Prediction accuracy of commonly used pneumonia severity scores in Aboriginal patients with severe community‐acquired pneumonia – a retrospective study

2021 ◽  
Author(s):  
Danny Tsai ◽  
Paul Secombe ◽  
Fabian Chiong ◽  
Shahid Ullah ◽  
Jeffrey Lipman ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Prediction Accuracy ◽  
Community Acquired Pneumonia ◽  
Pneumonia Severity ◽  
Severity Scores ◽  
Severe Community Acquired Pneumonia

scholarly journals Expanded CURB-65: a new score system predicts severity of community-acquired pneumonia with superior efficiency

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jin-liang Liu ◽  
Feng Xu ◽  
Hui Zhou ◽  
Xue-jie Wu ◽  
Ling-xian Shi ◽  
...  
Keyword(s):  
Severity Score ◽  
Community Acquired Pneumonia ◽  
Score System ◽  
Pneumonia Severity ◽  
Increased Risk ◽  
Severity Scores ◽  
Low Blood Pressure ◽  
Health Care Associated Pneumonia ◽  
Score Systems ◽  
Better Than

Abstract Aim of this study was to develop a new simpler and more effective severity score for community-acquired pneumonia (CAP) patients. A total of 1640 consecutive hospitalized CAP patients in Second Affiliated Hospital of Zhejiang University were included. The effectiveness of different pneumonia severity scores to predict mortality was compared, and the performance of the new score was validated on an external cohort of 1164 patients with pneumonia admitted to a teaching hospital in Italy. Using age ≥ 65 years, LDH > 230 u/L, albumin < 3.5 g/dL, platelet count < 100 × 109/L, confusion, urea > 7 mmol/L, respiratory rate ≥ 30/min, low blood pressure, we assembled a new severity score named as expanded-CURB-65. The 30-day mortality and length of stay were increased along with increased risk score. The AUCs in the prediction of 30-day mortality in the main cohort were 0.826 (95% CI, 0.807–0.844), 0.801 (95% CI, 0.781–0.820), 0.756 (95% CI, 0.735–0.777), 0.793 (95% CI, 0.773–0.813) and 0.759 (95% CI, 0.737–0.779) for the expanded-CURB-65, PSI, CURB-65, SMART-COP and A-DROP, respectively. The performance of this bedside score was confirmed in CAP patients of the validation cohort although calibration was not successful in patients with health care-associated pneumonia (HCAP). The expanded CURB-65 is objective, simpler and more accurate scoring system for evaluation of CAP severity, and the predictive efficiency was better than other score systems.

Five-year mortality in patients treated for severe community-acquired pneumonia - a retrospective study

2017 ◽  
Vol 61 (4) ◽  
pp. 418-426 ◽  
Author(s):  
H. Lenz ◽  
G. O. Norby ◽  
V. Dahl ◽  
T. E. Ranheim ◽  
R. E. Haagensen
Keyword(s):  
Retrospective Study ◽  
Community Acquired Pneumonia ◽  
Severe Community Acquired Pneumonia

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 Prognostic assessment in community-acquired pneumonia by pneumonia severity scores and biomarkers

Critical Care ◽  
2010 ◽  
Vol 14 (Suppl 1) ◽  
pp. P75
Author(s):  
F Dusemund ◽  
W Albrich ◽  
P Schuetz ◽  
B Müller
Keyword(s):  
Community Acquired Pneumonia ◽  
Pneumonia Severity ◽  
Prognostic Assessment ◽  
Severity Scores

scholarly journals Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia

2021 ◽  
Vol 8 (1) ◽  
pp. e001045
Author(s):  
Jessica Quah ◽  
Charlene Jin Yee Liew ◽  
Lin Zou ◽  
Xuan Han Koh ◽  
Rayan Alsuwaigh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Chest Radiograph ◽  
Risk Score ◽  
Mortality Risk ◽  
Characteristic Curve ◽  
Pneumonia Severity Index ◽  
Model Performance ◽  
Community Acquired Pneumonia ◽  
Pneumonia Severity ◽  
Severity Scores

BackgroundChest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for 30-day mortality.MethodsDeep-learning model using convolutional neural network (CNN) was trained with a retrospective cohort of 2235 CXRs from 1966 unique adult patients admitted for CAP from 1 January 2019 to 31 December 2019. A single-centre prospective cohort between 11 May 2020 and 15 June 2020 was analysed for model performance. CAPE mortality risk score based on CNN analysis of the first CXR performed for CAP was used to determine the area under the receiver operating characteristic curve (AUC) for 30-day mortality.Results315 inpatient episodes for CAP occurred, with 30-day mortality of 19.4% (n=61/315). Non-survivors were older than survivors (mean (SD)age, 80.4 (10.3) vs 69.2 (18.7)); more likely to have dementia (n=27/61 vs n=58/254) and malignancies (n=16/61 vs n=18/254); demonstrate higher serum C reactive protein (mean (SD), 109 mg/L (98.6) vs 59.3 mg/L (69.7)) and serum procalcitonin (mean (SD), 11.3 (27.8) μg/L vs 1.4 (5.9) μg/L). The AUC for CAPE mortality risk score for 30-day mortality was 0.79 (95% CI 0.73 to 0.85, p<0.001); Pneumonia Severity Index (PSI) 0.80 (95% CI 0.74 to 0.86, p<0.001); Confusion of new onset, blood Urea nitrogen, Respiratory rate, Blood pressure, 65 (CURB-65) score 0.76 (95% CI 0.70 to 0.81, p<0.001), respectively. CAPE combined with CURB-65 model has an AUC of 0.83 (95% CI 0.77 to 0.88, p<0.001). The best performing model was CAPE incorporated with PSI, with an AUC of 0.84 (95% CI 0.79 to 0.89, p<0.001).ConclusionCXR-based CAPE mortality risk score was comparable to traditional pneumonia severity scores and improved its discrimination when combined.

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