1. Trajectories of clinical and laboratory characteristics associated with COVID‐19 in hemodialysis patients by survival
- Author
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Chaudhuri, Sheetal, Lasky, Rachel, Jiao, Yue, Larkin, John, Monaghan, Caitlin, Winter, Anke, Neri, Luca, Kotanko, Peter, Hymes, Jeffrey, Lee, Sangho, Wang, Yuedong, Kooman, Jeroen P, Maddux, Franklin, and Usvyat, Len
- Subjects
Lung ,Emerging Infectious Diseases ,Prevention ,Bioengineering ,Assistive Technology ,Clinical Research ,Kidney Disease ,Infectious Diseases ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Good Health and Well Being ,Adult ,Blood Pressure ,COVID-19 ,Humans ,Laboratories ,Renal Dialysis ,SARS-CoV-2 ,albumin ,body temperature ,clinical trajectories ,creatinine ,ferritin ,interdialytic weight gain ,lymphocytes ,neutrophils ,pulse rate ,systolic blood pressure ,Clinical Sciences ,Urology & Nephrology - Abstract
IntroductionThe clinical impact of COVID-19 has not been established in the dialysis population. We evaluated the trajectories of clinical and laboratory parameters in hemodialysis (HD) patients.MethodsWe used data from adult HD patients treated at an integrated kidney disease company who received a reverse transcription polymerase chain reaction (RT-PCR) test to investigate suspicion of a severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection between May 1 and September 1, 2020. Nonparametric smoothing splines were used to fit data for individual trajectories and estimate the mean change over time in patients testing positive or negative for SARS-CoV-2 and those who survived or died within 30 days of first suspicion or positive test date. For each clinical parameter of interest, the difference in average daily changes between COVID-19 positive versus negative group and COVID-19 survivor versus nonsurvivor group was estimated by fitting a linear mixed effects model based on measurements in the 14 days before (i.e., Day -14 to Day 0) Day 0.ResultsThere were 12,836 HD patients with a suspicion of COVID-19 who received RT-PCR testing (8895 SARS-CoV-2 positive). We observed significantly different trends (p
- Published
- 2022