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10.1002/emp2.12259

http://scihub22266oqcxt.onion/10.1002/emp2.12259
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suck abstract from ncbi


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pmid33230506      J+Am+Coll+Emerg+Physicians+Open 2020 ; 1 (6): 1436-1443
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  • The low-harm score for predicting mortality in patients diagnosed with COVID-19: A multicentric validation study #MMPMID33230506
  • Soto-Mota A; Marfil-Garza BA; Martinez Rodriguez E; Barreto Rodriguez JO; Lopez Romo AE; Alberti Minutti P; Alejandre Loya JV; Perez Talavera FE; Avila Cervera FJ; Velazquez Burciaga A; Morado Aramburo O; Pina Olguin LA; Soto-Rodriguez A; Castaneda Prado A; Santillan Doherty P; O Galindo J; Guizar Garcia LA; Hernandez Gordillo D; Gutierrez Mejia J
  • J Am Coll Emerg Physicians Open 2020[Dec]; 1 (6): 1436-1443 PMID33230506show ga
  • OBJECTIVE: We sought to determine the accuracy of the LOW-HARM score (Lymphopenia, Oxygen saturation, White blood cells, Hypertension, Age, Renal injury, and Myocardial injury) for predicting death from coronavirus disease 2019) COVID-19. METHODS: We derived the score as a concatenated Fagan's nomogram for Bayes theorem using data from published cohorts of patients with COVID-19. We validated the score on 400 consecutive COVID-19 hospital admissions (200 deaths and 200 survivors) from 12 hospitals in Mexico. We determined the sensitivity, specificity, and predictive values of LOW-HARM for predicting hospital death. RESULTS: LOW-HARM scores and their distributions were significantly lower in patients who were discharged compared to those who died during their hospitalization 5 (SD: 14) versus 70 (SD: 28). The overall area under the curve for the LOW-HARM score was 0.96, (95% confidence interval: 0.94-0.98). A cutoff > 65 points had a specificity of 97.5% and a positive predictive value of 96%. CONCLUSIONS: The LOW-HARM score measured at hospital admission is highly specific and clinically useful for predicting mortality in patients with COVID-19.
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