| Literature DB >> 33350674 |
Vivek B Kute1, Anil K Bhalla2, Sandeep Guleria3, Deepak S Ray4, Madan M Bahadur5, Ashay Shingare5, Umapati Hegde6, Sishir Gang6, Sreebhushan Raju7, Himanshu V Patel1, Siddharth Jain8, Suraj Godara9, Pranjal Modi10, Manoj Gumber11, Divyesh P Engineer1, Sonal Dalal12, Prakash Darji13, Manish Balwani14, Ansy H Patel15, Vineet V Mishra16.
Abstract
BACKGROUND: There is a scarcity of data on the consequences of coronavirus disease-19 (COVID-19) infections in kidney transplant recipients (KTRs) from emerging countries.Entities:
Mesh:
Substances:
Year: 2021 PMID: 33350674 PMCID: PMC7993652 DOI: 10.1097/TP.0000000000003593
Source DB: PubMed Journal: Transplantation ISSN: 0041-1337 Impact factor: 5.385
COVID-19 state-wise data, India
| Area | Confirmed | Active | Recovered | Deceased | Death rate (%) |
|---|---|---|---|---|---|
| India | 5 810 553 | 960 969 | 4 849 584 | 93 379 | 1.6 |
| Maharashtra | 1 265 996 | 273 190 | 992 806 | 34 761 | 2.74 |
| Delhi | 259 303 | 30 867 | 228 436 | 5147 | 1.98 |
| Gujarat | 126 836 | 16 478 | 110 358 | 3393 | 2.67 |
| West Bengal | 236 394 | 25 374 | 211 020 | 4665 | 1.97 |
| Telengana | 182 775 | 30 334 | 152 441 | 1091 | 0.6 |
| Rajasthan | 123 318 | 19 030 | 104 288 | 1412 | 1.14 |
Total samples tested in India: 5 810 553 as on September 26, 2020, 08:00 IST.
COVID-19, coronavirus disease 2019.
Baseline demographics, comorbidities, and medications of kidney transplant recipients with COVID-19 at the time of diagnosis
| Median (IQR) or n (%) | ||||
|---|---|---|---|---|
| Total (N = 250) | Survivors (N = 221) | Nonsurvivors (N = 29) | ||
| Age, y | 43 (35–51) | 42 (35–50) | 54 (49–56) | <0.0001 |
| Age ≥60 y | 9 (3.6) | 4 (1.8) | 5 (17.2) | 0.0014 |
| Male gender | 215 (86) | 189 (85.5) | 26 (89.6) | 0.546 |
| Female gender | 35 (14) | 32 (14.5) | 3 (11.4) | |
| Transplant to COVID-19 time, y | 3.5 (1.8–6.2) | 3.5 (1.5–6.5) | 3.5 (2.8–4.5) | 0.646 |
| ≤1 | 50 (20) | 49 (22.2) | 1 (3.5) | 0.052 |
| >1 | 200 (80) | 172 (77.8) | 28 (96.5) | |
| Living donor | 226 (90.4) | 201 (90.9) | 25 (86.2) | 0.415 |
| Deceased donor | 24 (9.6) | 20 (9.1) | 4 (13.8) | |
| Cause of kidney disease | 0.736 | |||
| Hypertension | 121 (48.4) | 106 (47.9) | 15 (51.7) | |
| Diabetes mellitus | 69 (27.6) | 57 (25.7) | 12 (41) | |
| Glomerular disease | 40 (16) | 35 (15.8) | 5 (17.2) | |
| Others | 10 (4) | 8 (3.6) | 2 (6.8) | |
| Current immunosuppression | ||||
| Prednisolone | 250 (100) | 221 (100) | 29 (100) | 1.0 |
| Calcineurin inhibitor | 236 (94.4) | 209 (94.6) | 27 (93.1) | 0.747 |
| Antimetabolite | 250 (100) | 221 (100) | 29 (100) | 1.0 |
| Sirolimus/everolimus | 14 (5.6) | 12 (5.4) | 2 (6.9) | 0.747 |
| Induction | <0.0001 | |||
| Thymoglobulin | 182 (72.8) | 162 (73.3) | 20 (68) | |
| Basiliximab | 20 (8) | 12(5.4) | 8 (27.5) | |
| No induction | 48 (19.2) | 47 (21.2) | 1 (3.4) | |
| Antirejection therapy | 40 (16) | 15 (6.7) | 25 (86.2) | 0.0001 |
| ACEI, ARB use | 75 (30) | 66 (29.8) | 9 (31) | 0.897 |
| Flu vaccination | 26 (10.4) | 23 (10.4) | 3 (10.3) | 0.992 |
| Recipient’s blood group | ||||
| A | 63 (25.2) | 60 (27.1) | 3 (10.3) | 0.050 |
| B | 92 (36.8) | 75 (33.9) | 17 (58.6) | 0.010 |
| AB | 6 (2.4) | 6 (2.7) | 0 (0) | 0.369 |
| O | 84 (33.6) | 75 (33.9) | 9 (31) | 0.756 |
| Comorbidities | 235 (94) | 206 (93.2) | 29 (100) | 0.148 |
| Hypertension | 210 (84) | 185 (83.7) | 25 (86.2) | 0.730 |
| Diabetes | 80 (32) | 65 (29.4) | 15 (51.7) | 0.015 |
| Heart disease | 30 (12) | 25 (11.3) | 5 (17.2) | 0.3356 |
| Virus (CMV/HCV/HBV) | 25 (10) | 20 (9) | 5 (17.2) | 0.167 |
| Allograft dysfunction before COVID-19 | 77 (30.8) | 51 (23) | 26 (89.7) | <0.0001 |
| BMI, kg/m2 | ||||
| <25 | 49 (19.6) | 46 (20.8) | 3 (10.3) | 0.182 |
| 25–30 | 120 (54.3) | 110 (49.8) | 10 (34.5) | 0.121 |
| >30 | 53 (23.9) | 37 (16.7) | 16 (55.2) | <0.0001 |
| ≥1 comorbidities | 115 (46) | 87 (39.3) | 28 (96.5) | <0.0001 |
| No comorbidities | 15 (6) | 15 (6.8) | 0 (0) | 0.148 |
ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; BMI, body mass index; CMV, cytomegalovirus; COVID-19, coronavirus disease 2019; HBV, hepatitis B virus; HCV, hepatitis C virus; IQR, interquartile range.
Symptoms and laboratory findings of kidney transplant recipients with COVID-19
| N | Total (N = 250) | Survivors (N = 221) | Nonsurvivors (N = 29) | ||
|---|---|---|---|---|---|
| Clinical symptoms, n (%) | 250 | ||||
| Fever | 220 (88) | 195 (88.2) | 25 (86.2) | 0.752 | |
| Cough | 180 (72) | 159 (71.9) | 21 (72.4) | 0958 | |
| Sputum production | 130 (52) | 112 (50.6) | 18 (62) | 0.248 | |
| Myalgia | 62 (25) | 52 (23.5) | 10 (34.4) | 0.199 | |
| Diarrhea | 60 (24) | 57 (25.7) | 3 (10.3) | 0.067 | |
| Dyspnea | 55 (22) | 30 (13.5) | 25 (86.2) | <0.0001 | |
| No symptoms | 15 (6) | 15 (6.7) | 0 (0) | 0.148 | |
| Chest X-ray, n (%) | 220 | <0.0001 | |||
| No abnormalities | 108 (49) | 108 (48.8) | 0 (0) | ||
| Abnormalities | 112 (51) | 83 (37.5) | 29 (100) | ||
| Chest CT scan abnormalities | 120 | 120 (48) | 102 (46) | 18 (62) | 0.107 |
| Laboratory reports, median (IQR) | |||||
| Hemoglobin (g/dL) | 226 | 11.2 (9.9–12.5) | 11.4 (10–12.5) | 10.5 (8.5–12) | 0.017 |
| White blood cell (/mm3) | 226 | 6737 (5118–9485) | 6600 (4978–8900) | 11420 (7850–13700) | 0.0001 |
| Neutrophil (%) | 226 | 77 (68–86) | 77 (67–85) | 83 (78–89) | <0.05 |
| Lymphocyte (%) | 226 | 18 (12–24) | 19 (14–25) | 12 (9–15) | 0.0001 |
| Platelet × 103 (/mm3) | 226 | 215 (174–254) | 218 (176–254) | 169 (137–252) | 0.35 |
| C-reactive protein (mg/L) | 164 | 52 (24–96) | 40 (21–64) | 163 (104–175) | <0.0001 |
| Procalcitonin (ng/mL) | 141 | 0.09 (<0.05–0.7) | <0.05 (<0.05–0.64) | 0.37 (0.22–1.68) | <0.0001 |
| Interleukin-6 (pg/mL) | 95 | 25 (16–55) | 24 (14–38) | 111 (67–269) | <0.05 |
| Feritin (ng/mL) | 165 | 450 (207–994) | 345 (174–932) | 975 (842–1164) | <0.0001 |
| D-dimer (μg/L) | 145 | 1200 (642–2420) | 1085 (589–2324) | 2130 (1339–4319) | <0.012 |
| Lactate dehydrogenase (U/L) | 141 | 310 (260–407) | 297 (245–345) | 543 (348–733) | <0.0001 |
| Alanine aminotransferase (U/L) | 169 | 30 (18–42) | 26 (17–39) | 50 (33–120) | <0.0001 |
| Albumin (g/dL) | 178 | 3.6 (3.1–3.9) | 3.7 (3.3–3.9) | 3 (2.9–3.1) | <0.0001 |
| Blood urea (mg/dL) | 169 | 47 (33–74) | 43 (32–63) | 70 (56–145) | <0.05 |
| Creatinine (mg/dL) | <0.05 | ||||
| Baseline before COVID-19 | 234 | 1.4 (1.2–1.8) | 1.4 (1.1–1.64) | 2.2 (1.5–3.33) | <0.0001 |
| COVID-19 diagnosis/presentation | 234 | 1.8 (1.32–2.62) | 1.7 (1.3–2.2) | 3 (2–4.5) | 0.002 |
| Discharge/death/last follow-up | 213 | 1.55 (1.3–2.35) | 1.5 (1.27–2) | 3.3 (2.1–4.5) | <0.0001 |
| Clinical severity, n (%) | 250 | <0.0001 | |||
| Asymptomatic | 15 (6) | 15 (6.7) | 0 (0) | ||
| Mild | 150 (60) | 150 (67.8) | 0 (0) | ||
| Moderate | 50 (20) | 47 (21.2) | 3 (10.3) | ||
| Severe | 35 (14) | 9 (4) | 26 (89.6) | ||
COVID-19, coronavirus disease 2019; CT, computed tomography; IQR, interquartie range.
Treatment modalities and clinical outcomes of kidney transplant recipients with COVID-19
| n (%) | ||||
|---|---|---|---|---|
| Total (N = 250) | Survivors (N = 221) | Nonsurvivors (N = 29) | ||
| Immunosuppression change | ||||
| Steroid | <0.0001 | |||
| Increased | 100 (40) | 71 (32) | 29 (100) | |
| No change | 150 (60) | 150 (67) | 0 (0) | |
| Antimetabolites | 0.0002 | |||
| Discontinued | 188 (75.2) | 159 (71.9) | 29 (100) | |
| Reduced | 62 (24.8) | 62 (28) | 0 (0) | |
| Calcineurin inhibitor | <0.0001 | |||
| No change | 165 (66) | 165 (74.6) | 0 (0) | |
| Reduced | 50 (20) | 42 (19) | 8 (27.5) | |
| Discontinued | 21 (8.4) | 0 (0) | 21 (72.4) | |
| Treatment | ||||
| Azithromycin | 200 (80) | 175 (79.1) | 25 (86) | 0.374 |
| Hydroxychloroquine | 160 (64) | 141 (61.5) | 19 (65) | 0.856 |
| Favipiravir | 54 (21) | 49 (22.1) | 5 (17.2) | 0.544 |
| Remdesivir | 35 (14) | 28 (12.6) | 7 (24) | 0.094 |
| Tocilizumab | 26 (10.4) | 6 (2.7) | 20 (68.9) | <0.0001 |
| Convalescent plasma | 15 (6) | 5 (2.3) | 10 (34.4) | <0.0001 |
| Cytosorb filter | 4 (1.6) | 1 (0.5) | 3 (10.3) | <0.0001 |
| Iv immunoglobulin | 10 (4) | 10 (4.5) | 0 (0) | 0.242 |
| Clinical outcomes | ||||
| Home therapy | 50 (20) | 50 (22.6) | 0 (0) | 0.0004 |
| Hospital stay | 200 (80) | 171 (77.3) | 29 (100) | |
| Acute kidney injury | 121 (48.4) | 93 (42) | 28 (96.5) | <0.0001 |
| Renal replacement therapy | 24 (9.6) | 19 (8.6) | 5 (17.2) | 0.137 |
| Graft loss | 12 (4.8) | 10 (4.5) | 2 (6.8) | 0.574 |
| ICU stay | 53 (21) | 28 (12.6) | 25 (86) | <0.0001 |
| Intubation | 30 (12) | 1 (0.5) | 29 (100) | <0.0001 |
COVID-19, coronavirus disease 2019; ICU, intensive care unit.
Cox regression model for multivariate analysis
| Variables in the equation | B | SE | Wald | df | HR-Exp(B) | 95% CI for Exp(B) | ||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Group | −13.112 | 26.211 | 0.250 | 1 | 0.617 | 0.000 | 0.000 | 4.13216 |
| Age | −0.160 | 0.368 | 0.190 | 1 | 0.663 | 0.852 | 0.414 | 1.753 |
| Hemoglobin | 2.251 | 2.827 | 0.634 | 1 | 0.426 | 9.500 | 0.037 | 2.424E3 |
| White blood cell | 0.001 | 0.001 | 1.305 | 1 | 0.253 | 1.001 | 0.999 | 1.002 |
| Neutrophil | 0.337 | 1.207 | 0.078 | 1 | 0.780 | 1.401 | 0.132 | 14.926 |
| Lymphocyte | 0.403 | 1.481 | 0.074 | 1 | 0.786 | 1.496 | 0.082 | 27.233 |
| Platelet | −0.029 | 0.042 | 0.474 | 1 | 0.491 | 0.971 | 0.894 | 1.055 |
| Procalcitonin | −1.706 | 1.649 | 1.070 | 1 | 0.301 | 0.182 | 0.007 | 4.599 |
| C-reactive protein | 0.037 | 0.255 | 0.021 | 1 | 0.886 | 1.037 | 0.630 | 1.709 |
| IL-6 level | 0.011 | 0.120 | 0.008 | 1 | 0.927 | 1.011 | 0.800 | 1.278 |
| Ferritin | −0.003 | 0.007 | 0.122 | 1 | 0.726 | 0.997 | 0.983 | 1.012 |
| D-dimer | 0.002 | 0.004 | 0.265 | 1 | 0.607 | 1.002 | 0.994 | 1.010 |
| Lactate dehydrogenase | −0.003 | 0.027 | 0.015 | 1 | 0.901 | 0.997 | 0.945 | 1.051 |
| Alanine aminotransferase | 0.045 | 0.272 | 0.027 | 1 | 0.869 | 1.046 | 0.614 | 1.782 |
| Blood urea | 0.040 | 0.124 | 0.102 | 1 | 0.749 | 1.040 | 0.816 | 1.327 |
| Baseline creatinine before COVID-19 | 8.599 | 4.255 | 4.083 | 1 | 5.424 | 1.294 | 2.273E7 | |
| Creatinine at COVID-19 diagnosis | −3.964 | 3.577 | 1.228 | 1 | 0.268 | 0.019 | 0.000 | 21.059 |
| Creatinine at discharge/follow-up | −0.163 | 2.418 | 0.005 | 1 | 0.946 | 0.849 | 0.007 | 97.178 |
| Albumin | 15.340 | 16.777 | 0.836 | 1 | 0.361 | 4.592E6 | 0.000 | 8.755E20 |
CI, confidence interval; COVID-19, coronavirus disease 2019; df, degree of freedom; HR, hazard ratio; IL-6, interleukin-6.
Clinical features and outcomes of COVID-19 in the organ transplant recipients
| Cravedi et al[ | Pereira et al[ | Bossini et al[ | Akalin et al[ | Caillard et al[ | Kates et al[ | |
|---|---|---|---|---|---|---|
| Study population | 144 | 90 | 53 | 36 | 279 | 482 |
| Study location | United States, Italy, Spain | United States | Italy | United States | France | Multicenter cohort, United States |
| Study duration (2020) | March 2–May 15 | March 13–April 3 | March 1–April 16 | March 16–April 1 | March 1–April 15 | |
| Type of transplants | Kidney (n = 144) | Kidney (n = 46), lung (n = 17), liver (n = 13), heart (n = 9), 5 dual-organ transplants | Kidney (n = 53) | Kidney (n = 36) | Kidney (n = 268), dual-organ transplant (n = 11) | Kidney (n = 318), liver (n = 73), heart (n = 57), lung (n = 30), 5 dual-organ transplants |
| Median age of presentation (y) | 60 | 57 | 60 | 60 | 61.6 | 58 |
| Median transplant age (y) | 5 | 6.6 | 9.2 | N/A | 6.1 | 5 |
| Comorbidities (%) | ||||||
| Hypertension | 95 | 64 | 79 | 94 | 90.1 | 77.4 |
| Diabetes | 52 | 46 | 21 | 69 | 41.3 | 51 |
| Clinical presentation (%) | ||||||
| Fever | 67 | 70 | 96 | 58 | 80 | 54.6 |
| Cough | – | 59 | 49 | 53 | 63.6 | 73.2 |
| Dyspnea | 67 | 43 | 28 | 44 | 40.3 | 58.5 |
| Diarrhea | 38 | 31 | 17 | 22 | 43.5 | 47.9 |
| Immunosuppression reduction/withheld (%) | ||||||
| CNI | 23 | 18 | 50 | 21 | 28.7 | |
| Antimetabolite | 68 | 88 | 100 | 86 | 70.8 | 66 |
| Steroid | 7% decrease | |||||
| Complications | ||||||
| Acute kidney injury (%) | 52 | 33 | 21 | 43.6 | 37.8 | |
| Acute respiratory distress syndrome (%) | 29 | 35 | 60 | 39 | ||
| Mortality (%) | 32 | 18 (overall), 24 (hospitalized) | 33 | 28 | 22.8 (30 d) | 18.7 (28 d) |
| Risk factors for mortality | Older age, lower lymphocyte counts, eGFR, higher serum lactate dehydrogenase, procalcitonin, IL-6 levels | Advanced age | Age >60 y, dyspnea, tacrolimus, and requiring admission | Overweight, fever, dyspnea, age >60 y, CVD | Age >65 y, obesity, chronic lung disease, lymphopenia, radiological abnormality | |
| Median follow-up | 52 d | 20 d | 26 d | 28 d | ||
| Remark | 24% mild, 46% moderate, 30% severe disease | 15% outpatient mild disease, 85% inpatient severe disease | 75% deceased donor, 22% outpatient, 78% inpatient | |||
CNI, calcineurin inhibitor; COVID-19, coronavirus disease 2019; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; IL-6, interleukin-6.