Literature DB >> 35198156

Increased 1-year mortality in haemodialysis patients with COVID-19: a prospective, observational study.

Sol Carriazo1, Sebastian Mas-Fontao2, Clara Seghers1, Jaime Cano1, Elena Goma1, Alejandro Avello1, Alberto Ortiz1, Emilio Gonzalez-Parra1.   

Abstract

BACKGROUND: Dialysis confers the highest risk of coronavirus disease 2019 (COVID-19) death among comorbidities predisposing to severe COVID-19. However, reports of COVID-19-associated mortality frequently refer to mortality during the initial hospitalization or first month after diagnosis.
METHODS: In a prospective, observational study, we analysed the long-term (1-year follow-up) serological and clinical outcomes of 56 haemodialysis (HD) patients who were infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the first pandemic wave. COVID-19 was diagnosed by a positive polymerase chain reaction (PCR) test (n = 37) or by the development of anti-SARS-CoV-2 antibodies (n = 19).
RESULTS: After >1 year of follow-up, 35.7% of HD patients infected by SARS-CoV-2 during the first pandemic wave had died, 6 (11%) during the initial admission and 14 (25%) in the following months, mainly within the first 3 months after diagnosis. Overall, 30% of patients died from vascular causes and 40% from respiratory causes. In adjusted analysis, a positive SARS-CoV-2 PCR test for diagnosis {hazard ratio [HR] 5.18 [interquartile range (IQR) 1.30-20.65], P = 0.020}, higher baseline C-reactive protein levels [HR 1.10 (IQR 1.03-1.16), P = 0.002] and lower haemoglobin levels [HR 0.62 (IQR 0.45-0.86), P = 0.005] were associated with higher 1-year mortality. Mortality in the 144 patients who did not have COVID-19 was 21 (14.6%) over 12 months [HR of death for COVID-19 patients 3.00 (IQR 1.62-5.53), log-rank P = 0.00023]. Over the first year, the percentage of patients having anti-SARS-CoV-2 immunoglobulin G (IgG) decreased from 36/49 (73.4%) initially to 27/44 (61.3%) at 6 months and 14/36 (38.8%) at 12 months.
CONCLUSIONS: The high mortality of HD patients with COVID-19 is not limited to the initial hospitalization. Defining COVID-19 deaths as those occurring within 3 months of a COVID-19 diagnosis may better represent the burden of COVID-19. In HD patients, the anti-SARS-CoV-2 IgG response was suboptimal and short-lived.
© The Author(s) 2021. Published by Oxford University Press on behalf of the ERA.

Entities:  

Keywords:  COVID-19; anti-SARS-CoV-2 antibodies; chronic kidney disease; haemodialysis; mortality; outcomes

Year:  2021        PMID: 35198156      PMCID: PMC8755355          DOI: 10.1093/ckj/sfab248

Source DB:  PubMed          Journal:  Clin Kidney J        ISSN: 2048-8505


INTRODUCTION

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) [1]. As of September 2021, COVID-19 has caused >4 million deaths worldwide (https://covid19.who.int/; accessed 30 September 2021). Risk factors for severe or fatal COVID-19 include age, male sex, non-European ancestry, obesity, diabetes mellitus, immunosuppression and cardiovascular disease [2]. However, persons with chronic kidney disease (CKD) represent the largest global population at high risk of severe COVID-19 [3, 4]. Furthermore, dialysis patients have the highest risk of COVID-19 death among comorbidities predisposing to COVID-19. In an English study including >17 million persons, transplant recipients and dialysis patients had the highest risk of COVID-19 death among comorbidities predisposing to COVID-19 and CKD category G4 was among the top 5 conditions conferring this highest risk of COVID-19-related death [3, 4]. A meta-analysis that included 3 867 367 patients from 12 studies reported that the mortality rate was higher among CKD patients with COVID-19 infection than among CKD patients without COVID-19 infection {odds ratio [OR] 5.81 [95% confidence interval (CI) 3.78–8.94, P < 0.00 001, I2 = 30%} [5]. Reasons associated with this increased risk are not completely elucidated. Kidney failure is considered an immunosuppressed state characterized by altered innate and adaptative immunity [6, 7]. The combination of a systemic pro-inflammatory state [8], impaired immune response and high cardiovascular risk [9] might contribute to this increased risk of severe COVID-19. Reports of COVID-19-associated mortality frequently refer to mortality during the initial hospitalization or 28 days after diagnosis [10-12]. We previously reported an overall mortality rate of 10% in haemodialysis (HD) patients with COVID-19 during hospitalization in the first pandemic wave starting in March 2020 [13]. We further reported that 17% of SARS-CoV-2 PCR-positive HD patients failed to develop detectable antibodies against SARS-CoV-2 by 3 months of infection [14]. We have now analysed the long-term (1 year of follow-up) serological and clinical outcomes of HD patients who were infected by SARS-CoV-2 during the first pandemic wave and survived hospitalization or the initial COVID-19 episode and present data on overall 12-month mortality from the diagnosis of COVID-19.

MATERIALS AND METHODS

In a previous retrospective observational study [13] we reported on COVID-19 in patients from two HD units in Madrid, Spain, the Hospital Universitario Fundación Jiménez Díaz (UHFJD) HD unit and its associated centre Fundación Renal Centro Santa Engracia (FRCSE) that coordinate for patient care. Patients are dialysed at the hospital-based UHFJD HD unit when they have higher comorbidity or present intercurrent health issues. The present report relates to a prospective observational study of chronic HD patients diagnosed with COVID-19 during the first wave starting in March 2020 and up to May 2020 and followed for 1 year. At the start of the pandemic in Madrid, both centres had a total combined number of 200 adult patients on HD (58 in UHFJD and 142 in FRCSE). FRCSE patients with a diagnosis of COVID-19 were transferred to the UHFJD. The study was approved by the IIS-Fundación Jiménez Díaz Ethics Committee (PIOH036-20_FJD, 27 April 2020) and was performed in accordance with the Declaration of Helsinki and the European Union Clinical Trial Directive. Patients enrolled provided written informed consent.

COVID-19 diagnosis

Between March and May 2020, 56 HD patients were confirmed to have SARS-CoV-2 infection through SARS-CoV-2 quantitative reverse transcription polymerase chain reaction (PCR) (n = 37) or anti-SARS-CoV-2 antibody testing (n = 19) (Figure 1). The PCR test for SARS-CoV-2 consists of a nucleic acid extraction from nasopharyngeal swab samples and subsequent amplification by reverse transcription and PCR of the ORF1ab and N genes (VIASURE SARS-COV-2 RT-PCR, Certest, San Mateo de Gállego, Spain). Anti-SARS-CoV-2 immunoglobulin M (IgM) and IgG tests were performed according to FJD laboratory standards of the moment: In March and April, the antibody test used was Enzyme linked immunoassay-Chemiluminescence linked immunassay against spike (S) and nucleocapsid (N) antigens (VIRCELL, Granada, Spain). IgG positivity was set at >0.4 UA. Sensitivity and specificity were 82–88% (7 days after PCR positive) and 98.8% for IgM and 100% (19 days after PCR positive) and 98% for IgG. After May 2020, the test used was VITROS XT 7600 (Ortho), IgG against spike (S) protein. IgG positivity was set at >1.4 UA (sensitivity 90%, specificity 100%).
FIGURE 1:

Flow chart of HD patients diagnosed with SARS-CoV-2 infection between March and May 2020.

Flow chart of HD patients diagnosed with SARS-CoV-2 infection between March and May 2020. Additional laboratory tests at baseline included haemoglobin (Hb), interleukin-6 (IL-6), ferritin, C-reactive protein (CRP) and D-dimer levels and lymphocyte count. Furthermore, the weekly doses of erythropoiesis-stimulating agents (ESAs) and erythropoietin resistance index (ERI) were also included in the analysis. ERI was calculated by dividing the weekly body weight–adjusted epoetin dose by the Hb concentration.

Initial treatment

SARS-CoV-2 PCR-positive patients underwent HD in a separate isolation room. Patients were hospitalized in the presence of pneumonia, oxygen saturation <94% or hypoxaemia evidenced in arterial blood and/or significant deterioration in general condition. Initial treatment for hospitalized patients and outpatients was administered according to the local protocol. In March 2020, this included hydroxychloroquine (200 mg/12 h for 5 days) and antibiotics (doxycycline 100 mg/12 h for 5 days or levofloxacin 250 mg/48 h for 5 days). In case of acute respiratory insufficiency and inflammatory signs, such as marked elevation of ferritin and CRP, glucocorticoids were added (methylprednisolone 250 mg/day for 3 days, followed by oral prednisone 40 mg/12h for 3–4 days). For those with analytical data of procoagulant status, i.e. D-dimer elevation or with markers of acute myocardial damage, prophylactic tinzaparin (3500 IU/day) was prescribed. However, the initial protocols did not include prophylactic heparin, which was eventually incorporated for 7 days for outpatients with respiratory infection with or without pneumonia, as well as patients with non-complicated disease with risk factors (previous history of venous thromboembolic disease, thrombophilia, active oncologic disease, recent surgery within the last 3 months, hormonal treatment, pregnancy and puerperium). For patients with bilateral pneumonia and/or oxygen saturation <94%, lopinavir–ritonavir (Kaletra 400 mg/12 h for 5 days) was added and patients with more severe COVID-19 could also receive tocilizumab 400 mg (maximum 2 doses in 48 h). The most severe cases were admitted to the intensive care unit (ICU). Severe cases were defined according to the protocol as partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) <150 mmHg or sepsis or septic shock at the emergency room or the need for >40% FiO2 of supplemental oxygen for maintaining an O2 saturation >92%.

Follow-up

A total of 56 HD patients with a COVID-19 diagnosis during the first wave (March–May 2020) were prospectively followed and anti-SARS-CoV-2 IgG antibodies were evaluated at 3, 6, 9 and 12 months. The primary clinical endpoint was all-cause death. Deaths were separated into those occurring during the first hospitalization and those occurring later. As a sensitivity analysis, early deaths were defined as those that occurred within the first 30 days after diagnosis of COVID-19. The secondary endpoint was a composite of hospitalization from any cause and events requiring therapeutic intervention even if there was no hospitalization. During the follow-up period, Spain suffered successive COVID-19 waves (Supplementary data, Figure S1). Thus re-infection was theoretically possible. At the end of follow-up, 9 of 36 survivors had been vaccinated from January 2021 onwards, starting with the elderly. HD patients not yet vaccinated because of age were vaccinated between April and May 2021. The type of vaccine administered was decided by health authorities according to Spanish health authorities’ guidelines (messenger RNA vaccine) and availability by regional health authorities: all nine patients received BNT162b2 (Pfizer-BioNTech).

Statistical analysis

Data are presented as medians and interquartile ranges (IQRs) except when otherwise specified. The normality of the data was assessed using the Kolmogorov–Smirnov test. Then the Mann–Whitney U test or the Kruskal–Wallis rank test was employed for binary and multiple comparisons, respectively. Time to death among patients with COVID-19 diagnosis was explored with a log-rank test of Kaplan–Meier curves and HR. Contingency tables and Fisher’s exact test were performed to compare mortality between COVID-19-diagnosed patients and non-COVID-19 among HD patients. R version 4 (https://cran.r-project.org/) was used for statistical analysis and two-tailed P-values <0.05 were considered statistically significant. Libraries ggplot2, Jmv, finalfit, easyalluvial, vtree, tangram, car, afex and survival were employed for graphics and analysis. The association of risk factors with time to death was assessed in univariate analysis and parameters with P < 0.1 in univariate analysis were included in multivariate Cox proportional hazards regression models.

RESULTS

Study population

Overall, the 200 HD patients had a median age of 67.5 years (IQR 55.4–77.0) and 70.5% were male and had a dialysis vintage of 30.4 months (IQR 14.7–73.8). The two most common comorbidities were hypertension and diabetes (93% and 38%, respectively). There were no differences in age, gender, comorbidities or dialysis vintage among patients with or without COVID-19. A total of 56 of 200 (28%) HD patients were diagnosed with COVID-19 during the first pandemic wave (March 2020–May 2020): 37 of 56 (66.1%) based on positive PCR and 19 of 56 (33.9%) based on anti-SARS-CoV-2 antibodies (Figure 1). Clinical characteristics are shown in Table 1. The median age was 72 year; a majority (64%) were male and comorbidities were common. Dialysis vintage was 36 months. Of COVID-19 patients, 29 of 56 (52%) required hospital admission for the COVID-19 episode (Figure 2).
Table 1.

Characteristics of patients with confirmed COVID-19 by positive PCR or serology

CharacteristicsCOVID-19 (n = 56)Death (n = 20)Survival (n = 36)P-value
Age (years), median (IQR)72.50 (57.4–80.6)76.5 (70–82.2)64.5 (54.0–78.7)0.041
Male, n (%)36 (64)13 (65)23 (64)0.93
Smoker, n (%)23 (41)9 (45)14 (39)0.99
Comorbidities, n (%)
 Hypertension50 (89)18 (90)32 (89)0.99
 Diabetes21 (38)7 (35)14 (39)0.77
 Ischaemic heart disease20 (36)7 (35)13 (36)0.93
 History of immunosuppression14 (25)5 (25)9 (25)0.99
 Overweight/obesity13 (23)3 (15)10 (28)0.99
 Chronic heart failure12 (21)5 (25)7 (19)0.74
 Cancer10 (18)5 (25)5 (14)0.99
 Autoimmune disease9 (16)3 (15)6 (17)0.99
 COPD/asthma8 (14)4 (20)4 (11)0.99
 Peripheral arterial disease8 (14)0 (0)8 (22)0.041
 Immunocompromised7 (12)2 (10)5 (14)0.99
 Cirrhosis2 (3.6)1 (5.0)1 (2.8)0.99
 HIV1 (1.8)0 (0)1 (2.8)0.99
Cause of CKD, n (%)0.422
 Unknown aetiology15 (27)6 (30)9 (25)
 Diabetic nephropathy13 (24)2 (10)11 (31)
 Glomerular disease12 (22)4 (20)8 (22)
 ADPKD4 (7.1)1 (5.0)3 (8.3)
 Other12 (22)7 (35)5 (14)
Dialysis vintage (months), median (IQR)33.5 (17–75.2)25.5 (12.4–85.1)43.5 (22.0–75.2)0.20
Diagnostic criteria for COVID-19, n (%)
 PCR37 (66)17 (85)20 (56)0.025
 Anti-SARS-CoV-2 positive19 (34)3 (15)16 (44)
 IgM positive8 (14)1 (5.0)7 (19)
 IgG2 (3.5)1 (5.0)1 (2.7)
 IgM + IgG9 (16)1 (5.0)8 (22)
Symptoms, n (%)
 Asymptomatic15 (27)7 (35)8 (22)0.14
 Asthenia5 (8.9)1 (5.0)4 (11)
 Fever16 (29)3 (15)13 (36)
 Respiratory10 (18)6 (30)5 (14)
 Cardiovascular2 (3.5)1 (5.0)1 (2.7)
 Gastrointestinal8 (14)3 (15)5 (14)
Chest X-ray, n/N (%)
 Normal22/52 (42)8/20 (40)14/32 (44)
 Unilateral pneumonia10/52 (19)5/20 (25)6/32 (19)
 Bilateral pneumonia19/52 (37)6/20 (30)12/32 (38)
Analytical values, median (IQR)
 Hb (g/dL)11.1 (10.1–12.3)10.3 (9.1–11.4)11.5 (10.4–12.6)0.013
 Lymphocytes (/µL) 900.0 (600.0–1200.0)850.0 (641.7–1000.0)900.0 (541.7–1258.0)0.813
 IL-6 (pg/mL)15.4 (5.1–42.7)20.5 (9.2–71.3)12.1 (3.3–27.2)0.083
 Ferritin (ng/mL)872.0 (406.2–1377.1)20.5 (9.2–71.3)12.1 (3.3–27.2)0.083
 CRP (mg/dL)1.6 (0.5–7.6)5.7 (2.4–17.1)1.3 (0.2–3.7)<0.013
 D-dimer (µg/L)1442.0 (740.2–2056.0)1533.5 (914.5–3001.6)1345.0 (652.7–1976.2)0.303
 EPO dose (units/week)9500.0 (3000.0–18 000.0)8000.0 (4416.7–22 333.3)11 000.0 (2805.6–18 000.0)0.523
 ERI (UI/kg/week/Hb)11.7 (3.9–25.3)13.9 (3.6–25.2)10.4 (4.9–31.1)0.76

ADPKD, autosomal dominant polycystic kidney disease; COPD, chronic obstructive pulmonary disease; EPO, erythropoietin.

FIGURE 2:

The 1-year outcomes of HD patients diagnosed with COVID-19 between March and May 2020. Some patients had more than one complication. Among causes of death and events, red is used to denote vascular causes.

The 1-year outcomes of HD patients diagnosed with COVID-19 between March and May 2020. Some patients had more than one complication. Among causes of death and events, red is used to denote vascular causes. Characteristics of patients with confirmed COVID-19 by positive PCR or serology ADPKD, autosomal dominant polycystic kidney disease; COPD, chronic obstructive pulmonary disease; EPO, erythropoietin.

1-year outcomes

The 12-month mortality between March 2020 and May 2021 was 35.7% (20 of 56 patients with COVID-19) (Figure 2): 6 of 56 (11%) died during the initial admission from respiratory failure, as previously reported [13], and 14 of 56 (25%) died in the following months. Of these 14 patients, 6 died from vascular causes and 2 from respiratory causes. Thus 6 of 20 (30%) deaths in COVID-19 HD patients occurred early in the course of the disease and 14 of 20 (70%) occurred later on, but mainly within 3 months of the diagnosis (Figure 3). Overall, 8 of 20 (40%) deaths were caused by respiratory failure and 6 of 20 (30%) by vascular causes. As a sensitivity analysis, early deaths were defined as those occurring within the first 30 days. This sensitivity analysis did not change the results, since one patient died after 37 days of hospitalization from respiratory failure and another patient died from respiratory failure within 30 days of diagnosis after having been discharged.
FIGURE 3:

Kaplan–Meier survival curves of HD patients diagnosed with SARS-CoV-2 infection between March and May 2020 as compared with those not infected.

Kaplan–Meier survival curves of HD patients diagnosed with SARS-CoV-2 infection between March and May 2020 as compared with those not infected. The 12-month mortality for non-COVID-19 HD patients was 21 of 144 (14.6%), which is in line with secular mortality trends both at our unit and within Spain [15] (Figure 3). The 12-month mortality was significantly higher for COVID-19 than for non-COVID-19 patients (P ≤ 0.001) and the HR for mortality in COVID-19 patients was 3.00 (95% CI 1.62–5.53; P < 0.001). While deaths in non-COVID-19 patients were distributed over the 12 months of follow-up, deaths among COVID-19 patients were concentrated into two distinct waves within the first 3 months after a COVID-19 diagnosis and thereafter ran parallel to those in non-COVID-19 patients. COVID-19 patients who died were older than those who survived [76.5 years (IQR 70–82.2) versus 64.5 (54.0–78.7), respectively; P = 0.041] and more frequently had a positive PCR test as a diagnostic criterion for COVID-19 (Table 1). Interestingly, up to 35–40% of COVID-19 patients who died were initially asymptomatic or had a normal chest X-ray at baseline. There were no differences between the baseline clinical characteristics of COVID-19 patients who died during the initial COVID-19 hospitalization and those who died later. Fourteen of the 36 (38.9%) survivors suffered at least one additional event during the 12-month follow-up. Some patients had more than one event. Overall, there were eight non-bleeding cardiovascular events, four bleeding events and two respiratory events (Figure 2). We detected one reinfection during the follow-up period. Risk factors for mortality at 1 year in multivariate analysis included having a positive SARS-CoV-2 PCR as a diagnostic criterion [HR 5.18 (95% CI 1.30–20.65), P = 0.020], higher baseline CRP levels [HR 1.10 (95% CI 1.03–1.16), P = 0.002] and lower baseline Hb levels [HR 0.62 (95% CI 0.45–0.86), P = 0.005] (Table 2). We did not find differences in lymphocyte counts, ESA weekly doses, ERI, IL-6, D-dimer or treatments between those who died and those who survived (Table 1).
Table 2.

Adjusted HRs (univariate and multivariate) of variables associated with 1-year mortality

UnivariableMultivariable
VariableHR (95% CI)P-valueHR (95% CI)P-value
Age1.04 (1.00–1.07)0.0281.02 (0.98–1.06)0.252
Positive PCR3.02 (0.88–10.39)0.0795.18 (1.30–20.65)0.020
Haemoglobin (g/dL)0.66 (0.49–0.90)0.0080.62 (0.45–0.86)0.005
CRP (mg/dL)1.07 (1.02–1.12)0.0031.10 (1.03–1.16)0.002
Adjusted HRs (univariate and multivariate) of variables associated with 1-year mortality As deaths during the first 3 months were higher than in non-COVID-19 controls, we also evaluated the risk factors associated with mortality in this period. Like the 1-year analysis, PCR status, higher CRP levels and lower Hb levels were associated with higher mortality at 3 months [HR 9.11 (95% CI 1.53–54.28), P = 0.015; HR 1.09 (95% CI 1.04–1.14), P < 0.001 and HR 0.67 (95% CI 0.47–0.95), P = 0.025, respectively] (Table 3).
Table 3.

Adjusted HRs (univariate and multivariate) of variables associated with 3-month mortality

UnivariableMultivariable
VariablesHR (95% CI)P-valueHR (95% CI)P-value
Age1.04 (1.00–1.08)0.0631.02 (0.97–1.07)0.443
Positive PCR3.31 (0.74–14.82)0.1179.11 (1.53–54.28)0.015
Haemoglobin (g/dL)0.67 (0.47–0.95)0.0250.61 (0.41–0.90)0.013
CRP (mg/dL)1.09 (1.04–1.14)<0.0011.14 (1.06–1.22)<0.001
Adjusted HRs (univariate and multivariate) of variables associated with 3-month mortality

Anti-SARS-CoV-2 IgG over 12 months

Over the first year, the percentage of patients who had anti-SARS-CoV-2 IgG decreased progressively: from 36 of 49 (73.4%) initially to 28 of 46 (60.8%) and 27 of 44 (61.3%) at 3 and 6 months, respectively, and 14 of 36 (38.8%) at 12 months (Figure 4). Among survivors, only 30.6% of patients showed the continuous presence of anti-SARS-CoV-2 IgG from the initial assessment and up to 12 months (Figures 4 and 5). The largest decrease in anti-SARS-CoV-2 IgG positivity occurred between 6 and 12 months, while additional patients lost anti-SARS-CoV-2 IgG between baseline and 3 months. A few patients became negative and then became positive again during follow-up (Figure 4). This occurred in 3 of 36 (8%) patients (one of them had been vaccinated and also experienced reinfection; the second patient had been vaccinated before the end of the follow-up period and the third had not been vaccinated—whether this patient had experienced reinfection is unclear). In total, 9 of 32 patients were vaccinated before the end of the follow-up period: the two just described, four who were positive throughout the follow-up and three who never showed positive antibodies, even after vaccination.
FIGURE 4:

Percentage of HD COVID-19 patients with detectable IgG anti-SARS-CoV-2 antibodies during 1 year of follow-up.

FIGURE 5:

IgG anti-SARS-CoV-2 antibodies over 1 year of follow-up. (A) IgG anti-SARS-CoV-2 antibody trajectories. Y: positive IgG anti-SARS-CoV-2 antibodies; N: negative IgG anti-SARS-CoV-2 antibodies; exitus: patients who had died by this time point. (B) Percentage of patients with the different IgG anti-SARS-CoV-2 antibody trajectories during 1 year of follow-up. Percentage calculated for a total of 36 patients with assessments at all the different time points.

Percentage of HD COVID-19 patients with detectable IgG anti-SARS-CoV-2 antibodies during 1 year of follow-up. IgG anti-SARS-CoV-2 antibodies over 1 year of follow-up. (A) IgG anti-SARS-CoV-2 antibody trajectories. Y: positive IgG anti-SARS-CoV-2 antibodies; N: negative IgG anti-SARS-CoV-2 antibodies; exitus: patients who had died by this time point. (B) Percentage of patients with the different IgG anti-SARS-CoV-2 antibody trajectories during 1 year of follow-up. Percentage calculated for a total of 36 patients with assessments at all the different time points.

DISCUSSION

The present study has several main findings that may impact the care of HD patients with COVID-19. First, the 1-year mortality of HD patients with COVID-19 was high and a majority of the deaths (70%) occurred after discharge, especially within the first 3 months. Thus careful monitoring is required in the early post-COVID-19 period and prophylactic measures should be studied. Second, not all patients developed detectable IgG anti-SARS-CoV-2 antibodies and only 39% maintained positive antibodies 12 months after initial infection. Thus the mid- and long-term impact of vaccines on antibody development should be monitored to develop guidance as to the use of booster doses in HD patients. Third, a PCR-based diagnosis, lower baseline Hb levels and higher CRP levels were associated with higher 3-month and 1-year mortality. In a large (17 million participants) study in England, patients on dialysis had the highest risk of death from COVID-19 in an adjusted analysis [16]. However, mortality reported in HD patients with COVID-19 has been highly variable and may have been influenced by criteria to diagnose COVID-19 (whether all patients in the unit were tested or only those that required hospitalization), by the availability of healthcare resources (some centres became overwhelmed and could not offer ICU care for all), comorbidities or other factors [17, 18]. In Madrid, mortality rates during the acute episode (defined as during hospitalization or within 28 days after diagnosis) in HD patients were 16.2% [19] to 30.5% [20]. In our unit, mortality during the initial admission was 11%. However, an unexpectedly high number of deaths was observed over 1 year of follow-up, as 36% of COVID-19 HD patients died. This was higher than the historical annual mortality at our centre of 9.2% per year [21] and higher than the mortality of HD patients in Spain, which has been relatively stable (ranging from 14.1% to 16.8%) from 2007 to 2019 [15]. Above all, the overall 12-month mortality in COVID-19 patients was higher than the mortality of HD patients not diagnosed with COVID-19 in our unit. This population represents the most appropriate controls, as they were exposed to the same pandemic-associated restrictions and potential limitations in access to healthcare. Although higher mortality would be expected for a potentially lethal condition, the higher mortality was observed for up to 3 months after diagnosis, illustrating a persistently high mortality risk. Only after this point did the mortality in COVID-19 patients run in parallel with that in non-COVID-19 patients. COVID-19 can have long-term consequences [22, 23]. The most visible manifestations are symptoms such as asthenia or brain fog. However, in HD patients this may also include an increased mortality rate. The most frequent non-lethal and lethal episodes were related to ischaemia or bleeding. In this regard, persistently dysregulated haemostasis has been observed following acute COVID-19 and delayed catastrophic thrombotic events have been reported in young and asymptomatic post-COVID-19 patients [24, 25]. COVID-19 may also lead to long-lasting alterations of the heart, lungs and other organs [26]. The second observation refers to the long-term natural history of anti-SARS-CoV-2 antibodies in HD patients with COVID-19. In previously healthy people, most individuals with mild—moderate COVID-19 experienced robust IgG antibody responses against the viral spike protein. Titres are relatively stable for a period of about 5 months [27, 28] and could last for 10 months and support protective immunity in the recovered patients [29]. However, HD patients have suboptimal immune responses, a higher risk of death from infectious diseases and suboptimal responses to vaccines such as anti-hepatitis B virus [30]. In a recent multicentre study in HD patients, anti-SARS-CoV-2 IgG remained positive after 4 weeks in 90% of patients with symptomatic COVID-19 and in 52.5% of asymptomatic patients [31]. A single study to date has studied the immune response to COVID-19 in HD patients in the first 6 months post-infection and results were aligned with our longer study [32]: anti-SARS-CoV-2 nucleocapsid IgG developed in 89% of patients and 70% remained positive at 6 months, similar to the 61% positivity rate in our study at 6 months. We now expand these observations by describing a dramatic decrease in anti-SARS-CoV-2 at 12 months to 39%. Interestingly, some patients who lost anti-SARS-CoV-2 antibodies became positive later on. In this regard, successive waves of COVID-19 have been present in Spain continuously since the end of August 2020 and COVID-19 was diagnosed in one of three patients who showed positive anti-SARS-CoV-2 IgG at the end of follow-up but who had presented previous negative anti-SARS-CoV-2 IgG tests. A second patient became anti-SARS-CoV-2 IgG positive after the vaccination. Whether the third patient had an asymptomatic reinfection remains unclear, because this patient had not been vaccinated. The rapid loss of anti-SARS-CoV-2 antibodies is a cause of concern regarding the intensity and duration of the response to vaccination. Multiple studies are currently ongoing to define the immune response to SARS-CoV-2 vaccine in HD and the optimal vaccination schedule. Patients with kidney failure have significantly weaker antibody responses than controls [33, 34]. Factors associated with 3-month and 1-year mortality included low Hb and high CRP levels. Anaemia has also been associated with mortality in non-HD patients with COVID-19 [35-38]. In a prospective study, the presence of Hb <13 g/dL in hospitalized males and <12 g/dL in females with COVID-19 was associated with mortality [OR 1.68 (95% CI 1.10–2.57), P = 0.01], ventilator requirement [OR 1.74 (95% CI 1.19–2.54), P = 0.004] and risk of ICU admission [OR 2.06 (95% CI 1.46–2.90), P < 0.001] [35]. The association between anaemia and inflammation is well recognized [39]. In anaemic patients, low Hb levels may further impair tissue oxygenation [37], especially in patients with respiratory compromise [36]. HD patients have a high prevalence of anaemia, related to both erythropoietin deficiency and erythropoietin resistance caused by inflammation, iron deficiency and others [40]. Resistance to ESAs and the associated requirement for higher ESA doses have been associated with mortality in HD patients [41, 42]. Although we did not find an association between ERI and mortality, the study size was too small to draw definite conclusions. Some limitations should be acknowledged. This was a single-centre study with a limited number of patients. Thus, the results should be confirmed in larger cohorts, such as national or international registries. However, our study provides some guidance for larger-scale analysis, as post-COVID-19 mortality should be followed and analysed for up to 1 year, comparing with mortality in non-COVID-19 patients. Additionally, HD patients in whom COVID-19 was diagnosed may have had pre-existing conditions, from medical to social, that predisposed to COVID-19 in the first place. In-depth analysis of confounders may also be performed in larger, multinational cohorts. In conclusion, 1-year mortality in HD patients with COVID-19 was high and most deaths occurred after being discharged from the initial episode. Deaths among COVID-19 patients were concentrated into two distinct waves within the first 3 months after a COVID-19 diagnosis. Factors associated with mortality included low Hb levels and CRP levels at baseline and a diagnosis based on PCR rather than on serology. These data point to optimized anaemia management as a potential line of research to decrease COVID-19 mortality. In this regard, potentially preventable causes (ischaemia and bleeding) were the most common causes of death. The time course of the increased risk of death in dialysis patients with COVID-19 should be explored in larger databases and, if confirmed, preventive strategies should be developed. Therefore an increased risk of death should be considered part of the post-COVID-19 or long COVID-19 spectrum in dialysis patients. It was worrisome that the high percentage of dialysis patients did not have detectable anti-SARS-CoV-2 antibodies by 12 months after the episode. The duration of the immunological response to SARS-CoV-2 vaccine should be closely monitored in HD patients. Click here for additional data file.
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Review 1.  Mechanisms of anemia in CKD.

Authors:  Jodie L Babitt; Herbert Y Lin
Journal:  J Am Soc Nephrol       Date:  2012-08-30       Impact factor: 10.121

2.  Impaired phagocytosis in dialysis patients: studies on mechanisms.

Authors:  J M Alexiewicz; M Smogorzewski; G Z Fadda; S G Massry
Journal:  Am J Nephrol       Date:  1991       Impact factor: 3.754

3.  Erythropoiesis-Stimulating Agent Treatment in Patients With COVID-19.

Authors:  Steven Fishbane; Jamie S Hirsch
Journal:  Am J Kidney Dis       Date:  2020-05-29       Impact factor: 8.860

4.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

5.  Association of anemia and COVID-19 in hospitalized patients.

Authors:  Chong Chen; Wenhui Zhou; Wenliang Fan; Xianying Ning; Shuai Yang; Ziqiao Lei; Chuansheng Zheng
Journal:  Future Virol       Date:  2021-07-08       Impact factor: 1.831

6.  Kidney disease and electrolytes in COVID-19: more than meets the eye.

Authors:  Sol Carriazo; Mehmet Kanbay; Alberto Ortiz
Journal:  Clin Kidney J       Date:  2020-07-16

7.  Orthogonal SARS-CoV-2 Serological Assays Enable Surveillance of Low-Prevalence Communities and Reveal Durable Humoral Immunity.

Authors:  Tyler J Ripperger; Jennifer L Uhrlaub; Makiko Watanabe; Rachel Wong; Yvonne Castaneda; Hannah A Pizzato; Mallory R Thompson; Christine Bradshaw; Craig C Weinkauf; Christian Bime; Heidi L Erickson; Kenneth Knox; Billie Bixby; Sairam Parthasarathy; Sachin Chaudhary; Bhupinder Natt; Elaine Cristan; Tammer El Aini; Franz Rischard; Janet Campion; Madhav Chopra; Michael Insel; Afshin Sam; James L Knepler; Andrew P Capaldi; Catherine M Spier; Michael D Dake; Taylor Edwards; Matthew E Kaplan; Serena Jain Scott; Cameron Hypes; Jarrod Mosier; David T Harris; Bonnie J LaFleur; Ryan Sprissler; Janko Nikolich-Žugich; Deepta Bhattacharya
Journal:  Immunity       Date:  2020-10-14       Impact factor: 31.745

8.  Robust neutralizing antibodies to SARS-CoV-2 infection persist for months.

Authors:  Ania Wajnberg; Fatima Amanat; Adolfo Firpo; Deena R Altman; Mark J Bailey; Mayce Mansour; Meagan McMahon; Philip Meade; Damodara Rao Mendu; Kimberly Muellers; Daniel Stadlbauer; Kimberly Stone; Shirin Strohmeier; Viviana Simon; Judith Aberg; David L Reich; Florian Krammer; Carlos Cordon-Cardo
Journal:  Science       Date:  2020-10-28       Impact factor: 47.728

9.  Delayed catastrophic thrombotic events in young and asymptomatic post COVID-19 patients.

Authors:  Bingwen Eugene Fan; Thirugnanam Umapathi; Karen Chua; Yew Woon Chia; Shiun Woei Wong; Glenn Wei Leong Tan; Sadhana Chandrasekar; Ying Hui Lum; Shawn Vasoo; Rinkoo Dalan
Journal:  J Thromb Thrombolysis       Date:  2020-11-07       Impact factor: 2.300

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  7 in total

1.  Presentation and Outcomes of Patients With End-Stage Kidney Disease Hospitalized With COVID-19 at a Tertiary Center in Riyadh, Kingdom of Saudi Arabia.

Authors:  Mohammed Tawhari; Eythar Alrushid; Ghadah Alquwaiee; Shuq Alanazi; Joud Alkhudair; Abdulaziz Aldalaan; Shikah Alsuwaid; Aljawharah Alabdulkarim; Fawaz Tawhari; Khaled M Hattan; Ibrahim Tawhari; Mansoor Radwi
Journal:  Cureus       Date:  2022-03-28

Review 2.  Post-acute COVID-19 syndrome and kidney diseases: what do we know?

Authors:  Sidar Copur; Metehan Berkkan; Carlo Basile; Katherine Tuttle; Mehmet Kanbay
Journal:  J Nephrol       Date:  2022-03-16       Impact factor: 4.393

3.  Long-term cardio-vascular risk assessment in chronic kidney disease and kidney transplanted patients following SARS-COV-2 disease: protocol for multi-center observational match controlled trial.

Authors:  Laura Tapoi; Mugurel Apetrii; Gianina Dodi; Ionut Nistor; Luminita Voroneanu; Lucian Siriteanu; Mihai Onofriescu; Mehmet Kanbay; Adrian Covic
Journal:  BMC Nephrol       Date:  2022-05-06       Impact factor: 2.585

4.  SARS-CoV-2 infection in chronic kidney disease patients with pre-existing dialysis: description across different pandemic intervals and effect on disease course (mortality).

Authors:  Lisa Pilgram; Lukas Eberwein; Bjoern-Erik O Jensen; Carolin E M Jakob; Felix C Koehler; Martin Hower; Jan T Kielstein; Melanie Stecher; Bernd Hohenstein; Fabian Prasser; Timm Westhoff; Susana M Nunes de Miranda; Maria J G T Vehreschild; Julia Lanznaster; Sebastian Dolff
Journal:  Infection       Date:  2022-04-29       Impact factor: 7.455

5.  Efficacy of SARS-CoV-2 Vaccination in Dialysis Patients: Epidemiological Analysis and Evaluation of the Clinical Progress.

Authors:  Giovanni Mosconi; Michela Fantini; Matteo Righini; Marta Flachi; Simona Semprini; Lilio Hu; Francesca Chiappo; Barbara Veterani; Katia Ambri; Franca Ferrini; Catia Milanesi; Antonio Giudicissi; Gaetano La Manna; Angelo Rigotti; Andrea Buscaroli; Vittorio Sambri; Maria Cappuccilli
Journal:  J Clin Med       Date:  2022-08-12       Impact factor: 4.964

6.  Kidney replacement therapy patients with COVID-19 in the vaccine era: what do we need to know?

Authors:  Sezan Vehbi; Abdullah B Yildiz; Mehmet Kanbay
Journal:  Clin Kidney J       Date:  2022-05-02

7.  Phosphate and IL-10 concentration as predictors of long-covid in hemodialysis patients: A Brazilian study.

Authors:  Hugo L Corrêa; Lysleine A Deus; Thaís B Araújo; Andrea L Reis; Carlos E N Amorim; André B Gadelha; Rafael L Santos; Fernando S Honorato; Daisy Motta-Santos; Carmen Tzanno-Martins; Rodrigo V P Neves; Thiago S Rosa
Journal:  Front Immunol       Date:  2022-09-30       Impact factor: 8.786

  7 in total

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