study. Forty-nine cases progressed to septic shock within 48 h after admission and 368 were discharged without progression. General demographics, laboratory data, and hemodynamics were analyzed by multivariate analysis. Only the minimum diastolic blood pressure/systolic blood pressure ratio (D/S ratio) during the first 24 h after admission remained as an independent predictor of progression to septic shock and 28-day mortality. The best cutoff values of the D/S ratio for predicting septic shock and 28-day mortality were 0.52 and 0.47, respectively.ConclusionsThe D/S ratio is a practical bedside scoring system in the PED and had good discriminative ability in predicting the progression of septic shock and in-hospital mortality in PED patients. Further validation is essential in other settings.