Abstract
Background
Maintenance haemodialysis (MHD) patients have a high risk of initial mortality from coronavirus disease 2019 (COVID-19). However, long-term consequences of this disease in the MHD population are poorly described. We report the clinical presentation, outcome and long-term follow-up of MHD patients affected by COVID-19 in a multicentric cohort from the Paris, France area.
Methods
We conducted a retrospective analysis of clinical presentation and long-term follow-up of MHD patients affected by COVID-19 in 19 MHD centres in the Paris, France area.
Results
In this cohort of 248 patients with an initial mortality rate of 18%, age, comorbidities, dyspnoea and previous immunosuppressive treatment were associated with death at <30 days. Among the 203 surviving patients following the acute phase, long-term follow-up (median 180 days) was available for 189 (93%) patients. Major adverse events occurred in 30 (16%) patients during follow-up, including 12 deaths (6%) after a median of 78 days from onset of symptoms. Overall, cardiovascular events, infections and gastrointestinal bleeding were the main major adverse events. Post-COVID-19 cachexia was observed in 25/189 (13%) patients. Lower initial albuminaemia was significantly associated with this cachexia. No reinfection with severe acute respiratory syndrome coronavirus 2 was observed.
Conclusions
This work demonstrates the long-term consequences of COVID-19 in MHD patients, highlighting both initial and long-term severity of the disease, including severe cachexia.
Keywords: cachexia, COVID-19, haemodialysis, long-term follow-up, mortality, nutritional status, SARS-CoV-2
INTRODUCTION
A new type of coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in December 2019, causing coronavirus disease 2019 (COVID-19), which rapidly spread to a global public health emergency [1, 2]. Maintenance haemodialysis (MHD) patients have a high risk of initial mortality from the disease [3–6]. Additionally, COVID-19 is also associated with long-term deleterious symptoms in survivors [7]. This ‘long-COVID’ syndrome notably includes persistent dyspnoea, fatigue and muscle weakness, although the exact spectrum of this syndrome remains debated [7, 8]. The description of long-term follow-up in MHD patients who survived COVID-19 has not been reported to date.
In this study we report the clinical presentation, outcomes and long-term follow-up of a multicentre cohort of MHD patients presenting with COVID-19 between February and May 2020 in the Paris, France area.
MATERIALS AND METHODS
Population
All adult patients on MHD for >1 month and diagnosed with COVID-19 between 1 February and 1 May 2020 from 19 different centres (17 private practice and 2 academic) were included in this HD-CovIDF cohort. Overall, 1790 patients are managed in these facilities. COVID-19 diagnosis was made in presence of SARS-CoV-2 RNA detected by real-time reverse transcription polymerase chain reaction (RT-PCR) on nasopharyngeal swab specimens or imaging findings indicative of COVID-19.
Relevant clinical, laboratory and outcome data were retrospectively reported. Data were recorded at diagnosis when available or during follow-up. Management of patients [including renin–angiotensin system (RAS) blockade discontinuation or not] was performed according to the judgement of the treating physician. Previous immunosuppressive treatment included ongoing use of steroids, biotherapy and chemotherapies. The clinical outcomes were monitored up to 30 September 2020.
SARS-CoV-2 serologic assays were performed using the Abbot SARS-CoV-2 immunoglobulin G (IgG) assay [targeting the nucleocapsid (NC) antigen] using an Architect system and the Ortho Clinical Diagnostics Vitros IgG assay (targeting the spike antigen).
We defined post-COVID-19 cachexia by non-oedematous weight loss >10% at the last follow-up and/or extreme muscle weakness [9, 10]. Major adverse events included cardiovascular events (myocardial infarction, stroke, acute peripheral artery disease, pulmonary embolism or cardiac arrest) or severe infections needing hospitalization or prolonged antibiotherapy or other events requiring hospitalization. Severe forms of COVID-19 were defined according to the need for oxygen therapy.
Data collection was declared to the French Commission Nationale de l’Informatique et des Libertés (registration 2218583). This protocol was submitted for the approbation of the Paris Centre Institutional Review Board. Oral consent for this retrospective study was obtained from all patients or next of kin in case of death.
Statistical analysis
Categorical variables are presented as number (percentage) and quantitative variables as mean [standard deviation (SD)]. All statistical analyses were conducted using R software (R Foundation for Statistical Computing, Vienna, Austria). Univariate analyses were adjusted for multiple comparisons and conducted using robust tests accounting for rare events. Spearman rank correlation coefficients, Welch t-tests, White corrected one-way analysis of variance (ANOVA), chi-square and Fisher’s exact tests were used when appropriate, depending on the nature of the dependent and independent variables. The predictor for initial COVID-19 mortality and hospitalization was previously discussed [11]. Detailed statistical analyses are provided in Supplementary Methods.
RESULTS
Patient presentation and initial outcome
A total of 248 consecutive patients were included. A previous report described the initial evolution and treatment impact of these patients [12]. Given an overall population of 1790 patients managed in the 19 centres, the proportion of patients diagnosed with COVID-19 was 13.8%. Patients were mostly men [n = 165 (67%)], with a mean age of 67 ± 27 years and a mean MHD vintage of 5 ± 5 years. The most frequent comorbidities included hypertension [94% (n = 232)], diabetes [59% (n = 147)], history of coronary disease [30% (n = 74)] and cardiac failure [16% (n = 40)]. Of the 248 patients, COVID-19 was detected by real-time RT-PCR in 88% of cases (n = 196). The hospitalization rate was 58% (n = 145), after a mean of 3.5 ± 6 days after the first symptoms. The most frequent presenting features were fever [n = 152 (61%)], cough [n = 122 (49%)] and fatigue [n = 101 (40%)], with 29 patients being asymptomatic (11%).
The mean levels of haemoglobin, lymphocyte count and C-reactive protein were 10.7 ± 1.8 g/dL, 915 ± 1046 /mm3 and 92 ± 98 mg/L, respectively. Chest computed tomography (CT) was performed in 62% of cases (n = 153). Detailed patient characteristics are provided in Table 1.
Table 1.
Demographics, comorbidities and presentation of the HD-CovIDF cohort
| Characteristics | Overall | Hospitalized | Outpatients | Adjusted P-value |
|---|---|---|---|---|
| (N = 248) | [n = 145 (58%)] | [n = 103 (42%)] | ||
| Age (years), mean (SD) | 67 (27) | 69 (27) | 64 (25) | 0.04 |
| Sex (male), n (%) | 165 (67) | 98 (68) | 67 (65) | 0.9 |
| Duration of HD (years), mean (SD) | 5 (4) | 5 (4) | 4 (4) | 0.8 |
| Nephropathy, n (%) | 0.99 | |||
| Vascular and/or diabetes | 181 (73) | 107 (74) | 74 (72) | – |
| Interstitial disease | 6 (2) | 3 (2) | 3 (3) | – |
| Glomerular disease | 32 (13) | 20 (14) | 12 (12) | – |
| Polycystic kidney | 12 (5) | 6 (4) | 6 (6) | – |
| Other | 17 (7) | 9 (6) | 8 (8) | – |
| Comorbidities, n (%) | ||||
| Hypertension | 232 (94) | 139 (96) | 93(90) | 0.2 |
| Diabetes | 147 (59) | 92 (64) | 55 (52) | 0.3 |
| Cardiac failure | 40 (16) | 27 (19) | 13 (13) | 0.4 |
| Coronary disease | 74 (30) | 49 (34) | 25 (24) | 0.3 |
| Chronic respiratory failure | 11 (4) | 9 (6) | 2 (2) | 0.3 |
| COPD/asthma | 27 (11) | 16 (11) | 11 (11) | 1 |
| Previous renal transplant | 21 (8) | 15 (10) | 6 (6) | 0.3 |
| Immunosuppressive therapy | 24 (10) | 21(14) | 3 (3) | 0.01 |
| HIV | 8 (3) | 4 (3) | 4 (4) | 0.8 |
| Cancer <5 years | 23 (9) | 15 (10) | 8 (8) | 0.7 |
| Obesity (BMI ≥30 kg/m2) | 60 (24) | 32 (22) | 28 (27) | 0.7 |
| Smoker (active) | 22 (9) | 9 (6) | 13 (13) | 0.3 |
| Previous RAS blockers | 96 (39) | 56(39) | 40 (39) | 1 |
| Home (versus facility) living | 199 (80) | 104 (72) | 95(92) | 0.04 |
| Presentation | ||||
| Positive RT-PCR n (%)a | 196 (79) | 121 (84) | 75 (73) | 0.02 |
| Duration between onset of symptoms and PCR (days), mean (SD) | 2.9 (5) | 4 (6) | 2 (3) | 0.02 |
| Fever, n (%) | 152 (61) | 98 (67) | 54 (52) | 0.07 |
| Cough, n (%) | 122 (49) | 92 (63) | 30 (29) | <0.001 |
| Fatigue, n (%) | 101 (40) | 71 (48) | 30 (29) | 0.013 |
| Myalgia, n (%) | 37 (14) | 24 (16) | 13 (12) | 0.013 |
| Diarrhoea, n (%) | 29 (11) | 15 (10) | 14 (13) | 0.7 |
| Dyspnoea, n (%) | 76 (30) | 64 (44) | 12 (11) | <0.001 |
| Headache, n (%) | 18 (7) | 13 (8) | 5 (4) | 0.4 |
| Sore throat, n (%) | 4 (1) | 2 (1) | 2 (1) | 1 |
| Anosmia, n (%) | 10 (4) | 7 (4) | 3 (2) | 0.9 |
| Thoracic imaging (CT scan), n (%) | 153 (62) | 109 (76) | 44 (43) | 0.097 |
| Moderate infiltrate, n (% among those with a CT) | 64 (27) | 38 (26) | 26 (25) | – |
| Large infiltrate, n (% among those with a CT) | 28 (11) | 23 (15) | 5 (4) | – |
| Severe infiltrate, n (% among those with a CT) | 25 (10) | 21 (15) | 4 (4) | – |
| Blood tests | ||||
| Haemoglobin (g/dL), mean (SD) | 10.7 (1.8) | 10.7 (1.8) | 10.70 (1.8) | 0.98 |
| White blood cell count (mm3), mean (SD), mm3 | 5659 (2806) | 5841 (3003) | 5391 (2481) | 0.4 |
| Neutrophils (mm3), mean (SD) | 4182 (2618) | 4508 (2853) | 3720 (2174) | 0.08 |
| Lymphocytes (mm3), mean (SD) | 915 (1046) | 750 (396) | 1152 (1538) | 0.02 |
| Platelets (mm3), mean (SD) | 200 380 (186 624) | 183 265 (77 003) | 225 591 (277 216) | 0.2 |
| CRP (mg/L), mean (SD) | 92 (98) | 115 (109) | 60 (69) | <0.001 |
| Procalcitonin (ng/mL), mean (SD) | 18 (79) | 24 (96) | 7 (31) | 0.4 |
| Prothrombin time/control (%), mean (SD) | 80 (18) | 79 (20) | 84 (11) | 0.4 |
| Fibrinogen (g/L), mean (SD) | 4.9 (1.8) | 5.2 (1.9) | 4.4 (1.3) | 0.2 |
| Ferritin (µg/L), mean (SD) | 1036 (1150) | 1247 (1332) | 755 (774) | 0.07 |
| D-dimers (µg/L), mean (SD) | 3144 (3395) | 3435 (3547) | 1351 (1318) | 0.3 |
| Albumin (g/L), mean (SD) | 31.5 (5.4) | 31 (6) | 32 (4.3) | 0.4 |
A total of 30 (12%) and 22 (8%) patients had negative and non-available RT-PCR, respectively. Bold values indicate statistical significance.
BMI, body mass index; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; HIV, human immunodeficiency virus.
Hospital admission was associated with a history of hypertension, previous immunosuppressive treatment and the presence of cough and confusion (Supplementary data, Table S1).
Treatments and initial outcome have been previously reported [12]. Most hospitalized patients received oxygen therapy [n = 114 (79%)]. A total of 14% (n = 20) of patients required intensive care unit hospitalization. Acute respiratory distress syndrome requiring invasive mechanical ventilation was observed in 9% of patients (n = 13). Overall, initial mortality (<30 days) was 18% (n = 45) after a mean of 14 days (median 9 days) since the onset of symptoms (Supplementary data, Figure S1). Characteristics of survivors and non-survivors (<30 days) are detailed in Supplementary data, Table S2, and the predictors of mortality have been previously reported, including the favourable effect of previous RAS blockers [12] in this cohort.
Long-term follow-up
Among the 203 surviving patients after the acute phase, follow-up to Month 6 was available for 189 (93%) patients. Major adverse events occurred in 30 (16%) patients during follow-up and 12/189 died (6% of the whole population) after a median of 78 days post-diagnosis (Supplementary data, Figure S1). Characteristics of overall 6-month survivors and non-survivors are presented in Supplementary data, Table S3. No impact of RAS blockade was detected in overall mortality. Cardiovascular events (n = 3), severe infections (n = 3) and cachexia (n = 3) were the main causes of long-term (>30 days) death (Table 2). Overall, cardiovascular events, infections and gastrointestinal bleeding were the main major adverse events (Table 2). Causes of death (<30 days and long-term death) are presented in Supplementary data, Table S4.
Table 2.
Long-term adverse events (between 30 days and last follow-up)
| Data | Values |
|---|---|
| Follow–aup | |
| Follow-up (days), median (IQR) | 180 (16) |
| Facility living after COVID-19 acute phase, n (%) | 13 (6.9) |
| Kidney transplantation after COVID-19, n (%) | 4 (2.1) |
| Death, n (%) | 12 (6.3) |
| Time from diagnosis to death (days), median (IQR) | 78 (70) |
| Causes of death, n (%) | |
| Cardiovascular event | 3 (1.5) |
| Infection | 3 (1.5) |
| Post-COVID-19 cachexia | 3 (1.5) |
| Metastatic cancer | 1 |
| Unknown | 2 |
| Major adverse events, n (%) | |
| Cardiovascular events | 11 (5) |
| Myocardial infarction | 2 (1.1) |
| Stroke | 2 (1.1) |
| Acute peripheral artery disease | 1 (0.5) |
| Cardiac arrest | 5 (2.1) |
| Pulmonary embolism | 1 (0.5) |
| Infections | 14 (7.4) |
| Gastro intestinal bleeding | 3 (3.1) |
| Acute pancreatitis | 1 (0.5) |
| Macroscopic haematuria | 1 (0.5) |
| Loss of weight >5% | 40 (21.2) |
| Post-COVID-19 cachexia | 25 (13.2) |
| Loss of weight >10% | 16 (8.5) |
| Extreme muscle weakness | 9 (4.8) |
After controlling for multiple comparisons, no predictors were significantly associated with major adverse events during the follow-up. However, older age [t (14.35) = −2.59, P = 0.021, P-corrected = 0.100; d = 0.64], lower albumin levels at the time of diagnosis [t (5.95) = 4.97, P = 0.003, P-corrected = 0.066; d = 1.67], a history of peripheral artery disease [odds ratio (OR) 4.64, P = 0.020, P-corrected = 0.100] and chronic heart failure (OR 3.88, P = 0.050, P-corrected = 0.178) presented trends of association with long-term death (Table 3). Notably, sex, underlying nephropathy and immunosuppression did not impact the risk of long-term death. None of the 19 patients presenting with an asymptomatic COVID infection died, but this association did not reach statistical significance (P = 1) and the severity of the initial presentation was not a significant predictor of fatality (P = 0.771). No patient developed de novo autoimmune disease or flare of an underlying autoimmune disease. One patient with heart transplant presented acute rejection.
Table 3.
Initial characteristics of long-term (>30 days) survivor and non-survivor patients
| All | Survivor | Non-survivor | Adjusted P-value | |
|---|---|---|---|---|
| (N = 189) | (n = 177) | (n = 12) | ||
| Epidemiological data | ||||
| Age (years), mean (SD) | 65.44 (15.20) | 64.91 (15.34) | 73.35 (10.56) | 0.100 |
| Sex (male), n (%) | 127 (67.2) | 119 (67.2) | 8 (66.7) | 1 |
| Nephropathy, n (%) | 1 | |||
| Polycystic kidney | 8 (4.2) | 7 (4.0) | 1 (8.3) | – |
| Vascular and/or diabetes | 137 (72.5) | 127 (71.8) | 10 (83.3) | – |
| Glomerular disease | 26 (13.8) | 26 (14.7) | 0 (0.0) | – |
| Interstitial disease | 13 (6.9) | 12 (6.8) | 1 (8.3) | – |
| Other | 5 (2.6) | 5 (2.8) | 0 (0.0) | – |
| Candidate for kidney transplantation, n (%) | 98 (51.9) | 94 (53.1) | 4 (33.3) | 0.352 |
| Former kidney transplantation, n (%) | 13 (6.9) | 12 (6.8) | 1 (8.3) | 1 |
| HD vintage (years), mean (SD) | 4.43 (4.38) | 4.26 (3.81) | 6.85 (9.30) | 1 |
| Comorbidities, n (%) | ||||
| Diabetes | 109 (57.7) | 101 (57.1) | 8 (66.7) | 1 |
| Hypertension | 176 (93.1) | 166 (93.8) | 10 (83.3) | 0.904 |
| Chronic heart failure | 24 (12.7) | 20 (11.3) | 4 (33.3) | 0.178 |
| Peripheral artery disease | 61 (32.3) | 53 (29.9) | 8 (66.7) | 0.100 |
| Coronary artery disease | 53 (28.0) | 47 (26.6) | 6 (50.0) | 0.297 |
| Chronic respiratory failure | 5 (2.6) | 4 (2.3) | 1 (8.3) | 0.784 |
| COPD/asthma | 21 (11.1) | 18 (10.2) | 3 (25.0) | 0.673 |
| Immunosuppressive therapy | 13 (6.9) | 13 (7.3) | 0 (0.0) | 1 |
| HIV | 5 (2.6) | 5 (2.8) | 0 (0.0) | 1 |
| Cancer | 16 (8.5) | 15 (8.5) | 1 (8.3) | 1 |
| BMI, mean (SD) | 26.28 (5.83) | 26.29 (5.89) | 26.07 (5.16) | 1 |
| Acute phase COVID-19 characteristics | ||||
| Clinical severity, n (%) | 0.771 | |||
| Asymptomatic | 19 (10.1) | 19 (10.7) | 0 (0.0) | – |
| Mild | 90 (47.6) | 85 (48.0) | 5 (41.7) | – |
| Severea | 71 (37.6) | 66 (37.3) | 5 (41.7) | – |
| Hospitalization, n (%) | 88 (46.6) | 81 (45.8) | 7 (58.3) | 1 |
| Intensive care unit admission, n (%) | 11 (5.8) | 10 (5.6) | 1 (8.3) | 1 |
| Blood tests | ||||
| Leucocytes (mm3), mean (SD) | 5492.59 (2549.53) | 5517.72 (2560.93) | 5068.00 (2433.65) | 1 |
| Lymphocytes (mm3), mean (SD) | 959.07 (1162.98) | 973.85 (1194.42) | 715.20 (286.46) | 0.478 |
| CRP (mg/L), mean (SD) | 80.68 (88.18) | 80.46 (90.34) | 84.34 (40.47) | 1 |
| HS troponin, mean (SD) | 163.25 (461.56) | 116.60 (174.14) | 699.67 (1537.94) | 1 |
| Albuminaemia (g/L), mean (SD) | 31.72 (5.47) | 32.17 (5.31) | 25.00 (2.92) | 0.066 |
| Thoracic imaging (CT scan), n (%) | 0.478 | |||
| Moderate infiltrate, n (% among those with CT) | 50 (26.5) | 48 (27.1) | 2 (16.7) | – |
| Large infiltrate, n (% among those with CT) | 23 (12.2) | 20 (11.3) | 3 (25.0) | – |
| Severe infiltrate, n (% among those with CT) | 16 (8.5) | 15 (8.5) | 1 (8.3) | – |
Severe COVID-19 was defined as the need for oxygen therapy. Bold values indicate statistical significance.BMI, body mass index; CRP, C-reactive protein; HS, high sensitivity; HIV, human immunodeficiency syndrome.
Repeat SARS-CoV-2 RT-PCR was performed in 61 patients for reinfection suspicion during follow-up. Only 2/61 (3%) RT-PCRs was positive, which were performed ˂2 months after initial diagnosis, suggesting these positive results might be persistent viral detection of the initial infection. Repeat serological assays evaluating anti-NC or anti-spike antibodies until Month 6 post-infection were available in 65 patients, as previously reported [13]. Among them, 5/65 patients had no initial seroconversion. Among 60 patients with initial seroconversion, a progressive decline in antibody titres was observed. Moreover, 15/60 (25%) patients had a negative anti-NC titre at Month 6. However, only 3/60 (5%) patients had both negative anti-NC and anti-spike antibodies. Cellular immunity was not evaluated in these patients. No symptomatic reinfection was observed in these patients.
Overall, post-COVID-19 cachexia was seen in 25 patients (13.2%), defined as a loss of >10% of dry weight [n = 16 (8.5%)] or extreme muscle weakness [n = 9 (4.8%)]. After multiple testing correction, low initial albuminaemia remained a significant predictor of cachexia [t (16.87) = 4.91, P = 0.005; d = 1.39] (see Supplementary data, Table S5).
DISCUSSION
We report the long-term follow-up of a large series of MHD patients affected by COVID-19. In our cohort, the mortality rate at <30 days was 18%, which is in line with previously reported cohorts of MHD patients [3, 4, 11]. Notably, hospitalized patients with comorbidities represent the majority of observed death at <30 days. We previously reported the deleterious role of previous immunosuppression in initial mortality in this cohort [12]. Moreover, in this cohort including both ambulatory and hospitalized MHD patients, exposure to RAS blockers was associated with a 50% reduction of initial mortality risk, after propensity score weighting. However, the role of RAS blockers in initial COVID-19 evolution of MHD patients remains debated [14]. Interestingly, recent data suggest that previous exposure to RAS blockers may limit the risk of hospitalization secondary to COVID-19 in ambulatory hypertensive patients [15]. However, RAS blockade was not associated with overall mortality after long-term follow-up in this cohort.
This work provides original information regarding long-term follow-up after COVID-19 in MHD patients. We show that 6-month mortality affects 6% of initial survivor patients after a median of 78 days. This is much higher than recently described in the non-MHD population (1.3%) [7] but is in line with the annual survival proportions of HD patients in France [16]. Actually, according to recent data from the Paris region [17], after the peak mortality of HD patients observed in early 2021, the 2020 6-month mortality appears similar to that observed in 2018 and 2019. Causes of death mainly included cardiovascular and infectious diseases, which are also the main aetiologies of death in non-COVID HD patients. We did not detect any case of SARS-CoV-2 symptomatic reinfection in this cohort, suggesting that such cases remain rare even in the dialysis population. Of note, no systematic screening of SARS-CoV-2 RT-PCR was performed in our cohort following the acute phase, so we cannot rule out possible asymptomatic reinfections. Moreover, long-term serological evaluation in 65 patients with positive initial serology showed that most patients retained detectable humoral immunity against SARS-CoV-2 until 6 months after initial infection [13]. These results suggest that HD patients have long-term immunity against SARS-CoV-2 and a low risk of symptomatic reinfection after 6 months of follow-up.
Lastly, in this survivor population we identified post-COVID-19 cachexia in 13% of patients, which included patients with very severe weight loss (>10% after 6 months). We used the threshold of >10% dry weight loss after 6 months of follow-up to stratify patients with an unambiguous marker of cachexia [9, 10, 18], given the previously identified role of nutritional status in the prognosis of MHD patients [10]. A recent study of 6-month consequences in patients hospitalized for COVID-19 identified fatigue or muscle weakness in 63% of patients, together with sleep disorders, anxiety and impaired pulmonary diffusion capacities [7]. The more severe long-term symptoms were observed especially in the most severe symptomatic forms of COVID-19. Although the incidence of these symptoms is unknown in the MHD population and warrants further studies, our report shows that MHD patients may also present with severe long-term consequences of COVID-19. Conversely, we did not detect any impact of initial severity, age, sex or comorbidities on the risk of developing post-COVID-19 cachexia. The only identified risk factor of post-COVID-19 cachexia was initial albumin level, which could be explained by the association between initial albumin and underlying nutritional status of MHD patients [10].
Our work has several limitations, including the retrospective nature, which could introduce a selection bias towards patients with more severe evolution, and imposes stronger corrections on the results of the tests, which could lead to false negatives. Moreover, asymptomatic SARS-CoV-2-infected patients were not systematically screened, so the overall initial and long-term severity of COVID-19 in MHD patients could be overestimated. However, the detailed characteristics and long-term follow-up of these 248 patients from both academic and private centres allow a representative description of the disease in a large population of MHD patients.
In conclusion, this work describes the deleterious consequences of COVID-19 in MHD patients, highlighting the initial and long-term severity of the disease in this population, including a high rate of severe cachexia.
SUPPLEMENTARY DATA
Supplementary data are available at ckj online.
Supplementary Material
ACKNOWLEDGEMENTS
We thank all the patients involved in this work. We thank all the members of the HD-CovIDF collaboration (19 centres of MHD in the Paris, France area).
Data availability Statement
Data are available on reasonable request
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
Contributor Information
Sylvain Chawki, Institut National de la Santé et de la Recherche Médicale Unité U944, Université de Paris, Paris, France.
Albert Buchard, BIOS Health, Cambridge, UK.
Hamza Sakhi, Assistance Publique des Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Centre de Référence Maladie Rare Syndrome Néphrotique Idiopathique, Fédération Hospitalo-Universitaire Innovative Therapy for Immune Disorders, Créteil, France; Université Paris-Est Créteil, Institut National de la Santé et de la Recherche MédicaleU955, Institut Mondor de Recherche Biomédicale, Créteil, France.
Karim Dardim, ALURAD Isle, Isle, France.
Karim El Sakhawi, Assistance Publique des Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Centre de Référence Maladie Rare Syndrome Néphrotique Idiopathique, Fédération Hospitalo-Universitaire Innovative Therapy for Immune Disorders, Créteil, France.
Mokhtar Chawki, Department of Nephrology and Dialysis, Clinique Claude Bernard, Ermont, France.
Henri Boulanger, Department of Nephrology and Dialysis, Clinique de l’Estrée, Stains, France.
Tomek Kofman, ANDRA, Paris, France.
Djamal Dahmane, Assistance Publique des Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Centre de Référence Maladie Rare Syndrome Néphrotique Idiopathique, Fédération Hospitalo-Universitaire Innovative Therapy for Immune Disorders, Créteil, France; Université Paris-Est Créteil, Institut National de la Santé et de la Recherche MédicaleU955, Institut Mondor de Recherche Biomédicale, Créteil, France.
Philippe Rieu, Departement of Nephrology and Dialysis, Hôpital Privé Nord Parisien, Sarcelles, France.
David Attaf, Frensenius, Paris, France.
Salima Ahriz-Saksi, Department of Nephrology and Dialysis, Clinique de l’Estrée, Stains, France.
Afshin Masoumi, ANDRA, Paris, France.
Ali Zineddine Diddaoui, Department of Nephrology and Dialysis, Clinique Claude Bernard, Ermont, France.
Luc Fromentin, Department of Nephrology and Dialysis, Clinique Claude Bernard, Ermont, France.
Patrick Michaut, Department of Nephrology and Dialysis, Clinique Internationale du Parc Monceaux, Paris, France.
Rachida Nebbad, Centre d’Autodialyse le Figuier, Drancy, France.
Jean-François Desassis, Department of Nephrology and Dialysis, Centre Edouard Rist, Paris, France.
Laurence Nicolet, Department of Nephrology and Dialysis, Centre Edouard Rist, Paris, France.
Julie Sohier-Attias, Centre de Néphrologie SIRTA, Argenteuil, France.
Frederic Besson, Department of Dialysis, Clinique Lambert, La Garenne-Colombes, France.
Remy Boula, Department of Dialysis, Clinique Lambert, La Garenne-Colombes, France.
Ali Hafi, Department of Dialysis, Clinique Lambert, La Garenne-Colombes, France.
Abderrahmane Ghazali, Department of Dialysis, Groupe Hospitalier Public Sud de l’Oise, Creil, France.
Larbi Lamriben, Department of Dialysis, Clinique les Martinets, Rueil Malmaison, France.
Adem Arezki, Department of Dialysis, Clinique les Martinets, Rueil Malmaison, France.
Emmanuel Dupuis, Department of Nephrology and Dialysis, American Hospital of Paris, Neuilly-sur-Seine, France.
Mohamad-Khair Rifard, Department of Nephrology and Dialysis, Centre Hospitalier des Quatre Villes, Saint Cloud, France.
Dominique Joly, Department of Adult Nephrology, Assistance Publique des Hôpitaux de Paris, Hôpital Necker-Enfants Malades, Paris, France.
Philippe Attias, Departement of Nephrology and Dialysis, Hôpital Privé Nord Parisien, Sarcelles, France.
Khalil El Karoui, Assistance Publique des Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie et Transplantation, Centre de Référence Maladie Rare Syndrome Néphrotique Idiopathique, Fédération Hospitalo-Universitaire Innovative Therapy for Immune Disorders, Créteil, France; Université Paris-Est Créteil, Institut National de la Santé et de la Recherche MédicaleU955, Institut Mondor de Recherche Biomédicale, Créteil, France.
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Data Availability Statement
Data are available on reasonable request