Risk prediction of COVID-19 incidence and mortality in a large multi-national hemodialysis cohort: implications for management of the pandemic in outpatient hemodialysis settings

Risk Factors and Drug Efficacy for Severe Illness in Hemodialysis Patients Infected with the Omicron Variant of COVID-19

INTRODUCTION

The Omicron variant of the novel coronavirus (COVID-19) has been spreading more rapidly and is more infectious, posing a higher risk of death and treatment difficulty for patients undergoing hemodialysis. This study aims to explore the severity rate and risk factors for hemodialysis patients infected with the Omicron variant and to conduct a preliminary analysis of the clinical efficacy of drugs.

METHODS

Clinical and biochemical indicators of 219 hemodialysis patients infected with the Omicron variant were statistically analyzed. The patients were divided into two groups based on whether they were severely ill or not, and multiple regression analysis was conducted to determine the risk factors for severe illness. The severely ill patients were then grouped based on discharge or death, and the treatment drugs were included as influencing factors for multiple regression analysis to determine the risk factors and protective factors for death of severely ill patients, and drug efficacy analysis was conducted.

RESULTS

Analysis showed that diabetes, low oxygen saturation, and high C-reactive protein (CRP) were independent risk factors for severe illness in hemodialysis patients infected with the Omicron variant. A history of diabetes and high C-reactive significantly increased the risk of severe illness in patients (aOR: 1.450; aOR: 1.011), while a high oxygen saturation level can reduce this risk (aOR: 0.871). In addition, respiratory distress was an independent risk factor for death in severely patients, significantly reducing the probability of discharge for patients (aOR: 0.152). The drugs thymalfasin and Tanreqing significantly increased the probability of discharge for patients (aOR: 1.472; aOR: 3.104), with the latter having a higher correlation, but with a relatively longer effective course.

CONCLUSION

Hemodialysis patients infected with the Omicron variant of COVID-19 should pay special attention to their history of diabetes, CRP, and oxygen saturation levels, as well as respiratory distress symptoms, to reduce the risk of severe illness and death. In addition, thymalfasin and Tanreqing may be considered in treatment.

End-stage kidney disease patients with severe coronavirus disease: clinical characteristics, biological data, and mortality in nephrology unit, short communication

Patients suffering from end-stage kidney disease (ESKD) are particularly vulnerable to SARS-CoV-2 infection, and their risk of death is higher than for the general population. The objective was to determine the epidemiologic profile at admission and mortality among patients presenting EKSD with severe coronavirus disease (COVID-19).

METHODS

A retrospective study was conducted in the Nephrology unit between October 2020 and February 2022. Were included all adult patients who presented ESKD on dialysis, or not on dialysis with an estimated glomerular filtration rate less than or equal to 15 ml/min/1.73 m2 and presenting a confirmed COVID-19. Patients with ESKD who were immediately admitted to the ICU were excluded.

RESULTS

Sixty-five patients' data were collected. The mean age was 58.9 ±16.7 years and 60% were males. Hypertension arterial and diabetes observed in 75% and 56.3% of cases, respectively. 52.3% were on haemodialysis, 4.6% were on peritoneal dialysis and 43.1% not were on dialysis. 94% of the patients were symptomatic of COVID-19, dominated by dyspnoea (87.5%), cough (65.6%), and fever (58.5%). More than half of patients (58.5%) showed signs of gravity and 62% required oxygen therapy. According to thoracic scan, 72.3% were classified COVID-19 Raw Data System 5 and 6. Most patients had severe anaemia (58.5%), lymphopenia (81.3%), and high levels of C-reactive protein (54%), D-Dimer (93.6%) and ferritin (91.2%). 38.5% of patients presented complications of whom 60% were transferred to ICU. Mortality was observed in 8% of cases.

CONCLUSION

Rigorous monitoring is necessary for patients in ESKD, particularly those with comorbidities, to reduce the risk of severe form of COVID-19.

Azvudine therapy of common COVID-19 in hemodialysis patients

There is no antiviral study on hemodialysis patients infected with coronavirus disease 2019 (COVID-19), especially on the application of 2'-deoxy-2'-β -fluoro-4'-azidocytidine (Azvudine, FNC) antiviral therapy. We conducted a multicenter observational study involving 1008 hemodialysis patients. After matching for age, sex, and other factors, 182 patients in the basic treatment group and 182 in the FNC group were included. The negative nucleic acid conversion rate of the FNC group was significantly higher than that of the basic treatment group, and viral loads, interleukin-6, and C-reactive protein were significantly lower than those of the basic treatment group (p < 0.05). There were no significant differences in liver function, renal function, or the number of adverse events between the two groups (p > 0.05). In conclusion, our study has provided novel evidence suggesting that the FNC scheme may be safe and effective compared to the basic treatment of hemodialysis patients with common COVID-19.

Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data

Background

The coronavirus disease 2019 (COVID-19) pandemic has created more devastation among dialysis patients than among the general population. Patient-level prediction models for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are crucial for the early identification of patients to prevent and mitigate outbreaks within dialysis clinics. As the COVID-19 pandemic evolves, it is unclear whether or not previously built prediction models are still sufficiently effective.

Methods

We developed a machine learning (XGBoost) model to predict during the incubation period a SARS-CoV-2 infection that is subsequently diagnosed after 3 or more days. We used data from multiple sources, including demographic, clinical, treatment, laboratory, and vaccination information from a national network of hemodialysis clinics, socioeconomic information from the Census Bureau, and county-level COVID-19 infection and mortality information from state and local health agencies. We created prediction models and evaluated their performances on a rolling basis to investigate the evolution of prediction power and risk factors.

Result

From April 2020 to August 2020, our machine learning model achieved an area under the receiver operating characteristic curve (AUROC) of 0.75, an improvement of over 0.07 from a previously developed machine learning model published by Kidney360 in 2021. As the pandemic evolved, the prediction performance deteriorated and fluctuated more, with the lowest AUROC of 0.6 in December 2021 and January 2022. Over the whole study period, that is, from April 2020 to February 2022, fixing the false-positive rate at 20%, our model was able to detect 40% of the positive patients. We found that features derived from local infection information reported by the Centers for Disease Control and Prevention (CDC) were the most important predictors, and vaccination status was a useful predictor as well. Whether or not a patient lives in a nursing home was an effective predictor before vaccination, but became less predictive after vaccination.

Conclusion

As found in our study, the dynamics of the prediction model are frequently changing as the pandemic evolves. County-level infection information and vaccination information are crucial for the success of early COVID-19 prediction models. Our results show that the proposed model can effectively identify SARS-CoV-2 infections during the incubation period. Prospective studies are warranted to explore the application of such prediction models in daily clinical practice.

Waning Humoral Response 6 Month after Double Vaccination with the mRNA-BNT162b2 Vaccine in Hemodialysis Patients

Introduction

Although most hemodialysis patients (HDP) exhibit an initial seroresponse to vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), studies have shown this response to be lower compared to healthy subjects. This fact raised concerns regarding the durability of the immune response and effective protection against severe Coronavirus disease 2019 (COVID-19) in this vulnerable population. The aim of our study was to evaluate the change in antibody levels over time in HDP population.

Materials and Methods

We performed a prospective multicenter study, evaluating antibody response among HDP at 2 and at 6 months after complete two-dose vaccination course with the mRNA-BNT162b2 (Pfizer-BioNTech) vaccine. The study was performed in 14 hemodialysis units of a private dialysis provider in Lithuania. The serum samples of 189 HDP were tested for SARS-CoV-2 IgG against the Spike glycoprotein.

Results

189 HDP participated in the study. Patients were 64.3±15.7 years of age, 116 (61.4%) were males and 73 (38.6%) were females. Among them, 183 (96.8%) were seropositive for anti-S IgG at 2 months after the second immunization dose. Six months after the second dose only 145 (76.7%) of study participants had positive anti-S IgG titers. The median level of anti-S IgG titers after 2 months was 383.1 BAU/mL (166.2-995.6) and after 6 months this level significantly decreased to 51.4 BAU/mL (22.0-104.0) (p<0.001). Seroresponses at both time points inversely correlated with increasing patient's age. Risk factor for absent response after 2 months included oncologic disease. Systemic autoimmune disease and a history of myocardial infarction increased risk to be seronegative 6 months after the second vaccine dose.

Conclusions

The majority of hemodialysis patients seroresponded after BNT162b2/Pfizer vaccination, but vaccine-induced humoral immunity wanes over time.

Sex differences in COVID-19 mortality risk in patients on kidney function replacement therapy

In the general population with COVID-19, the male sex is an established risk factor for mortality, in part due to a more robust immune response to COVID-19 in women. Because patients on kidney function replacement therapy (KFRT) have an impaired immune response, especially kidney transplant recipients due to their use of immunosuppressants, we examined whether the male sex is still a risk factor for mortality among patients on KFRT with COVID-19. From the European Renal Association COVID-19 Database (ERACODA), we examined patients on KFRT with COVID-19 who presented between February 1st, 2020, and April 30th, 2021. 1204 kidney transplant recipients (male 62.0%, mean age 56.4 years) and 3206 dialysis patients (male 61.8%, mean age 67.7 years) were examined. Three-month mortality in kidney transplant recipients was 16.9% in males and 18.6% in females (p = 0.31) and in dialysis patients 27.1% in males and 21.9% in females (p = 0.001). The adjusted HR for the risk of 3-month mortality in males (vs females) was 0.89 (95% CI 65, 1.23, p = 0.49) in kidney transplant recipients and 1.33 (95% CI 1.13, 1.56, p = 0.001) in dialysis patients (p_interaction = 0.02). In a fully adjusted model, the aHR for the risk of 3-month mortality in kidney transplant recipients (vs. dialysis patients) was 1.39 (95% CI 1.02, 1.89, p = 0.04) in males and 2.04 (95% CI 1.40, 2.97, p < 0.001) in females (p_interaction = 0.02). In patients on KFRT with COVID-19, the male sex is not a risk factor for mortality among kidney transplant recipients but remains a risk factor among dialysis patients. The use of immunosuppressants in kidney transplant recipients, among other factors, may have narrowed the difference in the immune response to COVID-19 between men and women, and therefore reduced the sex difference in COVID-19 mortality risk.

Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countries

Background

We developed machine learning models to understand the predictors of shorter-, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by COVID-19 in four countries in the Americas.

Methods

We used data from adult HD patients treated at regional institutions of a global provider in Latin America (LatAm) and North America who contracted COVID-19 in 2020 before SARS-CoV-2 vaccines were available. Using 93 commonly captured variables, we developed machine learning models that predicted the likelihood of death overall, as well as during 0–14, 15–30, > 30 days after COVID-19 presentation and identified the importance of predictors. XGBoost models were built in parallel using the same programming with a 60%:20%:20% random split for training, validation, & testing data for the datasets from LatAm (Argentina, Columbia, Ecuador) and North America (United States) countries.

Results

Among HD patients with COVID-19, 28.8% (1,001/3,473) died in LatAm and 20.5% (4,426/21,624) died in North America. Mortality occurred earlier in LatAm versus North America; 15.0% and 7.3% of patients died within 0–14 days, 7.9% and 4.6% of patients died within 15–30 days, and 5.9% and 8.6% of patients died > 30 days after COVID-19 presentation, respectively. Area under curve ranged from 0.73 to 0.83 across prediction models in both regions. Top predictors of death after COVID-19 consistently included older age, longer vintage, markers of poor nutrition and more inflammation in both regions at all timepoints. Unique patient attributes (higher BMI, male sex) were top predictors of mortality during 0–14 and 15–30 days after COVID-19, yet not mortality > 30 days after presentation.

Conclusions

Findings showed distinct profiles of mortality in COVID-19 in LatAm and North America throughout 2020. Mortality rate was higher within 0–14 and 15–30 days after COVID-19 in LatAm, while mortality rate was higher in North America > 30 days after presentation. Nonetheless, a remarkable proportion of HD patients died > 30 days after COVID-19 presentation in both regions. We were able to develop a series of suitable prognostic prediction models and establish the top predictors of death in COVID-19 during shorter-, intermediate-, and longer-term follow up periods.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12882-022-02961-x.

Analysis of the impact of various risk factors on short-term and long-term outcomes in patients with COVID-19 on maintenance hemodialysis

Patients receiving renal replacement therapy (RRT) in the form of maintenance hemodialysis (MHD) belong to a group of particularly high risk of infection and the course of COVID-19. The new coronavirus infection also has a great impact on long-term outcomes.

Materials and methods: A retrospective observational study included 510 patients on MHD, hospitalized from April 1, 2020 to April 01, 2021. The outcome of hospitalization was chosen as the primary endpoint of the study: discharge or 28day mortality. Death within 6 months after discharge and the development of complications related to COVID-19 during this period were considered as secondary endpoints. Data collection was carried out by analyzing electronic and archival medical records. Quantitative variables: age, duration of hospitalization, days in the intensive care unit, laboratory blood parameters: the level of D-Dimer, Glucose, Interleukin-6, Procalcitonin, Lymphocytes and Platelets, CRP, CPK, CPK-MB, LDH, Fibrinogen, Ferritin. Qualitative indicators: gender, ventilator, ARDS, the presence of diabetes, the presence of obesity, the presence of complications: cardiovascular, gastrointestinal, septic, macrothrombotic, stage of pneumonia. To identify statistically significant predictors of the risk of an event, the odds ratio (OR) method was used.

Results: average age 57.8±14 years, men – 59.5%, average bed day 17.6±10.6 days. In concomitant diseases, diabetes mellitus was indicated in 24% of patients, obesity was registered in 4.3% of patients. Hospital mortality (28-day) in the total cohort of follow-up was 16.05%, in total with out-ofhospital mortality of 22%. Mortality in intensive care reached 62.7%, on ventilator more than 86%, with ARDS 94.3%. No statistical significance was revealed by gender and the presence of diabetes mellitus (DM) in concomitant diseases. When comparing short-term outcomes, the age groups over 65 differed statistically. The following laboratory blood parameters showed a significant difference (P<0.001): D-Dimer, Glucose, IL-6 lymphocytes, Leukocytes, Neutrophils, Platelets, LDH, Ferritin. The following odds ratios (OR) were obtained: ARDS (OR 143.78; 95% CI 33.4-616.2; p=0.0001), on ventilator (OR 57.96; 95% CI 23.1-144.5; p=0.0001), the presence of septic complications (OR 26.4; 95% CI 13.8-50; p=0.0001), the course of the disease is defined as severe (OR 25; 95% CI 12.9-48.2; p=0.0001), the course of the disease is defined as complicated (OR 11.6; 95% CI 6.8-19.7; p=0.0001), the presence of gastrointestinal complications (OR 6.5; 95% CI 2.28-18.4; p=0.0007), the presence of obesity (OR 2.57; 95% CI 1.0-6.5; p=0.039). Mortality of patients receiving two main treatment regimens T-1 and T-2 did not differ (15.8% vs 15.7%). Significant differences (p=0.0001) appeared when compared with the T-0 and T-4 schemes, in which mortality was recorded at 8.8% and 85.7%, respectively. When comparing long-term outcomes, the analysis did not reveal statistical significance by gender. The statistical difference was noted by age. Among laboratory indicators, the PCT level was higher in survivors with complications. A significant difference among all survivors and deceased (P<0.001) was shown by: D-Dimer, blood glucose level, IL-6, CRP. The highest OR was calculated for the following indicators: the presence of gastrointestinal complications (OR 7.7; 95% CI 1.0-57.7; p=0.03), the initial LDH blood level of 622 units /l (OR 4.7; 95% CI 1.63-13.63; p=0.0086), the course of the disease defined as complicated (OR 4.05; 95% 1.97-8.33; p=0.003), the course of the disease is defined as severe (OR 2.4; 95% CI 1.17-5.0; p=0.03).

Conclusions: gastrointestinal complications had the greatest impact on unfavorable short-term and long-term outcomes in patients on programmed hemodialysis. In relation to such laboratory markers as Ferritin, CRH, LDH, threshold values of a significant increase in the chances characteristic of dialysis patients were obtained. During the first year of the epidemic, therapy remained largely supportive and aimed at preventing complications, the main isolated treatment regimens showed no significant differences in the impact on the outcomes of COVID-19.

SARS-CoV-2 in dialysis patients and the impact of vaccination

Background

In centre haemodialysis (ICHD) patients have been identified as high risk of contracting Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection due to frequent healthcare contact and poor innate and adaptive immunity. Our ICHD patients were offered immunisation from January 2021. We aimed to assess outcomes following SARS-CoV-2 infection and report on the effect of vaccination in our ICHD patients.

Methods

Demographics, SARS-CoV-2 status, hospitalisation, mortality and vaccination status were analysed. From 11^th March 2020 to 31^st March 2021, 662 ICHD patients were included in the study and these patients were then followed up until 31^st August 2021.

Results

SARS-CoV-2 infection occurred in 28.4% with 51.1% of them requiring hospitalisation in contrast to community infection rates of 13.9% and hospitalisation of 9.0%. 28-day mortality was 19.2% in comparison to 1.9% of the community. Mortality increased to 34.0% over the study period. Mortality over the study period was 1.8 times in infected patients (HR 1.81 (1.32–2.49) P < 0.001) despite adjustment for age, gender and ethnicity. 91.3% of ICHD patients have now received both doses of SARS-CoV-2 vaccinations.

Conclusions

ICHD patients are at increased risk of acquiring SARS-CoV-2, with increased rates of hospitalisation and mortality. The increased mortality extends well beyond the 28 days post-infection and persists in those who have recovered. Peaks and troughs in infection rates mirrored community trends. Preliminary data indicates that the SARS-CoV-2 vaccination provides protection to ICHD patients, with ICHD case rates now comparable to that of the local population.

Diabetes and Mortality among Patients with Chronic Kidney Disease and COVID-19: A Systematic Review, Meta-analysis, and Meta-regression

Introduction:

Patients with kidney disease and COVID-19, whether on hemodialysis (HD) or not, have a higher risk of contracting COVID-19 accompanied by a higher mortality rate due to suppressed immune functions. Diabetes, one of the ubiquitous etiology of kidney disease, is also associated with a composite of poor outcomes.

Methods:

Meta-analysis and meta-regression of 13 articles on COVID-19 patients with chronic kidney disease, with information on diabetes and mortality were performed using Review Manager 5.4 and OpenMetaAnalyst.

Results:

The meta-analysis of a pooled subject of 18,822 patients showed that the presence of diabetes in CKD patients with COVID-19 was associated with an increased risk of mortality (RR 1.41 (1.15, 1.72); P < 0.001; I2 70%, P < 0.001). Subgroup analysis showed that diabetes was not associated with mortality in the HD group (RR 1.27 (1.06, 1.54); P = 0.01; I2 0%, P = 0.70) but showed a significant association in the non-HD group (RR 1.66 (1.59, 1.73); P < 0.001; I2 85%, P < 0.001). Male gender (P = 0.070) contributed to the effect size differences (age: P < 0.001; hypertension: P = 0.007; CVD: P < 0.001; lung disease: P < 0.001).

Conclusions:

Diabetes was associated with higher mortality risk among CKD patients, primarily those who did not need RRT.

Humoral immunogenicity and tolerability of heterologous ChAd/BNT compared with homologous BNT/BNT and ChAd/ChAd SARS-CoV-2 vaccination in hemodialysis patients : A multicenter prospective observational study

BACKGROUND

After the reports of severe adverse reactions to the AstraZeneca ChAdOx1-S-nCoV-19 vaccine, patients who had received one dose of ChAdOx1-S-nCoV-19 vaccine were recommended a second dose of Pfizer's BNT162b2 vaccine. In hemodialysis patients, we compared the humoral immunogenicity and tolerability of homologous vaccination with ChAdOx1-nCoV-19/ChAdOx1-nCoV-19 (ChAd/ChAd) and BNT162b2/BNT162b2 (BNT/BNT) with heterologous vaccination of first dose of ChAdOx1-nCoV-19 and a second dose with BNT162b2 (ChAd/BNT).

METHODS

In a multicenter prospective observational study, SARS-CoV-2 spike-IgG antibody levels, Nucleocapsid-protein-IgG-antibodies, and vaccine tolerability were assessed 6 weeks after second SARS-CoV-2 vaccination in 137 hemodialysis patients and 24 immunocompetent medical personnel.

RESULTS

In COVID-19-naïve hemodialysis patients, significantly higher median SARS-CoV-2-spike IgG levels were found after ChAd/BNT (N = 16) compared to BNT/BNT (N = 100) or ChAd/ChAd (N = 10) (1744 [25th-75th percentile 276-2840] BAU/mL versus 361 [25th-75th percentile 120-936] BAU/mL; p = 0.009; 1744 [25th-75th percentile 276-2840] BAU/mL versus 100 [25th-75th percentile 41-346] BAU/mL; p = 0.017, respectively). Vaccinated, COVID-19-naïve medical personnel had median SARS-CoV-2 spike-IgG levels of 650 (25th-75th percentile 217-1402) BAU/mL and vaccinated hemodialysis patients with prior COVID-19 7047 (25th-75th percentile 685-10,794) BAU/mL (N = 11). In multivariable regression analysis, heterologous vaccination (ChAd/BNT) of COVID-19-naïve hemodialysis patients was independently associated with SARS-CoV-2 spike-IgG levels. The first dose of ChAd and the second dose of BNT after the first vaccination with ChAd (heterologous vaccination, ChAd/BNT) were associated with more frequent but manageable side effects compared with homologous BNT.

CONCLUSIONS

Within the limitations of this study, heterologous vaccination with ChAd/BNT appears to induce stronger humoral immunity and more frequent but manageable side effects than homologous vaccination with BNT/BNT or with ChAd/ChAd in COVID-19-naïve hemodialysis patients.

Patients with hemodialysis-induced hypoxemia had a poor prognosis of COVID-19

Background

We experienced that some hemodialysis (HD) patients with coronavirus disease 2019 (COVID-19) exacerbated hypoxemia during HD. Though HD-induced hypoxemia has been reported, there have been no reports of HD-induced hypoxemia in patients with COVID-19 and its effect on prognosis of COVID-19.

Methods

Eleven HD patients admitted with COVID-19 from August 2020 to April 2021 were classified into the patients whose oxygen demand increased by more than 3 L/min with mask during HD (worsened group, n = 5) and others (not-worsened group, n = 6). The background, laboratory findings, severity of COVID-19 and prognosis were compared between the two groups. In addition, blood gases were measured before and after dialysis among HD patients admitted with COVID-19 on April 2021 (n = 3).

Results

There were no significant differences in backgrounds, except for a higher proportion of diabetes mellitus in worsened group (p = 0.04). Although laboratory findings were not significantly different on admission day, albumin and LDH levels 7 days after admission were significantly lower and higher in worsened group, respectively (p = 0.03 and < 0.01). The severity of COVID-19 and survival rate were significantly worse in worsened group (p = 0.01 and 0.03). The alveolar-arterial oxygen pressure difference (Aa-DO₂) opened during HD in a patient with HD-induced hypoxemia, but did not open in patients without HD-induced hypoxemia.

Conclusions

There is a close relationship among HD-induced hypoxemia and poor prognosis of COVID-19. The HD-induced hypoxemia of patients with COVID-19 may be caused by ventilation/perfusion mismatching.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41100-022-00408-5.

BNT162b2 vaccine considerations for immunocompromised individuals: A global perspective

With the emergence of COVID-19 vaccines, individuals with comorbidities and immunosuppression require particular attention and should be prioritized for vaccination. However, the majority of vaccine clinical trials excluded people with comorbidities, resulting in a lack of data regarding vaccine efficacy in this demographic. Along with more inclusivity in clinical trials, reaching a definitive conclusion regarding vaccine efficacy in these patients is also crucial. In our review, we highlight the BNT162b2 vaccine safety and efficacy based on the limited number of clinical trials which included this demographic. We also provide vaccine considerations for individuals with cancer, autoimmune diseases, HIV, obesity, diabetes, organ transplant recipients and those undergoing maintenance haemodialysis to help them govern their decision regarding vaccine administration. In conclusion, further studies are required to alleviate any insecurities in patients with comorbidities regarding vaccination and it is recommended that patients are monitored post-vaccination to make sure sufficient immunity is achieved.

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With the emergence of COVID-19 vaccines, individuals with comorbidities and immunosuppression should be prioritized for vaccination.

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In our review, we highlight the BNT162b2 vaccine safety and efficacy in immunocompromised individuals.

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Further studies are required to alleviate any insecurities in patients with comorbidities regarding vaccination.

Improved immunologic response to COVID-19 vaccine with prolonged dosing interval in haemodialysis patients

Vaccination against 2019 coronavirus disease (COVID-19) can reduce disease incidence and severity. Dialysis patients demonstrate a delayed immunologic response to vaccines. We determined factors affecting the immunologic response to COVID-19 vaccines in haemodialysis patients. All patients within a Swedish haemodialysis network, vaccinated with two doses of COVID-19 vaccine 2-8 weeks before inclusion, were eligible for this cross-sectional study. Severe adult respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein antibody levels were determined by EliA SARS-CoV-2-Sp1 IgG test (Thermo Fisher Scientific, Phadia AB) and related to clinical and demographic parameters. Eighty-nine patients were included. Patients were vaccinated with two doses of Comirnaty (BNT162b2, 73%) or Spikevax (mRNA-1273, 23,6%). Three patients received combinations of different vaccines. Response rate (antibody titres >7 U/mL) was 89.9%, while 39.3% developed high antibody titres (>204 U/mL), 47 (43-50) days after the second dose. A previous COVID-19 infection associated with higher antibody titres (median (25th-75th percentile) 1558.5 (814.5-3,763.8) U/mL vs 87 (26-268) U/mL, P = .002), while time between vaccine doses did not differ between groups (P = .7). Increasing SARS-CoV-2 antibody titres were independently associated with increasing time between vaccine doses (B 0.241, P = .02), decreasing serum calcium levels (B -0.233, P = .007) and previous COVID-19 (B 1.078, P < .001). In conclusion, a longer interval between COVID-19 mRNA vaccine doses, lower calcium and a previous COVID-19 infection were independently associated with a stronger immunologic vaccination response in haemodialysis patients. While the response rate was good, only a minority developed high antibody titres, 47 (43-50) days after the second vaccine dose.

Lived Experiences of Patients Receiving Hemodialysis during the COVID-19 Pandemic: A Qualitative Study from the Quebec Renal Network

Background

Hemodialysis patients have faced unique challenges during the COVID-19 pandemic. They face high risk of death if infected and have unavoidable exposure to others when they come to hospital three times weekly for their life-saving treatments. The objective of this study was to gain a better understanding of the scope and magnitude of the effects of the pandemic on the lived experience of patients receiving in-center hemodialysis.

Methods

We conducted semi-structured interviews with 22 patients who were undergoing dialysis treatments in five hemodialysis centers in Montreal from November 2020 to May 2021. Interviews were transcribed and then analyzed using thematic content analysis.

Results

Most participants reported no negative effects of the COVID-19 pandemic on their hemodialysis care. Several patients had negative feelings related to forced changes in their dialysis schedules, and this was especially pronounced for indigenous patients in a shared living situation. Some patients were concerned about contracting COVID-19, especially during public transportation, whereas others expressed confidence that the physical distancing and screening measures implemented at the hospital would protect them and their loved ones. Some participants reported that masks negatively affected their interactions with health care workers, and for many others, the pandemic was associated with feelings of loneliness. Finally, some respondents reported some positive effects of the pandemic, including use of telemedicine and creating a sense of solidarity.

Conclusions

Patients undergoing hemodialysis reported no negative effects on their medical care but faced significant disruptions in their routines and social interactions due to the COVID-19 pandemic. Nevertheless, they showed great resilience in their ability to adapt to the new reality of their hemodialysis treatments. We also show that studies focused on understanding the lived experiences of indigenous patients and patients from different ethnic backgrounds are needed in order reduce inequities in care during public health emergencies.

Time-dependent evolution of IgG antibody levels after first and second dose of mRNA-based SARS-CoV-2 vaccination in haemodialysis patients: a multicentre study

BACKGROUND

Vaccination programs are essential for the containment of the coronavirus disease 2019 pandemic, which has hit haemodialysis populations especially hard. Early reports suggest a reduced immunologic response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in dialysis patients, in spite of a high degree of seroconversion. We aimed to identify risk factors for a reduced efficacy of an mRNA vaccine in a cohort of haemodialysis patients.

METHOD

In a multicentre study, including 294 Portuguese haemodialysis patients who had received two doses of BNT162b2 with a 3-week interval, immunoglobulin G-class antibodies against the SARS-CoV-2 spike protein were determined 3 weeks after the first dose (M1) and 6 weeks after the second dose (M2). The threshold for seroconversion was 10 UR/mL. Demographic and clinical data were retrieved from a quality registry. Adverse events were registered using a questionnaire.

RESULTS

At M2, seroconversion was 93.1% with a median antibody level of 197.5 U/mL (1.2-3237.0) and a median increase of 180.0 U/mL (-82.9 to 2244.6) from M1. Age [beta -8.9; 95% confidence interval (95% CI) -12.88 to -4.91; P < 0.0001], ferritin >600 ng/mL (beta 183.93; 95% CI 74.75-293.10; P = 0.001) and physical activity (beta 265.79; 95% CI 30.7-500.88; P = 0.03) were independent predictors of SARS-CoV-2 antibody levels after two vaccine doses. Plasma albumin >3.5 g/dL independently predicted the increase of antibody levels between both doses (odds ratio 14.72; 95% CI 1.38 to 157.45; P = 0.03). Only mild adverse reactions were observed in 10.9% of patients.

CONCLUSIONS

The SARS-CoV-2 vaccine BNT162b2 is safe and effective in haemodialysis patients. Besides age, iron status and nutrition are possible modifiable modulators of the immunologic response to SARS-CoV-2 mRNA vaccines. These data suggest the need for an early identification of populations at higher risk for diminished antibody production and the potential advantage of the implementation of oriented strategies to maximize the immune response to vaccination in these patients.

Predictors of Mortality in Hemodialyzed Patients after SARS-CoV-2 Infection

Introduction: The determinants of COVID-19 mortality are well-characterized in the general population. Less numerous and inconsistent data are among the maintenance hemodialysis (HD) patients, who are the population most at risk of an unfavorable prognosis. Methods: In this retrospective cohort study we included all adult HD patients from the Pomeranian Voivodeship, Poland, with laboratory-confirmed SARS-CoV-2 infection hospitalized between 6 October 2020 and 28 February 2021, both those who survived, and also those who died. Demographic, clinical, treatment, and laboratory data on admission, were extracted from the electronic medical records of the dedicated hospital and patients’ dialysis unit, and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with 3-month all-cause mortality. Results: The 133 patients (53.38% males) aged 73.0 (67–79) years, with a median duration of hemodialysis of 42.0 (17–86) months, were included in this study. At diagnosis, the majority were considered to have a mild course (34 of 133 patients were asymptomatic, another 63 subjects presented mild symptoms), while 36 (27.07%) patients had low blood oxygen saturation and required oxygen supplementation. Three-month mortality was 39.08% including an in-hospital case fatality rate of 33.08%. Multivariable logistic regression showed that the frailty clinical index of 4 or greater (OR 8.36, 95%CI 1.81–38.6; p < 0.01), D-Dimer of 1500 ng/mL or greater (6.00, 1.94–18.53; p < 0.01), and CRP of >118 mg/L at admission (3.77 1.09–13.01; p = 0.04) were found to be predictive of mortality. Conclusion: Very high 3-month all-cause mortality in hospitalized HD patients was determined mainly by frailty. High CRP and D-dimer levels upon admission further confer mortality risk.

OUP accepted manuscript

The year 2021 was the last full year of Alberto Ortiz’s editorship at Clinical Kidney Journal (CKJ). On May 2022, Maria José Soler will start her term as the Editor-in-Chief. Over these years, CKJ obtained its first journal impact factor and has consolidated its position among the top journals in the field, consistently ranking among the top 25% (first quartile) journals in Urology and Nephrology. The 2020 journal impact factor rose to 4.45, becoming the top open access journal in Nephrology and the ninth ranked Nephrology journal overall. We now review the recent history of the journal and the most highly cited topics which include the epidemiology of kidney disease, chronic kidney disease topics, such as the assessment and treatment of chronic kidney disease, onconephrology, cardionephrology, glomerular disease, transplantation and coronavirus disease 2019 (COVID-19).

Immunogenicity and tolerability of COVID-19 vaccination in peritoneal dialysis patients-A prospective observational cohort study

BACKGROUND

In peritoneal dialysis (PD) patients, information on the immunogenicity and tolerability of SARS-CoV-2 vaccination is still scarce. We compared the immunogenicity and tolerability of SARS-CoV-2 vaccination of PD patients with that of medical personnel.

METHODS

In a prospective observational cohort study, PD patients and immunocompetent medical personnel were evaluated for SARS-CoV-2 spike-IgG- and Nucleocapsid-IgG-antibody-levels before, 2 weeks after the first, and 6 weeks after the second SARS-CoV-2 vaccination and vaccine tolerability after the first and second vaccination.

RESULTS

In COVID-19-naïve PD patients (N = 19), lower SARS-CoV-2-spike-IgG-levels were found compared with COVID-19-naïve medical personnel (N = 24) 6 weeks after second vaccination (median 1438 AU/ml [25th-75th percentile 775-5261] versus 4577 [1529-9871]; p = 0.045). This finding resulted in a lower rate of strong vaccine response (spike-IgG ≥ 1000 AU/ml) of COVID-19-naïve PD patients compared with medical personnel (58% versus 92%; p = 0.013), but not for seroconversion rate (spike-IgG ≥ 50 AU/ml: 100% vs. 100%; p > 0.99). After first vaccination, COVID-naïve PD patients presented with significantly fewer side effects than medical personnel (number of any side effect: 1 [1-2] vs. 4 [1-7]; p = 0.015). A similar pattern with slightly decreased frequencies of side effects was observed for tolerability of second SARS-CoV-2 vaccination in PD patients and medical personnel (number of any side effects: 1 [1-1] vs. 2 [1-5]; p = 0.006).

CONCLUSIONS

SARS-CoV-2 vaccination in COVID-19-naïve PD patients appeared to induce a very high rate of seroconversion but a substantially lower rate of patients with a strong response compared with medical personnel. Vaccination appeared to be safe in the PD patients studied.

Immunogenicity of a first dose of mRNA- or vector-based SARS-CoV-2 vaccination in dialysis patients: a multicenter prospective observational pilot study

BACKGROUND

Dialysis patients are at risk for lower SARS-CoV-2-vaccine immunogenicity than the normal population. We assessed immunogenicity to a first mRNA- or vector-based SARS-CoV-2-vaccination dose in dialysis patients.

METHODS

In a multicenter observational pilot study, 2 weeks after a first vaccination (BNT162b2/Pfizer-BioNTech [Comirnaty] or ChAdOx1 nCoV-19/Oxford-Astra-Zeneca [Vaxzevria]), hemodialysis patients (N = 23), peritoneal dialysis patients (N = 4) and healthy staff (N = 14) were tested for SARS-CoV-2-spike IgG/IgM, Nucleocapsid-protein-IgG-antibodies and plasma ACE2-receptor-binding-inhibition capacity. Hemodialysis patients who had had prior COVID-19 infection (N = 18) served as controls. Both response to first SARS-CoV-2 vaccination and IgG spike-positivity following prior COVID-19 infection were defined as SARS-CoV-2 spike IgG levels ≥ 50 AU/mL.

RESULTS

Vaccination responder rates were 17.4% (4/23) in hemodialysis patients, 100% (4/4) in peritoneal dialysis patients and 57.1% (8/14) in staff (HD vs. PD: p = 0.004, HD vs. staff: p = 0.027). Among hemodialysis patients, type of vaccine (Comirnaty N = 11, Vaxzevria N = 12, 2 responders each) did not appear to influence antibody levels (IgG spike: Comirnaty median 0.0 [1.-3. quartile 0.0-3.8] versus Vaxzevria 4.3 [1.6-20.1] AU/mL, p = 0.079). Of responders to the first dose of SARS-CoV-2 vaccination among hemodialysis patients (N = 4/23), median IgG spike levels and ACE2-receptor-binding-inhibition capacity were lower than that of IgG spike-positive hemodialysis patients with prior COVID-19 infection (13/18, 72.2%): IgG spike: median 222.0, 1.-3. quartile 104.1-721.9 versus median 3794.6, 1.-3. quartile 793.4-9357.9 AU/mL, p = 0.015; ACE2-receptor-binding-inhibition capacity: median 11.5%, 1.-3. quartile 5.0-27.3 versus median 74.8%, 1.-3. quartile 44.9-98.1, p = 0.002.

CONCLUSIONS

Two weeks after their first mRNA- or vector-based SARS-CoV-2 vaccination, hemodialysis patients demonstrated lower antibody-related response than peritoneal dialysis patients and healthy staff or unvaccinated hemodialysis patients following prior COVID-19 infection.

Renal involvement in COVID-19: focus on kidney transplant sector

INTRODUCTION

Kidney transplant recipients and patients on the waiting list for kidney transplant who acquire SARS-CoV-2 infection are at serious risk of developing severe COVID-19, with an increased risk of mortality for the their immunosuppressive state; other risk factors for mortality have been identified in some comorbidities such as obesity, diabetes, asthma and chronic lung disease.

MATERIALS AND METHODS

The COVID-19 pandemic has led to a sharp reduction in kidney transplants in most countries, mainly due to the concern of patients on the waiting list for their potential increased susceptibility to acquire SARS-CoV-2 infection in healthcare facilities and for the difficulties of transplant centers to ensure full activity as hospitals have had to focus most of their attention on COVID-19 patients. Indeed, while the infection curve continued its exponential rise, there was a vertical decline in kidney donation/transplant activity.

CONCLUSION

This review article focuses on the damage induced by SARS-CoV-2 infection on kidney and on the adverse effect of this pandemic on the entire kidney transplant sector.