The impact of objective nutritional indexes on in-hospital mortality in Covid-19 infection
Öz
Purpose: The effect of nutritional status on in-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is unclear. We aimed to analyze the relationship between nutritional status score (CONUT) and prognostic nutritional index (PNI) and in-hospital mortality in COVID-19 infection.
Materials and Methods: We included 187 patients with COVID-19 between 11 March-10 May 2020. The CONUT and PNI scores were calculated using the laboratory results. The groups were divided into survival and in-hospital mortality
Results: The mean age of the patients was 66.2±15.8 years (55.3% male). The mortality rate was 20.8% (n=39). The median PNI scores was significantly lower and the median CONUT score was significantly higher in the mortality group. Multivariate regression analysis showed that PNI and CONUT were independent predictors of mortality. ROC curve analyses showed that CONUT had a better performance than PNI to predict in-hospital mortality.
Conclusion: In COVID-19 patients, CONUT and PNI scores were independently associated with in-hospital mortality, with CONUT presenting a better performance than PNI.
Anahtar Kelimeler
Kaynakça
- 1. Lai C-C, Shih T-P, Ko W-C, Tang H-J, Hsueh P-R. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and corona virus disease-2019(COVID-19): the epidemic and the challenges. International journal of antimicrobial agents.2020:105924.
- 2. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama.2020;323:1061-9.
- 3. Cascella M, Rajnik M, Cuomo A, Dulebohn SC, Di Napoli R. Features, evaluation and treatment coronavirus(COVID-19). Statpearls [internet]:StatPearls Publishing;2020.
- 4. Guan W-j, Ni Z-y, Hu Y, Liang W-h, Ou C-q, He J-x, et al. Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine.2020;382:1708-20.
- 5. Kinross P, Suetens C, Dias JG, Alexakis L, Wijermans A, Colzani E, et al. Rapidly increasing cumulative incidence of coronavirus disease(COVID-19) in the European Union/European Economic Area and the United Kingdom, 1 January-15 March 2020. Eurosurveillance.2020;25:2000285.
- 6. Mardani R, Vasmehjani AA, Zali F, Gholami A, Nasab SDM, Kaghazian H, et al. Laboratory parameters in detection of COVID-19 patients with positive RT-PCR; a diagnostic accuracy study. Archives of Academic Emergency Medicine.2020 Apr 4;8(1):e43.eCollection 2020.
- 7. Wu T, Zuo Z, Kang S, Jiang L, Luo X, Xia Z, et al. Multi-organ Dysfunction in Patients with COVID-19: A Systematic Review and Meta-analysis.Aging and disease.2020;11:874.
- 8. Thachil J, Tang N, Gando S, Falanga A, Cattaneo M, Levi M, et al. ISTH interim guidance on recognition and management of coagulopathy in COVID-19.Journal of Thrombosis and Haemostasis.2020;18:1023-6.
- 9. Abou-Ismail MY, Diamond A, Kapoor S, Arafah Y, Nayak L. The hypercoagulable state in COVID-19:Incidence, pathophysiology, and management. Thrombosis Research.2020-Jun-20;194:101-115.
- 10. Sun G, Li Y, Peng Y, Lu D, Zhang F, Cui X, et al. Impact of the preoperative prognostic nutritional index on postoperative and survival outcomes in colorectal cancer patients who underwent primary tumor resection: a systematic review and meta-analysis.International journal of colorectal disease.2019;34:681-9.
