scholarly journals Predicting mortality in patients with sepsis in the emergency department by using combinations of biomarkers and clinical scoring systems: a systematic review.

2020 ◽  
Author(s):  
Kirby Tong-Minh ◽  
Iris Welten ◽  
Henrik Endeman ◽  
Tjebbe Hagenaars ◽  
Christian Ramakers ◽  
...  

Abstract Introduction Sepsis can be detected in an early stage in the emergency department (ED) by biomarkers and clinical scoring systems. A combination of multiple biomarkers or biomarker with clinical scoring system might result in a higher predictive value on mortality. The goal of this systematic review is to evaluate the available literature on combinations of biomarkers and clinical scoring systems on 1-month mortality in patients with sepsis in the ED.Methods We performed a systematic search using MEDLINE, PubMed, EMBASE and Google Scholar. Articles were included if they evaluated at least one biomarker combined with another biomarker or clinical scoring system and reported the diagnostic accuracy on 28 or 30 day mortality by area under the curve (AUC) in patients with sepsis. Results We found 18 articles in this systematic review. In these 18 articles, a total of 35 combinations of biomarkers and clinical scoring systems were studied of which 33 unique combinations. In total, seven different clinical scoring systems and 21 different biomarkers were investigated. The combination of procalcitonin (PCT), lactate, interleukin-6 (IL-6) and Simplified Acute Physiology Score-2 (SAPS-2) resulted in the highest AUC on 1-month mortality. Conclusion In this systematic review, the combination of PCT, IL-6, lactate and the SAPS-2 score had the highest AUC on 1-month mortality in patients with sepsis in the ED. The studies we found in this review were too heterogeneous to conclude that a certain combination it should be used in the ED to predict 1-month mortality in patients with sepsis.

2021 ◽  
Author(s):  
Kirby Tong-Minh ◽  
Iris Welten ◽  
Henrik Endeman ◽  
Tjebbe Hagenaars ◽  
Christian Ramakers ◽  
...  

Abstract IntroductionSepsis can be detected in an early stage in the emergency department (ED) by biomarkers and clinical scoring systems. A combination of multiple biomarkers or biomarker with clinical scoring system might result in a higher predictive value on mortality. The goal of this systematic review is to evaluate the available literature on combinations of biomarkers and clinical scoring systems on 1-month mortality in patients with sepsis in the ED.MethodsWe performed a systematic search using MEDLINE, EMBASE and Google Scholar. Articles were included if they evaluated at least one biomarker combined with another biomarker or clinical scoring system and reported the prognostic accuracy on 28 or 30 day mortality by area under the curve (AUC) in patients with sepsis. ResultsWe included 18 articles in which a total of 35 combinations of biomarkers and clinical scoring systems were studied, of which 33 unique combinations. In total, seven different clinical scoring systems and 21 different biomarkers were investigated. The combination of procalcitonin (PCT), lactate, interleukin-6 (IL-6) and Simplified Acute Physiology Score-2 (SAPS-2) resulted in the highest AUC on 1-month mortality. ConclusionThe combination of PCT, IL-6, lactate and the SAPS-2 score had the highest AUC on 1-month mortality in patients with sepsis in the ED. The studies we found in this review were too heterogeneous to conclude that a certain combination it should be used in the ED to predict 1-month mortality in patients with sepsis.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kirby Tong-Minh ◽  
Iris Welten ◽  
Henrik Endeman ◽  
Tjebbe Hagenaars ◽  
Christian Ramakers ◽  
...  

Abstract Background Sepsis can be detected in an early stage in the emergency department (ED) by biomarkers and clinical scoring systems. A combination of multiple biomarkers or biomarker with clinical scoring system might result in a higher predictive value on mortality. The goal of this systematic review is to evaluate the available literature on combinations of biomarkers and clinical scoring systems on 1-month mortality in patients with sepsis in the ED. Methods We performed a systematic search using MEDLINE, EMBASE and Google Scholar. Articles were included if they evaluated at least one biomarker combined with another biomarker or clinical scoring system and reported the prognostic accuracy on 28 or 30 day mortality by area under the curve (AUC) in patients with sepsis. We did not define biomarker cut-off values in advance. Results We included 18 articles in which a total of 35 combinations of biomarkers and clinical scoring systems were studied, of which 33 unique combinations. In total, seven different clinical scoring systems and 21 different biomarkers were investigated. The combination of procalcitonin (PCT), lactate, interleukin-6 (IL-6) and Simplified Acute Physiology Score-2 (SAPS-2) resulted in the highest AUC on 1-month mortality. Conclusion The studies we found in this systematic review were too heterogeneous to conclude that a certain combination it should be used in the ED to predict 1-month mortality in patients with sepsis. Future studies should focus on clinical scoring systems which require a limited amount of clinical parameters, such as the qSOFA score in combination with a biomarker that is already routinely available in the ED.


BMC Neurology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fei Han ◽  
Chao Zuo ◽  
Guodong Zheng

Abstract Background The present study aims to evaluate the performance and the clinical applicability of the Recognition of Stroke in the Emergency Department (ROSIER) scale via systematic review and meta-analysis. Methods Electronic databases of Pubmed and Embase were searched between 1st January 2005 (when ROSIER developed) and 8th May 2020. Studies that evaluated the diagnostic accuracy of the ROSIER scale were included. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) were combined using a bivariate mixed-effects model. Fagan nomogram was used to evaluate the clinical applicability of the ROSIER scale. Results A total of 14 studies incorporating 15 datasets were included in this meta-analysis. The combined sensitivity, specificity, DOR and AUC were 0.88 [95% confidence interval (CI): 0.83–0.91], 0.66 (95% CI: 0.52–0.77), 13.86 (95% CI, 7.67–25.07) and 0.88 (95% CI, 0.85–0.90), respectively. Given the pre-test probability of 60.0%, Fagan nomogram suggested the post-test probability was increased to 79% when the ROSIER was positive. In comparison, it was decreased to 22% when ROSIER was negative. Subgroup analysis showed that the pooled sensitivity of ROSIER in the European population was higher than that in Asia. In contrast, the pooled specificity was not significantly different between them. Moreover, results also suggested the male-to-female ratio ≤ 1.0 subgroup, prehospital setting subgroup, and other trained medical personnel subgroup had significantly higher sensitivity compared with their counterparts. At the same time, no significant differences were found in the pooled specificity between them. Conclusions ROSIER is a valid scale with high clinical applicability, which has not only good diagnostic accuracy in Europe but also shows excellent performance in Asia. Moreover, the ROSIER scale exhibits good applicability in prehospital settings with other trained medical personnel.


2021 ◽  
pp. 25-28
Author(s):  
M. Vijaya Kumar ◽  
Manasa Manasa

Acute appendicitis is the most common condition encountered in the Emergency department .Alvarado and Modied Alvarado scores are the most commonly used scoring system used for diagnosing acute appendicitis.,but its performance has been found to be poor in certain population . Hence our aim was to compare the diagnostic accuracy of RIPASA and ALVARADO Scoring system and study and compare sensitivity, specicity and predictive values of these scoring systems. The study was conducted in Government district hospital Nandyal . We enrolled 176 patients who presented with RIF pain . Both RIPASA and ALVARADO were applied to them. Final diagnosis was conrmed either by CT scan, intra operative nding or post operative HPE report. Sensitivity,specicity, positive predictive value, negative predictive value, diagnostic accuracy was calculated both for RIPASA and ALVARADO. It was found that sensitivity and specicity of the RIPASA score in our study are 98.7% and 83.3%, respectively. PPV and NPV were 98.1% and 88.2% and sensitivity and specicity of the Alvardo score in our study are 94.3% and 83.3%, respectively. PPV and NPV were 98% and 62.5%.Diagnostic accuracy of RIPASA score and Alvarado score are 97% and 93% respectively. RIPASA is a more specic and accurate scoring system in our local population when compared to ALVARADO . It reduces the number of missed appendicitis cases and also convincingly lters out the group of patients that would need a CT scan for diagnosis (score 5-7.5 ) BACKGROUND: Acute appendicitis is one of the most commonly dealt surgical emergencies, with a lifetime prevalence rate of approximately 1 one in seven. The incidence is 1.5–1.9 per 1,000 in the male and female population, and is approximately 1.4 times greater in men than in women. Despite being a common problem, it remains a difcult diagnosis to establish, particularly among the young, the elderly and females of reproductive age, where a host of other genitourinary and gynaecological inammatory conditions can present with signs and symptoms that are 2 similar to those of acute appendicitis. A delay in performing an appendectomy in order to improve its diagnostic accuracy increases the risk of appendicular perforation and peritonitis, which in turn increases morbidity and mortality. A variable combination of clinical signs and symptoms has been used together with laboratory ndings in several scoring systems proposed for suggesting the probability of Acute Appendicitis and the possible subsequent management pathway. The Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) and ALVARADO score are new diagnostic scoring systems developed for the diagnosis of Acute Appendicitis and has been shown to have signicantly higher sensitivity, specicity and diagnostic accuracy. AIMS AND OBJECTIVES PRIMARY OBJECT 1. To compare RIPASA Scoring system and ALVARADO Scoring system in terms of diagnostic accuracy in Acute Appendicitis. 2. To study and compare sensitivity, specicity and predictive values of above scoring systems. SECONDARY OBJECT 1. To study the rate of negative appendicectomy based on above scoring systems. CONCLUSION: The RIPASA score is a simple scoring system with high sensitivity and specicity for the diagnosis of acute appendicitis. The 14 clinical parameters are all present in a good clinical history and examination and can be easily and quickly applied. Therefore, a decision on the management can be made early. Although the RIPASA score was developed for the local population of Brunei, we believe that it should be applicable to other regions. The RIPASA score presents greater Diagnostic accuracy and Sensitivity and equal specicity as a diagnostic test compared to the Alvarado score and is helpful in making appropriate therapeutic decisions. In hospitals like ours, the diagnosis of AA relies greatly on the clinical evaluation performed by surgeons. An adequate clinical scoring system would avoid diagnostic errors, maintaining a satisfactory low rate of negative appendectomies by adequate patient stratication, while limiting patient exposure to ionizing radiation, since 21 there is an increased risk of developing cancer with computed tomography, particularly for the paediatric age group.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Sophia Marie-Therese Schmitz ◽  
Andreas Kroh ◽  
Tom Florian Ulmer ◽  
Julia Andruszkow ◽  
Tom Luedde ◽  
...  

Abstract Background Non-alcoholic fatty liver disease (NAFLD) is a frequent condition in obese patients and regularly progresses to non-alcoholic steatohepatitis (NASH) and subsequent cirrhosis. Histologic evaluation is the gold standard for grading and staging, but invasive biopsies are associated with obvious risks. The aim of this study was to evaluate different non-invasive tools for screening of NAFLD and fibrosis in obese patients. Methods In a prospective cohort study liver specimens of 141 patients were taken during bariatric surgery. Serological parameters and clinical data were collected and the following scores calculated: NASH clinical scoring system (NCS), aspartate aminotransferase to platelet ratio index (APRI), FIB-4 as well as NAFLD fibrosis score (NFS). Liver function capacity was measured preoperatively by LiMAx test (enzymatic capacity of cytochrome P450 1A2). Intraoperative liver biopsies were classified using NAFLD activity score (NAS) and steatosis, activity and fibrosis (SAF) score. Results APRI was able to differentiate between not NASH and definite NASH with a sensitivity of 74% and specificity of 67% (AUROC 0.76). LiMAx and NCS also showed significant differences between not NASH and definite NASH. No significant differences were found for NFS and Fib-4. APRI had a high sensitivity (83%) and specificity (76%) in distinguishing fibrosis from no fibrosis (AUROC = 0.81). NCS and Fib-4 also revealed high AUROCs (0.85 and 0.67), whereas LiMAx and NFS did not show statistically significant differences between fibrosis stages. Out of the patients with borderline NASH in the histologic NAS score, 48% were classified as NASH by SAF score. Conclusions APRI allows screening of NAFLD as well as fibrosis in obese patients. This score is easy to calculate and affordable, while conveniently only using routine clinical parameters. Using the NAS histologic scoring system bears the risk of underdiagnosing NASH in comparison to SAF score.


2020 ◽  
Vol 22 (1-2) ◽  
pp. 18-21
Author(s):  
Sameer Thapa ◽  
AR Upreti ◽  
R Bajracharya ◽  
BK Lingden

There are many clinical scoring systems that measure the severity in sepsis and septic shock. Therefore, our study aims to calculate prognostic accuracy of commonly used scoring system SOFA and qSOFA in emergency department as a predictor of mortality among sepsis patients.This was prospective observational study conducted in an emergency department for a period of seven months. 156 patients were studied and descriptive statistical analysis was done. The most common source of infection was respiratory. A positive and moderate correlation was seen between initial SOFA score and qSOFA score. The AUC of SOFA score and qSOFA for predicting the mortality were 0.978 and 0.886 with sensitivity of 96.9% and specificty of 57% for SOFA and sensitivity of 96.9% and specificity of 76.1% for qSOFA.SOFA and qSOFA both proved to be similar as a simple prognostic tool with discriminatory capacity in predicting prognosis in septic patient presenting to emergency department.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tarek Sulaiman ◽  
Sai Medi ◽  
Hakan Erdem ◽  
Seniha Senbayrak ◽  
Derya Ozturk-Engin ◽  
...  

Abstract Background Tuberculous meningitis (TBM) represents a diagnostic and management challenge to clinicians. The “Thwaites’ system” and “Lancet consensus scoring system” are utilized to differentiate TBM from bacterial meningitis but their utility in subacute and chronic meningitis where TBM is an important consideration is unknown. Methods A multicenter retrospective study of adults with subacute and chronic meningitis, defined by symptoms greater than 5 days and less than 30 days for subacute meningitis (SAM) and greater than 30 days for chronic meningitis (CM). The “Thwaites’ system” and “Lancet consensus scoring system” scores and the diagnostic accuracy by sensitivity, specificity, and area under the curve of receiver operating curve (AUC-ROC) were calculated. The “Thwaites’ system” and “Lancet consensus scoring system” suggest a high probability of TBM with scores ≤4, and with scores of ≥12, respectively. Results A total of 395 patients were identified; 313 (79.2%) had subacute and 82 (20.8%) with chronic meningitis. Patients with chronic meningitis were more likely caused by tuberculosis and had higher rates of HIV infection (P < 0.001). A total of 162 patients with TBM and 233 patients with non-TBM had unknown (140, 60.1%), fungal (41, 17.6%), viral (29, 12.4%), miscellaneous (16, 6.7%), and bacterial (7, 3.0%) etiologies. TMB patients were older and presented with lower Glasgow coma scores, lower CSF glucose and higher CSF protein (P < 0.001). Both criteria were able to distinguish TBM from bacterial meningitis; only the Lancet score was able to differentiate TBM from fungal, viral, and unknown etiologies even though significant overlap occurred between the etiologies (P < .001). Both criteria showed poor diagnostic accuracy to distinguish TBM from non-TBM etiologies (AUC-ROC was <. 5), but Lancet consensus scoring system was fair in diagnosing TBM (AUC-ROC was .738), sensitivity of 50%, and specificity of 89.3%. Conclusion Both criteria can be helpful in distinguishing TBM from bacterial meningitis, but only the Lancet consensus scoring system can help differentiate TBM from meningitis caused by fungal, viral and unknown etiologies even though significant overlap occurs and the overall diagnostic accuracy of both criteria were either poor or fair.


2017 ◽  
Vol 7 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Patricia Van Den Berg ◽  
Richard Body

Aims: The objective of this systematic review was to summarise the current evidence on the diagnostic accuracy of the HEART score for predicting major adverse cardiac events in patients presenting with undifferentiated chest pain to the emergency department. Methods and results: Two investigators independently searched Medline, Embase and Cochrane databases between 2008 and May 2016 identifying eligible studies providing diagnostic accuracy data on the HEART score for predicting major adverse cardiac events as the primary outcome. For the 12 studies meeting inclusion criteria, study characteristics and diagnostic accuracy measures were systematically extracted and study quality assessed using the QUADAS-2 tool. After quality assessment, nine studies including data from 11,217 patients were combined in the meta-analysis applying a generalised linear mixed model approach with random effects assumption (Stata 13.1). In total, 15.4% of patients (range 7.3–29.1%) developed major adverse cardiac events after a mean of 6 weeks’ follow-up. Among patients categorised as ‘low risk’ and suitable for early discharge (HEART score 0–3), the pooled incidence of ‘missed’ major adverse cardiac events was 1.6%. The pooled sensitivity and specificity of the HEART score for predicting major adverse cardiac events were 96.7% (95% confidence interval (CI) 94.0–98.2%) and 47.0% (95% CI 41.0–53.5%), respectively. Conclusions: Patients with a HEART score of 0–3 are at low risk of incident major adverse cardiac events. As 3.3% of patients with major adverse cardiac events are ‘missed’ by the HEART score, clinicians must ask whether this risk is acceptably low for clinical implementation.


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