Author: 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; Usvyat, Len
Title: Trajectories of clinical and laboratory characteristics associated with COVIDâ€19 in hemodialysis patients by survival Cord-id: ytti6uah Document date: 2021_8_10
ID: ytti6uah
Snippet: INTRODUCTION: The clinical impact of COVIDâ€19 has not been established in the dialysis population. We evaluated the trajectories of clinical and laboratory parameters in hemodialysis (HD) patients. METHODS: We used data from adult HD patients treated at an integrated kidney disease company who received a reverse transcription polymerase chain reaction (RTâ€PCR) test to investigate suspicion of a severe acute respiratory syndrome coronavirusâ€2 (SARSâ€CoVâ€2) infection between May 1 and Sep
Document: INTRODUCTION: The clinical impact of COVIDâ€19 has not been established in the dialysis population. We evaluated the trajectories of clinical and laboratory parameters in hemodialysis (HD) patients. METHODS: We used data from adult HD patients treated at an integrated kidney disease company who received a reverse transcription polymerase chain reaction (RTâ€PCR) test to investigate suspicion of a severe acute respiratory syndrome coronavirusâ€2 (SARSâ€CoVâ€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 SARSâ€CoVâ€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 COVIDâ€19 positive versus negative group and COVIDâ€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. RESULTS: There were 12,836 HD patients with a suspicion of COVIDâ€19 who received RTâ€PCR testing (8895 SARSâ€CoVâ€2 positive). We observed significantly different trends (p < 0.05) in preâ€HD systolic blood pressure (SBP), preâ€HD pulse rate, body temperature, ferritin, neutrophils, lymphocytes, albumin, and interdialytic weight gain (IDWG) between COVIDâ€19 positive and negative patients. For COVIDâ€19 positive group, we observed significantly different clinical trends (p < 0.05) in preâ€HD pulse rate, lymphocytes, neutrophils, and albumin between survivors and nonsurvivors. We also observed that, in the group of survivors, most clinical parameters returned to preâ€COVIDâ€19 levels within 60–90 days. CONCLUSION: We observed unique temporal trends in various clinical and laboratory parameters among HD patients who tested positive versus negative for SARSâ€CoVâ€2 infection and those who survived the infection versus those who died. These trends can help to define the physiological disturbances that characterize the onset and course of COVIDâ€19 in HD patients.
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