Literature DB >> 34227016

Risk factors for infection and mortality among hemodialysis patients during COVID-19 pandemic.

Özgür Can1, Gunal Bilek2, Sibel Sahan3.   

Abstract

PURPOSE: The aim of this study was to evaluate risk factors for COVID-19 infection and mortality and to document if any relation exists between 25 (OH) Vitamin D and COVID-19 infection.
METHODS: This retrospective study evaluated 151 HD patients. Patients infected with COVID-19 were compared to patients without the infection. Risk factors for intensive care unit (ICU) stay and mortality were analyzed. Deceased infected patients were also compared to patients who died due to other causes.
RESULTS: The mean age of all HD patients was 57.15 ± 15.73 years and 51.7% were male. The mean 25 (OH) Vitamin D level of all patients was 16.48 ± 8.45 ng/ml. Thirty-five infected patients were significantly older, had a higher Charlson comorbidity index (CCI) score. They also had a higher number of patients with diabetic nephropathy, cerebrovascular accident (CVA) and coronary heart disease (CHD). Patients who needed to stay in ICU had higher CCI score, a higher number of patients with diabetic nephropathy, pulmonary diseases and had statistically significantly higher CRP levels. Deceased infected patients were significantly older, had higher CCI scores and lower PTH than survived infected patients. Deceased infected patients had lower PTH, but had significantly lower leukocyte, lymphocyte counts and urea levels at admission when compared to patients who died due to other causes. Patients with poor prognosis had lower neutrophil and lymphocyte counts before infection and at admission; respectively. 25 (OH) Vitamin D level was not related to the risk of COVID-19 infection, ICU stay or mortality.
CONCLUSION: Older age, higher CCI scores, diabetic nephropathy, CHD, CVA, pulmonary diseases, and lower neutrophil and lymphocyte counts were found as poor prognostic factors. The comparisons yielded no significant finding for 25 (OH) Vitamin D, acetylsalicylic acid, erythropoietin, intravenous iron, ACEI, ARBs, and dialysis adequacy parameters.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  COVID-19; Hemodialysis; Mortality; Vitamin D

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Year:  2021        PMID: 34227016      PMCID: PMC8257085          DOI: 10.1007/s11255-021-02926-3

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.266


Introduction

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) was the cause of coronavirus disease 2019 (COVID-19), that infected high number of patients and caused a higher rate of morbidity and mortality [1]. It has been shown that patients who are older and who have chronic diseases like hypertension, diabetes mellitus (DM), and cardiovascular diseases are both more susceptible and are severely affected by this infection [2, 3]. The accompanying co-morbid diseases and immunosuppression caused by uremia also cause hemodialysis (HD) patients to be seriously affected by this infection [4]. Vaccination is expected to decrease morbidity and mortality related to COVID-19 infection. Detection and elimination of risk factors is essential until all HD patients are vaccinated and the positive effect of vaccination is revealed. One risk factor that can be investigated is vitamin D insufficiency. Vitamin D insufficiency is prevalent in HD subjects [5-7].and low serum 25 (OH) D levels are known to be associated with increased risk of infection and mortality [8]. A study by Drechsler et al. [9] found that for every unit decrease in 25 (OH) D levels lower than 20 ng/ml, there was an increased risk of mortality from infections. Therefore, we wanted to evaluate the relationship between 25 (OH) D levels and COVID-19 infection. This study aims to evaluate risk factors for COVID-19 infection and mortality among HD patients and aims to document if a relationship exists between 25 (OH) D level and COVID-19 infection.

Materials and methods

This retrospective study included one hundred seventy-three HD patients recruited from five HD units including Adilcevaz, Ahlat, Bitlis, Güroymak and Tatvan HD units in Bitlis, Turkey. The study period was between 1 January 2020 and 30 December 2020. Patients who were younger than 18 years old (n = 2 patients), on HD shorter than 3 months (n = 5 patients), treatment incompatible (n = 6 patients), and taking HD less than three times per week (n = 4) were excluded from the study. Five patients had inadequate follow-up data and were also excluded from the study. After excluding these patients, 151 patients were eligible for the analyses. Data included age, gender, body mass index (BMI), dialysis vintage, cause of end-stage renal disease (ESRD), co-morbid diseases including hypertension, DM, coronary heart disease (CHD), congestive heart failure (CHF), pulmonary diseases including chronic obstructive pulmonary disease (COPD) and asthma, peripheric artery disease (PAD), cerebrovascular accident (CVA). Types of vascular access including arterio-venous (A-V) fistula or graft and central venous catheter, acetylsalicylic acid (ASA), angiotensin-converting-enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) usage, intravenous (IV) iron and erythropoietin (EPO) doses, treatment with fresh frozen plasma (FFP), symptoms at the time of admission, duration of hospitalization, need of intensive care unit (ICU) and mortality were also included. Charlson’s comorbidity index (CCI) calculator was used to calculate CCI score and estimated 10-year survival [10]. For infected and deceased patients, laboratory data until COVID-19 infection and mortality were used; respectively. For others, laboratory data throughout 2020 were used. Blood was taken from HD patients in each month at mid weak session for laboratory analysis. The data were analyzed by taking a mean of every 3-month test results. Laboratory data included monthly and admission study results and included the following parameters: urea, creatinine, sodium, potassium, corrected calcium, albumin, phosphorus, parathormone (PTH), alkaline phosphatase (ALP), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), serum iron, total iron-binding capacity (TIBC), ferritin, C-reactive protein (CRP), ph, PCO2, lactate, bicarbonate, ferritin, troponin, hemoglobin, leukocyte, lymphocyte, neutrophil and platelet counts, Kt/V, urea reduction rate (URR), thyroid-stimulating hormone (TSH), 25 (OH) vitamin D, Vitamin B12 and anti HbsAg levels. 25 (OH) vitamin D was not studied in Bitlis dialysis unit and hormones were studied two times a year. Low flux dialyzers were used for all patients and they received low molecular weight heparin (LMWH) during their disease period. The erythrocyte stimulating agents were epoetin alpha or zeta and darbepoetin (DPO) alpha and all were used intravenously. To convert EPO to DPO, a conversion ratio of 200 international units (IU) of EPO to 1 μg of DPO was used [11]. A real-time reverse transcriptase-polymerase chain reaction test (rRT-PCR) for SARS-CoV-2 and lung tomography was performed on patients presented with symptoms thought to be caused by COVID-19. The presence of ground-glass opacities, crazy-paving patterns, and consolidation areas were related to pulmonary involvement of COVID-19 disease. Positive PCR test or typical tomography findings were accepted for the diagnosis of COVID-19 disease. Favipiravir and Plaquenil were given to patients as suggested by the protocol of the Ministry of Health of Turkey. Favipiravir (2 × 1600 mg loading and 1 × 600 mg maintenance dose) was given to all patients for a total of 5 days. Favipiravir therapy was continued for five more days, if no clinical improvement was observed. The Plaquenil loading and maintenance doses were 2 × 200 mg and 2 × 100 mg; respectively. Azithromycin was used with Plaquenil before the Favipravir protocol. Fresh frozen plasma was also given to patients when no adequate clinical improvement was observed. Secondary bacterial infections were treated with appropriate antibiotics. Vitamin D replacement was done considering patients’ serum levels of calcium, phosphorus and PTH levels. Cholecalciferol was used for replacement and patients with PTH < 200, Ca > 10.5 mg/dL, P > 6.5 mg/dL were not supplemented with cholecalciferol. The analyses were conducted in statistical software R. Categorical variables were analyzed by using Chi square test of independence and Fisher’s exact test of independence. Before conducting any kind of analysis on the continuous variables, normality assumption was checked by the Shapiro–Wilk test of normality. To compare the distributions of two continuous variables, Independent Samples t Test was implemented for normal data, whereas Mann–Whitney U test was applied for non-normal data. Additionally, to investigate the factors affecting the binary response variable, logistic regression with binomial link function was implemented, and highly correlated independent variables (r > 0.7) were not included in the analyses to satisfy the absence of multicollinearity assumption. Finally, the level of significance was 0.05.

Results

Demographic and clinical parameters of all HD patients are shown in Table 1. The mean age of the patients was 57.15 ± 15.73 years and 51.7% of the patients were male. The most common cause of ESRD was diabetic nephropathy (39.6%) and the mean dialysis vintage was 57.81 ± 51.06 months. Mean 25 (OH) Vitamin D level of all patients was 16.48 ± 8.45 ng/ml. The percentage of patients with A-V fistula was 65.56% (n = 99) and only one patient had A–V graft. Among 151 patients; 35 patients were infected with COVID-19. The mean age of the infected and uninfected HD patients was 63.22 ± 12.36 and 55.37 ± 16.21 years, respectively. The number of patients who were PCR positive at least one time was 31 and 4 patients had negative PCR tests during their illness. Thirty-two patients had pulmonary involvement (24 bilateral, 8 unilateral) and the remaining three patients had no pulmonary involvement. Among 35 patients; 1 patient received only Plaquenil, 8 patients received both Favipravir and Plaquenil and the other patients received only Favipravir treatment. Eight patients received FFP and among these patients, 4 died.
Table 1

Demographic and clinical characteristics of hemodialysis patients

ParametersResults
Age (years, mean ± SD)57.15 ± 15.73
Male, n (%)78 (51.70)
Body mass index (kg/m2, mean ± SD)24.53 ± 4.73
Patients with A–V fistulas, n (%)99 (65.56)
Dialysis vintage (months, mean ± SD)57.81 ± 51.06
Primary kidney disease, n (%)
 Diabetic nephropathy62 (39.6)
 Hypertensive nephropathy47 (30.51)
 Glomerulonephritis10 (6.5)
 CCI score (mean ± SD)5.40 ± 2.58
Estimated 10-year survival %33.50 ± 36.60
Urea (mg/dl, mean ± SD)130.66 ± 26.35
Creatinine (mg/dl, mean ± SD)7.34 ± 2.32
White blood cell (109/l, mean ± SD)7.03 ± 3.63
Neutrophil (109/l, mean ± SD)4.54 ± 1.87
Lymphocyte (109/l, mean ± SD)1.51 ± 0.50
Hemoglobin (g/dl, mean ± SD)11.17 ± 1.54
Ferritin (ug/l, mean ± SD)482.80 ± 208.32
Albumin (g/dl, mean ± SD)3.84 ± 0.55
Phosphorus (mg/dl, mean ± SD)4.97 ± 1.07
Parathormone (pg/ml, mean ± SD)521.64 ± 417.30
TSH (uIU/ml, mean ± SD)1.80 ± 1.30
Kt/v ≥ 1.2, n (%)133 (88.01)
Kt/v ≥ 1.4, n (%)92 (59.74)
C-reactive protein (mg/l, mean ± SD)17.26 ± 22.56
25 (OH) Vitamin D (ng/mL, mean ± SD)16.48 ± 8.45
Vitamin B12 (pg/ml, mean ± SD)413.09 ± 284.93
Treatment
 Acetylsalicylic acid (%)58.94
 ACEI* or ARB* usage (%)25.16
 Intravenous iron dose (mg/month, mean ± SD)175.79 ± 258.39
 Erythropoietin (IU/month, mean ± SD)6128.02 ± 3134.961
COVID-19 infected patients, n (%)35 (23.18)
Total mortality, n (%)22 (14.57)
Mortality related to COVID-19, n (%)11 (7.28)

A–V Arteriovenous ACEI Angiotensin-converting-enzyme inhibitor; ARB angiotensin receptor blocker; TSH thyroid-stimulating hormone; CCI Charlson comorbidity index

Demographic and clinical characteristics of hemodialysis patients A–V Arteriovenous ACEI Angiotensin-converting-enzyme inhibitor; ARB angiotensin receptor blocker; TSH thyroid-stimulating hormone; CCI Charlson comorbidity index As comorbid diseases, 47 patients had hypertension, 62 had DM, 26 had pulmonary diseases, 34 had CHD, 38 had CHF, 15 had PAD and 12 had a history of CVA and 9 had chronic hepatitis B infections. The most common symptoms at hospitalization were fatigue (n = 15), dyspnea (n = 11), fever (n = 11) and cough (n = 9). Other symptoms that the patients complained of at admission include, bloody sputum, joint pain, nausea, diarrhea, chest pain, abdominal pain, and low blood sugar. The mean hospital stay of infected patients was 12.03 ± 10.16 days. To find risk factors for COVID-19 infections among HD patients; patients infected with COVID-19 were compared to patients who were not infected with COVID-19 (Table 2). Infected patients were statistically significantly older (p = 0.00), had higher CCI score (p = 0.01), lower estimated 10-year survival (p = 0.01) and lower vitamin B12 (p = 0.02) levels. Covid-19 infected patients had statistically significantly higher number of patients with diabetic nephropathy (p = 0.03), and CVA (p = 0.01) and CHD (p = 0.00). They also had significantly higher levels of serum iron (p = 0.03) and total iron-binding capacity (p = 0.04). However, there was no statistically significant difference of 25 (OH) vitamin D level when two groups were compared (p = 0.45). Additionally, multivariate logistic regression analysis was implemented with the significant variables in Table 2, as independent variables (excluding 10-year survival due to multicollinearity) and being COVID-19 infected as the response variable, CVA (p = 0.00) and CHD (p = 0.01) were statistically significant.
Table 2

Comparison of COVID-19 infected and uninfected hemodialysis patients

ParametersCOVID-19 ( +) (n = 35)COVID-19 (–) (n = 116)p
Age (years, mean ± SD)63.22 ± 12.3655.37 ± 16.210.00*,1
Male, n (%)15 (42.85)63 (54.30)0.402
Body mass index (kg/m2, mean ± SD)25.01 ± 5.1424.59 ± 4.620.531
Dialysis vintage (months, mean ± SD)62.55 ± 53.0356.38 ± 50.600.541
Diabetic nephropathy, n (%)20 (57.14)43 (37.07)0.032
CCI score (year, mean ± SD)6.54 ± 2.695.05 ± 2.450.01*,1
Estimated 10-year survival (%)20.17 ± 33.437.53 ± 36.80.01*,1
Coronary heart disease, n (%)19 (54.28)8 (6.9)0.00*,2
Cerebrovascular accident, n (%)6 (17.14)5 (4.30)0.02*,3
Hemoglobin (g/dl, mean ± SD)10.85 ± 1.4911.26 ± 1.550.161
Serum iron (µmol/l, mean ± SD)67.73 ± 36.7251.13 ± 36.720.03*,1
TIBC (µg/l, mean ± SD)131.81 ± 68.08102.64 ± 69.640.04*,1
Transferrin saturation (mean ± SD)0.62 ± 0.610.53 ± 0.360.471
Ferritin (ug/l, mean ± SD)525.32 ± 202.32470.23 ± 209.260.171
Parathormone (pg/ml, mean ± SD)498.06 ± 427.81528.61 ± 415.790.711
Kt/V (mean ± SD)1.47 ± 0.261.55 ± 0.590.311
Urea reduction rate (mean ± SD)71.12 ± 6.1371.30 ± 5.790.881
C-reactive protein (mg/l, mean ± SD)20.96 ± 27.9316.16 ± 20.730.361
HBsAg titer (IU/l, mean ± SD)282.60 ± 326.98282.60 ± 307.220.781
25 (OH) Vitamin D (ng/ml, mean ± SD)18.12 ± 9.9116.15 ± 8.140.451
Vitamin B12 (pg/ml, mean ± SD)325.59 ± 196.76441.55 ± 303.810.02*,1
Acetylsalicylic acid, n (%)22 (62.85)67 (57.76)0.732
ACEI or ARB, n (%)5 (14.29)33 (28.44)0.142
IV iron dose (mg/month, mean ± SD)213.30 ± 202.60164.38 ± 272.870.25
Erythropoietin (IU/month, mean ± SD)6164.91 ± 3153.806116 ± 3142.610.941

CCI Charlson comorbidity index; ARB angiotensin receptor blocker; ACEI angiotensin-converting-enzyme inhibitor; TIBC total iron binding capacity; IV intravenous

1Independent samples t test

2Chi square test of independence

3Fisher’s exact test of independence

*Statistically significant difference at significance level of 0.05

Comparison of COVID-19 infected and uninfected hemodialysis patients CCI Charlson comorbidity index; ARB angiotensin receptor blocker; ACEI angiotensin-converting-enzyme inhibitor; TIBC total iron binding capacity; IV intravenous 1Independent samples t test 2Chi square test of independence 3Fisher’s exact test of independence *Statistically significant difference at significance level of 0.05 COVID-19 patients who needed to stay at ICU were compared to patients who did not (Table 3). Patients who needed ICU stay had higher CCI score (p = 0.03), lower estimated 10-year survival (p = 0.01), higher numbers of pulmonary diseases (p = 0.04) and diabetic nephropathy (p = 0.01), lower neutrophil count (p = 0.01) and neutrophil to lymphocyte ratio (p = 0.02). They also had statistically significantly higher CRP (p = 0.04) level and lower lymphocyte count (p = 0.04) at admission. However, there was no statistically significant result for 25 (OH) vitamin D level when the two groups were compared (p = 0.58). Multivariate logistic regression analysis was implemented with the significant variables in Table 3 (excluding 10-year survival chance due to multicollinearity) and pulmonary disease (p = 0.01) and CCI score (p = 0.03) were found statistically significant.
Table 3

Comparison of infected patients regarding intensive care unit need

ParametersICU stay (n = 9)No ICU stay (n = 26)p
Age (years, median)70630.181
Male, n (%)5 (55.56)10 (38.46)0.422
Body mass index (kg/m2, median)23.0224.920.451
Dialysis vintage (months, median)18.3057.710.441
Diabetic nephropathy, n (%)4 (44.44)16 (61.53)0.01*,3
CCI score (median)760.03*,1
Estimated 10-year survival % (median)020.01*,1
Coronary heart disease, n (%)5 (55.56)14 (52.85)0.982
Cerebrovascular accident, n (%)2 (22.22)4 (15.38)0.642
Urea (mg/dl, median)132.08134.110.591
WBC (109/l, median)5.627.030.071
Neutrophil (109/l, median)3.414.960.01*,1
Neutrophil/Lymphocyte (median)2.163.230.02*,1
Hemoglobin (g/dl, median)10.7010.920.641
Ferritin (ug/l, median)591.50595.830.491
Parathormone (pg/ml, median)200.90431.400.081
Kt/V (median)1.451.460.921
Urea reduction rate (median)71.172.30.741
C-reactive protein (mg/l, median)10.2812.150.721
25 (OH) Vitamin D (pg/ml, median)16.0714.690.581
Acetylsalicylic acid, n (%)7 (77.78)15 (57.69)0.432
ACEI or ARB, n (%)7 (77.78)23 (88.46)0.432
IV iron (mg/month, median)91.67145.840.491
Lymphocyte (109/l, median)1.521.360.04*,1
C-reactive protein (mg/l, median)137.9556.870.00*,1

ICU intensive care unit; CCI Charlson comorbidity index; WBC white blood cell; ACEI angiotensin-converting-enzyme inhibitor; ARB Angiotensin II receptor blocker; IV intravenous

1Mann–Whitney U test

2Fisher’s exact test of independence

*Statistically significant difference at a significance level of 0.05

†At admission

Comparison of infected patients regarding intensive care unit need ICU intensive care unit; CCI Charlson comorbidity index; WBC white blood cell; ACEI angiotensin-converting-enzyme inhibitor; ARB Angiotensin II receptor blocker; IV intravenous 1Mann–Whitney U test 2Fisher’s exact test of independence *Statistically significant difference at a significance level of 0.05 †At admission The number of infected patients who deceased was 11 with a mean hospital stay of 11.72 ± 8.29 days. Among these 11 patients, 7 of them died in ICU and 3 of them in a COVID-19 clinic. One of the patients died in his home four days after hospital discharge. In order to find risk factors for mortality among COVID-19 patients, deceased and survived COVID-19 infected patients were compared (Table 4). Deceased patients were significantly older (p = 0.01), had higher CCI score (p = 0.01), and lower estimated 10-year survival (p = 0.01). Survived patients had significantly higher serum PTH (p:0.03) levels and neutrophil counts (p = 0.04). Survived patients had also significantly higher lymphocyte counts (p = 0.00) at admission. However; there was no statistically significant result for 25 (OH) vitamin D level when two groups were compared (p = 0.36). Multivariate logistic regression analysis was carried out with the significant variables in Table 4 (excluding 10-year survival chance due to multicollinearity) and neutrophil count (p = 0.04); and CCI score (p = 0.02) were found to be statistically significant.
Table 4

Comparison of deceased and survived COVID-19 infected hemodialysis patients

ParametersDeceased patients (n = 11)Survived patients (24)p
Age (years, median)70.560.190.01*,1
Male, n (%)6 (54.54)9 (37.50)0.472
Body mass index (kg/m2, median)23.7924.620.511
Dialysis vintage (months, median)52.5651.260.451
Diabetic nephropathy, n (%)8 (72.72)11 (45.83)0.432
CCI score (median)760.04*,1
Estimated 10-year survival % (median)020.01*,1
Coronary heart disease, n (%)5 (%45.45)11 (45.83)0.803
Cerebrovascular accident, n (%)4 (36.36)2 (8.33)0.062
White blood cell (109/l, median)5.626.920.121
Neutrophil (109/l, median)3.644.960.04*,1
Lymphocyte (109/l, median)1.391.420.831
Hemoglobin (g/dl, median)10.7510.920.862
Ferritin (ug/l, median)591.50595.830.582
Parathormone (pg/ml, median)285.12431.40.03*,1
Kt/V (median)1.501.430.831
Urea reduction rate (median)72.571.00.841
C-reactive protein (mg/l, median)6.3513.000.061
HBsAg titer (IU/l, median)114.26178.970.971
25 (OH) Vitamin D (pg/ml, median)16.0713.040.362
Acetylsalicylic acid usage, n (%)9 (81.81)13 (54.17)0.152
ACEI or ARB usage, n (%)2 (18.18)3 (54.17)0.142
IV iron (mg/month, median)90.91145.840.881
Erythropoietin (IU/month, median)600072500.321
Lymphocyte (109/l, median)0.721.240.00*,1

ACEI Angiotensin-converting-enzyme inhibitor; ARB Angiotensin II receptor blocker; CCI Charlson comorbidity index; IV intravenous

1Mann–Whitney U test

2Fisher’s exact test of independence

3Chi square test of independence

*Statistically significant difference at a significance level of 0.05

†At admission

Comparison of deceased and survived COVID-19 infected hemodialysis patients ACEI Angiotensin-converting-enzyme inhibitor; ARB Angiotensin II receptor blocker; CCI Charlson comorbidity index; IV intravenous 1Mann–Whitney U test 2Fisher’s exact test of independence 3Chi square test of independence *Statistically significant difference at a significance level of 0.05 †At admission Finally, deceased COVID-19 patients were compared to patients whom died due to other causes (Table 5). Deceased COVID-19 patients had significantly lower neutrophil counts (p = 0.04) and PTH levels (p = 0.03) before infection, but had also significantly lower leukocyte (p = 0.01), lymphocyte counts (p = 0.04) and urea levels (p = 0.02) at admission. However; there was no statistically significant difference in terms of 25 (OH) vitamin D level between the two groups (p = 0.45). Multivariate analysis was implemented with the significant variables in Table 5 (excluding 10-year survival due to multicollinearity) and no statistically significant finding was detected.
Table 5

Comparison of COVID-19 related and non-related deceased patients

ParametersCOVID-19 related (n = 11)Non-COVID-19 related (n = 11)p
Age (years, median)71730.771
Male, n (%)6 (54.54)4 (36.36)0.202
Body mass index (kg/m2, median)23.7926.290.521
Dialysis vintage (months, median)52.5622.670.091
Diabetic nephropathy, n (%)8 (72.72)4 (36.36)0.123
CCI score (median)780.731
Estimated 10-year survival % (median)0011
WBC (109/l, median)5.627.070.091
Neutrophil (109/l, median)3.645.120.04*,1
Coronary heart disease, n (%)5 (45.45)5 (45.45)12
Cerebrovascular accident, n (%)4 (36.36)2 (18.18)0.643
Lymphocyte (109/l, median)1.381.250.681
Hemoglobin (g/dl, median)10.7510.630.321
Ferritin (ug/l, median)591.50583.330.621
Parathormone (pg/ml, median)285.12349.500.03*,1
Kt/V (median)1.501.470.781
Urea reduction rate % (median)72.5071.000.901
C-reactive protein (mg/l, median)6.358.850.121
Vitamin B12 (pg/ml, median)246.0262.50.341
25 (OH) Vitamin D (pg/ml, median)16.0716.470.451
Acetylsalicylic acid, n (%)9 (81.81)7 ()0.632
ACEI or ARB, n (%)2 (18.18)2 (18.18)13
IV iron (mg/year, median)90.9171.880.361
Erythropoietin (IU/month, median)600066050.301
Urea (mg/dl, median)16589.50.02*,1
WBC (109/l, median)5.0110.060.01*,1
Lymphocyte (109/l, median)72212080.04*,1

WBC white blood cells; ACEI angiotensin-converting-enzyme inhibitor; ARB angiotensin receptor blocker; CCI Charlson comorbidity index; IV intravenous

1Mann–Whitney U test

2Chi square test of independence

3Fisher’s exact test of independence

*Statistically significant difference at significance level of 0.05

†At admission

Comparison of COVID-19 related and non-related deceased patients WBC white blood cells; ACEI angiotensin-converting-enzyme inhibitor; ARB angiotensin receptor blocker; CCI Charlson comorbidity index; IV intravenous 1Mann–Whitney U test 2Chi square test of independence 3Fisher’s exact test of independence *Statistically significant difference at significance level of 0.05 †At admission There were no significant differences for other parameters including gender, BMI, dialysis vintage, hemoglobin, ferritin, Kt/V, URR, ASA, ACEI or ARB, IV iron or EPO when groups were compared in all the analyses.

Discussion

In this study, HD patients were evaluated regarding COVID-19 infection and subjects were from 5 different dialysis centers in Bitlis. The first HD patient was detected with COVID-19 at 3th May 2020. The percentage of COVID-19 infection in this study was 23% in 2020. A study from Spain evaluated 282 HD patients and in one month approximately 36 patients were infected with COVID-19 and the percentage of infected patients was 12% [12]. Another study from Wuhan included patients until 28 February 2020 and the percentage of infection was 11.8% among 627 HD patients [13]. The duration of studies, the crowd of the dialysis units, their logistic ability, and socioeconomic factors all can change the percentage of infected patients. The most common symptoms at hospitalization were fatigue (42%), dyspnea and fever (both 31%) and coughing (n: 25%). The percentages of symptoms at presentation are lower than other studies reported for the general population and also lower than a study including only HD patients [12, 14–16]. In this study, COVID-19 related mortality rate was 31% in 2020. A study by Tian et al. included 123 patients among 553 HD patients and showed a mortality rate of 4% which was stated as higher and lower from the studies of China and Italy; respectively [17-19]. The study period was short and the number of excluded patients was high and four cases were still hospitalized when the data were collected, which should explain why their mortality rate was lower. The previously mentioned study from Spain (duration approximately one month) reported a mortality rate of 30.5%, which is similar to our study. Risk factors including age, DM, obesity, CHD, or COPD were not associated with higher mortality in this study from Spain. They showed that low lymphocyte count and high LDH, and total bilirubin and CRP levels, 7 days after clinical onset, were associated with mortality [12]. Studies evaluating COVID-19 patients reported advanced age and accompanying co-morbidities related to poor prognosis [18, 20–23]. In our study, prognostic factors that were significantly associated with infection risk were older age, higher CCI score, and lower estimated 10-year survival, diabetic nephropathy and CVA and CHD. Also, mortality risk related to COVID-19 was significantly higher in older patients and in patients with higher CCI score and lower estimated 10-year survival. The deceased infected patients also had significantly lower PTH levels. The lower PTH in infected patients was also reported by Min et al. [13]. It was shown again that lower PTH levels can be a significant predictive factor leading to the death of patients [24]. The risk of mortality significantly rises if the patient requires admission to ICU and need of ICU stay was shown to be between 16 and 78% [25]. In diabetic patients, the first line of defense against SARS-CoV-2 is disrupted, which leads to chronic inflammation or increased coagulation activity [26], more severe disease, acute respiratory distress syndrome (ARDS), and increased mortality [27]. In our study, the number of patients who needed ICU had higher number of patients with diabetic nephropathy and pulmonary disease as co-morbid diseases. The insufficient pulmonary reserve of patients with pulmonary diseases might have resulted in respiratory insufficiency that resulted in ICU assistance. A study by Erdinc et al. summarized the hematological manifestations of COVID-19 and reported lymphopenia as the most prominent finding [28]. Zhou et al. reported that COVID-19 patients who persistently had low lymphocyte counts died of the disease, and patients who showed improvements of lymphocyte counts during the hospitalization survived [29]. It was also stated that severe lymphopenia < 0.6 × 109/l can be a sign for early admission to the ICU [30]. Lower lymphocyte counts were observed in COVID-19 patients with ARDS and neutrophilia was associated with increased risk of mortality [31]. The increased risk with neutrophilia was thought to be secondary to the disease course becoming complicated by bacterial superinfections [28]. Regarding HD patients, a study by Islam et al. showed that patients who needed ICU and died because of COVID-19 had also significantly lower lymphocyte counts at admission [32]. Another study by Shang et al. showed that patients who deceased because of COVID-19 had significantly higher neutrophil counts at admission [33]. Tian et al. evaluated infected and uninfected HD patients and found no appreciable differences in leukocyte, neutrophil and lymphocyte counts [17]. Regarding our patients with poor prognosis, lower neutrophil and lymphocyte counts were prominent before infection and at admission; respectively. Increased risk of developing severe and fatal COVID-19 infection is associated with increased ACE2 expression which is caused by the use of ACEI and ARBs [34]. On the other hand, the positive effects of ACEI and ARBs were also shown. They reduce inflammation with decreased cytokines levels and consequently reduce mortality and endotracheal intubation risks in patients with viral pneumonia [26]. In our study, either ACEI or ARBs did not contribute to the risk of infection, mortality, and ICU stay. There was also no significant difference between deceased COVID-19 patients and patients died due to other reasons. A recent study identified vitamin D among the three top molecules manifesting potential infection mitigation patterns [35]. Regulation of the renin-angiotensin system, cellular innate and adaptive immunity, and physical barriers by vitamin D, decrease the risks of COVID-19 infection and mortality [36]. Radujkovic et al. studied the impact of vitamin D status on the severity of COVID-19 in a total of 185 inpatients and outpatients. Inpatients had significantly lower levels of vitamin D than outpatients and vitamin D deficiency at admissions was related to a greater risk of requiring invasive mechanical ventilation and higher mortality rate [37]. Ilie et al. also showed an association between lower vitamin D levels and COVID-19 mortality in various European countries [38]. A study from Italy also showed an increased risk of SARS-CoV-2 infection, subsequent hospitalization, and in-hospital mortality in patients with lower vitamin D levels [39]. These studies included non-dialysis-dependent patients. For HD patients, vitamin D insufficiency is prevalent [5-7].and low serum 25 (OH) D levels are known to be associated with increased risk of infection and mortality [8]. However, whether vitamin D is helpful in preventing COVID-19 infection, reducing disease progression, and reducing mortality in HD patients with COVID-19, remains unknown. To our knowledge, no study evaluated the relation between vitamin D and COVID-19 infection in HD patients. In this study, there were no statistically significant results between 25 (OH) vitamin D and infection risk, ICU stay risk or mortality risk, because of COVID-19. The retrospective design is an important limitation of our study. The second limitation is, that the exact incidence of infection is unknown in our dialysis facility because asymptomatic patients were not tested for COVID-19 infection. However, the laboratory data throughout 2020 before patients being infected strengthened our study. Furthermore, 25 (OH) vitamin D levels of HD patients were also analyzed. In conclusion; older age, higher CCI score, lower estimated 10-year survival, diabetic nephropathy, CHD, CVA, pulmonary diseases, and lower neutrophil and lymphocyte counts were found as poor prognostic factors. Also, there were no statistically significant results between 25 (OH) vitamin D and infection risk or mortality risk because of COVID-19. The comparisons also yielded non-significant results for ASA, EPO, IV iron, ACEI, ARBs and dialysis adequacy parameters.
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1.  Prevalence of vitamin D deficiency and the safety and effectiveness of monthly ergocalciferol in hemodialysis patients.

Authors:  Georges Saab; Daniel O Young; Yekaterina Gincherman; Karla Giles; Kathryn Norwood; Daniel W Coyne
Journal:  Nephron Clin Pract       Date:  2007-01-16

2.  Nutritional vitamin D in dialysis patients: what to D-iscern?

Authors:  Sagar U Nigwekar; Ishir Bhan; Ravi Thadhani
Journal:  Nephrol Dial Transplant       Date:  2011-01-13       Impact factor: 5.992

Review 3.  Effect of uremia on structure and function of immune system.

Authors:  Nosratola D Vaziri; Madeleine V Pahl; Albert Crum; Keith Norris
Journal:  J Ren Nutr       Date:  2012-01       Impact factor: 3.655

4.  Clinical measures identify vitamin D deficiency in dialysis.

Authors:  Ishir Bhan; Sherri-Ann M Burnett-Bowie; Jun Ye; Marcello Tonelli; Ravi Thadhani
Journal:  Clin J Am Soc Nephrol       Date:  2010-02-25       Impact factor: 8.237

5.  [Clinical characteristics and outcomes of 112 cardiovascular disease patients infected by 2019-nCoV].

Authors:  Y D Peng; K Meng; H Q Guan; L Leng; R R Zhu; B Y Wang; M A He; L X Cheng; K Huang; Q T Zeng
Journal:  Zhonghua Xin Xue Guan Bing Za Zhi       Date:  2020-06-24

6.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

7.  Low Vitamin D Status at Admission as a Risk Factor for Poor Survival in Hospitalized Patients With COVID-19: An Italian Retrospective Study.

Authors:  Marco Infante; Andrea Buoso; Massimo Pieri; Santina Lupisella; Marzia Nuccetelli; Sergio Bernardini; Andrea Fabbri; Marco Iannetta; Massimo Andreoni; Vittorio Colizzi; Maria Morello
Journal:  J Am Nutr Assoc       Date:  2021-02-18

8.  Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis.

Authors:  Alfonso J Rodriguez-Morales; Jaime A Cardona-Ospina; Estefanía Gutiérrez-Ocampo; Rhuvi Villamizar-Peña; Yeimer Holguin-Rivera; Juan Pablo Escalera-Antezana; Lucia Elena Alvarado-Arnez; D Katterine Bonilla-Aldana; Carlos Franco-Paredes; Andrés F Henao-Martinez; Alberto Paniz-Mondolfi; Guillermo J Lagos-Grisales; Eduardo Ramírez-Vallejo; Jose A Suárez; Lysien I Zambrano; Wilmer E Villamil-Gómez; Graciela J Balbin-Ramon; Ali A Rabaan; Harapan Harapan; Kuldeep Dhama; Hiroshi Nishiura; Hiromitsu Kataoka; Tauseef Ahmad; Ranjit Sah
Journal:  Travel Med Infect Dis       Date:  2020-03-13       Impact factor: 6.211

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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  1 in total

1.  Risk factors for mortality in hemodialysis patients with COVID-19: a systematic review and meta-analysis.

Authors:  Fengping Wang; Guangyu Ao; Yushu Wang; Fuqiang Liu; Mulong Bao; Ming Gao; Shulu Zhou; Xin Qi
Journal:  Ren Fail       Date:  2021-12       Impact factor: 2.606

  1 in total

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