Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2020 Dec 7;18(1):461.
doi: 10.1186/s12967-020-02655-8.

Risk factors for severe COVID-19 in middle-aged patients without comorbidities: a multicentre retrospective study

Affiliations
Multicenter Study

Risk factors for severe COVID-19 in middle-aged patients without comorbidities: a multicentre retrospective study

Peng Wang et al. J Transl Med. .

Abstract

Background: Information regarding characteristics and risk factors of COVID-19 amongst middle-aged (40-59 years) patients without comorbidities is scarce.

Methods: We therefore conducted this multicentre retrospective study and collected data of middle-aged COVID-19 patients without comorbidities at admission from three designated hospitals in China.

Results: Among 119 middle-aged patients without comorbidities, 18 (15.1%) developed into severe illness and 5 (3.9%) died in hospital. ARDS (26, 21.8%) and elevated D-dimer (36, 31.3%) were the most common complications, while other organ complications were relatively rare. Multivariable regression showed increasing odds of severe illness associated with neutrophil to lymphocyte ratio (NLR, OR, 11.238; 95% CI 1.110-1.382; p < 0.001) and D-dimer greater than 1 µg/ml (OR, 16.079; 95% CI 3.162-81.775; p = 0.001) on admission. The AUCs for the NLR, D-dimer greater than 1 µg/ml and combined NLR and D-dimer index were 0.862 (95% CI, 0.751-0.973), 0.800 (95% CI 0.684-0.915) and 0.916 (95% CI, 0.855-0.977), respectively. SOFA yielded an AUC of 0.750 (95% CI 0.602-0.987). There was significant difference in the AUC between SOFA and combined index (z = 2.574, p = 0.010).

Conclusions: More attention should be paid to the monitoring and early treatment of respiratory and coagulation abnormalities in middle-aged COVID-19 patients without comorbidities. In addition, the combined NLR and D-dimer higher than 1 μg/ml index might be a potential and reliable predictor for the incidence of severe illness in this specific patient with COVID-19, which could guide clinicians on early classification and management of patients, thereby relieving the shortage of medical resource. However, it is warranted to validate the reliability of the predictor in larger sample COVID-19 patients.

Keywords: COVID-19; Coronavirus; Middle-aged; Risk factors; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that that have no competing interests.

Figures

Figure. 1
Figure. 1
The incidence of comorbidities in different age groups for all 441 patients with COVID-19. Comorbidities were defined as having at least one of the followings before diagnosis of COVID-19: hypertension, diabetes, coronary heart disease, stroke, hyperlipemia, bronchiectasis, asthma, chronic lung disease, chronic kidney disease, chronic liver disease, cancer, hematologic disease, autoimmune disease and HIV infection
Figure. 2
Figure. 2
ROC curve analysis using the NLR, D-dimer, combined index and SOFA for predicting severe COVID-19 in middle-aged (40–59 years) patients without comorbidities. COVID-19 coronavirus disease 2019, AUC area under the curve, CI confidence interval, NLR neutrophil to lymphocyte ratio, SOFA Sequential Organ Failure Assessment, Combined index combined NLR and D-dimer > 1 μg/ml index

References

    1. WHO (https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situatio...).
    1. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–62. doi: 10.1016/S0140-6736(20)30566-3. - DOI - PMC - PubMed
    1. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, Cereda D, Coluccello A, Foti G, Fumagalli R, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUS of the lombardy region, Italy. Jama. 2020;323(16):1574–81. doi: 10.1001/jama.2020.5394. - DOI - PMC - PubMed
    1. Du Y, Tu L, Zhu P, Mu M, Wang R, Yang P, Wang X, Hu C, Ping R, Hu P, et al. Clinical features of 85 fatal cases of COVID-19 from Wuhan: a retrospective observational study. Am J Respir Crit Care Med. 2020;201(11):1372–9. doi: 10.1164/rccm.202003-0543OC. - DOI - PMC - PubMed
    1. Petrilli CM, Jones SA, Yang J, Rajagopalan H, O'Donnell L, Chernyak Y, Tobin KA, Cerfolio RJ, Francois F, Horwitz LI. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. 2020;369:m1966. doi: 10.1136/bmj.m1966. - DOI - PMC - PubMed

Publication types

MeSH terms

Substances