| Literature DB >> 35164684 |
Oscar A Fernández-García1, Ignacio García-Juárez2, Pablo Francisco Belaunzarán-Zamudio1, Mario Vilatoba3, Andrea Wisniowski-Yáñez4, Jacobo Salomón-Ávila5, Miriam Bobadilla-Del-Valle6, José Sifuentes-Osornio4, Jennifer M Cuellar-Rodríguez7.
Abstract
BACKGROUND: In the absence of an adequate prevention strategy, up to 20% of CMV IgG+ liver transplant recipients (LTR) will develop CMV disease. Despite improved reporting in CMV-DNAemia, there is no consensus as to what the ideal CMV-DNAemia cutoff for a successful preemptive strategy is. Each transplant centre establishes their own threshold. We aimed to determine the effectiveness of our preventive strategy in CMV IgG+ LTR, and evaluate CMV replication kinetics.Entities:
Keywords: Cytomegalovirus; DNAemia; Preemptive therapy; Replication; Viremia
Mesh:
Substances:
Year: 2022 PMID: 35164684 PMCID: PMC8845382 DOI: 10.1186/s12879-022-07123-w
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Characteristics of the study population
| Characteristic | N = 123 |
|---|---|
| Women | 64 (52%) |
| Age | 52 years (18–69) |
| MELD | 16 (6–40) |
| Child–Pugh A | 9 (7%) |
| Child–Pugh B | 44 (35%) |
| Child–Pugh C | 64 (52%) |
| Hepatocellular carcinoma | 28 (23%) |
| Hepatitis C virus | 26 (21%) |
| Cryptogenic cirrhosis | 26 (21%) |
| Primary biliary cholangitis | 12 (9.5%) |
| Autoimmune hepatitis/primary biliary cholangitis overlap | 8 (6.5%) |
| Autoimmune hepatitis | 8 (6.5%) |
| Alcohol | 8 (6.5%) |
| Benign bile duct lesions | 8 (6.5%) |
| Non-alcoholic steatohepatitis | 7 (5.6%) |
| Primary sclerosing cholangitis | 6 (4.8%) |
| Other* | 14 (11.3%) |
HCC hepatocellular carcinoma
*Other causes included inborn errors of immunity, tumors, acute liver failure and drug-induced liver injury. These subjects did not have the Child–Pugh score calculated as they did not have cirrhosis
Fig. 1Graphical representation CMV viral loads over time. The red line represents the cut-off for treatment initiation (3.6 log, 4000 UI/ml). W week, M month
Viral replication kinetics
| Parameter | N = 70 | CV ≥ 4000 N = 19 | CV < 4000 N = 51 | p |
|---|---|---|---|---|
| Growth rate (r) UI/ml/day | 0.16 (0.07–0.33) | 0.23 (0.16–0.5) | 0.12 (0.02–0.26) | 0.001 |
| Duplication time (days) | 3.75 (1.85–5.55) | 2.91 (1.36–4.32) | 4.23 (2.04–9.55) | 0.026 |
| R0 (basic reproductive number) | 1.23 (1.1–1.48) | 1.34 (1.23–1.73) | 1.18 (1.04–1.37) | 0.001 |
Data are presented as medians and interquartile range
Bivariate analysis to determine variables associated with development of DNAemia ≥ 4000UI/ml
| Variable | Total N = 113 | VL ≥ 4000 UI/ml | VL < 4000 UI/ml | OR (CI95%) | p |
|---|---|---|---|---|---|
| Age | 52 (41–59) | 55 (39–62) | 51 (41–58) | 1.01 (0.97–1.06) | 0.34 |
| Female sex | 57 (50%) | 13 (56%) | 44 (49%) | 1.35 (0.54.3.41) | 0.51 |
| Hepatitis C | 23 (20%) | 3 (9%) | 10 (22%) | 0.52 (0.14–1.94) | 0.33 |
| Cryptogenic cirrhosis | 24 (21%) | 3(13%) | 21 (23%) | 0.49 (0.13–1.82) | 0.28 |
| Autoimmune hepatitis | 20 (18%) | 7 (30%) | 13 (14%) | 2.58 (0.89–7.51) | 0.08 |
| Hepatocellular carcinoma | 25 (22%) | 5 (22%) | 20 (22%) | 0.97 (0.32–2.94) | 0.96 |
| Child–Pugh C | 62 (55%) | 12 (52%) | 50 (55%) | 0.87 (0.34–2.18) | 0.77 |
| MELD | 35 (31%) | 7 (30%) | 28 (31%) | 0.96 (0.35–2.61) | 0.95 |
| Donor CMV IgG positive | 72/83 (87%) | 18/19 (95%) | 54/64 (84%) | 3.33 (0.39–27.87) | 0.26 |
| Surgical time > 7 h | 27/109 (25%) | 4/22 (18%) | 23/87 (26%) | 0.61 (0.18–2.01) | 0.42 |
| > 6 blood cell transfused | 24 (21%) | 5 (22%) | 19 (21%) | 1.03 (0.34–3.15) | 0.94 |
| Reoperation | 10 (9%) | 1 (4%) | 9 (10%) | 0.4 (0.49–3.4) | 0.4 |
| Grade 3 AKI | 25 (22%) | 4 (17%) | 21 (23%) | 0.69 (0.21–2.25) | 0.54 |
| Posttransplant bacterial infection | 27 (24%) | 5 (22%) | 22 (24%) | 0.85 (0.28–2.58) | 0.78 |
| Viral load growth rate > 0.16 UI/ml/day | 37/70 (53%) | 15/19 (79%) | 22/51 (43%) | 4.94 (1.43–16.98) | 0.011 |
Continuous variables are presented as medians and inter-quartile range. Categorical variables are presents as percentages
VL viral load, MELD Model for End Stage Liver Disease, AKI acute kidney injury