Death risk stratification in elderly patients with covid-19. A comparative cohort study in nursing homes outbreaks
- PMID: 32877792
- PMCID: PMC7446617
- DOI: 10.1016/j.archger.2020.104240
Death risk stratification in elderly patients with covid-19. A comparative cohort study in nursing homes outbreaks
Abstract
Elderly people are more severely affected by COVID-19. Nevertheless scarce information about specific prognostic scores for this population is available. The main objective was to compare the accuracy of recently developed COVID-19 prognostic scores to that of CURB-65, Charlson and PROFUND indices in a cohort of 272 elderly patients from four nursing homes, affected by COVID-19. Accuracy was measured by calibration (calibration curves and Hosmer-Lemeshov (H-L) test), and discriminative power (area under the receiver operation curve (AUC-ROC). Negative and positive predictive values (NPV and PPV) were also obtained. Overall mortality rate was 22.4 %. Only ACP and Shi et al. out of 10 specific COVID-19 indices could be assessed. All indices but CURB-65 showed a good calibration by H-L test, whilst PROFUND, ACP and CURB-65 showed best results in calibration curves. Only CURB-65 (AUC-ROC = 0.81 [0.75-0.87])) and PROFUND (AUC-ROC = 0.67 [0.6-0.75])) showed good discrimination power. The highest NPV was obtained by CURB-65 (95 % [90-98%]), PROFUND (93 % [77-98%]), and their combination (100 % [82-100%]); whereas CURB-65 (74 % [51-88%]), and its combination with PROFUND (80 % [50-94%]) showed highest PPV. PROFUND and CURB-65 indices showed the highest accuracy in predicting death-risk of elderly patients affected by COVID-19, whereas Charlson and recent developed COVID-19 specific tools lacked it, or were not available to assess. A comprehensive clinical stratification on two-level basis (basal death risk due to chronic conditions by PROFUND index, plus current death risk due to COVID-19 by CURB-65), could be an appropriate approach.
Keywords: COVID-19; CURB-65; Death-risk; Multimorbidity; PROFUND.
Copyright © 2020 Elsevier B.V. All rights reserved.
Conflict of interest statement
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References
-
- Bai X., Fang C., Zhou Y., et al. Predicting COVID-19 malignant progression with AI techniques. medRxiv. 2020 doi: 10.1101/2020.03.20.20037325. [Preprint] - DOI
-
- Bernabeu-Wittel M., Ollero-Baturone M., Moreno-Gaviño L., et al. Development of a new predictive model for polypathological patients. The PROFUND index. European Journal of Internal Medicine. 2011;22:311–317. - PubMed
-
- Bernabeu-Wittel M., Murcia-Zaragoza J., Hernández-Quiles C., Escolano-Fernández B., Jarava-Rol G., Oliver M., et al. On behalf of the PALIAR RESEARCHERS. Development of a six-month prognostic index in patients with advanced chronic medical conditions: the PALIAR score. Journal of Pain and Symptom Management. 2014;47:551–565. - PubMed
-
- Bernabeu-Wittel M., Moreno-Gaviño L., Ollero-Baturone M., Barón-Franco B., Díez-Manglano J., Rivas-Cobas C., et al. Validation of PROFUND prognostic index over a four-year follow-up period. European Journal of Internal Medicine. 2016;36:20–24. - PubMed