Adverse events following the first, second and third doses of a COVID-19 vaccine in hemodialysis patients.

BACKGROUND: This study aimed to identify adverse events following the first three doses of COVID-19 vaccines in hemodialysis (HD) patients. Risk factors associated with postvaccination adverse events were explored. METHODS: Postvaccination adverse events in 438 HD patients who received 3 doses of COVID-19 vaccines were prospectively assessed. The adverse events among three doses were compared using generalized linear mixed models. Factors associated with adverse events were assessed with multivariate analyses. RESULTS: The vast majority of participants received Oxford/AstraZeneca ChAdOx1 as their first two doses and Moderna mRNA-1273 as their third dose. Overall, 79%, 50% and 84% of the participants experienced at least one adverse event after their first, second, and third doses, respectively. These adverse events were mostly minor, short-lived and less than 5% reported daily activities being affected. Compared with the first dose, the second dose caused a lower rate of adverse events. Compared with the first dose, the third dose elicited a higher rate of injection site reactions and a lower rate of systemic reactions. Multivariate analyses showed that every 10-year increase of age (odds ratio 0.67, 95% confidence intervals 0.57-0.79) was associated with decreased risk of adverse events, while female sex (2.82, 1.90-4.18) and arteriovenous fistula (1.73, 1.05-2.84) were associated with increased risk of adverse events. Compared with Oxford/AstraZeneca ChAdOx1, Moderna mRNA-1273 was associated with an increased risk of injection site reactions. CONCLUSIONS: COVID-19 vaccination was well tolerated in HD patients. Age, sex, dialysis vascular access and vaccine types were associated with postvaccination adverse events.

Frequency of Early Predialysis Nephrology Care and Postdialysis Cardiovascular Events.

BACKGROUND: Patients with kidney failure are at a high risk for cardiovascular events. Predialysis nephrology care has been reported to improve postdialysis survival, but its effects on postdialysis major adverse cardiovascular events (MACEs) have not been comprehensively studied. STUDY DESIGN: Observational cohort study. SETTING & PARTICIPANTS: We used data from the National Health Insurance Research Database in Taiwan. Adult patients who initiated maintenance dialysis therapy in 1999 to 2010 were enrolled. PREDICTOR: We created 3 subtypes of predialysis nephrology care based on the time between the first nephrology visit and the initiation of dialysis therapy: early frequent (duration ≥ 6 months; at least 1 nephrology visit every 3 months), early infrequent (duration ≥ 6 months, <1 nephrology visit every 3 months), and late (duration < 6 months). OUTCOMES: MACE was defined using the primary diagnosis in hospitalization records of acute myocardial infarction, acute heart failure, acute stroke, or sudden death. MEASUREMENTS: We investigated the associations of different subtypes of nephrology care with postdialysis 1-year MACEs. RESULTS: Among the 60,329 eligible patients, 24,477 (40.6%) had early frequent, 12,763 (21.2%) had early infrequent, and 23,089 (38.3%) had late nephrology care. Compared to the late-nephrology-care group, the early-frequent group was associated with an ∼10% lower risk for 1-year MACEs (HR of 0.89 [95% CI, 0.82-0.96] for first MACE and relative risk of 0.91 [95% CI, 0.84-0.98] for recurrent MACEs). However, the early-infrequent-care group had similar risks for MACEs as the late group (HR of 0.95 [95% CI, 0.86-1.05] for first MACE and relative risk of 0.94 [95% CI, 0.86-1.02] for recurrent MACEs). LIMITATIONS: Lack of physical and biochemical information because of inherent limitations from administrative claims data. CONCLUSIONS: Early frequent nephrology care for 6 or more months before the initiation of long-term dialysis therapy may improve 1-year postdialysis major cardiovascular outcomes.

Physician Compliance With a Computerized Clinical Decision Support System for Anemia Management of Patients With End-stage Kidney Disease on Hemodialysis: Retrospective Electronic Health Record Observational Study.

BACKGROUND: Previous studies on clinical decision support systems (CDSSs) for the management of renal anemia in patients with end-stage kidney disease undergoing hemodialysis have previously focused solely on the effects of the CDSS. However, the role of physician compliance in the efficacy of the CDSS remains ill-defined. OBJECTIVE: We aimed to investigate whether physician compliance was an intermediate variable between the CDSS and the management outcomes of renal anemia. METHODS: We extracted the electronic health records of patients with end-stage kidney disease on hemodialysis at the Far Eastern Memorial Hospital Hemodialysis Center (FEMHHC) from 2016 to 2020. FEMHHC implemented a rule-based CDSS for the management of renal anemia in 2019. We compared the clinical outcomes of renal anemia between the pre- and post-CDSS periods using random intercept models. Hemoglobin levels of 10 to 12 g/dL were defined as the on-target range. Physician compliance was defined as the concordance of adjustments of the erythropoietin-stimulating agent (ESA) between the CDSS recommendations and the actual physician prescriptions. RESULTS: We included 717 eligible patients on hemodialysis (mean age 62.9, SD 11.6 years; male n=430, 59.9%) with a total of 36,091 hemoglobin measurements (average hemoglobin and on-target rate were 11.1, SD 1.4, g/dL and 59.9%, respectively). The on-target rate decreased from 61.3% (pre-CDSS) to 56.2% (post-CDSS) owing to a high hemoglobin percentage of >12 g/dL (pre: 21.5%; post: 29%). The failure rate (hemoglobin <10 g/dL) decreased from 17.2% (pre-CDSS) to 14.8% (post-CDSS). The average weekly ESA use of 5848 (SD 4211) units per week did not differ between phases. The overall concordance between CDSS recommendations and physician prescriptions was 62.3%. The CDSS concordance increased from 56.2% to 78.6%. In the adjusted random intercept model, the post-CDSS phase showed increased hemoglobin by 0.17 (95% CI 0.14-0.21) g/dL, weekly ESA by 264 (95% CI 158-371) units per week, and 3.4-fold (95% CI 3.1-3.6) increased concordance rate. However, the on-target rate (29%; odds ratio 0.71, 95% CI 0.66-0.75) and failure rate (16%; odds ratio 0.84, 95% CI 0.76-0.92) were reduced. After additional adjustments for concordance in the full models, increased hemoglobin and decreased on-target rate tended toward attenuation (from 0.17 to 0.13 g/dL and 0.71 to 0.73 g/dL, respectively). Increased ESA and decreased failure rate were completely mediated by physician compliance (from 264 to 50 units and 0.84 to 0.97, respectively). CONCLUSIONS: Our results confirmed that physician compliance was a complete intermediate factor accounting for the efficacy of the CDSS. The CDSS reduced failure rates of anemia management through physician compliance. Our study highlights the importance of optimizing physician compliance in the design and implementation of CDSSs to improve patient outcomes.

Humoral antibody response to the first dose of the ChAdOx1 nCoV-19 vaccine in Asian patients undergoing hemodialysis.

BACKGROUND AND OBJECTIVES: The immunogenicity of vaccines is known to be attenuated in patients with end-stage kidney disease due to uremia. Patients on dialysis were excluded from coronavirus disease 2019 (COVID-19) vaccine trials; thus, the effectiveness of vaccines for this population is unclear. The aim of this study was to explore whether Asian dialysis patients can effectively produce an immune response after being vaccinated with the first dose of the ChAdOx1 nCoV-19 vaccine. DESIGN SETTING, PARTICIPANTS, AND MEASUREMENTS: In this prospective cohort study, we included Asian hemodialysis patients who received the ChAdOx1 nCoV-19 vaccine. At 3 weeks after the first dose of vaccination, we assessed the humoral immune response by measuring anti-SARS-CoV-2 S antibody titers. The primary outcome was the seropositive rate following vaccination, defined as an antibody titer greater than or equal to 0.8 U/ml. Factors associated with seropositivity were explored in multivariate logistic regression analyses. RESULTS: In total, 434 participants were included. The mean age was 64 years, the mean dialysis vintage was 6 years, and 61% of the participants were men. At a mean time of 22 days from vaccination, 56% of the participants were seropositive. The vast majority (88%) had low antibody titers (< 15 U/ml). The multivariate logistic regression analyses showed that older age (every increase of 10 years, odds ratio [OR] 0.80, 95% CI 0.65-0.98, p = 0.03) was negatively associated with seropositivity and that higher Kt/V (every increase of 0.1, OR 1.14, 95% CI 1.01-1.28, p = 0.03) and higher serum albumin level (every increase of 0.1 g/dl, OR 1.09, 95% CI 1.02-1.18, p = 0.02) were positively associated with seropositivity. CONCLUSIONS: In Asian hemodialysis patients, the seropositive rate was low, and most had low antibody titers after the first dose of the ChAdOx1 nCoV-19 vaccine. Younger age, better dialysis adequacy, and higher albumin levels were associated with seropositivity.

Risk factors for severe hypocalcemia after parathyroidectomy in prevalent dialysis patients with secondary hyperparathyroidism.

PURPOSE: Hypocalcemia is one of the common complications after parathyroidectomy (PTX). Severe hypocalcemia (SH) can lead to tetany, cardiac arrhythmia and even sudden death. However, predictors for the development of SH in patients with secondary hyperparathyroidism demonstrated in some small-scale studies with a limited sample size remain inconclusive. METHODS: A retrospective chart review of 420 consecutive dialysis patients who underwent PTX during a 12-year period was performed. We checked serum levels of calcium (Ca), phosphorus (P), alkaline phosphatase (ALP) and intact parathyroid hormone (iPTH) for three consecutive days postoperatively. SH was defined as the minimum values of serum calcium lower than 1.875 mmol/L (7.5 mg/dL) within 3 days after operation. RESULTS: The mean (±SD) age of our study population was 53 ± 12 years, and more than half (57 %) were female. SH occurred in 37 % of the patients after PTX. Using a multivariate stepwise logistic regression analysis, lower preoperative levels of Ca (odds ratio 0.69, 95 % CI 0.60-0.79, P < 0.001), higher preoperative levels of iPTH (odds ratio 1.04, 95 % CI 1.00-1.07, P = 0.048), P (odds ratio 2.43, 95 % CI 1.49-3.95, P < 0.001) and ALP (odds ratio 1.08, 95 % CI 1.05-1.11, P < 0.001) were found to be independent predictors of occurrence of SH following PTX. CONCLUSIONS: The readily obtainable preoperative laboratory parameters including Ca, iPTH, P, and ALP will allow identification of a subgroup of patients who are at greater risk for the development of SH following PTX.