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Serum creatinine to absolute lymphocyte count ratio effectively risk stratifies patients who require intensive care in hospitalized patients with coronavirus disease 2019.
Ngiam, Jinghao Nicholas; Liong, Tze Sian; Chew, Nicholas W S; Li, Tony Yi-Wei; Chang, Zi Yun; Lim, Zhen Yu; Chua, Horny Ruey; Tham, Sai Meng; Tambyah, Paul Anantharajah; Santosa, Amelia; Cross, Gail Brenda; Sia, Ching-Hui.
  • Ngiam JN; Division of Infectious Diseases, National University Health System, Singapore.
  • Liong TS; Department of Medicine, National University Health System, Singapore.
  • Chew NWS; Department of Cardiology, National University Heart Centre Singapore, Singapore.
  • Li TY; Department of Cardiology, National University Heart Centre Singapore, Singapore.
  • Chang ZY; Division of Nephrology, National University Health System, Singapore.
  • Lim ZY; Division of Nephrology, National University Health System, Singapore.
  • Chua HR; Division of Nephrology, National University Health System, Singapore.
  • Tham SM; Division of Infectious Diseases, National University Health System, Singapore.
  • Tambyah PA; Division of Infectious Diseases, National University Health System, Singapore.
  • Santosa A; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Cross GB; Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Sia CH; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Medicine (Baltimore) ; 101(38): e30755, 2022 Sep 23.
Article in English | MEDLINE | ID: covidwho-2042659
ABSTRACT
Patients with preexisting kidney disease or acute kidney injury had poorer outcomes in coronavirus disease 2019 (COVID-19) illness. Lymphopenia was associated with more severe illness. Risk stratification with simple laboratory tests may help appropriate site patients in a cost-effective manner and ease the burden on healthcare systems. We examined a ratio of serum creatinine level to absolute lymphocyte count at presentation (creatinine-lymphocyte ratio, CLR) in predicting outcomes in hospitalized patients with COVID-19. We analyzed 553 consecutive polymerase chain reaction-positive SARS-COV-2 hospitalized patients. Patients with end-stage kidney disease were excluded. Serum creatinine and full blood count (FBC) examination were obtained within the first day of admission. We examined the utility of CLR in predicting adverse clinical outcomes (requiring intensive care, mechanical ventilation, acute kidney injury requiring renal replacement therapy or death). An optimized cutoff of CLR > 77 was derived for predicting adverse outcomes (72.2% sensitivity, and 83.9% specificity). Ninety-seven patients (17.5%) fell within this cut off. These patients were older and more likely to have chronic medical conditions. A higher proportion of these patients had adverse outcomes (13.4% vs 1.1%, P < .001). On receiver operating curve analyses, CLR predicted patients who had adverse outcomes well (area under curve [AUC] = 0.82, 95%CI 0.72-0.92), which was comparable to other laboratory tests like serum ferritin, C-reactive protein and lactate dehydrogenase. Elevated CLR on admission, which may be determined by relatively simple laboratory tests, was able to reasonably discriminate patients who had experienced adverse outcomes during their hospital stay. This may be a simple and cost-effective means of risk stratification and triage.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Medicine (Baltimore) Year: 2022 Document Type: Article Affiliation country: Md.0000000000030755

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Acute Kidney Injury / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Medicine (Baltimore) Year: 2022 Document Type: Article Affiliation country: Md.0000000000030755