scholarly journals Prognostic Prediction Value of qSOFA, SOFA, and Admission Lactate in Septic Patients with Community-Acquired Pneumonia in Emergency Department

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Haijiang Zhou ◽  
Tianfei Lan ◽  
Shubin Guo
Keyword(s):  
Emergency Department ◽  
Mechanical Ventilation ◽  
Mortality Rate ◽  
Community Acquired Pneumonia ◽  
Prediction Performance ◽  
Secondary Outcome ◽  
Icu Admission ◽  
Severity Scores ◽  
Prognostic Prediction ◽  
Vasopressor Use

Background. Community-acquired pneumonia (CAP) is a leading cause of sepsis and common presentation to emergency department (ED) with a high mortality rate. The prognostic prediction value of sequential organ failure assessment (SOFA) and quick SOFA (qSOFA) scores in CAP in ED has not been validated in detail. The aim of this research is to investigate the prognostic prediction value of SOFA, qSOFA, and admission lactate compared with that of other commonly used severity scores (CURB65, CRB65, and PSI) in septic patients with CAP in ED. Methods. Adult septic patients with CAP admitted between Jan. 2017 and Jan. 2019 with increased admission SOFA ≥ 2 from baseline were enrolled. The primary outcome was 28-day mortality. The secondary outcome included intensive care unit (ICU) admission, mechanical ventilation, and vasopressor use. Prognostic prediction performance of the parameters above was compared using receiver operating characteristic (ROC) curves. Kaplan–Meier survival curves were compared using optimal cutoff values of qSOFA and admission lactate. Results. Among the 336 enrolled septic patients with CAP, 89 patients died and 247 patients survived after 28-day follow-up. The CURB65, CRB65, PSI, SOFA, qSOFA, and admission lactate levels were statistically significantly higher in the death group (P<0.001). qSOFA and SOFA were superior and the combination of qSOFA + lactate and SOFA + lactate outperformed other combinations of severity score and admission lactate in predicting both primary and secondary outcomes. Patients with admission qSOFA < 2 or lactate ≤ 2 mmol/L showed significantly prolonged survival than those patients with qSOFA ≥ 2 or lactate > 2 mmol/L (log-rank χ2 = 59.825, P<0.001). The prognostic prediction performance of the combination of qSOFA and admission lactate was comparable to the full version of SOFA (AUROC 0.833 vs. 0.795, Z = 1.378, P=0.168 in predicting 28-day mortality; AUROC 0.868 vs. 0.895, Z = 1.022, P=0.307 in predicting ICU admission; AUROC 0.868 vs. 0.845, Z = 0.921, P=0.357 in predicting mechanical ventilation; AUROC 0.875 vs. 0.821, Z = 2.12, P=0.034 in predicting vasopressor use). Conclusion. qSOFA and SOFA were superior to CURB65, CRB65, and PSI in predicting 28-day mortality, ICU admission, mechanical ventilation, and vasopressor use for septic patients with CAP in ED. Admission qSOFA with lactate is a convenient and useful predictor. Admission qSOFA ≥ 2 or lactate > 2 mmol/L would be very helpful in discriminating high-risk patients with a higher mortality rate.

scholarly journals Clinical, epidemiological, and etiological profile of inpatients with community-acquired pneumonia in a public hospital in the interior of Brazil

2018 ◽  
Vol 44 (4) ◽  
pp. 261-266 ◽  
Author(s):  
Laura Fuchs Bahlis ◽  
Luciano Passamani Diogo ◽  
Ricardo de Souza Kuchenbecker ◽  
Sandra Costa Fuchs
Keyword(s):  
Mechanical Ventilation ◽  
Multivariate Analysis ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Antibiotic Therapy ◽  
Public Hospital ◽  
Community Acquired Pneumonia ◽  
Factors Associated ◽  
Icu Admission ◽  
Patient Profile

ABSTRACT Objective: To describe the patient profile, mortality rates, the accuracy of prognostic scores, and mortality-associated factors in patients with community-acquired pneumonia (CAP) in a general hospital in Brazil. Methods: This was a cohort study involving patients with a clinical and laboratory diagnosis of CAP and requiring admission to a public hospital in the interior of Brazil between March 2014 and April 2015. We performed multivariate analysis using a Poisson regression model with robust variance to identify factors associated with in-hospital mortality. Results: We included 304 patients. Approximately 70% of the patients were classified as severely ill on the basis of the severity criteria used. The mortality rate was 15.5%, and the ICU admission rate was 29.3%. After multivariate analysis, the factors associated with in-hospital mortality were need for mechanical ventilation (OR: 3.60; 95% CI: 1.85-7.47); a Charlson Comorbidity Index score > 3 (OR: 1.30; 95% CI: 1.18-1.43); and a mental Confusion, Urea, Respiratory rate, Blood pressure, and age > 65 years (CURB-65) score > 2 (OR: 1.46; 95% CI: 1.09-1.98). The mean time from patient arrival at the emergency room to initiation of antibiotic therapy was 10 h. Conclusions: The in-hospital mortality rate of 15.5% and the need for ICU admission in almost one third of the patients reflect the major impact of CAP on patients and the health care system. Individuals with a high burden of comorbidities, a high CURB-65 score, and a need for mechanical ventilation had a worse prognosis. Measures to reduce the time to initiation of antibiotic therapy may result in better outcomes in this group of patients.

qSOFA as a new community-acquired pneumonia severity score in the emergency setting

2020 ◽  
pp. emermed-2019-208789
Author(s):  
Ornella Spagnolello ◽  
Giancarlo Ceccarelli ◽  
Cristian Borrazzo ◽  
Angela Macrì ◽  
Marianna Suppa ◽  
...  
Keyword(s):  
Emergency Department ◽  
Mortality Rate ◽  
Community Acquired Pneumonia ◽  
Mortality Prediction ◽  
Emergency Setting ◽  
Old Patients ◽  
Suspected Infection ◽  
Icu Admission ◽  
Prediction Of Mortality ◽  
Qsofa Score

BackgroundQuick Sequential Organ Failure Assessment (qSOFA) score is a bedside prognostic tool for patients with suspected infection outside the intensive care unit (ICU), which is particularly useful when laboratory analyses are not readily available. However, its performance in potentially septic patients with community-acquired pneumonia (CAP) needs to be examined further, especially in relation to early outcomes affecting acute management.ObjectiveFirst, to compare the performance of qSOFA and CURB-65 in the prediction of mortality in the emergency department in patients presenting with CAP. Second, to study patients who required critical care support (CCS) and ICU admission.MethodsBetween January and December 2017, a 1-year retrospective observational study was carried out of adult (≥18 years old) patients presenting to the emergency department (ED) of our hospital (Rome, Italy) with CAP. The accuracy of qSOFA, qSOFA-65 and CURB-65 was compared in predicting mortality in the ED, CCS requirement and ICU admission. The concordance among scores ≥2 was then assessed for 30-day estimated mortality prediction.Results505 patients with CAP were enrolled. Median age was 71.0 years and mortality rate in the ED was 4.7%. The areas under the curve (AUCs) of qSOFA-65, CURB-65 and qSOFA in predicting mortality rate in the ED were 0.949 (95% CI 0.873 to 0.976), 0.923 (0.867 to 0.980) and 0.909 (0.847 to 0.971), respectively. The likelihood ratio of a patient having a qSOFA score ≥2 points was higher than for qSOFA-65 or CURB-65 (11 vs 7 vs 6.7). The AUCs of qSOFA, qSOFA-65 and CURB-65 in predicting CCS requirement were 0.862 (95% CI 0.802 to 0.923), 0.824 (0.758 to 0.890) and 0.821 (0.754 to 0.888), respectively. The AUCs of qSOFA-65, qSOFA and CURB-65 in predicting ICU admission were 0.593 (95% CI 0.511 to 0.676), 0.585 (0.503 to 0.667) and 0.570 (0.488 to 0.653), respectively. The concordance between qSOFA-65 and CURB-65 in 30-day estimated mortality prediction was 93%.ConclusionqSOFA is a valuable score for predicting mortality in the ED and for the prompt identification of patients with CAP requiring CCS. qSOFA-65 may further improve the performance of this useful score, showing also good concordance with CURB-65 in 30-day estimated mortality prediction.

scholarly journals 94. Pneumonia Severity Scores Poorly Predict Severe Outcomes Among Adults Hospitalized with Influenza

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S8-S8
Author(s):  
Joshua Doyle ◽  
Shikha Garg ◽  
Alissa O’Halloran ◽  
Lauren Beacham ◽  
Charisse N Cummings ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
High Risk ◽  
Clinical Care ◽  
Pneumonia Severity Index ◽  
Cutoff Score ◽  
Surveillance Network ◽  
Pneumonia Severity ◽  
Icu Admission ◽  
Severe Influenza ◽  
Severity Scores

Abstract Background Influenza can lead to severe outcomes among adults hospitalized with influenza, and causes substantial annual morbidity and mortality. We evaluated the performance of validated pneumonia severity indices in predicting severe influenza-associated outcomes. Methods We conducted a multicenter study within CDC’s Influenza Hospitalization Surveillance Network (FluSurv-NET) which included adults (≥ 18 years) hospitalized with laboratory-confirmed influenza during the 2017–18 influenza season. Medical charts were abstracted to obtain data on vital signs and laboratory values at admission on a stratified random sample of cases at a subset of hospitals at 11 network sites. Estimates were weighted to reflect the probability of selection. Cases were assigned to low- and high-risk groups based on the CURB-65 (‘Confusion, Urea, Respiratory rate, Blood pressure, Age ≥65’) index (high-risk cutoff = score ≥ 3), and the Pneumonia Severity Index (PSI) (high-risk cutoff = category V). We calculated area under receiver operating characteristic curves (AUROC), sensitivity, and specificity to estimate the performance of each index in predicting severe outcome categories: (1) intensive care unit (ICU) admission, 2) noninvasive mechanical ventilation (NIMV), (3) mechanical ventilation (MV), vasopressors, extracorporeal membrane oxygenation (ECMO) and (4) death. Results Among 27,523 adults hospitalized with influenza, 8665 (31%) were sampled for inclusion in this analysis; median age was 70 years and 92% had ≥ 1 chronic condition. A total of 1,366 (16%) were classified as high-risk by CURB-65 and 1,249 (14%) by PSI. Both indices had low discrimination for severe outcomes; the AUROC for CURB-65 ranged from 0.55 for ICU admission to 0.65 for death, and for PSI ranged from 0.58 for ICU admission to 0.73 for death. Risk status by CURB-65 was less sensitive than PSI in predicting MV, vasopressor, or ECMO usage as well as death (figure). The specificity of CURB-65 and PSI was similar against all outcomes (figure). Conclusion The CURB-65 and PSI indices performed poorly in predicting severe outcomes other than death; PSI had the best discrimination overall. Alternative approaches are needed to predict severe influenza-related outcomes and optimize clinical care. Disclosures All Authors: No reported Disclosures.

scholarly journals Role of Plasma Presepsin, Procalcitonin and C-reactive Protein Levels in Determining the Severity and Mortality of Community-Acquired Pneumonia in the Emergency Department

2020 ◽  
Keyword(s):  
Emergency Department ◽  
Community Acquired Pneumonia ◽  
C Reactive Protein ◽  
Pneumonia Severity ◽  
Protein Levels ◽  
Reactive Protein ◽  
Imaging Results ◽  
Severity Scores ◽  
Significant Difference

Objective: In this study, we aimed to explore the role of the plasma presepsin level in patients with community-acquired pneumonia during admission to the emergency department in assessing the diagnosis, severity, and prognosis of the disease. In addition, we wanted to investigate the relationship of presepsinin with procalcitonin, C-reactive protein and pneumonia severity scores. Methods: One hundred twenty-three patients over the age of 18 who presented with a diagnosis of pneumonia to the emergency department were included in the study. The vital signs, symptoms, examination findings, background information, laboratory results, and radiological imaging results of the patients were recorded. The 30-day mortality rates of the patients were determined. Results: A statistically significant difference was found between the presepsin levels of the patients diagnosed with pneumonia and those of healthy subjects (p < 0.05). The plasma presepsin levels of the patients who died (8.63 ± 6.46) were significantly higher than those of the patients who lived (5.82 ± 5.97) (p < 0.05). The plasma procalcitonin and C-reactive protein levels of the dead patients were significantly higher than those living (p < 0.05). A presepsin cut-off value of 3.3 ng/mL for 30-day mortality was established (AUROC, 0.65; specificity, 45%; sensitivity, 82%). Procalcitonin is the most successful biomarker in the determination of mortality (AUROC, 0.70). A significant correlation was available between presepsin and lactate, C-reactive protein and procalcitonin (p < 0.05). There was a significant correlation between the Pneumonia Severity Index values and presepsin levels (p < 0.001, r = 0.311). Conclusion: The plasma presepsin level can be utilized for diagnosing community-acquired pneumonia. Plasma presepsin, procalcitonin and C-reactive protein levels can be used to predict the severity and mortality of community-acquired pneumonia.

scholarly journals Contribution of lung ultrasound in diagnosis of community-acquired pneumonia in the emergency department: a prospective multicentre study

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e046849
Author(s):  
François Javaudin ◽  
Nicolas Marjanovic ◽  
Hugo de Carvalho ◽  
Benjamin Gaborit ◽  
Quentin Le Bastard ◽  
...  
Keyword(s):  
Emergency Department ◽  
Lung Ultrasound ◽  
Community Acquired Pneumonia ◽  
Primary Objective ◽  
Secondary Outcome ◽  
Do Not Resuscitate ◽  
Diagnostic Uncertainty ◽  
Routine Diagnosis ◽  
Final Probability ◽  
Adjudication Committee

Lung ultrasound (LUS) can help clinicians make a timely diagnosis of community-acquired pneumonia (CAP).ObjectivesTo assess if LUS can improve diagnosis and antibiotic initiation in emergency department (ED) patients with suspected CAP.DesignA prospective observational study.SettingsFour EDs.ParticipantsThe study included 150 patients older than 18 years with a clinical suspicion of CAP, of which 2 were subsequently excluded (incorrect identification), leaving 148 patients (70 women and 78 men, average age 72±18 years). Exclusion criteria included a life-threatening condition with do-not-resuscitate-order or patient requiring immediate intensive care.InterventionsAfter routine diagnostic procedure (clinical, radiological and laboratory tests), the attending emergency physician established a clinical CAP probability according to a four-level Likert scale (definite, probable, possible and excluded). An LUS was then performed, and another CAP probability was established based on the ultrasound result. An adjudication committee composed of three independent experts established the final CAP probability at hospital discharge.Primary and secondary outcome measuresPrimary objective was to assess concordance rate of CAP diagnostic probabilities between routine diagnosis procedure or LUS and the final probability of the adjudication committee. Secondary objectives were to assess changes in CAP probability induced by LUS, and changes in antibiotic treatment initiation.ResultsOverall, 27% (95% CI 20 to 35) of the routine procedure CAP classifications and 77% (95% CI 71 to 84) of the LUS CAP classifications were concordant with the adjudication committee classifications. Cohen’s kappa coefficients between routine diagnosis procedure and LUS, according to adjudication committee, were 0.07 (95% CI 0.04 to 0.11) and 0.61 (95% CI 0.55 to 0.66), respectively. The modified probabilities for the diagnosis of CAP after LUS resulted in changes in antibiotic prescriptions in 32% (95% CI 25 to 40) of the cases.ConclusionIn our study, LUS was a powerful tool to improve CAP diagnosis in the ED, reducing diagnostic uncertainty from 73% to 14%.Trial registration numberNCT03411824.

scholarly journals Remdesivir Efficacy in COVID-19 Treatment: A Randomized Controlled Trial

2021 ◽  
Author(s):  
Sherief Abd-Elsalam ◽  
Ossama Ashraf Ahmed ◽  
Noha O. Mansour ◽  
Doaa H. Abdelaziz ◽  
Marwa Salama ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Mortality Rate ◽  
Hospital Stay ◽  
Standard Care ◽  
Controlled Trial ◽  
Length Of Hospital Stay ◽  
Final Analysis ◽  
Secondary Outcome ◽  
Control Group ◽  
Egyptian Patients

To date, no antiviral therapy has shown proven clinical effectiveness in treating patients with COVID-19. We assessed the efficacy of remdesivir in hospitalized Egyptian patients with COVID-19. Patients were randomly assigned at a 1:1 ratio to receive either remdesivir (200 mg on the first day followed by 100 mg daily for the next 9 days intravenously infused over 30–60 minutes) in addition to standard care or standard care alone. The primary outcomes were the length of hospital stay and mortality rate. The need for mechanical ventilation was assessed as a secondary outcome. Two hundred patients (100 in each group) completed the study and were included in the final analysis. The remdesivir group showed a significantly lower median duration of hospital stay (10 days) than the control group (16 days; P < 0.001). Eleven of the patients in the remdesivir group needed mechanical ventilation compared with eight patients in the control group (P = 0.469). The mortality rate was comparable between the two groups (P = 0.602). Mortality was significantly associated with older age, elevated C-reactive protein levels, elevated D-dimer, and the need for mechanical ventilation (P = 0.039, 0.003, 0.001, and < 0.001 respectively). Remdesivir had a positive influence on length of hospital stay, but it had no mortality benefit in Egyptian patients with COVID-19. Its use, in addition to standard care including dexamethasone, should be considered, particularly in low- and middle-income countries when other effective options are scarce.

scholarly journals Predictors of intensive care unit admission in patients with Legionella pneumonia: role of the time to appropriate antibiotic therapy

Infection ◽  
2020 ◽  
Author(s):  
Marco Falcone ◽  
Alessandro Russo ◽  
Giusy Tiseo ◽  
Mario Cesaretti ◽  
Fabio Guarracino ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Antibiotic Therapy ◽  
Tertiary Care ◽  
Initial Therapy ◽  
Community Acquired Pneumonia ◽  
Care Hospital ◽  
Icu Admission ◽  
Definitive Therapy

Abstract Purpose Legionella spp. pneumonia (LP) is a cause of community-acquired pneumonia (CAP) that requires early intervention. The median mortality rate varies from 4 to 11%, but it is higher in patients admitted to intensive care unit (ICU). The objective of this study is to identify predictors of ICU admission in patients with LP. Methods A single-center, retrospective, observational study conducted in an academic tertiary-care hospital in Pisa, Italy. Adult patients with LP consecutively admitted to study center from October 2012 to October 2019. Results During the study period, 116 cases of LP were observed. The rate of ICU admission was 20.7% and the overall 30-day mortality rate was 12.1%. Mortality was 4.3% in patients hospitalized in medical wards versus 41.7% in patients transferred to ICU (p < 0.001). The majority of patients (74.1%) received levofloxacin as definitive therapy, followed by macrolides (16.4%), and combination of levofloxacin plus a macrolide (9.5%). In the multivariate analysis, diabetes (OR 8.28, CI 95% 2.11–35.52, p = 0.002), bilateral pneumonia (OR 10.1, CI 95% 2.74–37.27, p = 0.001), and cardiovascular events (OR 10.91, CI 95% 2.83–42.01, p = 0.001), were independently associated with ICU admission, while the receipt of macrolides/levofloxacin therapy within 24 h from admission was protective (OR 0.20, CI 95% 0.05–0.73, p = 0.01). Patients who received a late anti-Legionella antibiotic (> 24 h from admission) underwent urinary antigen test later compared to those who received early active antibiotic therapy (2 [2–4] vs. 1 [1–2] days, p < 0.001). Conclusions Admission to ICU carries significantly increased mortality in patients with diagnosis of LP. Initial therapy with an antibiotic active against Legionella (levofloxacin or macrolides) reduces the probability to be transferred to ICU and should be provided in all cases until Legionella etiology is excluded.

Identifying the Sickest During Triage: Using Point-of-Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis

2021 ◽  
Vol 16 (8) ◽  
Author(s):  
Priya A Prasad ◽  
Margaret C Fang ◽  
Sandra P Martinez ◽  
Kathleen D Liu ◽  
Kirsten N Kangelaris
Keyword(s):  
Emergency Department ◽  
Hospital Mortality ◽  
Warning System ◽  
Shock Index ◽  
Operating Characteristics ◽  
Suspected Sepsis ◽  
Icu Admission ◽  
Test Characteristics ◽  
Severity Scores ◽  
Poor Outcomes

BACKGROUND: Sepsis progresses rapidly and is associated with considerable morbidity and mortality. Bedside risk stratification scores can quickly identify patients at greatest risk of poor outcomes; however, there is lack of consensus on the best scale to use. OBJECTIVE: To compare the ability of quick Sequential Organ Failure Assessment (qSOFA), the National Early Warning System (NEWS2), and the Shock Index—which does not require mental status assessment—to predict poor outcomes among patients with suspected sepsis during triage. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of adults presenting to an academic emergency department (ED) from June 2012 to December 2018 who had blood cultures and intravenous antibiotics within 24 hours. MAIN OUTCOMES AND MEASURES: Clinical data were collected from the electronic health record. Patients were considered positive at qSOFA ≥2, Shock Index >0.7, or NEWS2 ≥5 scores. We calculated test characteristics and area under the receiver operating characteristics curves (AUROCs) to predict in-hospital mortality and ED-to-intensive care unit (ICU) admission. RESULTS: We included 23,837 ED patients; 1,921(8.1%) were qSOFA-positive, 4,273 (17.9%) Shock Index-positive, and 11,832 (49.6%) NEWS2-positive. There were 1,427 (6.0%) deaths and 3,149 (13.2%) ED-to-ICU admissions in the sample. NEWS2 had the highest sensitivity for in-hospital mortality (76.0%) and ED-to-ICU admission (78.9%). qSOFA had the highest specificity for in-hospital mortality (93.4%) and ED-to-ICU admission (95.2%). Shock Index exhibited the highest AUROC for in-hospital mortality (0.648; 95 CI, 0.635-0.662) and ED-to-ICU admission (0.680; 95% CI, 0.617-0.689). Test characteristics were similar among those with sepsis. CONCLUSIONS: Institution priorities should drive score selection, balancing sensitivity and specificity. In our study, qSOFA was highly specific and NEWS2 was the most sensitive for ruling out patients at high risk. Performance of the Shock Index fell between qSOFA and NEWS2 and could be considered because it is easy to implement.

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