tetano
Editor, Senior Moderator
Ann Med
. 2023;55(2):2239829.
doi: 10.1080/07853890.2023.2239829. Prehospital physiological parameters related illness severity scores can accurately discriminate the severe/critical state in adult patients with COVID-19
Chen Li[SUP] 1 [/SUP], Kaili Wang[SUP] 1 [/SUP], Liang Wu[SUP] 1 [/SUP], Bing Song[SUP] 2 [/SUP], Junyuan Tan[SUP] 3 [/SUP], Haibin Su[SUP] 1 [/SUP]
Affiliations
Background: Whether the National Early Warning Score 2 (NEWS2) can effectively discriminate the severe/critical state of patients with coronavirus disease 2019 (COVID-19) at the prehospital stage remains unknown. We aimed to assess the performance of NEWS2 in rapidly discriminating severe/critical COVID-19 and its relationship with prehospital medical services.
Methods: Six illness severity scores of 414 patients were calculated at the prehospital stage. Receiver operating characteristic curves were generated to explore the ability of these scores to discriminate severe/critical patients from mild/moderate patients. A logistic regression analysis was conducted to evaluate independent predictors associated with severe/critical state.
Results: The age, numbers of comorbidities, prehospital care workload, consumption of medical human resources, and illness severity scores of severe/critical patients were higher than those of mild/moderate patients (p < 0.05). When NEWS2 scores >2, the sensitivity, specificity, positive predictive value, and negative predictive value were 93.5%, 90.7%, 74.1%, and 98.0%, respectively. The C-statistic of NEWS2 (0.963) was higher than that of quick Sequential Organ Failure Assessment (0.680, p < 0.001), CRB-65 (0.879, p < 0.001), Rapid Acute Physiology Score (0.692, p < 0.001), and Rapid Emergency Medicine Score (0.879, p < 0.001). NEWS2 was positively correlated with the numbers of prehospital treatment measures (r = 0.732, p < 0.001), numbers of medical staff (r = 0.615, p < 0.001), and total transport time (r = 0.595, p < 0.001). Age ≥65 years (OR = 5.43, p = 0.016), hypertension (OR = 5.39, p < 0.001), active malignancy (OR = 5.94, p = 0.005), and NEWS2 scores >2 (OR = 124.88, p < 0.001) were independent predictors to discriminate severe/critical patients. Oxygen saturation (SpO[SUB]2[/SUB]) (OR =1.87, p < 0.001) was the unique independent predictor to discriminate false positive patients from true positive patients.
Conclusions: Prehospital NEWS2 can accurately and rapidly discriminate severe/critical COVID-19 during the Omicron variant wave. High levels of NEWS2 indicate an increase in prehospital care workload and consumption of medical human resources.
Keywords: National early warning score 2; coronavirus disease 2019; physiological parameters; prehospital; severity.
. 2023;55(2):2239829.
doi: 10.1080/07853890.2023.2239829. Prehospital physiological parameters related illness severity scores can accurately discriminate the severe/critical state in adult patients with COVID-19
Chen Li[SUP] 1 [/SUP], Kaili Wang[SUP] 1 [/SUP], Liang Wu[SUP] 1 [/SUP], Bing Song[SUP] 2 [/SUP], Junyuan Tan[SUP] 3 [/SUP], Haibin Su[SUP] 1 [/SUP]
Affiliations
- PMID: 37489620
- DOI: 10.1080/07853890.2023.2239829
Background: Whether the National Early Warning Score 2 (NEWS2) can effectively discriminate the severe/critical state of patients with coronavirus disease 2019 (COVID-19) at the prehospital stage remains unknown. We aimed to assess the performance of NEWS2 in rapidly discriminating severe/critical COVID-19 and its relationship with prehospital medical services.
Methods: Six illness severity scores of 414 patients were calculated at the prehospital stage. Receiver operating characteristic curves were generated to explore the ability of these scores to discriminate severe/critical patients from mild/moderate patients. A logistic regression analysis was conducted to evaluate independent predictors associated with severe/critical state.
Results: The age, numbers of comorbidities, prehospital care workload, consumption of medical human resources, and illness severity scores of severe/critical patients were higher than those of mild/moderate patients (p < 0.05). When NEWS2 scores >2, the sensitivity, specificity, positive predictive value, and negative predictive value were 93.5%, 90.7%, 74.1%, and 98.0%, respectively. The C-statistic of NEWS2 (0.963) was higher than that of quick Sequential Organ Failure Assessment (0.680, p < 0.001), CRB-65 (0.879, p < 0.001), Rapid Acute Physiology Score (0.692, p < 0.001), and Rapid Emergency Medicine Score (0.879, p < 0.001). NEWS2 was positively correlated with the numbers of prehospital treatment measures (r = 0.732, p < 0.001), numbers of medical staff (r = 0.615, p < 0.001), and total transport time (r = 0.595, p < 0.001). Age ≥65 years (OR = 5.43, p = 0.016), hypertension (OR = 5.39, p < 0.001), active malignancy (OR = 5.94, p = 0.005), and NEWS2 scores >2 (OR = 124.88, p < 0.001) were independent predictors to discriminate severe/critical patients. Oxygen saturation (SpO[SUB]2[/SUB]) (OR =1.87, p < 0.001) was the unique independent predictor to discriminate false positive patients from true positive patients.
Conclusions: Prehospital NEWS2 can accurately and rapidly discriminate severe/critical COVID-19 during the Omicron variant wave. High levels of NEWS2 indicate an increase in prehospital care workload and consumption of medical human resources.
Keywords: National early warning score 2; coronavirus disease 2019; physiological parameters; prehospital; severity.