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Neutrophil:lymphocyte ratio predicts short-term outcome of COVID-19 in haemodialysis patients
- Source :
- Clinical Kidney Journal
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Background Information regarding coronavirus disease 2019 (COVID-19) in haemodialysis (HD) patients is limited and early studies suggest a poor outcome. We aimed to identify clinical and biological markers associated with severe forms of COVID-19 in HD patients. Methods We conducted a prospective, observational and multicentric study. Sixty-two consecutive adult HD patients with confirmed COVID-19 from four dialysis facilities in Paris, France, from 19 March to 19 May 2020 were included. Blood tests were performed before diagnosis and at Days 7 and 14 after diagnosis. Severe forms of COVID-19 were defined as requiring oxygen therapy, admission in an intensive care unit or death. Cox regression models were used to compute adjusted hazard ratios (aHRs). Kaplan–Meier curves and log-rank tests were used for survival analysis. Results Twenty-eight patients (45%) displayed severe forms of COVID-19. Compared with non-severe forms, these patients had more fever (93% versus 56%, P 3.7 was the major marker associated with severe forms, with an aHR of 4.28 (95% confidence interval 1.52–12.0; P = 0.006). After a median follow-up time of 48 days (range 27–61), six patients with severe forms died (10%). Conclusions HD patients are at increased risk of severe forms of COVID-19. An elevated N:L ratio at Day 7 was highly associated with the severe forms. Assessing the N:L ratio could inform clinicians for early treatment decisions.
- Subjects :
- medicine.medical_specialty
medicine.medical_treatment
030204 cardiovascular system & hematology
survival analysis
law.invention
03 medical and health sciences
0302 clinical medicine
law
Internal medicine
Oxygen therapy
medicine
030212 general & internal medicine
AcademicSubjects/MED00340
Dialysis
Survival analysis
Transplantation
business.industry
Proportional hazards model
Hazard ratio
biomarkers
Intensive care unit
Confidence interval
haemodialysis
Nephrology
dialysis
Original Article
prognosis
Hemodialysis
business
Subjects
Details
- ISSN :
- 20488513
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Clinical Kidney Journal
- Accession number :
- edsair.doi.dedup.....35dd763d440d8d05d8f5dbe52103c653