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. 2021 Mar 18;16(3):e0248675.
doi: 10.1371/journal.pone.0248675. eCollection 2021.

The effect of age on the clinical and immune characteristics of critically ill patients with COVID-19: A preliminary report

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The effect of age on the clinical and immune characteristics of critically ill patients with COVID-19: A preliminary report

Chunling Hu et al. PLoS One. .

Abstract

Background: In December 2019, a new disease named coronavirus disease 2019 (COVID-19) was occurred. Patients who are critically ill with COVID-19 are more likely to die, especially elderly patients. We aimed to describe the effect of age on the clinical and immune characteristics of critically ill patients with COVID-19.

Methods: We retrospectively included 32 patients with COVID-19 who were confirmed to have COVID-19 by the local health authority and who were admitted to the first affiliated hospital of Zhengzhou University in Zhengzhou, China between January 3 and March 20, 2020. Clinical information and experimental test data were retrospectively collected for the patients. The 32 patients in this study were all in a critical condition and were classified as severe, according to the guidelines of 2019-nCoV infection from the National Health Commission of the People's Republic of China. Data were compared between those <60 years old and ≥60 years old.

Results: Of 32 patients, 13 were under 60 years old, and 19 patients were ≥60 years old. The most common symptom among all patients upon admission was fever (93.8%, 30/32). Compared to younger patients, older patients exhibited increased comorbidities. Among patients who were 60 years and older, platelet count, direct bilirubin (DBIL), indirect bilirubin(IBIL), lactate dehydrogenase (LDH), B-type natriuretic peptide (BNP), C-reactive protein (CRP), procalcitonin (PCT), and interleukin-10 (IL-10) were significantly higher than in younger patients who were less than 60 years old. CD4+ T lymphocytes, CD8+ T lymphocytes, and NKT lymphocytes were decreased, CD4+/CD8+ T lymphocytes were significantly increased in all 32 patients, while there were no evident differences between younger and older patients. The CURB-65 (confusion, urea, respiratory, rate, blood pressure plus age ≥65 years), Acute Physiology and Chronic Health Evaluation (APACHE) II and pH value were significantly higher in older patients than in patients who were under 60 years old. However, the PaO2 and PaO2:FiO2 were lower in older patients than the younger. Compared to patients under 60 years old, patients who were 60 years and older tended to develop ARDS (15 [78.9%] vs 5 [38.5%]), septic shock (7 [36.8%] vs 0 [0.0%]) and were more likely to receive mechanical ventilation (13 [68.4%] vs 3[23.1%]). Dynamic trajectories of seven laboratory parameters were tracked on days 1, 3, 5 and 7, and significant differences in lymphocyte count (P = 0.026), D-dimer (P = 0.010), lactate dehydrogenase (P = 0.000) and C-reactive protein (P = 0.000) were observed between the two age groups.

Conclusions: A high proportion of critically ill patients were 60 or older. Furthermore, rapid disease progression was noted in elderly patients. Therefore, close monitoring and timely treatment should be performed in elderly COVID-19 patients.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Comparison of dynamic trajectories of six laboratory parameters in COVID-19 patients between two age groups.
Dynamic trajectories of six laboratory parameters were tracked on Days 1, 3, 5 and 7. Significant differences in lymphocyte counts (P-value = 0.026), D-dimer (P-value = 0.010), lactate dehydrogenase (P-values = 0.000) and CRP (P-values = 0.000) are shown in panels B, C, F and G). There were no significant differences in levels of white blood cells (P-value = 0.026), the De Ritis ratio (P-value = 0.950) and procalcitonin (P-value = 0.026), which are shown in panels A, D and E. The dash lines in black show the upper normal limit of each parameter, and the dash line in red shows the lower normal limit of each parameter.

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Grants and funding

The authors had received “National Natural Science Foundation of China (Number 82074212)”, “Science and Technology Department of Henan Province (CN) (Number SB201901036)”, and “Key Scientific Research Project of Colleges in Henan Province (Number 19A320015)” funding for this work.