Clinical characteristics of hematological patients concomitant with COVID-19.
Xiaoxi ZhouGaoxiang WangLiting ChenFankai MengLiang HuangLifang HuangNa WangTongjuan LiYang CaoJian-Feng ZhouPublished in: Cancer science (2020)
The rapid spread of coronavirus disease 2019 (COVID-19) represented the most serious issue to public health globally. Hematological patients as immunocompromised hosts are vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. There is little information available regarding the clinical features of hematological patients concomitant with COVID-19. In this study, 9 concomitant patients were analyzed for their clinical manifestations, laboratory data, radiological findings, and immunologic features. The median age was 50 years (range, 17-68 years) and 6 patients were male. Seven patients were infected through hospital-associated transmission and other 2 through community-associated transmission. Onset of COVID-19 in all patients occurred during routine treatments for their hematological diseases. Eight patients were classified as moderate and 1 patient as critically ill COVID-19. Four patients died, 1 from leukemia progression, 2 from life-threatening secondary infection, and the other from respiratory failure caused by COVID-19. Abruptly elevated levels of cytokines were often correlated with progressive hematological disease or concurrent bacterial infections. Two patients had atypical computed tomography (CT) imaging findings of COVID-19. The median interval from the first CT scan imaging to improvement in survivors was 40 days (range, 14-51 days). Four of 5 survivors had negative serological tests 1 month after symptom onset. Positive viral load in 4 survivors lasted longer than 45 days. Our results indicated concomitant patients formed a distinct subgroup characterized by atypical clinical features, defective viral clearance, and lower level of SARS-CoV-2-specific Abs. Targeted therapies that impair host humoral immunity should be avoided. These findings will be helpful to tailor appropriate management for the concomitant patients.
Keyphrases
- end stage renal disease
- sars cov
- coronavirus disease
- ejection fraction
- computed tomography
- public health
- newly diagnosed
- chronic kidney disease
- healthcare
- respiratory syndrome coronavirus
- young adults
- peritoneal dialysis
- intensive care unit
- emergency department
- clinical trial
- immune response
- high resolution
- social media
- machine learning
- patient reported outcomes
- squamous cell carcinoma
- magnetic resonance
- high intensity
- acute respiratory distress syndrome
- respiratory failure
- rectal cancer
- deep learning
- image quality